



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     :							Optional[Any]  							=				True
except ImportError:
		__lowerCamelCase     :							Union[str, Any]  							=				False

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

def    lowerCamelCase_(lowerCamelCase_    ) ->       List[str]:
						return AddNewModelCommand(args.testing    ,   args.testing_file    ,   path=args.path    )





class  __magic_name__   (							A__						):






		@staticmethod
		def SCREAMING_SNAKE_CASE_			(						UpperCamelCase__      :     ArgumentParser      )				->					Union[str, Any]:
								'''simple docstring'''







								UpperCAmelCase         =     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      :     Union[str, Any]				,		UpperCamelCase__      :     bool				,		UpperCamelCase__      :     str				,		UpperCamelCase__      :     int=None				,		*UpperCamelCase__      :     Any      )				->					List[str]:
								'''simple docstring'''







								UpperCAmelCase         =     testing
								UpperCAmelCase         =     testing_file
								UpperCAmelCase         =     path







		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					Union[str, 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
								UpperCAmelCase         =     [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."      )

								UpperCAmelCase         =     (
								    Path(UpperCamelCase__      ).parent.parent.parent.parent if self._path is None else Path(self._path      ).parent.parent
								)
								UpperCAmelCase         =     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:
																				UpperCAmelCase         =     json.load(UpperCamelCase__      )

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

								UpperCAmelCase         =     [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         =     json.load(UpperCamelCase__      )

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

								UpperCAmelCase         =     "PyTorch" in generate_tensorflow_pytorch_and_flax
								UpperCAmelCase         =     "TensorFlow" in generate_tensorflow_pytorch_and_flax
								UpperCAmelCase         =     "Flax" in generate_tensorflow_pytorch_and_flax

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

																																UpperCAmelCase         =     []
																										elif "# Replace with" in line and "##" not in line:
																																UpperCAmelCase         =     []
																										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__      )








def    lowerCamelCase_(lowerCamelCase_    ) ->       list[int]:
						UpperCAmelCase         =     len(lowerCamelCase_    )
						for i in range(lowerCamelCase_    ):
												for j in range(i + 1    ,   lowerCamelCase_    ):
																		if numbers[j] < numbers[i]:
																								UpperCAmelCase       ,		UpperCAmelCase         =     numbers[j], numbers[i]
						return numbers


if __name__ == "__main__":
		__lowerCamelCase     :							int  							=				input("Enter numbers separated by a comma:\n").strip()
		__lowerCamelCase     :							Dict  							=				[int(item) for item in user_input.split(",")]
		print(exchange_sort(unsorted))



