





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

							UpperCAmelCase_							=				True
except ImportError:
							UpperCAmelCase_							=				False

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





def  __magic_name__  (				lowercase				)				-> int:

							"""simple docstring"""



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




class     UpperCamelCase__					(     __SCREAMING_SNAKE_CASE				):






		'''simple docstring'''






		@staticmethod
		def 						snake_case__				(							snake_case__  )       -> Optional[Any]:






									"""simple docstring"""
									lowercase_	:   List[Any]  				=     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,   snake_case__,   snake_case__,   snake_case__=None,   *snake_case__  )       -> List[str]:






									"""simple docstring"""
									lowercase_	:   Optional[int]  				=     testing
									lowercase_	:   Optional[Any]  				=     testing_file
									lowercase_	:   int  				=     path






		def 						snake_case__				(							self  )       -> Any:






									"""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
									lowercase_	:   Optional[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."""  )

									lowercase_	:   List[Any]  				=     (
									    Path(UpperCamelCase__  ).parent.parent.parent.parent if self._path is None else Path(self._path  ).parent.parent
									)
									lowercase_	:   List[str]  				=     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:
																							lowercase_	:   Tuple  				=     json.load(UpperCamelCase__  )

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

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

									# Retrieve configuration
									with open(directory + """/configuration.json""",   """r"""  ) as configuration_file:
																lowercase_	:   List[Any]  				=     json.load(UpperCamelCase__  )

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

									lowercase_	:   Dict  				=     '''PyTorch''' in generate_tensorflow_pytorch_and_flax
									lowercase_	:   Any  				=     '''TensorFlow''' in generate_tensorflow_pytorch_and_flax
									lowercase_	:   Optional[int]  				=     '''Flax''' in generate_tensorflow_pytorch_and_flax

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

																																					lowercase_	:   Union[str, Any]  				=     []
																														elif "# Replace with" in line and "##" not in line:
																																					lowercase_	:   Optional[Any]  				=     []
																														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__  )

'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__						       =      TypeVar("T")






class 	snake_case__       (      Generic[T]					):







		"""simple docstring"""

		def __init__(      self				:			str  ,	UpperCamelCase__				:			list[T]  ,	UpperCamelCase__				:			Callable[[T, T], T]      )						->			None:






				"""simple docstring"""







				snake_case  :       Any | T     			=						None

				snake_case  :       int     			=						len(UpperCamelCase__      )
				snake_case  :       list[T]     			=						[any_type for _ in range(self.N      )] + arr
				snake_case  :       Optional[int]     			=						fnc
				self.build()



		def       lowerCAmelCase				(      self				:			Optional[Any]      )						->			None:






				"""simple docstring"""







				for p in range(self.N - 1  ,	0  ,	-1      ):
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			List[Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			T      )						->			None:






				"""simple docstring"""







				p += self.N
				snake_case  :       int     			=						v
				while p > 1:
						snake_case  :       List[Any]     			=						p // 2
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			Union[str, Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			int      )						->			T | None:  # noqa: E741






				"""simple docstring"""







				snake_case			,snake_case  :       Union[str, Any]     			=						l + self.N, r + self.N

				snake_case  :       T | None     			=						None
				while l <= r:
						if l % 2 == 1:
								snake_case  :       str     			=						self.st[l] if res is None else self.fn(UpperCamelCase__  ,	self.st[l]      )
						if r % 2 == 0:
								snake_case  :       Tuple     			=						self.st[r] if res is None else self.fn(UpperCamelCase__  ,	self.st[r]      )
						snake_case			,snake_case  :       Dict     			=						(l + 1) // 2, (r - 1) // 2
				return res


if __name__ == "__main__":
						from functools import reduce

						lowercase__						       =      [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

						lowercase__						       =      {
						    0: 7,
						    1: 2,
						    2: 6,
						    3: -1_4,
						    4: 5,
						    5: 4,
						    6: 7,
						    7: -1_0,
						    8: 9,
						    9: 1_0,
						    1_0: 1_2,
						    1_1: 1,
						}

						lowercase__						       =      SegmentTree(test_array, min)
						lowercase__						       =      SegmentTree(test_array, max)
						lowercase__						       =      SegmentTree(test_array, lambda a, b: a + b)




						def    _UpperCamelCase						(       )  ->							None:


								'''simple docstring'''


								for i in range(len(SCREAMING_SNAKE_CASE__			)			):
										for j in range(SCREAMING_SNAKE_CASE__ ,       len(SCREAMING_SNAKE_CASE__			)			):
												snake_case  :       int     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       List[str]     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       Tuple     			=						reduce(lambda SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			: a + b ,       test_array[i : j + 1]			)
												assert min_range == min_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert max_range == max_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert sum_range == sum_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)

						test_all_segments()

						for index, value in test_updates.items():
												lowercase__						       =      value
												min_segment_tree.update(index, value)
												max_segment_tree.update(index, value)
												sum_segment_tree.update(index, value)
												test_all_segments()


