From a50303f722ffa84d8f64f8c9d1abb76ad0bb0c3c Mon Sep 17 00:00:00 2001
From: Logan <logan.markewich@live.com>
Date: Thu, 15 Feb 2024 21:51:29 -0600
Subject: [PATCH] Logan/merge next (#10676)
---
.github/workflows/unit_test.yml | 4 +-
.../evaluation/faithfulness_eval.ipynb | 87 +-
docs/examples/evaluation/relevancy_eval.ipynb | 316 +-
.../MetadataExtraction_LLMSurvey.ipynb | 435 +-
.../__pycache__/directory.cpython-311.pyc | Bin 2546 -> 0 bytes
llama-index-core/BUILD | 1 +
.../llama_index/core/agent/runner/base.py | 8 +-
.../llama_index/core/callbacks/base.py | 5 +
.../core/command_line/command_line.py | 2 +-
.../llama_index/core/constants.py | 6 +
.../llama_index/core/evaluation/eval_utils.py | 104 +
.../llama_index/core/indices/managed/base.py | 4 +-
.../llama_index/core/ingestion/api_utils.py | 151 +
.../llama_index/core/ingestion/data_sinks.py | 176 +
.../core/ingestion/data_sources.py | 376 ++
.../llama_index/core/ingestion/pipeline.py | 314 +-
.../core/ingestion/transformations.py | 346 ++
llama-index-core/llama_index/core/llms/llm.py | 24 +-
.../llama_index/core/node_parser/interface.py | 16 +-
.../core/node_parser/text/utils.py | 2 -
.../llama_index/core/program/utils.py | 4 +-
.../llama_index/core/prompts/base.py | 10 +-
llama-index-core/llama_index/core/types.py | 6 +
llama-index-core/poetry.lock | 510 +-
llama-index-core/pyproject.toml | 1 +
.../tests/embeddings/todo_hf_test_utils.py | 56 +
.../tests/evaluation/test_platform_eval.py | 30 +
.../tests/ingestion/test_data_sinks.py | 76 +
.../tests/ingestion/test_data_sources.py | 55 +
.../tests/ingestion/test_pipeline.py | 18 +-
.../tests/ingestion/test_transformations.py | 68 +
.../__pycache__/__init__.cpython-310.pyc | Bin 371 -> 0 bytes
.../__pycache__/base.cpython-310.pyc | Bin 7959 -> 0 bytes
.../__pycache__/__init__.cpython-310.pyc | Bin 226 -> 0 bytes
...ence_callback.cpython-310-pytest-7.2.1.pyc | Bin 1285 -> 0 bytes
.../__pycache__/__init__.cpython-310.pyc | Bin 355 -> 0 bytes
.../__pycache__/base.cpython-310.pyc | Bin 4455 -> 0 bytes
.../__pycache__/__init__.cpython-310.pyc | Bin 224 -> 0 bytes
...ayer_callback.cpython-310-pytest-7.2.1.pyc | Bin 1269 -> 0 bytes
.../__pycache__/__init__.cpython-310.pyc | Bin 339 -> 0 bytes
.../wandb/__pycache__/base.cpython-310.pyc | Bin 16413 -> 0 bytes
.../__pycache__/__init__.cpython-310.pyc | Bin 218 -> 0 bytes
...andb_callback.cpython-310-pytest-7.2.1.pyc | Bin 1253 -> 0 bytes
.../embeddings/azure_openai/base.py | 5 +
.../pyproject.toml | 2 +-
.../embeddings/huggingface/base.py | 26 +-
.../pyproject.toml | 2 +-
.../llama_index/embeddings/openai/base.py | 10 +-
.../pyproject.toml | 2 +-
.../.gitignore | 153 +
.../BUILD | 6 +
.../Makefile | 17 +
.../README.md | 1 +
.../indices/managed/llama_cloud/BUILD | 1 +
.../indices/managed/llama_cloud/__init__.py | 7 +
.../indices/managed/llama_cloud/base.py | 224 +
.../indices/managed/llama_cloud/retriever.py | 116 +
.../poetry.lock | 4474 +++++++++++++++++
.../pyproject.toml | 50 +
.../tests/test_openai_like.py | 1 -
.../llama_index/llms/openai/base.py | 2 +-
.../llama-index-llms-openai/pyproject.toml | 4 +-
.../llama_index/readers/notion/base.py | 15 +-
.../llama_index/readers/twitter/base.py | 2 +-
.../readers/web/beautiful_soup_web/base.py | 14 +-
.../llama_index/readers/web/rss/base.py | 36 +-
.../readers/web/simple_web/base.py | 47 +-
.../readers/web/trafilatura_web/base.py | 14 +-
.../readers/youtube_transcript/base.py | 23 +-
.../tests/ingestion/test_pipeline.py | 181 +-
.../packs/llama_dataset_metadata/base.py | 10 +-
poetry.lock | 27 +-
pyproject.toml | 3 +-
73 files changed, 7944 insertions(+), 742 deletions(-)
delete mode 100644 docs/examples/output_parsing/__pycache__/directory.cpython-311.pyc
create mode 100644 llama-index-core/llama_index/core/ingestion/api_utils.py
create mode 100644 llama-index-core/llama_index/core/ingestion/data_sinks.py
create mode 100644 llama-index-core/llama_index/core/ingestion/data_sources.py
create mode 100644 llama-index-core/llama_index/core/ingestion/transformations.py
create mode 100644 llama-index-core/tests/embeddings/todo_hf_test_utils.py
create mode 100644 llama-index-core/tests/evaluation/test_platform_eval.py
create mode 100644 llama-index-core/tests/ingestion/test_data_sinks.py
create mode 100644 llama-index-core/tests/ingestion/test_data_sources.py
create mode 100644 llama-index-core/tests/ingestion/test_transformations.py
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-openinference/llama_index/callbacks/openinference/__pycache__/__init__.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-openinference/llama_index/callbacks/openinference/__pycache__/base.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/__pycache__/__init__.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/__pycache__/test_openinference_callback.cpython-310-pytest-7.2.1.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__pycache__/__init__.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__pycache__/base.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/tests/__pycache__/__init__.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/tests/__pycache__/test_promptlayer_callback.cpython-310-pytest-7.2.1.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__pycache__/__init__.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__pycache__/base.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/__pycache__/__init__.cpython-310.pyc
delete mode 100644 llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/__pycache__/test_wandb_callback.cpython-310-pytest-7.2.1.pyc
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/.gitignore
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/BUILD
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/Makefile
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/README.md
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/BUILD
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/__init__.py
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/base.py
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/retriever.py
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/poetry.lock
create mode 100644 llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml
diff --git a/.github/workflows/unit_test.yml b/.github/workflows/unit_test.yml
index a92a440248..b805eb928b 100644
--- a/.github/workflows/unit_test.yml
+++ b/.github/workflows/unit_test.yml
@@ -38,8 +38,8 @@ jobs:
with:
# v0 makes it easy to bust the cache if needed
# just increase the integer to start with a fresh cache
- gha-cache-key: v0-py${{ matrix.python_version }}
- named-caches-hash: v0-py${{ matrix.python_version }}
+ gha-cache-key: v1-py${{ matrix.python_version }}
+ named-caches-hash: v1-py${{ matrix.python_version }}
pants-python-version: ${{ matrix.python-version }}
pants-ci-config: pants.toml
- name: Check BUILD files
diff --git a/docs/examples/evaluation/faithfulness_eval.ipynb b/docs/examples/evaluation/faithfulness_eval.ipynb
index fbf01350a9..30410a705a 100644
--- a/docs/examples/evaluation/faithfulness_eval.ipynb
+++ b/docs/examples/evaluation/faithfulness_eval.ipynb
@@ -19,7 +19,7 @@
"metadata": {},
"outputs": [],
"source": [
- "%pip install llama-index-llms-openai"
+ "%pip install llama-index-llms-openai pandas[jinja2] spacy"
]
},
{
@@ -38,16 +38,13 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "9080b39e",
+ "id": "190a6684",
"metadata": {},
"outputs": [],
"source": [
- "# configuring logger to INFO level\n",
- "import logging\n",
- "import sys\n",
+ "import os\n",
"\n",
- "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
- "logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))"
+ "os.environ[\"OPENAI_API_KEY\"] = \"sk-...\""
]
},
{
@@ -58,7 +55,6 @@
"outputs": [],
"source": [
"from llama_index.core import (\n",
- " TreeIndex,\n",
" VectorStoreIndex,\n",
" SimpleDirectoryReader,\n",
" Response,\n",
@@ -123,8 +119,11 @@
"metadata": {},
"outputs": [],
"source": [
+ "from llama_index.core.evaluation import EvaluationResult\n",
+ "\n",
+ "\n",
"# define jupyter display function\n",
- "def display_eval_df(response: Response, eval_result: str) -> None:\n",
+ "def display_eval_df(response: Response, eval_result: EvaluationResult) -> None:\n",
" if response.source_nodes == []:\n",
" print(\"no response!\")\n",
" return\n",
@@ -133,6 +132,7 @@
" \"Response\": str(response),\n",
" \"Source\": response.source_nodes[0].node.text[:1000] + \"...\",\n",
" \"Evaluation Result\": \"Pass\" if eval_result.passing else \"Fail\",\n",
+ " \"Reasoning\": eval_result.feedback,\n",
" },\n",
" index=[0],\n",
" )\n",
@@ -176,32 +176,34 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_db5e8_row0_col0, #T_db5e8_row0_col1 {\n",
+ "#T_21e1a_row0_col0, #T_21e1a_row0_col1 {\n",
" inline-size: 600px;\n",
" overflow-wrap: break-word;\n",
"}\n",
"</style>\n",
- "<table id=\"T_db5e8\">\n",
+ "<table id=\"T_21e1a\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_db5e8_level0_col0\" class=\"col_heading level0 col0\" >Response</th>\n",
- " <th id=\"T_db5e8_level0_col1\" class=\"col_heading level0 col1\" >Source</th>\n",
- " <th id=\"T_db5e8_level0_col2\" class=\"col_heading level0 col2\" >Evaluation Result</th>\n",
+ " <th id=\"T_21e1a_level0_col0\" class=\"col_heading level0 col0\" >Response</th>\n",
+ " <th id=\"T_21e1a_level0_col1\" class=\"col_heading level0 col1\" >Source</th>\n",
+ " <th id=\"T_21e1a_level0_col2\" class=\"col_heading level0 col2\" >Evaluation Result</th>\n",
+ " <th id=\"T_21e1a_level0_col3\" class=\"col_heading level0 col3\" >Reasoning</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_db5e8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_db5e8_row0_col0\" class=\"data row0 col0\" >New York City got its name from the English explorer Henry Hudson, who rediscovered New York Harbor in 1609 while searching for the Northwest Passage. He named the area New York after the Duke of York, who later became King James II of England.</td>\n",
- " <td id=\"T_db5e8_row0_col1\" class=\"data row0 col1\" >He claimed the area for France and named it Nouvelle Angoulême (New Angoulême).A Spanish expedition, led by the Portuguese captain Estêvão Gomes sailing for Emperor Charles V, arrived in New York Harbor in January 1525 and charted the mouth of the Hudson River, which he named RÃo de San Antonio ('Saint Anthony's River').The Padrón Real of 1527, the first scientific map to show the East Coast of North America continuously, was informed by Gomes' expedition and labeled the northeastern United States as Tierra de Esteban Gómez in his honor.In 1609, the English explorer Henry Hudson rediscovered New York Harbor while searching for the Northwest Passage to the Orient for the Dutch East India Company.He proceeded to sail up what the Dutch would name the North River (now the Hudson River), named first by Hudson as the Mauritius after Maurice, Prince of Orange.Hudson's first mate described the harbor as \"a very good Harbour for all windes\" and the river as \"a mile broad\" and \"full of fish\".Hud...</td>\n",
- " <td id=\"T_db5e8_row0_col2\" class=\"data row0 col2\" >Fail</td>\n",
+ " <th id=\"T_21e1a_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_21e1a_row0_col0\" class=\"data row0 col0\" >New York City got its name when it came under British control in 1664. It was renamed New York after King Charles II of England granted the lands to his brother, the Duke of York.</td>\n",
+ " <td id=\"T_21e1a_row0_col1\" class=\"data row0 col1\" >The city came under British control in 1664 and was renamed New York after King Charles II of England granted the lands to his brother, the Duke of York. The city was regained by the Dutch in July 1673 and was renamed New Orange for one year and three months; the city has been continuously named New York since November 1674. New York City was the capital of the United States from 1785 until 1790, and has been the largest U.S. city since 1790. The Statue of Liberty greeted millions of immigrants as they came to the U.S. by ship in the late 19th and early 20th centuries, and is a symbol of the U.S. and its ideals of liberty and peace. In the 21st century, New York City has emerged as a global node of creativity, entrepreneurship, and as a symbol of freedom and cultural diversity. The New York Times has won the most Pulitzer Prizes for journalism and remains the U.S. media's \"newspaper of record\". In 2019, New York City was voted the greatest city in the world in a survey of over 30,000 p...</td>\n",
+ " <td id=\"T_21e1a_row0_col2\" class=\"data row0 col2\" >Pass</td>\n",
+ " <td id=\"T_21e1a_row0_col3\" class=\"data row0 col3\" >YES</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f991be1bc40>"
+ "<pandas.io.formats.style.Styler at 0x169353d10>"
]
},
"metadata": {},
@@ -229,22 +231,23 @@
"metadata": {},
"outputs": [
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "WARNING:llama_index.indices.service_context:chunk_size_limit is deprecated, please specify chunk_size instead\n",
- "chunk_size_limit is deprecated, please specify chunk_size instead\n",
- "chunk_size_limit is deprecated, please specify chunk_size instead\n"
+ "/Users/loganmarkewich/giant_change/llama_index/llama-index-core/llama_index/core/evaluation/dataset_generation.py:212: DeprecationWarning: Call to deprecated class DatasetGenerator. (Deprecated in favor of `RagDatasetGenerator` which should be used instead.)\n",
+ " return cls(\n",
+ "/Users/loganmarkewich/giant_change/llama_index/llama-index-core/llama_index/core/evaluation/dataset_generation.py:309: DeprecationWarning: Call to deprecated class QueryResponseDataset. (Deprecated in favor of `LabelledRagDataset` which should be used instead.)\n",
+ " return QueryResponseDataset(queries=queries, responses=responses_dict)\n"
]
},
{
"data": {
"text/plain": [
"['What is the population of New York City as of 2020?',\n",
- " 'Which borough of New York City is home to the headquarters of the United Nations?',\n",
- " 'How many languages are spoken in New York City, making it the most linguistically diverse city in the world?',\n",
- " 'Who founded the trading post on Manhattan Island that would later become New York City?',\n",
- " 'What was New York City named after in 1664?']"
+ " 'Which city is the second-largest in the United States?',\n",
+ " 'How many people live within 250 miles of New York City?',\n",
+ " 'What are the five boroughs of New York City?',\n",
+ " 'What is the gross metropolitan product of the New York metropolitan area?']"
]
},
"execution_count": null,
@@ -297,36 +300,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=35 request_id=b36e17a843c31e827f0b7034e603cf28 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=35 request_id=b36e17a843c31e827f0b7034e603cf28 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=35 request_id=b36e17a843c31e827f0b7034e603cf28 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=35 request_id=5acb726518065db9312da9f23beef411 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=35 request_id=5acb726518065db9312da9f23beef411 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=35 request_id=5acb726518065db9312da9f23beef411 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=46 request_id=4af43bfbe4e24fdae0ec33312ee7491e response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=46 request_id=4af43bfbe4e24fdae0ec33312ee7491e response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=46 request_id=4af43bfbe4e24fdae0ec33312ee7491e response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=37 request_id=e30413546fe5f96d3890606767f2ec53 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=37 request_id=e30413546fe5f96d3890606767f2ec53 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=37 request_id=e30413546fe5f96d3890606767f2ec53 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=33 request_id=01f0a8dada4dae80c97a9a412f03b84f response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=33 request_id=01f0a8dada4dae80c97a9a412f03b84f response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/embeddings processing_ms=33 request_id=01f0a8dada4dae80c97a9a412f03b84f response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=282 request_id=ed7b1f8ba68ae32b1d8e24e0d0764e86 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=282 request_id=ed7b1f8ba68ae32b1d8e24e0d0764e86 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=282 request_id=ed7b1f8ba68ae32b1d8e24e0d0764e86 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=820 request_id=b4532c6d665b6cfd644861ed69819cb9 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=820 request_id=b4532c6d665b6cfd644861ed69819cb9 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=820 request_id=b4532c6d665b6cfd644861ed69819cb9 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=847 request_id=4d9bbc71a95b7e0bb69a048e251772c8 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=847 request_id=4d9bbc71a95b7e0bb69a048e251772c8 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=847 request_id=4d9bbc71a95b7e0bb69a048e251772c8 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=952 request_id=d1657940d881929d500b1fddc46b5866 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=952 request_id=d1657940d881929d500b1fddc46b5866 response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=952 request_id=d1657940d881929d500b1fddc46b5866 response_code=200\n",
- "INFO:openai:message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=1482 request_id=c4456f75580d227f846d3a044e5eef1b response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=1482 request_id=c4456f75580d227f846d3a044e5eef1b response_code=200\n",
- "message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=1482 request_id=c4456f75580d227f846d3a044e5eef1b response_code=200\n",
"finished query\n",
"score: 5/5\n"
]
diff --git a/docs/examples/evaluation/relevancy_eval.ipynb b/docs/examples/evaluation/relevancy_eval.ipynb
index e5a2cab561..970651a1ec 100644
--- a/docs/examples/evaluation/relevancy_eval.ipynb
+++ b/docs/examples/evaluation/relevancy_eval.ipynb
@@ -18,7 +18,7 @@
"metadata": {},
"outputs": [],
"source": [
- "%pip install llama-index-llms-openai"
+ "%pip install llama-index-llms-openai pandas[jinja2] spacy"
]
},
{
@@ -96,7 +96,32 @@
"execution_count": null,
"id": "41f0e53f-77a6-40d5-94ae-3f81b01af75c",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n"
+ ]
+ }
+ ],
"source": [
"# create vector index\n",
"splitter = SentenceSplitter(chunk_size=512)\n",
@@ -112,14 +137,20 @@
"metadata": {},
"outputs": [],
"source": [
+ "from llama_index.core.evaluation import EvaluationResult\n",
+ "\n",
+ "\n",
"# define jupyter display function\n",
- "def display_eval_df(query: str, response: Response, eval_result: str) -> None:\n",
+ "def display_eval_df(\n",
+ " query: str, response: Response, eval_result: EvaluationResult\n",
+ ") -> None:\n",
" eval_df = pd.DataFrame(\n",
" {\n",
" \"Query\": query,\n",
" \"Response\": str(response),\n",
" \"Source\": response.source_nodes[0].node.text[:1000] + \"...\",\n",
" \"Evaluation Result\": \"Pass\" if eval_result.passing else \"Fail\",\n",
+ " \"Reasoning\": eval_result.feedback,\n",
" },\n",
" index=[0],\n",
" )\n",
@@ -148,7 +179,20 @@
"execution_count": null,
"id": "180a5d2e-9286-477b-9cd0-a5976d18d845",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n"
+ ]
+ }
+ ],
"source": [
"query_str = (\n",
" \"What battles took place in New York City in the American Revolution?\"\n",
@@ -170,37 +214,39 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_b2b8f_row0_col1, #T_b2b8f_row0_col2 {\n",
+ "#T_84181_row0_col1, #T_84181_row0_col2 {\n",
" inline-size: 600px;\n",
" overflow-wrap: break-word;\n",
"}\n",
"</style>\n",
- "<table id=\"T_b2b8f\">\n",
+ "<table id=\"T_84181\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_b2b8f_level0_col0\" class=\"col_heading level0 col0\" >Query</th>\n",
- " <th id=\"T_b2b8f_level0_col1\" class=\"col_heading level0 col1\" >Response</th>\n",
- " <th id=\"T_b2b8f_level0_col2\" class=\"col_heading level0 col2\" >Source</th>\n",
- " <th id=\"T_b2b8f_level0_col3\" class=\"col_heading level0 col3\" >Evaluation Result</th>\n",
+ " <th id=\"T_84181_level0_col0\" class=\"col_heading level0 col0\" >Query</th>\n",
+ " <th id=\"T_84181_level0_col1\" class=\"col_heading level0 col1\" >Response</th>\n",
+ " <th id=\"T_84181_level0_col2\" class=\"col_heading level0 col2\" >Source</th>\n",
+ " <th id=\"T_84181_level0_col3\" class=\"col_heading level0 col3\" >Evaluation Result</th>\n",
+ " <th id=\"T_84181_level0_col4\" class=\"col_heading level0 col4\" >Reasoning</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_b2b8f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_b2b8f_row0_col0\" class=\"data row0 col0\" >What battles took place in New York City in the American Revolution?</td>\n",
- " <td id=\"T_b2b8f_row0_col1\" class=\"data row0 col1\" >The Battle of Long Island was the largest battle of the American Revolutionary War that took place in New York City.</td>\n",
- " <td id=\"T_b2b8f_row0_col2\" class=\"data row0 col2\" >=== American Revolution ===\n",
+ " <th id=\"T_84181_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_84181_row0_col0\" class=\"data row0 col0\" >What battles took place in New York City in the American Revolution?</td>\n",
+ " <td id=\"T_84181_row0_col1\" class=\"data row0 col1\" >The Battle of Long Island was the largest battle of the American Revolutionary War that took place in New York City.</td>\n",
+ " <td id=\"T_84181_row0_col2\" class=\"data row0 col2\" >=== American Revolution ===\n",
"\n",
"The Stamp Act Congress met in New York in October 1765, as the Sons of Liberty organization emerged in the city and skirmished over the next ten years with British troops stationed there. The Battle of Long Island, the largest battle of the American Revolutionary War, was fought in August 1776 within the modern-day borough of Brooklyn. After the battle, in which the Americans were defeated, the British made the city their military and political base of operations in North America. The city was a haven for Loyalist refugees and escaped slaves who joined the British lines for freedom newly promised by the Crown for all fighters. As many as 10,000 escaped slaves crowded into the city during the British occupation. When the British forces evacuated at the close of the war in 1783, they transported 3,000 freedmen for resettlement in Nova Scotia. They resettled other freedmen in England and the Caribbean.\n",
"The only attempt at a peaceful solution to the war took pl...</td>\n",
- " <td id=\"T_b2b8f_row0_col3\" class=\"data row0 col3\" >Pass</td>\n",
+ " <td id=\"T_84181_row0_col3\" class=\"data row0 col3\" >Pass</td>\n",
+ " <td id=\"T_84181_row0_col4\" class=\"data row0 col4\" >The context confirms that the Battle of Long Island, which was the largest battle of the American Revolutionary War, took place in New York City.</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f9f219aa970>"
+ "<pandas.io.formats.style.Styler at 0x141697dd0>"
]
},
"metadata": {},
@@ -216,7 +262,20 @@
"execution_count": null,
"id": "97f3ddf1-8dc2-4fb8-831f-2c06649e0955",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n"
+ ]
+ }
+ ],
"source": [
"query_str = \"What are the airports in New York City?\"\n",
"query_engine = vector_index.as_query_engine()\n",
@@ -236,44 +295,42 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_cc94d_row0_col1, #T_cc94d_row0_col2 {\n",
+ "#T_55f60_row0_col1, #T_55f60_row0_col2 {\n",
" inline-size: 600px;\n",
" overflow-wrap: break-word;\n",
"}\n",
"</style>\n",
- "<table id=\"T_cc94d\">\n",
+ "<table id=\"T_55f60\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_cc94d_level0_col0\" class=\"col_heading level0 col0\" >Query</th>\n",
- " <th id=\"T_cc94d_level0_col1\" class=\"col_heading level0 col1\" >Response</th>\n",
- " <th id=\"T_cc94d_level0_col2\" class=\"col_heading level0 col2\" >Source</th>\n",
- " <th id=\"T_cc94d_level0_col3\" class=\"col_heading level0 col3\" >Evaluation Result</th>\n",
+ " <th id=\"T_55f60_level0_col0\" class=\"col_heading level0 col0\" >Query</th>\n",
+ " <th id=\"T_55f60_level0_col1\" class=\"col_heading level0 col1\" >Response</th>\n",
+ " <th id=\"T_55f60_level0_col2\" class=\"col_heading level0 col2\" >Source</th>\n",
+ " <th id=\"T_55f60_level0_col3\" class=\"col_heading level0 col3\" >Evaluation Result</th>\n",
+ " <th id=\"T_55f60_level0_col4\" class=\"col_heading level0 col4\" >Reasoning</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_cc94d_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_cc94d_row0_col0\" class=\"data row0 col0\" >What are the airports in New York City?</td>\n",
- " <td id=\"T_cc94d_row0_col1\" class=\"data row0 col1\" >The airports in New York City include John F. Kennedy International Airport, Newark Liberty International Airport, LaGuardia Airport, Stewart International Airport, Long Island MacArthur Airport, Trenton-Mercer Airport, and Westchester County Airport.</td>\n",
- " <td id=\"T_cc94d_row0_col2\" class=\"data row0 col2\" >Like the New York City Subway, the PATH operates 24 hours a day; meaning three of the six rapid transit systems in the world which operate on 24-hour schedules are wholly or partly in New York (the others are a portion of the Chicago \"L\", the PATCO Speedline serving Philadelphia, and the Copenhagen Metro).Multibillion-dollar heavy rail transit projects under construction in New York City include the Second Avenue Subway, and the East Side Access project.\n",
+ " <th id=\"T_55f60_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_55f60_row0_col0\" class=\"data row0 col0\" >What are the airports in New York City?</td>\n",
+ " <td id=\"T_55f60_row0_col1\" class=\"data row0 col1\" >The airports in New York City include John F. Kennedy International Airport, Newark Liberty International Airport, LaGuardia Airport, Stewart International Airport, Long Island MacArthur Airport, Trenton-Mercer Airport, and Westchester County Airport.</td>\n",
+ " <td id=\"T_55f60_row0_col2\" class=\"data row0 col2\" >along the Northeast Corridor, and long-distance train service to other North American cities.The Staten Island Railway rapid transit system solely serves Staten Island, operating 24 hours a day. The Port Authority Trans-Hudson (PATH train) links Midtown and Lower Manhattan to northeastern New Jersey, primarily Hoboken, Jersey City, and Newark. Like the New York City Subway, the PATH operates 24 hours a day; meaning three of the six rapid transit systems in the world which operate on 24-hour schedules are wholly or partly in New York (the others are a portion of the Chicago \"L\", the PATCO Speedline serving Philadelphia, and the Copenhagen Metro).\n",
+ "Multibillion-dollar heavy rail transit projects under construction in New York City include the Second Avenue Subway, and the East Side Access project.\n",
"\n",
"\n",
"==== Buses ====\n",
"\n",
- "New York City's public bus fleet runs 24/7 and is the largest in North America. The Port Authority Bus Terminal, the main intercity bus terminal of the city, serves 7,000 buses and 200,000 commuters daily, making it the busiest bus station in the world.\n",
- "\n",
- "\n",
- "=== Air ===\n",
- "\n",
- "New York's airspace is the busiest in the United States and one of the world's busiest air transportation corridors. The three busiest airports in the New York metropolitan area include John F. Kennedy International Airport, Newark Liberty International...</td>\n",
- " <td id=\"T_cc94d_row0_col3\" class=\"data row0 col3\" >Pass</td>\n",
+ "New York City's public bus fleet runs 24/7 and is the largest in North America. The Port Authority Bus Terminal, the main intercity bus terminal of the city, serves 7,000 buse...</td>\n",
+ " <td id=\"T_55f60_row0_col3\" class=\"data row0 col3\" >Pass</td>\n",
+ " <td id=\"T_55f60_row0_col4\" class=\"data row0 col4\" >The context provides information about the airports in New York City, which includes John F. Kennedy International Airport, Newark Liberty International Airport, LaGuardia Airport, Stewart International Airport, Long Island MacArthur Airport, Trenton-Mercer Airport, and Westchester County Airport. This matches the response to the query.</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f9f00c28c70>"
+ "<pandas.io.formats.style.Styler at 0x140ac2e10>"
]
},
"metadata": {},
@@ -289,7 +346,20 @@
"execution_count": null,
"id": "8b860691-9f6a-4b2f-bfef-5a5a56693a18",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n"
+ ]
+ }
+ ],
"source": [
"query_str = \"Who is the mayor of New York City?\"\n",
"query_engine = vector_index.as_query_engine()\n",
@@ -309,36 +379,38 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_a24ec_row0_col1, #T_a24ec_row0_col2 {\n",
+ "#T_1c9c8_row0_col1, #T_1c9c8_row0_col2 {\n",
" inline-size: 600px;\n",
" overflow-wrap: break-word;\n",
"}\n",
"</style>\n",
- "<table id=\"T_a24ec\">\n",
+ "<table id=\"T_1c9c8\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_a24ec_level0_col0\" class=\"col_heading level0 col0\" >Query</th>\n",
- " <th id=\"T_a24ec_level0_col1\" class=\"col_heading level0 col1\" >Response</th>\n",
- " <th id=\"T_a24ec_level0_col2\" class=\"col_heading level0 col2\" >Source</th>\n",
- " <th id=\"T_a24ec_level0_col3\" class=\"col_heading level0 col3\" >Evaluation Result</th>\n",
+ " <th id=\"T_1c9c8_level0_col0\" class=\"col_heading level0 col0\" >Query</th>\n",
+ " <th id=\"T_1c9c8_level0_col1\" class=\"col_heading level0 col1\" >Response</th>\n",
+ " <th id=\"T_1c9c8_level0_col2\" class=\"col_heading level0 col2\" >Source</th>\n",
+ " <th id=\"T_1c9c8_level0_col3\" class=\"col_heading level0 col3\" >Evaluation Result</th>\n",
+ " <th id=\"T_1c9c8_level0_col4\" class=\"col_heading level0 col4\" >Reasoning</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_a24ec_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_a24ec_row0_col0\" class=\"data row0 col0\" >Who is the mayor of New York City?</td>\n",
- " <td id=\"T_a24ec_row0_col1\" class=\"data row0 col1\" >The mayor of New York City is Eric Adams.</td>\n",
- " <td id=\"T_a24ec_row0_col2\" class=\"data row0 col2\" >=== Politics ===\n",
+ " <th id=\"T_1c9c8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_1c9c8_row0_col0\" class=\"data row0 col0\" >Who is the mayor of New York City?</td>\n",
+ " <td id=\"T_1c9c8_row0_col1\" class=\"data row0 col1\" >The mayor of New York City is Eric Adams.</td>\n",
+ " <td id=\"T_1c9c8_row0_col2\" class=\"data row0 col2\" >=== Politics ===\n",
"The present mayor is Eric Adams. He was elected in 2021 with 67% of the vote, and assumed office on January 1, 2022.\n",
"The Democratic Party holds the majority of public offices. As of April 2016, 69% of registered voters in the city are Democrats and 10% are Republicans. New York City has not been carried by a Republican presidential election since President Calvin Coolidge won the five boroughs in 1924. A Republican candidate for statewide office has not won all five boroughs of the city since it was incorporated in 1898. In 2012, Democrat Barack Obama became the first presidential candidate of any party to receive more than 80% of the overall vote in New York City, sweeping all five boroughs. Party platforms center on affordable housing, education, and economic development, and labor politics are of importance in the city. Thirteen out of 27 U.S. congressional districts in the state of New York include portions of New York City.New York is one of the most important so...</td>\n",
- " <td id=\"T_a24ec_row0_col3\" class=\"data row0 col3\" >Pass</td>\n",
+ " <td id=\"T_1c9c8_row0_col3\" class=\"data row0 col3\" >Pass</td>\n",
+ " <td id=\"T_1c9c8_row0_col4\" class=\"data row0 col4\" >The context confirms that Eric Adams is the current mayor of New York City, as stated in the response.</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f9f00c40790>"
+ "<pandas.io.formats.style.Styler at 0x1416ecc10>"
]
},
"metadata": {},
@@ -397,7 +469,22 @@
"execution_count": null,
"id": "0e3674ed-2632-4f48-9102-895fea94e340",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n"
+ ]
+ }
+ ],
"source": [
"# NOTE: you can set response_mode=\"no_text\" to get just the sources\n",
"query_str = \"What are the airports in New York City?\"\n",
@@ -428,23 +515,24 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_ef40f_row0_col0, #T_ef40f_row1_col0, #T_ef40f_row2_col0 {\n",
+ "#T_f4156_row0_col0, #T_f4156_row1_col0, #T_f4156_row2_col0 {\n",
" inline-size: 600px;\n",
" overflow-wrap: break-word;\n",
"}\n",
"</style>\n",
- "<table id=\"T_ef40f\">\n",
+ "<table id=\"T_f4156\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_ef40f_level0_col0\" class=\"col_heading level0 col0\" >Source</th>\n",
- " <th id=\"T_ef40f_level0_col1\" class=\"col_heading level0 col1\" >Eval Result</th>\n",
+ " <th id=\"T_f4156_level0_col0\" class=\"col_heading level0 col0\" >Source</th>\n",
+ " <th id=\"T_f4156_level0_col1\" class=\"col_heading level0 col1\" >Eval Result</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_ef40f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_ef40f_row0_col0\" class=\"data row0 col0\" >Like the New York City Subway, the PATH operates 24 hours a day; meaning three of the six rapid transit systems in the world which operate on 24-hour schedules are wholly or partly in New York (the others are a portion of the Chicago \"L\", the PATCO Speedline serving Philadelphia, and the Copenhagen Metro).Multibillion-dollar heavy rail transit projects under construction in New York City include the Second Avenue Subway, and the East Side Access project.\n",
+ " <th id=\"T_f4156_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_f4156_row0_col0\" class=\"data row0 col0\" >along the Northeast Corridor, and long-distance train service to other North American cities.The Staten Island Railway rapid transit system solely serves Staten Island, operating 24 hours a day. The Port Authority Trans-Hudson (PATH train) links Midtown and Lower Manhattan to northeastern New Jersey, primarily Hoboken, Jersey City, and Newark. Like the New York City Subway, the PATH operates 24 hours a day; meaning three of the six rapid transit systems in the world which operate on 24-hour schedules are wholly or partly in New York (the others are a portion of the Chicago \"L\", the PATCO Speedline serving Philadelphia, and the Copenhagen Metro).\n",
+ "Multibillion-dollar heavy rail transit projects under construction in New York City include the Second Avenue Subway, and the East Side Access project.\n",
"\n",
"\n",
"==== Buses ====\n",
@@ -455,11 +543,14 @@
"=== Air ===\n",
"\n",
"New York's airspace is the busiest in the United States and one of the world's busiest air transportation corridors. The three busiest airports in the New York metropolitan area include John F. Kennedy International Airport, Newark Liberty International Airport, and LaGuardia Airport; 130.5 million travelers used these three airports in 2016. JFK and Newark Liberty were the busiest and fourth busiest U.S. gateways for international air passengers, respectively, in 2012; as of 2011, JFK was the busiest airport for international passengers in North America.Plans have advanced to expand passenger volume at a fourth airport, Stewart International Airport near Newburgh, New York, by the Port Authority of New York and New Jersey. Plans were announced in July 2015 to entirely rebuild LaGuardia Airport in a multibillion-dollar project to replace its aging facilities. Other commercial airports in or serving the New York metropolitan area include Long Island MacArthur Airport, Trenton–Mercer Airport and Westchester County Airport. The primary general aviation airport serving the area is Teterboro Airport.</td>\n",
- " <td id=\"T_ef40f_row0_col1\" class=\"data row0 col1\" >Pass</td>\n",
+ " <td id=\"T_f4156_row0_col1\" class=\"data row0 col1\" >Pass</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_ef40f_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
- " <td id=\"T_ef40f_row1_col0\" class=\"data row1 col0\" >=== Parks ===\n",
+ " <th id=\"T_f4156_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+ " <td id=\"T_f4156_row1_col0\" class=\"data row1 col0\" >See or edit raw graph data.\n",
+ "\n",
+ "\n",
+ "=== Parks ===\n",
"\n",
"The city of New York has a complex park system, with various lands operated by the National Park Service, the New York State Office of Parks, Recreation and Historic Preservation, and the New York City Department of Parks and Recreation. In its 2018 ParkScore ranking, the Trust for Public Land reported that the park system in New York City was the ninth-best park system among the fifty most populous U.S. cities. ParkScore ranks urban park systems by a formula that analyzes median park size, park acres as percent of city area, the percent of city residents within a half-mile of a park, spending of park services per resident, and the number of playgrounds per 10,000 residents. In 2021, the New York City Council banned the use of synthetic pesticides by city agencies and instead required organic lawn management. The effort was started by teacher Paula Rogovin's kindergarten class at P.S. 290.\n",
"\n",
@@ -468,30 +559,19 @@
"\n",
"Gateway National Recreation Area contains over 26,000 acres (110 km2), most of it in New York City. In Brooklyn and Queens, the park contains over 9,000 acres (36 km2) of salt marsh, wetlands, islands, and water, including most of Jamaica Bay and the Jamaica Bay Wildlife Refuge. Also in Queens, the park includes a significant portion of the western Rockaway Peninsula, most notably Jacob Riis Park and Fort Tilden. In Staten Island, it includes Fort Wadsworth, with historic pre-Civil War era Battery Weed and Fort Tompkins, and Great Kills Park, with beaches, trails, and a marina.\n",
"The Statue of Liberty National Monument and Ellis Island Immigration Museum are managed by the National Park Service and are in both New York and New Jersey. They are joined in the harbor by Governors Island National Monument. Historic sites under federal management on Manhattan Island include Stonewall National Monument; Castle Clinton National Monument; Federal Hall National Memorial; Theodore Roosevelt Birthplace National Historic Site; General Grant National Memorial (Grant's Tomb); African Burial Ground National Monument; and Hamilton Grange National Memorial. Hundreds of properties are listed on the National Register of Historic Places or as a National Historic Landmark.</td>\n",
- " <td id=\"T_ef40f_row1_col1\" class=\"data row1 col1\" >Fail</td>\n",
+ " <td id=\"T_f4156_row1_col1\" class=\"data row1 col1\" >Fail</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_ef40f_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
- " <td id=\"T_ef40f_row2_col0\" class=\"data row2 col0\" >Providing continuous 24/7 service and contributing to the nickname The City That Never Sleeps, the New York City Subway is the largest single-operator rapid transit system in the world with 472 passenger rail stations, and Penn Station in Midtown Manhattan is the busiest transportation hub in the Western Hemisphere.The city has over 120 colleges and universities, including Columbia University, an Ivy League university routinely ranked among the world's top universities, New York University, and the City University of New York system, the largest urban public university system in the nation.Anchored by Wall Street in the Financial District of Lower Manhattan, New York City has been called both the world's leading financial and fintech center and the most economically powerful city in the world, and is home to the world's two largest stock exchanges by total market capitalization, the New York Stock Exchange and Nasdaq.The Stonewall Inn in Greenwich Village, part of the Stonewall National Monument, is considered the historic epicenter of LGBTQ+ culture and the birthplace of the modern gay rights movement.New York City is the headquarters of the global art market, with numerous art galleries and auction houses collectively hosting half of the world’s art auctions, and the Metropolitan Museum of Art is both the largest art museum and the most visited museum in the United States.Governors Island in New York Harbor is planned to host a US$1 billion research and education center as a leader the climate crisis.\n",
- "\n",
- "\n",
- "== Etymology ==\n",
- "\n",
- "In 1664, New York was named in honor of the Duke of York, who would become King James II of England. James's elder brother, King Charles II, appointed the Duke as proprietor of the former territory of New Netherland, including the city of New Amsterdam, when England seized it from Dutch control.\n",
- "\n",
- "\n",
- "== History ==\n",
- "\n",
- "\n",
- "=== Early history ===\n",
- "In the pre-Columbian era, the area of present-day New York City was inhabited by Algonquian Native Americans, including the Lenape.Their homeland, known as Lenapehoking, included the present-day areas of Staten Island, Manhattan, the Bronx, the western portion of Long Island (including the areas that would later become the boroughs of Brooklyn and Queens), and the Lower Hudson Valley.The first documented visit into New York Harbor by a European was in 1524 by Italian Giovanni da Verrazzano, an explorer from Florence in the service of the French crown.</td>\n",
- " <td id=\"T_ef40f_row2_col1\" class=\"data row2 col1\" >Fail</td>\n",
+ " <th id=\"T_f4156_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+ " <td id=\"T_f4156_row2_col0\" class=\"data row2 col0\" >New York has witnessed a growing combined volume of international and domestic tourists, reflecting over 60 million visitors to the city per year, the world's busiest tourist destination. Approximately 12 million visitors to New York City have been from outside the United States, with the highest numbers from the United Kingdom, Canada, Brazil, and China. Multiple sources have called New York the most photographed city in the world.I Love New York (stylized I ⤠NY) is both a logo and a song that are the basis of an advertising campaign and have been used since 1977 to promote tourism in New York City, and later to promote New York State as well. The trademarked logo, owned by New York State Empire State Development, appears in souvenir shops and brochures throughout the city and state, some licensed, many not. The song is the state song of New York.\n",
+ "The majority of the most high-profile tourist destinations to the city are situated in Manhattan. These include Times Square; Broadway theater productions; the Empire State Building; the Statue of Liberty; Ellis Island; the United Nations headquarters; the World Trade Center (including the National September 11 Memorial & Museum and One World Trade Center); the art museums along Museum Mile; green spaces such as Central Park, Washington Square Park, the High Line, and the medieval gardens of The Cloisters; the Stonewall Inn; Rockefeller Center; ethnic enclaves including the Manhattan Chinatown, Koreatown, Curry Hill, Harlem, Spanish Harlem, Little Italy, and Little Australia; luxury shopping along Fifth and Madison Avenues; and events such as the Halloween Parade in Greenwich Village; the Brooklyn Bridge (shared with Brooklyn); the Macy's Thanksgiving Day Parade; the lighting of the Rockefeller Center Christmas Tree; the St. Patrick's Day Parade; seasonal activities such as ice skating in Central Park in the wintertime; the Tribeca Film Festival; and free performances in Central Park at SummerStage.Points of interest have also developed in the city outside Manhattan and have made the outer boroughs tourist destinations in their own right.</td>\n",
+ " <td id=\"T_f4156_row2_col1\" class=\"data row2 col1\" >Fail</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f9f17afce20>"
+ "<pandas.io.formats.style.Styler at 0x1416b0e90>"
]
},
"metadata": {},
@@ -507,7 +587,20 @@
"execution_count": null,
"id": "cdc340a9-1853-414e-9e87-820aa5d82db7",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n",
+ "HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n"
+ ]
+ }
+ ],
"source": [
"# NOTE: you can set response_mode=\"no_text\" to get just the sources\n",
"query_str = \"Who is the mayor of New York City?\"\n",
@@ -537,76 +630,63 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_79b25_row0_col0, #T_79b25_row1_col0, #T_79b25_row2_col0 {\n",
+ "#T_3fd29_row0_col0, #T_3fd29_row1_col0, #T_3fd29_row2_col0 {\n",
" inline-size: 600px;\n",
" overflow-wrap: break-word;\n",
"}\n",
"</style>\n",
- "<table id=\"T_79b25\">\n",
+ "<table id=\"T_3fd29\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_79b25_level0_col0\" class=\"col_heading level0 col0\" >Source</th>\n",
- " <th id=\"T_79b25_level0_col1\" class=\"col_heading level0 col1\" >Eval Result</th>\n",
+ " <th id=\"T_3fd29_level0_col0\" class=\"col_heading level0 col0\" >Source</th>\n",
+ " <th id=\"T_3fd29_level0_col1\" class=\"col_heading level0 col1\" >Eval Result</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_79b25_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_79b25_row0_col0\" class=\"data row0 col0\" >by geographic population boundaries. Each term for the mayor and council members lasts four years and has a two consecutive-term limit, which is reset after a four-year break. The New York City Administrative Code, the New York City Rules, and the City Record are the code of local laws, compilation of regulations, and official journal, respectively.Each borough is coextensive with a judicial district of the state Unified Court System, of which the Criminal Court and the Civil Court are the local courts, while the New York Supreme Court conducts major trials and appeals. Manhattan hosts the First Department of the Supreme Court, Appellate Division while Brooklyn hosts the Second Department. There are also several extrajudicial administrative courts, which are executive agencies and not part of the state Unified Court System.\n",
- "Uniquely among major American cities, New York is divided between, and is host to the main branches of, two different U.S. district courts: the District Court for the Southern District of New York, whose main courthouse is on Foley Square near City Hall in Manhattan and whose jurisdiction includes Manhattan and the Bronx; and the District Court for the Eastern District of New York, whose main courthouse is in Brooklyn and whose jurisdiction includes Brooklyn, Queens, and Staten Island. The U.S. Court of Appeals for the Second Circuit and U.S. Court of International Trade are also based in New York, also on Foley Square in Manhattan.\n",
+ " <th id=\"T_3fd29_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_3fd29_row0_col0\" class=\"data row0 col0\" >along the Northeast Corridor, and long-distance train service to other North American cities.The Staten Island Railway rapid transit system solely serves Staten Island, operating 24 hours a day. The Port Authority Trans-Hudson (PATH train) links Midtown and Lower Manhattan to northeastern New Jersey, primarily Hoboken, Jersey City, and Newark. Like the New York City Subway, the PATH operates 24 hours a day; meaning three of the six rapid transit systems in the world which operate on 24-hour schedules are wholly or partly in New York (the others are a portion of the Chicago \"L\", the PATCO Speedline serving Philadelphia, and the Copenhagen Metro).\n",
+ "Multibillion-dollar heavy rail transit projects under construction in New York City include the Second Avenue Subway, and the East Side Access project.\n",
"\n",
"\n",
- "=== Politics ===\n",
- "The present mayor is Eric Adams. He was elected in 2021 with 67% of the vote, and assumed office on January 1, 2022.\n",
- "The Democratic Party holds the majority of public offices. As of April 2016, 69% of registered voters in the city are Democrats and 10% are Republicans. New York City has not been carried by a Republican presidential election since President Calvin Coolidge won the five boroughs in 1924. A Republican candidate for statewide office has not won all five boroughs of the city since it was incorporated in 1898. In 2012, Democrat Barack Obama became the first presidential candidate of any party to receive more than 80% of the overall vote in New York City, sweeping all</td>\n",
- " <td id=\"T_79b25_row0_col1\" class=\"data row0 col1\" >NO</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_79b25_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
- " <td id=\"T_79b25_row1_col0\" class=\"data row1 col0\" >for the Second Circuit and U.S. Court of International Trade are also based in New York, also on Foley Square in Manhattan.\n",
+ "==== Buses ====\n",
"\n",
+ "New York City's public bus fleet runs 24/7 and is the largest in North America. The Port Authority Bus Terminal, the main intercity bus terminal of the city, serves 7,000 buses and 200,000 commuters daily, making it the busiest bus station in the world.\n",
"\n",
- "=== Politics ===\n",
- "The present mayor is Eric Adams. He was elected in 2021 with 67% of the vote, and assumed office on January 1, 2022.\n",
- "The Democratic Party holds the majority of public offices. As of April 2016, 69% of registered voters in the city are Democrats and 10% are Republicans. New York City has not been carried by a Republican presidential election since President Calvin Coolidge won the five boroughs in 1924. A Republican candidate for statewide office has not won all five boroughs of the city since it was incorporated in 1898. In 2012, Democrat Barack Obama became the first presidential candidate of any party to receive more than 80% of the overall vote in New York City, sweeping all five boroughs. Party platforms center on affordable housing, education, and economic development, and labor politics are of importance in the city. Thirteen out of 27 U.S. congressional districts in the state of New York include portions of New York City.New York is one of the most important sources of political fundraising in the United States. At least four of the top five ZIP Codes in the nation for political contributions were in Manhattan for the 2004, 2006, and 2008 elections. The top ZIP Code, 10021 on the Upper East Side, generated the most money for the 2004 presidential campaigns of George W. Bush and John Kerry. The city has a strong imbalance of payments with the national and state governments. It receives 83 cents in services for every $1 it sends to the federal government in taxes (or annually sends $11.4 billion more than it receives back). City residents and businesses also sent an additional $4.1 billion in the 2009–2010 fiscal year to the state of New York than the city received in return.\n",
"\n",
+ "=== Air ===\n",
"\n",
- "== Transportation ==\n",
+ "New York's airspace is the busiest in the United States and one of the world's busiest air transportation corridors. The three busiest airports in the New York metropolitan area include John F. Kennedy International Airport, Newark Liberty International Airport, and LaGuardia Airport; 130.5 million travelers used these three airports in 2016. JFK and Newark Liberty were the busiest and fourth busiest U.S. gateways for international air passengers, respectively, in 2012; as of 2011, JFK was the busiest airport for international passengers in North America.Plans have advanced to expand passenger volume at a fourth airport, Stewart International Airport near Newburgh, New York, by the Port Authority of New York and New Jersey. Plans were announced in July 2015 to entirely rebuild LaGuardia Airport in a multibillion-dollar project to replace its aging facilities. Other commercial airports in or serving the New York metropolitan area include Long Island MacArthur Airport, Trenton–Mercer Airport and Westchester County Airport. The primary general aviation airport serving the area is Teterboro Airport.</td>\n",
+ " <td id=\"T_3fd29_row0_col1\" class=\"data row0 col1\" >Fail</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3fd29_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+ " <td id=\"T_3fd29_row1_col0\" class=\"data row1 col0\" >See or edit raw graph data.\n",
"\n",
- "New York City's comprehensive transportation system is both complex and extensive.\n",
"\n",
+ "=== Parks ===\n",
"\n",
- "=== Rapid transit ===\n",
- "Mass transit in New York City, most of which runs 24 hours a day, accounts for one in every three users of mass transit in</td>\n",
- " <td id=\"T_79b25_row1_col1\" class=\"data row1 col1\" >YES</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_79b25_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
- " <td id=\"T_79b25_row2_col0\" class=\"data row2 col0\" >ed.). New York: The New Press. ISBN 978-1-56584-321-9.\n",
- "Holli, Melvin G., and Jones, Peter d'A., eds. Biographical Dictionary of American Mayors, 1820-1980 (Greenwood Press, 1981) short scholarly biographies each of the city's mayors 1820 to 1980. online; see index at p. 410 for list.Jackson, Kenneth T., ed. (1995). The Encyclopedia of New York City. New Haven: Yale University Press. ISBN 0300055366.\n",
- "Jackson, Kenneth T.; Dunbar, David S., eds. (2005). Empire City: New York Through the Centuries. Columbia University Press. ISBN 978-0-231-10909-3.\n",
- "Lankevich, George L. (1998). American Metropolis: A History of New York City. NYU Press. ISBN 978-0-8147-5186-2.\n",
- "White, E.B. (1949). Here is New York (2000 reissue ed.). Little Bookroom.\n",
- "White, Norval & Willensky, Elliot (2000). AIA Guide to New York City (4th ed.). New York: Three Rivers Press. ISBN 978-0-8129-3107-5.\n",
- "Whitehead, Colson (2003). The Colossus of New York: A City in 13 Parts. New York: Doubleday. ISBN 978-0-385-50794-3.\n",
+ "The city of New York has a complex park system, with various lands operated by the National Park Service, the New York State Office of Parks, Recreation and Historic Preservation, and the New York City Department of Parks and Recreation. In its 2018 ParkScore ranking, the Trust for Public Land reported that the park system in New York City was the ninth-best park system among the fifty most populous U.S. cities. ParkScore ranks urban park systems by a formula that analyzes median park size, park acres as percent of city area, the percent of city residents within a half-mile of a park, spending of park services per resident, and the number of playgrounds per 10,000 residents. In 2021, the New York City Council banned the use of synthetic pesticides by city agencies and instead required organic lawn management. The effort was started by teacher Paula Rogovin's kindergarten class at P.S. 290.\n",
"\n",
"\n",
- "== External links ==\n",
+ "==== National parks ====\n",
"\n",
- "Official website \n",
- "NYC Go, official tourism website\n",
- "New York City at Curlie\n",
- " Geographic data related to New York City at OpenStreetMap\n",
- "Collections, 145,000 NYC photographs at the Museum of the City of New York\n",
- "\"The New New York Skyline (interactive)\". National Geographic. November 2015.</td>\n",
- " <td id=\"T_79b25_row2_col1\" class=\"data row2 col1\" >NO</td>\n",
+ "Gateway National Recreation Area contains over 26,000 acres (110 km2), most of it in New York City. In Brooklyn and Queens, the park contains over 9,000 acres (36 km2) of salt marsh, wetlands, islands, and water, including most of Jamaica Bay and the Jamaica Bay Wildlife Refuge. Also in Queens, the park includes a significant portion of the western Rockaway Peninsula, most notably Jacob Riis Park and Fort Tilden. In Staten Island, it includes Fort Wadsworth, with historic pre-Civil War era Battery Weed and Fort Tompkins, and Great Kills Park, with beaches, trails, and a marina.\n",
+ "The Statue of Liberty National Monument and Ellis Island Immigration Museum are managed by the National Park Service and are in both New York and New Jersey. They are joined in the harbor by Governors Island National Monument. Historic sites under federal management on Manhattan Island include Stonewall National Monument; Castle Clinton National Monument; Federal Hall National Memorial; Theodore Roosevelt Birthplace National Historic Site; General Grant National Memorial (Grant's Tomb); African Burial Ground National Monument; and Hamilton Grange National Memorial. Hundreds of properties are listed on the National Register of Historic Places or as a National Historic Landmark.</td>\n",
+ " <td id=\"T_3fd29_row1_col1\" class=\"data row1 col1\" >Fail</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3fd29_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+ " <td id=\"T_3fd29_row2_col0\" class=\"data row2 col0\" >New York has witnessed a growing combined volume of international and domestic tourists, reflecting over 60 million visitors to the city per year, the world's busiest tourist destination. Approximately 12 million visitors to New York City have been from outside the United States, with the highest numbers from the United Kingdom, Canada, Brazil, and China. Multiple sources have called New York the most photographed city in the world.I Love New York (stylized I ⤠NY) is both a logo and a song that are the basis of an advertising campaign and have been used since 1977 to promote tourism in New York City, and later to promote New York State as well. The trademarked logo, owned by New York State Empire State Development, appears in souvenir shops and brochures throughout the city and state, some licensed, many not. The song is the state song of New York.\n",
+ "The majority of the most high-profile tourist destinations to the city are situated in Manhattan. These include Times Square; Broadway theater productions; the Empire State Building; the Statue of Liberty; Ellis Island; the United Nations headquarters; the World Trade Center (including the National September 11 Memorial & Museum and One World Trade Center); the art museums along Museum Mile; green spaces such as Central Park, Washington Square Park, the High Line, and the medieval gardens of The Cloisters; the Stonewall Inn; Rockefeller Center; ethnic enclaves including the Manhattan Chinatown, Koreatown, Curry Hill, Harlem, Spanish Harlem, Little Italy, and Little Australia; luxury shopping along Fifth and Madison Avenues; and events such as the Halloween Parade in Greenwich Village; the Brooklyn Bridge (shared with Brooklyn); the Macy's Thanksgiving Day Parade; the lighting of the Rockefeller Center Christmas Tree; the St. Patrick's Day Parade; seasonal activities such as ice skating in Central Park in the wintertime; the Tribeca Film Festival; and free performances in Central Park at SummerStage.Points of interest have also developed in the city outside Manhattan and have made the outer boroughs tourist destinations in their own right.</td>\n",
+ " <td id=\"T_3fd29_row2_col1\" class=\"data row2 col1\" >Fail</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x17d6eab00>"
+ "<pandas.io.formats.style.Styler at 0x1418264d0>"
]
},
"metadata": {},
diff --git a/docs/examples/metadata_extraction/MetadataExtraction_LLMSurvey.ipynb b/docs/examples/metadata_extraction/MetadataExtraction_LLMSurvey.ipynb
index dc91554f5c..f5fc5df33f 100644
--- a/docs/examples/metadata_extraction/MetadataExtraction_LLMSurvey.ipynb
+++ b/docs/examples/metadata_extraction/MetadataExtraction_LLMSurvey.ipynb
@@ -626,7 +626,82 @@
"execution_count": null,
"id": "5672f974-1a4d-435f-904a-77222eaaed16",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "**`Final Response:`** Metrics for evaluating text generation quality can vary depending on the task. However, some commonly used metrics include BLEU, ROUGE, and exact match metrics. \n",
+ "\n",
+ "BLEU and ROUGE are often used for evaluating machine translation and summarization tasks. They measure the n-gram overlap between the generated text and a reference text. However, these metrics have limitations. For example, they may not be suitable for tasks like abstractive summarization or dialogue, where a wide variety of responses are possible. This is because they rely on exact match and n-gram overlap, which may not capture the semantic quality or creativity of the generated text.\n",
+ "\n",
+ "Exact match metrics, such as BLEU and ROUGE, have the downside of not considering the possibility of a good response with zero n-gram overlap with the reference. This means that even if the generated text is a good response, it may receive a low score if it does not have any n-gram overlap with the reference.\n",
+ "\n",
+ "In addition to their limitations in capturing text quality, these metrics also have poor adaptability to a wider variety of tasks. Using a metric proposed for one task to evaluate another task may not be appropriate. \n",
+ "\n",
+ "Furthermore, these metrics have poor reproducibility. There can be high variance in scores across different studies, possibly due to variations in human judgment collection or metric parameter settings. This lack of consistency makes it challenging to compare results across different studies.\n",
+ "\n",
+ "Overall, while metrics like BLEU and ROUGE provide some quantitative measure of text generation quality, they have downsides in terms of adaptability, reproducibility, and their ability to capture the creativity and diversity of generated text."
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**`Source Node 1/1`**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Node ID:** 256dfc5a-cd91-4ff1-9f28-15693775e354<br>**Similarity:** 0.8402930255994321<br>**Text:** require creativity and\n",
+ "diversity](https://arxiv.org/abs/2303.16634).\n",
+ "\n",
+ "Second, these metrics often have **poor adaptability to a wider variety of\n",
+ "tasks**. Adopting a metric proposed for one task to another is not always\n",
+ "prudent. For example, exact match metrics such as BLEU and ROUGE are a poor\n",
+ "fit for tasks like abstractive summarization or dialogue. Since they’re based\n",
+ "on n-gram overlap between output and reference, they don’t make sense for a\n",
+ "dialogue task where a wide variety of responses are possible. An output can\n",
+ "have zero n-gram overlap with the reference but yet be a good response.\n",
+ "\n",
+ "Third, these metrics have **poor reproducibility**. Even for the same metric,\n",
+ "[high variance is reported across different\n",
+ "studies](https://arxiv.org/abs/2008.12009), possibly due to variations in\n",
+ "human judgment collection or metric parameter settings. Another study of\n",
+ "[ROUGE scores](https://aclanthology.org/2023.acl-long.107/) across 2,000\n",
+ "studies found that scores were hard<br>**Metadata:** {}<br>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"display_response(\n",
" response0, source_length=1000, show_source=True, show_source_metadata=True\n",
@@ -672,7 +747,82 @@
"execution_count": null,
"id": "7093adf9-5fdd-47e3-9114-fc2d264df81c",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "**`Final Response:`** Metrics for evaluating text generation quality can vary depending on the task at hand. However, some commonly used metrics include BLEU (Bilingual Evaluation Understudy), ROUGE (Recall-Oriented Understudy for Gisting Evaluation), and exact match metrics.\n",
+ "\n",
+ "BLEU and ROUGE are often used for evaluating machine translation and summarization tasks. They measure the overlap of n-grams (sequences of words) between the generated text and a reference text. Higher scores indicate better quality, as it suggests that the generated text is similar to the reference.\n",
+ "\n",
+ "Exact match metrics, on the other hand, focus on the exact match between the generated text and the reference. These metrics are commonly used for tasks like question answering or dialogue systems. They determine if the generated text matches the reference exactly, without considering partial matches or variations in wording.\n",
+ "\n",
+ "While these metrics can provide some insights into text generation quality, they have their downsides. First, they may lack adaptability to different tasks. For example, exact match metrics like BLEU and ROUGE may not be suitable for tasks like abstractive summarization or dialogue, where a wide variety of responses are possible.\n",
+ "\n",
+ "Second, these metrics may have poor reproducibility. Different studies have reported high variance in scores, possibly due to variations in human judgment collection or metric parameter settings. This can make it challenging to compare results across different studies or reproduce the same scores.\n",
+ "\n",
+ "In summary, metrics for evaluating text generation quality can be useful but should be chosen carefully based on the task. It is important to consider their adaptability, reproducibility, and limitations when interpreting the results."
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**`Source Node 1/1`**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Node ID:** 5161474e-bb2b-4642-9f07-692aa7db4375<br>**Similarity:** 0.8352202179927705<br>**Text:** require creativity and\n",
+ "diversity](https://arxiv.org/abs/2303.16634).\n",
+ "\n",
+ "Second, these metrics often have **poor adaptability to a wider variety of\n",
+ "tasks**. Adopting a metric proposed for one task to another is not always\n",
+ "prudent. For example, exact match metrics such as BLEU and ROUGE are a poor\n",
+ "fit for tasks like abstractive summarization or dialogue. Since they’re based\n",
+ "on n-gram overlap between output and reference, they don’t make sense for a\n",
+ "dialogue task where a wide variety of responses are possible. An output can\n",
+ "have zero n-gram overlap with the reference but yet be a good response.\n",
+ "\n",
+ "Third, these metrics have **poor reproducibility**. Even for the same metric,\n",
+ "[high variance is reported across different\n",
+ "studies](https://arxiv.org/abs/2008.12009), possibly due to variations in\n",
+ "human judgment collection or metric parameter settings. Another study of\n",
+ "[ROUGE scores](https://aclanthology.org/2023.acl-long.107/) across 2,000\n",
+ "studies found that scores were hard<br>**Metadata:** {'questions_this_excerpt_can_answer': '1. What are some limitations of using exact match metrics like BLEU and ROUGE for tasks such as abstractive summarization or dialogue?\\n2. Why is it not always prudent to adopt a metric proposed for one task to another?\\n3. What are some challenges in reproducing and comparing metric scores across different studies?'}<br>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"display_response(\n",
" response1, source_length=1000, show_source=True, show_source_metadata=True\n",
@@ -684,7 +834,78 @@
"execution_count": null,
"id": "b188a0dc-cb46-4370-ad28-ce3ca9d9fa4f",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "**`Final Response:`** Metrics for evaluating text generation quality include BERTScore and MoverScore. BERTScore measures the similarity between generated text and reference text by considering contextual embeddings. On the other hand, MoverScore measures the effort required to transform one text sequence into another by mapping semantically related words. \n",
+ "\n",
+ "However, there are downsides to using conventional benchmarks and metrics for text generation evaluation. Firstly, these metrics have been found to have poor correlation with human judgments. For example, metrics like BLEU and ROUGE have shown negative correlation with human evaluations of fluency and moderate to less correlation with human adequacy scores. Additionally, they have low correlation with tasks that require creativity and diversity.\n",
+ "\n",
+ "Secondly, these metrics often have poor adaptability to different tasks. Metrics like BLEU and ROUGE, which are based on n-gram overlap between output and reference, are not suitable for tasks like abstractive summarization or dialogue. Therefore, adopting a metric proposed for one task to another may not be appropriate."
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**`Source Node 1/1`**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Node ID:** 59031c3f-c150-4d84-82f6-a32bb9920a0a<br>**Similarity:** 0.8382547930335613<br>**Text:** is to measure the distance that words would\n",
+ "have to move to convert one sequence to another.\n",
+ "\n",
+ "However, there are several pitfalls to using these conventional benchmarks and\n",
+ "metrics.\n",
+ "\n",
+ "First, there’s **poor correlation between these metrics and human judgments.**\n",
+ "BLEU, ROUGE, and others have had [negative correlation with how humans\n",
+ "evaluate fluency](https://arxiv.org/abs/2008.12009). They also showed moderate\n",
+ "to less correlation with human adequacy scores. In particular, BLEU and ROUGE\n",
+ "have [low correlation with tasks that require creativity and\n",
+ "diversity](https://arxiv.org/abs/2303.16634).\n",
+ "\n",
+ "Second, these metrics often have **poor adaptability to a wider variety of\n",
+ "tasks**. Adopting a metric proposed for one task to another is not always\n",
+ "prudent. For example, exact match metrics such as BLEU and ROUGE are a poor\n",
+ "fit for tasks like abstractive summarization or dialogue. Since they’re based\n",
+ "on n-gram overlap between output and reference, they don’t make sense for a\n",
+ "dialogue task where ...<br>**Metadata:** {'prev_section_summary': 'The section discusses the comparison between BERTScore and MoverScore, two metrics used to evaluate the quality of text generation models. MoverScore is described as a metric that measures the effort required to transform one text sequence into another by mapping semantically related words. The section also highlights the limitations of conventional benchmarks and metrics, such as poor correlation with human judgments and low correlation with tasks requiring creativity.', 'next_section_summary': 'The section discusses the limitations of current evaluation metrics in natural language processing tasks. It highlights three main issues: lack of creativity and diversity in metrics, poor adaptability to different tasks, and poor reproducibility. The section mentions specific metrics like BLEU and ROUGE, and also references studies that have reported high variance in metric scores.', 'section_summary': 'The section discusses the limitations of conventional benchmarks and metrics used to measure the distance between word sequences. It highlights two main issues: the poor correlation between these metrics and human judgments, and their limited adaptability to different tasks. The section mentions specific metrics like BLEU and ROUGE, which have been found to have low correlation with human evaluations of fluency, adequacy, creativity, and diversity. It also points out that metrics based on n-gram overlap, such as BLEU and ROUGE, are not suitable for tasks like abstractive summarization or dialogue.', 'questions_this_excerpt_can_answer': '1. What are the limitations of conventional benchmarks and metrics in measuring the distance between word sequences?\\n2. How do metrics like BLEU and ROUGE correlate with human judgments in terms of fluency, adequacy, creativity, and diversity?\\n3. Why are metrics based on n-gram overlap, such as BLEU and ROUGE, not suitable for tasks like abstractive summarization or dialogue?'}<br>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"display_response(\n",
" response2, source_length=1000, show_source=True, show_source_metadata=True\n",
@@ -724,7 +945,75 @@
"execution_count": null,
"id": "4db36ec6-b64b-45da-aff1-ed51b79c571f",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "**`Final Response:`** BERTScore is a metric that is useful because it can account for synonyms and paraphrasing, unlike simpler metrics like BLEU and ROUGE. It uses contextualized embeddings to compute the distance between tokens in the generated output and reference. The formula for BERTScore is:\n",
+ "\n",
+ "\\[ F_{\\text{BERT}} = \\frac{2 \\cdot P_{\\text{BERT}} \\cdot R_{\\text{BERT}}}{P_{\\text{BERT}} + R_{\\text{BERT}}} \\]\n",
+ "\n",
+ "MoverScore, on the other hand, also uses contextualized embeddings to compute the distance between tokens in the generated output and reference. However, unlike BERTScore, which is based on one-to-one matching of tokens, MoverScore allows for many-to-one matching. This is also known as \"soft alignment.\" Unfortunately, the formula for MoverScore is not provided in the given context."
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**`Source Node 1/1`**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Node ID:** b15a1c51-3c52-42c2-aba0-1f7aa805e6ce<br>**Similarity:** 0.8393536980456234<br>**Text:** = F_{\\text{BERT}} =\n",
+ "\\frac{2 \\cdot P_{\\text{BERT}} \\cdot R_{\\text{BERT}}}{P_{\\text{BERT}} +\n",
+ "R_{\\text{BERT}}}\\\\]\n",
+ "\n",
+ "BERTScore is useful because it can account for synonyms and paraphrasing.\n",
+ "Simpler metrics like BLEU and ROUGE can’t do this due to their reliance on\n",
+ "exact matches. BERTScore has been shown to have better correlation for tasks\n",
+ "such as image captioning and machine translation.\n",
+ "\n",
+ "**[MoverScore](https://arxiv.org/abs/1909.02622)** also uses contextualized\n",
+ "embeddings to compute the distance between tokens in the generated output and\n",
+ "reference. But unlike BERTScore, which is based on one-to-one matching (or\n",
+ "“hard alignmentâ€) of tokens, MoverScore allows for many-to-one matching (or\n",
+ "“soft alignmentâ€).\n",
+ "\n",
+ "![BERTScore \\(left\\) vs. MoverScore<br>**Metadata:** {}<br>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"display_response(\n",
" response0, source_length=1000, show_source=True, show_source_metadata=True\n",
@@ -736,7 +1025,73 @@
"execution_count": null,
"id": "ddef5ae7-1030-4257-ba16-8340e46bd548",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "**`Final Response:`** BERTScore is a metric that is useful because it can account for synonyms and paraphrasing, unlike simpler metrics like BLEU and ROUGE. It uses contextualized embeddings to compute the distance between tokens in the generated output and reference. The formula for BERTScore is F_{BERT} = \\frac{2 \\cdot P_{BERT} \\cdot R_{BERT}}{P_{BERT} + R_{BERT}}.\n",
+ "\n",
+ "MoverScore, on the other hand, also uses contextualized embeddings to compute the distance between tokens in the generated output and reference. However, unlike BERTScore, which is based on one-to-one matching of tokens, MoverScore allows for many-to-one matching. Unfortunately, the formula for MoverScore is not provided in the given context."
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**`Source Node 1/1`**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Node ID:** c7d7dcb1-48a8-4433-9a58-a0a16ce9b14e<br>**Similarity:** 0.8485439966069306<br>**Text:** = F_{\\text{BERT}} =\n",
+ "\\frac{2 \\cdot P_{\\text{BERT}} \\cdot R_{\\text{BERT}}}{P_{\\text{BERT}} +\n",
+ "R_{\\text{BERT}}}\\\\]\n",
+ "\n",
+ "BERTScore is useful because it can account for synonyms and paraphrasing.\n",
+ "Simpler metrics like BLEU and ROUGE can’t do this due to their reliance on\n",
+ "exact matches. BERTScore has been shown to have better correlation for tasks\n",
+ "such as image captioning and machine translation.\n",
+ "\n",
+ "**[MoverScore](https://arxiv.org/abs/1909.02622)** also uses contextualized\n",
+ "embeddings to compute the distance between tokens in the generated output and\n",
+ "reference. But unlike BERTScore, which is based on one-to-one matching (or\n",
+ "“hard alignmentâ€) of tokens, MoverScore allows for many-to-one matching (or\n",
+ "“soft alignmentâ€).\n",
+ "\n",
+ "![BERTScore \\(left\\) vs. MoverScore<br>**Metadata:** {'questions_this_excerpt_can_answer': '1. What is the advantage of using BERTScore over simpler metrics like BLEU and ROUGE?\\n2. How does MoverScore differ from BERTScore in terms of token matching?\\n3. What tasks have shown better correlation with BERTScore, such as image captioning and machine translation?'}<br>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"display_response(\n",
" response1, source_length=1000, show_source=True, show_source_metadata=True\n",
@@ -748,7 +1103,75 @@
"execution_count": null,
"id": "43c607eb-6133-43f9-83c7-f6e4e03d78df",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "**`Final Response:`** BERTScore is a method used to compute the similarity between generated output and reference in tasks like image captioning and machine translation. It considers synonyms and paraphrasing, unlike simpler metrics such as BLEU and ROUGE. BERTScore uses one-to-one matching of tokens to calculate its score.\n",
+ "\n",
+ "MoverScore, on the other hand, also utilizes contextualized embeddings to compute the distance between tokens in the generated output and reference. Unlike BERTScore, which uses one-to-one matching, MoverScore allows for many-to-one matching. It solves an optimization problem to find the minimum effort required to transform one text into another by measuring the distance words would have to move.\n",
+ "\n",
+ "Unfortunately, the formulas for BERTScore and MoverScore are not provided in the given context."
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "---"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**`Source Node 1/1`**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "**Node ID:** 21664308-0009-435f-93fc-1ff7de4a9091<br>**Similarity:** 0.8474860535677818<br>**Text:** = F_{\\text{BERT}} =\n",
+ "\\frac{2 \\cdot P_{\\text{BERT}} \\cdot R_{\\text{BERT}}}{P_{\\text{BERT}} +\n",
+ "R_{\\text{BERT}}}\\\\]\n",
+ "\n",
+ "BERTScore is useful because it can account for synonyms and paraphrasing.\n",
+ "Simpler metrics like BLEU and ROUGE can’t do this due to their reliance on\n",
+ "exact matches. BERTScore has been shown to have better correlation for tasks\n",
+ "such as image captioning and machine translation.\n",
+ "\n",
+ "**[MoverScore](https://arxiv.org/abs/1909.02622)** also uses contextualized\n",
+ "embeddings to compute the distance between tokens in the generated output and\n",
+ "reference. But unlike BERTScore, which is based on one-to-one matching (or\n",
+ "“hard alignmentâ€) of tokens, MoverScore allows for many-to-one matching (or\n",
+ "“soft alignmentâ€).\n",
+ "\n",
+ "![BERTScore \\(left\\) vs. MoverScore<br>**Metadata:** {'next_section_summary': 'The key topics of this section are BERTScore and MoverScore, which are methods used to compute the similarity between generated output and reference in tasks like image captioning and machine translation. BERTScore uses one-to-one matching of tokens, while MoverScore allows for many-to-one matching. MoverScore solves an optimization problem to find the minimum effort required to transform one text into another by measuring the distance words would have to move.', 'section_summary': \"The section discusses the importance of BERTScore and MoverScore in evaluating the quality of generated text. BERTScore is advantageous as it considers synonyms and paraphrasing, unlike simpler metrics such as BLEU and ROUGE. It has shown better correlation in tasks like image captioning and machine translation. On the other hand, MoverScore also utilizes contextualized embeddings but allows for many-to-one matching, unlike BERTScore's one-to-one matching.\", 'questions_this_excerpt_can_answer': \"1. What are the key differences between BERTScore and MoverScore in terms of their matching approaches?\\n2. How does BERTScore account for synonyms and paraphrasing, and why is this advantageous compared to metrics like BLEU and ROUGE?\\n3. What is the advantage of MoverScore allowing for many-to-one matching compared to BERTScore's one-to-one matching?\"}<br>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"display_response(\n",
" response2, source_length=1000, show_source=True, show_source_metadata=True\n",
diff --git a/docs/examples/output_parsing/__pycache__/directory.cpython-311.pyc b/docs/examples/output_parsing/__pycache__/directory.cpython-311.pyc
deleted file mode 100644
index 0352eb02f06a02b29c5cc7ddf364568efd461901..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 2546
zcmbVN&2Jk;6rZ)%>#sOX3Qa@ORuc+pEF$}cO0g<IlR#A0l}dUsLd(Q6j<;Ixn%OmN
zaxxN!960z;(H=Pks^*Vzsz|l=REZN8<dB?t;=Ng~^9e%i$J;maK6d84-+S|GE|(#2
z&Hr^*{E#5zcN|2QF=P$`V4e|9xMq_oeq*-Qj8$VA@^L%f)T??kQB7zhM!q0i|B>*7
zFa&v&j9hK&guH||ys9asXMkQ(=-Y9S!8??tl`I9a^ch)3q<_gqn#aG}FnBqd(1^(V
zH$AR>Me><H(6W-(0=;Z`em)kYKWCn}=W<~OiDgUJyf*R;j5Zt`%mDL@2vXHJsm8cg
zjq_Ml=kaQS>)<yLq$=QJb)zLVOG{3>DJ1hP*P&9hr0|5}Th2Q58-n_v;!(Fw9nklv
z<xocJmMy#u&lk-?pyMDg>aNX&tmKU#Wtt9a3eyZSrrC6P+eUuOG{0*zdnieoCU<Kv
ztuL>XmjYw?etB`}!3%PL%YXZ@*l?SoXuIpoX%=mpHJNESTs$#b(rpQOe5we3yrOu*
znk`sU(QW&!wr{qW^k4%;Zb?z|UAa+cZAi?xBFK2xfOJN8UtjL&%WtxioyC6cQfC=&
zIT;z82yq0JgP%cs6yk>f!D>84gwA6;zN2r)AnovmR~12*<cSgtQAeb>v6DQdlNK3H
z-iu5K=%+^d*+*lMfTwpdrz~?K3))%K=3|iFT%com*|&g)42A2C%{=d9av8-C*+M1u
zOkU|7=Fl}kg#{px!<<uBaVpgX<+tMc0FegsBaIq!9M`7}_PwCBhGlapoCUhpRtn0H
zf=VHytUr_M-Yv!98W9_G-t%St7F`A8sWAW#QHbCR|A?BAV>*vT@ilJso1u{n6Npx&
zGQ{k>Rj16^$R9aCcP1j6&Z9Aw!O&h!9{cISzePYTy|8()f-4^yg@y1!3$joyHEFf5
ztO6Z3vw0tvJ6at?CS2eGbsc+yvR2EsYHSTsQini?j=Y7i+AwNo0t@Zn0vC1GwtchC
z6wu`qU?50E5!zf_I-S7K?*eUmn7Lt?eV20K3)!?BK_54)T7z0Xt+{QR0}9|j$>D!O
z|LIWxEBSGWZCYaQlZa87Ljnz($jd;2IAk=qV47<Es>yg*_?Re(V3%<usyN4yn?*8#
zMAhF#<lc=4YIwf^IV#-_8N||w)PNwFB9l|yM7P$v@o8_Ov^!DSn<#Y_x32f}5<I(l
zsekqT=MVeSR|dM4yE;f3*NlAv<Pb^c%Prph_$PZnjD(>G$bcIsv-J6g{fX(PIW(IF
zvspBoMYCC>v$FN%w8_XrxCvbU`Ay^|Nd8X~;Rcj>GRQ4P9d1<$vFR&B-f<nDK_Vrs
zomcjwrbvCTIkyz03pK1tV^|hy0+SxW{FrHBbM67^hro&yPX0w+f_(-$x~b$-|BRS9
zPz$qt6}eL|pg4!*BY3^rKu*HIKo}sIAQvxpFLk}%{N3JUd3UnBH(3T4e9+U&@a!rI
zOqd*Wm>&yt0mooqKm&lbs6ZLa9y@yqYtrKD0uB<+;B>4>JO@IUUjZ)A@e~bVtk8;H
zgLm33&U|4)JwIlWn^M%hQ=595DusvSZFvJs@BsJz1Tu(gn${=Tj=KBga_{8xhTQC(
z_Y4eOn;MX_WXtO=K3&;I$>EWBd`1JPpCwzL?Bnd=k?2-hyQe{wolCpm7$t|t<<mq<
kye8AH$n-9m*&{POGSery*JSP$ncF4T_sI2L^r%ey4GHXvj{pDw
diff --git a/llama-index-core/BUILD b/llama-index-core/BUILD
index 0896ca890d..e229987fbb 100644
--- a/llama-index-core/BUILD
+++ b/llama-index-core/BUILD
@@ -1,3 +1,4 @@
poetry_requirements(
name="poetry",
+ module_mapping={"llamaindex-py-client": ["llama_index_client"]},
)
diff --git a/llama-index-core/llama_index/core/agent/runner/base.py b/llama-index-core/llama_index/core/agent/runner/base.py
index 6ad2cb087d..b8442a1f15 100644
--- a/llama-index-core/llama_index/core/agent/runner/base.py
+++ b/llama-index-core/llama_index/core/agent/runner/base.py
@@ -253,8 +253,10 @@ class AgentRunner(BaseAgentRunner):
)
try:
- from llama_index.llms.openai import OpenAI
- from llama_index.llms.openai.utils import is_function_calling_model
+ from llama_index.llms.openai import OpenAI # pants: no-infer-dep
+ from llama_index.llms.openai.utils import (
+ is_function_calling_model,
+ ) # pants: no-infer-dep
except ImportError:
raise ImportError(
"`llama-index-llms-openai` package not found. Please "
@@ -262,7 +264,7 @@ class AgentRunner(BaseAgentRunner):
)
if isinstance(llm, OpenAI) and is_function_calling_model(llm.model):
- from llama_index.agent.openai import OpenAIAgent
+ from llama_index.agent.openai import OpenAIAgent # pants: no-infer-dep
return OpenAIAgent.from_tools(
tools=tools,
diff --git a/llama-index-core/llama_index/core/callbacks/base.py b/llama-index-core/llama_index/core/callbacks/base.py
index 71722880b6..cc6b671195 100644
--- a/llama-index-core/llama_index/core/callbacks/base.py
+++ b/llama-index-core/llama_index/core/callbacks/base.py
@@ -139,6 +139,11 @@ class CallbackManager(BaseCallbackHandler, ABC):
"""Set handlers as the only handlers on the callback manager."""
self.handlers = handlers
+ @classmethod
+ def __modify_schema__(cls, schema: Dict[str, Any]) -> None:
+ """Avoids serialization errors."""
+ schema.update(type="object", default={})
+
@contextmanager
def event(
self,
diff --git a/llama-index-core/llama_index/core/command_line/command_line.py b/llama-index-core/llama_index/core/command_line/command_line.py
index 39539215df..f963661833 100644
--- a/llama-index-core/llama_index/core/command_line/command_line.py
+++ b/llama-index-core/llama_index/core/command_line/command_line.py
@@ -99,7 +99,7 @@ def default_rag_cli() -> RagCLI:
from llama_index.vector_stores.chroma import (
ChromaVectorStore,
- )
+ ) # pants: no-infer-dep
except ImportError:
ChromaVectorStore = None
diff --git a/llama-index-core/llama_index/core/constants.py b/llama-index-core/llama_index/core/constants.py
index 6e6024eb27..48aac453f8 100644
--- a/llama-index-core/llama_index/core/constants.py
+++ b/llama-index-core/llama_index/core/constants.py
@@ -27,3 +27,9 @@ IMAGE_STORE_KEY = "image_store"
GRAPH_STORE_KEY = "graph_store"
INDEX_STORE_KEY = "index_store"
DOC_STORE_KEY = "doc_store"
+
+# llama-cloud constants
+DEFAULT_PIPELINE_NAME = "default"
+DEFAULT_PROJECT_NAME = "default"
+DEFAULT_BASE_URL = "https://api.cloud.llamaindex.ai"
+DEFAULT_APP_URL = "https://cloud.llamaindex.ai"
diff --git a/llama-index-core/llama_index/core/evaluation/eval_utils.py b/llama-index-core/llama_index/core/evaluation/eval_utils.py
index be097c3a7d..ee06573957 100644
--- a/llama-index-core/llama_index/core/evaluation/eval_utils.py
+++ b/llama-index-core/llama_index/core/evaluation/eval_utils.py
@@ -5,14 +5,24 @@ NOTE: These are beta functions, might change.
"""
import asyncio
+import os
+import subprocess
+import tempfile
from collections import defaultdict
from typing import Any, List, Optional, Tuple
import numpy as np
import pandas as pd
+
+from llama_index_client import ProjectCreate
+from llama_index_client.client import PlatformApi
+from llama_index_client.types.eval_question_create import EvalQuestionCreate
+
from llama_index.core.async_utils import asyncio_module
from llama_index.core.base.base_query_engine import BaseQueryEngine
+from llama_index.core.constants import DEFAULT_BASE_URL, DEFAULT_PROJECT_NAME
from llama_index.core.evaluation.base import EvaluationResult
+from llama_index.core.llama_dataset import LabelledRagDataset
async def aget_responses(
@@ -61,6 +71,100 @@ def get_results_df(
return pd.DataFrame(metric_dict)
+def _download_llama_dataset_from_hub(llama_dataset_id: str) -> LabelledRagDataset:
+ """Uses a subprocess and llamaindex-cli to download a dataset from llama-hub."""
+ with tempfile.TemporaryDirectory() as tmp:
+ try:
+ subprocess.run(
+ [
+ "llamaindex-cli",
+ "download-llamadataset",
+ f"{llama_dataset_id}",
+ "--download-dir",
+ f"{tmp}",
+ ]
+ )
+ return LabelledRagDataset.from_json(f"{tmp}/rag_dataset.json")
+ except FileNotFoundError as err:
+ raise ValueError(
+ "No dataset associated with the supplied `llama_dataset_id`"
+ ) from err
+
+
+def upload_eval_dataset(
+ dataset_name: str,
+ questions: Optional[List[str]] = None,
+ llama_dataset_id: Optional[str] = None,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ base_url: Optional[str] = None,
+ api_key: Optional[str] = None,
+ overwrite: bool = False,
+ append: bool = False,
+) -> str:
+ """Upload questions to platform dataset."""
+ if questions is None and llama_dataset_id is None:
+ raise ValueError(
+ "Must supply either a list of `questions`, or a `llama_dataset_id` to import from llama-hub."
+ )
+
+ base_url = base_url or os.environ.get("LLAMA_CLOUD_BASE_URL", DEFAULT_BASE_URL)
+ assert base_url is not None
+
+ api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY", None)
+
+ client = PlatformApi(base_url=base_url, token=api_key)
+
+ project = client.project.upsert_project(request=ProjectCreate(name=project_name))
+ assert project.id is not None
+
+ existing_datasets = client.project.get_datasets_for_project(project_id=project.id)
+
+ # check if dataset already exists
+ cur_dataset = None
+ for dataset in existing_datasets:
+ if dataset.name == dataset_name:
+ if overwrite:
+ assert dataset.id is not None
+ client.eval.delete_dataset(dataset_id=dataset.id)
+ break
+ elif not append:
+ raise ValueError(
+ f"Dataset {dataset_name} already exists in project {project_name}."
+ " Set overwrite=True to overwrite or append=True to append."
+ )
+ else:
+ cur_dataset = dataset
+ break
+
+ # either create new dataset or use existing one
+ if cur_dataset is None:
+ eval_dataset = client.project.create_eval_dataset_for_project(
+ project_id=project.id, name=dataset_name
+ )
+ else:
+ eval_dataset = cur_dataset
+
+ assert eval_dataset.id is not None
+
+ # create questions
+ if questions:
+ questions = questions
+ else:
+ # download `LabelledRagDataset` from llama-hub
+ assert llama_dataset_id is not None
+ rag_dataset = _download_llama_dataset_from_hub(llama_dataset_id)
+ questions = [example.query for example in rag_dataset[:]]
+
+ eval_questions = client.eval.create_questions(
+ dataset_id=eval_dataset.id,
+ request=[EvalQuestionCreate(content=q) for q in questions],
+ )
+
+ assert len(eval_questions) == len(questions)
+ print(f"Uploaded {len(questions)} questions to dataset {dataset_name}")
+ return eval_dataset.id
+
+
def default_parser(eval_response: str) -> Tuple[Optional[float], Optional[str]]:
"""
Default parser function for evaluation response.
diff --git a/llama-index-core/llama_index/core/indices/managed/base.py b/llama-index-core/llama_index/core/indices/managed/base.py
index a788af24d0..35d375b729 100644
--- a/llama-index-core/llama_index/core/indices/managed/base.py
+++ b/llama-index-core/llama_index/core/indices/managed/base.py
@@ -93,4 +93,6 @@ class BaseManagedIndex(BaseIndex[IndexDict], ABC):
**kwargs: Any,
) -> IndexType:
"""Build an index from a sequence of documents."""
- raise NotImplementedError("ref_doc_info not implemented for BaseManagedIndex.")
+ raise NotImplementedError(
+ "from_documents not implemented for BaseManagedIndex."
+ )
diff --git a/llama-index-core/llama_index/core/ingestion/api_utils.py b/llama-index-core/llama_index/core/ingestion/api_utils.py
new file mode 100644
index 0000000000..36fdeda5a6
--- /dev/null
+++ b/llama-index-core/llama_index/core/ingestion/api_utils.py
@@ -0,0 +1,151 @@
+import os
+from typing import List, Optional
+
+from llama_index_client import (
+ ConfigurableDataSourceNames,
+ ConfigurableTransformationNames,
+ ConfiguredTransformationItem,
+ DataSourceCreate,
+ PipelineCreate,
+ PipelineType,
+ ProjectCreate,
+)
+from llama_index_client.client import AsyncPlatformApi, PlatformApi
+
+from llama_index.core.constants import (
+ DEFAULT_APP_URL,
+ DEFAULT_BASE_URL,
+ DEFAULT_PROJECT_NAME,
+)
+from llama_index.core.ingestion.data_sources import (
+ ConfiguredDataSource,
+)
+from llama_index.core.ingestion.transformations import (
+ ConfiguredTransformation,
+)
+from llama_index.core.node_parser import SentenceSplitter
+from llama_index.core.readers.base import ReaderConfig
+from llama_index.core.schema import BaseNode, TransformComponent
+
+
+def default_transformations() -> List[TransformComponent]:
+ """Default transformations."""
+ from llama_index.embeddings.openai import OpenAIEmbedding # pants: no-infer-dep
+
+ return [
+ SentenceSplitter(),
+ OpenAIEmbedding(),
+ ]
+
+
+def get_client(
+ api_key: Optional[str] = None,
+ base_url: Optional[str] = None,
+ app_url: Optional[str] = None,
+ timeout: int = 60,
+) -> PlatformApi:
+ """Get the sync platform API client."""
+ base_url = base_url or os.environ.get("LLAMA_CLOUD_BASE_URL", DEFAULT_BASE_URL)
+ app_url = app_url or os.environ.get("LLAMA_CLOUD_APP_URL", DEFAULT_APP_URL)
+ api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY", None)
+
+ return PlatformApi(base_url=base_url, token=api_key, timeout=timeout)
+
+
+def get_aclient(
+ api_key: Optional[str] = None,
+ base_url: Optional[str] = None,
+ app_url: Optional[str] = None,
+ timeout: int = 60,
+) -> AsyncPlatformApi:
+ """Get the async platform API client."""
+ base_url = base_url or os.environ.get("LLAMA_CLOUD_BASE_URL", DEFAULT_BASE_URL)
+ app_url = app_url or os.environ.get("LLAMA_CLOUD_APP_URL", DEFAULT_APP_URL)
+ api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY", None)
+
+ return AsyncPlatformApi(base_url=base_url, token=api_key, timeout=timeout)
+
+
+def get_pipeline_create(
+ pipeline_name: str,
+ client: PlatformApi,
+ pipeline_type: PipelineType,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ transformations: Optional[List[TransformComponent]] = None,
+ readers: Optional[List[ReaderConfig]] = None,
+ input_nodes: Optional[List[BaseNode]] = None,
+) -> PipelineCreate:
+ """Get a pipeline create object."""
+ transformations = transformations or []
+ readers = readers or []
+ input_nodes = input_nodes or []
+
+ configured_transformations: List[ConfiguredTransformation] = []
+ for transformation in transformations:
+ try:
+ configured_transformations.append(
+ ConfiguredTransformation.from_component(transformation)
+ )
+ except ValueError:
+ raise ValueError(f"Unsupported transformation: {type(transformation)}")
+
+ configured_transformation_items: List[ConfiguredTransformationItem] = []
+ for item in configured_transformations:
+ name = ConfigurableTransformationNames[
+ item.configurable_transformation_type.name
+ ]
+ configured_transformation_items.append(
+ ConfiguredTransformationItem(
+ transformation_name=name,
+ component=item.component,
+ configurable_transformation_type=item.configurable_transformation_type.name,
+ )
+ )
+
+ # remove callback manager
+ configured_transformation_items[-1].component.pop("callback_manager", None) # type: ignore
+
+ data_sources = []
+ for reader in readers:
+ if reader.reader.is_remote:
+ configured_data_source = ConfiguredDataSource.from_component(
+ reader,
+ )
+ source_type = ConfigurableDataSourceNames[
+ configured_data_source.configurable_data_source_type.name
+ ]
+ data_sources.append(
+ DataSourceCreate(
+ name=configured_data_source.name,
+ source_type=source_type,
+ component=configured_data_source.component,
+ )
+ )
+ else:
+ documents = reader.read()
+ input_nodes += documents
+
+ for node in input_nodes:
+ configured_data_source = ConfiguredDataSource.from_component(node)
+ source_type = ConfigurableDataSourceNames[
+ configured_data_source.configurable_data_source_type.name
+ ]
+ data_sources.append(
+ DataSourceCreate(
+ name=configured_data_source.name,
+ source_type=source_type,
+ component=node,
+ )
+ )
+
+ project = client.project.upsert_project(request=ProjectCreate(name=project_name))
+ assert project.id is not None, "Project ID should not be None"
+
+ # upload
+ return PipelineCreate(
+ name=pipeline_name,
+ configured_transformations=configured_transformation_items,
+ data_sources=data_sources,
+ data_sinks=[],
+ pipeline_type=pipeline_type,
+ )
diff --git a/llama-index-core/llama_index/core/ingestion/data_sinks.py b/llama-index-core/llama_index/core/ingestion/data_sinks.py
new file mode 100644
index 0000000000..9a1b88b058
--- /dev/null
+++ b/llama-index-core/llama_index/core/ingestion/data_sinks.py
@@ -0,0 +1,176 @@
+from enum import Enum
+from typing import Generic, Type, TypeVar
+
+from llama_index.core.bridge.pydantic import BaseModel, Field, GenericModel
+from llama_index.core.vector_stores.types import BasePydanticVectorStore
+
+
+class DataSink(BaseModel):
+ """
+ A class containing metadata for a type of data sink.
+ """
+
+ name: str = Field(
+ description="Unique and human-readable name for the type of data sink"
+ )
+ component_type: Type[BasePydanticVectorStore] = Field(
+ description="Type of component that implements the data sink"
+ )
+
+
+def build_conifurable_data_sink_enum():
+ """
+ Build an enum of configurable data sinks.
+ But conditional on if the corresponding vector store is available.
+ """
+
+ class ConfigurableComponent(Enum):
+ @classmethod
+ def from_component(
+ cls, component: BasePydanticVectorStore
+ ) -> "ConfigurableDataSinks":
+ component_class = type(component)
+ for component_type in cls:
+ if component_type.value.component_type == component_class:
+ return component_type
+ raise ValueError(
+ f"Component {component} is not a supported data sink component."
+ )
+
+ def build_configured_data_sink(
+ self, component: BasePydanticVectorStore
+ ) -> "ConfiguredDataSink":
+ component_type = self.value.component_type
+ if not isinstance(component, component_type):
+ raise ValueError(
+ f"The enum value {self} is not compatible with component of "
+ f"type {type(component)}"
+ )
+ return ConfiguredDataSink[component_type]( # type: ignore
+ component=component, name=self.value.name
+ )
+
+ enum_members = []
+
+ try:
+ from llama_index.vector_stores.chroma import (
+ ChromaVectorStore,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "CHROMA",
+ DataSink(
+ name="Chroma",
+ component_type=ChromaVectorStore,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.vector_stores.pinecone import (
+ PineconeVectorStore,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "PINECONE",
+ DataSink(
+ name="Pinecone",
+ component_type=PineconeVectorStore,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.vector_stores.postgres import (
+ PGVectorStore,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "POSTGRES",
+ DataSink(
+ name="PostgreSQL",
+ component_type=PGVectorStore,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.vector_stores.qdrant import (
+ QdrantVectorStore,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "QDRANT",
+ DataSink(
+ name="Qdrant",
+ component_type=QdrantVectorStore,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.vector_stores.weaviate import (
+ WeaviateVectorStore,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "WEAVIATE",
+ DataSink(
+ name="Weaviate",
+ component_type=WeaviateVectorStore,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ return ConfigurableComponent("ConfigurableDataSinks", enum_members)
+
+
+ConfigurableDataSinks = build_conifurable_data_sink_enum()
+
+
+T = TypeVar("T", bound=BasePydanticVectorStore)
+
+
+class ConfiguredDataSink(GenericModel, Generic[T]):
+ """
+ A class containing metadata & implementation for a data sink in a pipeline.
+ """
+
+ name: str
+ component: T = Field(description="Component that implements the data sink")
+
+ @classmethod
+ def from_component(cls, component: BasePydanticVectorStore) -> "ConfiguredDataSink":
+ """
+ Build a ConfiguredDataSink from a component.
+ This should be the preferred way to build a ConfiguredDataSink
+ as it will ensure that the component is supported as indicated by having a
+ corresponding enum value in DataSources.
+ This has the added bonus that you don't need to specify the generic type
+ like ConfiguredDataSink[Document]. The return value of
+ this ConfiguredDataSink.from_component(document) will be
+ ConfiguredDataSink[Document] if document is
+ a Document object.
+ """
+ return ConfigurableDataSinks.from_component(
+ component
+ ).build_configured_data_sink(component)
+
+ @property
+ def configurable_data_sink_type(self) -> ConfigurableDataSinks:
+ return ConfigurableDataSinks.from_component(self.component)
diff --git a/llama-index-core/llama_index/core/ingestion/data_sources.py b/llama-index-core/llama_index/core/ingestion/data_sources.py
new file mode 100644
index 0000000000..d728a3b290
--- /dev/null
+++ b/llama-index-core/llama_index/core/ingestion/data_sources.py
@@ -0,0 +1,376 @@
+import uuid
+from enum import Enum
+from pathlib import Path
+from typing import Any, Generic, Iterable, List, Optional, Type, TypeVar, cast
+
+from llama_index.core.bridge.pydantic import BaseModel, Field, GenericModel
+from llama_index.core.readers.base import BasePydanticReader, ReaderConfig
+from llama_index.core.schema import BaseComponent, Document, TextNode
+
+
+class DataSource(BaseModel):
+ """
+ A class containing metadata for a type of data source.
+ """
+
+ name: str = Field(
+ description="Unique and human-readable name for the type of data source"
+ )
+ component_type: Type[BaseComponent] = Field(
+ description="Type of component that implements the data source"
+ )
+
+
+class DocumentGroup(BasePydanticReader):
+ """
+ A group of documents, usually separate pages from a single file.
+ """
+
+ file_path: str = Field(description="Path to the file containing the documents")
+ documents: List[Document] = Field(
+ description="Sequential group of documents, usually separate pages from a single file."
+ )
+
+ @property
+ def file_name(self) -> str:
+ return Path(self.file_path).name
+
+ @classmethod
+ def class_name(cls) -> str:
+ return "DocumentGroup"
+
+ def lazy_load_data(self, *args: Any, **load_kwargs: Any) -> Iterable[Document]:
+ """Load data from the input directory lazily."""
+ return self.documents
+
+
+def build_conifurable_data_source_enum():
+ """
+ Build an enum of configurable data sources.
+ But conditional on if the corresponding reader is available.
+ """
+
+ class ConfigurableComponent(Enum):
+ @classmethod
+ def from_component(cls, component: BaseComponent) -> "ConfigurableDataSources":
+ component_class = type(component)
+ for component_type in cls:
+ if component_type.value.component_type == component_class:
+ return component_type
+ raise ValueError(
+ f"Component {component} is not a supported data source component."
+ )
+
+ def build_configured_data_source(
+ self, component: BaseComponent, name: Optional[str] = None
+ ) -> "ConfiguredDataSource":
+ component_type = self.value.component_type
+ if not isinstance(component, component_type):
+ raise ValueError(
+ f"The enum value {self} is not compatible with component of "
+ f"type {type(component)}"
+ )
+ elif isinstance(component, BasePydanticReader):
+ reader_config = ReaderConfig(loader=component)
+ return ConfiguredDataSource[ReaderConfig](
+ component=reader_config
+ ) # type: ignore
+
+ if isinstance(component, DocumentGroup) and name is None:
+ # if the component is a DocumentGroup, we want to use the
+ # full file path as the name of the data source
+ component = cast(DocumentGroup, component)
+ name = component.file_path
+
+ if name is None:
+ suffix = uuid.uuid1()
+ name = self.value.name + f" [{suffix}]]"
+ return ConfiguredDataSource[component_type]( # type: ignore
+ component=component, name=name
+ )
+
+ enum_members = []
+
+ try:
+ from llama_index.readers.discord import DiscordReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "DISCORD",
+ DataSource(
+ name="Discord",
+ component_type=DiscordReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.elasticsearch import (
+ ElasticsearchReader,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "ELASTICSEARCH",
+ DataSource(
+ name="Elasticsearch",
+ component_type=ElasticsearchReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.notion import NotionPageReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "NOTION_PAGE",
+ DataSource(
+ name="Notion Page",
+ component_type=NotionPageReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.slack import SlackReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "SLACK",
+ DataSource(
+ name="Slack",
+ component_type=SlackReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.twitter import (
+ TwitterTweetReader,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "TWITTER",
+ DataSource(
+ name="Twitter",
+ component_type=TwitterTweetReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.web import SimpleWebPageReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "SIMPLE_WEB_PAGE",
+ DataSource(
+ name="Simple Web Page",
+ component_type=SimpleWebPageReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.web import TrafilaturaWebReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "TRAFILATURA_WEB_PAGE",
+ DataSource(
+ name="Trafilatura Web Page",
+ component_type=TrafilaturaWebReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.web import (
+ BeautifulSoupWebReader,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "BEAUTIFUL_SOUP_WEB_PAGE",
+ DataSource(
+ name="Beautiful Soup Web Page",
+ component_type=BeautifulSoupWebReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.web import RssReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "RSS",
+ DataSource(
+ name="RSS",
+ component_type=RssReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.wikipedia import WikipediaReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "WIKIPEDIA",
+ DataSource(
+ name="Wikipedia",
+ component_type=WikipediaReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.youtube_transcript import (
+ YoutubeTranscriptReader,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "YOUTUBE_TRANSCRIPT",
+ DataSource(
+ name="Youtube Transcript",
+ component_type=YoutubeTranscriptReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.google import GoogleDocsReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "GOOGLE_DOCS",
+ DataSource(
+ name="Google Docs",
+ component_type=GoogleDocsReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.readers.google import GoogleSheetsReader # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "GOOGLE_SHEETS",
+ DataSource(
+ name="Google Sheets",
+ component_type=GoogleSheetsReader,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ enum_members.append(
+ (
+ "READER",
+ DataSource(
+ name="Reader",
+ component_type=ReaderConfig,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "DOCUMENT_GROUP",
+ DataSource(
+ name="Document Group",
+ component_type=DocumentGroup,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "TEXT_NODE",
+ DataSource(
+ name="Text Node",
+ component_type=TextNode,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "DOCUMENT",
+ DataSource(
+ name="Document",
+ component_type=Document,
+ ),
+ )
+ )
+
+ return ConfigurableComponent("ConfigurableDataSources", enum_members)
+
+
+ConfigurableDataSources = build_conifurable_data_source_enum()
+
+T = TypeVar("T", bound=BaseComponent)
+
+
+class ConfiguredDataSource(GenericModel, Generic[T]):
+ """
+ A class containing metadata & implementation for a data source in a pipeline.
+ """
+
+ name: str
+ component: T = Field(description="Component that implements the data source")
+
+ @classmethod
+ def from_component(
+ cls, component: BaseComponent, name: Optional[str] = None
+ ) -> "ConfiguredDataSource":
+ """
+ Build a ConfiguredDataSource from a component.
+
+ This should be the preferred way to build a ConfiguredDataSource
+ as it will ensure that the component is supported as indicated by having a
+ corresponding enum value in DataSources.
+
+ This has the added bonus that you don't need to specify the generic type
+ like ConfiguredDataSource[Document]. The return value of
+ this ConfiguredDataSource.from_component(document) will be
+ ConfiguredDataSource[Document] if document is
+ a Document object.
+ """
+ return ConfigurableDataSources.from_component(
+ component
+ ).build_configured_data_source(component, name)
+
+ @property
+ def configurable_data_source_type(self) -> ConfigurableDataSources:
+ return ConfigurableDataSources.from_component(self.component)
diff --git a/llama-index-core/llama_index/core/ingestion/pipeline.py b/llama-index-core/llama_index/core/ingestion/pipeline.py
index c8cc3734b2..86c841ebc9 100644
--- a/llama-index-core/llama_index/core/ingestion/pipeline.py
+++ b/llama-index-core/llama_index/core/ingestion/pipeline.py
@@ -1,5 +1,6 @@
import asyncio
import multiprocessing
+import os
import re
import warnings
from concurrent.futures import ProcessPoolExecutor
@@ -8,14 +9,37 @@ from functools import partial, reduce
from hashlib import sha256
from itertools import repeat
from pathlib import Path
-from typing import Any, Generator, List, Optional, Sequence, Union
+from typing import Any, Generator, List, Optional, Sequence, Union, cast
from fsspec import AbstractFileSystem
+from llama_index_client import (
+ ConfigurableDataSourceNames,
+ ConfigurableTransformationNames,
+ Pipeline,
+ PipelineType,
+ Project,
+ ProjectCreate,
+)
+from llama_index_client.client import PlatformApi
+
+from llama_index.core.constants import (
+ DEFAULT_APP_URL,
+ DEFAULT_BASE_URL,
+ DEFAULT_PIPELINE_NAME,
+ DEFAULT_PROJECT_NAME,
+)
from llama_index.core.bridge.pydantic import BaseModel, Field
from llama_index.core.ingestion.cache import DEFAULT_CACHE_NAME, IngestionCache
+from llama_index.core.ingestion.data_sources import (
+ ConfigurableDataSources,
+)
+from llama_index.core.ingestion.transformations import (
+ ConfigurableTransformations,
+)
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.readers.base import ReaderConfig
from llama_index.core.schema import (
+ BaseComponent,
BaseNode,
Document,
MetadataMode,
@@ -31,6 +55,20 @@ from llama_index.core.utils import concat_dirs
from llama_index.core.vector_stores.types import BasePydanticVectorStore
+def deserialize_transformation_component(
+ component_dict: dict, component_type: ConfigurableTransformationNames
+) -> BaseComponent:
+ component_cls = ConfigurableTransformations[component_type].value.component_type
+ return component_cls.from_dict(component_dict)
+
+
+def deserialize_source_component(
+ component_dict: dict, component_type: ConfigurableDataSourceNames
+) -> BaseComponent:
+ component_cls = ConfigurableDataSources[component_type].value.component_type
+ return component_cls.from_dict(component_dict)
+
+
def remove_unstable_values(s: str) -> str:
"""Remove unstable key/value pairs.
@@ -164,12 +202,22 @@ class DocstoreStrategy(str, Enum):
class IngestionPipeline(BaseModel):
"""An ingestion pipeline that can be applied to data."""
+ name: str = Field(
+ default=DEFAULT_PIPELINE_NAME,
+ description="Unique name of the ingestion pipeline",
+ )
+ project_name: str = Field(
+ default=DEFAULT_PROJECT_NAME, description="Unique name of the project"
+ )
+
transformations: List[TransformComponent] = Field(
description="Transformations to apply to the data"
)
documents: Optional[Sequence[Document]] = Field(description="Documents to ingest")
- reader: Optional[ReaderConfig] = Field(description="Reader to use to read the data")
+ readers: Optional[List[ReaderConfig]] = Field(
+ description="Reader to use to read the data"
+ )
vector_store: Optional[BasePydanticVectorStore] = Field(
description="Vector store to use to store the data"
)
@@ -186,34 +234,287 @@ class IngestionPipeline(BaseModel):
)
disable_cache: bool = Field(default=False, description="Disable the cache")
+ base_url: str = Field(
+ default=DEFAULT_BASE_URL, description="Base URL for the LlamaCloud API"
+ )
+ app_url: str = Field(
+ default=DEFAULT_APP_URL, description="Base URL for the LlamaCloud app"
+ )
+ api_key: Optional[str] = Field(default=None, description="LlamaCloud API key")
+
class Config:
arbitrary_types_allowed = True
def __init__(
self,
+ name: str = DEFAULT_PIPELINE_NAME,
+ project_name: str = DEFAULT_PROJECT_NAME,
transformations: Optional[List[TransformComponent]] = None,
- reader: Optional[ReaderConfig] = None,
+ readers: Optional[List[ReaderConfig]] = None,
documents: Optional[Sequence[Document]] = None,
vector_store: Optional[BasePydanticVectorStore] = None,
cache: Optional[IngestionCache] = None,
docstore: Optional[BaseDocumentStore] = None,
docstore_strategy: DocstoreStrategy = DocstoreStrategy.UPSERTS,
+ base_url: Optional[str] = None,
+ app_url: Optional[str] = None,
+ api_key: Optional[str] = None,
disable_cache: bool = False,
) -> None:
if transformations is None:
transformations = self._get_default_transformations()
+ api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY", None)
+
super().__init__(
+ name=name,
+ project_name=project_name,
transformations=transformations,
- reader=reader,
+ readers=readers,
documents=documents,
vector_store=vector_store,
cache=cache or IngestionCache(),
docstore=docstore,
docstore_strategy=docstore_strategy,
+ base_url=base_url or DEFAULT_BASE_URL,
+ app_url=app_url or DEFAULT_APP_URL,
+ api_key=api_key,
+ disable_cache=disable_cache,
+ )
+
+ @classmethod
+ def from_pipeline_name(
+ cls,
+ name: str,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ base_url: Optional[str] = None,
+ cache: Optional[IngestionCache] = None,
+ api_key: Optional[str] = None,
+ app_url: Optional[str] = None,
+ vector_store: Optional[BasePydanticVectorStore] = None,
+ disable_cache: bool = False,
+ ) -> "IngestionPipeline":
+ base_url = base_url or os.environ.get("LLAMA_CLOUD_BASE_URL", DEFAULT_BASE_URL)
+ assert base_url is not None
+
+ api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY", None)
+ app_url = app_url or os.environ.get("LLAMA_CLOUD_APP_URL", None)
+
+ client = PlatformApi(base_url=base_url, token=api_key)
+
+ projects: List[Project] = client.project.list_projects(
+ project_name=project_name
+ )
+ if len(projects) < 0:
+ raise ValueError(f"Project with name {project_name} not found")
+
+ project = projects[0]
+ assert project.id is not None, "Project ID should not be None"
+
+ pipelines: List[Pipeline] = client.pipeline.search_pipelines(
+ project_name=project_name, pipeline_name=name
+ )
+ if len(pipelines) < 0:
+ raise ValueError(f"Pipeline with name {name} not found")
+
+ pipeline = pipelines[0]
+
+ transformations: List[TransformComponent] = []
+ for configured_transformation in pipeline.configured_transformations:
+ component_dict = cast(dict, configured_transformation.component)
+ transformation_component_type = (
+ configured_transformation.configurable_transformation_type
+ )
+ transformation = deserialize_transformation_component(
+ component_dict, transformation_component_type
+ )
+ transformations.append(transformation)
+
+ documents = []
+ readers = []
+ for data_source in pipeline.data_sources:
+ component_dict = cast(dict, data_source.component)
+ source_component_type = data_source.source_type
+
+ if data_source.source_type == ConfigurableDataSourceNames.READER:
+ source_component = deserialize_source_component(
+ component_dict, source_component_type
+ )
+ readers.append(source_component)
+ elif data_source.source_type == ConfigurableDataSourceNames.DOCUMENT:
+ source_component = deserialize_source_component(
+ component_dict, source_component_type
+ )
+ if (
+ isinstance(source_component, BaseNode)
+ and source_component.get_content()
+ ):
+ documents.append(source_component)
+
+ return cls(
+ name=name,
+ project_name=project_name,
+ transformations=transformations,
+ readers=readers,
+ documents=documents,
+ vector_store=vector_store,
+ base_url=base_url,
+ cache=cache,
disable_cache=disable_cache,
+ api_key=api_key,
+ app_url=app_url,
)
+ @classmethod
+ def from_pipeline_name(
+ cls,
+ name: str,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ base_url: Optional[str] = None,
+ cache: Optional[IngestionCache] = None,
+ api_key: Optional[str] = None,
+ app_url: Optional[str] = None,
+ vector_store: Optional[BasePydanticVectorStore] = None,
+ disable_cache: bool = False,
+ ) -> "IngestionPipeline":
+ base_url = base_url or os.environ.get("LLAMA_CLOUD_BASE_URL", DEFAULT_BASE_URL)
+ assert base_url is not None
+
+ api_key = api_key or os.environ.get("LLAMA_CLOUD_API_KEY", None)
+ app_url = app_url or os.environ.get("LLAMA_CLOUD_APP_URL", None)
+
+ client = PlatformApi(base_url=base_url, token=api_key)
+
+ projects: List[Project] = client.project.list_projects(
+ project_name=project_name
+ )
+ if len(projects) < 0:
+ raise ValueError(f"Project with name {project_name} not found")
+
+ project = projects[0]
+ assert project.id is not None, "Project ID should not be None"
+
+ pipelines: List[Pipeline] = client.pipeline.search_pipelines(
+ project_name=project_name, pipeline_name=name
+ )
+ if len(pipelines) < 0:
+ raise ValueError(f"Pipeline with name {name} not found")
+
+ pipeline = pipelines[0]
+
+ transformations: List[TransformComponent] = []
+ for configured_transformation in pipeline.configured_transformations:
+ component_dict = cast(dict, configured_transformation.component)
+ transformation_component_type = (
+ configured_transformation.configurable_transformation_type
+ )
+ transformation = deserialize_transformation_component(
+ component_dict, transformation_component_type
+ )
+ transformations.append(transformation)
+
+ documents = []
+ readers = []
+ for data_source in pipeline.data_sources:
+ component_dict = cast(dict, data_source.component)
+ source_component_type = data_source.source_type
+
+ if data_source.source_type == ConfigurableDataSourceNames.READER:
+ source_component = deserialize_source_component(
+ component_dict, source_component_type
+ )
+ readers.append(source_component)
+ elif data_source.source_type == ConfigurableDataSourceNames.DOCUMENT:
+ source_component = deserialize_source_component(
+ component_dict, source_component_type
+ )
+ if (
+ isinstance(source_component, BaseNode)
+ and source_component.get_content()
+ ):
+ documents.append(source_component)
+
+ return cls(
+ name=name,
+ project_name=project_name,
+ transformations=transformations,
+ readers=readers,
+ documents=documents,
+ vector_store=vector_store,
+ base_url=base_url,
+ cache=cache,
+ disable_cache=disable_cache,
+ api_key=api_key,
+ app_url=app_url,
+ )
+
+ def register(
+ self,
+ verbose: bool = True,
+ documents: Optional[List[Document]] = None,
+ nodes: Optional[List[BaseNode]] = None,
+ ) -> str:
+ client = PlatformApi(base_url=self.base_url, token=self.api_key)
+
+ input_nodes = self._prepare_inputs(documents, nodes)
+
+ project = client.project.upsert_project(
+ request=ProjectCreate(name=self.project_name)
+ )
+ assert project.id is not None, "Project ID should not be None"
+
+ # avoid circular import
+ from llama_index.core.ingestion.api_utils import get_pipeline_create
+
+ pipeline_create = get_pipeline_create(
+ self.name,
+ client,
+ PipelineType.PLAYGROUND,
+ project_name=self.project_name,
+ transformations=self.transformations,
+ input_nodes=input_nodes,
+ readers=self.readers,
+ )
+
+ # upload
+ pipeline = client.project.upsert_pipeline_for_project(
+ project.id,
+ request=pipeline_create,
+ )
+ assert pipeline.id is not None, "Pipeline ID should not be None"
+
+ # Print playground URL if not running remote
+ if verbose:
+ print(
+ f"Pipeline available at: {self.app_url}/project/{project.id}/playground/{pipeline.id}"
+ )
+
+ return pipeline.id
+
+ def run_remote(
+ self,
+ documents: Optional[List[Document]] = None,
+ nodes: Optional[List[BaseNode]] = None,
+ ) -> str:
+ client = PlatformApi(base_url=self.base_url, token=self.api_key)
+
+ pipeline_id = self.register(documents=documents, nodes=nodes, verbose=False)
+
+ # start pipeline?
+ # the `PipeLineExecution` object should likely generate a URL at some point
+ pipeline_execution = client.pipeline.create_playground_job(pipeline_id)
+
+ assert (
+ pipeline_execution.id is not None
+ ), "Pipeline execution ID should not be None"
+
+ print(
+ f"Find your remote results here: {self.app_url}/"
+ f"pipelines/execution?id={pipeline_execution.id}"
+ )
+
+ return pipeline_execution.id
+
def persist(
self,
persist_dir: str = "./pipeline_storage",
@@ -278,8 +579,9 @@ class IngestionPipeline(BaseModel):
if self.documents is not None:
input_nodes += self.documents
- if self.reader is not None:
- input_nodes += self.reader.read()
+ if self.readers is not None:
+ for reader in self.readers:
+ input_nodes += reader.read()
return input_nodes
diff --git a/llama-index-core/llama_index/core/ingestion/transformations.py b/llama-index-core/llama_index/core/ingestion/transformations.py
new file mode 100644
index 0000000000..b9d21490ee
--- /dev/null
+++ b/llama-index-core/llama_index/core/ingestion/transformations.py
@@ -0,0 +1,346 @@
+"""
+This module maintains the list of transformations that are supported by the system.
+"""
+
+from enum import Enum
+from typing import Generic, Sequence, Type, TypeVar
+
+from llama_index.core.bridge.pydantic import BaseModel, Field, GenericModel
+from llama_index.core.extractors import (
+ KeywordExtractor,
+ QuestionsAnsweredExtractor,
+ SummaryExtractor,
+ TitleExtractor,
+)
+from llama_index.core.node_parser import (
+ CodeSplitter,
+ HTMLNodeParser,
+ JSONNodeParser,
+ MarkdownNodeParser,
+ SentenceSplitter,
+ SimpleFileNodeParser,
+ TokenTextSplitter,
+)
+from llama_index.core.schema import BaseComponent, BaseNode, Document
+
+
+# Transform Input/Output Types
+class TransformationIOType(BaseModel):
+ name: str = Field(description="Name of the input/output type")
+ description: str = Field(description="Description of the input/output type")
+ python_type: str = Field(description="Python type of the input/output type")
+
+
+class TransformationIOTypes(Enum):
+ DOCUMENTS = TransformationIOType(
+ name="Documents",
+ description="A sequence of Documents",
+ python_type=str(Sequence[Document]),
+ )
+ NODES = TransformationIOType(
+ name="Nodes",
+ description="A sequence of Nodes from a sequence of Documents",
+ python_type=str(Sequence[BaseNode]),
+ )
+
+
+class TransformationCategory(BaseModel):
+ """A description for a category of transformation within a pipeline."""
+
+ name: str = Field(description="Unique name of the type of transformation")
+ description: str = Field(description="Description for the type of transformation")
+ input_type: TransformationIOType = Field(
+ description="Input type for the transformation type"
+ )
+ output_type: TransformationIOType = Field(
+ description="Output type for the transformation type"
+ )
+
+
+class TransformationCategories(Enum):
+ """Supported transformation categories."""
+
+ METADATA_EXTRACTOR = TransformationCategory(
+ name="MetadataExtractor",
+ description="Applies a function to extract metadata from nodes",
+ input_type=TransformationIOTypes.NODES.value,
+ output_type=TransformationIOTypes.NODES.value,
+ )
+ NODE_PARSER = TransformationCategory(
+ name="NodeParser",
+ description="Applies a function to parse nodes from documents",
+ input_type=TransformationIOTypes.DOCUMENTS.value,
+ output_type=TransformationIOTypes.NODES.value,
+ )
+ EMBEDDING = TransformationCategory(
+ name="Embedding",
+ description="Applies a function to embed nodes",
+ input_type=TransformationIOTypes.NODES.value,
+ output_type=TransformationIOTypes.NODES.value,
+ )
+
+
+class ConfigurableTransformation(BaseModel):
+ """
+ A class containing metadata for a type of transformation that can be in a pipeline.
+ """
+
+ name: str = Field(
+ description="Unique and human-readable name for the type of transformation"
+ )
+ transformation_category: TransformationCategories = Field(
+ description="Type of transformation"
+ )
+ component_type: Type[BaseComponent] = Field(
+ description="Type of component that implements the transformation"
+ )
+
+
+def build_configurable_transformation_enum():
+ """
+ Build an enum of configurable transformations.
+ But conditional on if the corresponding component is available.
+ """
+
+ class ConfigurableComponent(Enum):
+ @classmethod
+ def from_component(
+ cls, component: BaseComponent
+ ) -> "ConfigurableTransformations":
+ component_class = type(component)
+ for component_type in cls:
+ if component_type.value.component_type == component_class:
+ return component_type
+ raise ValueError(
+ f"Component {component} is not a supported transformation component."
+ )
+
+ def build_configured_transformation(
+ self, component: BaseComponent
+ ) -> "ConfiguredTransformation":
+ component_type = self.value.component_type
+ if not isinstance(component, component_type):
+ raise ValueError(
+ f"The enum value {self} is not compatible with component of "
+ f"type {type(component)}"
+ )
+ return ConfiguredTransformation[component_type]( # type: ignore
+ component=component, name=self.value.name
+ )
+
+ enum_members = []
+
+ # Metadata extractors
+ enum_members.append(
+ (
+ "KEYWORD_EXTRACTOR",
+ ConfigurableTransformation(
+ name="Keyword Extractor",
+ transformation_category=TransformationCategories.METADATA_EXTRACTOR,
+ component_type=KeywordExtractor,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "TITLE_EXTRACTOR",
+ ConfigurableTransformation(
+ name="Title Extractor",
+ transformation_category=TransformationCategories.METADATA_EXTRACTOR,
+ component_type=TitleExtractor,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "SUMMARY_EXTRACTOR",
+ ConfigurableTransformation(
+ name="Summary Extractor",
+ transformation_category=TransformationCategories.METADATA_EXTRACTOR,
+ component_type=SummaryExtractor,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "QUESTIONS_ANSWERED_EXTRACTOR",
+ ConfigurableTransformation(
+ name="Questions Answered Extractor",
+ transformation_category=TransformationCategories.METADATA_EXTRACTOR,
+ component_type=QuestionsAnsweredExtractor,
+ ),
+ )
+ )
+
+ # Node parsers
+ enum_members.append(
+ (
+ "CODE_NODE_PARSER",
+ ConfigurableTransformation(
+ name="Code Splitter",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=CodeSplitter,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "SENTENCE_AWARE_NODE_PARSER",
+ ConfigurableTransformation(
+ name="Sentence Splitter",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=SentenceSplitter,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "TOKEN_AWARE_NODE_PARSER",
+ ConfigurableTransformation(
+ name="Token Text Splitter",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=TokenTextSplitter,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "HTML_NODE_PARSER",
+ ConfigurableTransformation(
+ name="HTML Node Parser",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=HTMLNodeParser,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "MARKDOWN_NODE_PARSER",
+ ConfigurableTransformation(
+ name="Markdown Node Parser",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=MarkdownNodeParser,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "JSON_NODE_PARSER",
+ ConfigurableTransformation(
+ name="JSON Node Parser",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=JSONNodeParser,
+ ),
+ )
+ )
+
+ enum_members.append(
+ (
+ "SIMPLE_FILE_NODE_PARSER",
+ ConfigurableTransformation(
+ name="Simple File Node Parser",
+ transformation_category=TransformationCategories.NODE_PARSER,
+ component_type=SimpleFileNodeParser,
+ ),
+ )
+ )
+
+ # Embeddings
+ try:
+ from llama_index.embeddings.openai import OpenAIEmbedding # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "OPENAI_EMBEDDING",
+ ConfigurableTransformation(
+ name="OpenAI Embedding",
+ transformation_category=TransformationCategories.EMBEDDING,
+ component_type=OpenAIEmbedding,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.embeddings.azure_openai import (
+ AzureOpenAIEmbedding,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "AZURE_EMBEDDING",
+ ConfigurableTransformation(
+ name="Azure OpenAI Embedding",
+ transformation_category=TransformationCategories.EMBEDDING,
+ component_type=AzureOpenAIEmbedding,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ try:
+ from llama_index.embeddings.huggingface import (
+ HuggingFaceInferenceAPIEmbedding,
+ ) # pants: no-infer-dep
+
+ enum_members.append(
+ (
+ "HUGGINGFACE_API_EMBEDDING",
+ ConfigurableTransformation(
+ name="HuggingFace API Embedding",
+ transformation_category=TransformationCategories.EMBEDDING,
+ component_type=HuggingFaceInferenceAPIEmbedding,
+ ),
+ )
+ )
+ except ImportError:
+ pass
+
+ return ConfigurableComponent("ConfigurableTransformations", enum_members)
+
+
+ConfigurableTransformations = build_configurable_transformation_enum()
+
+T = TypeVar("T", bound=BaseComponent)
+
+
+class ConfiguredTransformation(GenericModel, Generic[T]):
+ """
+ A class containing metadata & implementation for a transformation in a pipeline.
+ """
+
+ name: str
+ component: T = Field(description="Component that implements the transformation")
+
+ @classmethod
+ def from_component(cls, component: BaseComponent) -> "ConfiguredTransformation":
+ """
+ Build a ConfiguredTransformation from a component.
+
+ This should be the preferred way to build a ConfiguredTransformation
+ as it will ensure that the component is supported as indicated by having a
+ corresponding enum value in ConfigurableTransformations.
+
+ This has the added bonus that you don't need to specify the generic type
+ like ConfiguredTransformation[SentenceSplitter]. The return value of
+ this ConfiguredTransformation.from_component(simple_node_parser) will be
+ ConfiguredTransformation[SentenceSplitter] if simple_node_parser is
+ a SentenceSplitter.
+ """
+ return ConfigurableTransformations.from_component(
+ component
+ ).build_configured_transformation(component)
+
+ @property
+ def configurable_transformation_type(self) -> ConfigurableTransformations:
+ return ConfigurableTransformations.from_component(self.component)
diff --git a/llama-index-core/llama_index/core/llms/llm.py b/llama-index-core/llama_index/core/llms/llm.py
index 2244b2bef2..658cbb727c 100644
--- a/llama-index-core/llama_index/core/llms/llm.py
+++ b/llama-index-core/llama_index/core/llms/llm.py
@@ -1,6 +1,7 @@
from collections import ChainMap
from typing import (
Any,
+ Callable,
Dict,
List,
Optional,
@@ -25,7 +26,12 @@ from llama_index.core.base.query_pipeline.query import (
StringableInput,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field, validator
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ Field,
+ root_validator,
+ validator,
+)
from llama_index.core.callbacks import CBEventType, EventPayload
from llama_index.core.llms.base import BaseLLM
from llama_index.core.llms.generic_utils import (
@@ -112,14 +118,14 @@ class LLM(BaseLLM):
system_prompt: Optional[str] = Field(
default=None, description="System prompt for LLM calls."
)
- messages_to_prompt: MessagesToPromptType = Field(
+ messages_to_prompt: Callable = Field(
description="Function to convert a list of messages to an LLM prompt.",
- default=generic_messages_to_prompt,
+ default=None,
exclude=True,
)
- completion_to_prompt: CompletionToPromptType = Field(
+ completion_to_prompt: Callable = Field(
description="Function to convert a completion to an LLM prompt.",
- default=default_completion_to_prompt,
+ default=None,
exclude=True,
)
output_parser: Optional[BaseOutputParser] = Field(
@@ -148,6 +154,14 @@ class LLM(BaseLLM):
) -> CompletionToPromptType:
return completion_to_prompt or default_completion_to_prompt
+ @root_validator
+ def check_prompts(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+ if values.get("completion_to_prompt") is None:
+ values["completion_to_prompt"] = default_completion_to_prompt
+ if values.get("messages_to_prompt") is None:
+ values["messages_to_prompt"] = generic_messages_to_prompt
+ return values
+
def _log_template_data(
self, prompt: BasePromptTemplate, **prompt_args: Any
) -> None:
diff --git a/llama-index-core/llama_index/core/node_parser/interface.py b/llama-index-core/llama_index/core/node_parser/interface.py
index bf450cb156..e7ca5b13aa 100644
--- a/llama-index-core/llama_index/core/node_parser/interface.py
+++ b/llama-index-core/llama_index/core/node_parser/interface.py
@@ -1,11 +1,10 @@
"""Node parser interface."""
from abc import ABC, abstractmethod
-from typing import Any, List, Sequence
+from typing import Any, Callable, List, Sequence
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, validator
from llama_index.core.callbacks import CallbackManager, CBEventType, EventPayload
from llama_index.core.node_parser.node_utils import (
- IdFuncCallable,
build_nodes_from_splits,
default_id_func,
)
@@ -31,14 +30,21 @@ class NodeParser(TransformComponent, ABC):
callback_manager: CallbackManager = Field(
default_factory=CallbackManager, exclude=True
)
- id_func: IdFuncCallable = Field(
- default=default_id_func,
+ id_func: Callable = Field(
+ default=None,
description="Function to generate node IDs.",
+ exclude=True,
)
class Config:
arbitrary_types_allowed = True
+ @validator("id_func", pre=True)
+ def _validate_id_func(cls, v: Any) -> Any:
+ if v is None:
+ return default_id_func
+ return v
+
@abstractmethod
def _parse_nodes(
self,
diff --git a/llama-index-core/llama_index/core/node_parser/text/utils.py b/llama-index-core/llama_index/core/node_parser/text/utils.py
index 11e250177a..91ca6556f1 100644
--- a/llama-index-core/llama_index/core/node_parser/text/utils.py
+++ b/llama-index-core/llama_index/core/node_parser/text/utils.py
@@ -5,8 +5,6 @@ from llama_index.core.node_parser.interface import TextSplitter
logger = logging.getLogger(__name__)
-logger = logging.getLogger(__name__)
-
def truncate_text(text: str, text_splitter: TextSplitter) -> str:
"""Truncate text to fit within the chunk size."""
diff --git a/llama-index-core/llama_index/core/program/utils.py b/llama-index-core/llama_index/core/program/utils.py
index 01fdb34849..fa60e5734b 100644
--- a/llama-index-core/llama_index/core/program/utils.py
+++ b/llama-index-core/llama_index/core/program/utils.py
@@ -70,7 +70,9 @@ def get_program_for_llm(
**kwargs,
)
elif pydantic_program_mode == PydanticProgramMode.OPENAI:
- from llama_index.core.program.openai_program import OpenAIPydanticProgram
+ from llama_index.program.openai import (
+ OpenAIPydanticProgram,
+ ) # pants: no-infer-dep
return OpenAIPydanticProgram.from_defaults(
output_cls=output_cls,
diff --git a/llama-index-core/llama_index/core/prompts/base.py b/llama-index-core/llama_index/core/prompts/base.py
index 326d48dc69..4c3089b0b4 100644
--- a/llama-index-core/llama_index/core/prompts/base.py
+++ b/llama-index-core/llama_index/core/prompts/base.py
@@ -451,7 +451,7 @@ class LangchainPromptTemplate(BasePromptTemplate):
def format(self, llm: Optional[BaseLLM] = None, **kwargs: Any) -> str:
"""Format the prompt into a string."""
- from llama_index.llms.langchain import LangChainLLM
+ from llama_index.llms.langchain import LangChainLLM # pants: no-infer-dep
if llm is not None:
# if llamaindex LLM is provided, and we require a langchain LLM,
@@ -474,8 +474,10 @@ class LangchainPromptTemplate(BasePromptTemplate):
self, llm: Optional[BaseLLM] = None, **kwargs: Any
) -> List[ChatMessage]:
"""Format the prompt into a list of chat messages."""
- from llama_index.llms.langchain import LangChainLLM
- from llama_index.llms.langchain.utils import from_lc_messages
+ from llama_index.llms.langchain import LangChainLLM # pants: no-infer-dep
+ from llama_index.llms.langchain.utils import (
+ from_lc_messages,
+ ) # pants: no-infer-dep
if llm is not None:
# if llamaindex LLM is provided, and we require a langchain LLM,
@@ -497,7 +499,7 @@ class LangchainPromptTemplate(BasePromptTemplate):
return from_lc_messages(lc_messages)
def get_template(self, llm: Optional[BaseLLM] = None) -> str:
- from llama_index.llms.langchain import LangChainLLM
+ from llama_index.llms.langchain import LangChainLLM # pants: no-infer-dep
if llm is not None:
# if llamaindex LLM is provided, and we require a langchain LLM,
diff --git a/llama-index-core/llama_index/core/types.py b/llama-index-core/llama_index/core/types.py
index 1394d23f00..cfa9a0fa54 100644
--- a/llama-index-core/llama_index/core/types.py
+++ b/llama-index-core/llama_index/core/types.py
@@ -3,6 +3,7 @@ from enum import Enum
from typing import (
Any,
AsyncGenerator,
+ Dict,
Generator,
Generic,
List,
@@ -29,6 +30,11 @@ RESPONSE_TEXT_TYPE = Union[BaseModel, str, TokenGen]
class BaseOutputParser(Protocol):
"""Output parser class."""
+ @classmethod
+ def __modify_schema__(cls, schema: Dict[str, Any]) -> None:
+ """Avoids serialization issues."""
+ schema.update(type="object", default={})
+
@abstractmethod
def parse(self, output: str) -> Any:
"""Parse, validate, and correct errors programmatically."""
diff --git a/llama-index-core/poetry.lock b/llama-index-core/poetry.lock
index 49e802aaaf..83154184f2 100644
--- a/llama-index-core/poetry.lock
+++ b/llama-index-core/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "accelerate"
-version = "0.27.0"
+version = "0.27.2"
description = "Accelerate"
optional = true
python-versions = ">=3.8.0"
files = [
- {file = "accelerate-0.27.0-py3-none-any.whl", hash = "sha256:87eb754a1600a63d6fdbf8683603800388544456bfbdaaf622b89458005937de"},
- {file = "accelerate-0.27.0.tar.gz", hash = "sha256:8e8e34695dc34f6294d4209a617d5f934c9f88a3f26067aeee18e0568d3277a3"},
+ {file = "accelerate-0.27.2-py3-none-any.whl", hash = "sha256:a818dd27b9ba24e9eb5030d1b285cf4cdd1b41bbfa675fb4eb2477ddfc097074"},
+ {file = "accelerate-0.27.2.tar.gz", hash = "sha256:cc715fe9a8bc7a286259bfb6d65fb78363badd3371e7cbda4e4a4ef34a0010aa"},
]
[package.dependencies]
@@ -1572,13 +1572,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
[[package]]
name = "google-api-core"
-version = "2.17.0"
+version = "2.17.1"
description = "Google API client core library"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-api-core-2.17.0.tar.gz", hash = "sha256:de7ef0450faec7c75e0aea313f29ac870fdc44cfaec9d6499a9a17305980ef66"},
- {file = "google_api_core-2.17.0-py3-none-any.whl", hash = "sha256:08ed79ed8e93e329de5e3e7452746b734e6bf8438d8d64dd3319d21d3164890c"},
+ {file = "google-api-core-2.17.1.tar.gz", hash = "sha256:9df18a1f87ee0df0bc4eea2770ebc4228392d8cc4066655b320e2cfccb15db95"},
+ {file = "google_api_core-2.17.1-py3-none-any.whl", hash = "sha256:610c5b90092c360736baccf17bd3efbcb30dd380e7a6dc28a71059edb8bd0d8e"},
]
[package.dependencies]
@@ -1602,13 +1602,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]]
name = "google-auth"
-version = "2.27.0"
+version = "2.28.0"
description = "Google Authentication Library"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-auth-2.27.0.tar.gz", hash = "sha256:e863a56ccc2d8efa83df7a80272601e43487fa9a728a376205c86c26aaefa821"},
- {file = "google_auth-2.27.0-py2.py3-none-any.whl", hash = "sha256:8e4bad367015430ff253fe49d500fdc3396c1a434db5740828c728e45bcce245"},
+ {file = "google-auth-2.28.0.tar.gz", hash = "sha256:3cfc1b6e4e64797584fb53fc9bd0b7afa9b7c0dba2004fa7dcc9349e58cc3195"},
+ {file = "google_auth-2.28.0-py2.py3-none-any.whl", hash = "sha256:7634d29dcd1e101f5226a23cbc4a0c6cda6394253bf80e281d9c5c6797869c53"},
]
[package.dependencies]
@@ -1868,13 +1868,13 @@ files = [
[[package]]
name = "httpcore"
-version = "1.0.2"
+version = "1.0.3"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
- {file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
- {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
+ {file = "httpcore-1.0.3-py3-none-any.whl", hash = "sha256:9a6a501c3099307d9fd76ac244e08503427679b1e81ceb1d922485e2f2462ad2"},
+ {file = "httpcore-1.0.3.tar.gz", hash = "sha256:5c0f9546ad17dac4d0772b0808856eb616eb8b48ce94f49ed819fd6982a8a544"},
]
[package.dependencies]
@@ -1885,7 +1885,7 @@ h11 = ">=0.13,<0.15"
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
+trio = ["trio (>=0.22.0,<0.24.0)"]
[[package]]
name = "httpx"
@@ -2540,17 +2540,18 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
[[package]]
name = "jupyterlab"
-version = "4.0.12"
+version = "4.1.1"
description = "JupyterLab computational environment"
optional = false
python-versions = ">=3.8"
files = [
- {file = "jupyterlab-4.0.12-py3-none-any.whl", hash = "sha256:53f132480e5f6564f4e20d1b5ed4e8b7945952a2decd5bdfa43760b1b536c99d"},
- {file = "jupyterlab-4.0.12.tar.gz", hash = "sha256:965d92efa82a538ed70ccb3968d9aabba788840da882e13d7b061780cdedc3b7"},
+ {file = "jupyterlab-4.1.1-py3-none-any.whl", hash = "sha256:fa3e8c18b804eac04e51ceebd9dd3dd396e08106816f0d09cc426799d7087632"},
+ {file = "jupyterlab-4.1.1.tar.gz", hash = "sha256:8acc9f561729d8f32c14c294c397917cddfeeb13a5d46f811979b71b4911a9fd"},
]
[package.dependencies]
async-lru = ">=1.0.0"
+httpx = ">=0.25.0"
importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
importlib-resources = {version = ">=1.4", markers = "python_version < \"3.9\""}
ipykernel = "*"
@@ -2566,9 +2567,9 @@ tornado = ">=6.2.0"
traitlets = "*"
[package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
-docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
-docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.2.0)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.2.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.1)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post6)", "matplotlib (==3.8.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.0)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
[[package]]
@@ -2584,13 +2585,13 @@ files = [
[[package]]
name = "jupyterlab-server"
-version = "2.25.2"
+version = "2.25.3"
description = "A set of server components for JupyterLab and JupyterLab like applications."
optional = false
python-versions = ">=3.8"
files = [
- {file = "jupyterlab_server-2.25.2-py3-none-any.whl", hash = "sha256:5b1798c9cc6a44f65c757de9f97fc06fc3d42535afbf47d2ace5e964ab447aaf"},
- {file = "jupyterlab_server-2.25.2.tar.gz", hash = "sha256:bd0ec7a99ebcedc8bcff939ef86e52c378e44c2707e053fcd81d046ce979ee63"},
+ {file = "jupyterlab_server-2.25.3-py3-none-any.whl", hash = "sha256:c48862519fded9b418c71645d85a49b2f0ec50d032ba8316738e9276046088c1"},
+ {file = "jupyterlab_server-2.25.3.tar.gz", hash = "sha256:846f125a8a19656611df5b03e5912c8393cea6900859baa64fa515eb64a8dc40"},
]
[package.dependencies]
@@ -2621,13 +2622,13 @@ files = [
[[package]]
name = "langchain"
-version = "0.1.6"
+version = "0.1.7"
description = "Building applications with LLMs through composability"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
- {file = "langchain-0.1.6-py3-none-any.whl", hash = "sha256:925e180fd1ae53b7085e46b3cdc9db04c24ddc6f4ac08f171eea29498d99603a"},
- {file = "langchain-0.1.6.tar.gz", hash = "sha256:a885e16c10b9ed11f312eaa6570bc48d27305362b26f6c235cafdcc794e26e71"},
+ {file = "langchain-0.1.7-py3-none-any.whl", hash = "sha256:29d95f12afe9690953820970205dba3b098ee1f7531e80eb18c1236d3feda921"},
+ {file = "langchain-0.1.7.tar.gz", hash = "sha256:b40fbe2b65360afe6c0d5bbf37e79469f990779460640edde5b906175c49807e"},
]
[package.dependencies]
@@ -2635,7 +2636,7 @@ aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
dataclasses-json = ">=0.5.7,<0.7"
jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.18,<0.1"
+langchain-community = ">=0.0.20,<0.1"
langchain-core = ">=0.1.22,<0.2"
langsmith = ">=0.0.83,<0.1"
numpy = ">=1,<2"
@@ -2661,13 +2662,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-community"
-version = "0.0.19"
+version = "0.0.20"
description = "Community contributed LangChain integrations."
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
- {file = "langchain_community-0.0.19-py3-none-any.whl", hash = "sha256:ebff8daa0110d53555f4963f1f739b85f9ca63ef82598ece5f5c3f73fe0aa82e"},
- {file = "langchain_community-0.0.19.tar.gz", hash = "sha256:5d18ad9e188b10aaba6361fb2a747cf29b64b21ffb8061933fec090187ca39c2"},
+ {file = "langchain_community-0.0.20-py3-none-any.whl", hash = "sha256:bd112b5813702919c50f89b1afa2b63adf1da89999df4842b327ee11220f8c39"},
+ {file = "langchain_community-0.0.20.tar.gz", hash = "sha256:c56c48bc77d24e1fc399a9ee9a637d96e3b2ff952e3a080b5a41820d9d00fb3c"},
]
[package.dependencies]
@@ -2683,17 +2684,17 @@ tenacity = ">=8.1.0,<9.0.0"
[package.extras]
cli = ["typer (>=0.9.0,<0.10.0)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)", "zhipuai (>=1.0.7,<2.0.0)"]
+extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)", "zhipuai (>=1.0.7,<2.0.0)"]
[[package]]
name = "langchain-core"
-version = "0.1.22"
+version = "0.1.23"
description = "Building applications with LLMs through composability"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
- {file = "langchain_core-0.1.22-py3-none-any.whl", hash = "sha256:d1263c2707ce18bb13654c88f891e53f39edec9b11ff7d0d0f23fd920927b2d6"},
- {file = "langchain_core-0.1.22.tar.gz", hash = "sha256:deac12b3e42a08bbbaa2acf83d5f8dd2d5513256d8daf0e853e9d68ff4c99d79"},
+ {file = "langchain_core-0.1.23-py3-none-any.whl", hash = "sha256:d42fac013c39a8b0bcd7e337a4cb6c17c16046c60d768f89df582ad73ec3c5cb"},
+ {file = "langchain_core-0.1.23.tar.gz", hash = "sha256:34359cc8b6f8c3d45098c54a6a9b35c9f538ef58329cd943a2249d6d7b4e5806"},
]
[package.dependencies]
@@ -2799,6 +2800,21 @@ files = [
six = "*"
tornado = {version = "*", markers = "python_version > \"2.7\""}
+[[package]]
+name = "llamaindex-py-client"
+version = "0.1.12"
+description = ""
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+ {file = "llamaindex_py_client-0.1.12-py3-none-any.whl", hash = "sha256:7e6008cf9dad6548340be579bbacf3177119a7a971bc60ce20a68c1a1f3242c7"},
+ {file = "llamaindex_py_client-0.1.12.tar.gz", hash = "sha256:32e025240553f31a968c075d518f81879d05c9e44986003c37502024bb95d035"},
+]
+
+[package.dependencies]
+httpx = ">=0.20.0"
+pydantic = ">=1.10"
+
[[package]]
name = "lm-format-enforcer"
version = "0.4.3"
@@ -2821,7 +2837,6 @@ description = "Powerful and Pythonic XML processing library combining libxml2/li
optional = false
python-versions = ">=3.6"
files = [
- {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:704f5572ff473a5f897745abebc6df40f22d4133c1e0a1f124e4f2bd3330ff7e"},
{file = "lxml-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9d3c0f8567ffe7502d969c2c1b809892dc793b5d0665f602aad19895f8d508da"},
{file = "lxml-5.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5fcfbebdb0c5d8d18b84118842f31965d59ee3e66996ac842e21f957eb76138c"},
{file = "lxml-5.1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2f37c6d7106a9d6f0708d4e164b707037b7380fcd0b04c5bd9cae1fb46a856fb"},
@@ -2831,7 +2846,6 @@ files = [
{file = "lxml-5.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:82bddf0e72cb2af3cbba7cec1d2fd11fda0de6be8f4492223d4a268713ef2147"},
{file = "lxml-5.1.0-cp310-cp310-win32.whl", hash = "sha256:b66aa6357b265670bb574f050ffceefb98549c721cf28351b748be1ef9577d93"},
{file = "lxml-5.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:4946e7f59b7b6a9e27bef34422f645e9a368cb2be11bf1ef3cafc39a1f6ba68d"},
- {file = "lxml-5.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:14deca1460b4b0f6b01f1ddc9557704e8b365f55c63070463f6c18619ebf964f"},
{file = "lxml-5.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ed8c3d2cd329bf779b7ed38db176738f3f8be637bb395ce9629fc76f78afe3d4"},
{file = "lxml-5.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:436a943c2900bb98123b06437cdd30580a61340fbdb7b28aaf345a459c19046a"},
{file = "lxml-5.1.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:acb6b2f96f60f70e7f34efe0c3ea34ca63f19ca63ce90019c6cbca6b676e81fa"},
@@ -2841,7 +2855,6 @@ files = [
{file = "lxml-5.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f4c9bda132ad108b387c33fabfea47866af87f4ea6ffb79418004f0521e63204"},
{file = "lxml-5.1.0-cp311-cp311-win32.whl", hash = "sha256:bc64d1b1dab08f679fb89c368f4c05693f58a9faf744c4d390d7ed1d8223869b"},
{file = "lxml-5.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:a5ab722ae5a873d8dcee1f5f45ddd93c34210aed44ff2dc643b5025981908cda"},
- {file = "lxml-5.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:9aa543980ab1fbf1720969af1d99095a548ea42e00361e727c58a40832439114"},
{file = "lxml-5.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6f11b77ec0979f7e4dc5ae081325a2946f1fe424148d3945f943ceaede98adb8"},
{file = "lxml-5.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a36c506e5f8aeb40680491d39ed94670487ce6614b9d27cabe45d94cd5d63e1e"},
{file = "lxml-5.1.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f643ffd2669ffd4b5a3e9b41c909b72b2a1d5e4915da90a77e119b8d48ce867a"},
@@ -2867,8 +2880,8 @@ files = [
{file = "lxml-5.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8f52fe6859b9db71ee609b0c0a70fea5f1e71c3462ecf144ca800d3f434f0764"},
{file = "lxml-5.1.0-cp37-cp37m-win32.whl", hash = "sha256:d42e3a3fc18acc88b838efded0e6ec3edf3e328a58c68fbd36a7263a874906c8"},
{file = "lxml-5.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:eac68f96539b32fce2c9b47eb7c25bb2582bdaf1bbb360d25f564ee9e04c542b"},
- {file = "lxml-5.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ae15347a88cf8af0949a9872b57a320d2605ae069bcdf047677318bc0bba45b1"},
{file = "lxml-5.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c26aab6ea9c54d3bed716b8851c8bfc40cb249b8e9880e250d1eddde9f709bf5"},
+ {file = "lxml-5.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cfbac9f6149174f76df7e08c2e28b19d74aed90cad60383ad8671d3af7d0502f"},
{file = "lxml-5.1.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:342e95bddec3a698ac24378d61996b3ee5ba9acfeb253986002ac53c9a5f6f84"},
{file = "lxml-5.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:725e171e0b99a66ec8605ac77fa12239dbe061482ac854d25720e2294652eeaa"},
{file = "lxml-5.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d184e0d5c918cff04cdde9dbdf9600e960161d773666958c9d7b565ccc60c45"},
@@ -2876,7 +2889,6 @@ files = [
{file = "lxml-5.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6d48fc57e7c1e3df57be5ae8614bab6d4e7b60f65c5457915c26892c41afc59e"},
{file = "lxml-5.1.0-cp38-cp38-win32.whl", hash = "sha256:7ec465e6549ed97e9f1e5ed51c657c9ede767bc1c11552f7f4d022c4df4a977a"},
{file = "lxml-5.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:b21b4031b53d25b0858d4e124f2f9131ffc1530431c6d1321805c90da78388d1"},
- {file = "lxml-5.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:52427a7eadc98f9e62cb1368a5079ae826f94f05755d2d567d93ee1bc3ceb354"},
{file = "lxml-5.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6a2a2c724d97c1eb8cf966b16ca2915566a4904b9aad2ed9a09c748ffe14f969"},
{file = "lxml-5.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:843b9c835580d52828d8f69ea4302537337a21e6b4f1ec711a52241ba4a824f3"},
{file = "lxml-5.1.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9b99f564659cfa704a2dd82d0684207b1aadf7d02d33e54845f9fc78e06b7581"},
@@ -3595,18 +3607,18 @@ setuptools = "*"
[[package]]
name = "notebook"
-version = "7.0.8"
+version = "7.1.0"
description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
optional = false
python-versions = ">=3.8"
files = [
- {file = "notebook-7.0.8-py3-none-any.whl", hash = "sha256:7f421b3fd46a17d91830e724b94e8e9ae922af152ebfd48b1e13ae4a07d8193c"},
- {file = "notebook-7.0.8.tar.gz", hash = "sha256:3957ecd956056b0014677afc76d3bb44c2d2f29649f87b24d13606ff1d18938f"},
+ {file = "notebook-7.1.0-py3-none-any.whl", hash = "sha256:a8fa4ccb5e5fe220f29d9900337efd7752bc6f2efe004d6f320db01f7743adc9"},
+ {file = "notebook-7.1.0.tar.gz", hash = "sha256:99caf01ff166b1cc86355c9b37c1ba9bf566c1d7fc4ab57bb6f8f24e36c4260e"},
]
[package.dependencies]
jupyter-server = ">=2.4.0,<3"
-jupyterlab = ">=4.0.2,<4.1"
+jupyterlab = ">=4.1.1,<4.2"
jupyterlab-server = ">=2.22.1,<3"
notebook-shim = ">=0.2,<0.3"
tornado = ">=6.2.0"
@@ -3618,13 +3630,13 @@ test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4
[[package]]
name = "notebook-shim"
-version = "0.2.3"
+version = "0.2.4"
description = "A shim layer for notebook traits and config"
optional = false
python-versions = ">=3.7"
files = [
- {file = "notebook_shim-0.2.3-py3-none-any.whl", hash = "sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7"},
- {file = "notebook_shim-0.2.3.tar.gz", hash = "sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9"},
+ {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"},
+ {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"},
]
[package.dependencies]
@@ -4335,13 +4347,13 @@ murmurhash = ">=0.28.0,<1.1.0"
[[package]]
name = "prometheus-client"
-version = "0.19.0"
+version = "0.20.0"
description = "Python client for the Prometheus monitoring system."
optional = false
python-versions = ">=3.8"
files = [
- {file = "prometheus_client-0.19.0-py3-none-any.whl", hash = "sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92"},
- {file = "prometheus_client-0.19.0.tar.gz", hash = "sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1"},
+ {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
+ {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
]
[package.extras]
@@ -4380,22 +4392,22 @@ testing = ["google-api-core[grpc] (>=1.31.5)"]
[[package]]
name = "protobuf"
-version = "4.25.2"
+version = "4.25.3"
description = ""
optional = false
python-versions = ">=3.8"
files = [
- {file = "protobuf-4.25.2-cp310-abi3-win32.whl", hash = "sha256:b50c949608682b12efb0b2717f53256f03636af5f60ac0c1d900df6213910fd6"},
- {file = "protobuf-4.25.2-cp310-abi3-win_amd64.whl", hash = "sha256:8f62574857ee1de9f770baf04dde4165e30b15ad97ba03ceac65f760ff018ac9"},
- {file = "protobuf-4.25.2-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:2db9f8fa64fbdcdc93767d3cf81e0f2aef176284071507e3ede160811502fd3d"},
- {file = "protobuf-4.25.2-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:10894a2885b7175d3984f2be8d9850712c57d5e7587a2410720af8be56cdaf62"},
- {file = "protobuf-4.25.2-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:fc381d1dd0516343f1440019cedf08a7405f791cd49eef4ae1ea06520bc1c020"},
- {file = "protobuf-4.25.2-cp38-cp38-win32.whl", hash = "sha256:33a1aeef4b1927431d1be780e87b641e322b88d654203a9e9d93f218ee359e61"},
- {file = "protobuf-4.25.2-cp38-cp38-win_amd64.whl", hash = "sha256:47f3de503fe7c1245f6f03bea7e8d3ec11c6c4a2ea9ef910e3221c8a15516d62"},
- {file = "protobuf-4.25.2-cp39-cp39-win32.whl", hash = "sha256:5e5c933b4c30a988b52e0b7c02641760a5ba046edc5e43d3b94a74c9fc57c1b3"},
- {file = "protobuf-4.25.2-cp39-cp39-win_amd64.whl", hash = "sha256:d66a769b8d687df9024f2985d5137a337f957a0916cf5464d1513eee96a63ff0"},
- {file = "protobuf-4.25.2-py3-none-any.whl", hash = "sha256:a8b7a98d4ce823303145bf3c1a8bdb0f2f4642a414b196f04ad9853ed0c8f830"},
- {file = "protobuf-4.25.2.tar.gz", hash = "sha256:fe599e175cb347efc8ee524bcd4b902d11f7262c0e569ececcb89995c15f0a5e"},
+ {file = "protobuf-4.25.3-cp310-abi3-win32.whl", hash = "sha256:d4198877797a83cbfe9bffa3803602bbe1625dc30d8a097365dbc762e5790faa"},
+ {file = "protobuf-4.25.3-cp310-abi3-win_amd64.whl", hash = "sha256:209ba4cc916bab46f64e56b85b090607a676f66b473e6b762e6f1d9d591eb2e8"},
+ {file = "protobuf-4.25.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:f1279ab38ecbfae7e456a108c5c0681e4956d5b1090027c1de0f934dfdb4b35c"},
+ {file = "protobuf-4.25.3-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:e7cb0ae90dd83727f0c0718634ed56837bfeeee29a5f82a7514c03ee1364c019"},
+ {file = "protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:7c8daa26095f82482307bc717364e7c13f4f1c99659be82890dcfc215194554d"},
+ {file = "protobuf-4.25.3-cp38-cp38-win32.whl", hash = "sha256:f4f118245c4a087776e0a8408be33cf09f6c547442c00395fbfb116fac2f8ac2"},
+ {file = "protobuf-4.25.3-cp38-cp38-win_amd64.whl", hash = "sha256:c053062984e61144385022e53678fbded7aea14ebb3e0305ae3592fb219ccfa4"},
+ {file = "protobuf-4.25.3-cp39-cp39-win32.whl", hash = "sha256:19b270aeaa0099f16d3ca02628546b8baefe2955bbe23224aaf856134eccf1e4"},
+ {file = "protobuf-4.25.3-cp39-cp39-win_amd64.whl", hash = "sha256:e3c97a1555fd6388f857770ff8b9703083de6bf1f9274a002a332d65fbb56c8c"},
+ {file = "protobuf-4.25.3-py3-none-any.whl", hash = "sha256:f0700d54bcf45424477e46a9f0944155b46fb0639d69728739c0e47bab83f2b9"},
+ {file = "protobuf-4.25.3.tar.gz", hash = "sha256:25b5d0b42fd000320bd7830b349e3b696435f3b329810427a6bcce6a5492cc5c"},
]
[[package]]
@@ -4459,7 +4471,6 @@ files = [
{file = "psycopg2_binary-2.9.9-cp311-cp311-win32.whl", hash = "sha256:dc4926288b2a3e9fd7b50dc6a1909a13bbdadfc67d93f3374d984e56f885579d"},
{file = "psycopg2_binary-2.9.9-cp311-cp311-win_amd64.whl", hash = "sha256:b76bedd166805480ab069612119ea636f5ab8f8771e640ae103e05a4aae3e417"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8532fd6e6e2dc57bcb3bc90b079c60de896d2128c5d9d6f24a63875a95a088cf"},
- {file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b0605eaed3eb239e87df0d5e3c6489daae3f7388d455d0c0b4df899519c6a38d"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f8544b092a29a6ddd72f3556a9fcf249ec412e10ad28be6a0c0d948924f2212"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2d423c8d8a3c82d08fe8af900ad5b613ce3632a1249fd6a223941d0735fce493"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e5afae772c00980525f6d6ecf7cbca55676296b580c0e6abb407f15f3706996"},
@@ -4468,8 +4479,6 @@ files = [
{file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:cb16c65dcb648d0a43a2521f2f0a2300f40639f6f8c1ecbc662141e4e3e1ee07"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:911dda9c487075abd54e644ccdf5e5c16773470a6a5d3826fda76699410066fb"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:57fede879f08d23c85140a360c6a77709113efd1c993923c59fde17aa27599fe"},
- {file = "psycopg2_binary-2.9.9-cp312-cp312-win32.whl", hash = "sha256:64cf30263844fa208851ebb13b0732ce674d8ec6a0c86a4e160495d299ba3c93"},
- {file = "psycopg2_binary-2.9.9-cp312-cp312-win_amd64.whl", hash = "sha256:81ff62668af011f9a48787564ab7eded4e9fb17a4a6a74af5ffa6a457400d2ab"},
{file = "psycopg2_binary-2.9.9-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2293b001e319ab0d869d660a704942c9e2cce19745262a8aba2115ef41a0a42a"},
{file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ef7df18daf2c4c07e2695e8cfd5ee7f748a1d54d802330985a78d2a5a6dca9"},
{file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a602ea5aff39bb9fac6308e9c9d82b9a35c2bf288e184a816002c9fae930b77"},
@@ -5078,7 +5087,6 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
- {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -5474,110 +5482,110 @@ files = [
[[package]]
name = "rpds-py"
-version = "0.17.1"
+version = "0.18.0"
description = "Python bindings to Rust's persistent data structures (rpds)"
optional = false
python-versions = ">=3.8"
files = [
- {file = "rpds_py-0.17.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:4128980a14ed805e1b91a7ed551250282a8ddf8201a4e9f8f5b7e6225f54170d"},
- {file = "rpds_py-0.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ff1dcb8e8bc2261a088821b2595ef031c91d499a0c1b031c152d43fe0a6ecec8"},
- {file = "rpds_py-0.17.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d65e6b4f1443048eb7e833c2accb4fa7ee67cc7d54f31b4f0555b474758bee55"},
- {file = "rpds_py-0.17.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a71169d505af63bb4d20d23a8fbd4c6ce272e7bce6cc31f617152aa784436f29"},
- {file = "rpds_py-0.17.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:436474f17733c7dca0fbf096d36ae65277e8645039df12a0fa52445ca494729d"},
- {file = "rpds_py-0.17.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:10162fe3f5f47c37ebf6d8ff5a2368508fe22007e3077bf25b9c7d803454d921"},
- {file = "rpds_py-0.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:720215373a280f78a1814becb1312d4e4d1077b1202a56d2b0815e95ccb99ce9"},
- {file = "rpds_py-0.17.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:70fcc6c2906cfa5c6a552ba7ae2ce64b6c32f437d8f3f8eea49925b278a61453"},
- {file = "rpds_py-0.17.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:91e5a8200e65aaac342a791272c564dffcf1281abd635d304d6c4e6b495f29dc"},
- {file = "rpds_py-0.17.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:99f567dae93e10be2daaa896e07513dd4bf9c2ecf0576e0533ac36ba3b1d5394"},
- {file = "rpds_py-0.17.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:24e4900a6643f87058a27320f81336d527ccfe503984528edde4bb660c8c8d59"},
- {file = "rpds_py-0.17.1-cp310-none-win32.whl", hash = "sha256:0bfb09bf41fe7c51413f563373e5f537eaa653d7adc4830399d4e9bdc199959d"},
- {file = "rpds_py-0.17.1-cp310-none-win_amd64.whl", hash = "sha256:20de7b7179e2031a04042e85dc463a93a82bc177eeba5ddd13ff746325558aa6"},
- {file = "rpds_py-0.17.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:65dcf105c1943cba45d19207ef51b8bc46d232a381e94dd38719d52d3980015b"},
- {file = "rpds_py-0.17.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:01f58a7306b64e0a4fe042047dd2b7d411ee82e54240284bab63e325762c1147"},
- {file = "rpds_py-0.17.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:071bc28c589b86bc6351a339114fb7a029f5cddbaca34103aa573eba7b482382"},
- {file = "rpds_py-0.17.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ae35e8e6801c5ab071b992cb2da958eee76340e6926ec693b5ff7d6381441745"},
- {file = "rpds_py-0.17.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:149c5cd24f729e3567b56e1795f74577aa3126c14c11e457bec1b1c90d212e38"},
- {file = "rpds_py-0.17.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e796051f2070f47230c745d0a77a91088fbee2cc0502e9b796b9c6471983718c"},
- {file = "rpds_py-0.17.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60e820ee1004327609b28db8307acc27f5f2e9a0b185b2064c5f23e815f248f8"},
- {file = "rpds_py-0.17.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1957a2ab607f9added64478a6982742eb29f109d89d065fa44e01691a20fc20a"},
- {file = "rpds_py-0.17.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8587fd64c2a91c33cdc39d0cebdaf30e79491cc029a37fcd458ba863f8815383"},
- {file = "rpds_py-0.17.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4dc889a9d8a34758d0fcc9ac86adb97bab3fb7f0c4d29794357eb147536483fd"},
- {file = "rpds_py-0.17.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:2953937f83820376b5979318840f3ee47477d94c17b940fe31d9458d79ae7eea"},
- {file = "rpds_py-0.17.1-cp311-none-win32.whl", hash = "sha256:1bfcad3109c1e5ba3cbe2f421614e70439f72897515a96c462ea657261b96518"},
- {file = "rpds_py-0.17.1-cp311-none-win_amd64.whl", hash = "sha256:99da0a4686ada4ed0f778120a0ea8d066de1a0a92ab0d13ae68492a437db78bf"},
- {file = "rpds_py-0.17.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:1dc29db3900cb1bb40353772417800f29c3d078dbc8024fd64655a04ee3c4bdf"},
- {file = "rpds_py-0.17.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82ada4a8ed9e82e443fcef87e22a3eed3654dd3adf6e3b3a0deb70f03e86142a"},
- {file = "rpds_py-0.17.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d36b2b59e8cc6e576f8f7b671e32f2ff43153f0ad6d0201250a7c07f25d570e"},
- {file = "rpds_py-0.17.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3677fcca7fb728c86a78660c7fb1b07b69b281964673f486ae72860e13f512ad"},
- {file = "rpds_py-0.17.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:516fb8c77805159e97a689e2f1c80655c7658f5af601c34ffdb916605598cda2"},
- {file = "rpds_py-0.17.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:df3b6f45ba4515632c5064e35ca7f31d51d13d1479673185ba8f9fefbbed58b9"},
- {file = "rpds_py-0.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a967dd6afda7715d911c25a6ba1517975acd8d1092b2f326718725461a3d33f9"},
- {file = "rpds_py-0.17.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:dbbb95e6fc91ea3102505d111b327004d1c4ce98d56a4a02e82cd451f9f57140"},
- {file = "rpds_py-0.17.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:02866e060219514940342a1f84303a1ef7a1dad0ac311792fbbe19b521b489d2"},
- {file = "rpds_py-0.17.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:2528ff96d09f12e638695f3a2e0c609c7b84c6df7c5ae9bfeb9252b6fa686253"},
- {file = "rpds_py-0.17.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:bd345a13ce06e94c753dab52f8e71e5252aec1e4f8022d24d56decd31e1b9b23"},
- {file = "rpds_py-0.17.1-cp312-none-win32.whl", hash = "sha256:2a792b2e1d3038daa83fa474d559acfd6dc1e3650ee93b2662ddc17dbff20ad1"},
- {file = "rpds_py-0.17.1-cp312-none-win_amd64.whl", hash = "sha256:292f7344a3301802e7c25c53792fae7d1593cb0e50964e7bcdcc5cf533d634e3"},
- {file = "rpds_py-0.17.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:8ffe53e1d8ef2520ebcf0c9fec15bb721da59e8ef283b6ff3079613b1e30513d"},
- {file = "rpds_py-0.17.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4341bd7579611cf50e7b20bb8c2e23512a3dc79de987a1f411cb458ab670eb90"},
- {file = "rpds_py-0.17.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f4eb548daf4836e3b2c662033bfbfc551db58d30fd8fe660314f86bf8510b93"},
- {file = "rpds_py-0.17.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b686f25377f9c006acbac63f61614416a6317133ab7fafe5de5f7dc8a06d42eb"},
- {file = "rpds_py-0.17.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4e21b76075c01d65d0f0f34302b5a7457d95721d5e0667aea65e5bb3ab415c25"},
- {file = "rpds_py-0.17.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b86b21b348f7e5485fae740d845c65a880f5d1eda1e063bc59bef92d1f7d0c55"},
- {file = "rpds_py-0.17.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f175e95a197f6a4059b50757a3dca33b32b61691bdbd22c29e8a8d21d3914cae"},
- {file = "rpds_py-0.17.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1701fc54460ae2e5efc1dd6350eafd7a760f516df8dbe51d4a1c79d69472fbd4"},
- {file = "rpds_py-0.17.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:9051e3d2af8f55b42061603e29e744724cb5f65b128a491446cc029b3e2ea896"},
- {file = "rpds_py-0.17.1-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:7450dbd659fed6dd41d1a7d47ed767e893ba402af8ae664c157c255ec6067fde"},
- {file = "rpds_py-0.17.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:5a024fa96d541fd7edaa0e9d904601c6445e95a729a2900c5aec6555fe921ed6"},
- {file = "rpds_py-0.17.1-cp38-none-win32.whl", hash = "sha256:da1ead63368c04a9bded7904757dfcae01eba0e0f9bc41d3d7f57ebf1c04015a"},
- {file = "rpds_py-0.17.1-cp38-none-win_amd64.whl", hash = "sha256:841320e1841bb53fada91c9725e766bb25009cfd4144e92298db296fb6c894fb"},
- {file = "rpds_py-0.17.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:f6c43b6f97209e370124baf2bf40bb1e8edc25311a158867eb1c3a5d449ebc7a"},
- {file = "rpds_py-0.17.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5e7d63ec01fe7c76c2dbb7e972fece45acbb8836e72682bde138e7e039906e2c"},
- {file = "rpds_py-0.17.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81038ff87a4e04c22e1d81f947c6ac46f122e0c80460b9006e6517c4d842a6ec"},
- {file = "rpds_py-0.17.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:810685321f4a304b2b55577c915bece4c4a06dfe38f6e62d9cc1d6ca8ee86b99"},
- {file = "rpds_py-0.17.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:25f071737dae674ca8937a73d0f43f5a52e92c2d178330b4c0bb6ab05586ffa6"},
- {file = "rpds_py-0.17.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa5bfb13f1e89151ade0eb812f7b0d7a4d643406caaad65ce1cbabe0a66d695f"},
- {file = "rpds_py-0.17.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dfe07308b311a8293a0d5ef4e61411c5c20f682db6b5e73de6c7c8824272c256"},
- {file = "rpds_py-0.17.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a000133a90eea274a6f28adc3084643263b1e7c1a5a66eb0a0a7a36aa757ed74"},
- {file = "rpds_py-0.17.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5d0e8a6434a3fbf77d11448c9c25b2f25244226cfbec1a5159947cac5b8c5fa4"},
- {file = "rpds_py-0.17.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:efa767c220d94aa4ac3a6dd3aeb986e9f229eaf5bce92d8b1b3018d06bed3772"},
- {file = "rpds_py-0.17.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:dbc56680ecf585a384fbd93cd42bc82668b77cb525343170a2d86dafaed2a84b"},
- {file = "rpds_py-0.17.1-cp39-none-win32.whl", hash = "sha256:270987bc22e7e5a962b1094953ae901395e8c1e1e83ad016c5cfcfff75a15a3f"},
- {file = "rpds_py-0.17.1-cp39-none-win_amd64.whl", hash = "sha256:2a7b2f2f56a16a6d62e55354dd329d929560442bd92e87397b7a9586a32e3e76"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a3264e3e858de4fc601741498215835ff324ff2482fd4e4af61b46512dd7fc83"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:f2f3b28b40fddcb6c1f1f6c88c6f3769cd933fa493ceb79da45968a21dccc920"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9584f8f52010295a4a417221861df9bea4c72d9632562b6e59b3c7b87a1522b7"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c64602e8be701c6cfe42064b71c84ce62ce66ddc6422c15463fd8127db3d8066"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:060f412230d5f19fc8c8b75f315931b408d8ebf56aec33ef4168d1b9e54200b1"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b9412abdf0ba70faa6e2ee6c0cc62a8defb772e78860cef419865917d86c7342"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9737bdaa0ad33d34c0efc718741abaafce62fadae72c8b251df9b0c823c63b22"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9f0e4dc0f17dcea4ab9d13ac5c666b6b5337042b4d8f27e01b70fae41dd65c57"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1db228102ab9d1ff4c64148c96320d0be7044fa28bd865a9ce628ce98da5973d"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:d8bbd8e56f3ba25a7d0cf980fc42b34028848a53a0e36c9918550e0280b9d0b6"},
- {file = "rpds_py-0.17.1-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:be22ae34d68544df293152b7e50895ba70d2a833ad9566932d750d3625918b82"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:bf046179d011e6114daf12a534d874958b039342b347348a78b7cdf0dd9d6041"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:1a746a6d49665058a5896000e8d9d2f1a6acba8a03b389c1e4c06e11e0b7f40d"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0b8bf5b8db49d8fd40f54772a1dcf262e8be0ad2ab0206b5a2ec109c176c0a4"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f7f4cb1f173385e8a39c29510dd11a78bf44e360fb75610594973f5ea141028b"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7fbd70cb8b54fe745301921b0816c08b6d917593429dfc437fd024b5ba713c58"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bdf1303df671179eaf2cb41e8515a07fc78d9d00f111eadbe3e14262f59c3d0"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fad059a4bd14c45776600d223ec194e77db6c20255578bb5bcdd7c18fd169361"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3664d126d3388a887db44c2e293f87d500c4184ec43d5d14d2d2babdb4c64cad"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:698ea95a60c8b16b58be9d854c9f993c639f5c214cf9ba782eca53a8789d6b19"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:c3d2010656999b63e628a3c694f23020322b4178c450dc478558a2b6ef3cb9bb"},
- {file = "rpds_py-0.17.1-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:938eab7323a736533f015e6069a7d53ef2dcc841e4e533b782c2bfb9fb12d84b"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:1e626b365293a2142a62b9a614e1f8e331b28f3ca57b9f05ebbf4cf2a0f0bdc5"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:380e0df2e9d5d5d339803cfc6d183a5442ad7ab3c63c2a0982e8c824566c5ccc"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b760a56e080a826c2e5af09002c1a037382ed21d03134eb6294812dda268c811"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5576ee2f3a309d2bb403ec292d5958ce03953b0e57a11d224c1f134feaf8c40f"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3c3461ebb4c4f1bbc70b15d20b565759f97a5aaf13af811fcefc892e9197ba"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:637b802f3f069a64436d432117a7e58fab414b4e27a7e81049817ae94de45d8d"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffee088ea9b593cc6160518ba9bd319b5475e5f3e578e4552d63818773c6f56a"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3ac732390d529d8469b831949c78085b034bff67f584559340008d0f6041a049"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:93432e747fb07fa567ad9cc7aaadd6e29710e515aabf939dfbed8046041346c6"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:7b7d9ca34542099b4e185b3c2a2b2eda2e318a7dbde0b0d83357a6d4421b5296"},
- {file = "rpds_py-0.17.1-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:0387ce69ba06e43df54e43968090f3626e231e4bc9150e4c3246947567695f68"},
- {file = "rpds_py-0.17.1.tar.gz", hash = "sha256:0210b2668f24c078307260bf88bdac9d6f1093635df5123789bfee4d8d7fc8e7"},
+ {file = "rpds_py-0.18.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5b4e7d8d6c9b2e8ee2d55c90b59c707ca59bc30058269b3db7b1f8df5763557e"},
+ {file = "rpds_py-0.18.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c463ed05f9dfb9baebef68048aed8dcdc94411e4bf3d33a39ba97e271624f8f7"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:01e36a39af54a30f28b73096dd39b6802eddd04c90dbe161c1b8dbe22353189f"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d62dec4976954a23d7f91f2f4530852b0c7608116c257833922a896101336c51"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd18772815d5f008fa03d2b9a681ae38d5ae9f0e599f7dda233c439fcaa00d40"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:923d39efa3cfb7279a0327e337a7958bff00cc447fd07a25cddb0a1cc9a6d2da"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39514da80f971362f9267c600b6d459bfbbc549cffc2cef8e47474fddc9b45b1"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a34d557a42aa28bd5c48a023c570219ba2593bcbbb8dc1b98d8cf5d529ab1434"},
+ {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:93df1de2f7f7239dc9cc5a4a12408ee1598725036bd2dedadc14d94525192fc3"},
+ {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:34b18ba135c687f4dac449aa5157d36e2cbb7c03cbea4ddbd88604e076aa836e"},
+ {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c0b5dcf9193625afd8ecc92312d6ed78781c46ecbf39af9ad4681fc9f464af88"},
+ {file = "rpds_py-0.18.0-cp310-none-win32.whl", hash = "sha256:c4325ff0442a12113a6379af66978c3fe562f846763287ef66bdc1d57925d337"},
+ {file = "rpds_py-0.18.0-cp310-none-win_amd64.whl", hash = "sha256:7223a2a5fe0d217e60a60cdae28d6949140dde9c3bcc714063c5b463065e3d66"},
+ {file = "rpds_py-0.18.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:3a96e0c6a41dcdba3a0a581bbf6c44bb863f27c541547fb4b9711fd8cf0ffad4"},
+ {file = "rpds_py-0.18.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30f43887bbae0d49113cbaab729a112251a940e9b274536613097ab8b4899cf6"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcb25daa9219b4cf3a0ab24b0eb9a5cc8949ed4dc72acb8fa16b7e1681aa3c58"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d68c93e381010662ab873fea609bf6c0f428b6d0bb00f2c6939782e0818d37bf"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b34b7aa8b261c1dbf7720b5d6f01f38243e9b9daf7e6b8bc1fd4657000062f2c"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2e6d75ab12b0bbab7215e5d40f1e5b738aa539598db27ef83b2ec46747df90e1"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b8612cd233543a3781bc659c731b9d607de65890085098986dfd573fc2befe5"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:aec493917dd45e3c69d00a8874e7cbed844efd935595ef78a0f25f14312e33c6"},
+ {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:661d25cbffaf8cc42e971dd570d87cb29a665f49f4abe1f9e76be9a5182c4688"},
+ {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1df3659d26f539ac74fb3b0c481cdf9d725386e3552c6fa2974f4d33d78e544b"},
+ {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a1ce3ba137ed54f83e56fb983a5859a27d43a40188ba798993812fed73c70836"},
+ {file = "rpds_py-0.18.0-cp311-none-win32.whl", hash = "sha256:69e64831e22a6b377772e7fb337533c365085b31619005802a79242fee620bc1"},
+ {file = "rpds_py-0.18.0-cp311-none-win_amd64.whl", hash = "sha256:998e33ad22dc7ec7e030b3df701c43630b5bc0d8fbc2267653577e3fec279afa"},
+ {file = "rpds_py-0.18.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:7f2facbd386dd60cbbf1a794181e6aa0bd429bd78bfdf775436020172e2a23f0"},
+ {file = "rpds_py-0.18.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1d9a5be316c15ffb2b3c405c4ff14448c36b4435be062a7f578ccd8b01f0c4d8"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd5bf1af8efe569654bbef5a3e0a56eca45f87cfcffab31dd8dde70da5982475"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5417558f6887e9b6b65b4527232553c139b57ec42c64570569b155262ac0754f"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:56a737287efecafc16f6d067c2ea0117abadcd078d58721f967952db329a3e5c"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8f03bccbd8586e9dd37219bce4d4e0d3ab492e6b3b533e973fa08a112cb2ffc9"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4457a94da0d5c53dc4b3e4de1158bdab077db23c53232f37a3cb7afdb053a4e3"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0ab39c1ba9023914297dd88ec3b3b3c3f33671baeb6acf82ad7ce883f6e8e157"},
+ {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9d54553c1136b50fd12cc17e5b11ad07374c316df307e4cfd6441bea5fb68496"},
+ {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0af039631b6de0397ab2ba16eaf2872e9f8fca391b44d3d8cac317860a700a3f"},
+ {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:84ffab12db93b5f6bad84c712c92060a2d321b35c3c9960b43d08d0f639d60d7"},
+ {file = "rpds_py-0.18.0-cp312-none-win32.whl", hash = "sha256:685537e07897f173abcf67258bee3c05c374fa6fff89d4c7e42fb391b0605e98"},
+ {file = "rpds_py-0.18.0-cp312-none-win_amd64.whl", hash = "sha256:e003b002ec72c8d5a3e3da2989c7d6065b47d9eaa70cd8808b5384fbb970f4ec"},
+ {file = "rpds_py-0.18.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:08f9ad53c3f31dfb4baa00da22f1e862900f45908383c062c27628754af2e88e"},
+ {file = "rpds_py-0.18.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c0013fe6b46aa496a6749c77e00a3eb07952832ad6166bd481c74bda0dcb6d58"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e32a92116d4f2a80b629778280103d2a510a5b3f6314ceccd6e38006b5e92dcb"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e541ec6f2ec456934fd279a3120f856cd0aedd209fc3852eca563f81738f6861"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bed88b9a458e354014d662d47e7a5baafd7ff81c780fd91584a10d6ec842cb73"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2644e47de560eb7bd55c20fc59f6daa04682655c58d08185a9b95c1970fa1e07"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e8916ae4c720529e18afa0b879473049e95949bf97042e938530e072fde061d"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:465a3eb5659338cf2a9243e50ad9b2296fa15061736d6e26240e713522b6235c"},
+ {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ea7d4a99f3b38c37eac212dbd6ec42b7a5ec51e2c74b5d3223e43c811609e65f"},
+ {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:67071a6171e92b6da534b8ae326505f7c18022c6f19072a81dcf40db2638767c"},
+ {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:41ef53e7c58aa4ef281da975f62c258950f54b76ec8e45941e93a3d1d8580594"},
+ {file = "rpds_py-0.18.0-cp38-none-win32.whl", hash = "sha256:fdea4952db2793c4ad0bdccd27c1d8fdd1423a92f04598bc39425bcc2b8ee46e"},
+ {file = "rpds_py-0.18.0-cp38-none-win_amd64.whl", hash = "sha256:7cd863afe7336c62ec78d7d1349a2f34c007a3cc6c2369d667c65aeec412a5b1"},
+ {file = "rpds_py-0.18.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:5307def11a35f5ae4581a0b658b0af8178c65c530e94893345bebf41cc139d33"},
+ {file = "rpds_py-0.18.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:77f195baa60a54ef9d2de16fbbfd3ff8b04edc0c0140a761b56c267ac11aa467"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39f5441553f1c2aed4de4377178ad8ff8f9d733723d6c66d983d75341de265ab"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9a00312dea9310d4cb7dbd7787e722d2e86a95c2db92fbd7d0155f97127bcb40"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f2fc11e8fe034ee3c34d316d0ad8808f45bc3b9ce5857ff29d513f3ff2923a1"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:586f8204935b9ec884500498ccc91aa869fc652c40c093bd9e1471fbcc25c022"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddc2f4dfd396c7bfa18e6ce371cba60e4cf9d2e5cdb71376aa2da264605b60b9"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5ddcba87675b6d509139d1b521e0c8250e967e63b5909a7e8f8944d0f90ff36f"},
+ {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7bd339195d84439cbe5771546fe8a4e8a7a045417d8f9de9a368c434e42a721e"},
+ {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:d7c36232a90d4755b720fbd76739d8891732b18cf240a9c645d75f00639a9024"},
+ {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6b0817e34942b2ca527b0e9298373e7cc75f429e8da2055607f4931fded23e20"},
+ {file = "rpds_py-0.18.0-cp39-none-win32.whl", hash = "sha256:99f70b740dc04d09e6b2699b675874367885217a2e9f782bdf5395632ac663b7"},
+ {file = "rpds_py-0.18.0-cp39-none-win_amd64.whl", hash = "sha256:6ef687afab047554a2d366e112dd187b62d261d49eb79b77e386f94644363294"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ad36cfb355e24f1bd37cac88c112cd7730873f20fb0bdaf8ba59eedf8216079f"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:36b3ee798c58ace201289024b52788161e1ea133e4ac93fba7d49da5fec0ef9e"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8a2f084546cc59ea99fda8e070be2fd140c3092dc11524a71aa8f0f3d5a55ca"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e4461d0f003a0aa9be2bdd1b798a041f177189c1a0f7619fe8c95ad08d9a45d7"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8db715ebe3bb7d86d77ac1826f7d67ec11a70dbd2376b7cc214199360517b641"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793968759cd0d96cac1e367afd70c235867831983f876a53389ad869b043c948"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66e6a3af5a75363d2c9a48b07cb27c4ea542938b1a2e93b15a503cdfa8490795"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ef0befbb5d79cf32d0266f5cff01545602344eda89480e1dd88aca964260b18"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1d4acf42190d449d5e89654d5c1ed3a4f17925eec71f05e2a41414689cda02d1"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:a5f446dd5055667aabaee78487f2b5ab72e244f9bc0b2ffebfeec79051679984"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:9dbbeb27f4e70bfd9eec1be5477517365afe05a9b2c441a0b21929ee61048124"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:22806714311a69fd0af9b35b7be97c18a0fc2826e6827dbb3a8c94eac6cf7eeb"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:b34ae4636dfc4e76a438ab826a0d1eed2589ca7d9a1b2d5bb546978ac6485461"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c8370641f1a7f0e0669ddccca22f1da893cef7628396431eb445d46d893e5cd"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c8362467a0fdeccd47935f22c256bec5e6abe543bf0d66e3d3d57a8fb5731863"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11a8c85ef4a07a7638180bf04fe189d12757c696eb41f310d2426895356dcf05"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b316144e85316da2723f9d8dc75bada12fa58489a527091fa1d5a612643d1a0e"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf1ea2e34868f6fbf070e1af291c8180480310173de0b0c43fc38a02929fc0e3"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e546e768d08ad55b20b11dbb78a745151acbd938f8f00d0cfbabe8b0199b9880"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4901165d170a5fde6f589acb90a6b33629ad1ec976d4529e769c6f3d885e3e80"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:618a3d6cae6ef8ec88bb76dd80b83cfe415ad4f1d942ca2a903bf6b6ff97a2da"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ed4eb745efbff0a8e9587d22a84be94a5eb7d2d99c02dacf7bd0911713ed14dd"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6c81e5f372cd0dc5dc4809553d34f832f60a46034a5f187756d9b90586c2c307"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:43fbac5f22e25bee1d482c97474f930a353542855f05c1161fd804c9dc74a09d"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d7faa6f14017c0b1e69f5e2c357b998731ea75a442ab3841c0dbbbfe902d2c4"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:08231ac30a842bd04daabc4d71fddd7e6d26189406d5a69535638e4dcb88fe76"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:044a3e61a7c2dafacae99d1e722cc2d4c05280790ec5a05031b3876809d89a5c"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3f26b5bd1079acdb0c7a5645e350fe54d16b17bfc5e71f371c449383d3342e17"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:482103aed1dfe2f3b71a58eff35ba105289b8d862551ea576bd15479aba01f66"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1374f4129f9bcca53a1bba0bb86bf78325a0374577cf7e9e4cd046b1e6f20e24"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:635dc434ff724b178cb192c70016cc0ad25a275228f749ee0daf0eddbc8183b1"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:bc362ee4e314870a70f4ae88772d72d877246537d9f8cb8f7eacf10884862432"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:4832d7d380477521a8c1644bbab6588dfedea5e30a7d967b5fb75977c45fd77f"},
+ {file = "rpds_py-0.18.0.tar.gz", hash = "sha256:42821446ee7a76f5d9f71f9e33a4fb2ffd724bb3e7f93386150b61a43115788d"},
]
[[package]]
@@ -6007,41 +6015,41 @@ files = [
[[package]]
name = "spacy"
-version = "3.7.2"
+version = "3.7.4"
description = "Industrial-strength Natural Language Processing (NLP) in Python"
optional = true
python-versions = ">=3.7"
files = [
- {file = "spacy-3.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b4e285366d36c85f784d606a2d966912a18f4d24d47330c1c6acbdd9f19ee373"},
- {file = "spacy-3.7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f132c05368781be5d3be3d706afce7e7a9a0c9edc0dbb7c616162c37bc386561"},
- {file = "spacy-3.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e3767b2cabbe337d62779ae4fdc4d57a39755c17dfc499de3ad2bae622caa43"},
- {file = "spacy-3.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a748ade269bdbea9baaa49ec00882404e7e921163cdc14f5612320d0a957dfd"},
- {file = "spacy-3.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:66467128e494bfa4dc9c3996e4cbb26bac4741bca4cdd8dd83a6e71182148945"},
- {file = "spacy-3.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5af30aea578e7414fb0eb4dbad0ff0fa0a7d8e833c3e733eceb2617534714c7d"},
- {file = "spacy-3.7.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7293de33b1e9ede151555070ad0fee3bac98aefcaac9e615eeeb4296846bd479"},
- {file = "spacy-3.7.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26940681cf20c8831c558e2c3d345ff20b5bc3c5e6d41c66172d0c5136042f0b"},
- {file = "spacy-3.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a334667625153f7aaf188c20af7e82c886e41a88483a056accba5a7d51095c6"},
- {file = "spacy-3.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:43e6147d3583b62a2d3af0cd913ac025068196d587345751e198391ff0b8c1e9"},
- {file = "spacy-3.7.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:2558df8c11905a0f77a2a3639a12ef8a522d171bcd88eaec039bedf6c60d7e01"},
- {file = "spacy-3.7.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:df1b9c4bbadc89bad10dba226d52c113e231ea6ad35c8a916ab138b31f69fa24"},
- {file = "spacy-3.7.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bbbe055d2170ac7505a9f580bbdcd2146d0701bdbd6cea2333e18b0db655b97a"},
- {file = "spacy-3.7.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d35129b16ae2ca4212bf22a5c88b67b1e019e434fc48b69d3b95f80bc9e14e42"},
- {file = "spacy-3.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:a7419682aba99624cc4df7df66764b6ec62ff415f32c3682c1af2a37bd11a913"},
- {file = "spacy-3.7.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b12ab9c4923ffd38da84baf09464982da44e8275d680fb3c5da2051d7dd7bd2d"},
- {file = "spacy-3.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c5c9db529dc1caa908813c58ba1643e929d2c811768596a2b64e2e01a882b1"},
- {file = "spacy-3.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bcaad95e3e7d0ea8f381f3e2d9e80b7f346ecb6566de9bd55361736fa563fc22"},
- {file = "spacy-3.7.2-cp37-cp37m-win_amd64.whl", hash = "sha256:5d9b12284871ca5daa7774604a964486957567a86f1af898da0260e94b815e0d"},
- {file = "spacy-3.7.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2bd89770f61d5980e788ef382297322cceb7dcc4b848d68cb1da8af7d80d6eb6"},
- {file = "spacy-3.7.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d42f9151a2f01b34227ed31c8db8b7c67889ebcc637eae390faec8093ea1fb12"},
- {file = "spacy-3.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3d25d2f22ba1d2dd46d103e4a54826582de2b853b6f95dfb97b005563b38838"},
- {file = "spacy-3.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:730f23340dd157817d2da6df21f69966791b0bdbd6ea108845a65f3e1c0e981c"},
- {file = "spacy-3.7.2-cp38-cp38-win_amd64.whl", hash = "sha256:9c2f3f04b4b894a6c42ee93cec2f2b158f246f344927e65d9d19b72c5a6493ea"},
- {file = "spacy-3.7.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b22e0e8dac76740d55556fa13ebb9e1c829779ea0b7ec7a9e04f32efc66f74b9"},
- {file = "spacy-3.7.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ad7f378350104ca1f9e81180485d8b094aad7acb9b4bce84f1387b905cf230a2"},
- {file = "spacy-3.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ccbffb7825c08c0586ef7384d0aa23196f9ac106b5c7b3c551907316930f94f"},
- {file = "spacy-3.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:111955d7f4786b952672e9c5cfd9f8b74d81e64b62d479f71efe9cfc2a027a1d"},
- {file = "spacy-3.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:e8a7291e7e1cfcb6041b26f96d0a66b603725c1beff4e0391c3d9226fae16e04"},
- {file = "spacy-3.7.2.tar.gz", hash = "sha256:cedf4927bf0d3fec773a6ce48d5d2c91bdb02fed3c7d5ec07bdb873f1126f1a0"},
+ {file = "spacy-3.7.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0f748625192f573c07ddea5fcd324919dbfbf4f4a2f7a1fc731e6dcba7321ea1"},
+ {file = "spacy-3.7.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6288dca7b3a5489b3d7ce68404bc432ca22f826c662a12af47ef7bdb264307fb"},
+ {file = "spacy-3.7.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef59db99b12a72d2646be3888d87f94c59e11cd07adc2f50a8130e83f07eb1cf"},
+ {file = "spacy-3.7.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f07477a4027711c22b3865e78dc9076335c03fcf318a6736159bf07e2a923125"},
+ {file = "spacy-3.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:787ce42a837f7edfbd4185356eea893a81b7dd75743d0047f2b9bf179775f970"},
+ {file = "spacy-3.7.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e82b9da21853d4aee46811804dc7e136895f087fda25c7585172d95eb9b70833"},
+ {file = "spacy-3.7.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:07ffedf51899441070fb70432f8f873696f39e0e31c9ce7403101c459f8a1281"},
+ {file = "spacy-3.7.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba57bcc111eca7b086ee33a9636df775cfd4b14302f7d0ffbc11e95ac0fb3f0e"},
+ {file = "spacy-3.7.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7580d1565f4d1ccbee9a18531f993a5b9b37ced96f145153dd4e98ceec607a55"},
+ {file = "spacy-3.7.4-cp311-cp311-win_amd64.whl", hash = "sha256:df99c6f0085b1ec8e88beb5fd96d4371cef6fc19c202c41fc4fadc2afd55a157"},
+ {file = "spacy-3.7.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b982ebab417189346acb4722637c573830d62e157ba336c3eb6c417249344be1"},
+ {file = "spacy-3.7.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e7c29e152d8ea060af60da9410fa8ef038f3c9068a206905ee5c704de78f6e87"},
+ {file = "spacy-3.7.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:023c9a008328f55c4717c56c4f8a28073b9961547f7d38a9405c967a52e66d59"},
+ {file = "spacy-3.7.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1969d3d0fd0c811b7485438460f0ae8cfe16d46b54bcb8d1c26e70914e67e3d"},
+ {file = "spacy-3.7.4-cp312-cp312-win_amd64.whl", hash = "sha256:040f7df5096c817450820eaaa426d54ed266254d16974e9a707a32f5b0f139ae"},
+ {file = "spacy-3.7.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a6757e8fbfd35dc0ed830296d5756f46d5b8d4b0353925dbe2f9aa33b82c5308"},
+ {file = "spacy-3.7.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c500c1bad9e0488814a75077089aeef64a6b520ae8131578f266a08168106fa3"},
+ {file = "spacy-3.7.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c992e2c5c0cd06c7f3e74fe8d758885117090013931c7938277d1421660bf71f"},
+ {file = "spacy-3.7.4-cp37-cp37m-win_amd64.whl", hash = "sha256:2463c56ab1378f2b9a675340a2e3dfb618989d0da8cdce06429bc9b1dad4f294"},
+ {file = "spacy-3.7.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b43e92edfa99f34dbb9dd30175f41158d20945e3179055d0071fee19394add96"},
+ {file = "spacy-3.7.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c26a81d33c93e4a8e3360d61dcce0802fb886de79f666a487ea5abbd3ce4b30b"},
+ {file = "spacy-3.7.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d7910ca7a91bf423febd8a9a10ca6a4cfcb5c99abdec79df1eb7b67ea3e3c90"},
+ {file = "spacy-3.7.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b16768b9e5c350b8a383a6bd84cd0481ccdf10ae6231f568598890638065f69"},
+ {file = "spacy-3.7.4-cp38-cp38-win_amd64.whl", hash = "sha256:ed99fb176979b1e3cf6830161f8e881beae54e80147b05fca31d9a67cb12fbca"},
+ {file = "spacy-3.7.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ca8112330982dbeef125cc5eb40e0349493055835a0ebe29028a0953a25d8522"},
+ {file = "spacy-3.7.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:977f37493d7cf0b5dca155f0450d47890378703283c29919cdcc220db994a775"},
+ {file = "spacy-3.7.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ad5e931c294d100ec3edb40e40f2722ef505cea16312839dd6467e81d665740"},
+ {file = "spacy-3.7.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11ebf6054cd3ec3638801d7ff9b709e32fb9c15512b347b489bfe2ccb1102c9f"},
+ {file = "spacy-3.7.4-cp39-cp39-win_amd64.whl", hash = "sha256:f5b930753027ac599f70bb7e77d6a2256191fe582e6f3f0cd624d88f6c279fa4"},
+ {file = "spacy-3.7.4.tar.gz", hash = "sha256:525f2ced2e40761562c8cace93ef6a1e6e8c483f27bd564bc1b15f608efbe85b"},
]
[package.dependencies]
@@ -6063,7 +6071,7 @@ smart-open = ">=5.2.1,<7.0.0"
spacy-legacy = ">=3.0.11,<3.1.0"
spacy-loggers = ">=1.0.0,<2.0.0"
srsly = ">=2.4.3,<3.0.0"
-thinc = ">=8.1.8,<8.3.0"
+thinc = ">=8.2.2,<8.3.0"
tqdm = ">=4.38.0,<5.0.0"
typer = ">=0.3.0,<0.10.0"
wasabi = ">=0.9.1,<1.2.0"
@@ -6362,60 +6370,60 @@ test = ["pytest"]
[[package]]
name = "sqlalchemy"
-version = "2.0.26"
+version = "2.0.27"
description = "Database Abstraction Library"
optional = false
python-versions = ">=3.7"
files = [
- {file = "SQLAlchemy-2.0.26-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:56524d767713054f8758217b3a811f6a736e0ae34e7afc33b594926589aa9609"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c2d8a2c68b279617f13088bdc0fc0e9b5126f8017f8882ff08ee41909fab0713"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:84d377645913d47f0dc802b415bcfe7fb085d86646a12278d77c12eb75b5e1b4"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4fc0628d2026926404dabc903dc5628f7d936a792aa3a1fc54a20182df8e2172"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:872f2907ade52601a1e729e85d16913c24dc1f6e7c57d11739f18dcfafde29db"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ba46fa770578b3cf3b5b77dadb7e94fda7692dd4d1989268ef3dcb65f31c40a3"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-win32.whl", hash = "sha256:651d10fdba7984bf100222d6e4acc496fec46493262b6170be1981ef860c6184"},
- {file = "SQLAlchemy-2.0.26-cp310-cp310-win_amd64.whl", hash = "sha256:8f95ede696ab0d7328862d69f29b643d35b668c4f3619cb2f0281adc16e64c1b"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fab1bb909bd24accf2024a69edd4f885ded182c079c4dbcd515b4842f86b07cb"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7ee16afd083bb6bb5ab3962ac7f0eafd1d196c6399388af35fef3d1c6d6d9bb"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:379af901ceb524cbee5e15c1713bf9fd71dc28053286b7917525d01b938b9628"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94a78f56ea13f4d6e9efcd2a2d08cc13531918e0516563f6303c4ad98c81e21d"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a481cc2eec83776ff7b6bb12c8e85d0378af0e2ec4584ac3309365a2a380c64b"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8cbeb0e49b605cd75f825fb9239a554803ef2bef1a7b2a8b428926ed518b6b63"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-win32.whl", hash = "sha256:e70cce65239089390c193a7b0d171ce89d2e3dedf797f8010031b2aa2b1e9c80"},
- {file = "SQLAlchemy-2.0.26-cp311-cp311-win_amd64.whl", hash = "sha256:750d1ef39d50520527c45c309c3cb10bbfa6131f93081b4e93858abb5ece2501"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b39503c3a56e1b2340a7d09e185ddb60b253ad0210877a9958ac64208eb23674"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1a870e6121a052f826f7ae1e4f0b54ca4c0ccd613278218ca036fa5e0f3be7df"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5901eed6d0e23ca4b04d66a561799d4f0fe55fcbfc7ca203bb8c3277f442085b"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d25fe55aab9b20ae4a9523bb269074202be9d92a145fcc0b752fff409754b5f6"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:5310958d08b4bafc311052be42a3b7d61a93a2bf126ddde07b85f712e7e4ac7b"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:fd133afb7e6c59fad365ffa97fb06b1001f88e29e1de351bef3d2b1224e2f132"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-win32.whl", hash = "sha256:dc32ecf643c4904dd413e6a95a3f2c8a89ccd6f15083e586dcf8f42eb4e317ae"},
- {file = "SQLAlchemy-2.0.26-cp312-cp312-win_amd64.whl", hash = "sha256:6e25f029e8ad6d893538b5abe8537e7f09e21d8e96caee46a7e2199f3ddd77b0"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:99a9a8204b8937aa72421e31c493bfc12fd063a8310a0522e5a9b98e6323977c"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:691d68a4fca30c9a676623d094b600797699530e175b6524a9f57e3273f5fa8d"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:79a74a4ca4310c812f97bf0f13ce00ed73c890954b5a20b32484a9ab60e567e9"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:f2efbbeb18c0e1c53b670a46a009fbde7b58e05b397a808c7e598532b17c6f4b"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3fc557f5402206c18ec3d288422f8e5fa764306d49f4efbc6090a7407bf54938"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-win32.whl", hash = "sha256:a9846ffee3283cff4ec476e7ee289314290fcb2384aab5045c6f481c5c4d011f"},
- {file = "SQLAlchemy-2.0.26-cp37-cp37m-win_amd64.whl", hash = "sha256:ed4667d3d5d6e203a271d684d5b213ebcd618f7a8bc605752a8865eb9e67a79a"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:79e629df3f69f849a1482a2d063596b23e32036b83547397e68725e6e0d0a9ab"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4b4d848b095173e0a9e377127b814490499e55f5168f617ae2c07653c326b9d1"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f06afe8e96d7f221cc0b59334dc400151be22f432785e895e37030579d253c3"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f75ac12d302205e60f77f46bd162d40dc37438f1f8db160d2491a78b19a0bd61"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ec3717c1efee8ad4b97f6211978351de3abe1e4b5f73e32f775c7becec021c5c"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06ed4d6bb2365222fb9b0a05478a2d23ad8c1dd874047a9ae1ca1d45f18a255e"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-win32.whl", hash = "sha256:caa79a6caeb4a3cc4ddb9aba9205c383f5d3bcb60d814e87e74570514754e073"},
- {file = "SQLAlchemy-2.0.26-cp38-cp38-win_amd64.whl", hash = "sha256:996b41c38e34a980e9f810d6e2709a3196e29ee34e46e3c16f96c63da10a9da1"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4f57af0866f6629eae2d24d022ba1a4c1bac9b16d45027bbfcda4c9d5b0d8f26"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e1a532bc33163fb19c4759a36504a23e63032bc8d47cee1c66b0b70a04a0957b"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02a4f954ccb17bd8cff56662efc806c5301508233dc38d0253a5fdb2f33ca3ba"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a678f728fb075e74aaa7fdc27f8af8f03f82d02e7419362cc8c2a605c16a4114"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:8b39462c9588d4780f041e1b84d2ba038ac01c441c961bbee622dd8f53dec69f"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:98f4d0d2bda2921af5b0c2ca99207cdab00f2922da46a6336c62c8d6814303a7"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-win32.whl", hash = "sha256:6d68e6b507a3dd20c0add86ac0a0ca061d43c9a0162a122baa5fe952f14240f1"},
- {file = "SQLAlchemy-2.0.26-cp39-cp39-win_amd64.whl", hash = "sha256:fb97a9b93b953084692a52a7877957b7a88dfcedc0c5652124f5aebf5999f7fe"},
- {file = "SQLAlchemy-2.0.26-py3-none-any.whl", hash = "sha256:1128b2cdf49107659f6d1f452695f43a20694cc9305a86e97b70793a1c74eeb4"},
- {file = "SQLAlchemy-2.0.26.tar.gz", hash = "sha256:e1bcd8fcb30305e27355d553608c2c229d3e589fb7ff406da7d7e5d50fa14d0d"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d04e579e911562f1055d26dab1868d3e0bb905db3bccf664ee8ad109f035618a"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fa67d821c1fd268a5a87922ef4940442513b4e6c377553506b9db3b83beebbd8"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c7a596d0be71b7baa037f4ac10d5e057d276f65a9a611c46970f012752ebf2d"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:954d9735ee9c3fa74874c830d089a815b7b48df6f6b6e357a74130e478dbd951"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5cd20f58c29bbf2680039ff9f569fa6d21453fbd2fa84dbdb4092f006424c2e6"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:03f448ffb731b48323bda68bcc93152f751436ad6037f18a42b7e16af9e91c07"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-win32.whl", hash = "sha256:d997c5938a08b5e172c30583ba6b8aad657ed9901fc24caf3a7152eeccb2f1b4"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-win_amd64.whl", hash = "sha256:eb15ef40b833f5b2f19eeae65d65e191f039e71790dd565c2af2a3783f72262f"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6c5bad7c60a392850d2f0fee8f355953abaec878c483dd7c3836e0089f046bf6"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a3012ab65ea42de1be81fff5fb28d6db893ef978950afc8130ba707179b4284a"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbcd77c4d94b23e0753c5ed8deba8c69f331d4fd83f68bfc9db58bc8983f49cd"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d177b7e82f6dd5e1aebd24d9c3297c70ce09cd1d5d37b43e53f39514379c029c"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:680b9a36029b30cf063698755d277885d4a0eab70a2c7c6e71aab601323cba45"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1306102f6d9e625cebaca3d4c9c8f10588735ef877f0360b5cdb4fdfd3fd7131"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-win32.whl", hash = "sha256:5b78aa9f4f68212248aaf8943d84c0ff0f74efc65a661c2fc68b82d498311fd5"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-win_amd64.whl", hash = "sha256:15e19a84b84528f52a68143439d0c7a3a69befcd4f50b8ef9b7b69d2628ae7c4"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:0de1263aac858f288a80b2071990f02082c51d88335a1db0d589237a3435fe71"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce850db091bf7d2a1f2fdb615220b968aeff3849007b1204bf6e3e50a57b3d32"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8dfc936870507da96aebb43e664ae3a71a7b96278382bcfe84d277b88e379b18"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4fbe6a766301f2e8a4519f4500fe74ef0a8509a59e07a4085458f26228cd7cc"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4535c49d961fe9a77392e3a630a626af5baa967172d42732b7a43496c8b28876"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0fb3bffc0ced37e5aa4ac2416f56d6d858f46d4da70c09bb731a246e70bff4d5"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-win32.whl", hash = "sha256:7f470327d06400a0aa7926b375b8e8c3c31d335e0884f509fe272b3c700a7254"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-win_amd64.whl", hash = "sha256:f9374e270e2553653d710ece397df67db9d19c60d2647bcd35bfc616f1622dcd"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e97cf143d74a7a5a0f143aa34039b4fecf11343eed66538610debc438685db4a"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7b5a3e2120982b8b6bd1d5d99e3025339f7fb8b8267551c679afb39e9c7c7f1"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e36aa62b765cf9f43a003233a8c2d7ffdeb55bc62eaa0a0380475b228663a38f"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:5ada0438f5b74c3952d916c199367c29ee4d6858edff18eab783b3978d0db16d"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:b1d9d1bfd96eef3c3faedb73f486c89e44e64e40e5bfec304ee163de01cf996f"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-win32.whl", hash = "sha256:ca891af9f3289d24a490a5fde664ea04fe2f4984cd97e26de7442a4251bd4b7c"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-win_amd64.whl", hash = "sha256:fd8aafda7cdff03b905d4426b714601c0978725a19efc39f5f207b86d188ba01"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ec1f5a328464daf7a1e4e385e4f5652dd9b1d12405075ccba1df842f7774b4fc"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ad862295ad3f644e3c2c0d8b10a988e1600d3123ecb48702d2c0f26771f1c396"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48217be1de7d29a5600b5c513f3f7664b21d32e596d69582be0a94e36b8309cb"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e56afce6431450442f3ab5973156289bd5ec33dd618941283847c9fd5ff06bf"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:611068511b5531304137bcd7fe8117c985d1b828eb86043bd944cebb7fae3910"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b86abba762ecfeea359112b2bb4490802b340850bbee1948f785141a5e020de8"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-win32.whl", hash = "sha256:30d81cc1192dc693d49d5671cd40cdec596b885b0ce3b72f323888ab1c3863d5"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-win_amd64.whl", hash = "sha256:120af1e49d614d2525ac247f6123841589b029c318b9afbfc9e2b70e22e1827d"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d07ee7793f2aeb9b80ec8ceb96bc8cc08a2aec8a1b152da1955d64e4825fcbac"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cb0845e934647232b6ff5150df37ceffd0b67b754b9fdbb095233deebcddbd4a"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fc19ae2e07a067663dd24fca55f8ed06a288384f0e6e3910420bf4b1270cc51"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b90053be91973a6fb6020a6e44382c97739736a5a9d74e08cc29b196639eb979"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2f5c9dfb0b9ab5e3a8a00249534bdd838d943ec4cfb9abe176a6c33408430230"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:33e8bde8fff203de50399b9039c4e14e42d4d227759155c21f8da4a47fc8053c"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-win32.whl", hash = "sha256:d873c21b356bfaf1589b89090a4011e6532582b3a8ea568a00e0c3aab09399dd"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-win_amd64.whl", hash = "sha256:ff2f1b7c963961d41403b650842dc2039175b906ab2093635d8319bef0b7d620"},
+ {file = "SQLAlchemy-2.0.27-py3-none-any.whl", hash = "sha256:1ab4e0448018d01b142c916cc7119ca573803a4745cfe341b8f95657812700ac"},
+ {file = "SQLAlchemy-2.0.27.tar.gz", hash = "sha256:86a6ed69a71fe6b88bf9331594fa390a2adda4a49b5c06f98e47bf0d392534f8"},
]
[package.dependencies]
@@ -6662,13 +6670,13 @@ torch = ["torch (>=1.6.0)"]
[[package]]
name = "threadpoolctl"
-version = "3.2.0"
+version = "3.3.0"
description = "threadpoolctl"
optional = true
python-versions = ">=3.8"
files = [
- {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
- {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
+ {file = "threadpoolctl-3.3.0-py3-none-any.whl", hash = "sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e"},
+ {file = "threadpoolctl-3.3.0.tar.gz", hash = "sha256:5dac632b4fa2d43f42130267929af3ba01399ef4bd1882918e92dbc30365d30c"},
]
[[package]]
@@ -7965,4 +7973,4 @@ query-tools = ["guidance", "jsonpath-ng", "lm-format-enforcer", "rank-bm25", "sc
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "edf61c6e8fcdd425acd766dbdb489bd500f75be8631ca2240161b10325aa5cfa"
+content-hash = "d5364f07fbd28636b7d4f998e45d2383505dfe8fb24eb10cb42f9b148a5d4a19"
diff --git a/llama-index-core/pyproject.toml b/llama-index-core/pyproject.toml
index fd64f393c9..8f089d12a8 100644
--- a/llama-index-core/pyproject.toml
+++ b/llama-index-core/pyproject.toml
@@ -82,6 +82,7 @@ dirtyjson = "^1.0.8"
tqdm = "^4.66.1"
pillow = ">=9.0.0"
PyYAML = ">=6.0.1"
+llamaindex-py-client = ">=0.1.12"
[tool.poetry.extras]
gradientai = [
diff --git a/llama-index-core/tests/embeddings/todo_hf_test_utils.py b/llama-index-core/tests/embeddings/todo_hf_test_utils.py
new file mode 100644
index 0000000000..b242941b78
--- /dev/null
+++ b/llama-index-core/tests/embeddings/todo_hf_test_utils.py
@@ -0,0 +1,56 @@
+from typing import Any, Dict
+
+# pants: no-infer-dep
+from llama_index.core.embeddings.mock_embed_model import MockEmbedding
+from llama_index.core.embeddings.utils import resolve_embed_model
+from llama_index.embeddings.huggingface import (
+ HuggingFaceEmbedding,
+) # pants: no-infer-dep
+from llama_index.embeddings.openai import OpenAIEmbedding # pants: no-infer-dep
+from pytest import MonkeyPatch
+
+
+def mock_hf_embeddings(self: Any, *args: Any, **kwargs: Dict[str, Any]) -> Any:
+ """Mock HuggingFaceEmbeddings."""
+ super(HuggingFaceEmbedding, self).__init__(
+ model_name="fake",
+ tokenizer_name="fake",
+ model="fake",
+ tokenizer="fake",
+ )
+ return
+
+
+def mock_openai_embeddings(self: Any, *args: Any, **kwargs: Dict[str, Any]) -> Any:
+ """Mock OpenAIEmbedding."""
+ super(OpenAIEmbedding, self).__init__(
+ api_key="fake", api_base="fake", api_version="fake"
+ )
+ return
+
+
+def test_resolve_embed_model(monkeypatch: MonkeyPatch) -> None:
+ monkeypatch.setattr(
+ "llama_index.embeddings.huggingface.HuggingFaceEmbedding.__init__",
+ mock_hf_embeddings,
+ )
+ monkeypatch.setattr(
+ "llama_index.embeddings.openai.OpenAIEmbedding.__init__",
+ mock_openai_embeddings,
+ )
+
+ # Test None
+ embed_model = resolve_embed_model(None)
+ assert isinstance(embed_model, MockEmbedding)
+
+ # Test str
+ embed_model = resolve_embed_model("local")
+ assert isinstance(embed_model, HuggingFaceEmbedding)
+
+ # Test LCEmbeddings
+ embed_model = resolve_embed_model(HuggingFaceEmbedding())
+ assert isinstance(embed_model, HuggingFaceEmbedding)
+
+ # Test BaseEmbedding
+ embed_model = resolve_embed_model(OpenAIEmbedding())
+ assert isinstance(embed_model, OpenAIEmbedding)
diff --git a/llama-index-core/tests/evaluation/test_platform_eval.py b/llama-index-core/tests/evaluation/test_platform_eval.py
new file mode 100644
index 0000000000..392d59ebf1
--- /dev/null
+++ b/llama-index-core/tests/evaluation/test_platform_eval.py
@@ -0,0 +1,30 @@
+import os
+import sys
+
+import pytest
+from llama_index.core.evaluation.eval_utils import upload_eval_dataset
+from llama_index_client.client import PlatformApi
+
+base_url = os.environ.get("LLAMA_CLOUD_BASE_URL", None)
+api_key = os.environ.get("LLAMA_CLOUD_API_KEY", None)
+python_version = sys.version
+
+
+@pytest.mark.skipif(
+ not base_url or not api_key, reason="No platform base url or api keyset"
+)
+@pytest.mark.integration()
+def test_upload_eval_dataset() -> None:
+ eval_dataset_id = upload_eval_dataset(
+ "test_dataset" + python_version, # avoid CI test clashes
+ project_name="test_project" + python_version,
+ questions=["foo", "bar"],
+ overwrite=True,
+ )
+
+ client = PlatformApi(base_url=base_url, token=api_key)
+ eval_dataset = client.eval.get_dataset(dataset_id=eval_dataset_id)
+ assert eval_dataset.name == "test_dataset" + python_version
+
+ eval_questions = client.eval.get_questions(dataset_id=eval_dataset_id)
+ assert len(eval_questions) == 2
diff --git a/llama-index-core/tests/ingestion/test_data_sinks.py b/llama-index-core/tests/ingestion/test_data_sinks.py
new file mode 100644
index 0000000000..3c6eb25291
--- /dev/null
+++ b/llama-index-core/tests/ingestion/test_data_sinks.py
@@ -0,0 +1,76 @@
+import sys
+from unittest.mock import MagicMock
+
+import pytest
+from llama_index.core.ingestion.data_sinks import (
+ ConfigurableDataSinks,
+ ConfiguredDataSink,
+)
+
+try:
+ from llama_index.vector_store.weaviate import WeaviateVectorStore
+except ImportError:
+ WeaviateVectorStore = None
+
+
+@pytest.mark.parametrize("configurable_data_sink_type", ConfigurableDataSinks)
+def test_can_generate_schema_for_data_sink_component_type(
+ configurable_data_sink_type: ConfigurableDataSinks,
+) -> None:
+ schema = configurable_data_sink_type.value.schema() # type: ignore
+ assert schema is not None
+ assert len(schema) > 0
+
+ # also check that we can generate schemas for
+ # ConfiguredDataSink[component_type]
+ component_type = configurable_data_sink_type.value.component_type
+ configured_schema = ConfiguredDataSink[component_type].schema() # type: ignore
+ assert configured_schema is not None
+ assert len(configured_schema) > 0
+
+
+@pytest.mark.skipif(WeaviateVectorStore is None, reason="weaviate not installed")
+def test_can_build_configured_data_sink_from_component() -> None:
+ sys.modules["weaviate"] = MagicMock()
+ weaviate_client = MagicMock()
+ batch_context_manager = MagicMock()
+ weaviate_client.batch.__enter__.return_value = batch_context_manager
+
+ vector_store = WeaviateVectorStore(weaviate_client=weaviate_client)
+ configured_data_sink = ConfiguredDataSink.from_component(vector_store)
+ assert isinstance(
+ configured_data_sink,
+ ConfiguredDataSink[WeaviateVectorStore], # type: ignore
+ )
+ assert (
+ configured_data_sink.configurable_data_sink_type.value.component_type
+ == WeaviateVectorStore
+ )
+
+
+@pytest.mark.skipif(WeaviateVectorStore is None, reason="weaviate not installed")
+def test_build_configured_data_sink() -> None:
+ sys.modules["weaviate"] = MagicMock()
+ weaviate_client = MagicMock()
+ batch_context_manager = MagicMock()
+ weaviate_client.batch.__enter__.return_value = batch_context_manager
+
+ vector_store = WeaviateVectorStore(weaviate_client=weaviate_client)
+ configured_data_sink = ConfigurableDataSinks.WEAVIATE.build_configured_data_sink(
+ vector_store
+ )
+ assert isinstance(
+ configured_data_sink,
+ ConfiguredDataSink[WeaviateVectorStore], # type: ignore
+ )
+
+ with pytest.raises(ValueError):
+ ConfigurableDataSinks.PINECONE.build_configured_data_sink(vector_store)
+
+
+def test_unique_configurable_data_sink_names() -> None:
+ names = set()
+ for configurable_data_sink_type in ConfigurableDataSinks:
+ assert configurable_data_sink_type.value.name not in names
+ names.add(configurable_data_sink_type.value.name)
+ assert len(names) == len(ConfigurableDataSinks)
diff --git a/llama-index-core/tests/ingestion/test_data_sources.py b/llama-index-core/tests/ingestion/test_data_sources.py
new file mode 100644
index 0000000000..e2cbb72e4d
--- /dev/null
+++ b/llama-index-core/tests/ingestion/test_data_sources.py
@@ -0,0 +1,55 @@
+import pytest
+from llama_index.core.ingestion.data_sources import (
+ ConfigurableDataSources,
+ ConfiguredDataSource,
+)
+from llama_index.core.schema import Document
+
+
+@pytest.mark.parametrize("configurable_data_source_type", ConfigurableDataSources)
+def test_can_generate_schema_for_data_source_component_type(
+ configurable_data_source_type: ConfigurableDataSources,
+) -> None:
+ schema = configurable_data_source_type.value.schema() # type: ignore
+ assert schema is not None
+ assert len(schema) > 0
+
+ # also check that we can generate schemas for
+ # ConfiguredDataSource[component_type]
+ component_type = configurable_data_source_type.value.component_type
+ configured_schema = ConfiguredDataSource[component_type].schema() # type: ignore
+ assert configured_schema is not None
+ assert len(configured_schema) > 0
+
+
+def test_can_build_configured_data_source_from_component() -> None:
+ document = Document.example()
+ configured_data_source = ConfiguredDataSource.from_component(document)
+ assert isinstance(
+ configured_data_source,
+ ConfiguredDataSource[Document], # type: ignore
+ )
+ assert (
+ configured_data_source.configurable_data_source_type.value.component_type
+ == Document
+ )
+
+
+def test_build_configured_data_source() -> None:
+ document = Document.example()
+ configured_data_source = (
+ ConfigurableDataSources.DOCUMENT.build_configured_data_source(document)
+ )
+ assert isinstance(
+ configured_data_source,
+ ConfiguredDataSource[Document], # type: ignore
+ )
+
+
+def test_unique_configurable_data_source_names() -> None:
+ names = set()
+ for configurable_data_source_type in ConfigurableDataSources:
+ assert configurable_data_source_type.value.name not in names
+ names.add(configurable_data_source_type.value.name)
+ assert len(names) > 0
+ assert len(names) == len(ConfigurableDataSources)
diff --git a/llama-index-core/tests/ingestion/test_pipeline.py b/llama-index-core/tests/ingestion/test_pipeline.py
index f447932c7c..eb0b65cf96 100644
--- a/llama-index-core/tests/ingestion/test_pipeline.py
+++ b/llama-index-core/tests/ingestion/test_pipeline.py
@@ -19,9 +19,12 @@ def teardown_function() -> None:
def test_build_pipeline() -> None:
pipeline = IngestionPipeline(
- reader=ReaderConfig(
- reader=StringIterableReader(), reader_kwargs={"texts": ["This is a test."]}
- ),
+ readers=[
+ ReaderConfig(
+ reader=StringIterableReader(),
+ reader_kwargs={"texts": ["This is a test."]},
+ )
+ ],
documents=[Document.example()],
transformations=[
SentenceSplitter(),
@@ -35,9 +38,12 @@ def test_build_pipeline() -> None:
def test_run_pipeline() -> None:
pipeline = IngestionPipeline(
- reader=ReaderConfig(
- reader=StringIterableReader(), reader_kwargs={"texts": ["This is a test."]}
- ),
+ readers=[
+ ReaderConfig(
+ reader=StringIterableReader(),
+ reader_kwargs={"texts": ["This is a test."]},
+ )
+ ],
documents=[Document.example()],
transformations=[
SentenceSplitter(),
diff --git a/llama-index-core/tests/ingestion/test_transformations.py b/llama-index-core/tests/ingestion/test_transformations.py
new file mode 100644
index 0000000000..f4e7fa9b17
--- /dev/null
+++ b/llama-index-core/tests/ingestion/test_transformations.py
@@ -0,0 +1,68 @@
+import pytest
+from llama_index.core.ingestion.transformations import (
+ ConfigurableTransformations,
+ ConfiguredTransformation,
+)
+from llama_index.core.node_parser.text import SentenceSplitter, TokenTextSplitter
+
+
+@pytest.mark.parametrize(
+ "configurable_transformation_type", ConfigurableTransformations
+)
+def test_can_generate_schema_for_transformation_component_type(
+ configurable_transformation_type: ConfigurableTransformations,
+) -> None:
+ schema = configurable_transformation_type.value.schema() # type: ignore
+ assert schema is not None
+ assert len(schema) > 0
+
+ # also check that we can generate schemas for
+ # ConfiguredTransformation[component_type]
+ component_type = configurable_transformation_type.value.component_type
+ configured_schema = ConfiguredTransformation[
+ component_type # type: ignore
+ ].schema()
+ assert configured_schema is not None
+ assert len(configured_schema) > 0
+
+
+def test_can_build_configured_transform_from_component() -> None:
+ parser = SentenceSplitter()
+ configured_transformation = ConfiguredTransformation.from_component(parser)
+ assert isinstance(
+ configured_transformation,
+ ConfiguredTransformation[SentenceSplitter], # type: ignore
+ )
+ assert not isinstance(
+ configured_transformation,
+ ConfiguredTransformation[TokenTextSplitter], # type: ignore
+ )
+ assert (
+ configured_transformation.configurable_transformation_type.value.component_type
+ == SentenceSplitter
+ )
+
+
+def test_build_configured_transformation() -> None:
+ parser = SentenceSplitter()
+ configured_transformation = ConfigurableTransformations.SENTENCE_AWARE_NODE_PARSER.build_configured_transformation(
+ parser
+ )
+ assert isinstance(
+ configured_transformation,
+ ConfiguredTransformation[SentenceSplitter], # type: ignore
+ )
+
+ with pytest.raises(ValueError):
+ ConfigurableTransformations.TOKEN_AWARE_NODE_PARSER.build_configured_transformation(
+ parser
+ )
+
+
+def test_unique_configurable_transformations_names() -> None:
+ names = set()
+ for configurable_transformation_type in ConfigurableTransformations:
+ assert configurable_transformation_type.value.name not in names
+ names.add(configurable_transformation_type.value.name)
+ assert len(names) > 0
+ assert len(names) == len(ConfigurableTransformations)
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-openinference/llama_index/callbacks/openinference/__pycache__/__init__.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-openinference/llama_index/callbacks/openinference/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index fc29fa6bc18783dc7e3f2cdfa65615d584d19826..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 371
zcmd1j<>g`kf{tScQ|p2BV-N=!FabFZKwK;aBvKes7;_kM8KW2(8B&<i8Kam|n1dNK
zSzZF=7&IAg$@mwf=6U9&r52^;C8s(k=Hw(LCTDvj=B4DM78QYv^3!C#rIC}9n41`%
znU|7Up_dF*RIHZ|)SC&@tCy5moC?-)i#<Lbs3tysB|{M_&;&5?Yq5SPP`+3{FSRHo
zF;hRFC_gJTxujS>H#5B`u_QA;Panw=2wN9yA&@Ldg{mpmhue;#1TLzJ;wBU$;cE0z
l)x-n+m01!WuUAlci^C>2KczG$)s7M9?qU`o!Nb7C3;=tra%TVl
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-openinference/llama_index/callbacks/openinference/__pycache__/base.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-openinference/llama_index/callbacks/openinference/__pycache__/base.cpython-310.pyc
deleted file mode 100644
index 26e2ff635498901f6bf17bbd1f207297e2166a6b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 7959
zcmbtZ&2t+^cAses27>`ef*|!leb}S*+7@Dow6o5ZqbQDK6817HfwCw$@hHk<h;ERe
zX8@>YV3{cDvQ*VNRq-iRxujAdPbnYr2W(Z&$u*VZT$3F3w1+*dKdAk^9$*NNl52N8
z(meFX>z?lS{T{nhQ?`cZ7eD(CQFvL?{+BxAkAcn&ywMe1)41kpT<0v%U0wY$m*F=T
z<U+$W!n~UgP1n>3#|R2x!7ZqEKCr@~TU2c`u)~sD3d?ReoN}kaX?HrDac9DcTM1{~
z*|6$X6<#5j3+LT=)wY6D;c54Dc*Z@WYoa9o68jf}v*CiffO*?JCo1Cng63Y}C2_IE
zc$rT<HQbkk@qxyt`OH&|&+M^1-F;b&RQN1LX4Qxzs=O**7S3MIy~O9ljJUL*@e-eJ
z8T=GKja`1A)|}yIvF5B=^9o-O7xAScaL)1b!1*D*bAew3#zirYonGZ^U8}w1KLW|@
zWj_cu{N^XlmfzulkWQ;Boha_gc4yPs6dfV`xZUkI+>d>y-Er1>qO;m*2`M^FLCB#W
zFWQr%?a1*vP8XQi3ETRTt8JTpFYc?2F_?Yi=Bg8Rxd^cPaNB6nUX2~m@izhyIX&6s
z{iZs^ty{PKUeAey{8Y%uiMwd}A&{bA2g_rziPH+_aXa2}fNOU*2-V+c2km&riMm0b
zwuzjm-`sNi$hj%o1A()0=gwAFblRUS+V=anf7q3Rj-zfzx5xi@OE^(aG~2CqQ<3Bf
zJ}&I7IPOK)mX<d0&Hlz>vl}j{U9bA>C8EI9>{eH4wf#$y-bO8#6p5nEz>lIN-)f71
zC#L#|YI<T}PQ>j{pl#pA^#gHlrzdJwGIj6cJ9TgQC-vo@t~NeMayL6WiA6jlS|!Fx
zyBR0eY7DNa{;hU|{#uW&?FUJLcKOJc*mmwcKN2J6|0LyojU}b!_v)XDPE3eNSvBwY
zJ3-gySW{fVk>8hoDBK0QTXr?C3DSlguY;+?lmcAtH0h$_PY#`Byipk-)?$619cX(x
zL{T3se~?NV*zG$Kr|E{y>I%5w;JK^zi>|2-4MefL=G+{|qfyW_hnd9a_uD+l6MXwi
zO`gHm6!_|2m+nIxq9w>Q2Y2qs?zU*g(NfqZu>pmaK*rGb+8r)FOWWWc+JLEOk?<@v
zhZ+-2pk$+0Cnz(qWrm|9BctBZ23WD!+ezlUp~49-rGeMx7l~pFplr$o{G1?bW&!^P
zvqFRA(_D5RHqOlnL*#|YSsOO+3+5JtC5qg*t_g$FxQX!s#%)m&)`EsPE1N40=gQff
zoz0bob5od`R_n^y+|+PxCR;a6bFhFWpTQiRV^&m$->YPEv%|SL%+0GktJgK2hj7d#
z#Si;J?vU&aK2$QG`l&@ys-8-pL(&()&;&vEF<CFt*tH3BHKD(YYOg`zTAMGn`85dt
z3>PiGAH-hEZ^8mXvqBO3q^AjM^TuHQ8tEiVTG(4`M_uooAHVq)tt$-I$qQgXQp}LB
zpe1}LgIJ8kXYn;yvalB?_9MEFM?-^48ODPav@CwOD8dcFInF;qpGncP@xcOS1c#<W
z9Mg@Zh<XrBkxY$R>F!sKc86v>T!d!Iw)j+Vk9V8>5PA*?i$))^IxxdDFnH@|-SAY;
zSs689C9}n5+O3^REKk`1&r592gJp;DLc8pFkNSQ<JVLMF(Fr_Hl2K4{oh+=~sW(;|
z@7M3v8_O_pYq##-Zg`EGx9gI0K+Y3wXFSjEbh@!p*9hwo6KHaZfJ5LCKvJxaNGN|m
zeItMsl&{b{nI8E=8qBMU9a)F8b(ZGO0lbDcdKbXf48{zmoBH%2Gc3LOjOD0TMQ`*w
z8U^MvjGIhn4DaFTL$%ilm8DDHpbuOFIH|InLG*L3DGI`XD&$FJ(YMeqs(zmOPz^J&
z8eo~y44Ya?Cl(dG8c9*HlcX$}R?SR;YPNh8UzT)9`8t8i1c<`&j|eOgP*i=BT5k}@
z?C2P!7BSJl8&Qx(l(JYwpVuXgCuQ<5bT;Kn3{oRm#Y7WfNA{5QqL)Y#-2jMTx%TuY
z`lj}T?P@F9!|LB_Ki67_>Ui#{73-hFWvt+RlG|nbY&UnH>)Io0SKmkffSidj_|N5T
z2k}8nzJyrsbX(5&StxGsogTalLI65ei(J~!+1!+yW1fa)oy#MC`e1yQhc)s+&)fe+
zZi{H4yyrFN9!yg+J*D8!ISTo+#7vJkK`-(ICf+%`5%I6B?P?Eap6I*!wzjXw48OSp
z78{>y)Y@bJ$Q~iuQ#`BXQv;RTgc+z|ZDJ^gT|nQDF~kzK_@+|HFZCpkyZ6H*W+(P_
zvN;HFdhfRA>!eGj#*E6hrp}(3&jyI7yd!d654!Mo(YuRB%W4J`xE=PoGWL3iIsHu`
ziTR0%s7`da5|5f8{}^NPM*wb_w!~LGqO)5V_R>SWLs+D+iNYH3(Zxtq0kDdOZt1pe
z8s;};(`NF|G1$aA@sQx%!23d7{6dE&=0$<$l(Vup!$?uUX+jqZN;k<(nMv`U^qZ+N
zmQ*v<#+okAWB-xWCjuq5(no4WjavD+%1Gx@)<gaUwUk<3q1Fuo%8rqirKC90O=ZBy
zZau;qSpcM#Rd!C7G@6u$bXO+&gk%x^GA$&vA6PLYYF9geHvSc)X&s6hvmN9(^e;wc
zwX6NJ#@WB*_Vl0WkF{EE@P8{ikSN5*0mb8r(WHdKZ$4MU#?RwihMk65HK2~9wB*2t
z^Q5!sh9m9r+Y!7^789<juhpgOA~sx|T#I}JJ_7+gTz3!%KHB1VTzM2}ry81mP${Sq
z)?vh8koFGFXGaVBurV8yFpT!6@IGA}v^SEev^n&JNonk;H70KoTMEN#j<Hj5^3O22
zLkuB?vvOHCa^=Gc)J@V%6Ys=BCYzq<ENtw^u}~yfWc)lI#)F~&!8IuY+hm-z*n)<f
z(m=~lb~ew=r&Deb_;5eM9?fx!7oX<cQjuY=3)!3voHCTbB+RkBOk}BL;7<X6syM|j
z@@auwcZfYR#H<LL&*H6$8IEtY%6yK`V^xJ#@t0n>M&aYcw#tI@?krZrUD63S<-&$r
zRU^0~Mi%%vjLiKU^6Sn+RbNgnOoWBY!+?I61^J(Yc%!lJmll&5pZJvXho#0!%CmeS
zT6DfodaO1ZrO3`7k|NW!e$O<Smi)e{GOcMO7FiRjP)PE5O>%&vhuT^2K-MtU_Oxw;
z4x0!fzF<0x)~@EUIJXBU=^2{@^9mv<f*|DlKLM*(JMFmb2dD&~qHsKA7|Fp<Hinji
zPBs}R(8%bZ&gD_U{eYHJCjQ{TEjX|TSt9fBilYW7Xj_3Bc!+^Uw<GAcJIvN8zR1km
z#Qv>*C#{FXTYijcM-Y(tq0hrsJ>Eju#dlQF;KbyTAas-az=a1Q798Jd#lY@ISchVV
z6LdE>DRV-zhfEnqre3-gd8^a_(peBIoJJyn1Ohe>p_UhSz4m4Y89_3ij>DgijW%k9
zBp>y$E9D1mkQ`Y+(HoI0bxtKuomT}BNfr45rAhQ%Z=>HrZ77-bGRHX_!a0mc1TFai
z*pH~C=y|H9g494cMP)^Qin)KntHRVu$wXLSA}|=dI-#4yE0VJjtFvQT>8aZMgz%97
zDu4N7G<H#Q{DjE`5<&<XVzK?)fwpfPptr4W=RGqn(2QzZTw6!Ia$Wn9HIlr#X|1TJ
zAa7$YnFmO6o$g~elBk;&qS8n}Wjs^~P+>kC$Q^306POGGl9FOgO4EPCyt=-H%UAV^
zZhSj{n2y!*j$eOlF;ZHRBQNxO%^WrwJ=7-sQzZBZjUfqM$0b$hu+0#R>d-@N+t|+o
zvTc+4DIq)r_}d^vUzfFAZQr6*gn0nX9g&BA<vnZ->QJU3uM<!tQgP85x`~M#hr-7j
zG)G~MyaiCpjgjVK8a+mzBG#nT`FG5wF=M_0+ECOuuNz+*#^AN@q*1m(g7_{K`<M!6
zaObLKmRRW^>QTj>kCG|n+ll$fV;@;YlXyIO3TTitk*G!#?Cml|n7Lg&hQ#zWIk(GV
zkaIzMV(ywmCX%RKq=8@RP%c@)nk4_>{rcUH<t(*}s_m`cyE{fM2QxrcBJ&V!`L_f-
z0)I!qC*Tk`Myu&=#~ai4UjQW)C(8!0Y~9cYZ+s`ICf7GfY(@`7opgV7_y0yi-CdI=
zF+aQipN{U2oba_L`Q7}s0ZQbz^G^z(hPhqXw)Ts==C(Z)I2tKoq>%N?`^9*QFz`;3
zgP@s5mFz1spz{5=g1mATl&*4ifU10NEgP9jN7Ao(^VzynSl3dgJB?@w92#PrAq;wJ
zMgw}Psu(J>{u|s;!t-dgvnk)KyY+i_SL+|uQ`Y4hYb*72WM}XWu$ok78ROwAw3^f)
zF}D0@OO-QH(N}4=p)&p)%HL^1|2ARb1M7Fz8te7MUS7L>=T`mR>RKbMjuh*+->a{z
zP&L`kn(L~PQnQ{bDI_GxjIzWOMtJD~x9C`H0>?zBoUtD2@?SuR-T|-*2E=9>h8VRJ
zrE?5Ignx(TGvjN!#B>C^&nm2ZXrta@Amn9i`p|ebsQqqYhHsrnZ${?&*Q6|9l160)
zm}&?an4}K|%YpFe?+S<lj+~y8Iv@3Cg0!@qVx$f+^Q<ST)DE6wUO!DMj<z22r@At4
zLv!xVp74Fgsd}ar^rNklKJx!@wO><(z%)(L%D2ChTrb$<g_M&Kb_S&$k5P&QAuYy!
zUqUrT(NIdKY~u+sk;Na8siK5%EJ8R=rPJvJkE8txd&oY(;77j$d5*7^8|nxR{1vAm
zl`a#gv9wb=_1t`(QZrd3pmKMrF{(0|B&(Nd>R(ffDrxco0TNP4wowWKl0Z!0Q-EY@
z80a)b5R8HyrFb6_iVAz)N9!N(Ms!|FgASF9!*h%svfT8yXJ=8YLlj`5U(K;^nPGp!
zW>B?+-$V8Ca9WMAZ&;pvjf&=1tYH6!&0_YOle6|$)tAoMlD=1aEv+TKhqgQgkd%l$
zDkc+=Bn?b!zT^PXC?`)YGm<2;iHSBsPD$<{y}KfrB1(zI6!8=-rwRY{vA@{hZ*M5H
zk0Q!wk^ZXUZKZ$Nk~4&T={vBa=9UQkl<4F?RsBg7q*SR)UZt@&2&git3c!w-_!do2
zeJKq;C^=W;7?VfE9O6r2T~Djx?~)6M-UKi-%eD}5l=1JfUPcksV3g}yI@nM|zW;hf
QFI%T`>`X<k7Ut)E3o^YUj{pDw
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/__pycache__/__init__.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index 0a39a97c68c52e14818d36dd1fe804dc7eaeca96..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 226
zcmd1j<>g`kf}Kr!QbF`%5P=LBfgA@QE@lA|DGb33nv8xc8Hzx{2;x_(erR!OQL%nr
zYEepJrhY(CepYI7NwI!zW_nR#NoIbYeojteZeo09UP@{Ogslr^1Idz9sG4H^<iwnu
zq{QUxViYBCQQiE4)V$2RwA7;1yyR5<lGI|L74bkrGfU#*^$IF)aoFVMr<CTT+JT%`
J%mgG@7yzU*K-B;M
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/__pycache__/test_openinference_callback.cpython-310-pytest-7.2.1.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/__pycache__/test_openinference_callback.cpython-310-pytest-7.2.1.pyc
deleted file mode 100644
index eb3b30a23f370bf19cc3ee58ad0a0769f8469f2e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 1285
zcmZuw&2AGh5VpPfPg>DdAdo=nh0+!3rj$|+l&VmW;8K1nE|HMstetj)cQ@EuXv^k8
z`vTlJaA=O)cm*yzgs+@<1x}2eq@)N-p8Y&C-+KO>PEFMitig}(;sr+Nr#(zA0*6i5
zdIJPU981)~?n`2iAdKQdtB9?I$WmNxl^ynEC9bxrfD62Mf?73>caUHD1^+<XJ~nd?
znHF12$~Ft%JYfl!LV^0~vz|zvCLN(f68>usEqT0(0LrkpVC!!nIOgO8WvGiEp<~=f
z8R>d`oZ}q5Lw%AH{W2?@7P*&`4(0``?~nlmmz7S-1MtxcV6S9kfYnVvRf`e~cEC9v
zU|u@&yk|Xg1fHAD3J5$)y!^$xg!&$@@M`Ww7;qu0fk!<r4Dd1j2xTjvKJF8apcu97
z5bAxlY@I#WJFxXEh+UMU*F~E`7kwgc$qxF8phOi)6BY|fePT$kY;ao@z}t!6pPR3=
zP`a52#aYyRuF|duGu@1%UB$8}O`1}&n9(TV;$VoE90r+*k&kYMqsHiSE@#@M6uK0R
zyVT5thAXV3=L~dA2zrO6wk{)`g=yT|DA^2cy0hrWceK6X05}3`OA)Ng6v%o5z?cQ8
zlPK}=(em}h-r<U`Yad2n{{Fm0%f1fAwW;;zqr_=feXZ<W=Ax~drfG+^Vf1Jynbt!4
zp7DTc#flZHN7GiXGDlwXwN<Y94P{$n%9O?`rPTdV*%36g&EBEQfhjZN5}-=-lueW=
zVH#kj?fpn*QKC(0n3lOr^<KI!xpSqvGHo;Ix@xLaGduk~Wu_mvK%i-ll}eSFqn%X6
zETiI}Ct2d!=@(VqMp3ud3<JM4dAL1142gFp4|o4gjjFi%{I?S}M{Vcp0zSp+8UVj;
zD&vIIoMm32!x99;03hH%iT5hXgsGmXOnIbJGr(!xn3%&LOqB@6!=eM%pV3ITO1Boz
od5?!PI5%yM=Gx@KoJh|-50_(QJx=+)6dU&8X*-7tsDT^aAO6R9?f?J)
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__pycache__/__init__.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index ed25a88d6ac41a1557862899d8ade77aac274d89..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 355
zcmY*Uv2MaJ5VaFfD^!*ad;(Gi;*|lRjtr=(gjiUtBR(M)JBe%~!Pj)|XLRBpvNG`t
zOk7eFg_Hcw=X>woxfl)yjADBJLrwWo7u|@c_@LuQ1d1tcnB^PJnTmFN6RCK`lHQei
zEaBDrmn&=;mT*G1fLs}Lt{(82#MRgsupo7=@R(*`%oeh}Ps>JOYDKyQj}5<ik&+lv
z{xa7meFL{2v8KKkIXVSekk>b6!3(Q*4uURn(XsfyPZ~SIfDeurt@jh9eVueRdK%a=
eM3*7yM><HEmZ$1<W(##NIOnvp?-9JQL3{_t32a>e
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__pycache__/base.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/llama_index/callbacks/promptlayer/__pycache__/base.cpython-310.pyc
deleted file mode 100644
index 6f3d849fecb3564bc22fc408f7a43bae3bf5ba88..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 4455
zcmahMU31&U@$LYE0Qe!1mK7;>VmeKlGHs-^=~r6CjUp?tQ;F7C_H=@o4g&K|G-Lo|
z4p3}qz-cG)OrFw7pPL6O(>|pCpfmje{SEipr#|PYPHcDgK+=@#q`=%^?{05zcW=MY
zuhm=v&p$r?r}$TskbmP~`Y~bf7PRyZbewP+5f8sCqA~MWY<Na&dS+bmO0nfxaoH<V
zTsI;+c05PJX5_{ducF~nRE=w1Ev|cYJ+`8mc-ET*xa>8!?KR&e+~MwB!d+20G`v%s
zZj*N9KX5wfv@K<<Ci}{~7<MydZiH#3>??yT>?c8_O4kzrl-Ui^tWA~kc94qAJ{J)T
zPT^oJh@u-o_tvE#;gOJSrYdW1uYV+x?Arc7sHz6Hg8ir;aM)8>yBTDgB29yyIGB&3
zAP&NWi#tnQm|yA-L=uDtXQ$`;@gNe&&1kiYTu(o>(IDNTgb3nMPCRxUwCWkc6eVFT
zl0_oQoUMQcJzF>cn=7OTqaDUsfx%7T@DjIntWU@e<z;T)t$8kgo;yGTDCjklyS#F@
z<W(HYvG}>kS`~1r!YU~3Fg&lI#cR9{__dIDb&Y{oGl+o=_?Q8nW`)HYVrI0X$xq!i
zy;(h5(t8Sglh5(fu+o6D=bd@p;?IaCUl^UNao|*>wK%3Hteq-<mY)F*PT?+o{#*Bq
z&v*G*{v6=XeL_s)odzp;K{dA|+(EVx><c-%<%8G8*WS8W+<R-MFI%Zdc$oBBS-&;V
zdm`Mk)a}PhsyvANEa;{0sHzm%o=kk02)VL~QKxH6-DwG68ye1~9&`r{PQg7$Oov9y
zh9)JsnG@g0jY9%o^LHevm?SIhpQQxfti+8&`Z2vtatiBK&Y&-6_95AIdU*Bbrwm;M
z1T1wV*bPC$?TO3}2BCjT?5k&{B+!#me7Gml?BI>9NPyk9!X(YW_FE(Etb(Mi+hKOI
z^}!$<Ojf6;d;mwx3-k;hcFHXEv%VkplD-sbu9ye?P0hAluQ9cMX)g<-R5pNF2~mZp
z1%GOFnnyMF#0rX3xf~DrGFz9jFJ&Fc%pjRkx;GF~*}fkpVdneok}^{f?L0<#eCC%B
z0(`$41!?O0Uy}QOS-zeMnJy<n@*rFWUF?c(mM+I(PX_3;%i5KJGWd7_zp7#AGcm$R
zm%F1Nk{&~u%)UA$=P`m4jOA&J8*n{KgMGOO(w%~qE<nfVEVWpbRw;wme8e7ErbXxI
z!5Lusgn2KGRiW%m23-Mm+GRjv{2+`rvj*)e4CZJ^U($|z4&XME&%#HZ!wx5k?s<Sz
zMPIzHiJpgv6e*eX;Q6QUFomj|f{i#B9CH(Nk1-#z1p|ph3oeW)F1|OOonplSTPqlO
z5mpOEN(X13!pH<sIfa!18_F&~bl_XJ1KCTDDF_+E_FE*4lIJWVyW}1{BKO!4gyzq|
zA9szMLij@;WF64j%YdhvBR4Bt#LvQ5v`uC6AcGtb3uPqz+n^2rK|k?8z66`vBU!%>
zu%>cS?M}eCuNi(7P*Mvz2Bt9k@Tu}nkdKLkH-&8tDWLO!01#Xj$-oLh1g-ftE%+H(
zfad3f1vnUEG%K$oA*5J0pUTDrQ4!@9+RiYemIp;LRn8!g7)-!8F<y=zl&%a->;9(z
z<P>yIZ!x)$Gfws>e90~(K2CEZq&d51Wae%uBuDJ8^iLEbs{uD+bmWBnwk5HiQO3r`
zru>nHfH_$~$lYGQdU<u@vbTN_(6r$%!@PVAJ5Axo2;tqHyp?)CDKt^s^&5bq72C9J
z^wCFEYCSTIgY!=@$>Te_=z`-1!($bi7XLHwj*<9A>S*zatf0wdY!?Ivb2N|0u#}ZR
z4OUj(wU6i_9YVU$Bj<<?%OltY*v=|L2b5RM4NgC$LpLPDN^Z+9vRYQpW){KB^}g92
zDD#jFtGT_~xYvXeYT2p0mNgGq`rdowV+#A~2d}{D+&v2}0<ecOfH8v@GRkLQ*5Kw5
z(@<#wSqSm+=f<#}I2!*n;O_wzo>7M+=s*&j-~U6A1m7nKBtUL+=Pt>s7s(;b>)idE
z4J#bD-fiqY^AV9>@Ty*~@fy?*l|`cQYP_;S^3mLzBrnUqXA46I^i&4@)IbM|xx?$Z
z)dN}b%HL@2a*!XsWcS&;*2D2E=%WPVGtkcR#;5LZRy%vM1Ac<0p-OvL2CCXXM_@>Y
zw?vZaY^)kkG>q!L(Y&f=eMq>Y5%~NsfQ0-dc4#_X420uHhgBGCL;GqDx*oXe@2w%t
z={<5p{>(mP;IinNkkCvHg)ii0w)C1RLtH_gPTH!w5<y*zJY9%km-gE^a`5_h*(Suz
zrIn};IV!yXz<58LWRFfs<<Ehba<hIv@-dgC-ztUt6<`)z{Td($mv6$yb0%9)a4dg=
z_|Q_Uqb!Jb)+6hYYCv!ci_+dN;<mDiqPuX>9{@7k4%P+j=d{<$p8zb|*u8??51~^=
znn{TPtOx?u*3~PUTi2Ak2A_@fYnQKdlznx5d+SPPdtIF?R{f3D_t&rbYnN89`R`os
ztRa@)S>0Th7?dT3EQyXR(R-D>xxT%<`tJI+ynu5nIOm3`F1nH~<N+DnmMEHX*6(zM
z{#}u8<M^fH$4xjoap-9ztBas{gtWwsrv@;LUEb_CFX?QEnaC=vR=JNYRoPOcgMN~N
zP4Da_T~xH61hMc&0UXj;0KxnYq;nsWrhE%%D-(Blu670=jZvG0SH}u@d~C>1T(GK6
zf*`Q;F3?FM=$d7d)}hqFLdV3$Ou9f_m@^rJ-evH@*nZ%aY-;`yu^`l%j9L$?B@5Rd
zx~2)Uuv(N#x`%R!v4<wCSXe&6>wa}`?*Ev7krY{{gXv@mxYHeE`{Fx~H7Baa_m%7W
zai8x+2v>do!@VFHt(1MA_q)C?G07DcauFak<NHC9KuAC>Lp53yv*r!(C0+T+7Z4w-
z5cwi@SSd&h3_67sMu%xl{tUZo(5c#}wC##00)mfI_ZdXNI!5BpCbo13Iu~lUStul4
zWD9jx0<}CqB{dE9fSK+$XUp^8bqr=)!+pRUU3Y$s<GRLR-@u-)0pmU^yZ>bk*#FIw
ztIhlR%=Vo2L1jS=0KZs;AX+%>Gg>zmGKhYpT2oaw{C-KXbVG)`hgC5Tk}T{NuJiH}
zXp@3^35#fd^m8X2Bzpcku+#2M5eG%U&~?G-Cy=8kPPK2#OUUOYcBsiIHEV_ILfKv^
Xtl<Ji^%VbhY|^4tEZRm!J!kw6uiau~
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/tests/__pycache__/__init__.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/tests/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index 40851e1f4d3ba818416df78884da8bca9f85acc5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 224
zcmd1j<>g`kf}Kr!QbF`%5P=LBfgA@QE@lA|DGb33nv8xc8Hzx{2;x_>erR!OQL%nr
zYEepJrhY(CepYI7NwI!zW_nR#NoIbYeojteZeo09UP@{Ogslr^1Idz9sG4H^<iwnu
zq{QUxViYBCQQd-~{M>?)oW#o1BK?xoVxR@_KqE6t;^XxSDsOSv<mRW8=A_zz99PT)
HBv=>#AY(u=
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/tests/__pycache__/test_promptlayer_callback.cpython-310-pytest-7.2.1.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/tests/__pycache__/test_promptlayer_callback.cpython-310-pytest-7.2.1.pyc
deleted file mode 100644
index 38e5ff25f91ac439dadd0c9aea0b7160f7792bc6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 1269
zcmZuw&2H2%5VoD{e~V}<5FC(tp%9^FODW~hvMLlL4ydZAxU7UM@7mjDagxPOp<A*S
z+803L$f0}W#w&2*9em})D{x}${b4I%$&=6HZ<3k$Ch7cq6~Ws7`9o}Bgnrq>>>_a3
zfvp>0IO15MCU#E}djw$=`^^HjH$)cWQnTc+C(CiASpn?x!Z~VIIX*x^@i)8!?FHB@
zJ!M+#GAUcE{q_Y*xD*Q9i~A~#d)Z6Y7i#Qn+mOjB04TxUg{{AX;h2+il%XzuhR*N+
zWu)s3aE^2I9t}uN^sCIjC~z+)9n5{}?~oy+loc;ZL*VEYxG!g9h}Atn6^jxK_keRe
z#Jo6VZdqoIfVtyt0RgkfOJBX~XyEZOujF2Y0sC1M7`5CV;xqgSn&qPb9uSV81=YPa
zba}dLcRkn#u=OICLzJU81zSQFeJ1b70s4lZF=a{<77I!PVo11Va7+2XcIMBQ`fDwe
zt|vlq7S*ALUD3{TJ&q0)%c3-?OUYtJqlAl-5ngo|Y$nDWU2l)&(3dDv?`qF!Bds>|
zOlbIkwRFZ!C*-i#H`Q$!>8uTUHj1`7Tk0Y@4P4OCNOBjzT2h4DGKFB>05FMyvPqN#
z_;l^|-Cln^(AAG)u>5%0qP0MWlfG03%TeOI8-Z5#TjrYWn5JomwqV$3TQaSM4m{&Q
zs5R@>Y@A-PewDf4%|Kh{W-zC$ET%+htWrwd8<ibDQ{CzHT@6f`1y=x7qNi-3ObIgw
z*R*vU$t+5=DUQlAH>f^Jk0p0hdMMKtlTJ}np_+AseS^93#3cfPJy$AKW{GxE6|;<r
zlb&RWlQJl%n$4nSKQl`F{_Nqw=r9U=ID2^XZ(>y0_2<7z*c!E+t*iI~t6Knqnki2T
zQcE`SCLOgP93=n=he~`<Q6@}f>N2IVPc1-9^Ull+hV4{|a55}9boz`(!gad2a)~_|
m%y4GbT#ysVB{@@^`!QUF<?T4-$5J%xFQ@GkuAn(Q=lun`3UcEB
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__pycache__/__init__.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index 52772321900f9a905c4ca0592a59da212a9377c2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 339
zcmY*Ty9&ZE6ir%15#7YuwL_a95D{FQL=X{NLfV89O<PGS>Ua1R{(-BL|IpRRUvTpF
zL8%vVl9O}pxi=XMdI;+AdWsP4cTSpR0hz%uBLI##Rw%+dj1jj&ytBByMo#Mk8gg(p
z+_ISabEcHfg2Muc5?bdGOUKT}O0kGh8FO**g34sPbKc|m%!tC7btnam(mT>^=q%uS
zBOA~SiG}7&l9f*OB1jF1WT;sxlbAHZ%ePw$0!&5aF{GaQXQ_YPVwb<DS|g=KVSkxY
X>K(6HcM>K1q{I}%o~8xRM?L!owzg#~
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__pycache__/base.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__pycache__/base.cpython-310.pyc
deleted file mode 100644
index b90ae214e78768d26f47cc19f75311ad344298fc..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 16413
zcmds8X>1(ldEPnp8ZMWID2h5gIxJ~zdFd;*qbRl|iaKnGqD9Jr$99IpoguZ<&hGk~
zSxek3+aNOHBCV4az3Zfv(4>I>C29Zk_*I}q+n?>9VtNHFP$VddAP9;izSQS^=in?w
zstyYDM_1a9-+jE_dw=h?1_!kaK7ahhKXd+iE|d8;Dx^Qu`aHhg<5DJLXKbmFF~Yx+
zA)zccWLGg1iRzSw>Z*pyd9{&sb4Je18+o^26x^awbTvbB2aEx?WR%=NW6&)dWp~IJ
z;{MsjusdRma6Z=<b+;MY+%aR!-EM4m$Bl8W&o_3s6UGGR3yq!bE@Kzxi;dmx9%GM`
zadP5q>_cnpb@v$$aN9sbclR6nIbUiVa1R;>-9yG9_d(-9_pou;Jz^Yjj~YkaicxVN
zG9GdtHXi1_gN<YEBgP|`bI3X9Jm?&84m%G!hn$M@kaKjYxHDr^&t~khJ@i(_9&*aJ
z6k`(QVS5DS5oZMDM{Q{?QyKj}L35@e1p~ITWOW+8U9b5l7HrFR{JQH@v|w=lmDy=?
z>fH3yi|1#~2Fl6iYEYQ68Vzf);RNbwj0n^Vb<Yn9m)d^4)wCKxVa|D@<1}kdke%<e
z(XBYY+IDR2o4wLRCoHn<l;t@z(V|tme$Hyz4M$YeV0ixg#p${ElNV>rGnX!3JUJia
zr%p}3=`{UdAj;5WL5b^Tt<^@$vN7G*vg4bLhHLt*>rT_GwK`4TLw#wU%2QOt{8BJT
z{kTuP%N5wH@7J5l-g{D@`NFC>rY{`ly<#vl)pFY{j}CfPSnX@U;Mv*vX}9gKo^RUD
z&0q}07oF7`En&}7r?7ScwU<x6IDK!+F0{<mT>#|XwsC5E>B5{ZIyHaJZ;5EO66)u%
zopA1LD81~|(46iv*Ku7-gqy-4%G72pJ5wzj`KDi^OHO~XC_Im^_ZrB?$q=a+@|BFE
zIO@)fleMK2>v<XZoRfD{TUk=LRZX>KQ~4a{3*0Bqc_1QYE2R1qQ+X|wAK-k>(Hzw&
z&^kP_#I*yoD=rUiD3?<+45jkJoDX+0!ugz2aMUF^nrAfCzAcp>OXatx^5d!e4$g;g
znm|5h?<D9rC7L~f(XJE7gTQtNrK>>f#mk-MNwMr1g_YK#=@a%Uc3sQ_xmv5aR9_DA
zZP8l6wFWt$dEH+%a>A)M>mV%OTK0nMvS@YMf!efOP*k(!JE(K5<$BH77S3QgH*1ZK
z?U>h{RWGTmH&c~GtJ!L<x~+~EsBX)4jA4*o>xTKJ)i7(<tmd*4U{$X}ODwfS%`pai
zr|GrCV#^Y?G3>22Yi7D;z-?iREnzONx<=8n-gH28wiC#8JJ7D4im56ncoBV727`iW
z(jiPU&`cA%=rkx_GR-$SRwHZ?MWAM&c)kdROw(%OxE8S$&osp#nna%3)x}n;AxHoO
zDlsilpeDlX_cG!H<tcgptCLqeM|hJ>N7z<<ayA6BH|f@w1<yJOKIU3xo#;8tKf-yW
zz7zHFCTkIw^7^_YwU6AOOYWO0X`2k&7QySP?N#w0c11h$9!H{ON>WK0#W($LTpGr|
zux6~UWuL_3?;&Uc3w^vNm34x)B||C7;XnJ54dQmPKv5NcLD0(*2#pEC&Jxi%AXc>I
zQu(|sFKKUQmL$7i7vCB*G|Z(HHG9?`aEf*bJqLjLjQAKi=;ZA(zC%vQ&O7;~63d&c
zF-W8Am$n?k{b?n8)ZX@1)+pPT?J>-q$DFhS)!uH8qkf1^V$UUQJEHXq)H6B>_0QQ8
z_D=L4w&(3#_U^Y-V+7+a+k5Q2_CD<I0cRAc%;ZXc3$||WNB?cy>j2sg_VqY~86UI{
zqsN$i1g%H$t<c)h{tEU(_QP0ZyL}8$q+LH^SF!Ud#!cFfqGg<CehjTU(7Jv$>hZY!
z1ZJLK=;WPI`$?QdwLfJ)g>gH1rg&W5+0_s6{u0&$+r*4d+s|O^ZaY0Lxu^9Tqw`~>
zPus`Qdr#7v_l}h|8Ii2;8T$mr>`lhpyR&3;w904gXE9>m&oJUS`+1Cbpl^ik=+S&9
z?NeyoZ(p%bI|m{xnYPaWk_YXxxStSj&e`YD>yZ6|^I%l-qJ051hk+Rv?HS~byq!@q
z#!)cpmxD28)Em?h>rd27Ca%-LBuPin{cD!5H(JY{?vPsI>3&ORDz9pqj?c`c`RU{6
zRrhrKxAaBFxAY~)@;kz*>hsqez2iYV>o@A?)6`oXp%ddI7I93+8W`&6#DByRlo6iN
zwN~|zNk?mdt#P-7&9=QjJHiHa)@JV6CANTl#iyxzyh6uwmO2d`oL|RQI?Kz@h<Gz^
z);;j%dY8(yvGkl({k*T&tTvqtU_fg-)W`JJ63<Fi5s>I$3^dfa>mXxz#Cx$CUW*sF
z9?s_ZmhgEO4n{|FhVv01LjbqYr(WwcEYVm6WH&j+DuMXIg^So~qv1smoX6I-fL_gN
z>b#Xjx+(`35`hy#ARX#89F~p)`Ov<$e*F;~V?ZsmA$gz|hr(q+cOCy)%Z~Paquyxf
zBr~JShWMdL@gIl5wF9ew8WC0zQt@_4)iu3PyMwT0^)8+mhid}WQX95nObRDo5-m5J
zkvEzw6zwS79*`0n6Ao?^FwhtJRmlatwMcpjHVqQ!UyvtV?9>~nRgYme1davXI15&j
zwh^CU;n;c;LAAe8Zwa0>9L>Pq&|#_5tg&u@JLRsVWgX`n!Hh8lYvHIKRDQF*+=O1O
zAC2vlSIKO7HDy%1{(9xO-asXAEgY?rwnkT+OiB|+6WzGxG(&WyL-J~RxLP&o9_|6?
z`+v3rS}R<CCMbwb)3gATpqQ9E!T9EI3C1?tD=CG93^mfN;?FQLq^3dL$awD~>5kg4
zA{v=BSPw9}C0Aa{Nts@@mob%I4yk%I(;QGUes*=Ql%aoq)>dvwUzBdZY`4`0jPW%X
z<7+U+*I<mV!5CkIF}?<4d=19<8jSHZ7~{Qsuh<*tX}zIdp*Pqo_ex7e%s$+ckdE{+
zE2H=-E8FZ$Cu3*dk+9B~zx@`qj@uceJCgE5Pi}wC-+7B_clo<9ZkL^VhkEYmDdKuh
zX-dnPHKnJDH+m}PRe$fT%*wtV>g@bGGMVBK9fcVIGb$r?5Ey1RW5*z;H#&9VkRd(m
zvkeEl9s~|#0kzeA76tl3yWUPJx$8nz?8LONT8F)Btxm%>+X8~Y?1)B163<hUEKcH&
zI7Rsff-DaU#=?a>`+60Yyu~JmCnnG*$eCf60T{WlsT&NOhn*|@X(3u7m`JI_)fxz<
z8u2`_i&olA$sS7fQnHVd2Pn}g*-yy<BvA0rlTyvLdeKbqaKMC70dYY!fr3QH)LSL0
z3r5Wl1>06#c;@1&2~%RwtaU`RS+XpmtZTK!c3SLtO2%l8a@zEFM3D75V8LW_kS%4J
zmEl13oW_!PE*Y1=PE1oBLFi{XC9LhDY1SH+N9GCJ9iOE+t{`~>U+)YOIbVPppOZDD
zGXAM|<-5mn@*w5Y|8hUhmBwUE&PnJgmnBV+@0OGt_t8G??!5|`vlwe5=TLw$QjHH6
z0OBF=*uKn1f;cFIm4I9kf)eTq!8CXM1~G*`nkKV~X#7Rm_F*J`22>^Y6kB>nSpyBP
zNWI(&)W+MO=sTb+Dgpmx3r?>LyCc#pP$$IG7gtkkG!neTK>PVL)vWJbKbqpm;K$s;
ze3;}gNk3<uz0%NF=UC_K<Y;;o7UVG<-YRD5ai7g+h+(83#h_%#It%_y7mNTI_YWZ(
z?X+&E4*H%fUIi=zrEZ%QRS@G8vy?1QZO&@9!LBQL@iNsJlu&o^8YQn&@;M|ymN&R=
z*9t<ipxkOk^uj{tTd4DLNXjFlQcmg~+!SB>$JC(TCLbD`U_cdxJ`4aa2L@y#49F4&
z_^O{}-kP%s6O``v(r7>`+y65pNTj+j0iGG$TmOX$3)Rff#3jmIMpDUbdbxD3Vv!Q&
z8VTzNO34iYfPaAw;hheRN@c0L|NeK15kVp3>vg+Ej5YpHp1xD~dc?E+j4$!s$t*h+
zU%j2ZL$WZ(u3@=5bismlbqz`&PgteX(hTb-6E9Jbbbvr<wr&Iip{ixF<5&()?NFBu
zCmdjO4f*)rqn!^(Y!3(2H$7l#02CRPTj2jSS~~tvJ~`kq6ndH4nLAK4Am)p{<jZ{6
z)G^VXr*;zJ?@2S2g1CrL8;?lSiX|jQ5rWI+vjt_?F)8s`QBr5E(|`>JF7im)_CKT5
zBUe=+S0;I&cK2<1;AB7zyfyg{agxhx3SaNLNV-=*lu)2{X4as%fIKrRxK5k>I=<4w
z1>4GXRqQ}LR2W-@N+hqzNsBBdX?#3_=D3|Drhf;$nqc|srJgM2&^LEGk5&n4QD&vE
zQWP(Qe{XAcuBX%`77J*(Jz(c4e--|wxhRG5S6XdJnKit@bj$vrUFfOrX1<Plp?<HR
z=bHL+D)kR@H=r6;irqaI$c}~K#n+D1K{mFx168zIKI>oKCqUsTLlDLVS?=B4iNVWc
zzY*+{u~!eDs&@CEvFeSKX}7V*alKMz`VIDxrS+yG{FHJ+*2IlP(`#EzX6J#@aGFdH
z!HCI5Pzpc9Ic&)oxO!@y79nT8IExxFLpxP~OF<sCzDt?n^v#;XuP8y5RlQ1<aVr?8
zU4vz1HsL4mj3S+y7dJG{^7#VE*?@TBI#&1rzTQzJG7wIM3Nj|;J}za;pth1s<pMmA
z5EvhpvwNh%7v#HJ2o7v7b*3Q8)?83rSMoHjVgGJ05Zk_RbN9&@!u<q={|W`tFFF}f
zCPZA3R^)f_Z1;6}O|g|V)mK))m3qn@$=m5Gw}E0Tb@IfqRtmRdakZ=Wq?O`rEo`x+
zwX7et+VIh%$J1yZSj*YjUapQ-pmYiPyWGp(!LuN2k{v+H!PS?6mU*D%0NTsF2z7yy
z(pvuK@=e$@^p_A4*1)1av@(ocE3g*G2EaoabIiOo3jTAYO{Olq1LP=hZYHS8radg`
z$hxoUue3UBK*JP(rR|bkYAv=pz7Fh6#7x{B-Wo?Z$MtKz-}a7APTH-SSG_^%U=?2N
z<xU+~F`0BusUK(H&LQGi*zl6I5N_`nHxdfzP<G%>VPyx~U-v_h+rlC-o|^Su?JYd)
z(F7TwLnY_O10X=sud;C?qe`qok@KIdZrUxkrX3}*TLb%|_V}ba4eFmbg?IW<erXK#
zz?oLlA>$tS$j@i1bTd)s^qS|Fbm|H}TyhD}F!|#<WF+C8Ej0;yOR&3|fO`+zguFuJ
zF-iezrdyaKu)^av&zvgAGtJiN(Q+{KB$y6aUS4HnoiPYf!2`L4*P6EFU&G7LO;|`?
zP;jm54o=|(S{=R>NJc!f3R2pGp=g=dGlXZQ&;upbsCkbW-bCn+GA)ldSPV+hp)PuC
zU-Fej9hbl;P1o_rXBp(YYaPGdfLFjJRt%}hn(Hb?i_cTiLt>1X(R;F)x({qULM7gh
zxJlhNNXo&uKcfI#2qEh#3=K2uBD+Wi%TncGs0(0Ru#(1QFs+Z(>?rK2?tx9EY2Tzl
zDLylq(ZOhligxQplbuumtvH08^(hym8Iz{Wg7-;e*vpY|Aqb&hK<KVO*n%Ud5U*-a
zT~T{7c^|-Ul$C5ROMV6D$9by)4skkKX`M%`JLVXF66afVop27bqc4S1SJ?X-(JQ%<
zqb`Kh%zqLp0xhA=b--ZAISM~jg4h2$ryP;QCv(h&)U%n*m%fOY58zH>HV`+{sp9(~
zu8?8?)SGB9IaItDXfk3Z@Myco^@Z?ZbuxNrom^)?$06E1ye}>=@FSn*62b+*5S#bR
zOMnH3)~}rJ=R5ae(f`bT;xn!DADnc3+R&|Z5ZET(LIPKVN~S$j92Z6WAyTX4f}{8N
zYa+y{Zr}%u*UVvz5|~s%`v~`la55NV?`%Z8UTnJj67As~N{BLoLVPjCIw=v^Y@p>a
zrl$>is1iw&5>Of%mhr|ZcPpEc>}F%J&$=*~8xF=>U>PF5j0yYH4APVnf_(~wP`v<I
zLOW(6Rm31U@=Up>!l4msuF#XAaHyna@B_ZuefkR69iHU%*w;+h7&21bB1u4H!U&R?
zDFM%SCcc8DX8=ah_l&~HNc!`Bjl5;sCc%yLK%+$ZReY*Q>l43@7V#UD&<Vw_Qqm7)
z@g>xqCZLj5HLR-SJ(5SI?qi#R^?o7%B8H!{;3R`u+Z|%15-OkLROe99#}Em=^ks&4
z9GRYUI`jGj*#)-=)>03zk+2g~lx36^Dg&;>9_8C$kp$s4<Q};Vr0&sE$+JO9Q)jkF
z^cL2^;Hv^IZ7ddgPz2@3!ZykT$xuP2t;f*&P3rJl)FINI`Fw`9-g6@`Y06mw<|r}+
zRfULA@2U#)W;o(hxqEnXpl($7V^18pG5f$qcSN#;!PZ2E!3E@d4H_?jhIQfb&>&k0
z^;ObUrL|lWt>j&2PaO2(UiMvh;Mf<fyrZt=F;f=aap{iynzB|{E21X9l7pALNKy$>
zDi2U+yH8GqwhVBWc9*<!@GF)TI;hj;62Y??dbr`fBD*>$Qk{7n94{D*40A+^nXVTM
z#1=9N6*<V&o9zx%mORv2%2e`*=-}up>R)f77rVTmnc#9G>xx($Sy#y-q4lKBVbNgB
zq??X>d2ufUvY?VwLEEGNmWE%^LapStv0b(Y#k-XI8YS#w`yJ$rd~Cpdo$7y=k`1&)
zxMmVMki(>$E3gMwh0&D5H}u@*J{--Lp^tQ**c>(PYdTisneMg?WcDK9+UL1Zuy*3u
zK&&B1%?E*9mqiiSz$C;qGHUP&ld4frv%9ZGMa>bAV|FFCqNaN0QU63#Ur5y#QUBZ~
z^&0A5jOqtc{Y$978r2V`>dUCFZBjpk`qn1(!>IrKCiNqze><v=){W0sk-LvwwA#Sy
zl=ql;^Cn15xI}P<Pis_+0KN!lJa=V=;~PsemrhTcvnMalQM6-m`r@hS)2BJ`5f8{A
zE*9ePLH4C9)0bZ{vM0|@&&&rJ|1sz0r)Pu0<>~p$=ciwu4%GQemo5a_+$%Hl=ceb*
z8`DO1>fFimGibOxJsp(huADM4&D{L?OEW?7^7Q4C;YJ3}T$!1oN^|Pug$uEdDM8<j
zxOyAM=n}48Kt==WQg>_rj&!H?Jz(s(_8(wkW7>Zr9o2q-bXfZ#(z5m=q$TaYkZRhG
zkruR{BF$+ZAXU|mf!SL~lKYTsAJ6O4ok^C#s|=@)4Gi`QFJ!(5cN00R!0p)PhusgY
z*@s4ryWR(`2ENDqQC-V6k8(>EEsvlj2RlCGcW7Ianmf6baQQe|3#oCi`7tA5^BJ^g
z>n%O-(VnzKv3hFv&`CRdyJk6Y#7iC)fJG#Sh$U6OPqfIY*-T|X&>K(4QV5O2?;`;>
z3&R=MSp#MT?XtNXGcEB=>as2FLh-5*I}?9EE!*Q3#LtS=r0pBjwli*X+(pN>Q?tg3
z8VNhWT#xZ&OU8Bw{k}%XvJ07E6<3Xa8jLCp-XRUqXBxai+E%*RW=yz`Wzm%r+nU1H
zBPI%g1|Q{01}uTSlgPmdBlh}m`1IsA@stRyK%o-p3_kP&cxz=_IRW>Ocog+O3G{lj
zr*JP4h*|Wa#|Ic)=q0zGsH1QDsXAi8SkOHjK9KRn#g9L*2rNYBtkZY+Vp9zrh<EWZ
z2Adt%gnI>HkcjLFid1B$8$ir2Go%>=#nYFju3QAo&jm`m)n+sZvNZEtd=-2P$pr+(
z^*Is133ts#`u!H>{We_*Eui5_%A_7g>F}0Rcpp^jqr&)gkFVrA=_?`2mFN$SSs&np
zqg)na$f=a`#)(47562g95belAmE*rBGAM;t^NbDu966ZZ3fmBBcsg?nnhp0voG|=y
z@Y&&Fp~c`8sfe$J?|_~A8oe%pmdz4o8}!Rq8Gqruli;z#x}Z^+DKy_bu+^nfa1T>$
zc$eaj=$0g{&wEaUOEv+1Ns#gA!FU<!*Xy}8h*R>E|BCzuFo&-Nw$(FehYBNC9}T3N
z8}2I5PS9(04Z-2h{w-Y@%{-Rrp4eOkh^{C_>eUmC7DAD{XOW2~swl=@GF2@fek8bI
zFnJWF?!ljf;B{k1Tfp(d@h;&*cib@IBSf|l*OB|FG87`~Eo@ADh7v~G-0bB`7iZ^#
z0s`#kAgtyBb){8rifz<`z!Hq67Y^4A#_6C9{2TxeQyfGR)u)$@sx<6g)E7GxpbQB(
zH+yMjZaRcz^u)<z!E7p_4WpEr)e9}14T{*ev9~`bNFP9kh+{(56mTg;h38tkTY}j`
z94z-yE<2`xZyo)lH?cL_^0CsUYzqttI1N^XM;BmfoWGT@q!mQAK++t9A1DWzH54)`
z)ROi!33C(APTT??5j6T-FAF>;pR~fPE8jh|6_&HMaW9@1E<0Wu0n$z|G6!?bav>R#
zDoIBWP}B}@UBbh}U*dp#HR7w3`xGUAgCr=Cik=LKUN1MWvr^n{A|Q;1ZJ-fBJmz0x
z5kps|Lb%}3K`xMJk>oF^asmIk58d~w`lMjrWf3JO7XEP*;>&`m6EifK19)Vy9nu9a
zfGf&!1{SDNhi#8bLHJQ!Vvws*2oG}&jaYu|TBmv4gCR-q3KT#jq9E22=a}Kc9%A1o
zgNDopg!A*TjiC5LwEcuYQ9>pJg$f{msaNlN_<O{B9{@<m(w8~9jf|hUEk!`U6CXX{
zMK#3T!x}m^YT>Db&UH(ffX#RZ&uwGiwJdg(E!yA`>189qdg81@@qbW<`hqj*(U+`A
z_&}Huhvp?>7+tvM>Yf8b2w`cVPm3(y`gb6b>fclNfgCAxaKv8V=?lL<P$?BdRH?v!
z84QLDE}A4QVFPX50!64x^gxRrE70Efu{N|bjdI);*_|60%<o~XEZDeLMrIWL6ImXI
z(Z5Flh927dlKKtVGvYKx_FWJiD#6e<QGfu1n#(5s)5yzhtqzR{dW-x`m~A#`LXy}?
zZsa;E#n5YLgktBZ&o`v6z-JQ9u>wI$PG!P%@oA{E6r6#%Vb<~ERs1N$4^xG1W12&*
zLI)KD2%=8OV};-=J$zM2xt8$&f?r%53*$heE7qIN4em`5%b`XkT5saf$);L(t(K#J
zLmi(P@g&ZQhXOpWHvRcvAmyH{NQNpLyrK~J!Htq<P(fBppz?2CawdLS<}{%0hQV$(
z=$#AKh7hjk6(U?APis>oT=e`-7Z8SaZMa-|*B_zFC2hBq)xd%ZDt>nX2|{v1lL~j$
zAFAaoVh>XBYT_R;LEjyd<d6MeKbk;+?%_7>xF_*LCO=q4p2TNnDRxh{;Em_E6f#cP
zy@j{mI({{$b2uqo48=9$xOEF**LX|n9!}W0et~|ja-N?SnatR4!|q34?|xa^BA^))
zB8ZNHmJlKhnxu&IsuqPI@`X^8HJUuH!_ltEOXD(byt9ZfKsWj!3*W|M)G@&a{7eb2
z0kk)m)y~a@>I?#(_;yK-B1n-rC4p}vbNmNx&t!hY{0uUpaCa-VxFtH=#2i~*i})v6
zLG3>GiNGIvb|FCdYWOfZJ%D-D?lbEV1CjqXY>xcD2`rXc^t&pWf?xHH>*7zbgBd}w
zA2B3o#~UH>HtHS+LWzGtru(VQxlRa!zK6W@`&^&G3z4(#IU>duA}0sE(0i2J-E#(b
z=7l6pvGMdv%=m`^aE^pm8040?7qnu&#SPT;T}=E8Q5VrdS?=!MbmP$!>I^;=Wk$S$
z&YZvp78X`eg95EOg)Blj&QvO)TJjWiei})TH_13ds3k=o^N*nf;Z3N=(6a)&b2$8x
ze<#Mj2op7GAQ369QPQA<LL<W8ll>y)evOhZQ6eZAri3h4ahs9>O72iXW||;%locF7
zqFwwQB_u%v=^<el5ur7|sS3JQ@m(Z{WDO%lYfhsPM~gBruTq!KQt~VkDtTkLyg~+E
z#@(TxQT-q%%O4Lb@<*B~f2d{U59D0=efbo%svpQ`E2B+Do6K$U`*L3UsXT$!5ASW&
z-k;b8<x5gOqFG0Ir1qgUB2OSTRg(D&9qlecMn0A+VO>%lk9#08HSAI1TwEFrXU#>k
z@(J!D`t@V^0F9)+hp4oja=R!u5|7_QC7nw9C^t^K+oxzB?He2`jZTafM{^9J%46c^
z30l8^1d%bIH@xZ7PXxp0EfTyz4vu8dpdbkxVgVyco{Eepj6vj(4{w)rGscJDNJ?OZ
z@y{`7cvbq1PUM9Vf=DXZf1lo74L^0USdj@aik(DciW!yr3`?0qbb@WP%)R~T86Gmi
z@v0m8k5T{ed*-M9UKlbxjUHm0k|!uRLkS5l@d70zB|mADxA<l1e29`RB@a?UNStDB
zjN*jdLE%LBlh0>~GkHWTg$#v8m!wCf(%^(t%28fr$Hy_bGyuen-0Z2pKT+=vm&bPh
EH%Eq3S^xk5
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/__pycache__/__init__.cpython-310.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/__pycache__/__init__.cpython-310.pyc
deleted file mode 100644
index 06d5695628c0ab04742fbd687e8d31570800395a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 218
zcmd1j<>g`kf}Kr!QbF`%5P=LBfgA@QE@lA|DGb33nv8xc8Hzx{2;x_*erR!OQL%nr
zYEepJrhY(CepYI7NwI!zW_nR#NoIbYeojteZeo09UP@{Ogslr^1Idz9sG4H^<iwnu
zq{QUxViYBCQQh*yyp$yUlGI|L(eXgTGE3s)^$IF)aoFVMr<CTT+JT%^%mgG@7yx_2
BJ$L{B
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/__pycache__/test_wandb_callback.cpython-310-pytest-7.2.1.pyc b/llama-index-integrations/callbacks/llama-index-callbacks-wandb/tests/__pycache__/test_wandb_callback.cpython-310-pytest-7.2.1.pyc
deleted file mode 100644
index 2f6c5321b3dfb8d5c906e5bfc6f7730ae3dee649..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 1253
zcmZuwOK%e~5VpN}H?3$32o6ZOP*|aEN-0H%5)}#(rwUOaq)5neVyE5U-3|7ZKG<An
z4_vu(XpY?Y3!LCL_{xdDz=^T*AVpa6<n#C&XTF))WOlZKVEy?1P29%_{j`VaMc}Xr
zTQ|UP#IZz8?0!k)5rk2cYv!@NA+it^n?;8`S&GWdGT<D~pQ2`k;~nG|e!&}P+s9_{
zG1Fp;N!eoUH_uqirBL9$_zGa_AAj2hjaME(5%v~r{S^$yoSdQ*b@3B)g8L{XU9XQb
zoS}E9Pcoukq`9*^_cGGKJZJqKGJvGg!dY<u9K8hhrIZY?x&^3gQH<dpaE1q%7beUH
zmYE@7Zn|4Qz%20MXYVrVd%VQUnHOTfxwHa|nJhQJC-?)DD~I~HPdI`iRJPkt=gG45
z^<eM7)(c>EQHEaUt%NT6MBb7e^aVj_N|eSd5|sMHkYL5&mdXL!ncpAlFSSs*9t*`;
zSbwgPu4t#a9)-J#rC}1+rDPGKVa&zh5HC9nHWed|uD3@G(dQ@=@A84|PCXSGp0<`c
z2OSfF-jS(n$WW*4B<eK^R*{vrfR24f-y1gC1+bPB!G=sAST_KSqd+PNV;>){T)){n
zTJ?41{Rq?^)+}1_bug|)rC$qU=Uwx)vj1f+*(zz8bZ84kjJ74yT4>)h9)w!6YR%g5
zob{{J1+V+sI@kTGvaK*hN+Xp}>RwcK<V<C=cjPoMW#*j#szgs&p-c%=g=^Z{4`mw0
z+7yPe%oVEll6}b?mF~)<#iZ+^DO1fl!oFbU9=SxINl%qZlv$*mL`5v6;;<)K?Aqt&
z)r`$z#{SJP@!QjfJHx{;@b2{C-rp%vC0C#ScEW1ZcAhTaGpw!w@MlbEEJ!Wd$g6Z%
zf?${cBpfJlpu$v`^2B9|BcGawnC6YCxeMBf62W*_bm00k8VOhFX6+n%JdA;xGDmmq
eap_ITa-V_IR@#UXzAr_?eqh?p-x8|gs`m%{c5A8t
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py
index f44631b931..fc699fee9f 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py
@@ -22,6 +22,11 @@ class AzureOpenAIEmbedding(OpenAIEmbedding):
default=None, description="The Azure deployment to use."
)
+ api_base: str = Field(default="", description="The base URL for Azure deployment.")
+ api_version: str = Field(
+ default="", description="The version for Azure OpenAI API."
+ )
+
_client: AzureOpenAI = PrivateAttr()
_aclient: AsyncAzureOpenAI = PrivateAttr()
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
index 74238ea32c..e29d141428 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
@@ -24,7 +24,7 @@ description = "llama-index embeddings azure openai integration"
license = "MIT"
name = "llama-index-embeddings-azure-openai"
readme = "README.md"
-version = "0.1.1"
+version = "0.1.2"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py
index 3c401fce3c..6fd28ae8f4 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py
@@ -212,37 +212,19 @@ class HuggingFaceInferenceAPIEmbedding(BaseEmbedding): # type: ignore[misc]
pooling: Optional[Pooling] = Field(
default=Pooling.CLS,
- description=(
- "Optional pooling technique to use with embeddings capability, if"
- " the model's raw output needs pooling."
- ),
+ description="Pooling strategy. If None, the model's default pooling is used.",
)
query_instruction: Optional[str] = Field(
- default=None,
- description=(
- "Instruction to prepend during query embedding."
- " Use of None means infer the instruction based on the model."
- " Use of empty string will defeat instruction prepending entirely."
- ),
+ default=None, description="Instruction to prepend during query embedding."
)
text_instruction: Optional[str] = Field(
- default=None,
- description=(
- "Instruction to prepend during text embedding."
- " Use of None means infer the instruction based on the model."
- " Use of empty string will defeat instruction prepending entirely."
- ),
+ default=None, description="Instruction to prepend during text embedding."
)
# Corresponds with huggingface_hub.InferenceClient
model_name: Optional[str] = Field(
default=None,
- description=(
- "The model to run inference with. Can be a model id hosted on the Hugging"
- " Face Hub, e.g. bigcode/starcoder or a URL to a deployed Inference"
- " Endpoint. Defaults to None, in which case a recommended model is"
- " automatically selected for the task (see Field below)."
- ),
+ description="Hugging Face model name. If None, the task will be used.",
)
token: Union[str, bool, None] = Field(
default=None,
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml
index d1bfd014a9..8c007e8729 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml
@@ -24,7 +24,7 @@ description = "llama-index embeddings huggingface integration"
license = "MIT"
name = "llama-index-embeddings-huggingface"
readme = "README.md"
-version = "0.1.1"
+version = "0.1.2"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py
index 8dee0c003e..e83fe3f7bb 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py
@@ -8,6 +8,8 @@ from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks.base import CallbackManager
from llama_index.embeddings.openai.utils import (
+ DEFAULT_OPENAI_API_BASE,
+ DEFAULT_OPENAI_API_VERSION,
create_retry_decorator,
resolve_openai_credentials,
)
@@ -244,8 +246,12 @@ class OpenAIEmbedding(BaseEmbedding):
)
api_key: str = Field(description="The OpenAI API key.")
- api_base: str = Field(description="The base URL for OpenAI API.")
- api_version: str = Field(description="The version for OpenAI API.")
+ api_base: str = Field(
+ default=DEFAULT_OPENAI_API_BASE, description="The base URL for OpenAI API."
+ )
+ api_version: str = Field(
+ default=DEFAULT_OPENAI_API_VERSION, description="The version for OpenAI API."
+ )
max_retries: int = Field(
default=10, description="Maximum number of retries.", gte=0
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml
index a3d6626d28..d67c45c670 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml
@@ -24,7 +24,7 @@ description = "llama-index embeddings openai integration"
license = "MIT"
name = "llama-index-embeddings-openai"
readme = "README.md"
-version = "0.1.1"
+version = "0.1.2"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/.gitignore b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/.gitignore
new file mode 100644
index 0000000000..990c18de22
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/.gitignore
@@ -0,0 +1,153 @@
+llama_index/_static
+.DS_Store
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+bin/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+etc/
+include/
+lib/
+lib64/
+parts/
+sdist/
+share/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+.ruff_cache
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+notebooks/
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+# However, in case of collaboration, if having platform-specific dependencies or dependencies
+# having no cross-platform support, pipenv may install dependencies that don't work, or not
+# install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+pyvenv.cfg
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Jetbrains
+.idea
+modules/
+*.swp
+
+# VsCode
+.vscode
+
+# pipenv
+Pipfile
+Pipfile.lock
+
+# pyright
+pyrightconfig.json
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/BUILD b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/BUILD
new file mode 100644
index 0000000000..94c4d19852
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/BUILD
@@ -0,0 +1,6 @@
+python_sources()
+
+poetry_requirements(
+ name="poetry",
+ module_mapping={"llamaindex-py-client": ["llama_index_client"]},
+)
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/Makefile b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/Makefile
new file mode 100644
index 0000000000..b9eab05aa3
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/Makefile
@@ -0,0 +1,17 @@
+GIT_ROOT ?= $(shell git rev-parse --show-toplevel)
+
+help: ## Show all Makefile targets.
+ @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'
+
+format: ## Run code autoformatters (black).
+ pre-commit install
+ git ls-files | xargs pre-commit run black --files
+
+lint: ## Run linters: pre-commit (black, ruff, codespell) and mypy
+ pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files
+
+test: ## Run tests via pytest.
+ pytest tests
+
+watch-docs: ## Build and watch documentation.
+ sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/README.md b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/README.md
new file mode 100644
index 0000000000..f979055e18
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/README.md
@@ -0,0 +1 @@
+# LlamaIndex Indices Integration: Llama-Cloud
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/BUILD b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/BUILD
new file mode 100644
index 0000000000..db46e8d6c9
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/BUILD
@@ -0,0 +1 @@
+python_sources()
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/__init__.py b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/__init__.py
new file mode 100644
index 0000000000..2b754e097c
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/__init__.py
@@ -0,0 +1,7 @@
+from llama_index.indices.managed.llama_cloud.base import LlamaCloudIndex
+from llama_index.indices.managed.llama_cloud.retriever import LlamaCloudRetriever
+
+__all__ = [
+ "LlamaCloudIndex",
+ "LlamaCloudRetriever",
+]
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/base.py b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/base.py
new file mode 100644
index 0000000000..25ecd1f318
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/base.py
@@ -0,0 +1,224 @@
+"""Managed index.
+
+A managed Index - where the index is accessible via some API that
+interfaces a managed service.
+
+"""
+import os
+import time
+from typing import Any, List, Optional, Sequence, Type
+
+from llama_index_client import PipelineType, ProjectCreate, StatusEnum
+
+from llama_index.core.base.base_query_engine import BaseQueryEngine
+from llama_index.core.base.base_retriever import BaseRetriever
+from llama_index.core.constants import DEFAULT_APP_URL, DEFAULT_PROJECT_NAME
+from llama_index.core.indices.managed.base import BaseManagedIndex
+from llama_index.core.ingestion.api_utils import (
+ default_transformations,
+ get_aclient,
+ get_client,
+ get_pipeline_create,
+)
+from llama_index.core.schema import BaseNode, Document, TransformComponent
+
+
+class LlamaCloudIndex(BaseManagedIndex):
+ """LlamaIndex Platform Index."""
+
+ def __init__(
+ self,
+ name: str,
+ nodes: Optional[List[BaseNode]] = None,
+ transformations: Optional[List[TransformComponent]] = None,
+ timeout: int = 60,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ api_key: Optional[str] = None,
+ base_url: Optional[str] = None,
+ app_url: Optional[str] = None,
+ show_progress: bool = False,
+ **kwargs: Any,
+ ) -> None:
+ """Initialize the Platform Index."""
+ self.name = name
+ self.project_name = project_name
+ self.transformations = transformations or []
+
+ if nodes is not None:
+ # TODO: How to handle uploading nodes without running transforms on them?
+ raise ValueError("LlamaCloudIndex does not support nodes on initialization")
+
+ self._client = get_client(api_key, base_url, app_url, timeout)
+ self._aclient = get_aclient(api_key, base_url, app_url, timeout)
+
+ self._api_key = api_key
+ self._base_url = base_url
+ self._app_url = app_url
+ self._timeout = timeout
+ self._show_progress = show_progress
+
+ @classmethod
+ def from_documents( # type: ignore
+ cls: Type["LlamaCloudIndex"],
+ documents: List[Document],
+ name: str,
+ transformations: Optional[List[TransformComponent]] = None,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ api_key: Optional[str] = None,
+ base_url: Optional[str] = None,
+ app_url: Optional[str] = None,
+ timeout: int = 60,
+ verbose: bool = False,
+ **kwargs: Any,
+ ) -> "LlamaCloudIndex":
+ """Build a Vectara index from a sequence of documents."""
+ app_url = app_url or os.environ.get("LLAMA_CLOUD_APP_URL", DEFAULT_APP_URL)
+ client = get_client(api_key, base_url, app_url, timeout)
+
+ pipeline_create = get_pipeline_create(
+ name,
+ client,
+ PipelineType.MANAGED,
+ project_name=project_name,
+ transformations=transformations or default_transformations(),
+ input_nodes=documents,
+ )
+
+ project = client.project.upsert_project(
+ request=ProjectCreate(name=project_name)
+ )
+ if project.id is None:
+ raise ValueError(f"Failed to create/get project {project_name}")
+
+ if verbose:
+ print(f"Created project {project.id} with name {project.name}")
+
+ pipeline = client.project.upsert_pipeline_for_project(
+ project_id=project.id, request=pipeline_create
+ )
+ if pipeline.id is None:
+ raise ValueError(f"Failed to create/get pipeline {name}")
+
+ if verbose:
+ print(f"Created pipeline {pipeline.id} with name {pipeline.name}")
+
+ # TODO: remove when sourabh's PR is merged
+ # kick off data source execution
+ execution_ids = []
+ data_source_ids = [data_source.id for data_source in pipeline.data_sources]
+ for data_source in pipeline.data_sources:
+ execution = client.data_source.create_data_source_execution(
+ data_source_id=data_source.id
+ )
+ execution_ids.append(execution.id)
+
+ if verbose:
+ print("Loading data: ", end="")
+
+ is_done = False
+ while not is_done:
+ statuses = []
+ for data_source_id, execution_id in zip(data_source_ids, execution_ids):
+ execution = client.data_source.get_data_source_execution(
+ data_source_id=data_source_id,
+ data_source_load_execution_id=execution_id,
+ )
+ statuses.append(execution.status)
+
+ if all(status == StatusEnum.SUCCESS for status in statuses):
+ is_done = True
+ if verbose:
+ print("Done!")
+ elif any(
+ status in [StatusEnum.ERROR, StatusEnum.CANCELED] for status in statuses
+ ):
+ raise ValueError(
+ f"Data source execution failed with statuses {statuses}!"
+ )
+ else:
+ if verbose:
+ print(".", end="")
+ time.sleep(0.5)
+
+ # kick off ingestion
+ execution = client.pipeline.run_managed_pipeline_ingestion(
+ pipeline_id=pipeline.id
+ )
+ ingestion_id = execution.id
+
+ if verbose:
+ print("Running ingestion: ", end="")
+
+ is_done = False
+ while not is_done:
+ ingestion = client.pipeline.get_managed_ingestion_execution(
+ pipeline_id=pipeline.id, managed_pipeline_ingestion_id=ingestion_id
+ )
+
+ if ingestion.status == StatusEnum.SUCCESS:
+ is_done = True
+ if verbose:
+ print("Done!")
+ elif ingestion.status in [StatusEnum.ERROR, StatusEnum.CANCELED]:
+ raise ValueError(f"Ingestion failed with status {ingestion.status}")
+ else:
+ if verbose:
+ print(".", end="")
+ time.sleep(0.5)
+
+ print(f"Find your index at {app_url}/project/{project.id}/deploy/{pipeline.id}")
+
+ return cls(
+ name,
+ transformations=transformations,
+ project_name=project_name,
+ api_key=api_key,
+ base_url=base_url,
+ app_url=app_url,
+ timeout=timeout,
+ **kwargs,
+ )
+
+ def as_retriever(self, **kwargs: Any) -> BaseRetriever:
+ """Return a Retriever for this managed index."""
+ from llama_index.indices.managed.llama_cloud.retriever import (
+ LlamaCloudRetriever,
+ )
+
+ similarity_top_k = kwargs.pop("similarity_top_k", None)
+ dense_similarity_top_k = kwargs.pop("dense_similarity_top_k", None)
+ if similarity_top_k is not None:
+ dense_similarity_top_k = similarity_top_k
+
+ return LlamaCloudRetriever(
+ self.name,
+ project_name=self.project_name,
+ api_key=self._api_key,
+ base_url=self._base_url,
+ app_url=self._app_url,
+ timeout=self._timeout,
+ dense_similarity_top_k=dense_similarity_top_k,
+ **kwargs,
+ )
+
+ def as_query_engine(self, **kwargs: Any) -> BaseQueryEngine:
+ from llama_index.core.query_engine.retriever_query_engine import (
+ RetrieverQueryEngine,
+ )
+
+ kwargs["retriever"] = self.as_retriever(**kwargs)
+ return RetrieverQueryEngine.from_args(**kwargs)
+
+ def _insert(self, nodes: Sequence[BaseNode], **insert_kwargs: Any) -> None:
+ """Insert a set of documents (each a node)."""
+ raise NotImplementedError("_insert not implemented for LlamaCloudIndex.")
+
+ def delete_ref_doc(
+ self, ref_doc_id: str, delete_from_docstore: bool = False, **delete_kwargs: Any
+ ) -> None:
+ """Delete a document and it's nodes by using ref_doc_id."""
+ raise NotImplementedError("delete_ref_doc not implemented for LlamaCloudIndex.")
+
+ def update_ref_doc(self, document: Document, **update_kwargs: Any) -> None:
+ """Update a document and it's corresponding nodes."""
+ raise NotImplementedError("update_ref_doc not implemented for LlamaCloudIndex.")
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/retriever.py b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/retriever.py
new file mode 100644
index 0000000000..28fa4f1fcb
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/llama_index/indices/managed/llama_cloud/retriever.py
@@ -0,0 +1,116 @@
+from typing import Any, Dict, List, Optional
+
+from llama_index_client import TextNodeWithScore
+from llama_index_client.resources.pipeline.client import OMIT
+
+from llama_index.core.base.base_retriever import BaseRetriever
+from llama_index.core.constants import DEFAULT_PROJECT_NAME
+from llama_index.core.ingestion.api_utils import get_aclient, get_client
+from llama_index.core.schema import NodeWithScore, QueryBundle, TextNode
+
+
+class LlamaCloudRetriever(BaseRetriever):
+ def __init__(
+ self,
+ name: str,
+ project_name: str = DEFAULT_PROJECT_NAME,
+ dense_similarity_top_k: Optional[int] = None,
+ sparse_similarity_top_k: Optional[int] = None,
+ enable_reranking: Optional[bool] = None,
+ rerank_top_n: Optional[int] = None,
+ alpha: Optional[float] = None,
+ search_filters: Optional[Dict[str, List[Any]]] = None,
+ api_key: Optional[str] = None,
+ base_url: Optional[str] = None,
+ app_url: Optional[str] = None,
+ timeout: int = 60,
+ **kwargs: Any,
+ ) -> None:
+ """Initialize the Platform Retriever."""
+ self.name = name
+ self.project_name = project_name
+ self._client = get_client(api_key, base_url, app_url, timeout)
+ self._aclient = get_aclient(api_key, base_url, app_url, timeout)
+
+ projects = self._client.project.list_projects(project_name=project_name)
+ if len(projects) == 0:
+ raise ValueError(f"No project found with name {project_name}")
+
+ self._dense_similarity_top_k = dense_similarity_top_k or OMIT
+ self._sparse_similarity_top_k = sparse_similarity_top_k or OMIT
+ self._enable_reranking = enable_reranking or OMIT
+ self._rerank_top_n = rerank_top_n or OMIT
+ self._alpha = alpha or OMIT
+ self._search_filters = search_filters or OMIT
+
+ super().__init__(**kwargs)
+
+ def _result_nodes_to_node_with_score(
+ self, result_nodes: List[TextNodeWithScore]
+ ) -> List[NodeWithScore]:
+ nodes = []
+ for res in result_nodes:
+ text_node = TextNode.parse_obj(res.node.dict())
+ nodes.append(NodeWithScore(node=text_node, score=res.score))
+
+ return nodes
+
+ def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
+ """Retrieve from the platform."""
+ pipelines = self._client.pipeline.search_pipelines(
+ project_name=self.project_name, pipeline_name=self.name
+ )
+ if len(pipelines) != 1:
+ raise ValueError(
+ f"Unknown index name {self.name}. Please confirm a "
+ "managed index with this name exists."
+ )
+ pipeline = pipelines[0]
+
+ if pipeline.id is None:
+ raise ValueError(
+ f"No pipeline found with name {self.name} in project {self.project_name}"
+ )
+
+ results = self._client.pipeline.run_search(
+ query=query_bundle.query_str,
+ pipeline_id=pipeline.id,
+ dense_similarity_top_k=self._dense_similarity_top_k,
+ sparse_similarity_top_k=self._sparse_similarity_top_k,
+ enable_reranking=self._enable_reranking,
+ rerank_top_n=self._rerank_top_n,
+ alpha=self._alpha,
+ search_filters=self._search_filters,
+ )
+
+ result_nodes = results.retrieval_nodes
+
+ return self._result_nodes_to_node_with_score(result_nodes)
+
+ async def _aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
+ """Asynchronously retrieve from the platform."""
+ pipelines = await self._aclient.pipeline.search_pipelines(
+ project_name=self.project_name, pipeline_name=self.name
+ )
+ assert len(pipelines) == 1
+ pipeline = pipelines[0]
+
+ if pipeline.id is None:
+ raise ValueError(
+ f"No pipeline found with name {self.name} in project {self.project_name}"
+ )
+
+ results = await self._aclient.pipeline.run_search(
+ query=query_bundle.query_str,
+ pipeline_id=pipeline.id,
+ dense_similarity_top_k=self._dense_similarity_top_k,
+ sparse_similarity_top_k=self._sparse_similarity_top_k,
+ enable_reranking=self._enable_reranking,
+ rerank_top_n=self._rerank_top_n,
+ alpha=self._alpha,
+ search_filters=self._search_filters,
+ )
+
+ result_nodes = results.retrieval_nodes
+
+ return self._result_nodes_to_node_with_score(result_nodes)
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/poetry.lock b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/poetry.lock
new file mode 100644
index 0000000000..2ffa4d4436
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/poetry.lock
@@ -0,0 +1,4474 @@
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.9.3"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
+ {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"},
+ {file = "aiohttp-3.9.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:82e6aa28dd46374f72093eda8bcd142f7771ee1eb9d1e223ff0fa7177a96b4a5"},
+ {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f56455b0c2c7cc3b0c584815264461d07b177f903a04481dfc33e08a89f0c26b"},
+ {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bca77a198bb6e69795ef2f09a5f4c12758487f83f33d63acde5f0d4919815768"},
+ {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e083c285857b78ee21a96ba1eb1b5339733c3563f72980728ca2b08b53826ca5"},
+ {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab40e6251c3873d86ea9b30a1ac6d7478c09277b32e14745d0d3c6e76e3c7e29"},
+ {file = "aiohttp-3.9.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:df822ee7feaaeffb99c1a9e5e608800bd8eda6e5f18f5cfb0dc7eeb2eaa6bbec"},
+ {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:acef0899fea7492145d2bbaaaec7b345c87753168589cc7faf0afec9afe9b747"},
+ {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:cd73265a9e5ea618014802ab01babf1940cecb90c9762d8b9e7d2cc1e1969ec6"},
+ {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:a78ed8a53a1221393d9637c01870248a6f4ea5b214a59a92a36f18151739452c"},
+ {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:6b0e029353361f1746bac2e4cc19b32f972ec03f0f943b390c4ab3371840aabf"},
+ {file = "aiohttp-3.9.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7cf5c9458e1e90e3c390c2639f1017a0379a99a94fdfad3a1fd966a2874bba52"},
+ {file = "aiohttp-3.9.3-cp310-cp310-win32.whl", hash = "sha256:3e59c23c52765951b69ec45ddbbc9403a8761ee6f57253250c6e1536cacc758b"},
+ {file = "aiohttp-3.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:055ce4f74b82551678291473f66dc9fb9048a50d8324278751926ff0ae7715e5"},
+ {file = "aiohttp-3.9.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6b88f9386ff1ad91ace19d2a1c0225896e28815ee09fc6a8932fded8cda97c3d"},
+ {file = "aiohttp-3.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c46956ed82961e31557b6857a5ca153c67e5476972e5f7190015018760938da2"},
+ {file = "aiohttp-3.9.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:07b837ef0d2f252f96009e9b8435ec1fef68ef8b1461933253d318748ec1acdc"},
+ {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad46e6f620574b3b4801c68255492e0159d1712271cc99d8bdf35f2043ec266"},
+ {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ed3e046ea7b14938112ccd53d91c1539af3e6679b222f9469981e3dac7ba1ce"},
+ {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:039df344b45ae0b34ac885ab5b53940b174530d4dd8a14ed8b0e2155b9dddccb"},
+ {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7943c414d3a8d9235f5f15c22ace69787c140c80b718dcd57caaade95f7cd93b"},
+ {file = "aiohttp-3.9.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:84871a243359bb42c12728f04d181a389718710129b36b6aad0fc4655a7647d4"},
+ {file = "aiohttp-3.9.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5eafe2c065df5401ba06821b9a054d9cb2848867f3c59801b5d07a0be3a380ae"},
+ {file = "aiohttp-3.9.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:9d3c9b50f19704552f23b4eaea1fc082fdd82c63429a6506446cbd8737823da3"},
+ {file = "aiohttp-3.9.3-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:f033d80bc6283092613882dfe40419c6a6a1527e04fc69350e87a9df02bbc283"},
+ {file = "aiohttp-3.9.3-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:2c895a656dd7e061b2fd6bb77d971cc38f2afc277229ce7dd3552de8313a483e"},
+ {file = "aiohttp-3.9.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1f5a71d25cd8106eab05f8704cd9167b6e5187bcdf8f090a66c6d88b634802b4"},
+ {file = "aiohttp-3.9.3-cp311-cp311-win32.whl", hash = "sha256:50fca156d718f8ced687a373f9e140c1bb765ca16e3d6f4fe116e3df7c05b2c5"},
+ {file = "aiohttp-3.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:5fe9ce6c09668063b8447f85d43b8d1c4e5d3d7e92c63173e6180b2ac5d46dd8"},
+ {file = "aiohttp-3.9.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:38a19bc3b686ad55804ae931012f78f7a534cce165d089a2059f658f6c91fa60"},
+ {file = "aiohttp-3.9.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:770d015888c2a598b377bd2f663adfd947d78c0124cfe7b959e1ef39f5b13869"},
+ {file = "aiohttp-3.9.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ee43080e75fc92bf36219926c8e6de497f9b247301bbf88c5c7593d931426679"},
+ {file = "aiohttp-3.9.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:52df73f14ed99cee84865b95a3d9e044f226320a87af208f068ecc33e0c35b96"},
+ {file = "aiohttp-3.9.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc9b311743a78043b26ffaeeb9715dc360335e5517832f5a8e339f8a43581e4d"},
+ {file = "aiohttp-3.9.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b955ed993491f1a5da7f92e98d5dad3c1e14dc175f74517c4e610b1f2456fb11"},
+ {file = "aiohttp-3.9.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:504b6981675ace64c28bf4a05a508af5cde526e36492c98916127f5a02354d53"},
+ {file = "aiohttp-3.9.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a6fe5571784af92b6bc2fda8d1925cccdf24642d49546d3144948a6a1ed58ca5"},
+ {file = "aiohttp-3.9.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ba39e9c8627edc56544c8628cc180d88605df3892beeb2b94c9bc857774848ca"},
+ {file = "aiohttp-3.9.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:e5e46b578c0e9db71d04c4b506a2121c0cb371dd89af17a0586ff6769d4c58c1"},
+ {file = "aiohttp-3.9.3-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:938a9653e1e0c592053f815f7028e41a3062e902095e5a7dc84617c87267ebd5"},
+ {file = "aiohttp-3.9.3-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:c3452ea726c76e92f3b9fae4b34a151981a9ec0a4847a627c43d71a15ac32aa6"},
+ {file = "aiohttp-3.9.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ff30218887e62209942f91ac1be902cc80cddb86bf00fbc6783b7a43b2bea26f"},
+ {file = "aiohttp-3.9.3-cp312-cp312-win32.whl", hash = "sha256:38f307b41e0bea3294a9a2a87833191e4bcf89bb0365e83a8be3a58b31fb7f38"},
+ {file = "aiohttp-3.9.3-cp312-cp312-win_amd64.whl", hash = "sha256:b791a3143681a520c0a17e26ae7465f1b6f99461a28019d1a2f425236e6eedb5"},
+ {file = "aiohttp-3.9.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0ed621426d961df79aa3b963ac7af0d40392956ffa9be022024cd16297b30c8c"},
+ {file = "aiohttp-3.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7f46acd6a194287b7e41e87957bfe2ad1ad88318d447caf5b090012f2c5bb528"},
+ {file = "aiohttp-3.9.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:feeb18a801aacb098220e2c3eea59a512362eb408d4afd0c242044c33ad6d542"},
+ {file = "aiohttp-3.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f734e38fd8666f53da904c52a23ce517f1b07722118d750405af7e4123933511"},
+ {file = "aiohttp-3.9.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b40670ec7e2156d8e57f70aec34a7216407848dfe6c693ef131ddf6e76feb672"},
+ {file = "aiohttp-3.9.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fdd215b7b7fd4a53994f238d0f46b7ba4ac4c0adb12452beee724ddd0743ae5d"},
+ {file = "aiohttp-3.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:017a21b0df49039c8f46ca0971b3a7fdc1f56741ab1240cb90ca408049766168"},
+ {file = "aiohttp-3.9.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e99abf0bba688259a496f966211c49a514e65afa9b3073a1fcee08856e04425b"},
+ {file = "aiohttp-3.9.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:648056db9a9fa565d3fa851880f99f45e3f9a771dd3ff3bb0c048ea83fb28194"},
+ {file = "aiohttp-3.9.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8aacb477dc26797ee089721536a292a664846489c49d3ef9725f992449eda5a8"},
+ {file = "aiohttp-3.9.3-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:522a11c934ea660ff8953eda090dcd2154d367dec1ae3c540aff9f8a5c109ab4"},
+ {file = "aiohttp-3.9.3-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:5bce0dc147ca85caa5d33debc4f4d65e8e8b5c97c7f9f660f215fa74fc49a321"},
+ {file = "aiohttp-3.9.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:4b4af9f25b49a7be47c0972139e59ec0e8285c371049df1a63b6ca81fdd216a2"},
+ {file = "aiohttp-3.9.3-cp38-cp38-win32.whl", hash = "sha256:298abd678033b8571995650ccee753d9458dfa0377be4dba91e4491da3f2be63"},
+ {file = "aiohttp-3.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:69361bfdca5468c0488d7017b9b1e5ce769d40b46a9f4a2eed26b78619e9396c"},
+ {file = "aiohttp-3.9.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0fa43c32d1643f518491d9d3a730f85f5bbaedcbd7fbcae27435bb8b7a061b29"},
+ {file = "aiohttp-3.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:835a55b7ca49468aaaac0b217092dfdff370e6c215c9224c52f30daaa735c1c1"},
+ {file = "aiohttp-3.9.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:06a9b2c8837d9a94fae16c6223acc14b4dfdff216ab9b7202e07a9a09541168f"},
+ {file = "aiohttp-3.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:abf151955990d23f84205286938796c55ff11bbfb4ccfada8c9c83ae6b3c89a3"},
+ {file = "aiohttp-3.9.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59c26c95975f26e662ca78fdf543d4eeaef70e533a672b4113dd888bd2423caa"},
+ {file = "aiohttp-3.9.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f95511dd5d0e05fd9728bac4096319f80615aaef4acbecb35a990afebe953b0e"},
+ {file = "aiohttp-3.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:595f105710293e76b9dc09f52e0dd896bd064a79346234b521f6b968ffdd8e58"},
+ {file = "aiohttp-3.9.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c7c8b816c2b5af5c8a436df44ca08258fc1a13b449393a91484225fcb7545533"},
+ {file = "aiohttp-3.9.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f1088fa100bf46e7b398ffd9904f4808a0612e1d966b4aa43baa535d1b6341eb"},
+ {file = "aiohttp-3.9.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f59dfe57bb1ec82ac0698ebfcdb7bcd0e99c255bd637ff613760d5f33e7c81b3"},
+ {file = "aiohttp-3.9.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:361a1026c9dd4aba0109e4040e2aecf9884f5cfe1b1b1bd3d09419c205e2e53d"},
+ {file = "aiohttp-3.9.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:363afe77cfcbe3a36353d8ea133e904b108feea505aa4792dad6585a8192c55a"},
+ {file = "aiohttp-3.9.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8e2c45c208c62e955e8256949eb225bd8b66a4c9b6865729a786f2aa79b72e9d"},
+ {file = "aiohttp-3.9.3-cp39-cp39-win32.whl", hash = "sha256:f7217af2e14da0856e082e96ff637f14ae45c10a5714b63c77f26d8884cf1051"},
+ {file = "aiohttp-3.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:27468897f628c627230dba07ec65dc8d0db566923c48f29e084ce382119802bc"},
+ {file = "aiohttp-3.9.3.tar.gz", hash = "sha256:90842933e5d1ff760fae6caca4b2b3edba53ba8f4b71e95dacf2818a2aca06f7"},
+]
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
+ {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
+[[package]]
+name = "anyio"
+version = "4.2.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+ {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
+idna = ">=2.8"
+sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
+
+[[package]]
+name = "appnope"
+version = "0.1.4"
+description = "Disable App Nap on macOS >= 10.9"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+ {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
+]
+
+[[package]]
+name = "argon2-cffi"
+version = "23.1.0"
+description = "Argon2 for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
+ {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"},
+]
+
+[package.dependencies]
+argon2-cffi-bindings = "*"
+
+[package.extras]
+dev = ["argon2-cffi[tests,typing]", "tox (>4)"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"]
+tests = ["hypothesis", "pytest"]
+typing = ["mypy"]
+
+[[package]]
+name = "argon2-cffi-bindings"
+version = "21.2.0"
+description = "Low-level CFFI bindings for Argon2"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"},
+ {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"},
+ {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"},
+ {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194"},
+ {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f"},
+ {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"},
+ {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"},
+ {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"},
+ {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"},
+ {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"},
+ {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"},
+ {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
+ {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
+]
+
+[package.dependencies]
+cffi = ">=1.0.1"
+
+[package.extras]
+dev = ["cogapp", "pre-commit", "pytest", "wheel"]
+tests = ["pytest"]
+
+[[package]]
+name = "arrow"
+version = "1.3.0"
+description = "Better dates & times for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
+ {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"},
+]
+
+[package.dependencies]
+python-dateutil = ">=2.7.0"
+types-python-dateutil = ">=2.8.10"
+
+[package.extras]
+doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"]
+test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"]
+
+[[package]]
+name = "astroid"
+version = "2.13.5"
+description = "An abstract syntax tree for Python with inference support."
+optional = false
+python-versions = ">=3.7.2"
+files = [
+ {file = "astroid-2.13.5-py3-none-any.whl", hash = "sha256:6891f444625b6edb2ac798829b689e95297e100ddf89dbed5a8c610e34901501"},
+ {file = "astroid-2.13.5.tar.gz", hash = "sha256:df164d5ac811b9f44105a72b8f9d5edfb7b5b2d7e979b04ea377a77b3229114a"},
+]
+
+[package.dependencies]
+lazy-object-proxy = ">=1.4.0"
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
+wrapt = [
+ {version = ">=1.11,<2", markers = "python_version < \"3.11\""},
+ {version = ">=1.14,<2", markers = "python_version >= \"3.11\""},
+]
+
+[[package]]
+name = "asttokens"
+version = "2.4.1"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = "*"
+files = [
+ {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+ {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
+]
+
+[package.dependencies]
+six = ">=1.12.0"
+
+[package.extras]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
+
+[[package]]
+name = "async-lru"
+version = "2.0.4"
+description = "Simple LRU cache for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
+ {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
+
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+ {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+]
+
+[[package]]
+name = "attrs"
+version = "23.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+ {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "babel"
+version = "2.14.0"
+description = "Internationalization utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
+ {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
+]
+
+[package.dependencies]
+pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
+
+[package.extras]
+dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+
+[[package]]
+name = "backcall"
+version = "0.2.0"
+description = "Specifications for callback functions passed in to an API"
+optional = false
+python-versions = "*"
+files = [
+ {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
+ {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.3"
+description = "Screen-scraping library"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+ {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+ {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+
+[package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
+[[package]]
+name = "black"
+version = "23.9.1"
+description = "The uncompromising code formatter."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "black-23.9.1-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:d6bc09188020c9ac2555a498949401ab35bb6bf76d4e0f8ee251694664df6301"},
+ {file = "black-23.9.1-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:13ef033794029b85dfea8032c9d3b92b42b526f1ff4bf13b2182ce4e917f5100"},
+ {file = "black-23.9.1-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:75a2dc41b183d4872d3a500d2b9c9016e67ed95738a3624f4751a0cb4818fe71"},
+ {file = "black-23.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13a2e4a93bb8ca74a749b6974925c27219bb3df4d42fc45e948a5d9feb5122b7"},
+ {file = "black-23.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:adc3e4442eef57f99b5590b245a328aad19c99552e0bdc7f0b04db6656debd80"},
+ {file = "black-23.9.1-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:8431445bf62d2a914b541da7ab3e2b4f3bc052d2ccbf157ebad18ea126efb91f"},
+ {file = "black-23.9.1-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:8fc1ddcf83f996247505db6b715294eba56ea9372e107fd54963c7553f2b6dfe"},
+ {file = "black-23.9.1-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:7d30ec46de88091e4316b17ae58bbbfc12b2de05e069030f6b747dfc649ad186"},
+ {file = "black-23.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:031e8c69f3d3b09e1aa471a926a1eeb0b9071f80b17689a655f7885ac9325a6f"},
+ {file = "black-23.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:538efb451cd50f43aba394e9ec7ad55a37598faae3348d723b59ea8e91616300"},
+ {file = "black-23.9.1-cp38-cp38-macosx_10_16_arm64.whl", hash = "sha256:638619a559280de0c2aa4d76f504891c9860bb8fa214267358f0a20f27c12948"},
+ {file = "black-23.9.1-cp38-cp38-macosx_10_16_universal2.whl", hash = "sha256:a732b82747235e0542c03bf352c126052c0fbc458d8a239a94701175b17d4855"},
+ {file = "black-23.9.1-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:cf3a4d00e4cdb6734b64bf23cd4341421e8953615cba6b3670453737a72ec204"},
+ {file = "black-23.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf99f3de8b3273a8317681d8194ea222f10e0133a24a7548c73ce44ea1679377"},
+ {file = "black-23.9.1-cp38-cp38-win_amd64.whl", hash = "sha256:14f04c990259576acd093871e7e9b14918eb28f1866f91968ff5524293f9c573"},
+ {file = "black-23.9.1-cp39-cp39-macosx_10_16_arm64.whl", hash = "sha256:c619f063c2d68f19b2d7270f4cf3192cb81c9ec5bc5ba02df91471d0b88c4c5c"},
+ {file = "black-23.9.1-cp39-cp39-macosx_10_16_universal2.whl", hash = "sha256:6a3b50e4b93f43b34a9d3ef00d9b6728b4a722c997c99ab09102fd5efdb88325"},
+ {file = "black-23.9.1-cp39-cp39-macosx_10_16_x86_64.whl", hash = "sha256:c46767e8df1b7beefb0899c4a95fb43058fa8500b6db144f4ff3ca38eb2f6393"},
+ {file = "black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50254ebfa56aa46a9fdd5d651f9637485068a1adf42270148cd101cdf56e0ad9"},
+ {file = "black-23.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:403397c033adbc45c2bd41747da1f7fc7eaa44efbee256b53842470d4ac5a70f"},
+ {file = "black-23.9.1-py3-none-any.whl", hash = "sha256:6ccd59584cc834b6d127628713e4b6b968e5f79572da66284532525a042549f9"},
+ {file = "black-23.9.1.tar.gz", hash = "sha256:24b6b3ff5c6d9ea08a8888f6977eae858e1f340d7260cf56d70a49823236b62d"},
+]
+
+[package.dependencies]
+click = ">=8.0.0"
+ipython = {version = ">=7.8.0", optional = true, markers = "extra == \"jupyter\""}
+mypy-extensions = ">=0.4.3"
+packaging = ">=22.0"
+pathspec = ">=0.9.0"
+platformdirs = ">=2"
+tokenize-rt = {version = ">=3.2.0", optional = true, markers = "extra == \"jupyter\""}
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.7.4)"]
+jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
+uvloop = ["uvloop (>=0.15.2)"]
+
+[[package]]
+name = "bleach"
+version = "6.1.0"
+description = "An easy safelist-based HTML-sanitizing tool."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"},
+ {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"},
+]
+
+[package.dependencies]
+six = ">=1.9.0"
+webencodings = "*"
+
+[package.extras]
+css = ["tinycss2 (>=1.1.0,<1.3)"]
+
+[[package]]
+name = "certifi"
+version = "2024.2.2"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+ {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+]
+
+[[package]]
+name = "cffi"
+version = "1.16.0"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
+ {file = "cffi-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9"},
+ {file = "cffi-1.16.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673"},
+ {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896"},
+ {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684"},
+ {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7"},
+ {file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614"},
+ {file = "cffi-1.16.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743"},
+ {file = "cffi-1.16.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d"},
+ {file = "cffi-1.16.0-cp310-cp310-win32.whl", hash = "sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a"},
+ {file = "cffi-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1"},
+ {file = "cffi-1.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404"},
+ {file = "cffi-1.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417"},
+ {file = "cffi-1.16.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627"},
+ {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936"},
+ {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d"},
+ {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56"},
+ {file = "cffi-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e"},
+ {file = "cffi-1.16.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc"},
+ {file = "cffi-1.16.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb"},
+ {file = "cffi-1.16.0-cp311-cp311-win32.whl", hash = "sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab"},
+ {file = "cffi-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba"},
+ {file = "cffi-1.16.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956"},
+ {file = "cffi-1.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e"},
+ {file = "cffi-1.16.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e"},
+ {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2"},
+ {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357"},
+ {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6"},
+ {file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969"},
+ {file = "cffi-1.16.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520"},
+ {file = "cffi-1.16.0-cp312-cp312-win32.whl", hash = "sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b"},
+ {file = "cffi-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235"},
+ {file = "cffi-1.16.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc"},
+ {file = "cffi-1.16.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0"},
+ {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b"},
+ {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c"},
+ {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b"},
+ {file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324"},
+ {file = "cffi-1.16.0-cp38-cp38-win32.whl", hash = "sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a"},
+ {file = "cffi-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36"},
+ {file = "cffi-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed"},
+ {file = "cffi-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2"},
+ {file = "cffi-1.16.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872"},
+ {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8"},
+ {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f"},
+ {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4"},
+ {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098"},
+ {file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000"},
+ {file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe"},
+ {file = "cffi-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4"},
+ {file = "cffi-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8"},
+ {file = "cffi-1.16.0.tar.gz", hash = "sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0"},
+]
+
+[package.dependencies]
+pycparser = "*"
+
+[[package]]
+name = "cfgv"
+version = "3.4.0"
+description = "Validate configuration and produce human readable error messages."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
+ {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = false
+python-versions = ">=3.7.0"
+files = [
+ {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
+ {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
+ {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
+ {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"},
+ {file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"},
+ {file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"},
+ {file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"},
+ {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
+]
+
+[[package]]
+name = "click"
+version = "8.1.7"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
+ {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "codespell"
+version = "2.2.6"
+description = "Codespell"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "codespell-2.2.6-py3-none-any.whl", hash = "sha256:9ee9a3e5df0990604013ac2a9f22fa8e57669c827124a2e961fe8a1da4cacc07"},
+ {file = "codespell-2.2.6.tar.gz", hash = "sha256:a8c65d8eb3faa03deabab6b3bbe798bea72e1799c7e9e955d57eca4096abcff9"},
+]
+
+[package.dependencies]
+tomli = {version = "*", optional = true, markers = "python_version < \"3.11\" and extra == \"toml\""}
+
+[package.extras]
+dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
+hard-encoding-detection = ["chardet"]
+toml = ["tomli"]
+types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+description = "Cross-platform colored terminal text."
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
+]
+
+[[package]]
+name = "comm"
+version = "0.2.1"
+description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "comm-0.2.1-py3-none-any.whl", hash = "sha256:87928485c0dfc0e7976fd89fc1e187023cf587e7c353e4a9b417555b44adf021"},
+ {file = "comm-0.2.1.tar.gz", hash = "sha256:0bc91edae1344d39d3661dcbc36937181fdaddb304790458f8b044dbc064b89a"},
+]
+
+[package.dependencies]
+traitlets = ">=4"
+
+[package.extras]
+test = ["pytest"]
+
+[[package]]
+name = "cryptography"
+version = "42.0.2"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "cryptography-42.0.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:701171f825dcab90969596ce2af253143b93b08f1a716d4b2a9d2db5084ef7be"},
+ {file = "cryptography-42.0.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:61321672b3ac7aade25c40449ccedbc6db72c7f5f0fdf34def5e2f8b51ca530d"},
+ {file = "cryptography-42.0.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea2c3ffb662fec8bbbfce5602e2c159ff097a4631d96235fcf0fb00e59e3ece4"},
+ {file = "cryptography-42.0.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b15c678f27d66d247132cbf13df2f75255627bcc9b6a570f7d2fd08e8c081d2"},
+ {file = "cryptography-42.0.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:8e88bb9eafbf6a4014d55fb222e7360eef53e613215085e65a13290577394529"},
+ {file = "cryptography-42.0.2-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:a047682d324ba56e61b7ea7c7299d51e61fd3bca7dad2ccc39b72bd0118d60a1"},
+ {file = "cryptography-42.0.2-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:36d4b7c4be6411f58f60d9ce555a73df8406d484ba12a63549c88bd64f7967f1"},
+ {file = "cryptography-42.0.2-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:a00aee5d1b6c20620161984f8ab2ab69134466c51f58c052c11b076715e72929"},
+ {file = "cryptography-42.0.2-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:b97fe7d7991c25e6a31e5d5e795986b18fbbb3107b873d5f3ae6dc9a103278e9"},
+ {file = "cryptography-42.0.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5fa82a26f92871eca593b53359c12ad7949772462f887c35edaf36f87953c0e2"},
+ {file = "cryptography-42.0.2-cp37-abi3-win32.whl", hash = "sha256:4b063d3413f853e056161eb0c7724822a9740ad3caa24b8424d776cebf98e7ee"},
+ {file = "cryptography-42.0.2-cp37-abi3-win_amd64.whl", hash = "sha256:841ec8af7a8491ac76ec5a9522226e287187a3107e12b7d686ad354bb78facee"},
+ {file = "cryptography-42.0.2-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:55d1580e2d7e17f45d19d3b12098e352f3a37fe86d380bf45846ef257054b242"},
+ {file = "cryptography-42.0.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28cb2c41f131a5758d6ba6a0504150d644054fd9f3203a1e8e8d7ac3aea7f73a"},
+ {file = "cryptography-42.0.2-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b9097a208875fc7bbeb1286d0125d90bdfed961f61f214d3f5be62cd4ed8a446"},
+ {file = "cryptography-42.0.2-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:44c95c0e96b3cb628e8452ec060413a49002a247b2b9938989e23a2c8291fc90"},
+ {file = "cryptography-42.0.2-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:2f9f14185962e6a04ab32d1abe34eae8a9001569ee4edb64d2304bf0d65c53f3"},
+ {file = "cryptography-42.0.2-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:09a77e5b2e8ca732a19a90c5bca2d124621a1edb5438c5daa2d2738bfeb02589"},
+ {file = "cryptography-42.0.2-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:ad28cff53f60d99a928dfcf1e861e0b2ceb2bc1f08a074fdd601b314e1cc9e0a"},
+ {file = "cryptography-42.0.2-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:130c0f77022b2b9c99d8cebcdd834d81705f61c68e91ddd614ce74c657f8b3ea"},
+ {file = "cryptography-42.0.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:fa3dec4ba8fb6e662770b74f62f1a0c7d4e37e25b58b2bf2c1be4c95372b4a33"},
+ {file = "cryptography-42.0.2-cp39-abi3-win32.whl", hash = "sha256:3dbd37e14ce795b4af61b89b037d4bc157f2cb23e676fa16932185a04dfbf635"},
+ {file = "cryptography-42.0.2-cp39-abi3-win_amd64.whl", hash = "sha256:8a06641fb07d4e8f6c7dda4fc3f8871d327803ab6542e33831c7ccfdcb4d0ad6"},
+ {file = "cryptography-42.0.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:087887e55e0b9c8724cf05361357875adb5c20dec27e5816b653492980d20380"},
+ {file = "cryptography-42.0.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:a7ef8dd0bf2e1d0a27042b231a3baac6883cdd5557036f5e8df7139255feaac6"},
+ {file = "cryptography-42.0.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4383b47f45b14459cab66048d384614019965ba6c1a1a141f11b5a551cace1b2"},
+ {file = "cryptography-42.0.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:fbeb725c9dc799a574518109336acccaf1303c30d45c075c665c0793c2f79a7f"},
+ {file = "cryptography-42.0.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:320948ab49883557a256eab46149df79435a22d2fefd6a66fe6946f1b9d9d008"},
+ {file = "cryptography-42.0.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5ef9bc3d046ce83c4bbf4c25e1e0547b9c441c01d30922d812e887dc5f125c12"},
+ {file = "cryptography-42.0.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:52ed9ebf8ac602385126c9a2fe951db36f2cb0c2538d22971487f89d0de4065a"},
+ {file = "cryptography-42.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:141e2aa5ba100d3788c0ad7919b288f89d1fe015878b9659b307c9ef867d3a65"},
+ {file = "cryptography-42.0.2.tar.gz", hash = "sha256:e0ec52ba3c7f1b7d813cd52649a5b3ef1fc0d433219dc8c93827c57eab6cf888"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
+
+[package.extras]
+docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
+docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
+nox = ["nox"]
+pep8test = ["check-sdist", "click", "mypy", "ruff"]
+sdist = ["build"]
+ssh = ["bcrypt (>=3.1.5)"]
+test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test-randomorder = ["pytest-randomly"]
+
+[[package]]
+name = "dataclasses-json"
+version = "0.6.4"
+description = "Easily serialize dataclasses to and from JSON."
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+ {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"},
+ {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"},
+]
+
+[package.dependencies]
+marshmallow = ">=3.18.0,<4.0.0"
+typing-inspect = ">=0.4.0,<1"
+
+[[package]]
+name = "debugpy"
+version = "1.8.1"
+description = "An implementation of the Debug Adapter Protocol for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "debugpy-1.8.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:3bda0f1e943d386cc7a0e71bfa59f4137909e2ed947fb3946c506e113000f741"},
+ {file = "debugpy-1.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dda73bf69ea479c8577a0448f8c707691152e6c4de7f0c4dec5a4bc11dee516e"},
+ {file = "debugpy-1.8.1-cp310-cp310-win32.whl", hash = "sha256:3a79c6f62adef994b2dbe9fc2cc9cc3864a23575b6e387339ab739873bea53d0"},
+ {file = "debugpy-1.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:7eb7bd2b56ea3bedb009616d9e2f64aab8fc7000d481faec3cd26c98a964bcdd"},
+ {file = "debugpy-1.8.1-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:016a9fcfc2c6b57f939673c874310d8581d51a0fe0858e7fac4e240c5eb743cb"},
+ {file = "debugpy-1.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd97ed11a4c7f6d042d320ce03d83b20c3fb40da892f994bc041bbc415d7a099"},
+ {file = "debugpy-1.8.1-cp311-cp311-win32.whl", hash = "sha256:0de56aba8249c28a300bdb0672a9b94785074eb82eb672db66c8144fff673146"},
+ {file = "debugpy-1.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:1a9fe0829c2b854757b4fd0a338d93bc17249a3bf69ecf765c61d4c522bb92a8"},
+ {file = "debugpy-1.8.1-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:3ebb70ba1a6524d19fa7bb122f44b74170c447d5746a503e36adc244a20ac539"},
+ {file = "debugpy-1.8.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2e658a9630f27534e63922ebf655a6ab60c370f4d2fc5c02a5b19baf4410ace"},
+ {file = "debugpy-1.8.1-cp312-cp312-win32.whl", hash = "sha256:caad2846e21188797a1f17fc09c31b84c7c3c23baf2516fed5b40b378515bbf0"},
+ {file = "debugpy-1.8.1-cp312-cp312-win_amd64.whl", hash = "sha256:edcc9f58ec0fd121a25bc950d4578df47428d72e1a0d66c07403b04eb93bcf98"},
+ {file = "debugpy-1.8.1-cp38-cp38-macosx_11_0_x86_64.whl", hash = "sha256:7a3afa222f6fd3d9dfecd52729bc2e12c93e22a7491405a0ecbf9e1d32d45b39"},
+ {file = "debugpy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d915a18f0597ef685e88bb35e5d7ab968964b7befefe1aaea1eb5b2640b586c7"},
+ {file = "debugpy-1.8.1-cp38-cp38-win32.whl", hash = "sha256:92116039b5500633cc8d44ecc187abe2dfa9b90f7a82bbf81d079fcdd506bae9"},
+ {file = "debugpy-1.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:e38beb7992b5afd9d5244e96ad5fa9135e94993b0c551ceebf3fe1a5d9beb234"},
+ {file = "debugpy-1.8.1-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:bfb20cb57486c8e4793d41996652e5a6a885b4d9175dd369045dad59eaacea42"},
+ {file = "debugpy-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efd3fdd3f67a7e576dd869c184c5dd71d9aaa36ded271939da352880c012e703"},
+ {file = "debugpy-1.8.1-cp39-cp39-win32.whl", hash = "sha256:58911e8521ca0c785ac7a0539f1e77e0ce2df753f786188f382229278b4cdf23"},
+ {file = "debugpy-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:6df9aa9599eb05ca179fb0b810282255202a66835c6efb1d112d21ecb830ddd3"},
+ {file = "debugpy-1.8.1-py2.py3-none-any.whl", hash = "sha256:28acbe2241222b87e255260c76741e1fbf04fdc3b6d094fcf57b6c6f75ce1242"},
+ {file = "debugpy-1.8.1.zip", hash = "sha256:f696d6be15be87aef621917585f9bb94b1dc9e8aced570db1b8a6fc14e8f9b42"},
+]
+
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+ {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+ {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
+ {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
+]
+
+[[package]]
+name = "deprecated"
+version = "1.2.14"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+ {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
+ {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
+]
+
+[package.dependencies]
+wrapt = ">=1.10,<2"
+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+
+[[package]]
+name = "dill"
+version = "0.3.8"
+description = "serialize all of Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
+ {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+profile = ["gprof2dot (>=2022.7.29)"]
+
+[[package]]
+name = "dirtyjson"
+version = "1.0.8"
+description = "JSON decoder for Python that can extract data from the muck"
+optional = false
+python-versions = "*"
+files = [
+ {file = "dirtyjson-1.0.8-py3-none-any.whl", hash = "sha256:125e27248435a58acace26d5c2c4c11a1c0de0a9c5124c5a94ba78e517d74f53"},
+ {file = "dirtyjson-1.0.8.tar.gz", hash = "sha256:90ca4a18f3ff30ce849d100dcf4a003953c79d3a2348ef056f1d9c22231a25fd"},
+]
+
+[[package]]
+name = "distlib"
+version = "0.3.8"
+description = "Distribution utilities"
+optional = false
+python-versions = "*"
+files = [
+ {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
+ {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
+]
+
+[[package]]
+name = "distro"
+version = "1.9.0"
+description = "Distro - an OS platform information API"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
+ {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
+]
+
+[[package]]
+name = "exceptiongroup"
+version = "1.2.0"
+description = "Backport of PEP 654 (exception groups)"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
+ {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
+]
+
+[package.extras]
+test = ["pytest (>=6)"]
+
+[[package]]
+name = "executing"
+version = "2.0.1"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
+ {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
+]
+
+[package.extras]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
+
+[[package]]
+name = "fastjsonschema"
+version = "2.19.1"
+description = "Fastest Python implementation of JSON schema"
+optional = false
+python-versions = "*"
+files = [
+ {file = "fastjsonschema-2.19.1-py3-none-any.whl", hash = "sha256:3672b47bc94178c9f23dbb654bf47440155d4db9df5f7bc47643315f9c405cd0"},
+ {file = "fastjsonschema-2.19.1.tar.gz", hash = "sha256:e3126a94bdc4623d3de4485f8d468a12f02a67921315ddc87836d6e456dc789d"},
+]
+
+[package.extras]
+devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
+
+[[package]]
+name = "filelock"
+version = "3.13.1"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
+ {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+]
+
+[package.extras]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
+
+[[package]]
+name = "fqdn"
+version = "1.5.1"
+description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
+optional = false
+python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
+files = [
+ {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"},
+ {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
+]
+
+[[package]]
+name = "frozenlist"
+version = "1.4.1"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
+ {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
+ {file = "frozenlist-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776"},
+ {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a"},
+ {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad"},
+ {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c"},
+ {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe"},
+ {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a"},
+ {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98"},
+ {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75"},
+ {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5"},
+ {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950"},
+ {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc"},
+ {file = "frozenlist-1.4.1-cp310-cp310-win32.whl", hash = "sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1"},
+ {file = "frozenlist-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439"},
+ {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0"},
+ {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49"},
+ {file = "frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced"},
+ {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0"},
+ {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106"},
+ {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068"},
+ {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2"},
+ {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19"},
+ {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82"},
+ {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec"},
+ {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a"},
+ {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74"},
+ {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2"},
+ {file = "frozenlist-1.4.1-cp311-cp311-win32.whl", hash = "sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17"},
+ {file = "frozenlist-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825"},
+ {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae"},
+ {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb"},
+ {file = "frozenlist-1.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b"},
+ {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86"},
+ {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480"},
+ {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09"},
+ {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a"},
+ {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd"},
+ {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6"},
+ {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1"},
+ {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b"},
+ {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e"},
+ {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8"},
+ {file = "frozenlist-1.4.1-cp312-cp312-win32.whl", hash = "sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89"},
+ {file = "frozenlist-1.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5"},
+ {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d"},
+ {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826"},
+ {file = "frozenlist-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb"},
+ {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6"},
+ {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d"},
+ {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887"},
+ {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a"},
+ {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b"},
+ {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701"},
+ {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0"},
+ {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11"},
+ {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09"},
+ {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7"},
+ {file = "frozenlist-1.4.1-cp38-cp38-win32.whl", hash = "sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497"},
+ {file = "frozenlist-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09"},
+ {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e"},
+ {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d"},
+ {file = "frozenlist-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8"},
+ {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0"},
+ {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b"},
+ {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0"},
+ {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897"},
+ {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7"},
+ {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742"},
+ {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea"},
+ {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5"},
+ {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9"},
+ {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6"},
+ {file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"},
+ {file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"},
+ {file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"},
+ {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
+]
+
+[[package]]
+name = "fsspec"
+version = "2024.2.0"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
+ {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
+[[package]]
+name = "greenlet"
+version = "3.0.3"
+description = "Lightweight in-process concurrent programming"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "greenlet-3.0.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:9da2bd29ed9e4f15955dd1595ad7bc9320308a3b766ef7f837e23ad4b4aac31a"},
+ {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d353cadd6083fdb056bb46ed07e4340b0869c305c8ca54ef9da3421acbdf6881"},
+ {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dca1e2f3ca00b84a396bc1bce13dd21f680f035314d2379c4160c98153b2059b"},
+ {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3ed7fb269f15dc662787f4119ec300ad0702fa1b19d2135a37c2c4de6fadfd4a"},
+ {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd4f49ae60e10adbc94b45c0b5e6a179acc1736cf7a90160b404076ee283cf83"},
+ {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:73a411ef564e0e097dbe7e866bb2dda0f027e072b04da387282b02c308807405"},
+ {file = "greenlet-3.0.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7f362975f2d179f9e26928c5b517524e89dd48530a0202570d55ad6ca5d8a56f"},
+ {file = "greenlet-3.0.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:649dde7de1a5eceb258f9cb00bdf50e978c9db1b996964cd80703614c86495eb"},
+ {file = "greenlet-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:68834da854554926fbedd38c76e60c4a2e3198c6fbed520b106a8986445caaf9"},
+ {file = "greenlet-3.0.3-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:b1b5667cced97081bf57b8fa1d6bfca67814b0afd38208d52538316e9422fc61"},
+ {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:52f59dd9c96ad2fc0d5724107444f76eb20aaccb675bf825df6435acb7703559"},
+ {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:afaff6cf5200befd5cec055b07d1c0a5a06c040fe5ad148abcd11ba6ab9b114e"},
+ {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fe754d231288e1e64323cfad462fcee8f0288654c10bdf4f603a39ed923bef33"},
+ {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2797aa5aedac23af156bbb5a6aa2cd3427ada2972c828244eb7d1b9255846379"},
+ {file = "greenlet-3.0.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7f009caad047246ed379e1c4dbcb8b020f0a390667ea74d2387be2998f58a22"},
+ {file = "greenlet-3.0.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c5e1536de2aad7bf62e27baf79225d0d64360d4168cf2e6becb91baf1ed074f3"},
+ {file = "greenlet-3.0.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:894393ce10ceac937e56ec00bb71c4c2f8209ad516e96033e4b3b1de270e200d"},
+ {file = "greenlet-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:1ea188d4f49089fc6fb283845ab18a2518d279c7cd9da1065d7a84e991748728"},
+ {file = "greenlet-3.0.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:70fb482fdf2c707765ab5f0b6655e9cfcf3780d8d87355a063547b41177599be"},
+ {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4d1ac74f5c0c0524e4a24335350edad7e5f03b9532da7ea4d3c54d527784f2e"},
+ {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:149e94a2dd82d19838fe4b2259f1b6b9957d5ba1b25640d2380bea9c5df37676"},
+ {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:15d79dd26056573940fcb8c7413d84118086f2ec1a8acdfa854631084393efcc"},
+ {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:881b7db1ebff4ba09aaaeae6aa491daeb226c8150fc20e836ad00041bcb11230"},
+ {file = "greenlet-3.0.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fcd2469d6a2cf298f198f0487e0a5b1a47a42ca0fa4dfd1b6862c999f018ebbf"},
+ {file = "greenlet-3.0.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f672519db1796ca0d8753f9e78ec02355e862d0998193038c7073045899f305"},
+ {file = "greenlet-3.0.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2516a9957eed41dd8f1ec0c604f1cdc86758b587d964668b5b196a9db5bfcde6"},
+ {file = "greenlet-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:bba5387a6975598857d86de9eac14210a49d554a77eb8261cc68b7d082f78ce2"},
+ {file = "greenlet-3.0.3-cp37-cp37m-macosx_11_0_universal2.whl", hash = "sha256:5b51e85cb5ceda94e79d019ed36b35386e8c37d22f07d6a751cb659b180d5274"},
+ {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:daf3cb43b7cf2ba96d614252ce1684c1bccee6b2183a01328c98d36fcd7d5cb0"},
+ {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99bf650dc5d69546e076f413a87481ee1d2d09aaaaaca058c9251b6d8c14783f"},
+ {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2dd6e660effd852586b6a8478a1d244b8dc90ab5b1321751d2ea15deb49ed414"},
+ {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3391d1e16e2a5a1507d83e4a8b100f4ee626e8eca43cf2cadb543de69827c4c"},
+ {file = "greenlet-3.0.3-cp37-cp37m-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e1f145462f1fa6e4a4ae3c0f782e580ce44d57c8f2c7aae1b6fa88c0b2efdb41"},
+ {file = "greenlet-3.0.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:1a7191e42732df52cb5f39d3527217e7ab73cae2cb3694d241e18f53d84ea9a7"},
+ {file = "greenlet-3.0.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:0448abc479fab28b00cb472d278828b3ccca164531daab4e970a0458786055d6"},
+ {file = "greenlet-3.0.3-cp37-cp37m-win32.whl", hash = "sha256:b542be2440edc2d48547b5923c408cbe0fc94afb9f18741faa6ae970dbcb9b6d"},
+ {file = "greenlet-3.0.3-cp37-cp37m-win_amd64.whl", hash = "sha256:01bc7ea167cf943b4c802068e178bbf70ae2e8c080467070d01bfa02f337ee67"},
+ {file = "greenlet-3.0.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:1996cb9306c8595335bb157d133daf5cf9f693ef413e7673cb07e3e5871379ca"},
+ {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ddc0f794e6ad661e321caa8d2f0a55ce01213c74722587256fb6566049a8b04"},
+ {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c9db1c18f0eaad2f804728c67d6c610778456e3e1cc4ab4bbd5eeb8e6053c6fc"},
+ {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7170375bcc99f1a2fbd9c306f5be8764eaf3ac6b5cb968862cad4c7057756506"},
+ {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b66c9c1e7ccabad3a7d037b2bcb740122a7b17a53734b7d72a344ce39882a1b"},
+ {file = "greenlet-3.0.3-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:098d86f528c855ead3479afe84b49242e174ed262456c342d70fc7f972bc13c4"},
+ {file = "greenlet-3.0.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:81bb9c6d52e8321f09c3d165b2a78c680506d9af285bfccbad9fb7ad5a5da3e5"},
+ {file = "greenlet-3.0.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fd096eb7ffef17c456cfa587523c5f92321ae02427ff955bebe9e3c63bc9f0da"},
+ {file = "greenlet-3.0.3-cp38-cp38-win32.whl", hash = "sha256:d46677c85c5ba00a9cb6f7a00b2bfa6f812192d2c9f7d9c4f6a55b60216712f3"},
+ {file = "greenlet-3.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:419b386f84949bf0e7c73e6032e3457b82a787c1ab4a0e43732898a761cc9dbf"},
+ {file = "greenlet-3.0.3-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:da70d4d51c8b306bb7a031d5cff6cc25ad253affe89b70352af5f1cb68e74b53"},
+ {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:086152f8fbc5955df88382e8a75984e2bb1c892ad2e3c80a2508954e52295257"},
+ {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d73a9fe764d77f87f8ec26a0c85144d6a951a6c438dfe50487df5595c6373eac"},
+ {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b7dcbe92cc99f08c8dd11f930de4d99ef756c3591a5377d1d9cd7dd5e896da71"},
+ {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1551a8195c0d4a68fac7a4325efac0d541b48def35feb49d803674ac32582f61"},
+ {file = "greenlet-3.0.3-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:64d7675ad83578e3fc149b617a444fab8efdafc9385471f868eb5ff83e446b8b"},
+ {file = "greenlet-3.0.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b37eef18ea55f2ffd8f00ff8fe7c8d3818abd3e25fb73fae2ca3b672e333a7a6"},
+ {file = "greenlet-3.0.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:77457465d89b8263bca14759d7c1684df840b6811b2499838cc5b040a8b5b113"},
+ {file = "greenlet-3.0.3-cp39-cp39-win32.whl", hash = "sha256:57e8974f23e47dac22b83436bdcf23080ade568ce77df33159e019d161ce1d1e"},
+ {file = "greenlet-3.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:c5ee858cfe08f34712f548c3c363e807e7186f03ad7a5039ebadb29e8c6be067"},
+ {file = "greenlet-3.0.3.tar.gz", hash = "sha256:43374442353259554ce33599da8b692d5aa96f8976d567d4badf263371fbe491"},
+]
+
+[package.extras]
+docs = ["Sphinx", "furo"]
+test = ["objgraph", "psutil"]
+
+[[package]]
+name = "h11"
+version = "0.14.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
+ {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
+]
+
+[[package]]
+name = "httpcore"
+version = "0.17.3"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "httpcore-0.17.3-py3-none-any.whl", hash = "sha256:c2789b767ddddfa2a5782e3199b2b7f6894540b17b16ec26b2c4d8e103510b87"},
+ {file = "httpcore-0.17.3.tar.gz", hash = "sha256:a6f30213335e34c1ade7be6ec7c47f19f50c56db36abef1a9dfa3815b1cb3888"},
+]
+
+[package.dependencies]
+anyio = ">=3.0,<5.0"
+certifi = "*"
+h11 = ">=0.13,<0.15"
+sniffio = "==1.*"
+
+[package.extras]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "httpx"
+version = "0.24.1"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "httpx-0.24.1-py3-none-any.whl", hash = "sha256:06781eb9ac53cde990577af654bd990a4949de37a28bdb4a230d434f3a30b9bd"},
+ {file = "httpx-0.24.1.tar.gz", hash = "sha256:5853a43053df830c20f8110c5e69fe44d035d850b2dfe795e196f00fdb774bdd"},
+]
+
+[package.dependencies]
+certifi = "*"
+httpcore = ">=0.15.0,<0.18.0"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "identify"
+version = "2.5.34"
+description = "File identification library for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "identify-2.5.34-py2.py3-none-any.whl", hash = "sha256:a4316013779e433d08b96e5eabb7f641e6c7942e4ab5d4c509ebd2e7a8994aed"},
+ {file = "identify-2.5.34.tar.gz", hash = "sha256:ee17bc9d499899bc9eaec1ac7bf2dc9eedd480db9d88b96d123d3b64a9d34f5d"},
+]
+
+[package.extras]
+license = ["ukkonen"]
+
+[[package]]
+name = "idna"
+version = "3.6"
+description = "Internationalized Domain Names in Applications (IDNA)"
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
+ {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
+]
+
+[[package]]
+name = "importlib-metadata"
+version = "7.0.1"
+description = "Read metadata from Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "importlib_metadata-7.0.1-py3-none-any.whl", hash = "sha256:4805911c3a4ec7c3966410053e9ec6a1fecd629117df5adee56dfc9432a1081e"},
+ {file = "importlib_metadata-7.0.1.tar.gz", hash = "sha256:f238736bb06590ae52ac1fab06a3a9ef1d8dce2b7a35b5ab329371d6c8f5d2cc"},
+]
+
+[package.dependencies]
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+perf = ["ipython"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+
+[[package]]
+name = "importlib-resources"
+version = "6.1.1"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
+ {file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
+
+[[package]]
+name = "iniconfig"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
+ {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+]
+
+[[package]]
+name = "ipykernel"
+version = "6.29.2"
+description = "IPython Kernel for Jupyter"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "ipykernel-6.29.2-py3-none-any.whl", hash = "sha256:50384f5c577a260a1d53f1f59a828c7266d321c9b7d00d345693783f66616055"},
+ {file = "ipykernel-6.29.2.tar.gz", hash = "sha256:3bade28004e3ff624ed57974948116670604ac5f676d12339693f3142176d3f0"},
+]
+
+[package.dependencies]
+appnope = {version = "*", markers = "platform_system == \"Darwin\""}
+comm = ">=0.1.1"
+debugpy = ">=1.6.5"
+ipython = ">=7.23.1"
+jupyter-client = ">=6.1.12"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+matplotlib-inline = ">=0.1"
+nest-asyncio = "*"
+packaging = "*"
+psutil = "*"
+pyzmq = ">=24"
+tornado = ">=6.1"
+traitlets = ">=5.4.0"
+
+[package.extras]
+cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
+pyqt5 = ["pyqt5"]
+pyside6 = ["pyside6"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.4)", "pytest-cov", "pytest-timeout"]
+
+[[package]]
+name = "ipython"
+version = "8.10.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "ipython-8.10.0-py3-none-any.whl", hash = "sha256:b38c31e8fc7eff642fc7c597061fff462537cf2314e3225a19c906b7b0d8a345"},
+ {file = "ipython-8.10.0.tar.gz", hash = "sha256:b13a1d6c1f5818bd388db53b7107d17454129a70de2b87481d555daede5eb49e"},
+]
+
+[package.dependencies]
+appnope = {version = "*", markers = "sys_platform == \"darwin\""}
+backcall = "*"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
+pickleshare = "*"
+prompt-toolkit = ">=3.0.30,<3.1.0"
+pygments = ">=2.4.0"
+stack-data = "*"
+traitlets = ">=5"
+
+[package.extras]
+all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+black = ["black"]
+doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+kernel = ["ipykernel"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+
+[[package]]
+name = "ipywidgets"
+version = "8.1.2"
+description = "Jupyter interactive widgets"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "ipywidgets-8.1.2-py3-none-any.whl", hash = "sha256:bbe43850d79fb5e906b14801d6c01402857996864d1e5b6fa62dd2ee35559f60"},
+ {file = "ipywidgets-8.1.2.tar.gz", hash = "sha256:d0b9b41e49bae926a866e613a39b0f0097745d2b9f1f3dd406641b4a57ec42c9"},
+]
+
+[package.dependencies]
+comm = ">=0.1.3"
+ipython = ">=6.1.0"
+jupyterlab-widgets = ">=3.0.10,<3.1.0"
+traitlets = ">=4.3.1"
+widgetsnbextension = ">=4.0.10,<4.1.0"
+
+[package.extras]
+test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
+
+[[package]]
+name = "isoduration"
+version = "20.11.0"
+description = "Operations with ISO 8601 durations"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
+ {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
+]
+
+[package.dependencies]
+arrow = ">=0.15.0"
+
+[[package]]
+name = "isort"
+version = "5.13.2"
+description = "A Python utility / library to sort Python imports."
+optional = false
+python-versions = ">=3.8.0"
+files = [
+ {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
+ {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
+]
+
+[package.extras]
+colors = ["colorama (>=0.4.6)"]
+
+[[package]]
+name = "jedi"
+version = "0.19.1"
+description = "An autocompletion tool for Python that can be used for text editors."
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
+ {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
+]
+
+[package.dependencies]
+parso = ">=0.8.3,<0.9.0"
+
+[package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+
+[[package]]
+name = "jinja2"
+version = "3.1.3"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
+ {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
+[[package]]
+name = "joblib"
+version = "1.3.2"
+description = "Lightweight pipelining with Python functions"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
+ {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
+]
+
+[[package]]
+name = "json5"
+version = "0.9.14"
+description = "A Python implementation of the JSON5 data format."
+optional = false
+python-versions = "*"
+files = [
+ {file = "json5-0.9.14-py2.py3-none-any.whl", hash = "sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f"},
+ {file = "json5-0.9.14.tar.gz", hash = "sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02"},
+]
+
+[package.extras]
+dev = ["hypothesis"]
+
+[[package]]
+name = "jsonpointer"
+version = "2.4"
+description = "Identify specific nodes in a JSON document (RFC 6901)"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+files = [
+ {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
+ {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
+]
+
+[[package]]
+name = "jsonschema"
+version = "4.21.1"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+ {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
+isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
+jsonschema-specifications = ">=2023.03.6"
+pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""}
+referencing = ">=0.28.4"
+rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
+rpds-py = ">=0.7.1"
+uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
+webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-nongpl\""}
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2023.12.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+ {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
+]
+
+[package.dependencies]
+importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
+referencing = ">=0.31.0"
+
+[[package]]
+name = "jupyter"
+version = "1.0.0"
+description = "Jupyter metapackage. Install all the Jupyter components in one go."
+optional = false
+python-versions = "*"
+files = [
+ {file = "jupyter-1.0.0-py2.py3-none-any.whl", hash = "sha256:5b290f93b98ffbc21c0c7e749f054b3267782166d72fa5e3ed1ed4eaf34a2b78"},
+ {file = "jupyter-1.0.0.tar.gz", hash = "sha256:d9dc4b3318f310e34c82951ea5d6683f67bed7def4b259fafbfe4f1beb1d8e5f"},
+ {file = "jupyter-1.0.0.zip", hash = "sha256:3e1f86076bbb7c8c207829390305a2b1fe836d471ed54be66a3b8c41e7f46cc7"},
+]
+
+[package.dependencies]
+ipykernel = "*"
+ipywidgets = "*"
+jupyter-console = "*"
+nbconvert = "*"
+notebook = "*"
+qtconsole = "*"
+
+[[package]]
+name = "jupyter-client"
+version = "8.6.0"
+description = "Jupyter protocol implementation and client libraries"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyter_client-8.6.0-py3-none-any.whl", hash = "sha256:909c474dbe62582ae62b758bca86d6518c85234bdee2d908c778db6d72f39d99"},
+ {file = "jupyter_client-8.6.0.tar.gz", hash = "sha256:0642244bb83b4764ae60d07e010e15f0e2d275ec4e918a8f7b80fbbef3ca60c7"},
+]
+
+[package.dependencies]
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+python-dateutil = ">=2.8.2"
+pyzmq = ">=23.0"
+tornado = ">=6.2"
+traitlets = ">=5.3"
+
+[package.extras]
+docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+
+[[package]]
+name = "jupyter-console"
+version = "6.6.3"
+description = "Jupyter terminal console"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485"},
+ {file = "jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539"},
+]
+
+[package.dependencies]
+ipykernel = ">=6.14"
+ipython = "*"
+jupyter-client = ">=7.0.0"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+prompt-toolkit = ">=3.0.30"
+pygments = "*"
+pyzmq = ">=17"
+traitlets = ">=5.4"
+
+[package.extras]
+test = ["flaky", "pexpect", "pytest"]
+
+[[package]]
+name = "jupyter-core"
+version = "5.7.1"
+description = "Jupyter core package. A base package on which Jupyter projects rely."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyter_core-5.7.1-py3-none-any.whl", hash = "sha256:c65c82126453a723a2804aa52409930434598fd9d35091d63dfb919d2b765bb7"},
+ {file = "jupyter_core-5.7.1.tar.gz", hash = "sha256:de61a9d7fc71240f688b2fb5ab659fbb56979458dc66a71decd098e03c79e218"},
+]
+
+[package.dependencies]
+platformdirs = ">=2.5"
+pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
+traitlets = ">=5.3"
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
+test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
+
+[[package]]
+name = "jupyter-events"
+version = "0.9.0"
+description = "Jupyter Event System library"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyter_events-0.9.0-py3-none-any.whl", hash = "sha256:d853b3c10273ff9bc8bb8b30076d65e2c9685579db736873de6c2232dde148bf"},
+ {file = "jupyter_events-0.9.0.tar.gz", hash = "sha256:81ad2e4bc710881ec274d31c6c50669d71bbaa5dd9d01e600b56faa85700d399"},
+]
+
+[package.dependencies]
+jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]}
+python-json-logger = ">=2.0.4"
+pyyaml = ">=5.3"
+referencing = "*"
+rfc3339-validator = "*"
+rfc3986-validator = ">=0.1.1"
+traitlets = ">=5.3"
+
+[package.extras]
+cli = ["click", "rich"]
+docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"]
+test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
+
+[[package]]
+name = "jupyter-lsp"
+version = "2.2.2"
+description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyter-lsp-2.2.2.tar.gz", hash = "sha256:256d24620542ae4bba04a50fc1f6ffe208093a07d8e697fea0a8d1b8ca1b7e5b"},
+ {file = "jupyter_lsp-2.2.2-py3-none-any.whl", hash = "sha256:3b95229e4168355a8c91928057c1621ac3510ba98b2a925e82ebd77f078b1aa5"},
+]
+
+[package.dependencies]
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
+jupyter-server = ">=1.1.2"
+
+[[package]]
+name = "jupyter-server"
+version = "2.12.5"
+description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyter_server-2.12.5-py3-none-any.whl", hash = "sha256:184a0f82809a8522777cfb6b760ab6f4b1bb398664c5860a27cec696cb884923"},
+ {file = "jupyter_server-2.12.5.tar.gz", hash = "sha256:0edb626c94baa22809be1323f9770cf1c00a952b17097592e40d03e6a3951689"},
+]
+
+[package.dependencies]
+anyio = ">=3.1.0"
+argon2-cffi = "*"
+jinja2 = "*"
+jupyter-client = ">=7.4.4"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+jupyter-events = ">=0.9.0"
+jupyter-server-terminals = "*"
+nbconvert = ">=6.4.4"
+nbformat = ">=5.3.0"
+overrides = "*"
+packaging = "*"
+prometheus-client = "*"
+pywinpty = {version = "*", markers = "os_name == \"nt\""}
+pyzmq = ">=24"
+send2trash = ">=1.8.2"
+terminado = ">=0.8.3"
+tornado = ">=6.2.0"
+traitlets = ">=5.6.0"
+websocket-client = "*"
+
+[package.extras]
+docs = ["ipykernel", "jinja2", "jupyter-client", "jupyter-server", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"]
+test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.4)", "pytest-timeout", "requests"]
+
+[[package]]
+name = "jupyter-server-terminals"
+version = "0.5.2"
+description = "A Jupyter Server Extension Providing Terminals."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyter_server_terminals-0.5.2-py3-none-any.whl", hash = "sha256:1b80c12765da979513c42c90215481bbc39bd8ae7c0350b4f85bc3eb58d0fa80"},
+ {file = "jupyter_server_terminals-0.5.2.tar.gz", hash = "sha256:396b5ccc0881e550bf0ee7012c6ef1b53edbde69e67cab1d56e89711b46052e8"},
+]
+
+[package.dependencies]
+pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""}
+terminado = ">=0.8.3"
+
+[package.extras]
+docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
+test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
+
+[[package]]
+name = "jupyterlab"
+version = "4.0.12"
+description = "JupyterLab computational environment"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyterlab-4.0.12-py3-none-any.whl", hash = "sha256:53f132480e5f6564f4e20d1b5ed4e8b7945952a2decd5bdfa43760b1b536c99d"},
+ {file = "jupyterlab-4.0.12.tar.gz", hash = "sha256:965d92efa82a538ed70ccb3968d9aabba788840da882e13d7b061780cdedc3b7"},
+]
+
+[package.dependencies]
+async-lru = ">=1.0.0"
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
+importlib-resources = {version = ">=1.4", markers = "python_version < \"3.9\""}
+ipykernel = "*"
+jinja2 = ">=3.0.3"
+jupyter-core = "*"
+jupyter-lsp = ">=2.0.0"
+jupyter-server = ">=2.4.0,<3"
+jupyterlab-server = ">=2.19.0,<3"
+notebook-shim = ">=0.2"
+packaging = "*"
+tomli = {version = "*", markers = "python_version < \"3.11\""}
+tornado = ">=6.2.0"
+traitlets = "*"
+
+[package.extras]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
+test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
+
+[[package]]
+name = "jupyterlab-pygments"
+version = "0.3.0"
+description = "Pygments theme using JupyterLab CSS variables"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
+ {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
+]
+
+[[package]]
+name = "jupyterlab-server"
+version = "2.25.2"
+description = "A set of server components for JupyterLab and JupyterLab like applications."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "jupyterlab_server-2.25.2-py3-none-any.whl", hash = "sha256:5b1798c9cc6a44f65c757de9f97fc06fc3d42535afbf47d2ace5e964ab447aaf"},
+ {file = "jupyterlab_server-2.25.2.tar.gz", hash = "sha256:bd0ec7a99ebcedc8bcff939ef86e52c378e44c2707e053fcd81d046ce979ee63"},
+]
+
+[package.dependencies]
+babel = ">=2.10"
+importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
+jinja2 = ">=3.0.3"
+json5 = ">=0.9.0"
+jsonschema = ">=4.18.0"
+jupyter-server = ">=1.21,<3"
+packaging = ">=21.3"
+requests = ">=2.31"
+
+[package.extras]
+docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"]
+openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"]
+test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
+
+[[package]]
+name = "jupyterlab-widgets"
+version = "3.0.10"
+description = "Jupyter interactive widgets for JupyterLab"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "jupyterlab_widgets-3.0.10-py3-none-any.whl", hash = "sha256:dd61f3ae7a5a7f80299e14585ce6cf3d6925a96c9103c978eda293197730cb64"},
+ {file = "jupyterlab_widgets-3.0.10.tar.gz", hash = "sha256:04f2ac04976727e4f9d0fa91cdc2f1ab860f965e504c29dbd6a65c882c9d04c0"},
+]
+
+[[package]]
+name = "lazy-object-proxy"
+version = "1.10.0"
+description = "A fast and thorough lazy object proxy."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "lazy-object-proxy-1.10.0.tar.gz", hash = "sha256:78247b6d45f43a52ef35c25b5581459e85117225408a4128a3daf8bf9648ac69"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:855e068b0358ab916454464a884779c7ffa312b8925c6f7401e952dcf3b89977"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab7004cf2e59f7c2e4345604a3e6ea0d92ac44e1c2375527d56492014e690c3"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc0d2fc424e54c70c4bc06787e4072c4f3b1aa2f897dfdc34ce1013cf3ceef05"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e2adb09778797da09d2b5ebdbceebf7dd32e2c96f79da9052b2e87b6ea495895"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b1f711e2c6dcd4edd372cf5dec5c5a30d23bba06ee012093267b3376c079ec83"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-win32.whl", hash = "sha256:76a095cfe6045c7d0ca77db9934e8f7b71b14645f0094ffcd842349ada5c5fb9"},
+ {file = "lazy_object_proxy-1.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:b4f87d4ed9064b2628da63830986c3d2dca7501e6018347798313fcf028e2fd4"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fec03caabbc6b59ea4a638bee5fce7117be8e99a4103d9d5ad77f15d6f81020c"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02c83f957782cbbe8136bee26416686a6ae998c7b6191711a04da776dc9e47d4"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:009e6bb1f1935a62889ddc8541514b6a9e1fcf302667dcb049a0be5c8f613e56"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:75fc59fc450050b1b3c203c35020bc41bd2695ed692a392924c6ce180c6f1dc9"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:782e2c9b2aab1708ffb07d4bf377d12901d7a1d99e5e410d648d892f8967ab1f"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-win32.whl", hash = "sha256:edb45bb8278574710e68a6b021599a10ce730d156e5b254941754a9cc0b17d03"},
+ {file = "lazy_object_proxy-1.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:e271058822765ad5e3bca7f05f2ace0de58a3f4e62045a8c90a0dfd2f8ad8cc6"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e98c8af98d5707dcdecc9ab0863c0ea6e88545d42ca7c3feffb6b4d1e370c7ba"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:952c81d415b9b80ea261d2372d2a4a2332a3890c2b83e0535f263ddfe43f0d43"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80b39d3a151309efc8cc48675918891b865bdf742a8616a337cb0090791a0de9"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e221060b701e2aa2ea991542900dd13907a5c90fa80e199dbf5a03359019e7a3"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:92f09ff65ecff3108e56526f9e2481b8116c0b9e1425325e13245abfd79bdb1b"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-win32.whl", hash = "sha256:3ad54b9ddbe20ae9f7c1b29e52f123120772b06dbb18ec6be9101369d63a4074"},
+ {file = "lazy_object_proxy-1.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:127a789c75151db6af398b8972178afe6bda7d6f68730c057fbbc2e96b08d282"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4ed0518a14dd26092614412936920ad081a424bdcb54cc13349a8e2c6d106a"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ad9e6ed739285919aa9661a5bbed0aaf410aa60231373c5579c6b4801bd883c"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2fc0a92c02fa1ca1e84fc60fa258458e5bf89d90a1ddaeb8ed9cc3147f417255"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0aefc7591920bbd360d57ea03c995cebc204b424524a5bd78406f6e1b8b2a5d8"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5faf03a7d8942bb4476e3b62fd0f4cf94eaf4618e304a19865abf89a35c0bbee"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-win32.whl", hash = "sha256:e333e2324307a7b5d86adfa835bb500ee70bfcd1447384a822e96495796b0ca4"},
+ {file = "lazy_object_proxy-1.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:cb73507defd385b7705c599a94474b1d5222a508e502553ef94114a143ec6696"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:366c32fe5355ef5fc8a232c5436f4cc66e9d3e8967c01fb2e6302fd6627e3d94"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2297f08f08a2bb0d32a4265e98a006643cd7233fb7983032bd61ac7a02956b3b"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18dd842b49456aaa9a7cf535b04ca4571a302ff72ed8740d06b5adcd41fe0757"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:217138197c170a2a74ca0e05bddcd5f1796c735c37d0eee33e43259b192aa424"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9a3a87cf1e133e5b1994144c12ca4aa3d9698517fe1e2ca82977781b16955658"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-win32.whl", hash = "sha256:30b339b2a743c5288405aa79a69e706a06e02958eab31859f7f3c04980853b70"},
+ {file = "lazy_object_proxy-1.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:a899b10e17743683b293a729d3a11f2f399e8a90c73b089e29f5d0fe3509f0dd"},
+ {file = "lazy_object_proxy-1.10.0-pp310.pp311.pp312.pp38.pp39-none-any.whl", hash = "sha256:80fa48bd89c8f2f456fc0765c11c23bf5af827febacd2f523ca5bc1893fcc09d"},
+]
+
+[[package]]
+name = "llama-index-core"
+version = "0.10.3"
+description = "Interface between LLMs and your data"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+ {file = "llama_index_core-0.10.3-py3-none-any.whl", hash = "sha256:711e2766cb1690a394a209dc6155d1b7a05b44fd6b7e08084d6b96c00bef5dd0"},
+ {file = "llama_index_core-0.10.3.tar.gz", hash = "sha256:5cced2c56bd640311835094fe6946ce6498e6d31dffcdb3df7583ff1aa3861b8"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.6,<4.0.0"
+dataclasses-json = "*"
+deprecated = ">=1.2.9.3"
+dirtyjson = ">=1.0.8,<2.0.0"
+fsspec = ">=2023.5.0"
+httpx = "*"
+nest-asyncio = ">=1.5.8,<2.0.0"
+networkx = ">=3.0"
+nltk = ">=3.8.1,<4.0.0"
+numpy = "*"
+openai = ">=1.1.0"
+pandas = "*"
+pillow = ">=9.0.0"
+PyYAML = ">=6.0.1"
+requests = ">=2.31.0"
+SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
+tenacity = ">=8.2.0,<9.0.0"
+tiktoken = ">=0.3.3"
+tqdm = ">=4.66.1,<5.0.0"
+typing-extensions = ">=4.5.0"
+typing-inspect = ">=0.8.0"
+
+[package.extras]
+gradientai = ["gradientai (>=1.4.0)"]
+html = ["beautifulsoup4 (>=4.12.2,<5.0.0)"]
+langchain = ["langchain (>=0.0.303)"]
+local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"]
+postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"]
+query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"]
+
+[[package]]
+name = "llamaindex-py-client"
+version = "0.1.9"
+description = ""
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+ {file = "llamaindex_py_client-0.1.9-py3-none-any.whl", hash = "sha256:b710999b4045cd7888c75c4fb0b0f583dbd3db106796a80d6403a53261e54096"},
+ {file = "llamaindex_py_client-0.1.9.tar.gz", hash = "sha256:60e1a0b61f7679836d2027d973f62956525bf3374cb4a0eafd5e94e839fa25d5"},
+]
+
+[package.dependencies]
+httpx = ">=0.20.0,<0.25.0"
+pydantic = "1.10.12"
+
+[[package]]
+name = "markupsafe"
+version = "2.1.5"
+description = "Safely add untrusted strings to HTML/XML markup."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"},
+ {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"},
+ {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"},
+ {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"},
+ {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"},
+ {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"},
+ {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"},
+ {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
+]
+
+[[package]]
+name = "marshmallow"
+version = "3.20.2"
+description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "marshmallow-3.20.2-py3-none-any.whl", hash = "sha256:c21d4b98fee747c130e6bc8f45c4b3199ea66bc00c12ee1f639f0aeca034d5e9"},
+ {file = "marshmallow-3.20.2.tar.gz", hash = "sha256:4c1daff273513dc5eb24b219a8035559dc573c8f322558ef85f5438ddd1236dd"},
+]
+
+[package.dependencies]
+packaging = ">=17.0"
+
+[package.extras]
+dev = ["pre-commit (>=2.4,<4.0)", "pytest", "pytz", "simplejson", "tox"]
+docs = ["alabaster (==0.7.15)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==3.0.1)", "sphinx-version-warning (==1.1.2)"]
+lint = ["pre-commit (>=2.4,<4.0)"]
+tests = ["pytest", "pytz", "simplejson"]
+
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.6"
+description = "Inline Matplotlib backend for Jupyter"
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
+ {file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"},
+]
+
+[package.dependencies]
+traitlets = "*"
+
+[[package]]
+name = "mccabe"
+version = "0.7.0"
+description = "McCabe checker, plugin for flake8"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
+ {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
+]
+
+[[package]]
+name = "mistune"
+version = "3.0.2"
+description = "A sane and fast Markdown parser with useful plugins and renderers"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
+ {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
+]
+
+[[package]]
+name = "multidict"
+version = "6.0.5"
+description = "multidict implementation"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
+ {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
+ {file = "multidict-6.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600"},
+ {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c"},
+ {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5"},
+ {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f"},
+ {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae"},
+ {file = "multidict-6.0.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182"},
+ {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf"},
+ {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442"},
+ {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a"},
+ {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef"},
+ {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc"},
+ {file = "multidict-6.0.5-cp310-cp310-win32.whl", hash = "sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319"},
+ {file = "multidict-6.0.5-cp310-cp310-win_amd64.whl", hash = "sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8"},
+ {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba"},
+ {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e"},
+ {file = "multidict-6.0.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd"},
+ {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3"},
+ {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf"},
+ {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29"},
+ {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed"},
+ {file = "multidict-6.0.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733"},
+ {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f"},
+ {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4"},
+ {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1"},
+ {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc"},
+ {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e"},
+ {file = "multidict-6.0.5-cp311-cp311-win32.whl", hash = "sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c"},
+ {file = "multidict-6.0.5-cp311-cp311-win_amd64.whl", hash = "sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea"},
+ {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e"},
+ {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b"},
+ {file = "multidict-6.0.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5"},
+ {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450"},
+ {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496"},
+ {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a"},
+ {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226"},
+ {file = "multidict-6.0.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271"},
+ {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb"},
+ {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef"},
+ {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24"},
+ {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6"},
+ {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda"},
+ {file = "multidict-6.0.5-cp312-cp312-win32.whl", hash = "sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5"},
+ {file = "multidict-6.0.5-cp312-cp312-win_amd64.whl", hash = "sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556"},
+ {file = "multidict-6.0.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3"},
+ {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5"},
+ {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd"},
+ {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e"},
+ {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626"},
+ {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83"},
+ {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a"},
+ {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c"},
+ {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5"},
+ {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3"},
+ {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc"},
+ {file = "multidict-6.0.5-cp37-cp37m-win32.whl", hash = "sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee"},
+ {file = "multidict-6.0.5-cp37-cp37m-win_amd64.whl", hash = "sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423"},
+ {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54"},
+ {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d"},
+ {file = "multidict-6.0.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7"},
+ {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93"},
+ {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8"},
+ {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b"},
+ {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50"},
+ {file = "multidict-6.0.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e"},
+ {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89"},
+ {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386"},
+ {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453"},
+ {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461"},
+ {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44"},
+ {file = "multidict-6.0.5-cp38-cp38-win32.whl", hash = "sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241"},
+ {file = "multidict-6.0.5-cp38-cp38-win_amd64.whl", hash = "sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c"},
+ {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929"},
+ {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9"},
+ {file = "multidict-6.0.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a"},
+ {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1"},
+ {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e"},
+ {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046"},
+ {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c"},
+ {file = "multidict-6.0.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40"},
+ {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527"},
+ {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9"},
+ {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38"},
+ {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479"},
+ {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c"},
+ {file = "multidict-6.0.5-cp39-cp39-win32.whl", hash = "sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b"},
+ {file = "multidict-6.0.5-cp39-cp39-win_amd64.whl", hash = "sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755"},
+ {file = "multidict-6.0.5-py3-none-any.whl", hash = "sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7"},
+ {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
+]
+
+[[package]]
+name = "mypy"
+version = "0.991"
+description = "Optional static typing for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "mypy-0.991-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7d17e0a9707d0772f4a7b878f04b4fd11f6f5bcb9b3813975a9b13c9332153ab"},
+ {file = "mypy-0.991-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0714258640194d75677e86c786e80ccf294972cc76885d3ebbb560f11db0003d"},
+ {file = "mypy-0.991-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0c8f3be99e8a8bd403caa8c03be619544bc2c77a7093685dcf308c6b109426c6"},
+ {file = "mypy-0.991-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc9ec663ed6c8f15f4ae9d3c04c989b744436c16d26580eaa760ae9dd5d662eb"},
+ {file = "mypy-0.991-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4307270436fd7694b41f913eb09210faff27ea4979ecbcd849e57d2da2f65305"},
+ {file = "mypy-0.991-cp310-cp310-win_amd64.whl", hash = "sha256:901c2c269c616e6cb0998b33d4adbb4a6af0ac4ce5cd078afd7bc95830e62c1c"},
+ {file = "mypy-0.991-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d13674f3fb73805ba0c45eb6c0c3053d218aa1f7abead6e446d474529aafc372"},
+ {file = "mypy-0.991-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1c8cd4fb70e8584ca1ed5805cbc7c017a3d1a29fb450621089ffed3e99d1857f"},
+ {file = "mypy-0.991-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:209ee89fbb0deed518605edddd234af80506aec932ad28d73c08f1400ef80a33"},
+ {file = "mypy-0.991-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37bd02ebf9d10e05b00d71302d2c2e6ca333e6c2a8584a98c00e038db8121f05"},
+ {file = "mypy-0.991-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:26efb2fcc6b67e4d5a55561f39176821d2adf88f2745ddc72751b7890f3194ad"},
+ {file = "mypy-0.991-cp311-cp311-win_amd64.whl", hash = "sha256:3a700330b567114b673cf8ee7388e949f843b356a73b5ab22dd7cff4742a5297"},
+ {file = "mypy-0.991-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:1f7d1a520373e2272b10796c3ff721ea1a0712288cafaa95931e66aa15798813"},
+ {file = "mypy-0.991-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:641411733b127c3e0dab94c45af15fea99e4468f99ac88b39efb1ad677da5711"},
+ {file = "mypy-0.991-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3d80e36b7d7a9259b740be6d8d906221789b0d836201af4234093cae89ced0cd"},
+ {file = "mypy-0.991-cp37-cp37m-win_amd64.whl", hash = "sha256:e62ebaad93be3ad1a828a11e90f0e76f15449371ffeecca4a0a0b9adc99abcef"},
+ {file = "mypy-0.991-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:b86ce2c1866a748c0f6faca5232059f881cda6dda2a893b9a8373353cfe3715a"},
+ {file = "mypy-0.991-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ac6e503823143464538efda0e8e356d871557ef60ccd38f8824a4257acc18d93"},
+ {file = "mypy-0.991-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0cca5adf694af539aeaa6ac633a7afe9bbd760df9d31be55ab780b77ab5ae8bf"},
+ {file = "mypy-0.991-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a12c56bf73cdab116df96e4ff39610b92a348cc99a1307e1da3c3768bbb5b135"},
+ {file = "mypy-0.991-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:652b651d42f155033a1967739788c436491b577b6a44e4c39fb340d0ee7f0d70"},
+ {file = "mypy-0.991-cp38-cp38-win_amd64.whl", hash = "sha256:4175593dc25d9da12f7de8de873a33f9b2b8bdb4e827a7cae952e5b1a342e243"},
+ {file = "mypy-0.991-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:98e781cd35c0acf33eb0295e8b9c55cdbef64fcb35f6d3aa2186f289bed6e80d"},
+ {file = "mypy-0.991-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6d7464bac72a85cb3491c7e92b5b62f3dcccb8af26826257760a552a5e244aa5"},
+ {file = "mypy-0.991-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c9166b3f81a10cdf9b49f2d594b21b31adadb3d5e9db9b834866c3258b695be3"},
+ {file = "mypy-0.991-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8472f736a5bfb159a5e36740847808f6f5b659960115ff29c7cecec1741c648"},
+ {file = "mypy-0.991-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5e80e758243b97b618cdf22004beb09e8a2de1af481382e4d84bc52152d1c476"},
+ {file = "mypy-0.991-cp39-cp39-win_amd64.whl", hash = "sha256:74e259b5c19f70d35fcc1ad3d56499065c601dfe94ff67ae48b85596b9ec1461"},
+ {file = "mypy-0.991-py3-none-any.whl", hash = "sha256:de32edc9b0a7e67c2775e574cb061a537660e51210fbf6006b0b36ea695ae9bb"},
+ {file = "mypy-0.991.tar.gz", hash = "sha256:3c0165ba8f354a6d9881809ef29f1a9318a236a6d81c690094c5df32107bde06"},
+]
+
+[package.dependencies]
+mypy-extensions = ">=0.4.3"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = ">=3.10"
+
+[package.extras]
+dmypy = ["psutil (>=4.0)"]
+install-types = ["pip"]
+python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
+
+[[package]]
+name = "mypy-extensions"
+version = "1.0.0"
+description = "Type system extensions for programs checked with the mypy type checker."
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
+ {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
+]
+
+[[package]]
+name = "nbclient"
+version = "0.9.0"
+description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
+optional = false
+python-versions = ">=3.8.0"
+files = [
+ {file = "nbclient-0.9.0-py3-none-any.whl", hash = "sha256:a3a1ddfb34d4a9d17fc744d655962714a866639acd30130e9be84191cd97cd15"},
+ {file = "nbclient-0.9.0.tar.gz", hash = "sha256:4b28c207877cf33ef3a9838cdc7a54c5ceff981194a82eac59d558f05487295e"},
+]
+
+[package.dependencies]
+jupyter-client = ">=6.1.12"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+nbformat = ">=5.1"
+traitlets = ">=5.4"
+
+[package.extras]
+dev = ["pre-commit"]
+docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
+test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
+
+[[package]]
+name = "nbconvert"
+version = "7.16.0"
+description = "Converting Jupyter Notebooks"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "nbconvert-7.16.0-py3-none-any.whl", hash = "sha256:ad3dc865ea6e2768d31b7eb6c7ab3be014927216a5ece3ef276748dd809054c7"},
+ {file = "nbconvert-7.16.0.tar.gz", hash = "sha256:813e6553796362489ae572e39ba1bff978536192fb518e10826b0e8cadf03ec8"},
+]
+
+[package.dependencies]
+beautifulsoup4 = "*"
+bleach = "!=5.0.0"
+defusedxml = "*"
+importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
+jinja2 = ">=3.0"
+jupyter-core = ">=4.7"
+jupyterlab-pygments = "*"
+markupsafe = ">=2.0"
+mistune = ">=2.0.3,<4"
+nbclient = ">=0.5.0"
+nbformat = ">=5.7"
+packaging = "*"
+pandocfilters = ">=1.4.1"
+pygments = ">=2.4.1"
+tinycss2 = "*"
+traitlets = ">=5.1"
+
+[package.extras]
+all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"]
+docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
+qtpdf = ["nbconvert[qtpng]"]
+qtpng = ["pyqtwebengine (>=5.15)"]
+serve = ["tornado (>=6.1)"]
+test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest"]
+webpdf = ["playwright"]
+
+[[package]]
+name = "nbformat"
+version = "5.9.2"
+description = "The Jupyter Notebook format"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "nbformat-5.9.2-py3-none-any.whl", hash = "sha256:1c5172d786a41b82bcfd0c23f9e6b6f072e8fb49c39250219e4acfff1efe89e9"},
+ {file = "nbformat-5.9.2.tar.gz", hash = "sha256:5f98b5ba1997dff175e77e0c17d5c10a96eaed2cbd1de3533d1fc35d5e111192"},
+]
+
+[package.dependencies]
+fastjsonschema = "*"
+jsonschema = ">=2.6"
+jupyter-core = "*"
+traitlets = ">=5.1"
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+test = ["pep440", "pre-commit", "pytest", "testpath"]
+
+[[package]]
+name = "nest-asyncio"
+version = "1.6.0"
+description = "Patch asyncio to allow nested event loops"
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
+ {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
+]
+
+[[package]]
+name = "networkx"
+version = "3.1"
+description = "Python package for creating and manipulating graphs and networks"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "networkx-3.1-py3-none-any.whl", hash = "sha256:4f33f68cb2afcf86f28a45f43efc27a9386b535d567d2127f8f61d51dec58d36"},
+ {file = "networkx-3.1.tar.gz", hash = "sha256:de346335408f84de0eada6ff9fafafff9bcda11f0a0dfaa931133debb146ab61"},
+]
+
+[package.extras]
+default = ["matplotlib (>=3.4)", "numpy (>=1.20)", "pandas (>=1.3)", "scipy (>=1.8)"]
+developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
+doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.13)", "sphinx (>=6.1)", "sphinx-gallery (>=0.12)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"]
+test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
+[[package]]
+name = "nltk"
+version = "3.8.1"
+description = "Natural Language Toolkit"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "nltk-3.8.1-py3-none-any.whl", hash = "sha256:fd5c9109f976fa86bcadba8f91e47f5e9293bd034474752e92a520f81c93dda5"},
+ {file = "nltk-3.8.1.zip", hash = "sha256:1834da3d0682cba4f2cede2f9aad6b0fafb6461ba451db0efb6f9c39798d64d3"},
+]
+
+[package.dependencies]
+click = "*"
+joblib = "*"
+regex = ">=2021.8.3"
+tqdm = "*"
+
+[package.extras]
+all = ["matplotlib", "numpy", "pyparsing", "python-crfsuite", "requests", "scikit-learn", "scipy", "twython"]
+corenlp = ["requests"]
+machine-learning = ["numpy", "python-crfsuite", "scikit-learn", "scipy"]
+plot = ["matplotlib"]
+tgrep = ["pyparsing"]
+twitter = ["twython"]
+
+[[package]]
+name = "nodeenv"
+version = "1.8.0"
+description = "Node.js virtual environment builder"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+files = [
+ {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
+ {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
+]
+
+[package.dependencies]
+setuptools = "*"
+
+[[package]]
+name = "notebook"
+version = "7.0.8"
+description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "notebook-7.0.8-py3-none-any.whl", hash = "sha256:7f421b3fd46a17d91830e724b94e8e9ae922af152ebfd48b1e13ae4a07d8193c"},
+ {file = "notebook-7.0.8.tar.gz", hash = "sha256:3957ecd956056b0014677afc76d3bb44c2d2f29649f87b24d13606ff1d18938f"},
+]
+
+[package.dependencies]
+jupyter-server = ">=2.4.0,<3"
+jupyterlab = ">=4.0.2,<4.1"
+jupyterlab-server = ">=2.22.1,<3"
+notebook-shim = ">=0.2,<0.3"
+tornado = ">=6.2.0"
+
+[package.extras]
+dev = ["hatch", "pre-commit"]
+docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.22.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"]
+
+[[package]]
+name = "notebook-shim"
+version = "0.2.3"
+description = "A shim layer for notebook traits and config"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "notebook_shim-0.2.3-py3-none-any.whl", hash = "sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7"},
+ {file = "notebook_shim-0.2.3.tar.gz", hash = "sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9"},
+]
+
+[package.dependencies]
+jupyter-server = ">=1.8,<3"
+
+[package.extras]
+test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"]
+
+[[package]]
+name = "numpy"
+version = "1.24.4"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
+ {file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"},
+ {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"},
+ {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"},
+ {file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"},
+ {file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"},
+ {file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"},
+ {file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"},
+ {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"},
+ {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"},
+ {file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"},
+ {file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"},
+ {file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"},
+ {file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"},
+ {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"},
+ {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"},
+ {file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"},
+ {file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"},
+ {file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"},
+ {file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"},
+ {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"},
+ {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"},
+ {file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"},
+ {file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"},
+ {file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"},
+ {file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"},
+ {file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"},
+ {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
+]
+
+[[package]]
+name = "openai"
+version = "1.12.0"
+description = "The official Python library for the openai API"
+optional = false
+python-versions = ">=3.7.1"
+files = [
+ {file = "openai-1.12.0-py3-none-any.whl", hash = "sha256:a54002c814e05222e413664f651b5916714e4700d041d5cf5724d3ae1a3e3481"},
+ {file = "openai-1.12.0.tar.gz", hash = "sha256:99c5d257d09ea6533d689d1cc77caa0ac679fa21efef8893d8b0832a86877f1b"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tqdm = ">4"
+typing-extensions = ">=4.7,<5"
+
+[package.extras]
+datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+
+[[package]]
+name = "overrides"
+version = "7.7.0"
+description = "A decorator to automatically detect mismatch when overriding a method."
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
+ {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
+]
+
+[[package]]
+name = "packaging"
+version = "23.2"
+description = "Core utilities for Python packages"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
+ {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
+]
+
+[[package]]
+name = "pandas"
+version = "2.0.3"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"},
+ {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"},
+ {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"},
+ {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"},
+ {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"},
+ {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"},
+ {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"},
+ {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"},
+ {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"},
+ {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"},
+ {file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"},
+ {file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"},
+ {file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"},
+ {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"},
+ {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"},
+ {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"},
+ {file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"},
+ {file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"},
+ {file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"},
+ {file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"},
+ {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"},
+ {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"},
+ {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"},
+ {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"},
+ {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"},
+]
+
+[package.dependencies]
+numpy = [
+ {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+ {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
+ {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+]
+python-dateutil = ">=2.8.2"
+pytz = ">=2020.1"
+tzdata = ">=2022.1"
+
+[package.extras]
+all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
+aws = ["s3fs (>=2021.08.0)"]
+clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
+compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
+computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
+feather = ["pyarrow (>=7.0.0)"]
+fss = ["fsspec (>=2021.07.0)"]
+gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
+hdf5 = ["tables (>=3.6.1)"]
+html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
+mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
+parquet = ["pyarrow (>=7.0.0)"]
+performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
+plot = ["matplotlib (>=3.6.1)"]
+postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
+spss = ["pyreadstat (>=1.1.2)"]
+sql-other = ["SQLAlchemy (>=1.4.16)"]
+test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.6.3)"]
+
+[[package]]
+name = "pandocfilters"
+version = "1.5.1"
+description = "Utilities for writing pandoc filters in python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+ {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
+ {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
+]
+
+[[package]]
+name = "parso"
+version = "0.8.3"
+description = "A Python Parser"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "parso-0.8.3-py2.py3-none-any.whl", hash = "sha256:c001d4636cd3aecdaf33cbb40aebb59b094be2a74c556778ef5576c175e19e75"},
+ {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
+]
+
+[package.extras]
+qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
+testing = ["docopt", "pytest (<6.0.0)"]
+
+[[package]]
+name = "pathspec"
+version = "0.12.1"
+description = "Utility library for gitignore style pattern matching of file paths."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
+ {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
+]
+
+[[package]]
+name = "pexpect"
+version = "4.9.0"
+description = "Pexpect allows easy control of interactive console applications."
+optional = false
+python-versions = "*"
+files = [
+ {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
+ {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
+]
+
+[package.dependencies]
+ptyprocess = ">=0.5"
+
+[[package]]
+name = "pickleshare"
+version = "0.7.5"
+description = "Tiny 'shelve'-like database with concurrency support"
+optional = false
+python-versions = "*"
+files = [
+ {file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"},
+ {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
+]
+
+[[package]]
+name = "pillow"
+version = "10.2.0"
+description = "Python Imaging Library (Fork)"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pillow-10.2.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:7823bdd049099efa16e4246bdf15e5a13dbb18a51b68fa06d6c1d4d8b99a796e"},
+ {file = "pillow-10.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:83b2021f2ade7d1ed556bc50a399127d7fb245e725aa0113ebd05cfe88aaf588"},
+ {file = "pillow-10.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fad5ff2f13d69b7e74ce5b4ecd12cc0ec530fcee76356cac6742785ff71c452"},
+ {file = "pillow-10.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da2b52b37dad6d9ec64e653637a096905b258d2fc2b984c41ae7d08b938a67e4"},
+ {file = "pillow-10.2.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:47c0995fc4e7f79b5cfcab1fc437ff2890b770440f7696a3ba065ee0fd496563"},
+ {file = "pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:322bdf3c9b556e9ffb18f93462e5f749d3444ce081290352c6070d014c93feb2"},
+ {file = "pillow-10.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:51f1a1bffc50e2e9492e87d8e09a17c5eea8409cda8d3f277eb6edc82813c17c"},
+ {file = "pillow-10.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:69ffdd6120a4737710a9eee73e1d2e37db89b620f702754b8f6e62594471dee0"},
+ {file = "pillow-10.2.0-cp310-cp310-win32.whl", hash = "sha256:c6dafac9e0f2b3c78df97e79af707cdc5ef8e88208d686a4847bab8266870023"},
+ {file = "pillow-10.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:aebb6044806f2e16ecc07b2a2637ee1ef67a11840a66752751714a0d924adf72"},
+ {file = "pillow-10.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:7049e301399273a0136ff39b84c3678e314f2158f50f517bc50285fb5ec847ad"},
+ {file = "pillow-10.2.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:35bb52c37f256f662abdfa49d2dfa6ce5d93281d323a9af377a120e89a9eafb5"},
+ {file = "pillow-10.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9c23f307202661071d94b5e384e1e1dc7dfb972a28a2310e4ee16103e66ddb67"},
+ {file = "pillow-10.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:773efe0603db30c281521a7c0214cad7836c03b8ccff897beae9b47c0b657d61"},
+ {file = "pillow-10.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11fa2e5984b949b0dd6d7a94d967743d87c577ff0b83392f17cb3990d0d2fd6e"},
+ {file = "pillow-10.2.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:716d30ed977be8b37d3ef185fecb9e5a1d62d110dfbdcd1e2a122ab46fddb03f"},
+ {file = "pillow-10.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a086c2af425c5f62a65e12fbf385f7c9fcb8f107d0849dba5839461a129cf311"},
+ {file = "pillow-10.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c8de2789052ed501dd829e9cae8d3dcce7acb4777ea4a479c14521c942d395b1"},
+ {file = "pillow-10.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:609448742444d9290fd687940ac0b57fb35e6fd92bdb65386e08e99af60bf757"},
+ {file = "pillow-10.2.0-cp311-cp311-win32.whl", hash = "sha256:823ef7a27cf86df6597fa0671066c1b596f69eba53efa3d1e1cb8b30f3533068"},
+ {file = "pillow-10.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:1da3b2703afd040cf65ec97efea81cfba59cdbed9c11d8efc5ab09df9509fc56"},
+ {file = "pillow-10.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:edca80cbfb2b68d7b56930b84a0e45ae1694aeba0541f798e908a49d66b837f1"},
+ {file = "pillow-10.2.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:1b5e1b74d1bd1b78bc3477528919414874748dd363e6272efd5abf7654e68bef"},
+ {file = "pillow-10.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0eae2073305f451d8ecacb5474997c08569fb4eb4ac231ffa4ad7d342fdc25ac"},
+ {file = "pillow-10.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7c2286c23cd350b80d2fc9d424fc797575fb16f854b831d16fd47ceec078f2c"},
+ {file = "pillow-10.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e23412b5c41e58cec602f1135c57dfcf15482013ce6e5f093a86db69646a5aa"},
+ {file = "pillow-10.2.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:52a50aa3fb3acb9cf7213573ef55d31d6eca37f5709c69e6858fe3bc04a5c2a2"},
+ {file = "pillow-10.2.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:127cee571038f252a552760076407f9cff79761c3d436a12af6000cd182a9d04"},
+ {file = "pillow-10.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:8d12251f02d69d8310b046e82572ed486685c38f02176bd08baf216746eb947f"},
+ {file = "pillow-10.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:54f1852cd531aa981bc0965b7d609f5f6cc8ce8c41b1139f6ed6b3c54ab82bfb"},
+ {file = "pillow-10.2.0-cp312-cp312-win32.whl", hash = "sha256:257d8788df5ca62c980314053197f4d46eefedf4e6175bc9412f14412ec4ea2f"},
+ {file = "pillow-10.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:154e939c5f0053a383de4fd3d3da48d9427a7e985f58af8e94d0b3c9fcfcf4f9"},
+ {file = "pillow-10.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:f379abd2f1e3dddb2b61bc67977a6b5a0a3f7485538bcc6f39ec76163891ee48"},
+ {file = "pillow-10.2.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8373c6c251f7ef8bda6675dd6d2b3a0fcc31edf1201266b5cf608b62a37407f9"},
+ {file = "pillow-10.2.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:870ea1ada0899fd0b79643990809323b389d4d1d46c192f97342eeb6ee0b8483"},
+ {file = "pillow-10.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4b6b1e20608493548b1f32bce8cca185bf0480983890403d3b8753e44077129"},
+ {file = "pillow-10.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3031709084b6e7852d00479fd1d310b07d0ba82765f973b543c8af5061cf990e"},
+ {file = "pillow-10.2.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:3ff074fc97dd4e80543a3e91f69d58889baf2002b6be64347ea8cf5533188213"},
+ {file = "pillow-10.2.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:cb4c38abeef13c61d6916f264d4845fab99d7b711be96c326b84df9e3e0ff62d"},
+ {file = "pillow-10.2.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b1b3020d90c2d8e1dae29cf3ce54f8094f7938460fb5ce8bc5c01450b01fbaf6"},
+ {file = "pillow-10.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:170aeb00224ab3dc54230c797f8404507240dd868cf52066f66a41b33169bdbe"},
+ {file = "pillow-10.2.0-cp38-cp38-win32.whl", hash = "sha256:c4225f5220f46b2fde568c74fca27ae9771536c2e29d7c04f4fb62c83275ac4e"},
+ {file = "pillow-10.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:0689b5a8c5288bc0504d9fcee48f61a6a586b9b98514d7d29b840143d6734f39"},
+ {file = "pillow-10.2.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:b792a349405fbc0163190fde0dc7b3fef3c9268292586cf5645598b48e63dc67"},
+ {file = "pillow-10.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c570f24be1e468e3f0ce7ef56a89a60f0e05b30a3669a459e419c6eac2c35364"},
+ {file = "pillow-10.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8ecd059fdaf60c1963c58ceb8997b32e9dc1b911f5da5307aab614f1ce5c2fb"},
+ {file = "pillow-10.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c365fd1703040de1ec284b176d6af5abe21b427cb3a5ff68e0759e1e313a5e7e"},
+ {file = "pillow-10.2.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:70c61d4c475835a19b3a5aa42492409878bbca7438554a1f89d20d58a7c75c01"},
+ {file = "pillow-10.2.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b6f491cdf80ae540738859d9766783e3b3c8e5bd37f5dfa0b76abdecc5081f13"},
+ {file = "pillow-10.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d189550615b4948f45252d7f005e53c2040cea1af5b60d6f79491a6e147eef7"},
+ {file = "pillow-10.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:49d9ba1ed0ef3e061088cd1e7538a0759aab559e2e0a80a36f9fd9d8c0c21591"},
+ {file = "pillow-10.2.0-cp39-cp39-win32.whl", hash = "sha256:babf5acfede515f176833ed6028754cbcd0d206f7f614ea3447d67c33be12516"},
+ {file = "pillow-10.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:0304004f8067386b477d20a518b50f3fa658a28d44e4116970abfcd94fac34a8"},
+ {file = "pillow-10.2.0-cp39-cp39-win_arm64.whl", hash = "sha256:0fb3e7fc88a14eacd303e90481ad983fd5b69c761e9e6ef94c983f91025da869"},
+ {file = "pillow-10.2.0-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:322209c642aabdd6207517e9739c704dc9f9db943015535783239022002f054a"},
+ {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eedd52442c0a5ff4f887fab0c1c0bb164d8635b32c894bc1faf4c618dd89df2"},
+ {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb28c753fd5eb3dd859b4ee95de66cc62af91bcff5db5f2571d32a520baf1f04"},
+ {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:33870dc4653c5017bf4c8873e5488d8f8d5f8935e2f1fb9a2208c47cdd66efd2"},
+ {file = "pillow-10.2.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3c31822339516fb3c82d03f30e22b1d038da87ef27b6a78c9549888f8ceda39a"},
+ {file = "pillow-10.2.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a2b56ba36e05f973d450582fb015594aaa78834fefe8dfb8fcd79b93e64ba4c6"},
+ {file = "pillow-10.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:d8e6aeb9201e655354b3ad049cb77d19813ad4ece0df1249d3c793de3774f8c7"},
+ {file = "pillow-10.2.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:2247178effb34a77c11c0e8ac355c7a741ceca0a732b27bf11e747bbc950722f"},
+ {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15587643b9e5eb26c48e49a7b33659790d28f190fc514a322d55da2fb5c2950e"},
+ {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753cd8f2086b2b80180d9b3010dd4ed147efc167c90d3bf593fe2af21265e5a5"},
+ {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:7c8f97e8e7a9009bcacbe3766a36175056c12f9a44e6e6f2d5caad06dcfbf03b"},
+ {file = "pillow-10.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d1b35bcd6c5543b9cb547dee3150c93008f8dd0f1fef78fc0cd2b141c5baf58a"},
+ {file = "pillow-10.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fe4c15f6c9285dc54ce6553a3ce908ed37c8f3825b5a51a15c91442bb955b868"},
+ {file = "pillow-10.2.0.tar.gz", hash = "sha256:e87f0b2c78157e12d7686b27d63c070fd65d994e8ddae6f328e0dcf4a0cd007e"},
+]
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
+[[package]]
+name = "pkgutil-resolve-name"
+version = "1.3.10"
+description = "Resolve a name to an object."
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
+ {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
+]
+
+[[package]]
+name = "platformdirs"
+version = "4.2.0"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
+ {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
+]
+
+[package.extras]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+
+[[package]]
+name = "pluggy"
+version = "1.4.0"
+description = "plugin and hook calling mechanisms for python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
+ {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
+]
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
+
+[[package]]
+name = "pre-commit"
+version = "3.2.0"
+description = "A framework for managing and maintaining multi-language pre-commit hooks."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pre_commit-3.2.0-py2.py3-none-any.whl", hash = "sha256:f712d3688102e13c8e66b7d7dbd8934a6dda157e58635d89f7d6fecdca39ce8a"},
+ {file = "pre_commit-3.2.0.tar.gz", hash = "sha256:818f0d998059934d0f81bb3667e3ccdc32da6ed7ccaac33e43dc231561ddaaa9"},
+]
+
+[package.dependencies]
+cfgv = ">=2.0.0"
+identify = ">=1.0.0"
+nodeenv = ">=0.11.1"
+pyyaml = ">=5.1"
+virtualenv = ">=20.10.0"
+
+[[package]]
+name = "prometheus-client"
+version = "0.19.0"
+description = "Python client for the Prometheus monitoring system."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "prometheus_client-0.19.0-py3-none-any.whl", hash = "sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92"},
+ {file = "prometheus_client-0.19.0.tar.gz", hash = "sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1"},
+]
+
+[package.extras]
+twisted = ["twisted"]
+
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.43"
+description = "Library for building powerful interactive command lines in Python"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+ {file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
+ {file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
+]
+
+[package.dependencies]
+wcwidth = "*"
+
+[[package]]
+name = "psutil"
+version = "5.9.8"
+description = "Cross-platform lib for process and system monitoring in Python."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
+ {file = "psutil-5.9.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:26bd09967ae00920df88e0352a91cff1a78f8d69b3ecabbfe733610c0af486c8"},
+ {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:05806de88103b25903dff19bb6692bd2e714ccf9e668d050d144012055cbca73"},
+ {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:611052c4bc70432ec770d5d54f64206aa7203a101ec273a0cd82418c86503bb7"},
+ {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:50187900d73c1381ba1454cf40308c2bf6f34268518b3f36a9b663ca87e65e36"},
+ {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:02615ed8c5ea222323408ceba16c60e99c3f91639b07da6373fb7e6539abc56d"},
+ {file = "psutil-5.9.8-cp27-none-win32.whl", hash = "sha256:36f435891adb138ed3c9e58c6af3e2e6ca9ac2f365efe1f9cfef2794e6c93b4e"},
+ {file = "psutil-5.9.8-cp27-none-win_amd64.whl", hash = "sha256:bd1184ceb3f87651a67b2708d4c3338e9b10c5df903f2e3776b62303b26cb631"},
+ {file = "psutil-5.9.8-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:aee678c8720623dc456fa20659af736241f575d79429a0e5e9cf88ae0605cc81"},
+ {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8cb6403ce6d8e047495a701dc7c5bd788add903f8986d523e3e20b98b733e421"},
+ {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d06016f7f8625a1825ba3732081d77c94589dca78b7a3fc072194851e88461a4"},
+ {file = "psutil-5.9.8-cp36-cp36m-win32.whl", hash = "sha256:7d79560ad97af658a0f6adfef8b834b53f64746d45b403f225b85c5c2c140eee"},
+ {file = "psutil-5.9.8-cp36-cp36m-win_amd64.whl", hash = "sha256:27cc40c3493bb10de1be4b3f07cae4c010ce715290a5be22b98493509c6299e2"},
+ {file = "psutil-5.9.8-cp37-abi3-win32.whl", hash = "sha256:bc56c2a1b0d15aa3eaa5a60c9f3f8e3e565303b465dbf57a1b730e7a2b9844e0"},
+ {file = "psutil-5.9.8-cp37-abi3-win_amd64.whl", hash = "sha256:8db4c1b57507eef143a15a6884ca10f7c73876cdf5d51e713151c1236a0e68cf"},
+ {file = "psutil-5.9.8-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d16bbddf0693323b8c6123dd804100241da461e41d6e332fb0ba6058f630f8c8"},
+ {file = "psutil-5.9.8.tar.gz", hash = "sha256:6be126e3225486dff286a8fb9a06246a5253f4c7c53b475ea5f5ac934e64194c"},
+]
+
+[package.extras]
+test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+optional = false
+python-versions = "*"
+files = [
+ {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
+ {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
+]
+
+[[package]]
+name = "pure-eval"
+version = "0.2.2"
+description = "Safely evaluate AST nodes without side effects"
+optional = false
+python-versions = "*"
+files = [
+ {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
+ {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
+]
+
+[package.extras]
+tests = ["pytest"]
+
+[[package]]
+name = "pycparser"
+version = "2.21"
+description = "C parser in Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+ {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
+ {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
+]
+
+[[package]]
+name = "pydantic"
+version = "1.10.12"
+description = "Data validation and settings management using python type hints"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "pydantic-1.10.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a1fcb59f2f355ec350073af41d927bf83a63b50e640f4dbaa01053a28b7a7718"},
+ {file = "pydantic-1.10.12-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b7ccf02d7eb340b216ec33e53a3a629856afe1c6e0ef91d84a4e6f2fb2ca70fe"},
+ {file = "pydantic-1.10.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8fb2aa3ab3728d950bcc885a2e9eff6c8fc40bc0b7bb434e555c215491bcf48b"},
+ {file = "pydantic-1.10.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:771735dc43cf8383959dc9b90aa281f0b6092321ca98677c5fb6125a6f56d58d"},
+ {file = "pydantic-1.10.12-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ca48477862372ac3770969b9d75f1bf66131d386dba79506c46d75e6b48c1e09"},
+ {file = "pydantic-1.10.12-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a5e7add47a5b5a40c49b3036d464e3c7802f8ae0d1e66035ea16aa5b7a3923ed"},
+ {file = "pydantic-1.10.12-cp310-cp310-win_amd64.whl", hash = "sha256:e4129b528c6baa99a429f97ce733fff478ec955513630e61b49804b6cf9b224a"},
+ {file = "pydantic-1.10.12-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b0d191db0f92dfcb1dec210ca244fdae5cbe918c6050b342d619c09d31eea0cc"},
+ {file = "pydantic-1.10.12-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:795e34e6cc065f8f498c89b894a3c6da294a936ee71e644e4bd44de048af1405"},
+ {file = "pydantic-1.10.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69328e15cfda2c392da4e713443c7dbffa1505bc9d566e71e55abe14c97ddc62"},
+ {file = "pydantic-1.10.12-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2031de0967c279df0d8a1c72b4ffc411ecd06bac607a212892757db7462fc494"},
+ {file = "pydantic-1.10.12-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ba5b2e6fe6ca2b7e013398bc7d7b170e21cce322d266ffcd57cca313e54fb246"},
+ {file = "pydantic-1.10.12-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2a7bac939fa326db1ab741c9d7f44c565a1d1e80908b3797f7f81a4f86bc8d33"},
+ {file = "pydantic-1.10.12-cp311-cp311-win_amd64.whl", hash = "sha256:87afda5539d5140cb8ba9e8b8c8865cb5b1463924d38490d73d3ccfd80896b3f"},
+ {file = "pydantic-1.10.12-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:549a8e3d81df0a85226963611950b12d2d334f214436a19537b2efed61b7639a"},
+ {file = "pydantic-1.10.12-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:598da88dfa127b666852bef6d0d796573a8cf5009ffd62104094a4fe39599565"},
+ {file = "pydantic-1.10.12-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba5c4a8552bff16c61882db58544116d021d0b31ee7c66958d14cf386a5b5350"},
+ {file = "pydantic-1.10.12-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c79e6a11a07da7374f46970410b41d5e266f7f38f6a17a9c4823db80dadf4303"},
+ {file = "pydantic-1.10.12-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ab26038b8375581dc832a63c948f261ae0aa21f1d34c1293469f135fa92972a5"},
+ {file = "pydantic-1.10.12-cp37-cp37m-win_amd64.whl", hash = "sha256:e0a16d274b588767602b7646fa05af2782576a6cf1022f4ba74cbb4db66f6ca8"},
+ {file = "pydantic-1.10.12-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6a9dfa722316f4acf4460afdf5d41d5246a80e249c7ff475c43a3a1e9d75cf62"},
+ {file = "pydantic-1.10.12-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a73f489aebd0c2121ed974054cb2759af8a9f747de120acd2c3394cf84176ccb"},
+ {file = "pydantic-1.10.12-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b30bcb8cbfccfcf02acb8f1a261143fab622831d9c0989707e0e659f77a18e0"},
+ {file = "pydantic-1.10.12-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2fcfb5296d7877af406ba1547dfde9943b1256d8928732267e2653c26938cd9c"},
+ {file = "pydantic-1.10.12-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:2f9a6fab5f82ada41d56b0602606a5506aab165ca54e52bc4545028382ef1c5d"},
+ {file = "pydantic-1.10.12-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:dea7adcc33d5d105896401a1f37d56b47d443a2b2605ff8a969a0ed5543f7e33"},
+ {file = "pydantic-1.10.12-cp38-cp38-win_amd64.whl", hash = "sha256:1eb2085c13bce1612da8537b2d90f549c8cbb05c67e8f22854e201bde5d98a47"},
+ {file = "pydantic-1.10.12-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ef6c96b2baa2100ec91a4b428f80d8f28a3c9e53568219b6c298c1125572ebc6"},
+ {file = "pydantic-1.10.12-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6c076be61cd0177a8433c0adcb03475baf4ee91edf5a4e550161ad57fc90f523"},
+ {file = "pydantic-1.10.12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d5a58feb9a39f481eda4d5ca220aa8b9d4f21a41274760b9bc66bfd72595b86"},
+ {file = "pydantic-1.10.12-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5f805d2d5d0a41633651a73fa4ecdd0b3d7a49de4ec3fadf062fe16501ddbf1"},
+ {file = "pydantic-1.10.12-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:1289c180abd4bd4555bb927c42ee42abc3aee02b0fb2d1223fb7c6e5bef87dbe"},
+ {file = "pydantic-1.10.12-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5d1197e462e0364906cbc19681605cb7c036f2475c899b6f296104ad42b9f5fb"},
+ {file = "pydantic-1.10.12-cp39-cp39-win_amd64.whl", hash = "sha256:fdbdd1d630195689f325c9ef1a12900524dceb503b00a987663ff4f58669b93d"},
+ {file = "pydantic-1.10.12-py3-none-any.whl", hash = "sha256:b749a43aa51e32839c9d71dc67eb1e4221bb04af1033a32e3923d46f9effa942"},
+ {file = "pydantic-1.10.12.tar.gz", hash = "sha256:0fe8a415cea8f340e7a9af9c54fc71a649b43e8ca3cc732986116b3cb135d303"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.2.0"
+
+[package.extras]
+dotenv = ["python-dotenv (>=0.10.4)"]
+email = ["email-validator (>=1.0.3)"]
+
+[[package]]
+name = "pygments"
+version = "2.17.2"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
+ {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
+]
+
+[package.extras]
+plugins = ["importlib-metadata"]
+windows-terminal = ["colorama (>=0.4.6)"]
+
+[[package]]
+name = "pylint"
+version = "2.15.10"
+description = "python code static checker"
+optional = false
+python-versions = ">=3.7.2"
+files = [
+ {file = "pylint-2.15.10-py3-none-any.whl", hash = "sha256:9df0d07e8948a1c3ffa3b6e2d7e6e63d9fb457c5da5b961ed63106594780cc7e"},
+ {file = "pylint-2.15.10.tar.gz", hash = "sha256:b3dc5ef7d33858f297ac0d06cc73862f01e4f2e74025ec3eff347ce0bc60baf5"},
+]
+
+[package.dependencies]
+astroid = ">=2.12.13,<=2.14.0-dev0"
+colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
+dill = [
+ {version = ">=0.2", markers = "python_version < \"3.11\""},
+ {version = ">=0.3.6", markers = "python_version >= \"3.11\""},
+]
+isort = ">=4.2.5,<6"
+mccabe = ">=0.6,<0.8"
+platformdirs = ">=2.2.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+tomlkit = ">=0.10.1"
+typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+spelling = ["pyenchant (>=3.2,<4.0)"]
+testutils = ["gitpython (>3)"]
+
+[[package]]
+name = "pytest"
+version = "7.2.1"
+description = "pytest: simple powerful testing with Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "pytest-7.2.1-py3-none-any.whl", hash = "sha256:c7c6ca206e93355074ae32f7403e8ea12163b1163c976fee7d4d84027c162be5"},
+ {file = "pytest-7.2.1.tar.gz", hash = "sha256:d45e0952f3727241918b8fd0f376f5ff6b301cc0777c6f9a556935c92d8a7d42"},
+]
+
+[package.dependencies]
+attrs = ">=19.2.0"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
+
+[[package]]
+name = "pytest-mock"
+version = "3.11.1"
+description = "Thin-wrapper around the mock package for easier use with pytest"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "pytest-mock-3.11.1.tar.gz", hash = "sha256:7f6b125602ac6d743e523ae0bfa71e1a697a2f5534064528c6ff84c2f7c2fc7f"},
+ {file = "pytest_mock-3.11.1-py3-none-any.whl", hash = "sha256:21c279fff83d70763b05f8874cc9cfb3fcacd6d354247a976f9529d19f9acf39"},
+]
+
+[package.dependencies]
+pytest = ">=5.0"
+
+[package.extras]
+dev = ["pre-commit", "pytest-asyncio", "tox"]
+
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+ {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+ {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
+[[package]]
+name = "python-json-logger"
+version = "2.0.7"
+description = "A python library adding a json log formatter"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"},
+ {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
+]
+
+[[package]]
+name = "pytz"
+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = false
+python-versions = "*"
+files = [
+ {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+ {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
+]
+
+[[package]]
+name = "pywin32"
+version = "306"
+description = "Python for Window Extensions"
+optional = false
+python-versions = "*"
+files = [
+ {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"},
+ {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"},
+ {file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"},
+ {file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"},
+ {file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"},
+ {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"},
+ {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"},
+ {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"},
+ {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"},
+ {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"},
+ {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"},
+ {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"},
+ {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"},
+ {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"},
+]
+
+[[package]]
+name = "pywinpty"
+version = "2.0.12"
+description = "Pseudo terminal support for Windows from Python."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pywinpty-2.0.12-cp310-none-win_amd64.whl", hash = "sha256:21319cd1d7c8844fb2c970fb3a55a3db5543f112ff9cfcd623746b9c47501575"},
+ {file = "pywinpty-2.0.12-cp311-none-win_amd64.whl", hash = "sha256:853985a8f48f4731a716653170cd735da36ffbdc79dcb4c7b7140bce11d8c722"},
+ {file = "pywinpty-2.0.12-cp312-none-win_amd64.whl", hash = "sha256:1617b729999eb6713590e17665052b1a6ae0ad76ee31e60b444147c5b6a35dca"},
+ {file = "pywinpty-2.0.12-cp38-none-win_amd64.whl", hash = "sha256:189380469ca143d06e19e19ff3fba0fcefe8b4a8cc942140a6b863aed7eebb2d"},
+ {file = "pywinpty-2.0.12-cp39-none-win_amd64.whl", hash = "sha256:7520575b6546db23e693cbd865db2764097bd6d4ef5dc18c92555904cd62c3d4"},
+ {file = "pywinpty-2.0.12.tar.gz", hash = "sha256:8197de460ae8ebb7f5d1701dfa1b5df45b157bb832e92acba316305e18ca00dd"},
+]
+
+[[package]]
+name = "pyyaml"
+version = "6.0.1"
+description = "YAML parser and emitter for Python"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
+ {file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
+ {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
+ {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
+ {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
+ {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
+ {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
+ {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
+ {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
+ {file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"},
+ {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
+ {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
+ {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
+ {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
+ {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
+ {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
+ {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
+ {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
+ {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
+ {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
+ {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
+ {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
+ {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
+ {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
+ {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
+ {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd"},
+ {file = "PyYAML-6.0.1-cp36-cp36m-win32.whl", hash = "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585"},
+ {file = "PyYAML-6.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa"},
+ {file = "PyYAML-6.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3"},
+ {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27"},
+ {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3"},
+ {file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c"},
+ {file = "PyYAML-6.0.1-cp37-cp37m-win32.whl", hash = "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba"},
+ {file = "PyYAML-6.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867"},
+ {file = "PyYAML-6.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595"},
+ {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
+ {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
+ {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
+ {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
+ {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
+ {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
+ {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
+ {file = "PyYAML-6.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859"},
+ {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
+ {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
+ {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
+ {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
+ {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
+ {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
+ {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
+]
+
+[[package]]
+name = "pyzmq"
+version = "25.1.2"
+description = "Python bindings for 0MQ"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "pyzmq-25.1.2-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:e624c789359f1a16f83f35e2c705d07663ff2b4d4479bad35621178d8f0f6ea4"},
+ {file = "pyzmq-25.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:49151b0efece79f6a79d41a461d78535356136ee70084a1c22532fc6383f4ad0"},
+ {file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9a5f194cf730f2b24d6af1f833c14c10f41023da46a7f736f48b6d35061e76e"},
+ {file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:faf79a302f834d9e8304fafdc11d0d042266667ac45209afa57e5efc998e3872"},
+ {file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f51a7b4ead28d3fca8dda53216314a553b0f7a91ee8fc46a72b402a78c3e43d"},
+ {file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:0ddd6d71d4ef17ba5a87becf7ddf01b371eaba553c603477679ae817a8d84d75"},
+ {file = "pyzmq-25.1.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:246747b88917e4867e2367b005fc8eefbb4a54b7db363d6c92f89d69abfff4b6"},
+ {file = "pyzmq-25.1.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:00c48ae2fd81e2a50c3485de1b9d5c7c57cd85dc8ec55683eac16846e57ac979"},
+ {file = "pyzmq-25.1.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5a68d491fc20762b630e5db2191dd07ff89834086740f70e978bb2ef2668be08"},
+ {file = "pyzmq-25.1.2-cp310-cp310-win32.whl", hash = "sha256:09dfe949e83087da88c4a76767df04b22304a682d6154de2c572625c62ad6886"},
+ {file = "pyzmq-25.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:fa99973d2ed20417744fca0073390ad65ce225b546febb0580358e36aa90dba6"},
+ {file = "pyzmq-25.1.2-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:82544e0e2d0c1811482d37eef297020a040c32e0687c1f6fc23a75b75db8062c"},
+ {file = "pyzmq-25.1.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:01171fc48542348cd1a360a4b6c3e7d8f46cdcf53a8d40f84db6707a6768acc1"},
+ {file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc69c96735ab501419c432110016329bf0dea8898ce16fab97c6d9106dc0b348"},
+ {file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3e124e6b1dd3dfbeb695435dff0e383256655bb18082e094a8dd1f6293114642"},
+ {file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7598d2ba821caa37a0f9d54c25164a4fa351ce019d64d0b44b45540950458840"},
+ {file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:d1299d7e964c13607efd148ca1f07dcbf27c3ab9e125d1d0ae1d580a1682399d"},
+ {file = "pyzmq-25.1.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4e6f689880d5ad87918430957297c975203a082d9a036cc426648fcbedae769b"},
+ {file = "pyzmq-25.1.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cc69949484171cc961e6ecd4a8911b9ce7a0d1f738fcae717177c231bf77437b"},
+ {file = "pyzmq-25.1.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9880078f683466b7f567b8624bfc16cad65077be046b6e8abb53bed4eeb82dd3"},
+ {file = "pyzmq-25.1.2-cp311-cp311-win32.whl", hash = "sha256:4e5837af3e5aaa99a091302df5ee001149baff06ad22b722d34e30df5f0d9097"},
+ {file = "pyzmq-25.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:25c2dbb97d38b5ac9fd15586e048ec5eb1e38f3d47fe7d92167b0c77bb3584e9"},
+ {file = "pyzmq-25.1.2-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:11e70516688190e9c2db14fcf93c04192b02d457b582a1f6190b154691b4c93a"},
+ {file = "pyzmq-25.1.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:313c3794d650d1fccaaab2df942af9f2c01d6217c846177cfcbc693c7410839e"},
+ {file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b3cbba2f47062b85fe0ef9de5b987612140a9ba3a9c6d2543c6dec9f7c2ab27"},
+ {file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fc31baa0c32a2ca660784d5af3b9487e13b61b3032cb01a115fce6588e1bed30"},
+ {file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02c9087b109070c5ab0b383079fa1b5f797f8d43e9a66c07a4b8b8bdecfd88ee"},
+ {file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:f8429b17cbb746c3e043cb986328da023657e79d5ed258b711c06a70c2ea7537"},
+ {file = "pyzmq-25.1.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:5074adeacede5f810b7ef39607ee59d94e948b4fd954495bdb072f8c54558181"},
+ {file = "pyzmq-25.1.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:7ae8f354b895cbd85212da245f1a5ad8159e7840e37d78b476bb4f4c3f32a9fe"},
+ {file = "pyzmq-25.1.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b264bf2cc96b5bc43ce0e852be995e400376bd87ceb363822e2cb1964fcdc737"},
+ {file = "pyzmq-25.1.2-cp312-cp312-win32.whl", hash = "sha256:02bbc1a87b76e04fd780b45e7f695471ae6de747769e540da909173d50ff8e2d"},
+ {file = "pyzmq-25.1.2-cp312-cp312-win_amd64.whl", hash = "sha256:ced111c2e81506abd1dc142e6cd7b68dd53747b3b7ae5edbea4578c5eeff96b7"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:7b6d09a8962a91151f0976008eb7b29b433a560fde056ec7a3db9ec8f1075438"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:967668420f36878a3c9ecb5ab33c9d0ff8d054f9c0233d995a6d25b0e95e1b6b"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5edac3f57c7ddaacdb4d40f6ef2f9e299471fc38d112f4bc6d60ab9365445fb0"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:0dabfb10ef897f3b7e101cacba1437bd3a5032ee667b7ead32bbcdd1a8422fe7"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:2c6441e0398c2baacfe5ba30c937d274cfc2dc5b55e82e3749e333aabffde561"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:16b726c1f6c2e7625706549f9dbe9b06004dfbec30dbed4bf50cbdfc73e5b32a"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:a86c2dd76ef71a773e70551a07318b8e52379f58dafa7ae1e0a4be78efd1ff16"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-win32.whl", hash = "sha256:359f7f74b5d3c65dae137f33eb2bcfa7ad9ebefd1cab85c935f063f1dbb245cc"},
+ {file = "pyzmq-25.1.2-cp36-cp36m-win_amd64.whl", hash = "sha256:55875492f820d0eb3417b51d96fea549cde77893ae3790fd25491c5754ea2f68"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b8c8a419dfb02e91b453615c69568442e897aaf77561ee0064d789705ff37a92"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8807c87fa893527ae8a524c15fc505d9950d5e856f03dae5921b5e9aa3b8783b"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5e319ed7d6b8f5fad9b76daa0a68497bc6f129858ad956331a5835785761e003"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:3c53687dde4d9d473c587ae80cc328e5b102b517447456184b485587ebd18b62"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:9add2e5b33d2cd765ad96d5eb734a5e795a0755f7fc49aa04f76d7ddda73fd70"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:e690145a8c0c273c28d3b89d6fb32c45e0d9605b2293c10e650265bf5c11cfec"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:00a06faa7165634f0cac1abb27e54d7a0b3b44eb9994530b8ec73cf52e15353b"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-win32.whl", hash = "sha256:0f97bc2f1f13cb16905a5f3e1fbdf100e712d841482b2237484360f8bc4cb3d7"},
+ {file = "pyzmq-25.1.2-cp37-cp37m-win_amd64.whl", hash = "sha256:6cc0020b74b2e410287e5942e1e10886ff81ac77789eb20bec13f7ae681f0fdd"},
+ {file = "pyzmq-25.1.2-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:bef02cfcbded83473bdd86dd8d3729cd82b2e569b75844fb4ea08fee3c26ae41"},
+ {file = "pyzmq-25.1.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e10a4b5a4b1192d74853cc71a5e9fd022594573926c2a3a4802020360aa719d8"},
+ {file = "pyzmq-25.1.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8c5f80e578427d4695adac6fdf4370c14a2feafdc8cb35549c219b90652536ae"},
+ {file = "pyzmq-25.1.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5dde6751e857910c1339890f3524de74007958557593b9e7e8c5f01cd919f8a7"},
+ {file = "pyzmq-25.1.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea1608dd169da230a0ad602d5b1ebd39807ac96cae1845c3ceed39af08a5c6df"},
+ {file = "pyzmq-25.1.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0f513130c4c361201da9bc69df25a086487250e16b5571ead521b31ff6b02220"},
+ {file = "pyzmq-25.1.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:019744b99da30330798bb37df33549d59d380c78e516e3bab9c9b84f87a9592f"},
+ {file = "pyzmq-25.1.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2e2713ef44be5d52dd8b8e2023d706bf66cb22072e97fc71b168e01d25192755"},
+ {file = "pyzmq-25.1.2-cp38-cp38-win32.whl", hash = "sha256:07cd61a20a535524906595e09344505a9bd46f1da7a07e504b315d41cd42eb07"},
+ {file = "pyzmq-25.1.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb7e49a17fb8c77d3119d41a4523e432eb0c6932187c37deb6fbb00cc3028088"},
+ {file = "pyzmq-25.1.2-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:94504ff66f278ab4b7e03e4cba7e7e400cb73bfa9d3d71f58d8972a8dc67e7a6"},
+ {file = "pyzmq-25.1.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6dd0d50bbf9dca1d0bdea219ae6b40f713a3fb477c06ca3714f208fd69e16fd8"},
+ {file = "pyzmq-25.1.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:004ff469d21e86f0ef0369717351073e0e577428e514c47c8480770d5e24a565"},
+ {file = "pyzmq-25.1.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c0b5ca88a8928147b7b1e2dfa09f3b6c256bc1135a1338536cbc9ea13d3b7add"},
+ {file = "pyzmq-25.1.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c9a79f1d2495b167119d02be7448bfba57fad2a4207c4f68abc0bab4b92925b"},
+ {file = "pyzmq-25.1.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:518efd91c3d8ac9f9b4f7dd0e2b7b8bf1a4fe82a308009016b07eaa48681af82"},
+ {file = "pyzmq-25.1.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:1ec23bd7b3a893ae676d0e54ad47d18064e6c5ae1fadc2f195143fb27373f7f6"},
+ {file = "pyzmq-25.1.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db36c27baed588a5a8346b971477b718fdc66cf5b80cbfbd914b4d6d355e44e2"},
+ {file = "pyzmq-25.1.2-cp39-cp39-win32.whl", hash = "sha256:39b1067f13aba39d794a24761e385e2eddc26295826530a8c7b6c6c341584289"},
+ {file = "pyzmq-25.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:8e9f3fabc445d0ce320ea2c59a75fe3ea591fdbdeebec5db6de530dd4b09412e"},
+ {file = "pyzmq-25.1.2-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a8c1d566344aee826b74e472e16edae0a02e2a044f14f7c24e123002dcff1c05"},
+ {file = "pyzmq-25.1.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:759cfd391a0996345ba94b6a5110fca9c557ad4166d86a6e81ea526c376a01e8"},
+ {file = "pyzmq-25.1.2-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c61e346ac34b74028ede1c6b4bcecf649d69b707b3ff9dc0fab453821b04d1e"},
+ {file = "pyzmq-25.1.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4cb8fc1f8d69b411b8ec0b5f1ffbcaf14c1db95b6bccea21d83610987435f1a4"},
+ {file = "pyzmq-25.1.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:3c00c9b7d1ca8165c610437ca0c92e7b5607b2f9076f4eb4b095c85d6e680a1d"},
+ {file = "pyzmq-25.1.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:df0c7a16ebb94452d2909b9a7b3337940e9a87a824c4fc1c7c36bb4404cb0cde"},
+ {file = "pyzmq-25.1.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:45999e7f7ed5c390f2e87ece7f6c56bf979fb213550229e711e45ecc7d42ccb8"},
+ {file = "pyzmq-25.1.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ac170e9e048b40c605358667aca3d94e98f604a18c44bdb4c102e67070f3ac9b"},
+ {file = "pyzmq-25.1.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1b604734bec94f05f81b360a272fc824334267426ae9905ff32dc2be433ab96"},
+ {file = "pyzmq-25.1.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:a793ac733e3d895d96f865f1806f160696422554e46d30105807fdc9841b9f7d"},
+ {file = "pyzmq-25.1.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0806175f2ae5ad4b835ecd87f5f85583316b69f17e97786f7443baaf54b9bb98"},
+ {file = "pyzmq-25.1.2-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ef12e259e7bc317c7597d4f6ef59b97b913e162d83b421dd0db3d6410f17a244"},
+ {file = "pyzmq-25.1.2-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ea253b368eb41116011add00f8d5726762320b1bda892f744c91997b65754d73"},
+ {file = "pyzmq-25.1.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b9b1f2ad6498445a941d9a4fee096d387fee436e45cc660e72e768d3d8ee611"},
+ {file = "pyzmq-25.1.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:8b14c75979ce932c53b79976a395cb2a8cd3aaf14aef75e8c2cb55a330b9b49d"},
+ {file = "pyzmq-25.1.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:889370d5174a741a62566c003ee8ddba4b04c3f09a97b8000092b7ca83ec9c49"},
+ {file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a18fff090441a40ffda8a7f4f18f03dc56ae73f148f1832e109f9bffa85df15"},
+ {file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99a6b36f95c98839ad98f8c553d8507644c880cf1e0a57fe5e3a3f3969040882"},
+ {file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4345c9a27f4310afbb9c01750e9461ff33d6fb74cd2456b107525bbeebcb5be3"},
+ {file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3516e0b6224cf6e43e341d56da15fd33bdc37fa0c06af4f029f7d7dfceceabbc"},
+ {file = "pyzmq-25.1.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:146b9b1f29ead41255387fb07be56dc29639262c0f7344f570eecdcd8d683314"},
+ {file = "pyzmq-25.1.2.tar.gz", hash = "sha256:93f1aa311e8bb912e34f004cf186407a4e90eec4f0ecc0efd26056bf7eda0226"},
+]
+
+[package.dependencies]
+cffi = {version = "*", markers = "implementation_name == \"pypy\""}
+
+[[package]]
+name = "qtconsole"
+version = "5.5.1"
+description = "Jupyter Qt console"
+optional = false
+python-versions = ">= 3.8"
+files = [
+ {file = "qtconsole-5.5.1-py3-none-any.whl", hash = "sha256:8c75fa3e9b4ed884880ff7cea90a1b67451219279ec33deaee1d59e3df1a5d2b"},
+ {file = "qtconsole-5.5.1.tar.gz", hash = "sha256:a0e806c6951db9490628e4df80caec9669b65149c7ba40f9bf033c025a5b56bc"},
+]
+
+[package.dependencies]
+ipykernel = ">=4.1"
+jupyter-client = ">=4.1"
+jupyter-core = "*"
+packaging = "*"
+pygments = "*"
+pyzmq = ">=17.1"
+qtpy = ">=2.4.0"
+traitlets = "<5.2.1 || >5.2.1,<5.2.2 || >5.2.2"
+
+[package.extras]
+doc = ["Sphinx (>=1.3)"]
+test = ["flaky", "pytest", "pytest-qt"]
+
+[[package]]
+name = "qtpy"
+version = "2.4.1"
+description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "QtPy-2.4.1-py3-none-any.whl", hash = "sha256:1c1d8c4fa2c884ae742b069151b0abe15b3f70491f3972698c683b8e38de839b"},
+ {file = "QtPy-2.4.1.tar.gz", hash = "sha256:a5a15ffd519550a1361bdc56ffc07fda56a6af7292f17c7b395d4083af632987"},
+]
+
+[package.dependencies]
+packaging = "*"
+
+[package.extras]
+test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
+
+[[package]]
+name = "referencing"
+version = "0.33.0"
+description = "JSON Referencing + Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "referencing-0.33.0-py3-none-any.whl", hash = "sha256:39240f2ecc770258f28b642dd47fd74bc8b02484de54e1882b74b35ebd779bd5"},
+ {file = "referencing-0.33.0.tar.gz", hash = "sha256:c775fedf74bc0f9189c2a3be1c12fd03e8c23f4d371dce795df44e06c5b412f7"},
+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+rpds-py = ">=0.7.0"
+
+[[package]]
+name = "regex"
+version = "2023.12.25"
+description = "Alternative regular expression module, to replace re."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "regex-2023.12.25-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0694219a1d54336fd0445ea382d49d36882415c0134ee1e8332afd1529f0baa5"},
+ {file = "regex-2023.12.25-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b014333bd0217ad3d54c143de9d4b9a3ca1c5a29a6d0d554952ea071cff0f1f8"},
+ {file = "regex-2023.12.25-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d865984b3f71f6d0af64d0d88f5733521698f6c16f445bb09ce746c92c97c586"},
+ {file = "regex-2023.12.25-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e0eabac536b4cc7f57a5f3d095bfa557860ab912f25965e08fe1545e2ed8b4c"},
+ {file = "regex-2023.12.25-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c25a8ad70e716f96e13a637802813f65d8a6760ef48672aa3502f4c24ea8b400"},
+ {file = "regex-2023.12.25-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9b6d73353f777630626f403b0652055ebfe8ff142a44ec2cf18ae470395766e"},
+ {file = "regex-2023.12.25-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9cc99d6946d750eb75827cb53c4371b8b0fe89c733a94b1573c9dd16ea6c9e4"},
+ {file = "regex-2023.12.25-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:88d1f7bef20c721359d8675f7d9f8e414ec5003d8f642fdfd8087777ff7f94b5"},
+ {file = "regex-2023.12.25-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cb3fe77aec8f1995611f966d0c656fdce398317f850d0e6e7aebdfe61f40e1cd"},
+ {file = "regex-2023.12.25-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7aa47c2e9ea33a4a2a05f40fcd3ea36d73853a2aae7b4feab6fc85f8bf2c9704"},
+ {file = "regex-2023.12.25-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:df26481f0c7a3f8739fecb3e81bc9da3fcfae34d6c094563b9d4670b047312e1"},
+ {file = "regex-2023.12.25-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:c40281f7d70baf6e0db0c2f7472b31609f5bc2748fe7275ea65a0b4601d9b392"},
+ {file = "regex-2023.12.25-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:d94a1db462d5690ebf6ae86d11c5e420042b9898af5dcf278bd97d6bda065423"},
+ {file = "regex-2023.12.25-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ba1b30765a55acf15dce3f364e4928b80858fa8f979ad41f862358939bdd1f2f"},
+ {file = "regex-2023.12.25-cp310-cp310-win32.whl", hash = "sha256:150c39f5b964e4d7dba46a7962a088fbc91f06e606f023ce57bb347a3b2d4630"},
+ {file = "regex-2023.12.25-cp310-cp310-win_amd64.whl", hash = "sha256:09da66917262d9481c719599116c7dc0c321ffcec4b1f510c4f8a066f8768105"},
+ {file = "regex-2023.12.25-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:1b9d811f72210fa9306aeb88385b8f8bcef0dfbf3873410413c00aa94c56c2b6"},
+ {file = "regex-2023.12.25-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d902a43085a308cef32c0d3aea962524b725403fd9373dea18110904003bac97"},
+ {file = "regex-2023.12.25-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d166eafc19f4718df38887b2bbe1467a4f74a9830e8605089ea7a30dd4da8887"},
+ {file = "regex-2023.12.25-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7ad32824b7f02bb3c9f80306d405a1d9b7bb89362d68b3c5a9be53836caebdb"},
+ {file = "regex-2023.12.25-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:636ba0a77de609d6510235b7f0e77ec494d2657108f777e8765efc060094c98c"},
+ {file = "regex-2023.12.25-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0fda75704357805eb953a3ee15a2b240694a9a514548cd49b3c5124b4e2ad01b"},
+ {file = "regex-2023.12.25-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f72cbae7f6b01591f90814250e636065850c5926751af02bb48da94dfced7baa"},
+ {file = "regex-2023.12.25-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:db2a0b1857f18b11e3b0e54ddfefc96af46b0896fb678c85f63fb8c37518b3e7"},
+ {file = "regex-2023.12.25-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7502534e55c7c36c0978c91ba6f61703faf7ce733715ca48f499d3dbbd7657e0"},
+ {file = "regex-2023.12.25-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:e8c7e08bb566de4faaf11984af13f6bcf6a08f327b13631d41d62592681d24fe"},
+ {file = "regex-2023.12.25-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:283fc8eed679758de38fe493b7d7d84a198b558942b03f017b1f94dda8efae80"},
+ {file = "regex-2023.12.25-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:f44dd4d68697559d007462b0a3a1d9acd61d97072b71f6d1968daef26bc744bd"},
+ {file = "regex-2023.12.25-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:67d3ccfc590e5e7197750fcb3a2915b416a53e2de847a728cfa60141054123d4"},
+ {file = "regex-2023.12.25-cp311-cp311-win32.whl", hash = "sha256:68191f80a9bad283432385961d9efe09d783bcd36ed35a60fb1ff3f1ec2efe87"},
+ {file = "regex-2023.12.25-cp311-cp311-win_amd64.whl", hash = "sha256:7d2af3f6b8419661a0c421584cfe8aaec1c0e435ce7e47ee2a97e344b98f794f"},
+ {file = "regex-2023.12.25-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8a0ccf52bb37d1a700375a6b395bff5dd15c50acb745f7db30415bae3c2b0715"},
+ {file = "regex-2023.12.25-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c3c4a78615b7762740531c27cf46e2f388d8d727d0c0c739e72048beb26c8a9d"},
+ {file = "regex-2023.12.25-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ad83e7545b4ab69216cef4cc47e344d19622e28aabec61574b20257c65466d6a"},
+ {file = "regex-2023.12.25-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7a635871143661feccce3979e1727c4e094f2bdfd3ec4b90dfd4f16f571a87a"},
+ {file = "regex-2023.12.25-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d498eea3f581fbe1b34b59c697512a8baef88212f92e4c7830fcc1499f5b45a5"},
+ {file = "regex-2023.12.25-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:43f7cd5754d02a56ae4ebb91b33461dc67be8e3e0153f593c509e21d219c5060"},
+ {file = "regex-2023.12.25-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51f4b32f793812714fd5307222a7f77e739b9bc566dc94a18126aba3b92b98a3"},
+ {file = "regex-2023.12.25-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba99d8077424501b9616b43a2d208095746fb1284fc5ba490139651f971d39d9"},
+ {file = "regex-2023.12.25-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4bfc2b16e3ba8850e0e262467275dd4d62f0d045e0e9eda2bc65078c0110a11f"},
+ {file = "regex-2023.12.25-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8c2c19dae8a3eb0ea45a8448356ed561be843b13cbc34b840922ddf565498c1c"},
+ {file = "regex-2023.12.25-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:60080bb3d8617d96f0fb7e19796384cc2467447ef1c491694850ebd3670bc457"},
+ {file = "regex-2023.12.25-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b77e27b79448e34c2c51c09836033056a0547aa360c45eeeb67803da7b0eedaf"},
+ {file = "regex-2023.12.25-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:518440c991f514331f4850a63560321f833979d145d7d81186dbe2f19e27ae3d"},
+ {file = "regex-2023.12.25-cp312-cp312-win32.whl", hash = "sha256:e2610e9406d3b0073636a3a2e80db05a02f0c3169b5632022b4e81c0364bcda5"},
+ {file = "regex-2023.12.25-cp312-cp312-win_amd64.whl", hash = "sha256:cc37b9aeebab425f11f27e5e9e6cf580be7206c6582a64467a14dda211abc232"},
+ {file = "regex-2023.12.25-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:da695d75ac97cb1cd725adac136d25ca687da4536154cdc2815f576e4da11c69"},
+ {file = "regex-2023.12.25-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d126361607b33c4eb7b36debc173bf25d7805847346dd4d99b5499e1fef52bc7"},
+ {file = "regex-2023.12.25-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4719bb05094d7d8563a450cf8738d2e1061420f79cfcc1fa7f0a44744c4d8f73"},
+ {file = "regex-2023.12.25-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5dd58946bce44b53b06d94aa95560d0b243eb2fe64227cba50017a8d8b3cd3e2"},
+ {file = "regex-2023.12.25-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22a86d9fff2009302c440b9d799ef2fe322416d2d58fc124b926aa89365ec482"},
+ {file = "regex-2023.12.25-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2aae8101919e8aa05ecfe6322b278f41ce2994c4a430303c4cd163fef746e04f"},
+ {file = "regex-2023.12.25-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e692296c4cc2873967771345a876bcfc1c547e8dd695c6b89342488b0ea55cd8"},
+ {file = "regex-2023.12.25-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:263ef5cc10979837f243950637fffb06e8daed7f1ac1e39d5910fd29929e489a"},
+ {file = "regex-2023.12.25-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:d6f7e255e5fa94642a0724e35406e6cb7001c09d476ab5fce002f652b36d0c39"},
+ {file = "regex-2023.12.25-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:88ad44e220e22b63b0f8f81f007e8abbb92874d8ced66f32571ef8beb0643b2b"},
+ {file = "regex-2023.12.25-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:3a17d3ede18f9cedcbe23d2daa8a2cd6f59fe2bf082c567e43083bba3fb00347"},
+ {file = "regex-2023.12.25-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d15b274f9e15b1a0b7a45d2ac86d1f634d983ca40d6b886721626c47a400bf39"},
+ {file = "regex-2023.12.25-cp37-cp37m-win32.whl", hash = "sha256:ed19b3a05ae0c97dd8f75a5d8f21f7723a8c33bbc555da6bbe1f96c470139d3c"},
+ {file = "regex-2023.12.25-cp37-cp37m-win_amd64.whl", hash = "sha256:a6d1047952c0b8104a1d371f88f4ab62e6275567d4458c1e26e9627ad489b445"},
+ {file = "regex-2023.12.25-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:b43523d7bc2abd757119dbfb38af91b5735eea45537ec6ec3a5ec3f9562a1c53"},
+ {file = "regex-2023.12.25-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:efb2d82f33b2212898f1659fb1c2e9ac30493ac41e4d53123da374c3b5541e64"},
+ {file = "regex-2023.12.25-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b7fca9205b59c1a3d5031f7e64ed627a1074730a51c2a80e97653e3e9fa0d415"},
+ {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:086dd15e9435b393ae06f96ab69ab2d333f5d65cbe65ca5a3ef0ec9564dfe770"},
+ {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e81469f7d01efed9b53740aedd26085f20d49da65f9c1f41e822a33992cb1590"},
+ {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:34e4af5b27232f68042aa40a91c3b9bb4da0eeb31b7632e0091afc4310afe6cb"},
+ {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9852b76ab558e45b20bf1893b59af64a28bd3820b0c2efc80e0a70a4a3ea51c1"},
+ {file = "regex-2023.12.25-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff100b203092af77d1a5a7abe085b3506b7eaaf9abf65b73b7d6905b6cb76988"},
+ {file = "regex-2023.12.25-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cc038b2d8b1470364b1888a98fd22d616fba2b6309c5b5f181ad4483e0017861"},
+ {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:094ba386bb5c01e54e14434d4caabf6583334090865b23ef58e0424a6286d3dc"},
+ {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5cd05d0f57846d8ba4b71d9c00f6f37d6b97d5e5ef8b3c3840426a475c8f70f4"},
+ {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:9aa1a67bbf0f957bbe096375887b2505f5d8ae16bf04488e8b0f334c36e31360"},
+ {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:98a2636994f943b871786c9e82bfe7883ecdaba2ef5df54e1450fa9869d1f756"},
+ {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:37f8e93a81fc5e5bd8db7e10e62dc64261bcd88f8d7e6640aaebe9bc180d9ce2"},
+ {file = "regex-2023.12.25-cp38-cp38-win32.whl", hash = "sha256:d78bd484930c1da2b9679290a41cdb25cc127d783768a0369d6b449e72f88beb"},
+ {file = "regex-2023.12.25-cp38-cp38-win_amd64.whl", hash = "sha256:b521dcecebc5b978b447f0f69b5b7f3840eac454862270406a39837ffae4e697"},
+ {file = "regex-2023.12.25-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f7bc09bc9c29ebead055bcba136a67378f03d66bf359e87d0f7c759d6d4ffa31"},
+ {file = "regex-2023.12.25-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e14b73607d6231f3cc4622809c196b540a6a44e903bcfad940779c80dffa7be7"},
+ {file = "regex-2023.12.25-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9eda5f7a50141291beda3edd00abc2d4a5b16c29c92daf8d5bd76934150f3edc"},
+ {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc6bb9aa69aacf0f6032c307da718f61a40cf970849e471254e0e91c56ffca95"},
+ {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:298dc6354d414bc921581be85695d18912bea163a8b23cac9a2562bbcd5088b1"},
+ {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2f4e475a80ecbd15896a976aa0b386c5525d0ed34d5c600b6d3ebac0a67c7ddf"},
+ {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:531ac6cf22b53e0696f8e1d56ce2396311254eb806111ddd3922c9d937151dae"},
+ {file = "regex-2023.12.25-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22f3470f7524b6da61e2020672df2f3063676aff444db1daa283c2ea4ed259d6"},
+ {file = "regex-2023.12.25-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:89723d2112697feaa320c9d351e5f5e7b841e83f8b143dba8e2d2b5f04e10923"},
+ {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0ecf44ddf9171cd7566ef1768047f6e66975788258b1c6c6ca78098b95cf9a3d"},
+ {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:905466ad1702ed4acfd67a902af50b8db1feeb9781436372261808df7a2a7bca"},
+ {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:4558410b7a5607a645e9804a3e9dd509af12fb72b9825b13791a37cd417d73a5"},
+ {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:7e316026cc1095f2a3e8cc012822c99f413b702eaa2ca5408a513609488cb62f"},
+ {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3b1de218d5375cd6ac4b5493e0b9f3df2be331e86520f23382f216c137913d20"},
+ {file = "regex-2023.12.25-cp39-cp39-win32.whl", hash = "sha256:11a963f8e25ab5c61348d090bf1b07f1953929c13bd2309a0662e9ff680763c9"},
+ {file = "regex-2023.12.25-cp39-cp39-win_amd64.whl", hash = "sha256:e693e233ac92ba83a87024e1d32b5f9ab15ca55ddd916d878146f4e3406b5c91"},
+ {file = "regex-2023.12.25.tar.gz", hash = "sha256:29171aa128da69afdf4bde412d5bedc335f2ca8fcfe4489038577d05f16181e5"},
+]
+
+[[package]]
+name = "requests"
+version = "2.31.0"
+description = "Python HTTP for Humans."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
+ {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
+]
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<3"
+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
+[[package]]
+name = "rfc3339-validator"
+version = "0.1.4"
+description = "A pure python RFC3339 validator"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+ {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"},
+ {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"},
+]
+
+[package.dependencies]
+six = "*"
+
+[[package]]
+name = "rfc3986-validator"
+version = "0.1.1"
+description = "Pure python rfc3986 validator"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+ {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"},
+ {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"},
+]
+
+[[package]]
+name = "rpds-py"
+version = "0.18.0"
+description = "Python bindings to Rust's persistent data structures (rpds)"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "rpds_py-0.18.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5b4e7d8d6c9b2e8ee2d55c90b59c707ca59bc30058269b3db7b1f8df5763557e"},
+ {file = "rpds_py-0.18.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c463ed05f9dfb9baebef68048aed8dcdc94411e4bf3d33a39ba97e271624f8f7"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:01e36a39af54a30f28b73096dd39b6802eddd04c90dbe161c1b8dbe22353189f"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d62dec4976954a23d7f91f2f4530852b0c7608116c257833922a896101336c51"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd18772815d5f008fa03d2b9a681ae38d5ae9f0e599f7dda233c439fcaa00d40"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:923d39efa3cfb7279a0327e337a7958bff00cc447fd07a25cddb0a1cc9a6d2da"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39514da80f971362f9267c600b6d459bfbbc549cffc2cef8e47474fddc9b45b1"},
+ {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a34d557a42aa28bd5c48a023c570219ba2593bcbbb8dc1b98d8cf5d529ab1434"},
+ {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:93df1de2f7f7239dc9cc5a4a12408ee1598725036bd2dedadc14d94525192fc3"},
+ {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:34b18ba135c687f4dac449aa5157d36e2cbb7c03cbea4ddbd88604e076aa836e"},
+ {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c0b5dcf9193625afd8ecc92312d6ed78781c46ecbf39af9ad4681fc9f464af88"},
+ {file = "rpds_py-0.18.0-cp310-none-win32.whl", hash = "sha256:c4325ff0442a12113a6379af66978c3fe562f846763287ef66bdc1d57925d337"},
+ {file = "rpds_py-0.18.0-cp310-none-win_amd64.whl", hash = "sha256:7223a2a5fe0d217e60a60cdae28d6949140dde9c3bcc714063c5b463065e3d66"},
+ {file = "rpds_py-0.18.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:3a96e0c6a41dcdba3a0a581bbf6c44bb863f27c541547fb4b9711fd8cf0ffad4"},
+ {file = "rpds_py-0.18.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30f43887bbae0d49113cbaab729a112251a940e9b274536613097ab8b4899cf6"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcb25daa9219b4cf3a0ab24b0eb9a5cc8949ed4dc72acb8fa16b7e1681aa3c58"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d68c93e381010662ab873fea609bf6c0f428b6d0bb00f2c6939782e0818d37bf"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b34b7aa8b261c1dbf7720b5d6f01f38243e9b9daf7e6b8bc1fd4657000062f2c"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2e6d75ab12b0bbab7215e5d40f1e5b738aa539598db27ef83b2ec46747df90e1"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b8612cd233543a3781bc659c731b9d607de65890085098986dfd573fc2befe5"},
+ {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:aec493917dd45e3c69d00a8874e7cbed844efd935595ef78a0f25f14312e33c6"},
+ {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:661d25cbffaf8cc42e971dd570d87cb29a665f49f4abe1f9e76be9a5182c4688"},
+ {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1df3659d26f539ac74fb3b0c481cdf9d725386e3552c6fa2974f4d33d78e544b"},
+ {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a1ce3ba137ed54f83e56fb983a5859a27d43a40188ba798993812fed73c70836"},
+ {file = "rpds_py-0.18.0-cp311-none-win32.whl", hash = "sha256:69e64831e22a6b377772e7fb337533c365085b31619005802a79242fee620bc1"},
+ {file = "rpds_py-0.18.0-cp311-none-win_amd64.whl", hash = "sha256:998e33ad22dc7ec7e030b3df701c43630b5bc0d8fbc2267653577e3fec279afa"},
+ {file = "rpds_py-0.18.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:7f2facbd386dd60cbbf1a794181e6aa0bd429bd78bfdf775436020172e2a23f0"},
+ {file = "rpds_py-0.18.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1d9a5be316c15ffb2b3c405c4ff14448c36b4435be062a7f578ccd8b01f0c4d8"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd5bf1af8efe569654bbef5a3e0a56eca45f87cfcffab31dd8dde70da5982475"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5417558f6887e9b6b65b4527232553c139b57ec42c64570569b155262ac0754f"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:56a737287efecafc16f6d067c2ea0117abadcd078d58721f967952db329a3e5c"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8f03bccbd8586e9dd37219bce4d4e0d3ab492e6b3b533e973fa08a112cb2ffc9"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4457a94da0d5c53dc4b3e4de1158bdab077db23c53232f37a3cb7afdb053a4e3"},
+ {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0ab39c1ba9023914297dd88ec3b3b3c3f33671baeb6acf82ad7ce883f6e8e157"},
+ {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9d54553c1136b50fd12cc17e5b11ad07374c316df307e4cfd6441bea5fb68496"},
+ {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0af039631b6de0397ab2ba16eaf2872e9f8fca391b44d3d8cac317860a700a3f"},
+ {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:84ffab12db93b5f6bad84c712c92060a2d321b35c3c9960b43d08d0f639d60d7"},
+ {file = "rpds_py-0.18.0-cp312-none-win32.whl", hash = "sha256:685537e07897f173abcf67258bee3c05c374fa6fff89d4c7e42fb391b0605e98"},
+ {file = "rpds_py-0.18.0-cp312-none-win_amd64.whl", hash = "sha256:e003b002ec72c8d5a3e3da2989c7d6065b47d9eaa70cd8808b5384fbb970f4ec"},
+ {file = "rpds_py-0.18.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:08f9ad53c3f31dfb4baa00da22f1e862900f45908383c062c27628754af2e88e"},
+ {file = "rpds_py-0.18.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c0013fe6b46aa496a6749c77e00a3eb07952832ad6166bd481c74bda0dcb6d58"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e32a92116d4f2a80b629778280103d2a510a5b3f6314ceccd6e38006b5e92dcb"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e541ec6f2ec456934fd279a3120f856cd0aedd209fc3852eca563f81738f6861"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bed88b9a458e354014d662d47e7a5baafd7ff81c780fd91584a10d6ec842cb73"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2644e47de560eb7bd55c20fc59f6daa04682655c58d08185a9b95c1970fa1e07"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e8916ae4c720529e18afa0b879473049e95949bf97042e938530e072fde061d"},
+ {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:465a3eb5659338cf2a9243e50ad9b2296fa15061736d6e26240e713522b6235c"},
+ {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ea7d4a99f3b38c37eac212dbd6ec42b7a5ec51e2c74b5d3223e43c811609e65f"},
+ {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:67071a6171e92b6da534b8ae326505f7c18022c6f19072a81dcf40db2638767c"},
+ {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:41ef53e7c58aa4ef281da975f62c258950f54b76ec8e45941e93a3d1d8580594"},
+ {file = "rpds_py-0.18.0-cp38-none-win32.whl", hash = "sha256:fdea4952db2793c4ad0bdccd27c1d8fdd1423a92f04598bc39425bcc2b8ee46e"},
+ {file = "rpds_py-0.18.0-cp38-none-win_amd64.whl", hash = "sha256:7cd863afe7336c62ec78d7d1349a2f34c007a3cc6c2369d667c65aeec412a5b1"},
+ {file = "rpds_py-0.18.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:5307def11a35f5ae4581a0b658b0af8178c65c530e94893345bebf41cc139d33"},
+ {file = "rpds_py-0.18.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:77f195baa60a54ef9d2de16fbbfd3ff8b04edc0c0140a761b56c267ac11aa467"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39f5441553f1c2aed4de4377178ad8ff8f9d733723d6c66d983d75341de265ab"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9a00312dea9310d4cb7dbd7787e722d2e86a95c2db92fbd7d0155f97127bcb40"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f2fc11e8fe034ee3c34d316d0ad8808f45bc3b9ce5857ff29d513f3ff2923a1"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:586f8204935b9ec884500498ccc91aa869fc652c40c093bd9e1471fbcc25c022"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddc2f4dfd396c7bfa18e6ce371cba60e4cf9d2e5cdb71376aa2da264605b60b9"},
+ {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5ddcba87675b6d509139d1b521e0c8250e967e63b5909a7e8f8944d0f90ff36f"},
+ {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7bd339195d84439cbe5771546fe8a4e8a7a045417d8f9de9a368c434e42a721e"},
+ {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:d7c36232a90d4755b720fbd76739d8891732b18cf240a9c645d75f00639a9024"},
+ {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6b0817e34942b2ca527b0e9298373e7cc75f429e8da2055607f4931fded23e20"},
+ {file = "rpds_py-0.18.0-cp39-none-win32.whl", hash = "sha256:99f70b740dc04d09e6b2699b675874367885217a2e9f782bdf5395632ac663b7"},
+ {file = "rpds_py-0.18.0-cp39-none-win_amd64.whl", hash = "sha256:6ef687afab047554a2d366e112dd187b62d261d49eb79b77e386f94644363294"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ad36cfb355e24f1bd37cac88c112cd7730873f20fb0bdaf8ba59eedf8216079f"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:36b3ee798c58ace201289024b52788161e1ea133e4ac93fba7d49da5fec0ef9e"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8a2f084546cc59ea99fda8e070be2fd140c3092dc11524a71aa8f0f3d5a55ca"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e4461d0f003a0aa9be2bdd1b798a041f177189c1a0f7619fe8c95ad08d9a45d7"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8db715ebe3bb7d86d77ac1826f7d67ec11a70dbd2376b7cc214199360517b641"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793968759cd0d96cac1e367afd70c235867831983f876a53389ad869b043c948"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66e6a3af5a75363d2c9a48b07cb27c4ea542938b1a2e93b15a503cdfa8490795"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ef0befbb5d79cf32d0266f5cff01545602344eda89480e1dd88aca964260b18"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1d4acf42190d449d5e89654d5c1ed3a4f17925eec71f05e2a41414689cda02d1"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:a5f446dd5055667aabaee78487f2b5ab72e244f9bc0b2ffebfeec79051679984"},
+ {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:9dbbeb27f4e70bfd9eec1be5477517365afe05a9b2c441a0b21929ee61048124"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:22806714311a69fd0af9b35b7be97c18a0fc2826e6827dbb3a8c94eac6cf7eeb"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:b34ae4636dfc4e76a438ab826a0d1eed2589ca7d9a1b2d5bb546978ac6485461"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c8370641f1a7f0e0669ddccca22f1da893cef7628396431eb445d46d893e5cd"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c8362467a0fdeccd47935f22c256bec5e6abe543bf0d66e3d3d57a8fb5731863"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11a8c85ef4a07a7638180bf04fe189d12757c696eb41f310d2426895356dcf05"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b316144e85316da2723f9d8dc75bada12fa58489a527091fa1d5a612643d1a0e"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf1ea2e34868f6fbf070e1af291c8180480310173de0b0c43fc38a02929fc0e3"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e546e768d08ad55b20b11dbb78a745151acbd938f8f00d0cfbabe8b0199b9880"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4901165d170a5fde6f589acb90a6b33629ad1ec976d4529e769c6f3d885e3e80"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:618a3d6cae6ef8ec88bb76dd80b83cfe415ad4f1d942ca2a903bf6b6ff97a2da"},
+ {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ed4eb745efbff0a8e9587d22a84be94a5eb7d2d99c02dacf7bd0911713ed14dd"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6c81e5f372cd0dc5dc4809553d34f832f60a46034a5f187756d9b90586c2c307"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:43fbac5f22e25bee1d482c97474f930a353542855f05c1161fd804c9dc74a09d"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d7faa6f14017c0b1e69f5e2c357b998731ea75a442ab3841c0dbbbfe902d2c4"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:08231ac30a842bd04daabc4d71fddd7e6d26189406d5a69535638e4dcb88fe76"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:044a3e61a7c2dafacae99d1e722cc2d4c05280790ec5a05031b3876809d89a5c"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3f26b5bd1079acdb0c7a5645e350fe54d16b17bfc5e71f371c449383d3342e17"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:482103aed1dfe2f3b71a58eff35ba105289b8d862551ea576bd15479aba01f66"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1374f4129f9bcca53a1bba0bb86bf78325a0374577cf7e9e4cd046b1e6f20e24"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:635dc434ff724b178cb192c70016cc0ad25a275228f749ee0daf0eddbc8183b1"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:bc362ee4e314870a70f4ae88772d72d877246537d9f8cb8f7eacf10884862432"},
+ {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:4832d7d380477521a8c1644bbab6588dfedea5e30a7d967b5fb75977c45fd77f"},
+ {file = "rpds_py-0.18.0.tar.gz", hash = "sha256:42821446ee7a76f5d9f71f9e33a4fb2ffd724bb3e7f93386150b61a43115788d"},
+]
+
+[[package]]
+name = "ruff"
+version = "0.0.292"
+description = "An extremely fast Python linter, written in Rust."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "ruff-0.0.292-py3-none-macosx_10_7_x86_64.whl", hash = "sha256:02f29db018c9d474270c704e6c6b13b18ed0ecac82761e4fcf0faa3728430c96"},
+ {file = "ruff-0.0.292-py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:69654e564342f507edfa09ee6897883ca76e331d4bbc3676d8a8403838e9fade"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c3c91859a9b845c33778f11902e7b26440d64b9d5110edd4e4fa1726c41e0a4"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f4476f1243af2d8c29da5f235c13dca52177117935e1f9393f9d90f9833f69e4"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:be8eb50eaf8648070b8e58ece8e69c9322d34afe367eec4210fdee9a555e4ca7"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:9889bac18a0c07018aac75ef6c1e6511d8411724d67cb879103b01758e110a81"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6bdfabd4334684a4418b99b3118793f2c13bb67bf1540a769d7816410402a205"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7c77c53bfcd75dbcd4d1f42d6cabf2485d2e1ee0678da850f08e1ab13081a8"},
+ {file = "ruff-0.0.292-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e087b24d0d849c5c81516ec740bf4fd48bf363cfb104545464e0fca749b6af9"},
+ {file = "ruff-0.0.292-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:f160b5ec26be32362d0774964e218f3fcf0a7da299f7e220ef45ae9e3e67101a"},
+ {file = "ruff-0.0.292-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:ac153eee6dd4444501c4bb92bff866491d4bfb01ce26dd2fff7ca472c8df9ad0"},
+ {file = "ruff-0.0.292-py3-none-musllinux_1_2_i686.whl", hash = "sha256:87616771e72820800b8faea82edd858324b29bb99a920d6aa3d3949dd3f88fb0"},
+ {file = "ruff-0.0.292-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b76deb3bdbea2ef97db286cf953488745dd6424c122d275f05836c53f62d4016"},
+ {file = "ruff-0.0.292-py3-none-win32.whl", hash = "sha256:e854b05408f7a8033a027e4b1c7f9889563dd2aca545d13d06711e5c39c3d003"},
+ {file = "ruff-0.0.292-py3-none-win_amd64.whl", hash = "sha256:f27282bedfd04d4c3492e5c3398360c9d86a295be00eccc63914438b4ac8a83c"},
+ {file = "ruff-0.0.292-py3-none-win_arm64.whl", hash = "sha256:7f67a69c8f12fbc8daf6ae6d36705037bde315abf8b82b6e1f4c9e74eb750f68"},
+ {file = "ruff-0.0.292.tar.gz", hash = "sha256:1093449e37dd1e9b813798f6ad70932b57cf614e5c2b5c51005bf67d55db33ac"},
+]
+
+[[package]]
+name = "send2trash"
+version = "1.8.2"
+description = "Send file to trash natively under Mac OS X, Windows and Linux"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+files = [
+ {file = "Send2Trash-1.8.2-py3-none-any.whl", hash = "sha256:a384719d99c07ce1eefd6905d2decb6f8b7ed054025bb0e618919f945de4f679"},
+ {file = "Send2Trash-1.8.2.tar.gz", hash = "sha256:c132d59fa44b9ca2b1699af5c86f57ce9f4c5eb56629d5d55fbb7a35f84e2312"},
+]
+
+[package.extras]
+nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
+objc = ["pyobjc-framework-Cocoa"]
+win32 = ["pywin32"]
+
+[[package]]
+name = "setuptools"
+version = "69.1.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "setuptools-69.1.0-py3-none-any.whl", hash = "sha256:c054629b81b946d63a9c6e732bc8b2513a7c3ea645f11d0139a2191d735c60c6"},
+ {file = "setuptools-69.1.0.tar.gz", hash = "sha256:850894c4195f09c4ed30dba56213bf7c3f21d86ed6bdaafb5df5972593bfc401"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+ {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+ {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+
+[[package]]
+name = "sniffio"
+version = "1.3.0"
+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
+ {file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
+]
+
+[[package]]
+name = "soupsieve"
+version = "2.5"
+description = "A modern CSS selector implementation for Beautiful Soup."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
+ {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
+]
+
+[[package]]
+name = "sqlalchemy"
+version = "2.0.27"
+description = "Database Abstraction Library"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d04e579e911562f1055d26dab1868d3e0bb905db3bccf664ee8ad109f035618a"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fa67d821c1fd268a5a87922ef4940442513b4e6c377553506b9db3b83beebbd8"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c7a596d0be71b7baa037f4ac10d5e057d276f65a9a611c46970f012752ebf2d"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:954d9735ee9c3fa74874c830d089a815b7b48df6f6b6e357a74130e478dbd951"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5cd20f58c29bbf2680039ff9f569fa6d21453fbd2fa84dbdb4092f006424c2e6"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:03f448ffb731b48323bda68bcc93152f751436ad6037f18a42b7e16af9e91c07"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-win32.whl", hash = "sha256:d997c5938a08b5e172c30583ba6b8aad657ed9901fc24caf3a7152eeccb2f1b4"},
+ {file = "SQLAlchemy-2.0.27-cp310-cp310-win_amd64.whl", hash = "sha256:eb15ef40b833f5b2f19eeae65d65e191f039e71790dd565c2af2a3783f72262f"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6c5bad7c60a392850d2f0fee8f355953abaec878c483dd7c3836e0089f046bf6"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a3012ab65ea42de1be81fff5fb28d6db893ef978950afc8130ba707179b4284a"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbcd77c4d94b23e0753c5ed8deba8c69f331d4fd83f68bfc9db58bc8983f49cd"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d177b7e82f6dd5e1aebd24d9c3297c70ce09cd1d5d37b43e53f39514379c029c"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:680b9a36029b30cf063698755d277885d4a0eab70a2c7c6e71aab601323cba45"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1306102f6d9e625cebaca3d4c9c8f10588735ef877f0360b5cdb4fdfd3fd7131"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-win32.whl", hash = "sha256:5b78aa9f4f68212248aaf8943d84c0ff0f74efc65a661c2fc68b82d498311fd5"},
+ {file = "SQLAlchemy-2.0.27-cp311-cp311-win_amd64.whl", hash = "sha256:15e19a84b84528f52a68143439d0c7a3a69befcd4f50b8ef9b7b69d2628ae7c4"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:0de1263aac858f288a80b2071990f02082c51d88335a1db0d589237a3435fe71"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce850db091bf7d2a1f2fdb615220b968aeff3849007b1204bf6e3e50a57b3d32"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8dfc936870507da96aebb43e664ae3a71a7b96278382bcfe84d277b88e379b18"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4fbe6a766301f2e8a4519f4500fe74ef0a8509a59e07a4085458f26228cd7cc"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4535c49d961fe9a77392e3a630a626af5baa967172d42732b7a43496c8b28876"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0fb3bffc0ced37e5aa4ac2416f56d6d858f46d4da70c09bb731a246e70bff4d5"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-win32.whl", hash = "sha256:7f470327d06400a0aa7926b375b8e8c3c31d335e0884f509fe272b3c700a7254"},
+ {file = "SQLAlchemy-2.0.27-cp312-cp312-win_amd64.whl", hash = "sha256:f9374e270e2553653d710ece397df67db9d19c60d2647bcd35bfc616f1622dcd"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e97cf143d74a7a5a0f143aa34039b4fecf11343eed66538610debc438685db4a"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7b5a3e2120982b8b6bd1d5d99e3025339f7fb8b8267551c679afb39e9c7c7f1"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e36aa62b765cf9f43a003233a8c2d7ffdeb55bc62eaa0a0380475b228663a38f"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:5ada0438f5b74c3952d916c199367c29ee4d6858edff18eab783b3978d0db16d"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:b1d9d1bfd96eef3c3faedb73f486c89e44e64e40e5bfec304ee163de01cf996f"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-win32.whl", hash = "sha256:ca891af9f3289d24a490a5fde664ea04fe2f4984cd97e26de7442a4251bd4b7c"},
+ {file = "SQLAlchemy-2.0.27-cp37-cp37m-win_amd64.whl", hash = "sha256:fd8aafda7cdff03b905d4426b714601c0978725a19efc39f5f207b86d188ba01"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ec1f5a328464daf7a1e4e385e4f5652dd9b1d12405075ccba1df842f7774b4fc"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ad862295ad3f644e3c2c0d8b10a988e1600d3123ecb48702d2c0f26771f1c396"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48217be1de7d29a5600b5c513f3f7664b21d32e596d69582be0a94e36b8309cb"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e56afce6431450442f3ab5973156289bd5ec33dd618941283847c9fd5ff06bf"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:611068511b5531304137bcd7fe8117c985d1b828eb86043bd944cebb7fae3910"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b86abba762ecfeea359112b2bb4490802b340850bbee1948f785141a5e020de8"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-win32.whl", hash = "sha256:30d81cc1192dc693d49d5671cd40cdec596b885b0ce3b72f323888ab1c3863d5"},
+ {file = "SQLAlchemy-2.0.27-cp38-cp38-win_amd64.whl", hash = "sha256:120af1e49d614d2525ac247f6123841589b029c318b9afbfc9e2b70e22e1827d"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d07ee7793f2aeb9b80ec8ceb96bc8cc08a2aec8a1b152da1955d64e4825fcbac"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cb0845e934647232b6ff5150df37ceffd0b67b754b9fdbb095233deebcddbd4a"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fc19ae2e07a067663dd24fca55f8ed06a288384f0e6e3910420bf4b1270cc51"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b90053be91973a6fb6020a6e44382c97739736a5a9d74e08cc29b196639eb979"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2f5c9dfb0b9ab5e3a8a00249534bdd838d943ec4cfb9abe176a6c33408430230"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:33e8bde8fff203de50399b9039c4e14e42d4d227759155c21f8da4a47fc8053c"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-win32.whl", hash = "sha256:d873c21b356bfaf1589b89090a4011e6532582b3a8ea568a00e0c3aab09399dd"},
+ {file = "SQLAlchemy-2.0.27-cp39-cp39-win_amd64.whl", hash = "sha256:ff2f1b7c963961d41403b650842dc2039175b906ab2093635d8319bef0b7d620"},
+ {file = "SQLAlchemy-2.0.27-py3-none-any.whl", hash = "sha256:1ab4e0448018d01b142c916cc7119ca573803a4745cfe341b8f95657812700ac"},
+ {file = "SQLAlchemy-2.0.27.tar.gz", hash = "sha256:86a6ed69a71fe6b88bf9331594fa390a2adda4a49b5c06f98e47bf0d392534f8"},
+]
+
+[package.dependencies]
+greenlet = {version = "!=0.4.17", optional = true, markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or extra == \"asyncio\""}
+typing-extensions = ">=4.6.0"
+
+[package.extras]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (!=0.4.17)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
+mssql = ["pyodbc"]
+mssql-pymssql = ["pymssql"]
+mssql-pyodbc = ["pyodbc"]
+mypy = ["mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=8)"]
+oracle-oracledb = ["oracledb (>=1.0.1)"]
+postgresql = ["psycopg2 (>=2.7)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
+postgresql-psycopg = ["psycopg (>=3.0.7)"]
+postgresql-psycopg2binary = ["psycopg2-binary"]
+postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
+pymysql = ["pymysql"]
+sqlcipher = ["sqlcipher3_binary"]
+
+[[package]]
+name = "stack-data"
+version = "0.6.3"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+optional = false
+python-versions = "*"
+files = [
+ {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
+ {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
+]
+
+[package.dependencies]
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
+
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+
+[[package]]
+name = "tenacity"
+version = "8.2.3"
+description = "Retry code until it succeeds"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
+ {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
+]
+
+[package.extras]
+doc = ["reno", "sphinx", "tornado (>=4.5)"]
+
+[[package]]
+name = "terminado"
+version = "0.18.0"
+description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "terminado-0.18.0-py3-none-any.whl", hash = "sha256:87b0d96642d0fe5f5abd7783857b9cab167f221a39ff98e3b9619a788a3c0f2e"},
+ {file = "terminado-0.18.0.tar.gz", hash = "sha256:1ea08a89b835dd1b8c0c900d92848147cef2537243361b2e3f4dc15df9b6fded"},
+]
+
+[package.dependencies]
+ptyprocess = {version = "*", markers = "os_name != \"nt\""}
+pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
+tornado = ">=6.1.0"
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
+typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
+
+[[package]]
+name = "tiktoken"
+version = "0.6.0"
+description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "tiktoken-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac"},
+ {file = "tiktoken-0.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c"},
+ {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afb9a2a866ae6eef1995ab656744287a5ac95acc7e0491c33fad54d053288ad3"},
+ {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c62c05b3109fefca26fedb2820452a050074ad8e5ad9803f4652977778177d9f"},
+ {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0ef917fad0bccda07bfbad835525bbed5f3ab97a8a3e66526e48cdc3e7beacf7"},
+ {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e095131ab6092d0769a2fda85aa260c7c383072daec599ba9d8b149d2a3f4d8b"},
+ {file = "tiktoken-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:05b344c61779f815038292a19a0c6eb7098b63c8f865ff205abb9ea1b656030e"},
+ {file = "tiktoken-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cefb9870fb55dca9e450e54dbf61f904aab9180ff6fe568b61f4db9564e78871"},
+ {file = "tiktoken-0.6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:702950d33d8cabc039845674107d2e6dcabbbb0990ef350f640661368df481bb"},
+ {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8d49d076058f23254f2aff9af603863c5c5f9ab095bc896bceed04f8f0b013a"},
+ {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:430bc4e650a2d23a789dc2cdca3b9e5e7eb3cd3935168d97d43518cbb1f9a911"},
+ {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:293cb8669757301a3019a12d6770bd55bec38a4d3ee9978ddbe599d68976aca7"},
+ {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7bd1a288b7903aadc054b0e16ea78e3171f70b670e7372432298c686ebf9dd47"},
+ {file = "tiktoken-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac76e000183e3b749634968a45c7169b351e99936ef46f0d2353cd0d46c3118d"},
+ {file = "tiktoken-0.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17cc8a4a3245ab7d935c83a2db6bb71619099d7284b884f4b2aea4c74f2f83e3"},
+ {file = "tiktoken-0.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:284aebcccffe1bba0d6571651317df6a5b376ff6cfed5aeb800c55df44c78177"},
+ {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0c1a3a5d33846f8cd9dd3b7897c1d45722f48625a587f8e6f3d3e85080559be8"},
+ {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6318b2bb2337f38ee954fd5efa82632c6e5ced1d52a671370fa4b2eff1355e91"},
+ {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f5f0f2ed67ba16373f9a6013b68da298096b27cd4e1cf276d2d3868b5c7efd1"},
+ {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:75af4c0b16609c2ad02581f3cdcd1fb698c7565091370bf6c0cf8624ffaba6dc"},
+ {file = "tiktoken-0.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:45577faf9a9d383b8fd683e313cf6df88b6076c034f0a16da243bb1c139340c3"},
+ {file = "tiktoken-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7c1492ab90c21ca4d11cef3a236ee31a3e279bb21b3fc5b0e2210588c4209e68"},
+ {file = "tiktoken-0.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e2b380c5b7751272015400b26144a2bab4066ebb8daae9c3cd2a92c3b508fe5a"},
+ {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f497598b9f58c99cbc0eb764b4a92272c14d5203fc713dd650b896a03a50ad"},
+ {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e65e8bd6f3f279d80f1e1fbd5f588f036b9a5fa27690b7f0cc07021f1dfa0839"},
+ {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5f1495450a54e564d236769d25bfefbf77727e232d7a8a378f97acddee08c1ae"},
+ {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6c4e4857d99f6fb4670e928250835b21b68c59250520a1941618b5b4194e20c3"},
+ {file = "tiktoken-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:168d718f07a39b013032741867e789971346df8e89983fe3c0ef3fbd5a0b1cb9"},
+ {file = "tiktoken-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:47fdcfe11bd55376785a6aea8ad1db967db7f66ea81aed5c43fad497521819a4"},
+ {file = "tiktoken-0.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fb7d2ccbf1a7784810aff6b80b4012fb42c6fc37eaa68cb3b553801a5cc2d1fc"},
+ {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ccb7a111ee76af5d876a729a347f8747d5ad548e1487eeea90eaf58894b3138"},
+ {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2048e1086b48e3c8c6e2ceeac866561374cd57a84622fa49a6b245ffecb7744"},
+ {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:07f229a5eb250b6403a61200199cecf0aac4aa23c3ecc1c11c1ca002cbb8f159"},
+ {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:432aa3be8436177b0db5a2b3e7cc28fd6c693f783b2f8722539ba16a867d0c6a"},
+ {file = "tiktoken-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8bfe8a19c8b5c40d121ee7938cd9c6a278e5b97dc035fd61714b4f0399d2f7a1"},
+ {file = "tiktoken-0.6.0.tar.gz", hash = "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed"},
+]
+
+[package.dependencies]
+regex = ">=2022.1.18"
+requests = ">=2.26.0"
+
+[package.extras]
+blobfile = ["blobfile (>=2)"]
+
+[[package]]
+name = "tinycss2"
+version = "1.2.1"
+description = "A tiny CSS parser"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "tinycss2-1.2.1-py3-none-any.whl", hash = "sha256:2b80a96d41e7c3914b8cda8bc7f705a4d9c49275616e886103dd839dfc847847"},
+ {file = "tinycss2-1.2.1.tar.gz", hash = "sha256:8cff3a8f066c2ec677c06dbc7b45619804a6938478d9d73c284b29d14ecb0627"},
+]
+
+[package.dependencies]
+webencodings = ">=0.4"
+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "pytest"]
+
+[[package]]
+name = "tokenize-rt"
+version = "5.2.0"
+description = "A wrapper around the stdlib `tokenize` which roundtrips."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "tokenize_rt-5.2.0-py2.py3-none-any.whl", hash = "sha256:b79d41a65cfec71285433511b50271b05da3584a1da144a0752e9c621a285289"},
+ {file = "tokenize_rt-5.2.0.tar.gz", hash = "sha256:9fe80f8a5c1edad2d3ede0f37481cc0cc1538a2f442c9c2f9e4feacd2792d054"},
+]
+
+[[package]]
+name = "tomli"
+version = "2.0.1"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+ {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
+
+[[package]]
+name = "tomlkit"
+version = "0.12.3"
+description = "Style preserving TOML library"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "tomlkit-0.12.3-py3-none-any.whl", hash = "sha256:b0a645a9156dc7cb5d3a1f0d4bab66db287fcb8e0430bdd4664a095ea16414ba"},
+ {file = "tomlkit-0.12.3.tar.gz", hash = "sha256:75baf5012d06501f07bee5bf8e801b9f343e7aac5a92581f20f80ce632e6b5a4"},
+]
+
+[[package]]
+name = "tornado"
+version = "6.4"
+description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
+optional = false
+python-versions = ">= 3.8"
+files = [
+ {file = "tornado-6.4-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:02ccefc7d8211e5a7f9e8bc3f9e5b0ad6262ba2fbb683a6443ecc804e5224ce0"},
+ {file = "tornado-6.4-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:27787de946a9cffd63ce5814c33f734c627a87072ec7eed71f7fc4417bb16263"},
+ {file = "tornado-6.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7894c581ecdcf91666a0912f18ce5e757213999e183ebfc2c3fdbf4d5bd764e"},
+ {file = "tornado-6.4-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e43bc2e5370a6a8e413e1e1cd0c91bedc5bd62a74a532371042a18ef19e10579"},
+ {file = "tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0251554cdd50b4b44362f73ad5ba7126fc5b2c2895cc62b14a1c2d7ea32f212"},
+ {file = "tornado-6.4-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fd03192e287fbd0899dd8f81c6fb9cbbc69194d2074b38f384cb6fa72b80e9c2"},
+ {file = "tornado-6.4-cp38-abi3-musllinux_1_1_i686.whl", hash = "sha256:88b84956273fbd73420e6d4b8d5ccbe913c65d31351b4c004ae362eba06e1f78"},
+ {file = "tornado-6.4-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:71ddfc23a0e03ef2df1c1397d859868d158c8276a0603b96cf86892bff58149f"},
+ {file = "tornado-6.4-cp38-abi3-win32.whl", hash = "sha256:6f8a6c77900f5ae93d8b4ae1196472d0ccc2775cc1dfdc9e7727889145c45052"},
+ {file = "tornado-6.4-cp38-abi3-win_amd64.whl", hash = "sha256:10aeaa8006333433da48dec9fe417877f8bcc21f48dda8d661ae79da357b2a63"},
+ {file = "tornado-6.4.tar.gz", hash = "sha256:72291fa6e6bc84e626589f1c29d90a5a6d593ef5ae68052ee2ef000dfd273dee"},
+]
+
+[[package]]
+name = "tqdm"
+version = "4.66.2"
+description = "Fast, Extensible Progress Meter"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
+ {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
+telegram = ["requests"]
+
+[[package]]
+name = "traitlets"
+version = "5.14.1"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
+ {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
+
+[[package]]
+name = "tree-sitter"
+version = "0.20.4"
+description = "Python bindings for the Tree-Sitter parsing library"
+optional = false
+python-versions = ">=3.3"
+files = [
+ {file = "tree_sitter-0.20.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c259b9bcb596e54f54713eb3951226fc834d65289940f4bfdcdf519f08e8e876"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:88da7e2e4c69881cd63916cc24ae0b809f96aae331da45b418ae6b2d1ed2ca19"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:66a68b156ba131e9d8dff4a1f72037f4b368cc50c58f18905a91743ae1d1c795"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae28e25d551f406807011487bdfb9728041e656b30b554fa7f3391ab64ed69f9"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36b10c9c69e825ba65cf9b0f77668bf33e70d2a5764b64ad6f133f8cc9220f09"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7c18c64ddd44b75b7e1660b9793753eda427e4b145b6216d4b2d2e9b200c74f2"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e9e9e594bbefb76ad9ea256f5c87eba7591b4758854d3df83ce4df415933a006"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-win32.whl", hash = "sha256:b4755229dc18644fe48bcab974bde09b171fcb6ef625d3cb5ece5c6198f4223e"},
+ {file = "tree_sitter-0.20.4-cp310-cp310-win_amd64.whl", hash = "sha256:f792684cee8a46d9194d9f4223810e54ccc704470c5777538d59fbde0a4c91bf"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9d22ee75f45836554ee6a11e50dd8f9827941e67c49fce9a0790245b899811a9"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a0ffd76dd991ba745bb5d0ba1d583bec85726d3ddef8c9685dc8636a619adde"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:060d4e5b803be0975f1ac46e54a292eab0701296ccd912f6cdac3f7331e29143"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:822e02366dbf223697b2b56b8f91aa5b60571f9fe7c998988a381db1c69604e9"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:527ca72c6a8f60fa719af37fa86f58b7ad0e07b8f74d1c1c7e926c5c888a7e6b"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a418ca71309ea7052e076f08d623f33f58eae01a8e8cdc1e6d3a01b5b8ddebfe"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:08c3ba2561b61a83c28ca06a0bce2a5ffcfb6b39f9d27a45e5ebd9cad2bedb7f"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-win32.whl", hash = "sha256:8d04c75a389b2de94952d602264852acff8cd3ed1ccf8a2492a080973d5ddd58"},
+ {file = "tree_sitter-0.20.4-cp311-cp311-win_amd64.whl", hash = "sha256:ba9215c0e7529d9eb370528e5d99b7389d14a7eae94f07d14fa9dab18f267c62"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:c4c1af5ed4306071d30970c83ec882520a7bf5d8053996dbc4aa5c59238d4990"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9d70bfa550cf22c9cea9b3c0d18b889fc4f2a7e9dcf1d6cc93f49fa9d4a94954"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6de537bca0641775d8d175d37303d54998980fc0d997dd9aa89e16b415bf0cc3"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b1c0f8c0e3e50267566f5116cdceedf4e23e8c08b55ef3becbe954a11b16e84"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef2ee6d9bb8e21713949e5ff769ed670fe1217f95b7eeb6c675788438c1e6e"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:b6fd1c881ab0de5faa67168db2d001eee32be5482cb4e0b21b217689a05b6fe4"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:bf47047420021d50aec529cb66387c90562350b499ddf56ecef1fc8255439e30"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-win32.whl", hash = "sha256:c16b48378041fc9702b6aa3480f2ffa49ca8ea58141a862acd569e5a0679655f"},
+ {file = "tree_sitter-0.20.4-cp312-cp312-win_amd64.whl", hash = "sha256:973e871167079a1b1d7304d361449253efbe2a6974728ad563cf407bd02ddccb"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:9d33a55598dd18a4d8b869a3417de82a4812c3a7dc7e61cb025ece3e9c3e4e96"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cee6955c2c97fc5927a41c7a8b06647c4b4d9b99b8a1581bf1183435c8cec3e"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5022bea67e479ad212be7c05b983a72e297a013efb4e8ea5b5b4d7da79a9fdef"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:640f60a5b966f0990338f1bf559455c3dcb822bc4329d82b3d42f32a48374dfe"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:0e83f641fe6f27d91bd4d259fff5d35de1567d3f581b9efe9bbd5be50fe4ddc7"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-win32.whl", hash = "sha256:ce6a85027c66fa3f09d482cc6d41927ea40955f7f33b86aedd26dd932709a2c9"},
+ {file = "tree_sitter-0.20.4-cp36-cp36m-win_amd64.whl", hash = "sha256:fe10779347a6c067af29cb37fd4b75fa96c5cb68f587cc9530b70fe3f2a51a55"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28d5f84e34e276887e3a240b60906ca7e2b51e975f3145c3149ceed977a69508"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c913b65cbe10996116988ac436748f24883b5097e58274223e89bb2c5d1bb1a"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ecaed46241e071752195a628bb97d2b740f2fde9e34f8a74456a4ea8bb26df88"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b641e88a97eab002a1736d93ef5a4beac90ea4fd6e25affd1831319b99f456c9"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:327c40f439c6155e4eee54c4657e4701a04f5f4816d9defdcb836bf65bf83d21"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-win32.whl", hash = "sha256:1b7c1d95f006b3de42fbf4045bd00c273d113e372fcb6a5378e74ed120c12032"},
+ {file = "tree_sitter-0.20.4-cp37-cp37m-win_amd64.whl", hash = "sha256:6140d037239a41046f5d34fba5e0374ee697adb4b48b90579c618b5402781c11"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:f42fd1104efaad8151370f1936e2a488b7337a5d24544a9ab59ba4c4010b1272"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7859717c5d62ee386b3d036cab8ed0f88f8c027b6b4ae476a55a8c5fb8aab713"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:fdd361fe1cc68db68b4d85165641275e34b86cc26b2bab932790204fa14824dc"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b8d7539075606027b67764543463ff2bc4e52f4158ef6dc419c9f5625aa5383"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78e76307f05aca6cde72f3307b4d53701f34ae45f2248ceb83d1626051e201fd"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:dd8c352f4577f61098d06cf3feb7fd214259f41b5036b81003860ed54d16b448"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:281f3e5382d1bd7fccc88d1afe68c915565bc24f8b8dd4844079d46c7815b8a7"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-win32.whl", hash = "sha256:6a77ac3cdcddd80cdd1fd394318bff99f94f37e08d235aaefccb87e1224946e5"},
+ {file = "tree_sitter-0.20.4-cp38-cp38-win_amd64.whl", hash = "sha256:8eee8adf54033dc48eab84b040f4d7b32355a964c4ae0aae5dfbdc4dbc3364ca"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e89f6508e30fce05e2c724725d022db30d877817b9d64f933506ffb3a3f4a2c2"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7fb6286bb1fae663c45ff0700ec88fb9b50a81eed2bae8a291f95fcf8cc19547"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:11e93f8b4bbae04070416a82257a7ab2eb0afb76e093ae3ea73bd63b792f6846"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8250725c5f78929aeb2c71db5dca76f1ef448389ca16f9439161f90978bb8478"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d404a8ca9de9b0843844f0cd4d423f46bc46375ab8afb63b1d8ec01201457ac8"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0f2422c9ee70ba972dfc3943746e6cf7fc03725a866908950245bda9ccfc7301"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:21a937942e4729abbe778a609d2c218574436cb351c36fba89ef3c8c6066ec78"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-win32.whl", hash = "sha256:427a9a39360cc1816e28f8182550e478e4ba983595a2565ab9dfe32ea1b03fd7"},
+ {file = "tree_sitter-0.20.4-cp39-cp39-win_amd64.whl", hash = "sha256:7095bb9aff297fa9c6026bf8914fd295997d714d1a6ee9a1edf7282c772f9f64"},
+ {file = "tree_sitter-0.20.4-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:859260b90f0e3867ae840e39f54e830f607b3bc531bc21deeeeaa8a30cbb89ad"},
+ {file = "tree_sitter-0.20.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0dfc14be73cf46126660a3aecdd0396e69562ad1a902245225ca7bd29649594e"},
+ {file = "tree_sitter-0.20.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec46355bf3ff23f54d5e365871ffd3e05cfbc65d1b36a8be7c0bcbda30a1d43"},
+ {file = "tree_sitter-0.20.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d933a942fde39876b99c36f12aa3764e4a555ae9366c10ce6cca8c16341c1bbf"},
+ {file = "tree_sitter-0.20.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a7eec3b55135fe851a38fa248c9fd75fc3d58ceb6e1865b795e416e4d598c2a1"},
+ {file = "tree_sitter-0.20.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfc76225529ee14a53e84413480ce81ec3c44eaa0455c140e961c90ac3118ead"},
+ {file = "tree_sitter-0.20.4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ccf0396e47efffc0b528959a8f2e2346a98297579f867e9e1834c2aad4be829c"},
+ {file = "tree_sitter-0.20.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:a15fbabd3bc8e29c48289c156d743e69f5ec72bb125cf44f7adbdaa1937c3da6"},
+ {file = "tree_sitter-0.20.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:36f8adf2126f496cf376b6e4b707cba061c25beb17841727eef6f0e083e53e1f"},
+ {file = "tree_sitter-0.20.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:841efb40c116ab0a066924925409a8a4dcffeb39a151c0b2a1c2abe56ad4fb42"},
+ {file = "tree_sitter-0.20.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2051e8a70fd8426f27a43dad71d11929a62ce30a9b1eb65bba0ed79e82481592"},
+ {file = "tree_sitter-0.20.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:99a3c2824d4cfcffd9f961176891426bde2cb36ece5280c61480be93319c23c4"},
+ {file = "tree_sitter-0.20.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:72830dc85a10430eca3d56739b7efcd7a05459c8d425f08c1aee6179ab7f13a9"},
+ {file = "tree_sitter-0.20.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4992dd226055b6cd0a4f5661c66b799a73d3eff716302e0f7ab06594ee12d49f"},
+ {file = "tree_sitter-0.20.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a66d95bbf92175cdc295d6d77f330942811f02e3aaf3fc64431cb749683b2f7d"},
+ {file = "tree_sitter-0.20.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a25b1087e4f7825b2458dacf5f4b0be2938f78e850e822edca1ff4994b56081a"},
+ {file = "tree_sitter-0.20.4.tar.gz", hash = "sha256:6adb123e2f3e56399bbf2359924633c882cc40ee8344885200bca0922f713be5"},
+]
+
+[[package]]
+name = "tree-sitter-languages"
+version = "1.10.2"
+description = "Binary Python wheels for all tree sitter languages."
+optional = false
+python-versions = "*"
+files = [
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5580348f0b20233b1d5431fa178ccd3d07423ca4a3275df02a44608fd72344b9"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:103c7466644486b1e9e03850df46fc6aa12f13ca636c74f173270276220ac80b"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d13db84511c6f1a7dc40383b66deafa74dabd8b877e3d65ab253f3719eccafd6"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57adfa32be7e465b54aa72f915f6c78a2b66b227df4f656b5d4fbd1ca7a92b3f"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c6385e033e460ceb8f33f3f940335f422ef2b763700a04f0089391a68b56153"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:dfa3f38cc5381c5aba01dd7494f59b8a9050e82ff6e06e1233e3a0cbae297e3c"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:9f195155acf47f8bc5de7cee46ecd07b2f5697f007ba89435b51ef4c0b953ea5"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2de330e2ac6d7426ca025a3ec0f10d5640c3682c1d0c7702e812dcfb44b58120"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-win32.whl", hash = "sha256:c9731cf745f135d9770eeba9bb4e2ff4dabc107b5ae9b8211e919f6b9100ea6d"},
+ {file = "tree_sitter_languages-1.10.2-cp310-cp310-win_amd64.whl", hash = "sha256:6dd75851c41d0c3c4987a9b7692d90fa8848706c23115669d8224ffd6571e357"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7eb7d7542b2091c875fe52719209631fca36f8c10fa66970d2c576ae6a1b8289"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6b41bcb00974b1c8a1800c7f1bb476a1d15a0463e760ee24872f2d53b08ee424"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f370cd7845c6c81df05680d5bd96db8a99d32b56f4728c5d05978911130a853"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a1dc195c88ef4c72607e112a809a69190e096a2e5ebc6201548b3e05fdd169ad"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ae34ac314a7170be24998a0f994c1ac80761d8d4bd126af27ee53a023d3b849"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:01b5742d5f5bd675489486b582bd482215880b26dde042c067f8265a6e925d9c"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ab1cbc46244d34fd16f21edaa20231b2a57f09f092a06ee3d469f3117e6eb954"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0b1149e7467a4e92b8a70e6005fe762f880f493cf811fc003554b29f04f5e7c8"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-win32.whl", hash = "sha256:049276343962f4696390ee555acc2c1a65873270c66a6cbe5cb0bca83bcdf3c6"},
+ {file = "tree_sitter_languages-1.10.2-cp311-cp311-win_amd64.whl", hash = "sha256:7f3fdd468a577f04db3b63454d939e26e360229b53c80361920aa1ebf2cd7491"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c0f4c8b2734c45859edc7fcaaeaab97a074114111b5ba51ab4ec7ed52104763c"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:eecd3c1244ac3425b7a82ba9125b4ddb45d953bbe61de114c0334fd89b7fe782"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15db3c8510bc39a80147ee7421bf4782c15c09581c1dc2237ea89cefbd95b846"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:92c6487a6feea683154d3e06e6db68c30e0ae749a7ce4ce90b9e4e46b78c85c7"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2f1cd1d1bdd65332f9c2b67d49dcf148cf1ded752851d159ac3e5ee4f4d260"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:976c8039165b8e12f17a01ddee9f4e23ec6e352b165ad29b44d2bf04e2fbe77e"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:dafbbdf16bf668a580902e1620f4baa1913e79438abcce721a50647564c687b9"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1aeabd3d60d6d276b73cd8f3739d595b1299d123cc079a317f1a5b3c5461e2ca"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-win32.whl", hash = "sha256:fab8ee641914098e8933b87ea3d657bea4dd00723c1ee7038b847b12eeeef4f5"},
+ {file = "tree_sitter_languages-1.10.2-cp312-cp312-win_amd64.whl", hash = "sha256:5e606430d736367e5787fa5a7a0c5a1ec9b85eded0b3596bbc0d83532a40810b"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:838d5b48a7ed7a17658721952c77fda4570d2a069f933502653b17e15a9c39c9"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:987b3c71b1d278c2889e018ee77b8ee05c384e2e3334dec798f8b611c4ab2d1e"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:faa00abcb2c819027df58472da055d22fa7dfcb77c77413d8500c32ebe24d38b"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e102fbbf02322d9201a86a814e79a9734ac80679fdb9682144479044f401a73"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:8f0b87cf1a7b03174ba18dfd81582be82bfed26803aebfe222bd20e444aba003"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c0f1b9af9cb67f0b942b020da9fdd000aad5e92f2383ae0ba7a330b318d31912"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:5a4076c921f7a4d31e643843de7dfe040b65b63a238a5aa8d31d93aabe6572aa"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-win32.whl", hash = "sha256:fa6391a3a5d83d32db80815161237b67d70576f090ce5f38339206e917a6f8bd"},
+ {file = "tree_sitter_languages-1.10.2-cp37-cp37m-win_amd64.whl", hash = "sha256:55649d3f254585a064121513627cf9788c1cfdadbc5f097f33d5ba750685a4c0"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6f85d1edaa2d22d80d4ea5b6d12b95cf3644017b6c227d0d42854439e02e8893"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d78feed4a764ef3141cb54bf00fe94d514d8b6e26e09423e23b4c616fcb7938c"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da1aca27531f9dd5308637d76643372856f0f65d0d28677d1bcf4211e8ed1ad0"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1031ea440dafb72237437d754eff8940153a3b051e3d18932ac25e75ce060a15"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99d3249beaef2c9fe558ecc9a97853c260433a849dcc68266d9770d196c2e102"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:59a4450f262a55148fb7e68681522f0c2a2f6b7d89666312a2b32708d8f416e1"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ce74eab0e430370d5e15a96b6c6205f93405c177a8b2e71e1526643b2fb9bab1"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9b4dd2b6b3d24c85dffe33d6c343448869eaf4f41c19ddba662eb5d65d8808f4"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-win32.whl", hash = "sha256:92d734fb968fe3927a7596d9f0459f81a8fa7b07e16569476b28e27d0d753348"},
+ {file = "tree_sitter_languages-1.10.2-cp38-cp38-win_amd64.whl", hash = "sha256:46a13f7d38f2eeb75f7cf127d1201346093748c270d686131f0cbc50e42870a1"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f8c6a936ae99fdd8857e91f86c11c2f5e507ff30631d141d98132bb7ab2c8638"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c283a61423f49cdfa7b5a5dfbb39221e3bd126fca33479cd80749d4d7a6b7349"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76e60be6bdcff923386a54a5edcb6ff33fc38ab0118636a762024fa2bc98de55"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c00069f9575bd831eabcce2cdfab158dde1ed151e7e5614c2d985ff7d78a7de1"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:475ff53203d8a43ccb19bb322fa2fb200d764001cc037793f1fadd714bb343da"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26fe7c9c412e4141dea87ea4b3592fd12e385465b5bdab106b0d5125754d4f60"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:8fed27319957458340f24fe14daad467cd45021da034eef583519f83113a8c5e"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3657a491a7f96cc75a3568ddd062d25f3be82b6a942c68801a7b226ff7130181"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-win32.whl", hash = "sha256:33f7d584d01a7a3c893072f34cfc64ec031f3cfe57eebc32da2f8ac046e101a7"},
+ {file = "tree_sitter_languages-1.10.2-cp39-cp39-win_amd64.whl", hash = "sha256:1b944af3ee729fa70fc8ae82224a9ff597cdb63addea084e0ea2fa2b0ec39bb7"},
+]
+
+[package.dependencies]
+tree-sitter = "*"
+
+[[package]]
+name = "types-deprecated"
+version = "1.2.9.20240106"
+description = "Typing stubs for Deprecated"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "types-Deprecated-1.2.9.20240106.tar.gz", hash = "sha256:afeb819e9a03d0a5795f18c88fe6207c48ed13c639e93281bd9d9b7bb6d34310"},
+ {file = "types_Deprecated-1.2.9.20240106-py3-none-any.whl", hash = "sha256:9dcb258493b5be407574ee21e50ddac9e429072d39b576126bf1ac00764fb9a8"},
+]
+
+[[package]]
+name = "types-docutils"
+version = "0.20.0.20240201"
+description = "Typing stubs for docutils"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "types-docutils-0.20.0.20240201.tar.gz", hash = "sha256:ba4bfd4ff6dd19640ba7ab5d93900393a65897880f3650997964a943f4e79a6b"},
+ {file = "types_docutils-0.20.0.20240201-py3-none-any.whl", hash = "sha256:79d3bcef235f7c81a63f4f3dcf1d0b138985079bb32d02f5a7d266e1f9f361ba"},
+]
+
+[[package]]
+name = "types-protobuf"
+version = "4.24.0.20240129"
+description = "Typing stubs for protobuf"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "types-protobuf-4.24.0.20240129.tar.gz", hash = "sha256:8a83dd3b9b76a33e08d8636c5daa212ace1396418ed91837635fcd564a624891"},
+ {file = "types_protobuf-4.24.0.20240129-py3-none-any.whl", hash = "sha256:23be68cc29f3f5213b5c5878ac0151706182874040e220cfb11336f9ee642ead"},
+]
+
+[[package]]
+name = "types-pyopenssl"
+version = "24.0.0.20240130"
+description = "Typing stubs for pyOpenSSL"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "types-pyOpenSSL-24.0.0.20240130.tar.gz", hash = "sha256:c812e5c1c35249f75ef5935708b2a997d62abf9745be222e5f94b9595472ab25"},
+ {file = "types_pyOpenSSL-24.0.0.20240130-py3-none-any.whl", hash = "sha256:24a255458b5b8a7fca8139cf56f2a8ad5a4f1a5f711b73a5bb9cb50dc688fab5"},
+]
+
+[package.dependencies]
+cryptography = ">=35.0.0"
+
+[[package]]
+name = "types-python-dateutil"
+version = "2.8.19.20240106"
+description = "Typing stubs for python-dateutil"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "types-python-dateutil-2.8.19.20240106.tar.gz", hash = "sha256:1f8db221c3b98e6ca02ea83a58371b22c374f42ae5bbdf186db9c9a76581459f"},
+ {file = "types_python_dateutil-2.8.19.20240106-py3-none-any.whl", hash = "sha256:efbbdc54590d0f16152fa103c9879c7d4a00e82078f6e2cf01769042165acaa2"},
+]
+
+[[package]]
+name = "types-pyyaml"
+version = "6.0.12.12"
+description = "Typing stubs for PyYAML"
+optional = false
+python-versions = "*"
+files = [
+ {file = "types-PyYAML-6.0.12.12.tar.gz", hash = "sha256:334373d392fde0fdf95af5c3f1661885fa10c52167b14593eb856289e1855062"},
+ {file = "types_PyYAML-6.0.12.12-py3-none-any.whl", hash = "sha256:c05bc6c158facb0676674b7f11fe3960db4f389718e19e62bd2b84d6205cfd24"},
+]
+
+[[package]]
+name = "types-redis"
+version = "4.5.5.0"
+description = "Typing stubs for redis"
+optional = false
+python-versions = "*"
+files = [
+ {file = "types-redis-4.5.5.0.tar.gz", hash = "sha256:26547d91f011a4024375d9216cd4d917b4678c984201d46f72c604526c138523"},
+ {file = "types_redis-4.5.5.0-py3-none-any.whl", hash = "sha256:c7132e0cedeb52a83d20138c0440721bfae89cd2027c1ef57a294b56dfde4ee8"},
+]
+
+[package.dependencies]
+cryptography = ">=35.0.0"
+types-pyOpenSSL = "*"
+
+[[package]]
+name = "types-requests"
+version = "2.28.11.8"
+description = "Typing stubs for requests"
+optional = false
+python-versions = "*"
+files = [
+ {file = "types-requests-2.28.11.8.tar.gz", hash = "sha256:e67424525f84adfbeab7268a159d3c633862dafae15c5b19547ce1b55954f0a3"},
+ {file = "types_requests-2.28.11.8-py3-none-any.whl", hash = "sha256:61960554baca0008ae7e2db2bd3b322ca9a144d3e80ce270f5fb640817e40994"},
+]
+
+[package.dependencies]
+types-urllib3 = "<1.27"
+
+[[package]]
+name = "types-setuptools"
+version = "67.1.0.0"
+description = "Typing stubs for setuptools"
+optional = false
+python-versions = "*"
+files = [
+ {file = "types-setuptools-67.1.0.0.tar.gz", hash = "sha256:162a39d22e3a5eb802197c84f16b19e798101bbd33d9437837fbb45627da5627"},
+ {file = "types_setuptools-67.1.0.0-py3-none-any.whl", hash = "sha256:5bd7a10d93e468bfcb10d24cb8ea5e12ac4f4ac91267293959001f1448cf0619"},
+]
+
+[package.dependencies]
+types-docutils = "*"
+
+[[package]]
+name = "types-urllib3"
+version = "1.26.25.14"
+description = "Typing stubs for urllib3"
+optional = false
+python-versions = "*"
+files = [
+ {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
+ {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.9.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
+ {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
+]
+
+[[package]]
+name = "typing-inspect"
+version = "0.9.0"
+description = "Runtime inspection utilities for typing module."
+optional = false
+python-versions = "*"
+files = [
+ {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
+ {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
+]
+
+[package.dependencies]
+mypy-extensions = ">=0.3.0"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+ {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+ {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+]
+
+[[package]]
+name = "uri-template"
+version = "1.3.0"
+description = "RFC 6570 URI Template Processor"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
+ {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
+]
+
+[package.extras]
+dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"]
+
+[[package]]
+name = "urllib3"
+version = "2.2.0"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
+ {file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "virtualenv"
+version = "20.25.0"
+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
+ {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
+]
+
+[package.dependencies]
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<5"
+
+[package.extras]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+ {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+]
+
+[[package]]
+name = "webcolors"
+version = "1.13"
+description = "A library for working with the color formats defined by HTML and CSS."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"},
+ {file = "webcolors-1.13.tar.gz", hash = "sha256:c225b674c83fa923be93d235330ce0300373d02885cef23238813b0d5668304a"},
+]
+
+[package.extras]
+docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"]
+tests = ["pytest", "pytest-cov"]
+
+[[package]]
+name = "webencodings"
+version = "0.5.1"
+description = "Character encoding aliases for legacy web content"
+optional = false
+python-versions = "*"
+files = [
+ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
+ {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
+]
+
+[[package]]
+name = "websocket-client"
+version = "1.7.0"
+description = "WebSocket client for Python with low level API options"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
+ {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
+[[package]]
+name = "widgetsnbextension"
+version = "4.0.10"
+description = "Jupyter interactive widgets for Jupyter Notebook"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "widgetsnbextension-4.0.10-py3-none-any.whl", hash = "sha256:d37c3724ec32d8c48400a435ecfa7d3e259995201fbefa37163124a9fcb393cc"},
+ {file = "widgetsnbextension-4.0.10.tar.gz", hash = "sha256:64196c5ff3b9a9183a8e699a4227fb0b7002f252c814098e66c4d1cd0644688f"},
+]
+
+[[package]]
+name = "wrapt"
+version = "1.16.0"
+description = "Module for decorators, wrappers and monkey patching."
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "wrapt-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4"},
+ {file = "wrapt-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020"},
+ {file = "wrapt-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb2dee3874a500de01c93d5c71415fcaef1d858370d405824783e7a8ef5db440"},
+ {file = "wrapt-1.16.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a88e6010048489cda82b1326889ec075a8c856c2e6a256072b28eaee3ccf487"},
+ {file = "wrapt-1.16.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac83a914ebaf589b69f7d0a1277602ff494e21f4c2f743313414378f8f50a4cf"},
+ {file = "wrapt-1.16.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:73aa7d98215d39b8455f103de64391cb79dfcad601701a3aa0dddacf74911d72"},
+ {file = "wrapt-1.16.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:807cc8543a477ab7422f1120a217054f958a66ef7314f76dd9e77d3f02cdccd0"},
+ {file = "wrapt-1.16.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bf5703fdeb350e36885f2875d853ce13172ae281c56e509f4e6eca049bdfb136"},
+ {file = "wrapt-1.16.0-cp310-cp310-win32.whl", hash = "sha256:f6b2d0c6703c988d334f297aa5df18c45e97b0af3679bb75059e0e0bd8b1069d"},
+ {file = "wrapt-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:decbfa2f618fa8ed81c95ee18a387ff973143c656ef800c9f24fb7e9c16054e2"},
+ {file = "wrapt-1.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1a5db485fe2de4403f13fafdc231b0dbae5eca4359232d2efc79025527375b09"},
+ {file = "wrapt-1.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:75ea7d0ee2a15733684badb16de6794894ed9c55aa5e9903260922f0482e687d"},
+ {file = "wrapt-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a452f9ca3e3267cd4d0fcf2edd0d035b1934ac2bd7e0e57ac91ad6b95c0c6389"},
+ {file = "wrapt-1.16.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:43aa59eadec7890d9958748db829df269f0368521ba6dc68cc172d5d03ed8060"},
+ {file = "wrapt-1.16.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72554a23c78a8e7aa02abbd699d129eead8b147a23c56e08d08dfc29cfdddca1"},
+ {file = "wrapt-1.16.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d2efee35b4b0a347e0d99d28e884dfd82797852d62fcd7ebdeee26f3ceb72cf3"},
+ {file = "wrapt-1.16.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:6dcfcffe73710be01d90cae08c3e548d90932d37b39ef83969ae135d36ef3956"},
+ {file = "wrapt-1.16.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:eb6e651000a19c96f452c85132811d25e9264d836951022d6e81df2fff38337d"},
+ {file = "wrapt-1.16.0-cp311-cp311-win32.whl", hash = "sha256:66027d667efe95cc4fa945af59f92c5a02c6f5bb6012bff9e60542c74c75c362"},
+ {file = "wrapt-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:aefbc4cb0a54f91af643660a0a150ce2c090d3652cf4052a5397fb2de549cd89"},
+ {file = "wrapt-1.16.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5eb404d89131ec9b4f748fa5cfb5346802e5ee8836f57d516576e61f304f3b7b"},
+ {file = "wrapt-1.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9090c9e676d5236a6948330e83cb89969f433b1943a558968f659ead07cb3b36"},
+ {file = "wrapt-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94265b00870aa407bd0cbcfd536f17ecde43b94fb8d228560a1e9d3041462d73"},
+ {file = "wrapt-1.16.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2058f813d4f2b5e3a9eb2eb3faf8f1d99b81c3e51aeda4b168406443e8ba809"},
+ {file = "wrapt-1.16.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98b5e1f498a8ca1858a1cdbffb023bfd954da4e3fa2c0cb5853d40014557248b"},
+ {file = "wrapt-1.16.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:14d7dc606219cdd7405133c713f2c218d4252f2a469003f8c46bb92d5d095d81"},
+ {file = "wrapt-1.16.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:49aac49dc4782cb04f58986e81ea0b4768e4ff197b57324dcbd7699c5dfb40b9"},
+ {file = "wrapt-1.16.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:418abb18146475c310d7a6dc71143d6f7adec5b004ac9ce08dc7a34e2babdc5c"},
+ {file = "wrapt-1.16.0-cp312-cp312-win32.whl", hash = "sha256:685f568fa5e627e93f3b52fda002c7ed2fa1800b50ce51f6ed1d572d8ab3e7fc"},
+ {file = "wrapt-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:dcdba5c86e368442528f7060039eda390cc4091bfd1dca41e8046af7c910dda8"},
+ {file = "wrapt-1.16.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:d462f28826f4657968ae51d2181a074dfe03c200d6131690b7d65d55b0f360f8"},
+ {file = "wrapt-1.16.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a33a747400b94b6d6b8a165e4480264a64a78c8a4c734b62136062e9a248dd39"},
+ {file = "wrapt-1.16.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b3646eefa23daeba62643a58aac816945cadc0afaf21800a1421eeba5f6cfb9c"},
+ {file = "wrapt-1.16.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ebf019be5c09d400cf7b024aa52b1f3aeebeff51550d007e92c3c1c4afc2a40"},
+ {file = "wrapt-1.16.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:0d2691979e93d06a95a26257adb7bfd0c93818e89b1406f5a28f36e0d8c1e1fc"},
+ {file = "wrapt-1.16.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:1acd723ee2a8826f3d53910255643e33673e1d11db84ce5880675954183ec47e"},
+ {file = "wrapt-1.16.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:bc57efac2da352a51cc4658878a68d2b1b67dbe9d33c36cb826ca449d80a8465"},
+ {file = "wrapt-1.16.0-cp36-cp36m-win32.whl", hash = "sha256:da4813f751142436b075ed7aa012a8778aa43a99f7b36afe9b742d3ed8bdc95e"},
+ {file = "wrapt-1.16.0-cp36-cp36m-win_amd64.whl", hash = "sha256:6f6eac2360f2d543cc875a0e5efd413b6cbd483cb3ad7ebf888884a6e0d2e966"},
+ {file = "wrapt-1.16.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a0ea261ce52b5952bf669684a251a66df239ec6d441ccb59ec7afa882265d593"},
+ {file = "wrapt-1.16.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bd2d7ff69a2cac767fbf7a2b206add2e9a210e57947dd7ce03e25d03d2de292"},
+ {file = "wrapt-1.16.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9159485323798c8dc530a224bd3ffcf76659319ccc7bbd52e01e73bd0241a0c5"},
+ {file = "wrapt-1.16.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a86373cf37cd7764f2201b76496aba58a52e76dedfaa698ef9e9688bfd9e41cf"},
+ {file = "wrapt-1.16.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:73870c364c11f03ed072dda68ff7aea6d2a3a5c3fe250d917a429c7432e15228"},
+ {file = "wrapt-1.16.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:b935ae30c6e7400022b50f8d359c03ed233d45b725cfdd299462f41ee5ffba6f"},
+ {file = "wrapt-1.16.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:db98ad84a55eb09b3c32a96c576476777e87c520a34e2519d3e59c44710c002c"},
+ {file = "wrapt-1.16.0-cp37-cp37m-win32.whl", hash = "sha256:9153ed35fc5e4fa3b2fe97bddaa7cbec0ed22412b85bcdaf54aeba92ea37428c"},
+ {file = "wrapt-1.16.0-cp37-cp37m-win_amd64.whl", hash = "sha256:66dfbaa7cfa3eb707bbfcd46dab2bc6207b005cbc9caa2199bcbc81d95071a00"},
+ {file = "wrapt-1.16.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1dd50a2696ff89f57bd8847647a1c363b687d3d796dc30d4dd4a9d1689a706f0"},
+ {file = "wrapt-1.16.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:44a2754372e32ab315734c6c73b24351d06e77ffff6ae27d2ecf14cf3d229202"},
+ {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e9723528b9f787dc59168369e42ae1c3b0d3fadb2f1a71de14531d321ee05b0"},
+ {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbed418ba5c3dce92619656802cc5355cb679e58d0d89b50f116e4a9d5a9603e"},
+ {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:941988b89b4fd6b41c3f0bfb20e92bd23746579736b7343283297c4c8cbae68f"},
+ {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6a42cd0cfa8ffc1915aef79cb4284f6383d8a3e9dcca70c445dcfdd639d51267"},
+ {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ca9b6085e4f866bd584fb135a041bfc32cab916e69f714a7d1d397f8c4891ca"},
+ {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d5e49454f19ef621089e204f862388d29e6e8d8b162efce05208913dde5b9ad6"},
+ {file = "wrapt-1.16.0-cp38-cp38-win32.whl", hash = "sha256:c31f72b1b6624c9d863fc095da460802f43a7c6868c5dda140f51da24fd47d7b"},
+ {file = "wrapt-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:490b0ee15c1a55be9c1bd8609b8cecd60e325f0575fc98f50058eae366e01f41"},
+ {file = "wrapt-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9b201ae332c3637a42f02d1045e1d0cccfdc41f1f2f801dafbaa7e9b4797bfc2"},
+ {file = "wrapt-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2076fad65c6736184e77d7d4729b63a6d1ae0b70da4868adeec40989858eb3fb"},
+ {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5cd603b575ebceca7da5a3a251e69561bec509e0b46e4993e1cac402b7247b8"},
+ {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b47cfad9e9bbbed2339081f4e346c93ecd7ab504299403320bf85f7f85c7d46c"},
+ {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a"},
+ {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5f15814a33e42b04e3de432e573aa557f9f0f56458745c2074952f564c50e664"},
+ {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db2e408d983b0e61e238cf579c09ef7020560441906ca990fe8412153e3b291f"},
+ {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537"},
+ {file = "wrapt-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3"},
+ {file = "wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35"},
+ {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
+ {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
+]
+
+[[package]]
+name = "yarl"
+version = "1.9.4"
+description = "Yet another URL library"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
+ {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
+ {file = "yarl-1.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c38c9ddb6103ceae4e4498f9c08fac9b590c5c71b0370f98714768e22ac6fa66"},
+ {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9e09c9d74f4566e905a0b8fa668c58109f7624db96a2171f21747abc7524234"},
+ {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8477c1ee4bd47c57d49621a062121c3023609f7a13b8a46953eb6c9716ca392"},
+ {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5ff2c858f5f6a42c2a8e751100f237c5e869cbde669a724f2062d4c4ef93551"},
+ {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:357495293086c5b6d34ca9616a43d329317feab7917518bc97a08f9e55648455"},
+ {file = "yarl-1.9.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54525ae423d7b7a8ee81ba189f131054defdb122cde31ff17477951464c1691c"},
+ {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:801e9264d19643548651b9db361ce3287176671fb0117f96b5ac0ee1c3530d53"},
+ {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385"},
+ {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:7d5aaac37d19b2904bb9dfe12cdb08c8443e7ba7d2852894ad448d4b8f442863"},
+ {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:54beabb809ffcacbd9d28ac57b0db46e42a6e341a030293fb3185c409e626b8b"},
+ {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bac8d525a8dbc2a1507ec731d2867025d11ceadcb4dd421423a5d42c56818541"},
+ {file = "yarl-1.9.4-cp310-cp310-win32.whl", hash = "sha256:7855426dfbddac81896b6e533ebefc0af2f132d4a47340cee6d22cac7190022d"},
+ {file = "yarl-1.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:848cd2a1df56ddbffeb375535fb62c9d1645dde33ca4d51341378b3f5954429b"},
+ {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:35a2b9396879ce32754bd457d31a51ff0a9d426fd9e0e3c33394bf4b9036b099"},
+ {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c7d56b293cc071e82532f70adcbd8b61909eec973ae9d2d1f9b233f3d943f2c"},
+ {file = "yarl-1.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d8a1c6c0be645c745a081c192e747c5de06e944a0d21245f4cf7c05e457c36e0"},
+ {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b3c1ffe10069f655ea2d731808e76e0f452fc6c749bea04781daf18e6039525"},
+ {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:549d19c84c55d11687ddbd47eeb348a89df9cb30e1993f1b128f4685cd0ebbf8"},
+ {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a7409f968456111140c1c95301cadf071bd30a81cbd7ab829169fb9e3d72eae9"},
+ {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42"},
+ {file = "yarl-1.9.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d8b889777de69897406c9fb0b76cdf2fd0f31267861ae7501d93003d55f54fbe"},
+ {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:03caa9507d3d3c83bca08650678e25364e1843b484f19986a527630ca376ecce"},
+ {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e9035df8d0880b2f1c7f5031f33f69e071dfe72ee9310cfc76f7b605958ceb9"},
+ {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:c0ec0ed476f77db9fb29bca17f0a8fcc7bc97ad4c6c1d8959c507decb22e8572"},
+ {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958"},
+ {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:49a180c2e0743d5d6e0b4d1a9e5f633c62eca3f8a86ba5dd3c471060e352ca98"},
+ {file = "yarl-1.9.4-cp311-cp311-win32.whl", hash = "sha256:81eb57278deb6098a5b62e88ad8281b2ba09f2f1147c4767522353eaa6260b31"},
+ {file = "yarl-1.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:d1d2532b340b692880261c15aee4dc94dd22ca5d61b9db9a8a361953d36410b1"},
+ {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0d2454f0aef65ea81037759be5ca9947539667eecebca092733b2eb43c965a81"},
+ {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:44d8ffbb9c06e5a7f529f38f53eda23e50d1ed33c6c869e01481d3fafa6b8142"},
+ {file = "yarl-1.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:aaaea1e536f98754a6e5c56091baa1b6ce2f2700cc4a00b0d49eca8dea471074"},
+ {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3777ce5536d17989c91696db1d459574e9a9bd37660ea7ee4d3344579bb6f129"},
+ {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fc5fc1eeb029757349ad26bbc5880557389a03fa6ada41703db5e068881e5f2"},
+ {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78"},
+ {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa102d6d280a5455ad6a0f9e6d769989638718e938a6a0a2ff3f4a7ff8c62cc4"},
+ {file = "yarl-1.9.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09efe4615ada057ba2d30df871d2f668af661e971dfeedf0c159927d48bbeff0"},
+ {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:008d3e808d03ef28542372d01057fd09168419cdc8f848efe2804f894ae03e51"},
+ {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6f5cb257bc2ec58f437da2b37a8cd48f666db96d47b8a3115c29f316313654ff"},
+ {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:992f18e0ea248ee03b5a6e8b3b4738850ae7dbb172cc41c966462801cbf62cf7"},
+ {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0e9d124c191d5b881060a9e5060627694c3bdd1fe24c5eecc8d5d7d0eb6faabc"},
+ {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3986b6f41ad22988e53d5778f91855dc0399b043fc8946d4f2e68af22ee9ff10"},
+ {file = "yarl-1.9.4-cp312-cp312-win32.whl", hash = "sha256:4b21516d181cd77ebd06ce160ef8cc2a5e9ad35fb1c5930882baff5ac865eee7"},
+ {file = "yarl-1.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:a9bd00dc3bc395a662900f33f74feb3e757429e545d831eef5bb280252631984"},
+ {file = "yarl-1.9.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:63b20738b5aac74e239622d2fe30df4fca4942a86e31bf47a81a0e94c14df94f"},
+ {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d7f7de27b8944f1fee2c26a88b4dabc2409d2fea7a9ed3df79b67277644e17"},
+ {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c74018551e31269d56fab81a728f683667e7c28c04e807ba08f8c9e3bba32f14"},
+ {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ca06675212f94e7a610e85ca36948bb8fc023e458dd6c63ef71abfd482481aa5"},
+ {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5aef935237d60a51a62b86249839b51345f47564208c6ee615ed2a40878dccdd"},
+ {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b134fd795e2322b7684155b7855cc99409d10b2e408056db2b93b51a52accc7"},
+ {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d25039a474c4c72a5ad4b52495056f843a7ff07b632c1b92ea9043a3d9950f6e"},
+ {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"},
+ {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:957b4774373cf6f709359e5c8c4a0af9f6d7875db657adb0feaf8d6cb3c3964c"},
+ {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d7eeb6d22331e2fd42fce928a81c697c9ee2d51400bd1a28803965883e13cead"},
+ {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:6a962e04b8f91f8c4e5917e518d17958e3bdee71fd1d8b88cdce74dd0ebbf434"},
+ {file = "yarl-1.9.4-cp37-cp37m-win32.whl", hash = "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749"},
+ {file = "yarl-1.9.4-cp37-cp37m-win_amd64.whl", hash = "sha256:ad4d7a90a92e528aadf4965d685c17dacff3df282db1121136c382dc0b6014d2"},
+ {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be"},
+ {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8be9e837ea9113676e5754b43b940b50cce76d9ed7d2461df1af39a8ee674d9f"},
+ {file = "yarl-1.9.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bef596fdaa8f26e3d66af846bbe77057237cb6e8efff8cd7cc8dff9a62278bbf"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d47552b6e52c3319fede1b60b3de120fe83bde9b7bddad11a69fb0af7db32f1"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa9741085f635934f3a2583e16fcf62ba835719a8b2b28fb2917bb0537c1dfa"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:206a55215e6d05dbc6c98ce598a59e6fbd0c493e2de4ea6cc2f4934d5a18d130"},
+ {file = "yarl-1.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07574b007ee20e5c375a8fe4a0789fad26db905f9813be0f9fef5a68080de559"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5a2e2433eb9344a163aced6a5f6c9222c0786e5a9e9cac2c89f0b28433f56e23"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be"},
+ {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3"},
+ {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+ {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:604f31d97fa493083ea21bd9b92c419012531c4e17ea6da0f65cacdcf5d0bd27"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+ {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+ {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+ {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+ {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+ {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+ {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+ {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[[package]]
+name = "zipp"
+version = "3.17.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+ {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.8.1,<3.12"
+content-hash = "7ab69eb4dda231058ab17bf5c4462218f11b773266c08490f1c81341ad344314"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml
new file mode 100644
index 0000000000..ee2ab76892
--- /dev/null
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml
@@ -0,0 +1,50 @@
+[build-system]
+build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core"]
+
+[tool.codespell]
+check-filenames = true
+check-hidden = true
+# Feel free to un-skip examples, and experimental, you will just need to
+# work through many typos (--write-changes and --interactive will help)
+skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
+
+[tool.mypy]
+disallow_untyped_defs = true
+# Remove venv skip when integrated with pre-commit
+exclude = ["_static", "build", "examples", "notebooks", "venv"]
+ignore_missing_imports = true
+python_version = "3.8"
+
+[tool.poetry]
+authors = ["Logan Markewich <logan@llamaindex.ai>"]
+description = "llama-index indices llama-cloud integration"
+license = "MIT"
+name = "llama-index-indices-llama-cloud"
+packages = [{include = "llama_index/"}]
+readme = "README.md"
+version = "0.1.0"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<3.12"
+llama-index-core = "^0.10.0"
+llamaindex-py-client = "^0.1.9"
+
+[tool.poetry.group.dev.dependencies]
+black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
+codespell = {extras = ["toml"], version = ">=v2.2.6"}
+ipython = "8.10.0"
+jupyter = "^1.0.0"
+mypy = "0.991"
+pre-commit = "3.2.0"
+pylint = "2.15.10"
+pytest = "7.2.1"
+pytest-mock = "3.11.1"
+ruff = "0.0.292"
+tree-sitter-languages = "^1.8.0"
+types-Deprecated = ">=0.1.0"
+types-PyYAML = "^6.0.12.12"
+types-protobuf = "^4.24.0.4"
+types-redis = "4.5.5.0"
+types-requests = "2.28.11.8" # TODO: unpin when mypy>0.991
+types-setuptools = "67.1.0.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py b/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py
index 7face5bc26..ed76fec77c 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py
+++ b/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py
@@ -140,7 +140,6 @@ def test_serialization() -> None:
serialized = llm.to_dict()
# Check OpenAI base class specifics
- assert "api_key" not in serialized
assert serialized["max_tokens"] == 42
# Check OpenAILike subclass specifics
assert serialized["context_window"] == 43
diff --git a/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py b/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py
index 6ac3fc7232..1a8da01a33 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py
@@ -111,7 +111,7 @@ class OpenAI(LLM):
),
)
- api_key: str = Field(default=None, description="The OpenAI API key.", exclude=True)
+ api_key: str = Field(default=None, description="The OpenAI API key.")
api_base: str = Field(description="The base URL for OpenAI API.")
api_version: str = Field(description="The API version for OpenAI API.")
diff --git a/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml
index 7360eec55d..a73ec5a710 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml
@@ -8,7 +8,7 @@ check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
-classes = ["AsyncOpenAI", "OpenAI", "SyncOpenAI", "Tokenizer"]
+classes = ["OpenAI"]
contains_example = false
import_path = "llama_index.llms.openai"
@@ -24,7 +24,7 @@ description = "llama-index llms openai integration"
license = "MIT"
name = "llama-index-llms-openai"
readme = "README.md"
-version = "0.1.1"
+version = "0.1.2"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
diff --git a/llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py b/llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py
index d851930117..57b3314fbc 100644
--- a/llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-notion/llama_index/readers/notion/base.py
@@ -4,7 +4,7 @@ import os
from typing import Any, Dict, List, Optional
import requests # type: ignore
-from llama_index.core.readers.base import BaseReader
+from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
INTEGRATION_TOKEN_NAME = "NOTION_INTEGRATION_TOKEN"
@@ -14,7 +14,7 @@ SEARCH_URL = "https://api.notion.com/v1/search"
# TODO: Notion DB reader coming soon!
-class NotionPageReader(BaseReader):
+class NotionPageReader(BasePydanticReader):
"""Notion Page reader.
Reads a set of Notion pages.
@@ -24,6 +24,10 @@ class NotionPageReader(BaseReader):
"""
+ is_remote: bool = True
+ token: str
+ headers: Dict[str, str]
+
def __init__(self, integration_token: Optional[str] = None) -> None:
"""Initialize with parameters."""
if integration_token is None:
@@ -33,13 +37,16 @@ class NotionPageReader(BaseReader):
"Must specify `integration_token` or set environment "
"variable `NOTION_INTEGRATION_TOKEN`."
)
- self.token = integration_token
- self.headers = {
+
+ token = integration_token
+ headers = {
"Authorization": "Bearer " + self.token,
"Content-Type": "application/json",
"Notion-Version": "2022-06-28",
}
+ super().__init__(token=token, headers=headers)
+
def _read_block(self, block_id: str, num_tabs: int = 0) -> str:
"""Read a block."""
done = False
diff --git a/llama-index-integrations/readers/llama-index-readers-twitter/llama_index/readers/twitter/base.py b/llama-index-integrations/readers/llama-index-readers-twitter/llama_index/readers/twitter/base.py
index f2cc92f451..80e25f11b2 100644
--- a/llama-index-integrations/readers/llama-index-readers-twitter/llama_index/readers/twitter/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-twitter/llama_index/readers/twitter/base.py
@@ -69,5 +69,5 @@ class TwitterTweetReader(BasePydanticReader):
response = " "
for tweet in tweets.data:
response = response + tweet.text + "\n"
- results.append(Document(text=response))
+ results.append(Document(text=response, id_=username))
return results
diff --git a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/beautiful_soup_web/base.py b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/beautiful_soup_web/base.py
index 4a9d6fe1eb..1758752c69 100644
--- a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/beautiful_soup_web/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/beautiful_soup_web/base.py
@@ -4,7 +4,7 @@ import logging
from typing import Any, Callable, Dict, List, Optional, Tuple
from urllib.parse import urljoin
-from llama_index.core.readers.base import BaseReader
+from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
logger = logging.getLogger(__name__)
@@ -131,7 +131,7 @@ DEFAULT_WEBSITE_EXTRACTOR: Dict[
}
-class BeautifulSoupWebReader(BaseReader):
+class BeautifulSoupWebReader(BasePydanticReader):
"""BeautifulSoup web page reader.
Reads pages from the web.
@@ -143,12 +143,8 @@ class BeautifulSoupWebReader(BaseReader):
extract text from the BeautifulSoup obj. See DEFAULT_WEBSITE_EXTRACTOR.
"""
- def __init__(
- self,
- website_extractor: Optional[Dict[str, Callable]] = None,
- ) -> None:
- """Initialize with parameters."""
- self.website_extractor = website_extractor or DEFAULT_WEBSITE_EXTRACTOR
+ is_remote: bool = True
+ website_extractor: Dict[str, Callable] = DEFAULT_WEBSITE_EXTRACTOR
def load_data(
self,
@@ -195,6 +191,6 @@ class BeautifulSoupWebReader(BaseReader):
else:
data = soup.getText()
- documents.append(Document(text=data, extra_info=extra_info))
+ documents.append(Document(text=data, id_=url, extra_info=extra_info))
return documents
diff --git a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss/base.py b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss/base.py
index 5238de4c11..db419d4a65 100644
--- a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/rss/base.py
@@ -2,40 +2,23 @@
from typing import List
-from llama_index.core.readers.base import BaseReader
+from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
-class RssReader(BaseReader):
+class RssReader(BasePydanticReader):
"""RSS reader.
Reads content from an RSS feed.
"""
- def __init__(self, html_to_text: bool = False) -> None:
- """Initialize with parameters.
+ is_remote: bool = True
+ html_to_text: bool = False
- Args:
- html_to_text (bool): Whether to convert HTML to text.
- Requires `html2text` package.
-
- """
- try:
- import feedparser # noqa: F401
- except ImportError:
- raise ValueError(
- "`feedparser` package not found, please run `pip install feedparser`"
- )
-
- if html_to_text:
- try:
- import html2text # noqa: F401
- except ImportError:
- raise ValueError(
- "`html2text` package not found, please run `pip install html2text`"
- )
- self._html_to_text = html_to_text
+ @classmethod
+ def class_name(cls) -> str:
+ return "RssReader"
def load_data(self, urls: List[str]) -> List[Document]:
"""Load data from RSS feeds.
@@ -57,17 +40,18 @@ class RssReader(BaseReader):
for url in urls:
parsed = feedparser.parse(url)
for entry in parsed.entries:
+ doc_id = entry.id or entry.link
if "content" in entry:
data = entry.content[0].value
else:
data = entry.description or entry.summary
- if self._html_to_text:
+ if self.html_to_text:
import html2text
data = html2text.html2text(data)
extra_info = {"title": entry.title, "link": entry.link}
- documents.append(Document(text=data, extra_info=extra_info))
+ documents.append(Document(text=data, id_=doc_id, extra_info=extra_info))
return documents
diff --git a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/simple_web/base.py b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/simple_web/base.py
index ccd2d0c46c..e19e485ce1 100644
--- a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/simple_web/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/simple_web/base.py
@@ -1,12 +1,14 @@
"""Simple Web scraper."""
-from typing import List
+from typing import List, Optional, Dict, Callable
import requests
-from llama_index.core.readers.base import BaseReader
+
+from llama_index.core.bridge.pydantic import PrivateAttr
+from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
-class SimpleWebPageReader(BaseReader):
+class SimpleWebPageReader(BasePydanticReader):
"""Simple web page reader.
Reads pages from the web.
@@ -14,12 +16,34 @@ class SimpleWebPageReader(BaseReader):
Args:
html_to_text (bool): Whether to convert HTML to text.
Requires `html2text` package.
-
+ metadata_fn (Optional[Callable[[str], Dict]]): A function that takes in
+ a URL and returns a dictionary of metadata.
+ Default is None.
"""
- def __init__(self, html_to_text: bool = False) -> None:
+ is_remote: bool = True
+ html_to_text: bool
+
+ _metadata_fn: Optional[Callable[[str], Dict]] = PrivateAttr()
+
+ def __init__(
+ self,
+ html_to_text: bool = False,
+ metadata_fn: Optional[Callable[[str], Dict]] = None,
+ ) -> None:
"""Initialize with parameters."""
- self._html_to_text = html_to_text
+ try:
+ import html2text # noqa
+ except ImportError:
+ raise ImportError(
+ "`html2text` package not found, please run `pip install html2text`"
+ )
+ self._metadata_fn = metadata_fn
+ super().__init__(html_to_text=html_to_text)
+
+ @classmethod
+ def class_name(cls) -> str:
+ return "SimpleWebPageReader"
def load_data(self, urls: List[str]) -> List[Document]:
"""Load data from the input directory.
@@ -33,15 +57,18 @@ class SimpleWebPageReader(BaseReader):
"""
if not isinstance(urls, list):
raise ValueError("urls must be a list of strings.")
-
documents = []
for url in urls:
- response = requests.get(url).text
- if self._html_to_text:
+ response = requests.get(url, headers=None).text
+ if self.html_to_text:
import html2text
response = html2text.html2text(response)
- documents.append(Document(text=response))
+ metadata: Optional[Dict] = None
+ if self._metadata_fn is not None:
+ metadata = self._metadata_fn(url)
+
+ documents.append(Document(text=response, id_=url, metadata=metadata or {}))
return documents
diff --git a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/trafilatura_web/base.py b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/trafilatura_web/base.py
index 1ccaf4ec5e..0e64d6b8e4 100644
--- a/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/trafilatura_web/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/trafilatura_web/base.py
@@ -1,11 +1,10 @@
-from importlib.util import find_spec
from typing import List
-from llama_index.core.readers.base import BaseReader
+from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
-class TrafilaturaWebReader(BaseReader):
+class TrafilaturaWebReader(BasePydanticReader):
"""Trafilatura web page reader.
Reads pages from the web.
@@ -13,12 +12,7 @@ class TrafilaturaWebReader(BaseReader):
"""
- def __init__(self) -> None:
- if find_spec("trafilatura") is None:
- raise ImportError(
- "Missing package: trafilatura.\n"
- "Please `pip install trafilatura` to use this Reader"
- )
+ is_remote: bool = True
def load_data(
self,
@@ -61,6 +55,6 @@ class TrafilaturaWebReader(BaseReader):
include_formatting=include_formatting,
include_links=include_links,
)
- documents.append(Document(text=response))
+ documents.append(Document(text=response, id_=url))
return documents
diff --git a/llama-index-integrations/readers/llama-index-readers-youtube-transcript/llama_index/readers/youtube_transcript/base.py b/llama-index-integrations/readers/llama-index-readers-youtube-transcript/llama_index/readers/youtube_transcript/base.py
index 02a1b1c5ed..235c5c66a6 100644
--- a/llama-index-integrations/readers/llama-index-readers-youtube-transcript/llama_index/readers/youtube_transcript/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-youtube-transcript/llama_index/readers/youtube_transcript/base.py
@@ -1,23 +1,18 @@
"""Simple Reader that reads transcript of youtube video."""
import re
-from importlib.util import find_spec
from typing import Any, List, Optional
-from llama_index.core.readers.base import BaseReader
+from youtube_transcript_api import YouTubeTranscriptApi
+
+from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
from llama_index.readers.youtube_transcript.utils import YOUTUBE_URL_PATTERNS
-class YoutubeTranscriptReader(BaseReader):
+class YoutubeTranscriptReader(BasePydanticReader):
"""Youtube Transcript reader."""
- def __init__(self) -> None:
- if find_spec("youtube_transcript_api") is None:
- raise ImportError(
- "Missing package: youtube_transcript_api.\n"
- "Please `pip install youtube_transcript_api` to use this Reader"
- )
- super().__init__()
+ is_remote: bool = True
def load_data(
self,
@@ -32,8 +27,6 @@ class YoutubeTranscriptReader(BaseReader):
for which transcripts are to be read.
"""
- from youtube_transcript_api import YouTubeTranscriptApi
-
results = []
for link in ytlinks:
video_id = self._extract_video_id(link)
@@ -52,7 +45,11 @@ class YoutubeTranscriptReader(BaseReader):
)
chunk_text = [chunk["text"] for chunk in transcript_chunks]
transcript = "\n".join(chunk_text)
- results.append(Document(text=transcript, extra_info={"video_id": video_id}))
+ results.append(
+ Document(
+ text=transcript, id_=video_id, extra_info={"video_id": video_id}
+ )
+ )
return results
@staticmethod
diff --git a/llama-index-legacy/tests/ingestion/test_pipeline.py b/llama-index-legacy/tests/ingestion/test_pipeline.py
index 3a7302c894..a41e002549 100644
--- a/llama-index-legacy/tests/ingestion/test_pipeline.py
+++ b/llama-index-legacy/tests/ingestion/test_pipeline.py
@@ -1,162 +1,45 @@
-from multiprocessing import cpu_count
+from typing import Any, Dict
-from llama_index.legacy.embeddings import OpenAIEmbedding
-from llama_index.legacy.extractors import KeywordExtractor
-from llama_index.legacy.ingestion.pipeline import IngestionPipeline
-from llama_index.legacy.llms import MockLLM
-from llama_index.legacy.node_parser import SentenceSplitter
-from llama_index.legacy.readers import ReaderConfig, StringIterableReader
-from llama_index.legacy.schema import Document
-from llama_index.legacy.storage.docstore import SimpleDocumentStore
+from llama_index.legacy.embeddings import (
+ HuggingFaceEmbedding,
+ OpenAIEmbedding,
+)
+from llama_index.legacy.embeddings.utils import resolve_embed_model
+from llama_index.legacy.token_counter.mock_embed_model import MockEmbedding
+from pytest import MonkeyPatch
-# clean up folders after tests
-def teardown_function() -> None:
- import shutil
+def mock_hf_embeddings(*args: Any, **kwargs: Dict[str, Any]) -> Any:
+ """Mock HuggingFaceEmbeddings."""
+ return
- shutil.rmtree("./test_pipeline", ignore_errors=True)
-
-def test_build_pipeline() -> None:
- pipeline = IngestionPipeline(
- reader=ReaderConfig(
- reader=StringIterableReader(), reader_kwargs={"texts": ["This is a test."]}
- ),
- documents=[Document.example()],
- transformations=[
- SentenceSplitter(),
- KeywordExtractor(llm=MockLLM()),
- OpenAIEmbedding(api_key="fake"),
- ],
- )
-
- assert len(pipeline.transformations) == 3
-
-
-def test_run_pipeline() -> None:
- pipeline = IngestionPipeline(
- reader=ReaderConfig(
- reader=StringIterableReader(), reader_kwargs={"texts": ["This is a test."]}
- ),
- documents=[Document.example()],
- transformations=[
- SentenceSplitter(),
- KeywordExtractor(llm=MockLLM()),
- ],
- )
-
- nodes = pipeline.run()
-
- assert len(nodes) == 2
- assert len(nodes[0].metadata) > 0
-
-
-def test_save_load_pipeline() -> None:
- documents = [
- Document(text="one", doc_id="1"),
- Document(text="two", doc_id="2"),
- Document(text="one", doc_id="1"),
- ]
-
- pipeline = IngestionPipeline(
- transformations=[
- SentenceSplitter(chunk_size=25, chunk_overlap=0),
- ],
- docstore=SimpleDocumentStore(),
- )
-
- nodes = pipeline.run(documents=documents)
- assert len(nodes) == 2
- assert pipeline.docstore is not None
- assert len(pipeline.docstore.docs) == 2
-
- # dedup will catch the last node
- nodes = pipeline.run(documents=[documents[-1]])
- assert len(nodes) == 0
- assert pipeline.docstore is not None
- assert len(pipeline.docstore.docs) == 2
-
- # test save/load
- pipeline.persist("./test_pipeline")
-
- pipeline2 = IngestionPipeline(
- transformations=[
- SentenceSplitter(chunk_size=25, chunk_overlap=0),
- ],
- )
-
- pipeline2.load("./test_pipeline")
-
- # dedup will catch the last node
- nodes = pipeline.run(documents=[documents[-1]])
- assert len(nodes) == 0
- assert pipeline.docstore is not None
- assert len(pipeline.docstore.docs) == 2
+def mock_openai_embeddings(*args: Any, **kwargs: Dict[str, Any]) -> Any:
+ """Mock OpenAIEmbedding."""
+ return
-def test_pipeline_update() -> None:
- document1 = Document.example()
- document1.id_ = "1"
-
- pipeline = IngestionPipeline(
- transformations=[
- SentenceSplitter(chunk_size=25, chunk_overlap=0),
- ],
- docstore=SimpleDocumentStore(),
+def test_resolve_embed_model(monkeypatch: MonkeyPatch) -> None:
+ monkeypatch.setattr(
+ "llama_index.legacy.embeddings.huggingface.HuggingFaceEmbedding.__init__",
+ mock_hf_embeddings,
)
-
- nodes = pipeline.run(documents=[document1])
- assert len(nodes) == 19
- assert pipeline.docstore is not None
- assert len(pipeline.docstore.docs) == 1
-
- # adjust document content
- document1 = Document(text="test", doc_id="1")
-
- # run pipeline again
- nodes = pipeline.run(documents=[document1])
-
- assert len(nodes) == 1
- assert pipeline.docstore is not None
- assert len(pipeline.docstore.docs) == 1
- assert next(iter(pipeline.docstore.docs.values())).text == "test" # type: ignore
-
-
-def test_pipeline_dedup_duplicates_only() -> None:
- documents = [
- Document(text="one", doc_id="1"),
- Document(text="two", doc_id="2"),
- Document(text="three", doc_id="3"),
- ]
-
- pipeline = IngestionPipeline(
- transformations=[
- SentenceSplitter(chunk_size=25, chunk_overlap=0),
- ],
- docstore=SimpleDocumentStore(),
+ monkeypatch.setattr(
+ "llama_index.legacy.embeddings.OpenAIEmbedding.__init__", mock_openai_embeddings
)
- nodes = pipeline.run(documents=documents)
- assert len(nodes) == 3
+ # Test None
+ embed_model = resolve_embed_model(None)
+ assert isinstance(embed_model, MockEmbedding)
- nodes = pipeline.run(documents=documents)
- assert len(nodes) == 0
+ # Test str
+ embed_model = resolve_embed_model("local")
+ assert isinstance(embed_model, HuggingFaceEmbedding)
+ # Test LCEmbeddings
+ embed_model = resolve_embed_model(HuggingFaceEmbedding())
+ assert isinstance(embed_model, HuggingFaceEmbedding)
-def test_pipeline_parallel() -> None:
- document1 = Document.example()
- document1.id_ = "1"
- document2 = Document(text="One\n\n\nTwo\n\n\nThree.", doc_id="2")
-
- pipeline = IngestionPipeline(
- transformations=[
- SentenceSplitter(chunk_size=25, chunk_overlap=0),
- ],
- docstore=SimpleDocumentStore(),
- )
-
- num_workers = min(2, cpu_count())
- nodes = pipeline.run(documents=[document1, document2], num_workers=num_workers)
- assert len(nodes) == 20
- assert pipeline.docstore is not None
- assert len(pipeline.docstore.docs) == 2
+ # Test BaseEmbedding
+ embed_model = resolve_embed_model(OpenAIEmbedding())
+ assert isinstance(embed_model, OpenAIEmbedding)
diff --git a/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/base.py b/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/base.py
index 21284e2868..bdefa413cf 100644
--- a/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/base.py
+++ b/llama-index-packs/llama-index-packs-llama-dataset-metadata/llama_index/packs/llama_dataset_metadata/base.py
@@ -1,14 +1,16 @@
import json
-from typing import List, Optional
+from typing import List, Optional, TYPE_CHECKING
import pandas as pd
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.download.module import LLAMA_HUB_URL
from llama_index.core.download.utils import get_file_content
from llama_index.core.indices.base import BaseIndex
-from llama_index.core.llama_dataset import LabelledRagDataset
from llama_index.core.llama_pack.base import BaseLlamaPack
+if TYPE_CHECKING:
+ from llama_index.core.llama_dataset import LabelledRagDataset
+
class Readme(BaseModel):
"""A simple class for creating a README.md string."""
@@ -104,7 +106,7 @@ class DatasetCard(BaseMetadata):
cls,
index: BaseIndex,
benchmark_df: pd.DataFrame,
- rag_dataset: LabelledRagDataset,
+ rag_dataset: "LabelledRagDataset",
name: str,
baseline_name: str,
description: str,
@@ -203,7 +205,7 @@ class LlamaDatasetMetadataPack(BaseLlamaPack):
self,
index: BaseIndex,
benchmark_df: pd.DataFrame,
- rag_dataset: LabelledRagDataset,
+ rag_dataset: "LabelledRagDataset",
name: str,
description: str,
baseline_name: str,
diff --git a/poetry.lock b/poetry.lock
index 4a03033fd4..58e4c5f0ec 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1067,40 +1067,39 @@ files = [
[[package]]
name = "httpcore"
-version = "1.0.2"
+version = "0.17.3"
description = "A minimal low-level HTTP client."
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
files = [
- {file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
- {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
+ {file = "httpcore-0.17.3-py3-none-any.whl", hash = "sha256:c2789b767ddddfa2a5782e3199b2b7f6894540b17b16ec26b2c4d8e103510b87"},
+ {file = "httpcore-0.17.3.tar.gz", hash = "sha256:a6f30213335e34c1ade7be6ec7c47f19f50c56db36abef1a9dfa3815b1cb3888"},
]
[package.dependencies]
+anyio = ">=3.0,<5.0"
certifi = "*"
h11 = ">=0.13,<0.15"
+sniffio = "==1.*"
[package.extras]
-asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
[[package]]
name = "httpx"
-version = "0.26.0"
+version = "0.24.1"
description = "The next generation HTTP client."
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
files = [
- {file = "httpx-0.26.0-py3-none-any.whl", hash = "sha256:8915f5a3627c4d47b73e8202457cb28f1266982d1159bd5779d86a80c0eab1cd"},
- {file = "httpx-0.26.0.tar.gz", hash = "sha256:451b55c30d5185ea6b23c2c793abf9bb237d2a7dfb901ced6ff69ad37ec1dfaf"},
+ {file = "httpx-0.24.1-py3-none-any.whl", hash = "sha256:06781eb9ac53cde990577af654bd990a4949de37a28bdb4a230d434f3a30b9bd"},
+ {file = "httpx-0.24.1.tar.gz", hash = "sha256:5853a43053df830c20f8110c5e69fe44d035d850b2dfe795e196f00fdb774bdd"},
]
[package.dependencies]
-anyio = "*"
certifi = "*"
-httpcore = "==1.*"
+httpcore = ">=0.15.0,<0.18.0"
idna = "*"
sniffio = "*"
@@ -2817,7 +2816,6 @@ files = [
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
- {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
@@ -2825,7 +2823,6 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
- {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
@@ -2851,7 +2848,6 @@ files = [
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
- {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
@@ -2859,7 +2855,6 @@ files = [
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
- {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
diff --git a/pyproject.toml b/pyproject.toml
index aff6f76f1c..2da6be3592 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ skip = "./llama_index/core/_static,./examples,./experimental,*.csv,*.html,*.json
[tool.mypy]
disallow_untyped_defs = true
# Remove venv skip when integrated with pre-commit
-exclude = ["_static", "build", "examples", "notebooks", "venv"]
+exclude = ["_static", "build", "examples", "llama_index/ingestion/client", "notebooks", "venv"]
ignore_missing_imports = true
python_version = "3.8"
@@ -99,6 +99,7 @@ url = "https://pypi.nvidia.com"
exclude = [
"_static",
"examples",
+ "llama_index/ingestion/client",
"notebooks",
]
ignore = [
--
GitLab