





'''simple docstring'''



from typing import Any




def    _lowerCAmelCase						(				lowerCamelCase_			:  list		,       lowerCamelCase_			:  list		,       lowerCamelCase_			:  dict		,       lowerCamelCase_			:  dict		,       lowerCamelCase_			:  dict		,       ):
			_validation(
			    lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       )
			# Creates data structures and fill initial step
			__lowercase										=							{}
			__lowercase										=							{}
			for state in states_space:
						__lowercase										=							observations_space[0]
						__lowercase										=							(
						    initial_probabilities[state] * emission_probabilities[state][observation]
						)
						__lowercase										=							None

			# Fills the data structure with the probabilities of
			# different transitions and pointers to previous states
			for o in range(1		,       len(lowerCamelCase_				)				):
						__lowercase										=							observations_space[o]
						__lowercase										=							observations_space[o - 1]
						for state in states_space:
									# Calculates the argmax for probability function
									__lowercase										=							''''''
									__lowercase										=							-1
									for k_state in states_space:
												__lowercase										=							(
												    probabilities[(k_state, prior_observation)]
												    * transition_probabilities[k_state][state]
												    * emission_probabilities[state][observation]
												)
												if probability > max_probability:
															__lowercase										=							probability
															__lowercase										=							k_state

            # Update probabilities and pointers dicts
									__lowercase										=							(
									    probabilities[(arg_max, prior_observation)]
									    * transition_probabilities[arg_max][state]
									    * emission_probabilities[state][observation]
									)

									__lowercase										=							arg_max

    # The final observation
			__lowercase										=							observations_space[len(lowerCamelCase_				) - 1]

			# argmax for given final observation
			__lowercase										=							''''''
			__lowercase										=							-1
			for k_state in states_space:
						__lowercase										=							probabilities[(k_state, final_observation)]
						if probability > max_probability:
									__lowercase										=							probability
									__lowercase										=							k_state
			__lowercase										=							arg_max

			# Process pointers backwards
			__lowercase										=							last_state
			__lowercase										=							[]
			for o in range(len(lowerCamelCase_				) - 1		,       -1		,       -1				):
						result.append(lowerCamelCase_				)
						__lowercase										=							pointers[previous, observations_space[o]]
			result.reverse()

			return result




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       ):
			_validate_not_empty(
			    lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       )
			_validate_lists(lowerCamelCase_		,       lowerCamelCase_				)
			_validate_dicts(
			    lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       ):
			if not all(
			    [
			        observations_space,
			        states_space,
			        initial_probabilities,
			        transition_probabilities,
			        emission_probabilities,
			    ]				):
						raise ValueError('''There\'s an empty parameter'''				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any				):
			_validate_list(lowerCamelCase_		,       '''observations_space'''				)
			_validate_list(lowerCamelCase_		,       '''states_space'''				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  str				):
			if not isinstance(_object		,       lowerCamelCase_				):
						__lowercase										=							f"{var_name} must be a list"
						raise ValueError(lowerCamelCase_				)
			else:
						for x in _object:
									if not isinstance(lowerCamelCase_		,       lowerCamelCase_				):
												__lowercase										=							f"{var_name} must be a list of strings"
												raise ValueError(lowerCamelCase_				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Any		,       ):
			_validate_dict(lowerCamelCase_		,       '''initial_probabilities'''		,       lowerCamelCase_				)
			_validate_nested_dict(lowerCamelCase_		,       '''transition_probabilities'''				)
			_validate_nested_dict(lowerCamelCase_		,       '''emission_probabilities'''				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  str				):
			_validate_dict(_object		,       lowerCamelCase_		,       lowerCamelCase_				)
			for x in _object.values():
						_validate_dict(lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  str		,       lowerCamelCase_			:  type		,       lowerCamelCase_			:  bool = False				):
			if not isinstance(_object		,       lowerCamelCase_				):
						__lowercase										=							f"{var_name} must be a dict"
						raise ValueError(lowerCamelCase_				)
			if not all(isinstance(lowerCamelCase_		,       lowerCamelCase_				) for x in _object				):
						__lowercase										=							f"{var_name} all keys must be strings"
						raise ValueError(lowerCamelCase_				)
			if not all(isinstance(lowerCamelCase_		,       lowerCamelCase_				) for x in _object.values()				):
						__lowercase										=							'''nested dictionary ''' if nested else ''''''
						__lowercase										=							f"{var_name} {nested_text}all values must be {value_type.__name__}"
						raise ValueError(lowerCamelCase_				)


if __name__ == "__main__":
	from doctest import testmod

	testmod()












'''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


_SCREAMING_SNAKE_CASE					=    '''<<<<<<< This should probably be modified because it mentions: '''

_SCREAMING_SNAKE_CASE					=    '''=======
>>>>>>>
'''

_SCREAMING_SNAKE_CASE					=    [
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

_SCREAMING_SNAKE_CASE					=    [
    # (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    _lowerCAmelCase						(				lowerCamelCase_			:  Namespace				):
			return ConvertCommand(args.tfds_path		,       args.datasets_directory				)






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	@staticmethod
	def 						_UpperCAmelCase     (_lowerCamelCase )							->							Any:







				'''simple docstring'''





				__lowercase										=							parser.add_parser(
				    '''convert'''     ,help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''     ,)
				train_parser.add_argument(
				    '''--tfds_path'''     ,type=_lowerCamelCase     ,required=_lowerCamelCase     ,help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''     ,)
				train_parser.add_argument(
				    '''--datasets_directory'''     ,type=_lowerCamelCase     ,required=_lowerCamelCase     ,help='''Path to the HuggingFace Datasets folder.''' )
				train_parser.set_defaults(func=_lowerCamelCase )


	def __init__(self     ,_lowerCamelCase     ,_lowerCamelCase     ,*_lowerCamelCase )							->							List[Any]:







				'''simple docstring'''





				__lowercase										=							get_logger('''datasets-cli/converting''' )

				__lowercase										=							tfds_path
				__lowercase										=							datasets_directory


	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				if os.path.isdir(self._tfds_path ):
							__lowercase										=							os.path.abspath(self._tfds_path )
				elif os.path.isfile(self._tfds_path ):
							__lowercase										=							os.path.dirname(self._tfds_path )
				else:
							raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.''' )

				__lowercase										=							os.path.abspath(self._datasets_directory )

				self._logger.info(f"Converting datasets from {abs_tfds_path} to {abs_datasets_path}" )

				__lowercase										=							[]
				__lowercase										=							[]
				__lowercase										=							{}

				if os.path.isdir(self._tfds_path ):
							__lowercase										=							os.listdir(_lowerCamelCase )
				else:
							__lowercase										=							[os.path.basename(self._tfds_path )]

				for f_name in file_names:
							self._logger.info(f"Looking at file {f_name}" )
							__lowercase										=							os.path.join(_lowerCamelCase     ,_lowerCamelCase )
							__lowercase										=							os.path.join(_lowerCamelCase     ,_lowerCamelCase )

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

							with open(_lowerCamelCase     ,encoding='''utf-8''' ) as f:
										__lowercase										=							f.readlines()

							__lowercase										=							[]
							__lowercase										=							False
							__lowercase										=							False
							__lowercase										=							[]
							for line in lines:
										__lowercase										=							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:
													__lowercase										=							'''import datasets\n'''
										elif "import tensorflow" in out_line:
													# order is important here
													__lowercase										=							''''''
													continue
										elif "from absl import logging" in out_line:
													__lowercase										=							'''from datasets import logging\n'''
										elif "getLogger" in out_line:
													__lowercase										=							out_line.replace('''getLogger'''     ,'''get_logger''' )
										elif any(expression in out_line for expression in TO_HIGHLIGHT ):
													__lowercase										=							True
													__lowercase										=							list(filter(lambda _lowerCamelCase : e in out_line     ,_lowerCamelCase ) )
													out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(_lowerCamelCase ) + '''\n''' )
													out_lines.append(_lowerCamelCase )
													out_lines.append(_lowerCamelCase )
													continue
										else:
													for pattern, replacement in TO_CONVERT:
																__lowercase										=							re.sub(_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase )

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

							if is_builder or "wmt" in f_name:
										# We create a new directory for each dataset
										__lowercase										=							f_name.replace('''.py'''     ,'''''' )
										__lowercase										=							os.path.join(_lowerCamelCase     ,_lowerCamelCase )
										__lowercase										=							os.path.join(_lowerCamelCase     ,_lowerCamelCase )
										os.makedirs(_lowerCamelCase     ,exist_ok=_lowerCamelCase )
										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(_lowerCamelCase )

							if needs_manual_update:
										with_manual_update.append(_lowerCamelCase )

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

				for utils_file in utils_files:
							try:
										__lowercase										=							os.path.basename(_lowerCamelCase )
										__lowercase										=							imports_to_builder_map[f_name.replace('''.py'''     ,'''''' )]
										self._logger.info(f"Moving {dest_folder} to {utils_file}" )
										shutil.copy(_lowerCamelCase     ,_lowerCamelCase )
							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'." )





