




'''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_ :						Union[str, Any]				 =			"""<<<<<<< This should probably be modified because it mentions: """

a_ :						List[Any]				 =			"""=======
>>>>>>>
"""

a_ :						List[Any]				 =			[
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

a_ :						Dict				 =			[
    # (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				:     Namespace  )				->		int:



       """simple docstring"""
       return ConvertCommand(args.tfds_path  ,			args.datasets_directory  )


class     __UpperCamelCase			(					_UpperCamelCase							):






       @staticmethod
       def 	lowercase__	(				lowerCAmelCase    ):



              """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,						lowerCAmelCase,						lowerCAmelCase,						*lowerCAmelCase    ):



              """simple docstring"""







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

              lowerCamelCase_				=tfds_path
              lowerCamelCase_				=datasets_directory






       def 	lowercase__	(				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 lowerCAmelCase    : 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"""






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin



class 					__UpperCAmelCase							(						unittest.TestCase						,  _UpperCamelCase  ):
				def       UpperCAmelCase      (		self    :			Dict    )	->	List[Any]:



							'''simple docstring'''



							a__  :	Any		 =			load_tool("text-classification"    )
							self.tool.setup()
							a__  :	List[Any]		 =			load_tool("text-classification"	, remote=a_    )
				def       UpperCAmelCase      (		self    :			Optional[int]    )	->	Optional[Any]:



							'''simple docstring'''



							a__  :	str		 =			self.tool("That's quite cool"	, ["positive", "negative"]    )
							self.assertEqual(a_	, "positive"    )
				def       UpperCAmelCase      (		self    :			Union[str, Any]    )	->	Optional[int]:



							'''simple docstring'''



							a__  :	List[str]		 =			self.remote_tool("That's quite cool"	, ["positive", "negative"]    )
							self.assertEqual(a_	, "positive"    )
				def       UpperCAmelCase      (		self    :			Dict    )	->	Any:



							'''simple docstring'''



							a__  :	List[str]		 =			self.tool(text="That's quite cool"	, labels=["positive", "negative"]    )
							self.assertEqual(a_	, "positive"    )






				def       UpperCAmelCase      (		self    :			List[Any]    )	->	List[Any]:



							'''simple docstring'''



							a__  :	Tuple		 =			self.remote_tool(text="That's quite cool"	, labels=["positive", "negative"]    )
							self.assertEqual(a_	, "positive"    )