






"""simple docstring"""






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						:						int					   =       True
except ImportError:
     SCREAMING_SNAKE_CASE						:						Tuple					   =       False

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



def  __lowerCamelCase					(					lowerCAmelCase__				):
    return AddNewModelCommand(args.testing       ,args.testing_file       ,path=args.path				)







class       snake_case_       (    UpperCamelCase_       ):



 """simple docstring"""

 @staticmethod
 def       _UpperCAmelCase						(      __a						):


     """simple docstring"""

     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=__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  ,					__a  ,					__a  ,					__a=None  ,					*__a						):


     """simple docstring"""

     A__							 =       testing
     A__							 =       testing_file
     A__							 =       path






 def       _UpperCAmelCase						(      self						):


     """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
     A__							 =       [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.'						)

     A__							 =       (
         Path(__a						).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(__a						)						)
     else:
         with open(self._testing_file  ,					'r'						) as configuration_file:
             A__							 =       json.load(__a						)

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

     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(__a						)

     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(__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						):
         with open(__a  ,					'r'						) as f:
             A__							 =       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  ,					__a  ,					__a						):
         # Create temp file
         A__							 =       mkstemp()
         A__							 =       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:
                         A__							 =       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						):
         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						):
         with open(__a						) 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(__a						)
                 elif "# Below: " in line and "##" not in line:
                     A__							 =       line.split('"'						)[1]
                     A__							 =       skip_units(__a						)
                 elif "# End." in line and "##" not in line:
                     if not skip_file and not skip_snippet:
                         replace(__a  ,					__a  ,					__a						)

                     A__							 =       []
                 elif "# Replace with" in line and "##" not in line:
                     A__							 =       []
                 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 math import factorial, pi



def  __lowerCamelCase					(					lowerCAmelCase__       ,lowerCAmelCase__ = 30				):

				if not isinstance(lowerCAmelCase__       ,(int, float)				):
								raise ValueError('maclaurin_sin() requires either an int or float for theta'				)

				if not isinstance(lowerCAmelCase__       ,lowerCAmelCase__				) or accuracy <= 0:
								raise ValueError('maclaurin_sin() requires a positive int for accuracy'				)

				A__							 =       float(lowerCAmelCase__				)
				A__							 =       theta // (2 * pi)
				theta -= 2 * div * pi
				return sum(
				    (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1				) for r in range(lowerCAmelCase__				)				)



def  __lowerCamelCase					(					lowerCAmelCase__       ,lowerCAmelCase__ = 30				):

				if not isinstance(lowerCAmelCase__       ,(int, float)				):
								raise ValueError('maclaurin_cos() requires either an int or float for theta'				)

				if not isinstance(lowerCAmelCase__       ,lowerCAmelCase__				) or accuracy <= 0:
								raise ValueError('maclaurin_cos() requires a positive int for accuracy'				)

				A__							 =       float(lowerCAmelCase__				)
				A__							 =       theta // (2 * pi)
				theta -= 2 * div * pi
				return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r				) for r in range(lowerCAmelCase__				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					print(maclaurin_sin(10))
					print(maclaurin_sin(-10))
					print(maclaurin_sin(10, 15))
					print(maclaurin_sin(-10, 15))

					print(maclaurin_cos(5))
					print(maclaurin_cos(-5))
					print(maclaurin_cos(10, 15))
					print(maclaurin_cos(-10, 15))


