






import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

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


__magic_name__:					int							=     logging.get_logger(__name__)


__magic_name__:					Tuple							=     {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__magic_name__:					str							=     {
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

__magic_name__:					Union[str, Any]							=     {"facebook/blenderbot_small-90M": 512}

def    UpperCamelCase						(	_A			):






						"""simple docstring"""







						__magic_name__      :       Tuple       						= set()
						__magic_name__      :       str       						= word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)			)
												__magic_name__      :       Union[str, Any]       						= char

						__magic_name__      :       int       						= set(_A			)
						return pairs





class 	snake_case__ (							_lowerCAmelCase				):
	lowercase__						:					Union[str, Any]											=   VOCAB_FILES_NAMES
	lowercase__						:					Union[str, Any]											=   PRETRAINED_VOCAB_FILES_MAP
	lowercase__						:					Optional[Any]											=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowercase__						:					Dict											=   ['''input_ids''', '''attention_mask''']
	def __init__(    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__      ,       lowerCAmelCase__="__start__"      ,       lowerCAmelCase__="__end__"      ,       lowerCAmelCase__="__unk__"      ,       lowerCAmelCase__="__null__"      ,       **lowerCAmelCase__      ,       )							->				int:
							super().__init__(unk_token=lowerCAmelCase__      ,       bos_token=lowerCAmelCase__      ,       eos_token=lowerCAmelCase__      ,       pad_token=lowerCAmelCase__      ,       **lowerCAmelCase__			)

							with open(lowerCAmelCase__      ,       encoding="""utf-8"""			) as vocab_handle:
													__magic_name__      :       Any       						= json.load(lowerCAmelCase__			)
							__magic_name__      :       str       						= {v: k for k, v in self.encoder.items()}
							with open(lowerCAmelCase__      ,       encoding="""utf-8"""			) as merges_handle:
													__magic_name__      :       Any       						= merges_handle.read().split("""\n"""			)[1:-1]
							__magic_name__      :       Tuple       						= [tuple(merge.split()			) for merge in merges]
							__magic_name__      :       Any       						= dict(zip(lowerCAmelCase__      ,       range(len(lowerCAmelCase__			)			)			)			)
							__magic_name__      :       Optional[Any]       						= {}
	@property
	def       __magic_name__    (    self			)							->				int:
							return len(self.encoder			)
	def       __magic_name__    (    self			)							->				Dict:
							return dict(self.encoder      ,       **self.added_tokens_encoder			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				str:
							if token in self.cache:
													return self.cache[token]
							__magic_name__      :       Optional[Any]       						= re.sub("""([.,!?()])"""      ,       R""" \1"""      ,       lowerCAmelCase__			)
							__magic_name__      :       str       						= re.sub("""(')"""      ,       R""" \1 """      ,       lowerCAmelCase__			)
							__magic_name__      :       List[Any]       						= re.sub(R"""\s{2,}"""      ,       """ """      ,       lowerCAmelCase__			)
							if "\n" in token:
													__magic_name__      :       Any       						= token.replace("""\n"""      ,       """ __newln__"""			)

							__magic_name__      :       Tuple       						= token.split(""" """			)
							__magic_name__      :       Any       						= []
							for token in tokens:
													if not len(lowerCAmelCase__			):
																			continue

													__magic_name__      :       str       						= token.lower()
													__magic_name__      :       Optional[Any]       						= tuple(lowerCAmelCase__			)
													__magic_name__      :       Optional[int]       						= tuple(list(word[:-1]			) + [word[-1] + """</w>"""]			)
													__magic_name__      :       List[Any]       						= get_pairs(lowerCAmelCase__			)

													if not pairs:
																			words.append(lowerCAmelCase__			)
																			continue

													while True:
																			__magic_name__      :       Optional[Any]       						= min(lowerCAmelCase__      ,       key=lambda lowerCAmelCase__			: self.bpe_ranks.get(lowerCAmelCase__      ,       float("""inf"""			)			)			)
																			if bigram not in self.bpe_ranks:
																									break
																			__magic_name__						,__magic_name__      :       Tuple       						= bigram
																			__magic_name__      :       Dict       						= []
																			__magic_name__      :       Dict       						= 0

																			while i < len(lowerCAmelCase__			):
																									try:
																															__magic_name__      :       List[str]       						= word.index(lowerCAmelCase__      ,       lowerCAmelCase__			)
																															new_word.extend(word[i:j]			)
																															__magic_name__      :       Tuple       						= j
																									except ValueError:
																															new_word.extend(word[i:]			)
																															break

																									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
																			__magic_name__      :       str       						= tuple(lowerCAmelCase__			)
																			__magic_name__      :       Union[str, Any]       						= new_word
																			if len(lowerCAmelCase__			) == 1:
																									break
																			else:
																									__magic_name__      :       Any       						= get_pairs(lowerCAmelCase__			)
													__magic_name__      :       Optional[int]       						= """@@ """.join(lowerCAmelCase__			)
													__magic_name__      :       List[Any]       						= word[:-4]

													__magic_name__      :       Union[str, Any]       						= word
													words.append(lowerCAmelCase__			)
							return " ".join(lowerCAmelCase__			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				List[str]:
							__magic_name__      :       Union[str, Any]       						= []

							__magic_name__      :       Tuple       						= re.findall(R"""\S+\n?"""      ,       lowerCAmelCase__			)

							for token in words:
													split_tokens.extend(list(self.bpe(lowerCAmelCase__			).split(""" """			)			)			)
							return split_tokens
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				int:
							__magic_name__      :       Dict       						= token.lower()
							return self.encoder.get(lowerCAmelCase__      ,       self.encoder.get(self.unk_token			)			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				str:
							return self.decoder.get(lowerCAmelCase__      ,       self.unk_token			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				str:
							__magic_name__      :       Dict       						= """ """.join(lowerCAmelCase__			).replace("""@@ """      ,       """"""			).strip()
							return out_string







	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__ = None			)							->				Tuple[str]:
							if not os.path.isdir(lowerCAmelCase__			):
													logger.error(F'Vocabulary path ({save_directory}) should be a directory'			)
													return
							__magic_name__      :       Dict       						= os.path.join(
							    lowerCAmelCase__      ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)
							__magic_name__      :       int       						= 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"""			)

							__magic_name__      :       List[str]       						= 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!"""			)
																									__magic_name__      :       List[str]       						= token_index
																			writer.write(""" """.join(lowerCAmelCase__			) + """\n"""			)
																			index += 1

							return vocab_file, merge_file








from manim import *





class 	snake_case__ (							_lowerCAmelCase				):
	def       __magic_name__    (    self			)							->				Dict:
							__magic_name__      :       int       						= Rectangle(height=0.5      ,       width=0.5			)
							__magic_name__      :       Optional[int]       						= Rectangle(height=0.2_5      ,       width=0.2_5			)
							__magic_name__      :       str       						= Rectangle(height=0.4_6      ,       width=0.4_6			).set_stroke(width=0			)

							__magic_name__      :       List[Any]       						= [mem.copy() for i in range(6			)]
							__magic_name__      :       int       						= [mem.copy() for i in range(6			)]
							__magic_name__      :       Tuple       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       List[str]       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       str       						= VGroup(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       Union[str, Any]       						= Text("""CPU"""      ,       font_size=24			)
							__magic_name__      :       Tuple       						= Group(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0.5      ,       aligned_edge=lowerCAmelCase__			)
							cpu.move_to([-2.5, -0.5, 0]			)
							self.add(lowerCAmelCase__			)

							__magic_name__      :       Any       						= [mem.copy() for i in range(4			)]
							__magic_name__      :       List[Any]       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       Tuple       						= Text("""GPU"""      ,       font_size=24			)
							__magic_name__      :       Tuple       						= Group(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0.5      ,       aligned_edge=lowerCAmelCase__			)
							gpu.move_to([-1, -1, 0]			)
							self.add(lowerCAmelCase__			)

							__magic_name__      :       Union[str, Any]       						= [mem.copy() for i in range(6			)]
							__magic_name__      :       Union[str, Any]       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)

							__magic_name__      :       str       						= Text("""Model"""      ,       font_size=24			)
							__magic_name__      :       Optional[int]       						= Group(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0.5      ,       aligned_edge=lowerCAmelCase__			)
							model.move_to([3, -1.0, 0]			)
							self.add(lowerCAmelCase__			)

							__magic_name__      :       str       						= []
							__magic_name__      :       Tuple       						= []
							__magic_name__      :       Union[str, Any]       						= []

							for i, rect in enumerate(lowerCAmelCase__			):
													rect.set_stroke(lowerCAmelCase__			)

													__magic_name__      :       Optional[Any]       						= Rectangle(height=0.4_6 / 4      ,       width=0.4_6 / 3			).set_stroke(width=0.0			).set_fill(lowerCAmelCase__      ,       opacity=0.7			)

													if i == 0:
																			cpu_target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT			)      ,       buff=0.0_2      ,       direction=lowerCAmelCase__			)
																			cpu_target.set_x(cpu_target.get_x() + 0.1			)
													elif i == 3:
																			cpu_target.next_to(model_cpu_arr[0]      ,       direction=lowerCAmelCase__      ,       buff=0.0			)
													else:
																			cpu_target.next_to(model_cpu_arr[i - 1]      ,       direction=lowerCAmelCase__      ,       buff=0.0			)
													self.add(lowerCAmelCase__			)
													model_cpu_arr.append(lowerCAmelCase__			)

							self.add(*lowerCAmelCase__      ,       *lowerCAmelCase__      ,       *lowerCAmelCase__			)

							__magic_name__      :       Optional[Any]       						= [mem.copy() for i in range(6			)]
							__magic_name__      :       Optional[Any]       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)

							__magic_name__      :       Any       						= Text("""Loaded Checkpoint"""      ,       font_size=24			)
							__magic_name__      :       Optional[int]       						= Group(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0.5      ,       aligned_edge=lowerCAmelCase__			)
							checkpoint.move_to([3, 0.5, 0]			)

							self.add(lowerCAmelCase__			)

							__magic_name__      :       Optional[int]       						= []
							__magic_name__      :       Tuple       						= []

							for i, rect in enumerate(lowerCAmelCase__			):
													__magic_name__      :       Dict       						= fill.copy().set_fill(lowerCAmelCase__      ,       opacity=0.7			)
													target.move_to(lowerCAmelCase__			)
													ckpt_arr.append(lowerCAmelCase__			)

													__magic_name__      :       int       						= target.copy()
													if i < 5:
																			cpu_target.move_to(cpu_left_col_base[i + 1]			)
													else:
																			cpu_target.move_to(cpu_right_col_base[i - 5]			)
													ckpt_cpu_arr.append(lowerCAmelCase__			)
							self.add(*lowerCAmelCase__      ,       *lowerCAmelCase__			)

							__magic_name__      :       Tuple       						= Square(side_length=2.2			)
							key.move_to([-5, 2, 0]			)

							__magic_name__      :       str       						= MarkupText(
							    F'<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model'      ,       font_size=18      ,       )

							key_text.move_to([-5, 2.4, 0]			)

							self.add(lowerCAmelCase__      ,       lowerCAmelCase__			)

							__magic_name__      :       Any       						= MarkupText(
							    F'<span fgcolor=\'{BLUE}\'>●</span> Checkpoint'      ,       font_size=18      ,       )

							blue_text.next_to(lowerCAmelCase__      ,       DOWN * 2.4      ,       aligned_edge=key_text.get_left()			)
							self.add(lowerCAmelCase__			)

							__magic_name__      :       Optional[Any]       						= MarkupText(
							    F'Based on the passed in configuration, weights are stored in\na variety of np.memmaps on disk or to a particular device.'      ,       font_size=24      ,       )
							step_a.move_to([2, 2, 0]			)

							__magic_name__      :       int       						= [meta_mem.copy() for i in range(6			)]
							__magic_name__      :       Union[str, Any]       						= [meta_mem.copy() for i in range(6			)]
							__magic_name__      :       Any       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       str       						= VGroup(*lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       Tuple       						= VGroup(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0			)
							__magic_name__      :       int       						= Text("""Disk"""      ,       font_size=24			)
							__magic_name__      :       Union[str, Any]       						= Group(lowerCAmelCase__      ,       lowerCAmelCase__			).arrange(lowerCAmelCase__      ,       buff=0.5      ,       aligned_edge=lowerCAmelCase__			)
							disk.move_to([-4.0, -1.2_5, 0]			)
							self.play(Write(lowerCAmelCase__      ,       run_time=3			)      ,       Write(lowerCAmelCase__      ,       run_time=1			)      ,       Create(lowerCAmelCase__      ,       run_time=1			)			)

							__magic_name__      :       List[Any]       						= []
							for i, rect in enumerate(lowerCAmelCase__			):
													__magic_name__      :       Dict       						= rect.copy()
													target.generate_target()
													target.target.move_to(disk_left_col_base[i]			).scale(0.5			)
													animations.append(MoveToTarget(lowerCAmelCase__      ,       run_time=1.5			)			)
							self.play(*lowerCAmelCase__			)

							self.play(FadeOut(lowerCAmelCase__			)			)

							__magic_name__      :       str       						= MarkupText(F'Then, the checkpoint is removed from memory\nthrough garbage collection.'      ,       font_size=24			)
							step_a.move_to([2, 2, 0]			)

							self.play(Write(lowerCAmelCase__      ,       run_time=3			)			)

							self.play(
							    FadeOut(lowerCAmelCase__      ,       lowerCAmelCase__      ,       *lowerCAmelCase__      ,       *lowerCAmelCase__			)      ,       )

							self.wait()
