


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 				UpperCAmelCase_					(							__snake_case						)     ->			Any:







 """simple docstring"""


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







class       lowerCamelCase__   (       A__):





     @staticmethod
     def      __A					(UpperCAmelCase       )     ->   Dict:
      _lowercase							      =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		,     UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase=None		,     *UpperCAmelCase       )     ->   Union[str, Any]:
      _lowercase							      =testing
      _lowercase							      =testing_file
      _lowercase							      =path





     def      __A					(self       )     ->   int:
      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							      =[directory for directory in os.listdir() if '''cookiecutter-template-''' == directory[:2_2]]
      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.'''       )

      _lowercase							      =(
          Path(_a       ).parent.parent.parent.parent if self._path is None else Path(self._path       ).parent.parent
      )
      _lowercase							      =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:
        _lowercase							      =json.load(_a       )

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

      _lowercase							      =[directory for directory in os.listdir() if '''cookiecutter-template-''' in directory[:2_2]][0]

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

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

      _lowercase							      ='''PyTorch''' in generate_tensorflow_pytorch_and_flax
      _lowercase							      ='''TensorFlow''' in generate_tensorflow_pytorch_and_flax
      _lowercase							      ='''Flax''' in generate_tensorflow_pytorch_and_flax

      _lowercase							      =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(UpperCAmelCase       ):
       with open(_a		,     '''r'''       ) as f:
        _lowercase							      =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(UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase       ):
       # Create temp file
       _lowercase      ,    _lowercase							      =mkstemp()
       _lowercase							      =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:
           _lowercase							      =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(UpperCAmelCase       ):
       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       ):
       with open(_a       ) as datafile:
        _lowercase							      =[]
        _lowercase							      =False
        _lowercase							      =False
        for line in datafile:
         if "# To replace in: " in line and "##" not in line:
          _lowercase							      =line.split('''"'''       )[1]
          _lowercase							      =skip_units(_a       )
         elif "# Below: " in line and "##" not in line:
          _lowercase							      =line.split('''"'''       )[1]
          _lowercase							      =skip_units(_a       )
         elif "# End." in line and "##" not in line:
          if not skip_file and not skip_snippet:
           replace(_a		,     _a		,     _a       )

          _lowercase							      =[]
         elif "# Replace with" in line and "##" not in line:
          _lowercase							      =[]
         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 __future__ import annotations

import math


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			bool:
     """simple docstring"""




     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5							, int(math.sqrt(_UpperCamelCase				) + 1				)							, 6				):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =str(_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =[n]
     for i in range(1							, len(_UpperCamelCase				)				):
          list_nums.append(int(str_num[i:]				)				)
          list_nums.append(int(str_num[:-i]				)				)
     return list_nums


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			bool:
     """simple docstring"""




     if len(str(_UpperCamelCase				)				) > 3:
          if not is_prime(int(str(_UpperCamelCase				)[-3:]				)				) or not is_prime(int(str(_UpperCamelCase				)[:3]				)				):
               return False
     return True


def        _lowerCAmelCase					(						_UpperCamelCase						:     int = 11				)      ->			list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =[]
     _SCREAMING_SNAKE_CASE							    =13
     while len(_UpperCamelCase				) != count:
          if validate(_UpperCamelCase				):
               _SCREAMING_SNAKE_CASE							    =list_truncated_nums(_UpperCamelCase				)
               if all(is_prime(_UpperCamelCase				) for i in list_nums				):
                    list_truncated_primes.append(_UpperCamelCase				)
          num += 2
     return list_truncated_primes


def        _lowerCAmelCase					(						)      ->			int:
     """simple docstring"""




     return sum(compute_truncated_primes(11				)				)


if __name__ == "__main__":
     print(f'''{sum(compute_truncated_primes(1_1)) = }''')
