134 строки
5.4 KiB
Python
134 строки
5.4 KiB
Python
# coding=utf-8
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# Copyright 2019-present, the HuggingFace Inc. team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import unittest
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from typing import List, Union
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from .utils import require_tf, require_torch, slow
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def get_examples_from_file(file):
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examples = []
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example = []
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example_mode = False
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example_indentation = None
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for i, line in enumerate(file):
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if example_mode:
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current_indentation = len(line) - len(line.strip()) - 1
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# Check if the indentation is 0 for the example, so that we don't exit as soon as there's a line return.
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empty_line = example_indentation == 0 and len(line) == 1
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# If we're back to the example indentation or if it's the end of the docstring.
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if (current_indentation == example_indentation and not empty_line) or '"""' in line:
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# Exit the example mode and add the example to the examples list
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example_mode = False
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example_indentation = None
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examples.append(example)
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example = []
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else:
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# If line is not empty, add it to the current example
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if line != "\n":
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example.append(line[example_indentation + 4 : -1])
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# Detect the example from '::' or 'example::'
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if "example::" in line.lower():
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example_mode = True
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example_indentation = line.lower().find("example::")
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elif "examples::" in line.lower():
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example_mode = True
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example_indentation = line.lower().find("examples::")
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# elif "::" in line.lower() and len(line.strip()) == 2:
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# example_mode = True
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# example_indentation = line.lower().find("::")
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examples = ["\n".join(example) for example in examples]
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examples = [example for example in examples if "not runnable" not in example.lower()]
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return examples
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@require_torch
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@require_tf
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@slow
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class TestCodeExamples(unittest.TestCase):
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def analyze_directory(
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self, directory: str, identifier: Union[str, None] = None, ignore_files: Union[List[str], None] = None
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):
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files = [file for file in os.listdir(directory) if os.path.isfile(os.path.join(directory, file))]
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if identifier is not None:
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files = [file for file in files if identifier in file]
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if ignore_files is not None:
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files = [file for file in files if file not in ignore_files]
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for file in files:
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# Open all files
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print("Testing", file, end=" ")
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with open(os.path.join(directory, file)) as f:
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# Retrieve examples
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examples = get_examples_from_file(f)
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joined_examples = []
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def execute_example(code_example):
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exec(code_example, {})
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# Some examples are the continuation of others.
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if len(examples) > 0:
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joined_examples.append(examples[0])
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joined_examples_index = 0
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for example in examples[1:]:
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# If they contain this line, then they're a continuation of the previous script
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if "# Continuation of the previous script" in example:
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joined_examples[joined_examples_index] += "\n" + example
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# If not, create a new example and increment the index
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else:
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joined_examples.append(example)
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joined_examples_index += 1
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print(str(len(joined_examples)) + "/" + str(len(joined_examples)))
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# Execute sub tests with every example.
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for index, code_example in enumerate(joined_examples):
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with self.subTest(msg=file + " " + str(index) + "/" + str(len(joined_examples)) + code_example):
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execute_example(code_example)
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def test_configuration_examples(self):
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transformers_directory = "src/transformers"
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configuration_files = "configuration"
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ignore_files = ["configuration_auto.py", "configuration_utils.py"]
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self.analyze_directory(transformers_directory, identifier=configuration_files, ignore_files=ignore_files)
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def test_main_doc_examples(self):
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doc_directory = "docs/source"
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ignore_files = ["favicon.ico"]
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self.analyze_directory(doc_directory, ignore_files=ignore_files)
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def test_modeling_examples(self):
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transformers_directory = "src/transformers"
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modeling_files = "modeling"
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ignore_files = [
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"modeling_auto.py",
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"modeling_t5.py",
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"modeling_tf_auto.py",
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"modeling_utils.py",
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"modeling_tf_t5.py",
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"modeling_bart.py",
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"modeling_tf_utils.py",
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]
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self.analyze_directory(transformers_directory, identifier=modeling_files, ignore_files=ignore_files)
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