

import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase			:				Any   =     logging.get_logger(__name__)

lowercase			:				Dict   =     {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowercase			:				Dict   =     {
    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"},
    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"},
}

lowercase			:				Optional[int]   =     {
    "ctrl": 2_56,
}

lowercase			:				Union[str, Any]   =     {
    "Pregnancy": 16_86_29,
    "Christianity": 76_75,
    "Explain": 10_64_23,
    "Fitness": 6_34_40,
    "Saving": 6_31_63,
    "Ask": 2_71_71,
    "Ass": 9_59_85,
    "Joke": 16_35_09,
    "Questions": 4_56_22,
    "Thoughts": 4_96_05,
    "Retail": 5_23_42,
    "Feminism": 16_43_38,
    "Writing": 1_19_92,
    "Atheism": 19_22_63,
    "Netflix": 4_86_16,
    "Computing": 3_96_39,
    "Opinion": 4_32_13,
    "Alone": 4_49_67,
    "Funny": 5_89_17,
    "Gaming": 4_03_58,
    "Human": 40_88,
    "India": 13_31,
    "Joker": 7_71_38,
    "Diet": 3_62_06,
    "Legal": 1_18_59,
    "Norman": 49_39,
    "Tip": 7_26_89,
    "Weight": 5_23_43,
    "Movies": 4_62_73,
    "Running": 2_34_25,
    "Science": 20_90,
    "Horror": 3_77_93,
    "Confession": 6_05_72,
    "Finance": 1_22_50,
    "Politics": 1_63_60,
    "Scary": 19_19_85,
    "Support": 1_26_54,
    "Technologies": 3_25_16,
    "Teenage": 6_61_60,
    "Event": 3_27_69,
    "Learned": 6_74_60,
    "Notion": 18_27_70,
    "Wikipedia": 3_75_83,
    "Books": 66_65,
    "Extract": 7_60_50,
    "Confessions": 10_27_01,
    "Conspiracy": 7_59_32,
    "Links": 6_36_74,
    "Narcissus": 15_04_25,
    "Relationship": 5_47_66,
    "Relationships": 13_47_96,
    "Reviews": 4_16_71,
    "News": 42_56,
    "Translation": 2_68_20,
    "multilingual": 12_84_06,
}






def        snake_case__		(    lowerCamelCase_		):
							A      :					Dict      		=					set()
							A      :					Union[str, Any]      		=					word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)		)
														A      :					List[Any]      		=					char

							A      :					List[str]      		=					set(lowerCamelCase_		)
							return pairs







class 					__lowercase  (						__A				):





							"""simple docstring"""

							UpperCAmelCase_						:		int								=	VOCAB_FILES_NAMES
							UpperCAmelCase_						:		Optional[int]								=	PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase_						:		List[Any]								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase_						:		str								=	CONTROL_CODES




							def __init__(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase    ,						__UpperCAmelCase="<unk>"    ,						**__UpperCAmelCase						)		->       str:
														super().__init__(unk_token=snake_case_    ,						**snake_case_						)

														with open(snake_case_    ,						encoding='''utf-8'''						) as vocab_handle:
																					A      :					Union[str, Any]      		=					json.load(snake_case_						)
														A      :					Tuple      		=					{v: k for k, v in self.encoder.items()}
														with open(snake_case_    ,						encoding='''utf-8'''						) as merges_handle:
																					A      :					Tuple      		=					merges_handle.read().split('''\n'''						)[1:-1]
														A      :					str      		=					[tuple(merge.split()						) for merge in merges]
														A      :					List[str]      		=					dict(zip(snake_case_    ,						range(len(snake_case_						)						)						)						)
														A      :					Union[str, Any]      		=					{}




							@property
							def       snake_case			(					self						)		->       Tuple:
														return len(self.encoder						)




							def       snake_case			(					self						)		->       Optional[Any]:
														return dict(self.encoder    ,						**self.added_tokens_encoder						)




							def       snake_case			(					self    ,						__UpperCAmelCase						)		->       str:


														if token in self.cache:
																					return self.cache[token]
														A      :					Optional[int]      		=					tuple(snake_case_						)
														A      :					Dict      		=					tuple(list(word[:-1]						) + [word[-1] + '''</w>''']						)
														A      :					Tuple      		=					get_pairs(snake_case_						)

														if not pairs:
																					return token

														while True:
																					A      :					Optional[int]      		=					min(snake_case_    ,						key=lambda __UpperCAmelCase						: self.bpe_ranks.get(snake_case_    ,						float('''inf'''						)						)						)
																					if bigram not in self.bpe_ranks:
																												break
																					A      :					str      		=					bigram
																					A      :					str      		=					[]
																					A      :					str      		=					0
																					while i < len(snake_case_						):
																												try:
																																			A      :					List[str]      		=					word.index(snake_case_    ,						snake_case_						)
																												except ValueError:
																																			new_word.extend(word[i:]						)
																																			break
																												else:
																																			new_word.extend(word[i:j]						)
																																			A      :					int      		=					j

																												if word[i] == first and i < len(snake_case_						) - 1 and word[i + 1] == second:
																																			new_word.append(first + second						)
																																			i += 2
																												else:
																																			new_word.append(word[i]						)
																																			i += 1
																					A      :					Dict      		=					tuple(snake_case_						)
																					A      :					int      		=					new_word
																					if len(snake_case_						) == 1:
																												break
																					else:
																												A      :					Any      		=					get_pairs(snake_case_						)
														A      :					Any      		=					"""@@ """.join(snake_case_						)
														A      :					List[Any]      		=					word[:-4]
														A      :					Any      		=					word
														return word




							def       snake_case			(					self    ,						__UpperCAmelCase						)		->       Optional[Any]:
														A      :					Optional[int]      		=					[]

														A      :					List[str]      		=					re.findall(R'''\S+\n?'''    ,						snake_case_						)

														for token in words:
																					split_tokens.extend(list(self.bpe(snake_case_						).split(''' '''						)						)						)
														return split_tokens




							def       snake_case			(					self    ,						__UpperCAmelCase						)		->       List[Any]:
														return self.encoder.get(snake_case_    ,						self.encoder.get(self.unk_token						)						)




							def       snake_case			(					self    ,						__UpperCAmelCase						)		->       int:
														return self.decoder.get(snake_case_    ,						self.unk_token						)




							def       snake_case			(					self    ,						__UpperCAmelCase						)		->       Optional[Any]:
														A      :					Optional[Any]      		=					""" """.join(snake_case_						).replace('''@@ '''    ,						''''''						).strip()
														return out_string






							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase = None						)		->       Tuple:


														if not os.path.isdir(snake_case_						):
																					logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
																					return
														A      :					int      		=					os.path.join(
														    snake_case_    ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)
														A      :					Union[str, Any]      		=					os.path.join(
														    snake_case_    ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']						)

														with open(snake_case_    ,						'''w'''    ,						encoding='''utf-8'''						) as f:
																					f.write(json.dumps(self.encoder    ,						indent=2    ,						sort_keys=snake_case_    ,						ensure_ascii=snake_case_						) + '''\n'''						)

														A      :					str      		=					0
														with open(snake_case_    ,						'''w'''    ,						encoding='''utf-8'''						) as writer:
																					writer.write('''#version: 0.2\n'''						)
																					for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,						key=lambda __UpperCAmelCase						: kv[1]						):
																												if index != token_index:
																																			logger.warning(
																																			    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																																			    ''' Please check that the tokenizer is not corrupted!'''						)
																																			A      :					List[str]      		=					token_index
																												writer.write(''' '''.join(snake_case_						) + '''\n'''						)
																												index += 1

														return vocab_file, merge_file

							# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
							#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
							#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
							#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
							#     return ''.join(tokens_generated_so_far)







"""simple docstring"""



import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer

def  _A(		lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase=1024							):
							A__				,							A__       :     Any								=			[], []

							A__       :     List[Any]								=			list(zip(lowerCAmelCase			,  lowerCAmelCase							)							)
							A__				,							A__       :     Optional[int]								=			sorted_examples[0]

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

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

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

def  _A(		lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase							):
							A__       :     Optional[int]								=			Path(lowerCAmelCase							)
							save_path.mkdir(exist_ok=lowerCAmelCase							)
							for split in ["train"]:
														A__				,							A__       :     List[Any]								=			data_dir / F'''{split}.source''', data_dir / F'''{split}.target'''
														A__       :     Tuple								=			[x.rstrip() for x in Path(lowerCAmelCase							).open().readlines()]
														A__       :     Union[str, Any]								=			[x.rstrip() for x in Path(lowerCAmelCase							).open().readlines()]
														A__				,							A__       :     Tuple								=			pack_examples(lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase							)
														print(F'''packed {split} split from {len(lowerCAmelCase							)} examples -> {len(lowerCAmelCase							)}.'''							)
														Path(save_path / F'''{split}.source'''							).open("""w"""							).write("""\n""".join(lowerCAmelCase							)							)
														Path(save_path / F'''{split}.target'''							).open("""w"""							).write("""\n""".join(lowerCAmelCase							)							)
							for split in ["val", "test"]:
														A__				,							A__       :     Dict								=			data_dir / F'''{split}.source''', data_dir / F'''{split}.target'''
														shutil.copyfile(lowerCAmelCase			,  save_path / F'''{split}.source'''							)
														shutil.copyfile(lowerCAmelCase			,  save_path / F'''{split}.target'''							)

def  _A(		):
							A__       :     str								=			argparse.ArgumentParser()
							parser.add_argument("""--tok_name"""			,  type=lowerCAmelCase			,  help="""like facebook/bart-large-cnn,t5-base, etc."""							)
							parser.add_argument("""--max_seq_len"""			,  type=lowerCAmelCase			,  default=128							)
							parser.add_argument("""--data_dir"""			,  type=lowerCAmelCase							)
							parser.add_argument("""--save_path"""			,  type=lowerCAmelCase							)
							A__       :     str								=			parser.parse_args()
							A__       :     Optional[Any]								=			AutoTokenizer.from_pretrained(args.tok_name							)
							return pack_data_dir(lowerCAmelCase			,  Path(args.data_dir							)			,  args.max_seq_len			,  args.save_path							)


if __name__ == "__main__":
				packer_cli()





