
"""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

		_SCREAMING_SNAKE_CASE	       =      True
except ImportError:
		_SCREAMING_SNAKE_CASE	       =      False

_SCREAMING_SNAKE_CASE	       =      logging.get_logger(__name__)  # pylint: disable=invalid-name
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Any:







							"""simple docstring"""


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







class 							__magic_name__     (		__lowerCamelCase   ):





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





					def __init__(				self   :							Optional[Any]							,						snake_case_   :							Any							,						snake_case_   :							Any							,						snake_case_   :							str=None							,						*snake_case_   :							Optional[Any]    ):
												__snake_case     			=       testing
												__snake_case     			=       testing_file
												__snake_case     			=       path





					def 							lowerCAmelCase      (				self   :							Dict    ):
												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     			=       [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
												if len(a_    ) > 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     			=       (
												    Path(a_    ).parent.parent.parent.parent if self._path is None else Path(self._path    ).parent.parent
												)
												__snake_case     			=       path_to_transformer_root / "templates" / "adding_a_new_model"

												# Execute cookiecutter
												if not self._testing:
																			cookiecutter(str(a_    )    )
												else:
																			with open(self._testing_file							,						"r"    ) as configuration_file:
																										__snake_case     			=       json.load(a_    )

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

												__snake_case     			=       [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     			=       json.load(a_    )

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

												__snake_case     			=       "PyTorch" in generate_tensorflow_pytorch_and_flax
												__snake_case     			=       "TensorFlow" in generate_tensorflow_pytorch_and_flax
												__snake_case     			=       "Flax" in generate_tensorflow_pytorch_and_flax

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

												# 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_   :							List[str]    ):
																			with open(a_							,						"r"    ) as f:
																										__snake_case     			=       f.readlines()
																			with open(a_							,						"w"    ) as f:
																										for line in lines:
																																	if "# Copied from transformers." not in line:
																																								f.write(a_    )

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

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

												def skip_units(snake_case_   :							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(snake_case_   :							Optional[int]    ):
																			with open(a_    ) as datafile:
																										__snake_case     			=       []
																										__snake_case     			=       False
																										__snake_case     			=       False
																										for line in datafile:
																																	if "# To replace in: " in line and "##" not in line:
																																								__snake_case     			=       line.split("\""    )[1]
																																								__snake_case     			=       skip_units(a_    )
																																	elif "# Below: " in line and "##" not in line:
																																								__snake_case     			=       line.split("\""    )[1]
																																								__snake_case     			=       skip_units(a_    )
																																	elif "# End." in line and "##" not in line:
																																								if not skip_file and not skip_snippet:
																																															replace(a_							,						a_							,						a_    )

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

																			remove(a_    )

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


"""simple docstring"""







from heapq import heappop, heappush

import numpy as np
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    )  ->     tuple[float | int, list[tuple[int, int]]]:







							"""simple docstring"""


							__snake_case			,   __snake_case     			=       grid.shape
							__snake_case     			=       [-1, 1, 0, 0]
							__snake_case     			=       [0, 0, -1, 1]
							if allow_diagonal:
														dx += [-1, -1, 1, 1]
														dy += [-1, 1, -1, 1]

							__snake_case			,   __snake_case     			=       [(0, source)], set()
							__snake_case     			=       np.full((rows, cols)							,    np.inf )
							__snake_case     			=       0
							__snake_case     			=       np.empty((rows, cols)							,    dtype=SCREAMING_SNAKE_CASE )
							__snake_case     			=       None

							while queue:
														((__snake_case)			,   (__snake_case))     			=       heappop(SCREAMING_SNAKE_CASE )
														if (x, y) in visited:
																					continue
														visited.add((x, y) )

														if (x, y) == destination:
																					__snake_case     			=       []
																					while (x, y) != source:
																												path.append((x, y) )
																												__snake_case			,   __snake_case     			=       predecessors[x, y]
																					path.append(SCREAMING_SNAKE_CASE )  # add the source manually
																					path.reverse()
																					return matrix[destination], path

														for i in range(len(SCREAMING_SNAKE_CASE ) ):
																					__snake_case			,   __snake_case     			=       x + dx[i], y + dy[i]
																					if 0 <= nx < rows and 0 <= ny < cols:
																												__snake_case     			=       grid[nx][ny]
																												if next_node == 1 and matrix[nx, ny] > dist + 1:
																																			heappush(SCREAMING_SNAKE_CASE							,    (dist + 1, (nx, ny)) )
																																			__snake_case     			=       dist + 1
																																			__snake_case     			=       (x, y)

							return np.inf, []


if __name__ == "__main__":
		import doctest

		doctest.testmod()
