





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

							lowerCamelCase_  :	Any 				=					True
except ImportError:
							lowerCamelCase_  :	Optional[int] 				=					False

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







def     A__   (  lowerCamelCase  )					->		Optional[int]:
				return AddNewModelCommand(args.testing       ,      args.testing_file       ,      path=args.path  )





class     _UpperCamelCase			(   _A					):






			'''simple docstring'''

			@staticmethod
			def  lowerCAmelCase__		(    snake_case_	:    ArgumentParser ):
							UpperCamelCase_:							Tuple		=  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=snake_case_  ,		help="""Configuration file on which to run.""" )
							add_new_model_parser.add_argument(
							    """--path"""  ,		type=snake_case_  ,		help="""Path to cookiecutter. Should only be used for testing purposes.""" )
							add_new_model_parser.set_defaults(func=snake_case_ )

			def __init__(    self	:    Dict  ,		snake_case_	:    bool  ,		snake_case_	:    str  ,		snake_case_	:    Union[str, Any]=None  ,		*snake_case_	:    List[str] ):
							UpperCamelCase_:							List[Any]		=  testing
							UpperCamelCase_:							Tuple		=  testing_file
							UpperCamelCase_:							str		=  path




			def  lowerCAmelCase__		(    self	:    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_:							Union[str, Any]		=  [directory for directory in os.listdir() if """cookiecutter-template-""" == directory[:22]]
							if len(snake_case_ ) > 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_:							Dict		=  (
							    Path(snake_case_ ).parent.parent.parent.parent if self._path is None else Path(self._path ).parent.parent
							)
							UpperCamelCase_:							Dict		=  path_to_transformer_root / """templates""" / """adding_a_new_model"""

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

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

							UpperCamelCase_:							Optional[int]		=  [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_:							int		=  json.load(snake_case_ )

							UpperCamelCase_:							Union[str, Any]		=  configuration["""lowercase_modelname"""]
							UpperCamelCase_:							Dict		=  configuration["""generate_tensorflow_pytorch_and_flax"""]
							os.remove(f'''{directory}/configuration.json''' )

							UpperCamelCase_:							str		=  """PyTorch""" in generate_tensorflow_pytorch_and_flax
							UpperCamelCase_:							Union[str, Any]		=  """TensorFlow""" in generate_tensorflow_pytorch_and_flax
							UpperCamelCase_:							Dict		=  """Flax""" in generate_tensorflow_pytorch_and_flax

							UpperCamelCase_:							int		=  f'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
							os.makedirs(snake_case_  ,		exist_ok=snake_case_ )
							os.makedirs(f'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''  ,		exist_ok=snake_case_ )

							# 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(snake_case_	:    Any ):
											with open(snake_case_  ,		"""r""" ) as f:
															UpperCamelCase_:							Any		=  f.readlines()
											with open(snake_case_  ,		"""w""" ) as f:
															for line in lines:
																			if "# Copied from transformers." not in line:
																							f.write(snake_case_ )

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

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

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

																							UpperCamelCase_:							str		=  []
																			elif "# Replace with" in line and "##" not in line:
																							UpperCamelCase_:							Tuple		=  []
																			elif "##" not in line:
																							lines_to_copy.append(snake_case_ )

											remove(snake_case_ )

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








import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_rjieba
@require_tokenizers
class     _UpperCamelCase			(   _A       ,    unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  Union[str, Any]    =	RoFormerTokenizer
			__UpperCamelCase :  Union[str, Any]    =	RoFormerTokenizerFast
			__UpperCamelCase :  Optional[Any]    =	True
			__UpperCamelCase :  Tuple    =	True

			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							super().setUp()

			def  lowerCAmelCase__		(    self	:    List[str]  ,		**snake_case_	:    Union[str, Any] ):
							return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""  ,		**snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict  ,		**snake_case_	:    Union[str, Any] ):
							return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""  ,		**snake_case_ )

			def  lowerCAmelCase__		(    self	:    Any ):
							UpperCamelCase_:							int		=  """永和服装饰品有限公司,今天天气非常好"""
							UpperCamelCase_:							int		=  """永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"""
							return input_text, output_text

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Dict		=  self.get_tokenizer()
							UpperCamelCase_,				UpperCamelCase_:							Optional[int]		=  self.get_chinese_input_output_texts()
							UpperCamelCase_:							Optional[int]		=  tokenizer.tokenize(snake_case_ )

							self.assertListEqual(snake_case_  ,		output_text.split() )

							UpperCamelCase_:							Dict		=  tokens + [tokenizer.unk_token]
							UpperCamelCase_:							int		=  [2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_ )  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Optional[int]		=  self.get_rust_tokenizer()
							UpperCamelCase_,				UpperCamelCase_:							Any		=  self.get_chinese_input_output_texts()
							UpperCamelCase_:							int		=  tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		output_text.split() )
							UpperCamelCase_:							Union[str, Any]		=  tokens + [tokenizer.unk_token]
							UpperCamelCase_:							Optional[Any]		=  [2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_ )  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict ):
							pass

			def  lowerCAmelCase__		(    self	:    Tuple ):
							pass




			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							pass






