




"""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


lowerCAmelCase							:    Any  							=							"""<<<<<<< This should probably be modified because it mentions: """

lowerCAmelCase							:    Any  							=							"""=======
>>>>>>>
"""

lowerCAmelCase							:    Optional[Any]  							=							[
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

lowerCAmelCase							:    str  							=							[
    # (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 					a__				(       snake_case__       )		->      Tuple:
			return ConvertCommand(args.tfds_path ,				args.datasets_directory       )






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''





				@staticmethod
				def      _lowerCAmelCase       ( _a				):





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





				def __init__( self	,				_a	,				_a	,				*_a				):





							"""simple docstring"""
							lowerCamelCase       =      get_logger("""datasets-cli/converting"""				)

							lowerCamelCase       =      tfds_path
							lowerCamelCase       =      datasets_directory





				def      _lowerCAmelCase       ( self				):





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

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

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

							lowerCamelCase       =      []
							lowerCamelCase       =      []
							lowerCamelCase       =      {}

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

							for f_name in file_names:
										self._logger.info(f'Looking at file {f_name}'				)
										lowerCamelCase       =      os.path.join(_a	,				_a				)
										lowerCamelCase       =      os.path.join(_a	,				_a				)

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

										with open(_a	,				encoding="""utf-8"""				) as f:
													lowerCamelCase       =      f.readlines()

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

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

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

										if needs_manual_update:
													with_manual_update.append(_a				)

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

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









"""simple docstring"""




from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap



def 					a__				(       snake_case__       )		->      List[str]:
			return getitem, k



def 					a__				(       snake_case__ ,				snake_case__       )		->      Optional[Any]:
			return setitem, k, v



def 					a__				(       snake_case__       )		->      str:
			return delitem, k



def 					a__				(       snake_case__ ,				snake_case__ ,				*snake_case__       )		->      Union[str, Any]:
			try:
						return fun(snake_case__ ,				*snake_case__       ), None
			except Exception as e:
						return None, e


lowerCAmelCase							:    Optional[int]  							=							(
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
)

lowerCAmelCase							:    List[Any]  							=							[
    _set("""key_a""", """val_a"""),
    _set("""key_a""", """val_b"""),
]

lowerCAmelCase							:    List[Any]  							=							[
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
    _del("""key_a"""),
    _del("""key_b"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
]

lowerCAmelCase							:    List[Any]  							=							[
    _get("""key_a"""),
    _del("""key_a"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
    _del("""key_a"""),
    _get("""key_a"""),
]

lowerCAmelCase							:    Tuple  							=							[
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

lowerCAmelCase							:    Tuple  							=							[
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set("""key_a""", """val_b"""),
]



@pytest.mark.parametrize(
    """operations""" ,				(
        pytest.param(_add_items ,				id="""add items"""       ),
        pytest.param(_overwrite_items ,				id="""overwrite items"""       ),
        pytest.param(_delete_items ,				id="""delete items"""       ),
        pytest.param(_access_absent_items ,				id="""access absent items"""       ),
        pytest.param(_add_with_resize_up ,				id="""add with resize up"""       ),
        pytest.param(_add_with_resize_down ,				id="""add with resize down"""       ),
    ) ,				)
def 					a__				(       snake_case__       )		->      Any:
			lowerCamelCase       =      HashMap(initial_block_size=4       )
			lowerCamelCase       =      {}
			for _, (fun, *args) in enumerate(snake_case__       ):
						lowerCamelCase   ,     lowerCamelCase       =      _run_operation(snake_case__ ,				snake_case__ ,				*snake_case__       )
						lowerCamelCase   ,     lowerCamelCase       =      _run_operation(snake_case__ ,				snake_case__ ,				*snake_case__       )
						assert my_res == py_res
						assert str(snake_case__       ) == str(snake_case__       )
						assert set(snake_case__       ) == set(snake_case__       )
						assert len(snake_case__       ) == len(snake_case__       )
						assert set(my.items()       ) == set(py.items()       )



def 					a__				(       )		->      int:
			def is_public(snake_case__       ) -> bool:
						return not name.startswith("""_"""       )

			lowerCamelCase       =      {name for name in dir({}       ) if is_public(snake_case__       )}
			lowerCamelCase       =      {name for name in dir(HashMap()       ) if is_public(snake_case__       )}

			assert dict_public_names > hash_public_names



