


'''simple docstring'''

import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

_UpperCAmelCase				: List[Any]							    =				logging.get_logger(__name__)


_UpperCAmelCase				: Tuple							    =				{name: getattr(transformers, name + """Fast""") for name in SLOW_TO_FAST_CONVERTERS}

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase,				lowerCamelCase,				lowerCamelCase):
						if tokenizer_name is not None and tokenizer_name not in TOKENIZER_CLASSES:
												raise ValueError(F"""Unrecognized tokenizer name, should be one of {list(TOKENIZER_CLASSES.keys())}.""")

						if tokenizer_name is None:
												__lowerCAmelCase							       =				TOKENIZER_CLASSES
						else:
												__lowerCAmelCase							       =				{tokenizer_name: getattr(lowerCamelCase,				tokenizer_name + '''Fast''')}

						logger.info(F"""Loading tokenizer classes: {tokenizer_names}""")

						for tokenizer_name in tokenizer_names:
												__lowerCAmelCase							       =				TOKENIZER_CLASSES[tokenizer_name]

												__lowerCAmelCase							       =				True
												if checkpoint_name is None:
																		__lowerCAmelCase							       =				list(tokenizer_class.max_model_input_sizes.keys())
												else:
																		__lowerCAmelCase							       =				[checkpoint_name]

												logger.info(F"""For tokenizer {tokenizer_class.__class__.__name__} loading checkpoints: {checkpoint_names}""")

												for checkpoint in checkpoint_names:
																		logger.info(F"""Loading {tokenizer_class.__class__.__name__} {checkpoint}""")

																		# Load tokenizer
																		__lowerCAmelCase							       =				tokenizer_class.from_pretrained(lowerCamelCase,				force_download=lowerCamelCase)

																		# Save fast tokenizer
																		logger.info(F"""Save fast tokenizer to {dump_path} with prefix {checkpoint} add_prefix {add_prefix}""")

																		# For organization names we create sub-directories
																		if "/" in checkpoint:
																								__lowerCAmelCase       ,					__lowerCAmelCase							       =				checkpoint.split('''/''')
																								__lowerCAmelCase							       =				os.path.join(lowerCamelCase,				lowerCamelCase)
																		elif add_prefix:
																								__lowerCAmelCase							       =				checkpoint
																								__lowerCAmelCase							       =				dump_path
																		else:
																								__lowerCAmelCase							       =				None
																								__lowerCAmelCase							       =				dump_path

																		logger.info(F"""=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}""")

																		if checkpoint in list(tokenizer.pretrained_vocab_files_map.values())[0]:
																								__lowerCAmelCase							       =				list(tokenizer.pretrained_vocab_files_map.values())[0][checkpoint]
																								__lowerCAmelCase							       =				file_path.split(lowerCamelCase)[-1][0]
																								if next_char == "/":
																														__lowerCAmelCase							       =				os.path.join(lowerCamelCase,				lowerCamelCase)
																														__lowerCAmelCase							       =				None

																								logger.info(F"""=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}""")

																		__lowerCAmelCase							       =				tokenizer.save_pretrained(
																		    lowerCamelCase,				legacy_format=lowerCamelCase,				filename_prefix=lowerCamelCase)
																		logger.info(F"""=> File names {file_names}""")

																		for file_name in file_names:
																								if not file_name.endswith('''tokenizer.json'''):
																														os.remove(lowerCamelCase)
																														logger.info(F"""=> removing {file_name}""")


if __name__ == "__main__":
	_UpperCAmelCase				: Union[str, Any]							    =				argparse.ArgumentParser()
	# Required parameters
	parser.add_argument(
	    """--dump_path""", default=None, type=str, required=True, help="""Path to output generated fast tokenizer files."""
	)
	parser.add_argument(
	    """--tokenizer_name""",
	    default=None,
	    type=str,
	    help=(
	        f"""Optional tokenizer type selected in the list of {list(TOKENIZER_CLASSES.keys())}. If not given, will """
	        """download and convert all the checkpoints from AWS."""
	    ),
	)
	parser.add_argument(
	    """--checkpoint_name""",
	    default=None,
	    type=str,
	    help="""Optional checkpoint name. If not given, will download and convert the canonical checkpoints from AWS.""",
	)
	parser.add_argument(
	    """--force_download""",
	    action="""store_true""",
	    help="""Re-download checkpoints.""",
	)
	_UpperCAmelCase				: List[str]							    =				parser.parse_args()

	convert_slow_checkpoint_to_fast(args.tokenizer_name, args.checkpoint_name, args.dump_path, args.force_download)





'''simple docstring'''

import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class       a__				( __A							,						unittest.TestCase      ):







				"""simple docstring"""



				__UpperCamelCase    :		int	=	MgpstrTokenizer
				__UpperCamelCase    :		Optional[Any]	=	False
				__UpperCamelCase    :		Optional[int]	=	{}
				__UpperCamelCase    :		List[Any]	=	False




				def 					_snake_case  (self		):
										super().setUp()

										# fmt: off
										__lowerCAmelCase							       =				['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
										# fmt: on
										__lowerCAmelCase							       =				dict(zip(__lowercase       ,			range(len(__lowercase		)		)		)		)

										__lowerCAmelCase							       =				os.path.join(self.tmpdirname       ,			VOCAB_FILES_NAMES['''vocab_file''']		)
										with open(self.vocab_file       ,			'''w'''       ,			encoding='''utf-8'''		) as fp:
																fp.write(json.dumps(__lowercase		) + '''\n'''		)




				def 					_snake_case  (self       ,			**__lowercase		):
										return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,			**__lowercase		)




				def 					_snake_case  (self       ,			__lowercase		):
										__lowerCAmelCase							       =				'''tester'''
										__lowerCAmelCase							       =				'''tester'''
										return input_text, output_text




				@unittest.skip('''MGP-STR always lower cases letters.'''		)
				def 					_snake_case  (self		):
										pass




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.get_tokenizers(do_lower_case=__lowercase		)
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						__lowerCAmelCase							       =				'''[SPECIAL_TOKEN]'''

																						tokenizer.add_special_tokens({'''cls_token''': special_token}		)
																						__lowerCAmelCase							       =				tokenizer.encode([special_token]       ,			add_special_tokens=__lowercase		)
																						self.assertEqual(len(__lowercase		)       ,			1		)

																						__lowerCAmelCase							       =				tokenizer.decode(__lowercase       ,			skip_special_tokens=__lowercase		)
																						self.assertTrue(special_token not in decoded		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.get_tokenizers()
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						__lowerCAmelCase       ,					__lowerCAmelCase							       =				self.get_input_output_texts(__lowercase		)

																						__lowerCAmelCase							       =				tokenizer.tokenize(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer.convert_tokens_to_ids(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer.encode(__lowercase       ,			add_special_tokens=__lowercase		)
																						self.assertListEqual(__lowercase       ,			__lowercase		)

																						__lowerCAmelCase							       =				tokenizer.convert_ids_to_tokens(__lowercase		)
																						self.assertNotEqual(len(__lowercase		)       ,			0		)
																						__lowerCAmelCase							       =				tokenizer.decode(__lowercase		)
																						self.assertIsInstance(__lowercase       ,			__lowercase		)

																						self.assertEqual(text_a.replace(''' '''       ,			''''''		)       ,			__lowercase		)




				@unittest.skip('''MGP-STR tokenizer only handles one sequence.'''		)
				def 					_snake_case  (self		):
										pass




				@unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''		)
				def 					_snake_case  (self		):
										pass

