






'''simple docstring'''







import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


_A	:			Optional[int]         ='''<<<<<<< This should probably be modified because it mentions: '''

_A	:			List[str]         ='''=======
>>>>>>>
'''

_A	:			Optional[Any]         =[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

_A	:			List[Any]         =[
    # (pattern, replacement)
    # Order is important here for some replacements
    (r'''tfds\.core''', r'''datasets'''),
    (r'''tf\.io\.gfile\.GFile''', r'''open'''),
    (r'''tf\.([\w\d]+)''', r'''datasets.Value(\'\1\')'''),
    (r'''tfds\.features\.Text\(\)''', r'''datasets.Value(\'string\')'''),
    (r'''tfds\.features\.Text\(''', r'''datasets.Value(\'string\'),'''),
    (r'''features\s*=\s*tfds.features.FeaturesDict\(''', r'''features=datasets.Features('''),
    (r'''tfds\.features\.FeaturesDict\(''', r'''dict('''),
    (r'''The TensorFlow Datasets Authors''', r'''The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'''),
    (r'''tfds\.''', r'''datasets.'''),
    (r'''dl_manager\.manual_dir''', r'''self.config.data_dir'''),
    (r'''self\.builder_config''', r'''self.config'''),
]





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase      )      ->       Any:
							return ConvertCommand(args.tfds_path				,			args.datasets_directory      )



class _lowercase	(				_lowercase		):




							@staticmethod
							def 		lowerCamelCase_				(							UpperCamelCase__:				ArgumentParser     ):
														lowerCamelCase__					:	Any         =       parser.add_parser(
														    """convert"""			,							help="""Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."""			,							)
														train_parser.add_argument(
														    """--tfds_path"""			,							type=UpperCamelCase__			,							required=UpperCamelCase__			,							help="""Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."""			,							)
														train_parser.add_argument(
														    """--datasets_directory"""			,							type=UpperCamelCase__			,							required=UpperCamelCase__			,							help="""Path to the HuggingFace Datasets folder."""     )
														train_parser.set_defaults(func=UpperCamelCase__     )




							def __init__(							self:				Any			,							UpperCamelCase__:				str			,							UpperCamelCase__:				str			,							*UpperCamelCase__:				Any     ):
														lowerCamelCase__					:	List[str]         =       get_logger("""datasets-cli/converting"""     )

														lowerCamelCase__					:	Union[str, Any]         =       tfds_path
														lowerCamelCase__					:	Union[str, Any]         =       datasets_directory




							def 		lowerCamelCase_				(							self:				Optional[int]     ):
														if os.path.isdir(self._tfds_path     ):
																					lowerCamelCase__					:	int         =       os.path.abspath(self._tfds_path     )
														elif os.path.isfile(self._tfds_path     ):
																					lowerCamelCase__					:	Tuple         =       os.path.dirname(self._tfds_path     )
														else:
																					raise ValueError("""--tfds_path is neither a directory nor a file. Please check path."""     )

														lowerCamelCase__					:	Optional[Any]         =       os.path.abspath(self._datasets_directory     )

														self._logger.info(F'''Converting datasets from {abs_tfds_path} to {abs_datasets_path}'''     )

														lowerCamelCase__					:	Optional[Any]         =       []
														lowerCamelCase__					:	str         =       []
														lowerCamelCase__					:	str         =       {}

														if os.path.isdir(self._tfds_path     ):
																					lowerCamelCase__					:	int         =       os.listdir(UpperCamelCase__     )
														else:
																					lowerCamelCase__					:	Dict         =       [os.path.basename(self._tfds_path     )]

														for f_name in file_names:
																					self._logger.info(F'''Looking at file {f_name}'''     )
																					lowerCamelCase__					:	Union[str, Any]         =       os.path.join(UpperCamelCase__			,							UpperCamelCase__     )
																					lowerCamelCase__					:	Tuple         =       os.path.join(UpperCamelCase__			,							UpperCamelCase__     )

																					if not os.path.isfile(UpperCamelCase__     ) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
																												self._logger.info("""Skipping file"""     )
																												continue

																					with open(UpperCamelCase__			,							encoding="""utf-8"""     ) as f:
																												lowerCamelCase__					:	Dict         =       f.readlines()

																					lowerCamelCase__					:	Union[str, Any]         =       []
																					lowerCamelCase__					:	List[str]         =       False
																					lowerCamelCase__					:	List[Any]         =       False
																					lowerCamelCase__					:	Optional[Any]         =       []
																					for line in lines:
																												lowerCamelCase__					:	Union[str, Any]         =       line

																												# Convert imports
																												if "import tensorflow.compat.v2 as tf" in out_line:
																																			continue
																												elif "@tfds.core" in out_line:
																																			continue
																												elif "builder=self" in out_line:
																																			continue
																												elif "import tensorflow_datasets.public_api as tfds" in out_line:
																																			lowerCamelCase__					:	str         =       """import datasets\n"""
																												elif "import tensorflow" in out_line:
																																			# order is important here
																																			lowerCamelCase__					:	Optional[int]         =       """"""
																																			continue
																												elif "from absl import logging" in out_line:
																																			lowerCamelCase__					:	Union[str, Any]         =       """from datasets import logging\n"""
																												elif "getLogger" in out_line:
																																			lowerCamelCase__					:	List[Any]         =       out_line.replace("""getLogger"""			,							"""get_logger"""     )
																												elif any(expression in out_line for expression in TO_HIGHLIGHT     ):
																																			lowerCamelCase__					:	str         =       True
																																			lowerCamelCase__					:	Optional[int]         =       list(filter(lambda UpperCamelCase__     : e in out_line			,							UpperCamelCase__     )     )
																																			out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(UpperCamelCase__     ) + """\n"""     )
																																			out_lines.append(UpperCamelCase__     )
																																			out_lines.append(UpperCamelCase__     )
																																			continue
																												else:
																																			for pattern, replacement in TO_CONVERT:
																																										lowerCamelCase__					:	Dict         =       re.sub(UpperCamelCase__			,							UpperCamelCase__			,							UpperCamelCase__     )

                # Take care of saving utilities (to later move them together with main script)
																												if "tensorflow_datasets" in out_line:
																																			lowerCamelCase__					:	str         =       re.match(R"""from\stensorflow_datasets.*import\s([^\.\r\n]+)"""			,							UpperCamelCase__     )
																																			tfds_imports.extend(imp.strip() for imp in match.group(1     ).split(""","""     )     )
																																			lowerCamelCase__					:	Tuple         =       """from . import """ + match.group(1     )

																												# Check we have not forget anything
																												if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
																																			raise ValueError(F'''Error converting {out_line.strip()}'''     )

																												if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
																																			lowerCamelCase__					:	List[Any]         =       True
																												out_lines.append(UpperCamelCase__     )

																					if is_builder or "wmt" in f_name:
																												# We create a new directory for each dataset
																												lowerCamelCase__					:	Any         =       f_name.replace(""".py"""			,							""""""     )
																												lowerCamelCase__					:	Optional[Any]         =       os.path.join(UpperCamelCase__			,							UpperCamelCase__     )
																												lowerCamelCase__					:	Union[str, Any]         =       os.path.join(UpperCamelCase__			,							UpperCamelCase__     )
																												os.makedirs(UpperCamelCase__			,							exist_ok=UpperCamelCase__     )
																												self._logger.info(F'''Adding directory {output_dir}'''     )
																												imports_to_builder_map.update({imp: output_dir for imp in tfds_imports}     )
																					else:
																												# Utilities will be moved at the end
																												utils_files.append(UpperCamelCase__     )

																					if needs_manual_update:
																												with_manual_update.append(UpperCamelCase__     )

																					with open(UpperCamelCase__			,							"""w"""			,							encoding="""utf-8"""     ) as f:
																												f.writelines(UpperCamelCase__     )
																					self._logger.info(F'''Converted in {output_file}'''     )

														for utils_file in utils_files:
																					try:
																												lowerCamelCase__					:	int         =       os.path.basename(UpperCamelCase__     )
																												lowerCamelCase__					:	Optional[int]         =       imports_to_builder_map[f_name.replace(""".py"""			,							""""""     )]
																												self._logger.info(F'''Moving {dest_folder} to {utils_file}'''     )
																												shutil.copy(UpperCamelCase__			,							UpperCamelCase__     )
																					except KeyError:
																												self._logger.error(F'''Cannot find destination folder for {utils_file}. Please copy manually.'''     )

														if with_manual_update:
																					for file_path in with_manual_update:
																												self._logger.warning(
																												    F'''You need to manually update file {file_path} to remove configurations using \'TextEncoderConfig\'.'''     )








from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str		,   __UpperCAmelCase:			complex		,   __UpperCAmelCase:			str = "x"		,   __UpperCAmelCase:			float = 10**-10		,   __UpperCAmelCase:			int = 1		,   )      ->	complex:
    UpperCamelCase__							:				Optional[int]          =      symbols(__UpperCAmelCase      )
    UpperCamelCase__							:				Dict          =      lambdify(__UpperCAmelCase		,   __UpperCAmelCase      )
    UpperCamelCase__							:				List[str]          =      lambdify(__UpperCAmelCase		,   diff(__UpperCAmelCase		,   __UpperCAmelCase      )      )

    UpperCamelCase__							:				int          =      starting_point

    while True:
        if diff_function(__UpperCAmelCase      ) != 0:
            UpperCamelCase__							:				Optional[int]          =      prev_guess - multiplicity * func(__UpperCAmelCase      ) / diff_function(
                __UpperCAmelCase      )
        else:
            raise ZeroDivisionError('''Could not find root'''      ) from None

        # Precision is checked by comparing the difference of consecutive guesses
        if abs(next_guess - prev_guess      ) < precision:
            return next_guess

        UpperCamelCase__							:				Tuple          =      next_guess


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(F'''The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}''')

  # Find root of polynomial
  # Find fourth Root of 5
  print(F'''The root of x**4 - 5 = 0 is {newton_raphson("x**4 -5", 0.4 +5J)}''')

  # Find value of e
  print(
      'The root of log(y) - 1 = 0 is ',
      F'''{newton_raphson("log(y) - 1", 2, variable="y")}''',
  )

  # Exponential Roots
  print(
      'The root of exp(x) - 1 = 0 is',
      F'''{newton_raphson("exp(x) - 1", 10, precision=0.005)}''',
  )

  # Find root of cos(x)
  print(F'''The root of cos(x) = 0 is {newton_raphson("cos(x)", 0)}''')

