



"""simple docstring"""


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

				snake_case_    					=	True
except ImportError:
				snake_case_    					=	False

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

def 			_lowerCAmelCase				(       lowercase_						):
						return AddNewModelCommand(args.testing		,     args.testing_file		,     path=args.path						)







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""






						@staticmethod
						def      UpperCAmelCase__					( lowercase_			:ArgumentParser )    ->      Any:
												UpperCAmelCase					=			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			:Tuple       ,  lowercase_			:bool       ,  lowercase_			:str       ,  lowercase_			:List[str]=None       ,  *lowercase_			:List[str] )    ->      List[Any]:
												UpperCAmelCase					=			testing
												UpperCAmelCase					=			testing_file
												UpperCAmelCase					=			path






						def      UpperCAmelCase__					( self			:Any )    ->      str:
												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
												UpperCAmelCase					=			[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.' )

												UpperCAmelCase					=			(
												    Path(lowercase_ ).parent.parent.parent.parent if self._path is None else Path(self._path ).parent.parent
												)
												UpperCAmelCase					=			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:
																								UpperCAmelCase					=			json.load(lowercase_ )

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

												UpperCAmelCase					=			[directory for directory in os.listdir() if 'cookiecutter-template-' in directory[:22]][0]

												# Retrieve configuration
												with open(directory + '/configuration.json'       ,  'r' ) as configuration_file:
																		UpperCAmelCase					=			json.load(lowercase_ )

												UpperCAmelCase					=			configuration['lowercase_modelname']
												UpperCAmelCase					=			configuration['generate_tensorflow_pytorch_and_flax']
												os.remove(f"""{directory}/configuration.json""" )

												UpperCAmelCase					=			'PyTorch' in generate_tensorflow_pytorch_and_flax
												UpperCAmelCase					=			'TensorFlow' in generate_tensorflow_pytorch_and_flax
												UpperCAmelCase					=			'Flax' in generate_tensorflow_pytorch_and_flax

												UpperCAmelCase					=			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(lowercase_			:Optional[Any] ):
																		with open(lowercase_       ,  'r' ) as f:
																								UpperCAmelCase					=			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(lowercase_			:str       ,  lowercase_			:str       ,  lowercase_			:List[str] ):
																		# Create temp file
																		UpperCAmelCase				,   UpperCAmelCase					=			mkstemp()
																		UpperCAmelCase					=			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:
																																										UpperCAmelCase					=			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(lowercase_			:Optional[int] ):
																		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(lowercase_			:int ):
																		with open(lowercase_ ) as datafile:
																								UpperCAmelCase					=			[]
																								UpperCAmelCase					=			False
																								UpperCAmelCase					=			False
																								for line in datafile:
																														if "# To replace in: " in line and "##" not in line:
																																				UpperCAmelCase					=			line.split('"' )[1]
																																				UpperCAmelCase					=			skip_units(lowercase_ )
																														elif "# Below: " in line and "##" not in line:
																																				UpperCAmelCase					=			line.split('"' )[1]
																																				UpperCAmelCase					=			skip_units(lowercase_ )
																														elif "# End." in line and "##" not in line:
																																				if not skip_file and not skip_snippet:
																																										replace(lowercase_       ,  lowercase_       ,  lowercase_ )

																																				UpperCAmelCase					=			[]
																														elif "# Replace with" in line and "##" not in line:
																																				UpperCAmelCase					=			[]
																														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_ )




"""simple docstring"""


# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


snake_case_    					=	{
    """configuration_cpmant""": ["""CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CpmAntConfig"""],
    """tokenization_cpmant""": ["""CpmAntTokenizer"""],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_    					=	[
				    """CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """CpmAntForCausalLM""",
				    """CpmAntModel""",
				    """CpmAntPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
				from .tokenization_cpmant import CpmAntTokenizer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_cpmant import (
								    CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    CpmAntForCausalLM,
								    CpmAntModel,
								    CpmAntPreTrainedModel,
								)


else:
				import sys

				snake_case_    					=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





