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  snake_case  (       snake_case__			:Namespace)						->   str:
       return AddNewModelCommand(args.testing   ,	args.testing_file   ,	path=args.path)







class 				a							(			__lowerCAmelCase       ):







 """simple docstring"""






 @staticmethod
 def      UpperCAmelCase							(					lowerCAmelCase_							)  ->					Any:
        _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		,				lowerCAmelCase_		,				lowerCAmelCase_		,				lowerCAmelCase_=None		,				*lowerCAmelCase_							)  ->					Any:
        _A        =  testing
        _A        =  testing_file
        _A        =  path



 def      UpperCAmelCase							(					self							)  ->					Tuple:
        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_							):
               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_		,				lowerCAmelCase_		,				lowerCAmelCase_							):
               # 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_							):
               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_							):
               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_							)





from math import isqrt, loga






def  snake_case  (       snake_case__			:int)						->   list[int]:
       _A        =  [True] * max_number
       for i in range(2   ,	isqrt(max_number - 1) + 1):
              if is_prime[i]:
                     for j in range(i**2   ,	snake_case__   ,	snake_case__):
                            _A        =  False

       return [i for i in range(2   ,	snake_case__) if is_prime[i]]






def  snake_case  (       snake_case__			:int = 800_800   ,	snake_case__			:int = 800_800)						->   int:
       _A        =  degree * loga(snake_case__)
       _A        =  int(snake_case__)
       _A        =  calculate_prime_numbers(snake_case__)

       _A        =  0
       _A        =  0
       _A        =  len(snake_case__) - 1
       while left < right:
              while (
                  prime_numbers[right] * loga(prime_numbers[left])
                  + prime_numbers[left] * loga(prime_numbers[right])
                  > upper_bound
              ):
                     right -= 1
              hybrid_integers_count += right - left
              left += 1

       return hybrid_integers_count


if __name__ == "__main__":
    print(F'''{solution() = }''')




