






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

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


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

lowerCamelCase      :       Any    =						'''=======
>>>>>>>
'''

lowerCamelCase      :       Dict    =						[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

lowerCamelCase      :       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    __lowerCAmelCase   (    __snake_case							):
     return ConvertCommand(args.tfds_path       ,			args.datasets_directory							)



class 				_UpperCamelCase      (a_      ):


      @staticmethod
      def 			__UpperCAmelCase		(						__UpperCamelCase						)->						Optional[int]:
           __lowerCAmelCase             =       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       ,    __UpperCamelCase       ,    __UpperCamelCase       ,    *__UpperCamelCase						)->						int:
           __lowerCAmelCase             =       get_logger("datasets-cli/converting"						)

           __lowerCAmelCase             =       tfds_path
           __lowerCAmelCase             =       datasets_directory


      def 			__UpperCAmelCase		(						self						)->						List[Any]:
           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(__UpperCamelCase						)
           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(__UpperCamelCase       ,    __UpperCamelCase						)
                __lowerCAmelCase             =       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             =       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 __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             =       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             =       re.match(R"from\stensorflow_datasets.*import\s([^\.\r\n]+)"       ,    __UpperCamelCase						)
                          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(__UpperCamelCase						)

                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(__UpperCamelCase       ,    __UpperCamelCase						)
                     __lowerCAmelCase             =       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             =       os.path.basename(__UpperCamelCase						)
                     __lowerCAmelCase             =       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'."""						)














# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase      :       Dict    =						abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)





def    __lowerCAmelCase   (    __snake_case							):
     from diffusers.utils.testing_utils import pytest_addoption_shared

     pytest_addoption_shared(__snake_case							)





def    __lowerCAmelCase   (    __snake_case							):
     from diffusers.utils.testing_utils import pytest_terminal_summary_main

     __lowerCAmelCase             =       terminalreporter.config.getoption("--make-reports"							)
     if make_reports:
          pytest_terminal_summary_main(__snake_case       ,			id=__snake_case							)






