






'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_A     :      str   					={
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A     :      Union[str, Any]   					=[
			    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''EncodecModel''',
			    '''EncodecPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_encodec import (
			    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    EncodecConfig,
			)
			from .feature_extraction_encodec import EncodecFeatureExtractor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_encodec import (
						    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
						    EncodecModel,
						    EncodecPreTrainedModel,
						)

else:
			import sys

			_A     :      Dict   					=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)









'''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

			_A     :      List[Any]   					=True
except ImportError:
			_A     :      int   					=False

_A     :      Union[str, Any]   					=logging.get_logger(__name__)  # pylint: disable=invalid-name





def 			SCREAMING_SNAKE_CASE_	(UpperCamelCase				)				->	Tuple:
							return AddNewModelCommand(args.testing    ,      args.testing_file    ,      path=args.path				)



class _lowercase     (    _lowercase		):




							@staticmethod
							def 		lowerCamelCase_    (							UpperCamelCase__:    ArgumentParser					):
														lowerCamelCase__ :     List[str]	  =	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=UpperCamelCase__      ,							help="""Configuration file on which to run."""					)
														add_new_model_parser.add_argument(
														    """--path"""      ,							type=UpperCamelCase__      ,							help="""Path to cookiecutter. Should only be used for testing purposes."""					)
														add_new_model_parser.set_defaults(func=UpperCamelCase__					)




							def __init__(							self:    Optional[int]      ,							UpperCamelCase__:    bool      ,							UpperCamelCase__:    str      ,							UpperCamelCase__:    str=None      ,							*UpperCamelCase__:    Optional[int]					):
														lowerCamelCase__ :     List[Any]	  =	testing
														lowerCamelCase__ :     Tuple	  =	testing_file
														lowerCamelCase__ :     int	  =	path




							def 		lowerCamelCase_    (							self:    int					):
														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
														lowerCamelCase__ :     List[Any]	  =	[directory for directory in os.listdir() if """cookiecutter-template-""" == directory[:22]]
														if len(UpperCamelCase__					) > 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."""					)

														lowerCamelCase__ :     int	  =	(
														    Path(UpperCamelCase__					).parent.parent.parent.parent if self._path is None else Path(self._path					).parent.parent
														)
														lowerCamelCase__ :     int	  =	path_to_transformer_root / """templates""" / """adding_a_new_model"""

														# Execute cookiecutter
														if not self._testing:
																					cookiecutter(str(UpperCamelCase__					)					)
														else:
																					with open(self._testing_file      ,							"""r"""					) as configuration_file:
																												lowerCamelCase__ :     List[str]	  =	json.load(UpperCamelCase__					)

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

														lowerCamelCase__ :     Optional[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:
																					lowerCamelCase__ :     int	  =	json.load(UpperCamelCase__					)

														lowerCamelCase__ :     Tuple	  =	configuration["""lowercase_modelname"""]
														lowerCamelCase__ :     int	  =	configuration["""generate_tensorflow_pytorch_and_flax"""]
														os.remove(F'''{directory}/configuration.json'''					)

														lowerCamelCase__ :     Union[str, Any]	  =	"""PyTorch""" in generate_tensorflow_pytorch_and_flax
														lowerCamelCase__ :     Union[str, Any]	  =	"""TensorFlow""" in generate_tensorflow_pytorch_and_flax
														lowerCamelCase__ :     Tuple	  =	"""Flax""" in generate_tensorflow_pytorch_and_flax

														lowerCamelCase__ :     List[str]	  =	F'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
														os.makedirs(UpperCamelCase__      ,							exist_ok=UpperCamelCase__					)
														os.makedirs(F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''      ,							exist_ok=UpperCamelCase__					)

														# 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(UpperCamelCase__:    Optional[int]					):
																					with open(UpperCamelCase__      ,							"""r"""					) as f:
																												lowerCamelCase__ :     Union[str, Any]	  =	f.readlines()
																					with open(UpperCamelCase__      ,							"""w"""					) as f:
																												for line in lines:
																																			if "# Copied from transformers." not in line:
																																										f.write(UpperCamelCase__					)

														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(UpperCamelCase__:    str      ,							UpperCamelCase__:    str      ,							UpperCamelCase__:    List[str]					):
																					# Create temp file
																					lowerCamelCase__  ,		lowerCamelCase__ :     Any	  =	mkstemp()
																					lowerCamelCase__ :     Tuple	  =	False
																					with fdopen(UpperCamelCase__      ,							"""w"""					) as new_file:
																												with open(UpperCamelCase__					) as old_file:
																																			for line in old_file:
																																										new_file.write(UpperCamelCase__					)
																																										if line_to_copy_below in line:
																																																	lowerCamelCase__ :     int	  =	True
																																																	for line_to_copy in lines_to_copy:
																																																								new_file.write(UpperCamelCase__					)

																					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(UpperCamelCase__      ,							UpperCamelCase__					)
																					# Remove original file
																					remove(UpperCamelCase__					)
																					# Move new file
																					move(UpperCamelCase__      ,							UpperCamelCase__					)

														def skip_units(UpperCamelCase__:    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(UpperCamelCase__:    List[str]					):
																					with open(UpperCamelCase__					) as datafile:
																												lowerCamelCase__ :     int	  =	[]
																												lowerCamelCase__ :     Tuple	  =	False
																												lowerCamelCase__ :     int	  =	False
																												for line in datafile:
																																			if "# To replace in: " in line and "##" not in line:
																																										lowerCamelCase__ :     List[str]	  =	line.split("""\""""					)[1]
																																										lowerCamelCase__ :     List[str]	  =	skip_units(UpperCamelCase__					)
																																			elif "# Below: " in line and "##" not in line:
																																										lowerCamelCase__ :     List[Any]	  =	line.split("""\""""					)[1]
																																										lowerCamelCase__ :     Union[str, Any]	  =	skip_units(UpperCamelCase__					)
																																			elif "# End." in line and "##" not in line:
																																										if not skip_file and not skip_snippet:
																																																	replace(UpperCamelCase__      ,							UpperCamelCase__      ,							UpperCamelCase__					)

																																										lowerCamelCase__ :     Union[str, Any]	  =	[]
																																			elif "# Replace with" in line and "##" not in line:
																																										lowerCamelCase__ :     str	  =	[]
																																			elif "##" not in line:
																																										lines_to_copy.append(UpperCamelCase__					)

																					remove(UpperCamelCase__					)

														replace_in_files(F'''{directory}/to_replace_{lowercase_model_name}.py'''					)
														os.rmdir(UpperCamelCase__					)

