


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

       lowercase_	   =     True
except ImportError:
       lowercase_	   =     False

lowercase_	   =     logging.get_logger(__name__)  # pylint: disable=invalid-name
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 return AddNewModelCommand(args.testing      ,	args.testing_file      ,	path=args.path						)



class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      @staticmethod
      def 					_snake_case     (    a:	ArgumentParser    ):
       __lowerCamelCase		:							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=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:	str						,				a:	bool						,				a:	str						,				a:	str=None						,				*a:	Optional[Any]    ):
       __lowerCamelCase		:							Optional[int]		 =						testing
       __lowerCamelCase		:							Union[str, Any]		 =						testing_file
       __lowerCamelCase		:							Tuple		 =						path




      def 					_snake_case     (    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
       __lowerCamelCase		:							str		 =						[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.'    )

       __lowerCamelCase		:							Any		 =						(
           Path(a    ).parent.parent.parent.parent if self._path is None else Path(self._path    ).parent.parent
       )
       __lowerCamelCase		:							Union[str, Any]		 =						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:
         __lowerCamelCase		:							str		 =						json.load(a    )

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

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

       # Retrieve configuration
       with open(directory + '/configuration.json'						,				'r'    ) as configuration_file:
        __lowerCamelCase		:							Optional[int]		 =						json.load(a    )

       __lowerCamelCase		:							List[str]		 =						configuration['lowercase_modelname']
       __lowerCamelCase		:							List[Any]		 =						configuration['generate_tensorflow_pytorch_and_flax']
       os.remove(F'{directory}/configuration.json'    )

       __lowerCamelCase		:							Any		 =						'PyTorch' in generate_tensorflow_pytorch_and_flax
       __lowerCamelCase		:							Optional[Any]		 =						'TensorFlow' in generate_tensorflow_pytorch_and_flax
       __lowerCamelCase		:							Union[str, Any]		 =						'Flax' in generate_tensorflow_pytorch_and_flax

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

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





from __future__ import annotations
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Optional[Any]		 =						0.00
 __lowerCamelCase		:							Tuple		 =						0
 for resistor in resistors:
  if resistor <= 0:
   __lowerCamelCase		:							Union[str, Any]		 =						f'Resistor at index {index} has a negative or zero value!'
   raise ValueError(SCREAMING_SNAKE_CASE__						)
  first_sum += 1 / float(SCREAMING_SNAKE_CASE__						)
  index += 1
 return 1 / first_sum
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Union[str, Any]		 =						0.00
 __lowerCamelCase		:							str		 =						0
 for resistor in resistors:
  sum_r += resistor
  if resistor < 0:
   __lowerCamelCase		:							Any		 =						f'Resistor at index {index} has a negative value!'
   raise ValueError(SCREAMING_SNAKE_CASE__						)
  index += 1
 return sum_r


if __name__ == "__main__":
       import doctest

       doctest.testmod()

