





import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
		from cookiecutter.main import cookiecutter

		lowercase_		:				Dict				=						True
except ImportError:
		lowercase_		:				Any				=						False

lowercase_		:				Tuple				=						logging.get_logger(__name__)  # pylint: disable=invalid-name

def       A__(		__lowerCAmelCase ):
				return AddNewModelCommand(args.testing	,			args.testing_file	,			path=args.path )


class 			lowercase				(							_UpperCAmelCase     ):



						"""simple docstring"""

						@staticmethod
						def 		__UpperCAmelCase       (    lowerCamelCase_			:		ArgumentParser					):





										'''simple docstring'''







										_snake_case :			int  						=   parser.add_parser('add-new-model'					)
										add_new_model_parser.add_argument('--testing' ,				action='store_true' ,				help='If in testing mode.'					)
										add_new_model_parser.add_argument('--testing_file' ,				type=lowercase_ ,				help='Configuration file on which to run.'					)
										add_new_model_parser.add_argument(
										    '--path' ,				type=lowercase_ ,				help='Path to cookiecutter. Should only be used for testing purposes.'					)
										add_new_model_parser.set_defaults(func=lowercase_					)







						def __init__(    self			:		Optional[int] ,				lowerCamelCase_			:		bool ,				lowerCamelCase_			:		str ,				lowerCamelCase_			:		Union[str, Any]=None ,				*lowerCamelCase_			:		Dict					):





										'''simple docstring'''







										_snake_case :			Union[str, Any]  						=   testing
										_snake_case :			List[Any]  						=   testing_file
										_snake_case :			int  						=   path







						def 		__UpperCAmelCase       (    self			:		Any					):





										'''simple docstring'''







										warnings.warn(
										    'The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. '
										    'It is not actively maintained anymore, so might give a result that won\'t pass all tests and quality '
										    'checks, you should use `transformers-cli add-new-model-like` instead.'					)
										if not _has_cookiecutter:
														raise ImportError(
														    'Model creation dependencies are required to use the `add_new_model` command. Install them by running '
														    'the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n'					)
										# Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
										_snake_case :			List[Any]  						=   [directory for directory in os.listdir() if """cookiecutter-template-""" == directory[:22]]
										if len(lowercase_					) > 0:
														raise ValueError(
														    'Several directories starting with `cookiecutter-template-` in current working directory. '
														    'Please clean your directory by removing all folders starting with `cookiecutter-template-` or '
														    'change your working directory.'					)

										_snake_case :			str  						=   (
										    Path(lowercase_					).parent.parent.parent.parent if self._path is None else Path(self._path					).parent.parent
										)
										_snake_case :			List[Any]  						=   path_to_transformer_root / """templates""" / """adding_a_new_model"""

										# Execute cookiecutter
										if not self._testing:
														cookiecutter(str(lowercase_					)					)
										else:
														with open(self._testing_file ,				'r'					) as configuration_file:
																		_snake_case :			Union[str, Any]  						=   json.load(lowercase_					)

														cookiecutter(
														    str(path_to_cookiecutter if self._path is None else self._path					) ,				no_input=lowercase_ ,				extra_context=lowercase_ ,				)

										_snake_case :			List[Any]  						=   [directory for directory in os.listdir() if """cookiecutter-template-""" in directory[:22]][0]

										# Retrieve configuration
										with open(directory + '/configuration.json' ,				'r'					) as configuration_file:
														_snake_case :			Optional[int]  						=   json.load(lowercase_					)

										_snake_case :			List[Any]  						=   configuration["""lowercase_modelname"""]
										_snake_case :			List[Any]  						=   configuration["""generate_tensorflow_pytorch_and_flax"""]
										os.remove(f'''{directory}/configuration.json'''					)

										_snake_case :			Any  						=   """PyTorch""" in generate_tensorflow_pytorch_and_flax
										_snake_case :			Tuple  						=   """TensorFlow""" in generate_tensorflow_pytorch_and_flax
										_snake_case :			Any  						=   """Flax""" in generate_tensorflow_pytorch_and_flax

										_snake_case :			List[str]  						=   f'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
										os.makedirs(lowercase_ ,				exist_ok=lowercase_					)
										os.makedirs(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}''' ,				exist_ok=lowercase_					)

										# Tests require submodules as they have parent imports
										with open(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py''' ,				'w'					):
														pass

										shutil.move(
										    f'''{directory}/__init__.py''' ,				f'''{model_dir}/__init__.py''' ,				)
										shutil.move(
										    f'''{directory}/configuration_{lowercase_model_name}.py''' ,				f'''{model_dir}/configuration_{lowercase_model_name}.py''' ,				)

										def remove_copy_lines(lowerCamelCase_			:		int					):
														with open(lowercase_ ,				'r'					) as f:
																		_snake_case :			Union[str, Any]  						=   f.readlines()
														with open(lowercase_ ,				'w'					) as f:
																		for line in lines:
																						if "# Copied from transformers." not in line:
																										f.write(lowercase_					)

										if output_pytorch:
														if not self._testing:
																		remove_copy_lines(f'''{directory}/modeling_{lowercase_model_name}.py'''					)

														shutil.move(
														    f'''{directory}/modeling_{lowercase_model_name}.py''' ,				f'''{model_dir}/modeling_{lowercase_model_name}.py''' ,				)

														shutil.move(
														    f'''{directory}/test_modeling_{lowercase_model_name}.py''' ,				f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py''' ,				)
										else:
														os.remove(f'''{directory}/modeling_{lowercase_model_name}.py'''					)
														os.remove(f'''{directory}/test_modeling_{lowercase_model_name}.py'''					)

										if output_tensorflow:
														if not self._testing:
																		remove_copy_lines(f'''{directory}/modeling_tf_{lowercase_model_name}.py'''					)

														shutil.move(
														    f'''{directory}/modeling_tf_{lowercase_model_name}.py''' ,				f'''{model_dir}/modeling_tf_{lowercase_model_name}.py''' ,				)

														shutil.move(
														    f'''{directory}/test_modeling_tf_{lowercase_model_name}.py''' ,				f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py''' ,				)
										else:
														os.remove(f'''{directory}/modeling_tf_{lowercase_model_name}.py'''					)
														os.remove(f'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''					)

										if output_flax:
														if not self._testing:
																		remove_copy_lines(f'''{directory}/modeling_flax_{lowercase_model_name}.py'''					)

														shutil.move(
														    f'''{directory}/modeling_flax_{lowercase_model_name}.py''' ,				f'''{model_dir}/modeling_flax_{lowercase_model_name}.py''' ,				)

														shutil.move(
														    f'''{directory}/test_modeling_flax_{lowercase_model_name}.py''' ,				f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py''' ,				)
										else:
														os.remove(f'''{directory}/modeling_flax_{lowercase_model_name}.py'''					)
														os.remove(f'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''					)

										shutil.move(
										    f'''{directory}/{lowercase_model_name}.md''' ,				f'''{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md''' ,				)

										shutil.move(
										    f'''{directory}/tokenization_{lowercase_model_name}.py''' ,				f'''{model_dir}/tokenization_{lowercase_model_name}.py''' ,				)

										shutil.move(
										    f'''{directory}/tokenization_fast_{lowercase_model_name}.py''' ,				f'''{model_dir}/tokenization_{lowercase_model_name}_fast.py''' ,				)

										from os import fdopen, remove
										from shutil import copymode, move
										from tempfile import mkstemp

										def replace(lowerCamelCase_			:		str ,				lowerCamelCase_			:		str ,				lowerCamelCase_			:		List[str]					):
														# Create temp file
														_snake_case :			Any  						=   mkstemp()
														_snake_case :			List[str]  						=   False
														with fdopen(lowercase_ ,				'w'					) as new_file:
																		with open(lowercase_					) as old_file:
																						for line in old_file:
																										new_file.write(lowercase_					)
																										if line_to_copy_below in line:
																														_snake_case :			int  						=   True
																														for line_to_copy in lines_to_copy:
																																		new_file.write(lowercase_					)

														if not line_found:
																		raise ValueError(f'''Line {line_to_copy_below} was not found in file.'''					)

														# Copy the file permissions from the old file to the new file
														copymode(lowercase_ ,				lowercase_					)
														# Remove original file
														remove(lowercase_					)
														# Move new file
														move(lowercase_ ,				lowercase_					)

										def skip_units(lowerCamelCase_			:		str					):
														return (
														    ("generating PyTorch" in line and not output_pytorch)
														    or ("generating TensorFlow" in line and not output_tensorflow)
														    or ("generating Flax" in line and not output_flax)
														)

										def replace_in_files(lowerCamelCase_			:		int					):
														with open(lowercase_					) as datafile:
																		_snake_case :			Optional[int]  						=   []
																		_snake_case :			List[Any]  						=   False
																		_snake_case :			Dict  						=   False
																		for line in datafile:
																						if "# To replace in: " in line and "##" not in line:
																										_snake_case :			Optional[Any]  						=   line.split('\"'					)[1]
																										_snake_case :			Optional[int]  						=   skip_units(lowercase_					)
																						elif "# Below: " in line and "##" not in line:
																										_snake_case :			List[str]  						=   line.split('\"'					)[1]
																										_snake_case :			Union[str, Any]  						=   skip_units(lowercase_					)
																						elif "# End." in line and "##" not in line:
																										if not skip_file and not skip_snippet:
																														replace(lowercase_ ,				lowercase_ ,				lowercase_					)

																										_snake_case :			int  						=   []
																						elif "# Replace with" in line and "##" not in line:
																										_snake_case :			Optional[int]  						=   []
																						elif "##" not in line:
																										lines_to_copy.append(lowercase_					)

														remove(lowercase_					)

										replace_in_files(f'''{directory}/to_replace_{lowercase_model_name}.py'''					)
										os.rmdir(lowercase_					)












import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


lowercase_		:				Optional[Any]				=						pytest.mark.integration

@pytest.mark.parametrize('path'	,			['paws', 'csv'] )
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_dataset(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			str  						=   path + '.py'
				assert script_name in os.listdir(__lowerCAmelCase )
				assert "__pycache__" not in os.listdir(__lowerCAmelCase )

@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning' )
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning' )
@pytest.mark.parametrize('path'	,			['accuracy'] )
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_metric(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			Tuple  						=   path + '.py'
				assert script_name in os.listdir(__lowerCAmelCase )
				assert "__pycache__" not in os.listdir(__lowerCAmelCase )

@pytest.mark.parametrize(
    'path, config_name, expected_splits'	,			[
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Union[str, Any]  						=   get_dataset_config_info(__lowerCAmelCase	,			config_name=__lowerCAmelCase )
				assert info.config_name == config_name
				assert list(info.splits.keys() ) == expected_splits

@pytest.mark.parametrize(
    'path, config_name, expected_exception'	,			[
        ('paws', None, ValueError),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_config_info(__lowerCAmelCase	,			config_name=__lowerCAmelCase )

@pytest.mark.parametrize(
    'path, expected'	,			[
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Optional[Any]  						=   get_dataset_config_names(__lowerCAmelCase )
				assert expected in config_names

@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'	,			[
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			List[Any]  						=   get_dataset_infos(__lowerCAmelCase )
				assert list(infos.keys() ) == expected_configs
				_snake_case :			Any  						=   expected_configs[0]
				assert expected_config in infos
				_snake_case :			str  						=   infos[expected_config]
				assert info.config_name == expected_config
				assert list(info.splits.keys() ) == expected_splits_in_first_config

@pytest.mark.parametrize(
    'path, expected_config, expected_splits'	,			[
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Any  						=   get_dataset_infos(__lowerCAmelCase )
				assert expected_config in infos
				_snake_case :			Any  						=   infos[expected_config]
				assert info.config_name == expected_config
				assert list(info.splits.keys() ) == expected_splits

@pytest.mark.parametrize(
    'path, config_name, expected_exception'	,			[
        ('paws', None, ValueError),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_split_names(__lowerCAmelCase	,			config_name=__lowerCAmelCase )






