


# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


lowerCAmelCase	=							get_logger(__name__)


class 	_a							:
							_lowercase     :      Tuple  				=			'''dummy_data'''
							_lowercase     :      List[str]  				=			'''datasets'''
							_lowercase     :      Dict  				=			False

							def __init__(							self:     str   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Union[Version, str]   ,						UpperCamelCase_:     Optional[str] = None   ,						UpperCamelCase_:     bool = False   ,						UpperCamelCase_:     bool = True   ,						UpperCamelCase_:     Optional[List[Callable]] = None   ,						)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				0
									lowercase__						=				dataset_name
									lowercase__						=				cache_dir
									lowercase__						=				use_local_dummy_data
									lowercase__						=				config
									# download_callbacks take a single url as input
									lowercase__						=				download_callbacks or []
									# if False, it doesn't load existing files and it returns the paths of the dummy files relative
									# to the dummy_data zip file root
									lowercase__						=				load_existing_dummy_data

									# TODO(PVP, QL) might need to make this more general
									lowercase__						=				str(UpperCamelCase_							)
									# to be downloaded
									lowercase__						=				None
									lowercase__						=				None

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





									"""simple docstring"""







									if self._dummy_file is None:
											lowercase__						=				self.download_dummy_data()
									return self._dummy_file

							@property
							def 				lowerCamelCase_			(							self:     List[Any]							)      ->       Dict:





									"""simple docstring"""







									if self.config is not None:
											# structure is dummy / config_name / version_name
											return os.path.join('''dummy'''   ,						self.config.name   ,						self.version_name							)
									# structure is dummy / version_name
									return os.path.join('''dummy'''   ,						self.version_name							)

							@property
							def 				lowerCamelCase_			(							self:     int							)      ->       List[Any]:





									"""simple docstring"""







									return os.path.join(self.dummy_data_folder   ,						'''dummy_data.zip'''							)

							def 				lowerCamelCase_			(							self:     Optional[Any]							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				(
									    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
									)

									lowercase__						=				cached_path(
									    UpperCamelCase_   ,						cache_dir=self.cache_dir   ,						extract_compressed_file=UpperCamelCase_   ,						force_extract=UpperCamelCase_							)

									return os.path.join(UpperCamelCase_   ,						self.dummy_file_name							)

							@property
							def 				lowerCamelCase_			(							self:     int							)      ->       str:





									"""simple docstring"""







									return os.path.join(self.datasets_scripts_dir   ,						self.dataset_name   ,						self.dummy_zip_file							)

							@property
							def 				lowerCamelCase_			(							self:     Dict							)      ->       List[Any]:





									"""simple docstring"""







									if self._bucket_url is None:
											lowercase__						=				hf_github_url(self.dataset_name   ,						self.dummy_zip_file.replace(os.sep   ,						'''/'''							)							)
									return self._bucket_url

							@property
							def 				lowerCamelCase_			(							self:     Optional[int]							)      ->       List[str]:





									"""simple docstring"""







									if os.path.isdir(self.dummy_file							):
											return self.dummy_file
									# else cut off path to file -> example `xsum`.
									return "/".join(self.dummy_file.replace(os.sep   ,						'''/'''							).split('''/'''							)[:-1]							)

							def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     Optional[Any]   ,						*UpperCamelCase_:     Any							)      ->       Tuple:





									"""simple docstring"""







									if self.load_existing_dummy_data:
											# dummy data is downloaded and tested
											lowercase__						=				self.dummy_file
									else:
											# dummy data cannot be downloaded and only the path to dummy file is returned
											lowercase__						=				self.dummy_file_name

									# special case when data_url is a dict
									if isinstance(UpperCamelCase_   ,						UpperCamelCase_							):
											return self.create_dummy_data_dict(UpperCamelCase_   ,						UpperCamelCase_							)
									elif isinstance(UpperCamelCase_   ,						(list, tuple)							):
											return self.create_dummy_data_list(UpperCamelCase_   ,						UpperCamelCase_							)
									else:
											return self.create_dummy_data_single(UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     List[str]   ,						*UpperCamelCase_:     Optional[int]							)      ->       List[Any]:





									"""simple docstring"""







									return self.download_and_extract(UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     Optional[int]   ,						UpperCamelCase_:     Optional[Any]   ,						UpperCamelCase_:     str							)      ->       List[Any]:





									"""simple docstring"""







									return self.download_and_extract(UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     Union[str, Any]   ,						*UpperCamelCase_:     List[Any]   ,						**UpperCamelCase_:     List[Any]							)      ->       Tuple:





									"""simple docstring"""







									return path

							def 				lowerCamelCase_			(							self:     Optional[Any]							)      ->       Tuple:





									"""simple docstring"""







									return {}

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Union[str, Any]							)      ->       List[str]:





									"""simple docstring"""







									lowercase__						=				{}
									for key, single_urls in data_url.items():
											for download_callback in self.download_callbacks:
													if isinstance(UpperCamelCase_   ,						UpperCamelCase_							):
															for single_url in single_urls:
																	download_callback(UpperCamelCase_							)
													else:
															lowercase__						=				single_urls
															download_callback(UpperCamelCase_							)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
											if isinstance(UpperCamelCase_   ,						UpperCamelCase_							):
													lowercase__						=				[os.path.join(UpperCamelCase_   ,						urllib.parse.quote_plus(Path(UpperCamelCase_							).name							)							) for x in single_urls]
											else:
													lowercase__						=				single_urls
													lowercase__						=				os.path.join(UpperCamelCase_   ,						urllib.parse.quote_plus(Path(UpperCamelCase_							).name							)							)
											lowercase__						=				value

									# make sure that values are unique
									if all(isinstance(UpperCamelCase_   ,						UpperCamelCase_							) for i in dummy_data_dict.values()							) and len(set(dummy_data_dict.values()							)							) < len(
									    dummy_data_dict.values()							):
											# append key to value to make its name unique
											lowercase__						=				{key: value + key for key, value in dummy_data_dict.items()}

									return dummy_data_dict

							def 				lowerCamelCase_			(							self:     Dict   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Union[str, Any]							)      ->       Union[str, Any]:





									"""simple docstring"""







									lowercase__						=				[]
									# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
									lowercase__						=				all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''   ,						UpperCamelCase_							)							) for url in data_url							)
									lowercase__						=				all(
									    url.startswith('''https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'''							) for url in data_url							)
									if data_url and (is_tf_records or is_pubmed_records):
											lowercase__						=				[data_url[0]] * len(UpperCamelCase_							)
									for single_url in data_url:
											for download_callback in self.download_callbacks:
													download_callback(UpperCamelCase_							)
											# we force the name of each key to be the last file / folder name of the url path
											# if the url has arguments, we need to encode them with urllib.parse.quote_plus
											lowercase__						=				os.path.join(UpperCamelCase_   ,						urllib.parse.quote_plus(single_url.split('''/'''							)[-1]							)							)
											dummy_data_list.append(UpperCamelCase_							)
									return dummy_data_list

							def 				lowerCamelCase_			(							self:     Tuple   ,						UpperCamelCase_:     Optional[int]   ,						UpperCamelCase_:     List[Any]							)      ->       Optional[int]:





									"""simple docstring"""







									for download_callback in self.download_callbacks:
											download_callback(UpperCamelCase_							)
									# we force the name of each key to be the last file / folder name of the url path
									# if the url has arguments, we need to encode them with urllib.parse.quote_plus
									lowercase__						=				os.path.join(UpperCamelCase_   ,						urllib.parse.quote_plus(data_url.split('''/'''							)[-1]							)							)
									if os.path.exists(UpperCamelCase_							) or not self.load_existing_dummy_data:
											return value
									else:
											# Backward compatibility, maybe deprecate at one point.
											# For many datasets with single url calls to dl_manager.download_and_extract,
											# the dummy_data.zip file is actually the zipped downloaded file
											# while now we expected the dummy_data.zip file to be a directory containing
											# the downloaded file.
											return path_to_dummy_data

							def 				lowerCamelCase_			(							self:     Union[str, Any]							)      ->       Dict:





									"""simple docstring"""







									pass

							def 				lowerCamelCase_			(							self:     Union[str, Any]							)      ->       Optional[Any]:





									"""simple docstring"""







									pass

							def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     Optional[Any]							)      ->       List[str]:





									"""simple docstring"""







									def _iter_archive_members(UpperCamelCase_:     int							):
											# this preserves the order of the members inside the ZIP archive
											lowercase__						=				Path(self.dummy_file							).parent
											lowercase__						=				path.relative_to(UpperCamelCase_							)
											with ZipFile(self.local_path_to_dummy_data							) as zip_file:
													lowercase__						=				zip_file.namelist()
											for member in members:
													if member.startswith(relative_path.as_posix()							):
															yield dummy_parent_path.joinpath(UpperCamelCase_							)

									lowercase__						=				Path(UpperCamelCase_							)
									lowercase__						=				_iter_archive_members(UpperCamelCase_							) if self.use_local_dummy_data else path.rglob('''*'''							)
									for file_path in file_paths:
											if file_path.is_file() and not file_path.name.startswith(('''.''', '''__''')							):
													yield file_path.relative_to(UpperCamelCase_							).as_posix(), file_path.open('''rb'''							)


							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     str							)      ->       Optional[int]:





									"""simple docstring"""







									if not isinstance(UpperCamelCase_   ,						UpperCamelCase_							):
											lowercase__						=				[paths]
									for path in paths:
											if os.path.isfile(UpperCamelCase_							):
													if os.path.basename(UpperCamelCase_							).startswith(('''.''', '''__''')							):
															return
													yield path
											else:
													for dirpath, dirnames, filenames in os.walk(UpperCamelCase_							):
															if os.path.basename(UpperCamelCase_							).startswith(('''.''', '''__''')							):
																	continue
															dirnames.sort()
															for filename in sorted(UpperCamelCase_							):
																	if filename.startswith(('''.''', '''__''')							):
																			continue
																	yield os.path.join(UpperCamelCase_   ,						UpperCamelCase_							)



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

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


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

lowerCAmelCase	=							'=======\n>>>>>>>\n'

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

lowerCAmelCase	=							[
    # (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			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		return ConvertCommand(args.tfds_path						,    args.datasets_directory					)


class 	_a							(      UpperCamelCase__      ):

							@staticmethod
							def 				lowerCamelCase_			(							UpperCamelCase_:     ArgumentParser							)      ->       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=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:     Dict   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     str   ,						*UpperCamelCase_:     Union[str, Any]							)      ->       List[str]:





									"""simple docstring"""







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

									lowercase__						=				tfds_path
									lowercase__						=				datasets_directory


							def 				lowerCamelCase_			(							self:     str							)      ->       Dict:





									"""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(UpperCamelCase_							)
									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(UpperCamelCase_   ,						UpperCamelCase_							)
											lowercase__						=				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:
													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 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:
																	lowercase__						=				re.sub(UpperCamelCase_   ,						UpperCamelCase_   ,						UpperCamelCase_							)

                # 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]+)'''   ,						UpperCamelCase_							)
															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(UpperCamelCase_							)

											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(UpperCamelCase_   ,						UpperCamelCase_							)
													lowercase__						=				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:
													lowercase__						=				os.path.basename(UpperCamelCase_							)
													lowercase__						=				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\'.'							)


