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* Code * add changeset * remove comment * Add back try except * Add code * Use warning * Use warning --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
330 lines
13 KiB
Python
330 lines
13 KiB
Python
import os
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import shutil
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import tempfile
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from copy import deepcopy
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from pathlib import Path
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from unittest.mock import patch
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import ffmpy
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import numpy as np
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import pytest
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from gradio_client import media_data
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from PIL import Image, ImageCms
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from gradio import processing_utils, utils
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class TestTempFileManagement:
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def test_hash_file(self):
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h1 = processing_utils.hash_file("gradio/test_data/cheetah1.jpg")
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h2 = processing_utils.hash_file("gradio/test_data/cheetah1-copy.jpg")
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h3 = processing_utils.hash_file("gradio/test_data/cheetah2.jpg")
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assert h1 == h2
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assert h1 != h3
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def test_make_temp_copy_if_needed(self, gradio_temp_dir):
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f = processing_utils.save_file_to_cache(
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"gradio/test_data/cheetah1.jpg", cache_dir=gradio_temp_dir
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)
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try: # Delete if already exists from before this test
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os.remove(f)
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except OSError:
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pass
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f = processing_utils.save_file_to_cache(
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"gradio/test_data/cheetah1.jpg", cache_dir=gradio_temp_dir
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)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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assert Path(f).name == "cheetah1.jpg"
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f = processing_utils.save_file_to_cache(
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"gradio/test_data/cheetah1.jpg", cache_dir=gradio_temp_dir
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)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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f = processing_utils.save_file_to_cache(
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"gradio/test_data/cheetah1-copy.jpg", cache_dir=gradio_temp_dir
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)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
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assert Path(f).name == "cheetah1-copy.jpg"
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def test_save_b64_to_cache(self, gradio_temp_dir):
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base64_file_1 = media_data.BASE64_IMAGE
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base64_file_2 = media_data.BASE64_AUDIO["data"]
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f = processing_utils.save_base64_to_cache(
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base64_file_1, cache_dir=gradio_temp_dir
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)
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try: # Delete if already exists from before this test
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os.remove(f)
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except OSError:
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pass
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f = processing_utils.save_base64_to_cache(
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base64_file_1, cache_dir=gradio_temp_dir
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)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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f = processing_utils.save_base64_to_cache(
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base64_file_1, cache_dir=gradio_temp_dir
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)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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f = processing_utils.save_base64_to_cache(
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base64_file_2, cache_dir=gradio_temp_dir
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)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
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@pytest.mark.flaky
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def test_save_url_to_cache(self, gradio_temp_dir):
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url1 = "https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/test_image.png"
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url2 = "https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/cheetah1.jpg"
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f = processing_utils.save_url_to_cache(url1, cache_dir=gradio_temp_dir)
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try: # Delete if already exists from before this test
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os.remove(f)
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except OSError:
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pass
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f = processing_utils.save_url_to_cache(url1, cache_dir=gradio_temp_dir)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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f = processing_utils.save_url_to_cache(url1, cache_dir=gradio_temp_dir)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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f = processing_utils.save_url_to_cache(url2, cache_dir=gradio_temp_dir)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
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def test_save_url_to_cache_with_spaces(self, gradio_temp_dir):
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url = "https://huggingface.co/datasets/freddyaboulton/gradio-reviews/resolve/main00015-20230906102032-7778-Wonderwoman VintageMagStyle _lora_SDXL-VintageMagStyle-Lora_1_, Very detailed, clean, high quality, sharp image.jpg"
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processing_utils.save_url_to_cache(url, cache_dir=gradio_temp_dir)
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assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
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class TestImagePreprocessing:
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def test_encode_plot_to_base64(self):
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with utils.MatplotlibBackendMananger():
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import matplotlib.pyplot as plt
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plt.plot([1, 2, 3, 4])
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output_base64 = processing_utils.encode_plot_to_base64(plt)
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assert output_base64.startswith(
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"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAo"
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)
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def test_encode_array_to_base64(self):
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img = Image.open("gradio/test_data/test_image.png")
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img = img.convert("RGB")
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numpy_data = np.asarray(img, dtype=np.uint8)
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output_base64 = processing_utils.encode_array_to_base64(numpy_data)
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assert output_base64 == deepcopy(media_data.ARRAY_TO_BASE64_IMAGE)
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def test_encode_pil_to_base64(self):
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img = Image.open("gradio/test_data/test_image.png")
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img = img.convert("RGB")
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img.info = {} # Strip metadata
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output_base64 = processing_utils.encode_pil_to_base64(img)
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assert output_base64 == deepcopy(media_data.ARRAY_TO_BASE64_IMAGE)
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def test_save_pil_to_file_keeps_pnginfo(self, gradio_temp_dir):
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input_img = Image.open("gradio/test_data/test_image.png")
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input_img = input_img.convert("RGB")
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input_img.info = {"key1": "value1", "key2": "value2"}
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input_img.save(gradio_temp_dir / "test_test_image.png")
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file_obj = processing_utils.save_pil_to_cache(
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input_img, cache_dir=gradio_temp_dir
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)
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output_img = Image.open(file_obj)
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assert output_img.info == input_img.info
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def test_np_pil_encode_to_the_same(self, gradio_temp_dir):
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arr = np.random.randint(0, 255, size=(100, 100, 3), dtype=np.uint8)
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pil = Image.fromarray(arr)
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assert processing_utils.save_pil_to_cache(
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pil, cache_dir=gradio_temp_dir
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) == processing_utils.save_img_array_to_cache(arr, cache_dir=gradio_temp_dir)
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def test_encode_pil_to_temp_file_metadata_color_profile(self, gradio_temp_dir):
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# Read image
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img = Image.open("gradio/test_data/test_image.png")
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img_metadata = Image.open("gradio/test_data/test_image.png")
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img_metadata.info = {"key1": "value1", "key2": "value2"}
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# Creating sRGB profile
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profile = ImageCms.createProfile("sRGB")
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profile2 = ImageCms.ImageCmsProfile(profile)
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img.save(
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gradio_temp_dir / "img_color_profile.png", icc_profile=profile2.tobytes()
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)
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img_cp1 = Image.open(str(gradio_temp_dir / "img_color_profile.png"))
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# Creating XYZ profile
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profile = ImageCms.createProfile("XYZ")
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profile2 = ImageCms.ImageCmsProfile(profile)
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img.save(
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gradio_temp_dir / "img_color_profile_2.png", icc_profile=profile2.tobytes()
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)
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img_cp2 = Image.open(str(gradio_temp_dir / "img_color_profile_2.png"))
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img_path = processing_utils.save_pil_to_cache(img, cache_dir=gradio_temp_dir)
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img_metadata_path = processing_utils.save_pil_to_cache(
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img_metadata, cache_dir=gradio_temp_dir
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)
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img_cp1_path = processing_utils.save_pil_to_cache(
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img_cp1, cache_dir=gradio_temp_dir
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)
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img_cp2_path = processing_utils.save_pil_to_cache(
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img_cp2, cache_dir=gradio_temp_dir
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)
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assert len({img_path, img_metadata_path, img_cp1_path, img_cp2_path}) == 4
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def test_resize_and_crop(self):
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img = Image.open("gradio/test_data/test_image.png")
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new_img = processing_utils.resize_and_crop(img, (20, 20))
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assert new_img.size == (20, 20)
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with pytest.raises(ValueError):
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processing_utils.resize_and_crop(
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**{"img": img, "size": (20, 20), "crop_type": "test"}
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)
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class TestAudioPreprocessing:
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def test_audio_from_file(self):
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audio = processing_utils.audio_from_file("gradio/test_data/test_audio.wav")
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assert audio[0] == 22050
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assert isinstance(audio[1], np.ndarray)
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def test_audio_to_file(self):
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audio = processing_utils.audio_from_file("gradio/test_data/test_audio.wav")
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processing_utils.audio_to_file(audio[0], audio[1], "test_audio_to_file")
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assert os.path.exists("test_audio_to_file")
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os.remove("test_audio_to_file")
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def test_convert_to_16_bit_wav(self):
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# Generate a random audio sample and set the amplitude
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audio = np.random.randint(-100, 100, size=(100), dtype="int16")
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audio[0] = -32767
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audio[1] = 32766
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audio_ = audio.astype("float64")
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audio_ = processing_utils.convert_to_16_bit_wav(audio_)
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assert np.allclose(audio, audio_)
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assert audio_.dtype == "int16"
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audio_ = audio.astype("float32")
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audio_ = processing_utils.convert_to_16_bit_wav(audio_)
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assert np.allclose(audio, audio_)
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assert audio_.dtype == "int16"
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audio_ = processing_utils.convert_to_16_bit_wav(audio)
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assert np.allclose(audio, audio_)
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assert audio_.dtype == "int16"
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class TestOutputPreprocessing:
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float_dtype_list = [
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float,
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float,
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np.double,
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np.single,
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np.float32,
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np.float64,
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"float32",
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"float64",
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]
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def test_float_conversion_dtype(self):
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"""Test any conversion from a float dtype to an other."""
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x = np.array([-1, 1])
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# Test all combinations of dtypes conversions
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dtype_combin = np.array(
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np.meshgrid(
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TestOutputPreprocessing.float_dtype_list,
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TestOutputPreprocessing.float_dtype_list,
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)
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).T.reshape(-1, 2)
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for dtype_in, dtype_out in dtype_combin:
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x = x.astype(dtype_in)
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y = processing_utils._convert(x, dtype_out)
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assert y.dtype == np.dtype(dtype_out)
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def test_subclass_conversion(self):
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"""Check subclass conversion behavior"""
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x = np.array([-1, 1])
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for dtype in TestOutputPreprocessing.float_dtype_list:
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x = x.astype(dtype)
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y = processing_utils._convert(x, np.floating)
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assert y.dtype == x.dtype
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class TestVideoProcessing:
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def test_video_has_playable_codecs(self, test_file_dir):
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assert processing_utils.video_is_playable(
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str(test_file_dir / "video_sample.mp4")
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)
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assert processing_utils.video_is_playable(
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str(test_file_dir / "video_sample.ogg")
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)
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assert processing_utils.video_is_playable(
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str(test_file_dir / "video_sample.webm")
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)
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assert not processing_utils.video_is_playable(
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str(test_file_dir / "bad_video_sample.mp4")
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)
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def raise_ffmpy_runtime_exception(*args, **kwargs):
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raise ffmpy.FFRuntimeError("", "", "", "")
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@pytest.mark.parametrize(
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"exception_to_raise", [raise_ffmpy_runtime_exception, KeyError(), IndexError()]
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)
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def test_video_has_playable_codecs_catches_exceptions(
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self, exception_to_raise, test_file_dir
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):
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with patch(
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"ffmpy.FFprobe.run", side_effect=exception_to_raise
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), tempfile.NamedTemporaryFile(
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suffix="out.avi", delete=False
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) as tmp_not_playable_vid:
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shutil.copy(
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str(test_file_dir / "bad_video_sample.mp4"),
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tmp_not_playable_vid.name,
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)
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assert processing_utils.video_is_playable(tmp_not_playable_vid.name)
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def test_convert_video_to_playable_mp4(self, test_file_dir):
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with tempfile.NamedTemporaryFile(
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suffix="out.avi", delete=False
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) as tmp_not_playable_vid:
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shutil.copy(
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str(test_file_dir / "bad_video_sample.mp4"), tmp_not_playable_vid.name
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)
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with patch("os.remove", wraps=os.remove) as mock_remove:
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playable_vid = processing_utils.convert_video_to_playable_mp4(
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tmp_not_playable_vid.name
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)
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# check tempfile got deleted
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assert not Path(mock_remove.call_args[0][0]).exists()
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assert processing_utils.video_is_playable(playable_vid)
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@patch("ffmpy.FFmpeg.run", side_effect=raise_ffmpy_runtime_exception)
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def test_video_conversion_returns_original_video_if_fails(
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self, mock_run, test_file_dir
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):
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with tempfile.NamedTemporaryFile(
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suffix="out.avi", delete=False
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) as tmp_not_playable_vid:
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shutil.copy(
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str(test_file_dir / "bad_video_sample.mp4"), tmp_not_playable_vid.name
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)
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playable_vid = processing_utils.convert_video_to_playable_mp4(
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tmp_not_playable_vid.name
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)
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# If the conversion succeeded it'd be .mp4
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assert Path(playable_vid).suffix == ".avi"
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