




'''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 : Union[str, Any]  				=						True
except ImportError:
				_snake_case : Tuple  				=						False

_snake_case : List[str]  				=						logging.get_logger(__name__)  # pylint: disable=invalid-name
def 						snake_case_       (UpperCamelCase			:    Namespace ):





							'''simple docstring'''


							return AddNewModelCommand(args.testing					,		args.testing_file					,		path=args.path )

class      A       (						_a       ):







							@staticmethod
							def   __lowerCAmelCase     (    lowerCAmelCase_			:    ArgumentParser   )     ->				Any:


														"""simple docstring"""


														_a      	=							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=lowerCAmelCase_				,     help='''Configuration file on which to run.'''   )
														add_new_model_parser.add_argument(
														    '''--path'''				,     type=lowerCAmelCase_				,     help='''Path to cookiecutter. Should only be used for testing purposes.'''   )
														add_new_model_parser.set_defaults(func=lowerCAmelCase_   )







							def __init__(    self			:    Optional[Any]				,     lowerCAmelCase_			:    bool				,     lowerCAmelCase_			:    str				,     lowerCAmelCase_			:    List[str]=None				,     *lowerCAmelCase_			:    Tuple   )     ->				Optional[int]:


														"""simple docstring"""


														_a      	=							testing
														_a      	=							testing_file
														_a      	=							path







							def   __lowerCAmelCase     (    self			:    Union[str, Any]   )     ->				Dict:


														"""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
														_a      	=							[directory for directory in os.listdir() if '''cookiecutter-template-''' == directory[:22]]
														if len(lowerCAmelCase_   ) > 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.'''   )

														_a      	=							(
														    Path(lowerCAmelCase_   ).parent.parent.parent.parent if self._path is None else Path(self._path   ).parent.parent
														)
														_a      	=							path_to_transformer_root / '''templates''' / '''adding_a_new_model'''

														# Execute cookiecutter
														if not self._testing:
																					cookiecutter(str(lowerCAmelCase_   )   )
														else:
																					with open(self._testing_file				,     '''r'''   ) as configuration_file:
																												_a      	=							json.load(lowerCAmelCase_   )

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

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

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

														_a      	=							configuration['''lowercase_modelname''']
														_a      	=							configuration['''generate_tensorflow_pytorch_and_flax''']
														os.remove(F'{directory}/configuration.json'   )

														_a      	=							'''PyTorch''' in generate_tensorflow_pytorch_and_flax
														_a      	=							'''TensorFlow''' in generate_tensorflow_pytorch_and_flax
														_a      	=							'''Flax''' in generate_tensorflow_pytorch_and_flax

														_a      	=							F'{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'
														os.makedirs(lowerCAmelCase_				,     exist_ok=lowerCAmelCase_   )
														os.makedirs(F'{path_to_transformer_root}/tests/models/{lowercase_model_name}'				,     exist_ok=lowerCAmelCase_   )

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

														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
																					_a	,				_a      	=							mkstemp()
																					_a      	=							False
																					with fdopen(lowerCAmelCase_				,     '''w'''   ) as new_file:
																												with open(lowerCAmelCase_   ) as old_file:
																																			for line in old_file:
																																										new_file.write(lowerCAmelCase_   )
																																										if line_to_copy_below in line:
																																																	_a      	=							True
																																																	for line_to_copy in lines_to_copy:
																																																								new_file.write(lowerCAmelCase_   )

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

														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_			:    Optional[Any]   ):
																					with open(lowerCAmelCase_   ) as datafile:
																												_a      	=							[]
																												_a      	=							False
																												_a      	=							False
																												for line in datafile:
																																			if "# To replace in: " in line and "##" not in line:
																																										_a      	=							line.split('''"'''   )[1]
																																										_a      	=							skip_units(lowerCAmelCase_   )
																																			elif "# Below: " in line and "##" not in line:
																																										_a      	=							line.split('''"'''   )[1]
																																										_a      	=							skip_units(lowerCAmelCase_   )
																																			elif "# End." in line and "##" not in line:
																																										if not skip_file and not skip_snippet:
																																																	replace(lowerCAmelCase_				,     lowerCAmelCase_				,     lowerCAmelCase_   )

																																										_a      	=							[]
																																			elif "# Replace with" in line and "##" not in line:
																																										_a      	=							[]
																																			elif "##" not in line:
																																										lines_to_copy.append(lowerCAmelCase_   )

																					remove(lowerCAmelCase_   )

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







'''simple docstring'''


from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass

@dataclass
class      A       :
							lowercase_							     =							42
							lowercase_							     =							42



class      A       :







							def __init__(    self			:    Optional[Any]				,     lowerCAmelCase_			:    int   )     ->				str:


														"""simple docstring"""


														_a      	=							[[] for _ in range(lowerCAmelCase_   )]
														_a      	=							size







							def __getitem__(    self			:    Any				,     lowerCAmelCase_			:    int   )     ->				Iterator[Edge]:


														"""simple docstring"""


														return iter(self._graph[vertex]   )







							@property
							def   __lowerCAmelCase     (    self			:    str   )     ->				Tuple:


														"""simple docstring"""


														return self._size







							def   __lowerCAmelCase     (    self			:    Union[str, Any]				,     lowerCAmelCase_			:    int				,     lowerCAmelCase_			:    int				,     lowerCAmelCase_			:    int   )     ->				Dict:


														"""simple docstring"""


														if weight not in (0, 1):
																					raise ValueError('''Edge weight must be either 0 or 1.'''   )

														if to_vertex < 0 or to_vertex >= self.size:
																					raise ValueError('''Vertex indexes must be in [0; size).'''   )

														self._graph[from_vertex].append(Edge(lowerCAmelCase_				,     lowerCAmelCase_   )   )







							def   __lowerCAmelCase     (    self			:    Tuple				,     lowerCAmelCase_			:    int				,     lowerCAmelCase_			:    int   )     ->				int | None:


														"""simple docstring"""


														_a      	=							deque([start_vertex]   )
														_a      	=							[None] * self.size
														_a      	=							0

														while queue:
																					_a      	=							queue.popleft()
																					_a      	=							distances[current_vertex]
																					if current_distance is None:
																												continue

																					for edge in self[current_vertex]:
																												_a      	=							current_distance + edge.weight
																												_a      	=							distances[edge.destination_vertex]
																												if (
																												    isinstance(lowerCAmelCase_				,     lowerCAmelCase_   )
																												    and new_distance >= dest_vertex_distance
																												):
																																			continue
																												_a      	=							new_distance
																												if edge.weight == 0:
																																			queue.appendleft(edge.destination_vertex   )
																												else:
																																			queue.append(edge.destination_vertex   )

														if distances[finish_vertex] is None:
																					raise ValueError('''No path from start_vertex to finish_vertex.'''   )

														return distances[finish_vertex]


if __name__ == "__main__":
				import doctest

				doctest.testmod()

