






import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer

def 	__lowerCamelCase      (		snake_case__	,snake_case__	,snake_case__	,snake_case__=10_24		)							->  Optional[Any]:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  [], []

						_SCREAMING_SNAKE_CASE     				=  list(zip(snake_case__	,snake_case__		)		)
						_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  sorted_examples[0]

						def is_too_big(snake_case__		):
												return tok(snake_case__	,return_tensors="""pt"""		).input_ids.shape[1] > max_tokens

						for src, tgt in tqdm(sorted_examples[1:]		):
												_SCREAMING_SNAKE_CASE     				=  new_src + """ """ + src
												_SCREAMING_SNAKE_CASE     				=  new_tgt + """ """ + tgt
												if is_too_big(snake_case__		) or is_too_big(snake_case__		):  # cant fit, finalize example
																		finished_src.append(snake_case__		)
																		finished_tgt.append(snake_case__		)
																		_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  src, tgt
												else:  # can fit, keep adding
																		_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  cand_src, cand_tgt

    # cleanup
						if new_src:
												assert new_tgt
												finished_src.append(snake_case__		)
												finished_tgt.append(snake_case__		)
						return finished_src, finished_tgt

def 	__lowerCamelCase      (		snake_case__	,snake_case__	,snake_case__	,snake_case__		)							->  List[Any]:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE     				=  Path(snake_case__		)
						save_path.mkdir(exist_ok=snake_case__		)
						for split in ["train"]:
												_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  data_dir / F'{split}.source', data_dir / F'{split}.target'
												_SCREAMING_SNAKE_CASE     				=  [x.rstrip() for x in Path(snake_case__		).open().readlines()]
												_SCREAMING_SNAKE_CASE     				=  [x.rstrip() for x in Path(snake_case__		).open().readlines()]
												_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  pack_examples(snake_case__	,snake_case__	,snake_case__	,snake_case__		)
												print(F'packed {split} split from {len(snake_case__		)} examples -> {len(snake_case__		)}.'		)
												Path(save_path / F'{split}.source'		).open("""w"""		).write("""\n""".join(snake_case__		)		)
												Path(save_path / F'{split}.target'		).open("""w"""		).write("""\n""".join(snake_case__		)		)
						for split in ["val", "test"]:
												_SCREAMING_SNAKE_CASE				,					_SCREAMING_SNAKE_CASE     				=  data_dir / F'{split}.source', data_dir / F'{split}.target'
												shutil.copyfile(snake_case__	,save_path / F'{split}.source'		)
												shutil.copyfile(snake_case__	,save_path / F'{split}.target'		)

def 	__lowerCamelCase      (		)							->  Any:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE     				=  argparse.ArgumentParser()
						parser.add_argument("""--tok_name"""	,type=snake_case__	,help="""like facebook/bart-large-cnn,t5-base, etc."""		)
						parser.add_argument("""--max_seq_len"""	,type=snake_case__	,default=1_28		)
						parser.add_argument("""--data_dir"""	,type=snake_case__		)
						parser.add_argument("""--save_path"""	,type=snake_case__		)
						_SCREAMING_SNAKE_CASE     				=  parser.parse_args()
						_SCREAMING_SNAKE_CASE     				=  AutoTokenizer.from_pretrained(args.tok_name		)
						return pack_data_dir(snake_case__	,Path(args.data_dir		)	,args.max_seq_len	,args.save_path		)


if __name__ == "__main__":
		packer_cli()









import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 				__UpperCAmelCase		(_UpperCAmelCase	,unittest.TestCase   ):
			__snake_case    :				Optional[Any]									=							OpenAIGPTTokenizer
			__snake_case    :				Dict									=							OpenAIGPTTokenizerFast
			__snake_case    :				Optional[Any]									=							True
			__snake_case    :				Dict									=							False







			def 							UpperCamelCase				(     self:  Union[str, Any]					):







									'''simple docstring'''




									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									_SCREAMING_SNAKE_CASE     				=  [
									    """l""",
									    """o""",
									    """w""",
									    """e""",
									    """r""",
									    """s""",
									    """t""",
									    """i""",
									    """d""",
									    """n""",
									    """w</w>""",
									    """r</w>""",
									    """t</w>""",
									    """lo""",
									    """low""",
									    """er</w>""",
									    """low</w>""",
									    """lowest</w>""",
									    """newer</w>""",
									    """wider</w>""",
									    """<unk>""",
									]
									_SCREAMING_SNAKE_CASE     				=  dict(zip(UpperCAmelCase_				,     range(len(UpperCAmelCase_					)					)					)					)
									_SCREAMING_SNAKE_CASE     				=  ["""#version: 0.2""", """l o""", """lo w""", """e r</w>""", """"""]

									_SCREAMING_SNAKE_CASE     				=  os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES["""vocab_file"""]					)
									_SCREAMING_SNAKE_CASE     				=  os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES["""merges_file"""]					)
									with open(self.vocab_file				,     """w"""					) as fp:
															fp.write(json.dumps(UpperCAmelCase_					)					)
									with open(self.merges_file				,     """w"""					) as fp:
															fp.write("""\n""".join(UpperCAmelCase_					)					)







			def 							UpperCamelCase				(     self:  List[Any]				,     UpperCAmelCase_:  Dict					):







									'''simple docstring'''




									return "lower newer", "lower newer"







			def 							UpperCamelCase				(     self:  Any					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  OpenAIGPTTokenizer(self.vocab_file				,     self.merges_file					)

									_SCREAMING_SNAKE_CASE     				=  """lower"""
									_SCREAMING_SNAKE_CASE     				=  ["""low""", """er</w>"""]
									_SCREAMING_SNAKE_CASE     				=  tokenizer.tokenize(UpperCAmelCase_					)
									self.assertListEqual(UpperCAmelCase_				,     UpperCAmelCase_					)

									_SCREAMING_SNAKE_CASE     				=  tokens + ["""<unk>"""]
									_SCREAMING_SNAKE_CASE     				=  [14, 15, 20]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_					)				,     UpperCAmelCase_					)







			def 							UpperCamelCase				(     self:  Optional[Any]				,     UpperCAmelCase_:  Union[str, Any]=15					):







									'''simple docstring'''




									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'					):
																					_SCREAMING_SNAKE_CASE     				=  self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_				,     **UpperCAmelCase_					)

																					# Simple input
																					_SCREAMING_SNAKE_CASE     				=  """This is a simple input"""
																					_SCREAMING_SNAKE_CASE     				=  ["""This is a simple input 1""", """This is a simple input 2"""]
																					_SCREAMING_SNAKE_CASE     				=  ("""This is a simple input""", """This is a pair""")
																					_SCREAMING_SNAKE_CASE     				=  [
																					    ("""This is a simple input 1""", """This is a simple input 2"""),
																					    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																					]

																					# Simple input tests
																					self.assertRaises(UpperCAmelCase_				,     tokenizer_r.encode				,     UpperCAmelCase_				,     max_length=UpperCAmelCase_				,     padding="""max_length"""					)

																					# Simple input
																					self.assertRaises(UpperCAmelCase_				,     tokenizer_r.encode_plus				,     UpperCAmelCase_				,     max_length=UpperCAmelCase_				,     padding="""max_length"""					)

																					# Simple input
																					self.assertRaises(
																					    UpperCAmelCase_				,     tokenizer_r.batch_encode_plus				,     UpperCAmelCase_				,     max_length=UpperCAmelCase_				,     padding="""max_length"""				,     )

																					# Pair input
																					self.assertRaises(UpperCAmelCase_				,     tokenizer_r.encode				,     UpperCAmelCase_				,     max_length=UpperCAmelCase_				,     padding="""max_length"""					)

																					# Pair input
																					self.assertRaises(UpperCAmelCase_				,     tokenizer_r.encode_plus				,     UpperCAmelCase_				,     max_length=UpperCAmelCase_				,     padding="""max_length"""					)

																					# Pair input
																					self.assertRaises(
																					    UpperCAmelCase_				,     tokenizer_r.batch_encode_plus				,     UpperCAmelCase_				,     max_length=UpperCAmelCase_				,     padding="""max_length"""				,     )







			def 							UpperCamelCase				(     self:  List[Any]					):







									'''simple docstring'''




									pass



@require_ftfy
@require_spacy
@require_tokenizers
class 				__UpperCAmelCase		(_UpperCAmelCase   ):
			pass

