


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

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


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

a : Any		=				'''=======
>>>>>>>
'''

a : Optional[int]		=				[
    '''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 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			return ConvertCommand(args.tfds_path       ,			args.datasets_directory  )





class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					@staticmethod
					def A      (				snake_case_						)   ->			int:







								'''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=snake_case_ ,       required=snake_case_ ,       help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.''' ,       )
								train_parser.add_argument(
								    '''--datasets_directory''' ,       type=snake_case_ ,       required=snake_case_ ,       help='''Path to the HuggingFace Datasets folder.'''						)
								train_parser.set_defaults(func=snake_case_						)






					def __init__(				self ,       snake_case_ ,       snake_case_ ,       *snake_case_						)   ->			str:







								'''simple docstring'''

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

								__lowercase 					=   tfds_path
								__lowercase 					=   datasets_directory






					def A      (				self						)   ->			Any:







								'''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(snake_case_						)
								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(snake_case_ ,       snake_case_						)
											__lowercase 					=   os.path.join(snake_case_ ,       snake_case_						)

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

											with open(snake_case_ ,       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 snake_case_						: e in out_line ,       snake_case_						)						)
																	out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(snake_case_						) + '''\n'''						)
																	out_lines.append(snake_case_						)
																	out_lines.append(snake_case_						)
																	continue
														else:
																	for pattern, replacement in TO_CONVERT:
																				__lowercase 					=   re.sub(snake_case_ ,       snake_case_ ,       snake_case_						)

                # 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]+)''' ,       snake_case_						)
																	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(snake_case_						)

											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(snake_case_ ,       snake_case_						)
														__lowercase 					=   os.path.join(snake_case_ ,       snake_case_						)
														os.makedirs(snake_case_ ,       exist_ok=snake_case_						)
														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(snake_case_						)

											if needs_manual_update:
														with_manual_update.append(snake_case_						)

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

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






import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
	import jax
@require_flax
class 	lowerCamelCase_       (				lowerCAmelCase__     ,     unittest.TestCase				):



					'''simple docstring'''







					__UpperCAmelCase            =				FlaxAutoencoderKL






					@property
					def A      (				self						)   ->			Optional[int]:







								'''simple docstring'''

								__lowercase 					=   4
								__lowercase 					=   3
								__lowercase 					=   (3_2, 3_2)

								__lowercase 					=   jax.random.PRNGKey(0						)
								__lowercase 					=   jax.random.uniform(snake_case_ ,       ((batch_size, num_channels) + sizes)						)

								return {"sample": image, "prng_key": prng_key}






					def A      (				self						)   ->			Any:







								'''simple docstring'''

								__lowercase 					=   {
								    '''block_out_channels''': [3_2, 6_4],
								    '''in_channels''': 3,
								    '''out_channels''': 3,
								    '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
								    '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
								    '''latent_channels''': 4,
								}
								__lowercase 					=   self.dummy_input
								return init_dict, inputs_dict


