Rename test.py to test1.py
Browse files- test.py → test1.py +12 -6
test.py → test1.py
RENAMED
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@@ -568,14 +568,20 @@ class Food500(datasets.GeneratorBasedBuilder):
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metadata = dl_manager.iter_archive(split_metadata_path)
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for file_path, file_obj in metadata:
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if file_path == _TRAIN_TXT:
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train_set = set(file_obj.read().split("\n"))
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train_set = {path.encode("utf-8") for path in train_set}
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if file_path == _VALID_TXT:
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valid_set = set(file_obj.read().split("\n"))
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valid_set = {path.encode("utf-8") for path in
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if file_path == _TEST_TXT:
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test_set = set(file_obj.read().split("\n"))
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test_set = {path.encode("utf-8") for path in
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pass
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return [
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datasets.SplitGenerator(
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metadata = dl_manager.iter_archive(split_metadata_path)
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for file_path, file_obj in metadata:
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if file_path == _TRAIN_TXT:
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# train_set = set(file_obj.read().split("\n"))
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# train_set = {path.encode("utf-8") for path in train_set}
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with open(file_path, encoding="utf-8") as f:
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train_set = set(f.read().split("\n"))
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if file_path == _VALID_TXT:
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# valid_set = set(file_obj.read().split("\n"))
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# valid_set = {path.encode("utf-8") for path in valid_set}
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with open(file_path, encoding="utf-8") as f:
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valid_set = set(f.read().split("\n"))
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if file_path == _TEST_TXT:
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# test_set = set(file_obj.read().split("\n"))
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# test_set = {path.encode("utf-8") for path in test_set}
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with open(file_path, encoding="utf-8") as f:
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test_set = set(f.read().split("\n"))
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pass
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return [
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datasets.SplitGenerator(
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