



"""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

   A:     Dict										=	True
except ImportError:
   A:     Any										=	False

A:     Tuple										=	logging.get_logger(__name__)  # pylint: disable=invalid-name

def    _snake_case		(		UpperCamelCase		:	Namespace		):
 return AddNewModelCommand(args.testing    ,	args.testing_file    ,	path=args.path		)



class    SCREAMING_SNAKE_CASE__						(      _UpperCAmelCase				):

   @staticmethod
   def 			SCREAMING_SNAKE_CASE  (     _SCREAMING_SNAKE_CASE		)						->   Any:





    '''simple docstring'''




    UpperCAmelCase			:      int			=			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=lowercase_   ,  help="""Configuration file on which to run."""		)
    add_new_model_parser.add_argument(
        """--path"""   ,  type=lowercase_   ,  help="""Path to cookiecutter. Should only be used for testing purposes."""		)
    add_new_model_parser.set_defaults(func=lowercase_		)

   def __init__(     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE=None   ,  *_SCREAMING_SNAKE_CASE		)						->   Union[str, Any]:





    '''simple docstring'''




    UpperCAmelCase			:      Union[str, Any]			=			testing
    UpperCAmelCase			:      List[Any]			=			testing_file
    UpperCAmelCase			:      int			=			path




   def 			SCREAMING_SNAKE_CASE  (     self		)						->   List[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			:      List[Any]			=			[directory for directory in os.listdir() if """cookiecutter-template-""" == directory[:22]]
    if len(lowercase_		) > 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			:      str			=			(
        Path(lowercase_		).parent.parent.parent.parent if self._path is None else Path(self._path		).parent.parent
    )
    UpperCAmelCase			:      List[Any]			=			path_to_transformer_root / """templates""" / """adding_a_new_model"""

    # Execute cookiecutter
    if not self._testing:
     cookiecutter(str(lowercase_		)		)
    else:
     with open(self._testing_file   ,  """r"""		) as configuration_file:
      UpperCAmelCase			:      Union[str, Any]			=			json.load(lowercase_		)

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

    UpperCAmelCase			:      List[Any]			=			[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			:      Optional[int]			=			json.load(lowercase_		)

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

    UpperCAmelCase			:      Any			=			"""PyTorch""" in generate_tensorflow_pytorch_and_flax
    UpperCAmelCase			:      Tuple			=			"""TensorFlow""" in generate_tensorflow_pytorch_and_flax
    UpperCAmelCase			:      Any			=			"""Flax""" in generate_tensorflow_pytorch_and_flax

    UpperCAmelCase			:      List[str]			=			F"{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}"
    os.makedirs(lowercase_   ,  exist_ok=lowercase_		)
    os.makedirs(F"{path_to_transformer_root}/tests/models/{lowercase_model_name}"   ,  exist_ok=lowercase_		)

    # 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(_SCREAMING_SNAKE_CASE		):
     with open(lowercase_   ,  """r"""		) as f:
      UpperCAmelCase			:      Union[str, Any]			=			f.readlines()
     with open(lowercase_   ,  """w"""		) as f:
      for line in lines:
       if "# Copied from transformers." not in line:
        f.write(lowercase_		)

    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(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		):
     # Create temp file
     UpperCAmelCase			:      Any			=			mkstemp()
     UpperCAmelCase			:      List[str]			=			False
     with fdopen(lowercase_   ,  """w"""		) as new_file:
      with open(lowercase_		) as old_file:
       for line in old_file:
        new_file.write(lowercase_		)
        if line_to_copy_below in line:
         UpperCAmelCase			:      int			=			True
         for line_to_copy in lines_to_copy:
          new_file.write(lowercase_		)

     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(lowercase_   ,  lowercase_		)
     # Remove original file
     remove(lowercase_		)
     # Move new file
     move(lowercase_   ,  lowercase_		)

    def skip_units(_SCREAMING_SNAKE_CASE		):
     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(_SCREAMING_SNAKE_CASE		):
     with open(lowercase_		) as datafile:
      UpperCAmelCase			:      Optional[int]			=			[]
      UpperCAmelCase			:      List[Any]			=			False
      UpperCAmelCase			:      Dict			=			False
      for line in datafile:
       if "# To replace in: " in line and "##" not in line:
        UpperCAmelCase			:      Optional[Any]			=			line.split("""\""""		)[1]
        UpperCAmelCase			:      Optional[int]			=			skip_units(lowercase_		)
       elif "# Below: " in line and "##" not in line:
        UpperCAmelCase			:      List[str]			=			line.split("""\""""		)[1]
        UpperCAmelCase			:      Union[str, Any]			=			skip_units(lowercase_		)
       elif "# End." in line and "##" not in line:
        if not skip_file and not skip_snippet:
         replace(lowercase_   ,  lowercase_   ,  lowercase_		)

        UpperCAmelCase			:      int			=			[]
       elif "# Replace with" in line and "##" not in line:
        UpperCAmelCase			:      Optional[int]			=			[]
       elif "##" not in line:
        lines_to_copy.append(lowercase_		)

     remove(lowercase_		)

    replace_in_files(F"{directory}/to_replace_{lowercase_model_name}.py"		)
    os.rmdir(lowercase_		)





"""simple docstring"""
import requests
from bsa import BeautifulSoup

def    _snake_case		(		UpperCamelCase		:	str = "AAPL"		):
 UpperCAmelCase			:      Any			=			F"https://in.finance.yahoo.com/quote/{symbol}?s={symbol}"
 UpperCAmelCase			:      Optional[int]			=			BeautifulSoup(requests.get(UpperCamelCase		).text    ,	"""html.parser"""		)
 UpperCAmelCase			:      int			=			"""My(6px) Pos(r) smartphone_Mt(6px)"""
 return soup.find("""div"""    ,	class_=class_		).find("""span"""		).text


if __name__ == "__main__":
      for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
            print(f"""Current {symbol:<4} stock price is {stock_price(symbol):>8}""")
