Merge pull request #319 from aurelio-labs/james/update-pinecone-test

fix: add skip to vit

tests/unit/encoders/test_vit.py

+import os
 import numpy as np
 import pytest
 import torch
@@ -48,29 +49,44 @@ class TestVitEncoder:
         with pytest.raises(ImportError):
             VitEncoder()
 
+    @pytest.mark.skipif(
+        os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run"
+    )
     def test_vit_encoder_initialization(self):
         assert vit_encoder.name == test_model_name
         assert vit_encoder.type == "huggingface"
         assert vit_encoder.score_threshold == 0.5
         assert vit_encoder.device == device
 
+    @pytest.mark.skipif(
+        os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run"
+    )
     def test_vit_encoder_call(self, dummy_pil_image):
         encoded_images = vit_encoder([dummy_pil_image] * 3)
 
         assert len(encoded_images) == 3
         assert set(map(len, encoded_images)) == {embed_dim}
 
+    @pytest.mark.skipif(
+        os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run"
+    )
     def test_vit_encoder_call_misshaped(self, dummy_pil_image, misshaped_pil_image):
         encoded_images = vit_encoder([dummy_pil_image, misshaped_pil_image])
 
         assert len(encoded_images) == 2
         assert set(map(len, encoded_images)) == {embed_dim}
 
+    @pytest.mark.skipif(
+        os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run"
+    )
     def test_vit_encoder_process_images_device(self, dummy_pil_image):
         imgs = vit_encoder._process_images([dummy_pil_image] * 3)["pixel_values"]
 
         assert imgs.device.type == device
 
+    @pytest.mark.skipif(
+        os.environ.get("RUN_HF_TESTS") is None, reason="Set RUN_HF_TESTS=1 to run"
+    )
     def test_vit_encoder_ensure_rgb(self, dummy_black_and_white_img):
         rgb_image = vit_encoder._ensure_rgb(dummy_black_and_white_img)