





import json
import os
from typing import Optional, Tuple

import regex as re

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


_a						=   logging.get_logger(__name__)

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

_a						=   {
    "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"},
}

_a						=   {
    "ctrl": 256,
}

_a						=   {
    "Pregnancy": 168_629,
    "Christianity": 7_675,
    "Explain": 106_423,
    "Fitness": 63_440,
    "Saving": 63_163,
    "Ask": 27_171,
    "Ass": 95_985,
    "Joke": 163_509,
    "Questions": 45_622,
    "Thoughts": 49_605,
    "Retail": 52_342,
    "Feminism": 164_338,
    "Writing": 11_992,
    "Atheism": 192_263,
    "Netflix": 48_616,
    "Computing": 39_639,
    "Opinion": 43_213,
    "Alone": 44_967,
    "Funny": 58_917,
    "Gaming": 40_358,
    "Human": 4_088,
    "India": 1_331,
    "Joker": 77_138,
    "Diet": 36_206,
    "Legal": 11_859,
    "Norman": 4_939,
    "Tip": 72_689,
    "Weight": 52_343,
    "Movies": 46_273,
    "Running": 23_425,
    "Science": 2_090,
    "Horror": 37_793,
    "Confession": 60_572,
    "Finance": 12_250,
    "Politics": 16_360,
    "Scary": 191_985,
    "Support": 12_654,
    "Technologies": 32_516,
    "Teenage": 66_160,
    "Event": 32_769,
    "Learned": 67_460,
    "Notion": 182_770,
    "Wikipedia": 37_583,
    "Books": 6_665,
    "Extract": 76_050,
    "Confessions": 102_701,
    "Conspiracy": 75_932,
    "Links": 63_674,
    "Narcissus": 150_425,
    "Relationship": 54_766,
    "Relationships": 134_796,
    "Reviews": 41_671,
    "News": 4_256,
    "Translation": 26_820,
    "multilingual": 128_406,
}





def lowerCAmelCase__(__snake_case							)       ->   Any:







	'''simple docstring'''







	lowerCamelCase__              =	set()
	lowerCamelCase__              =	word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)							)
		lowerCamelCase__              =	char

	lowerCamelCase__              =	set(__snake_case							)
	return pairs






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		VOCAB_FILES_NAMES
			lowerCAmelCase_							  =		PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_							  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase_							  =		CONTROL_CODES





			def __init__(					self ,						__lowerCAmelCase ,						__lowerCAmelCase ,						__lowerCAmelCase="<unk>" ,						**__lowerCAmelCase							):



				'''simple docstring'''







				super().__init__(unk_token=__lowerCAmelCase ,						**__lowerCAmelCase							)

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





			@property
			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				return len(self.encoder							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				return dict(self.encoder ,						**self.added_tokens_encoder							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				if token in self.cache:
					return self.cache[token]
				lowerCamelCase__              =	tuple(__lowerCAmelCase							)
				lowerCamelCase__              =	tuple(list(word[:-1]							) + [word[-1] + '''</w>''']							)
				lowerCamelCase__              =	get_pairs(__lowerCAmelCase							)

				if not pairs:
					return token

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

						if word[i] == first and i < len(__lowerCAmelCase							) - 1 and word[i + 1] == second:
							new_word.append(first + second							)
							i += 2
						else:
							new_word.append(word[i]							)
							i += 1
					lowerCamelCase__              =	tuple(__lowerCAmelCase							)
					lowerCamelCase__              =	new_word
					if len(__lowerCAmelCase							) == 1:
						break
					else:
						lowerCamelCase__              =	get_pairs(__lowerCAmelCase							)
				lowerCamelCase__              =	'''@@ '''.join(__lowerCAmelCase							)
				lowerCamelCase__              =	word[:-4]
				lowerCamelCase__              =	word
				return word





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	[]

				lowerCamelCase__              =	re.findall(r'''\S+\n?''' ,						__lowerCAmelCase							)

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





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				return self.encoder.get(__lowerCAmelCase ,						self.encoder.get(self.unk_token							)							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				return self.decoder.get(__lowerCAmelCase ,						self.unk_token							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	''' '''.join(__lowerCAmelCase							).replace('''@@ ''' ,						''''''							).strip()
				return out_string





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase ,						__lowerCAmelCase = None							):



				'''simple docstring'''







				if not os.path.isdir(__lowerCAmelCase							):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
					return
				lowerCamelCase__              =	os.path.join(
				    __lowerCAmelCase ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
				lowerCamelCase__              =	os.path.join(
				    __lowerCAmelCase ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']							)

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

				lowerCamelCase__              =	0
				with open(__lowerCAmelCase ,						'''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 __lowerCAmelCase							: 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!'''							)
							lowerCamelCase__              =	token_index
						writer.write(''' '''.join(__lowerCAmelCase							) + '''\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)










from queue import PriorityQueue
from typing import Any

import numpy as np





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)       ->   float | int:







	'''simple docstring'''







	for nxt, d in graph[v]:
		if nxt in visited_forward:
			continue
		lowerCamelCase__              =	cst_fwd.get(__snake_case ,np.inf							)
		lowerCamelCase__              =	cst_fwd[v] + d
		if new_cost_f < old_cost_f:
			queue.put((new_cost_f, nxt)							)
			lowerCamelCase__              =	new_cost_f
			lowerCamelCase__              =	v
		if nxt in visited_backward:
			if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
				lowerCamelCase__              =	cst_fwd[v] + d + cst_bwd[nxt]
	return shortest_distance





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case							)       ->   int:







	'''simple docstring'''







	lowerCamelCase__              =	-1

	lowerCamelCase__              =	set()
	lowerCamelCase__              =	set()
	lowerCamelCase__              =	{source: 0}
	lowerCamelCase__              =	{destination: 0}
	lowerCamelCase__              =	{source: None}
	lowerCamelCase__              =	{destination: None}
	lowerCamelCase__              =	PriorityQueue()
	lowerCamelCase__              =	PriorityQueue()

	lowerCamelCase__              =	np.inf

	queue_forward.put((0, source)							)
	queue_backward.put((0, destination)							)

	if source == destination:
		return 0

	while not queue_forward.empty() and not queue_backward.empty():
		lowerCamelCase__       ,			lowerCamelCase__              =	queue_forward.get()
		visited_forward.add(__snake_case							)

		lowerCamelCase__       ,			lowerCamelCase__              =	queue_backward.get()
		visited_backward.add(__snake_case							)

		lowerCamelCase__              =	pass_and_relaxation(
		    __snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)

		lowerCamelCase__              =	pass_and_relaxation(
		    __snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)

		if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
			break

	if shortest_distance != np.inf:
		lowerCamelCase__              =	shortest_distance
	return shortest_path_distance


_a						=   {
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}
_a						=   {
    "B": [["E", 1]],
    "C": [["B", 1]],
    "D": [["C", 1]],
    "F": [["D", 1], ["G", 1]],
    "E": [[None, np.inf]],
    "G": [["E", 2]],
}

if __name__ == "__main__":
			import doctest

			doctest.testmod()



