"""simple docstring"""




from manim import *


class      lowerCamelCase_					(       __lowerCAmelCase			):






    '''simple docstring'''






    def       UpperCamelCase__       (     self)	->     Any:
        __UpperCamelCase					:Union[str, Any]        =		Rectangle(height=0.5			,			width=0.5)
        __UpperCamelCase					:int        =		Rectangle(height=0.46			,			width=0.46).set_stroke(width=0)

        __UpperCamelCase					:Dict        =		[mem.copy() for i in range(6)]
        __UpperCamelCase					:Dict        =		[mem.copy() for i in range(6)]
        __UpperCamelCase					:str        =		VGroup(*lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0)
        __UpperCamelCase					:Optional[Any]        =		VGroup(*lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0)
        __UpperCamelCase					:Optional[Any]        =		VGroup(lowerCamelCase__			,			lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0)
        __UpperCamelCase					:Optional[Any]        =		Text('''CPU'''			,			font_size=24)
        __UpperCamelCase					:Optional[int]        =		Group(lowerCamelCase__			,			lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0.5			,			aligned_edge=lowerCamelCase__)
        cpu.move_to([-2.5, -0.5, 0])
        self.add(lowerCamelCase__)

        __UpperCamelCase					:List[Any]        =		[mem.copy() for i in range(1)]
        __UpperCamelCase					:Tuple        =		VGroup(*lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0)
        __UpperCamelCase					:Optional[Any]        =		Text('''GPU'''			,			font_size=24)
        __UpperCamelCase					:Tuple        =		Group(lowerCamelCase__			,			lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0.5			,			aligned_edge=lowerCamelCase__)
        gpu.align_to(lowerCamelCase__			,			lowerCamelCase__)
        gpu.set_x(gpu.get_x() - 1)

        self.add(lowerCamelCase__)

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

        __UpperCamelCase					:Tuple        =		Text('''Model'''			,			font_size=24)
        __UpperCamelCase					:List[Any]        =		Group(lowerCamelCase__			,			lowerCamelCase__).arrange(lowerCamelCase__			,			buff=0.5			,			aligned_edge=lowerCamelCase__)
        model.move_to([3, -1.0, 0])

        self.play(
            Create(lowerCamelCase__			,			run_time=1)			,			Create(lowerCamelCase__			,			run_time=1)			,			Create(lowerCamelCase__			,			run_time=1)			,			)

        __UpperCamelCase					:Tuple        =		MarkupText(
            f"""First, an empty model skeleton is loaded\ninto <span fgcolor='{YELLOW}'>memory</span> without using much RAM."""			,			font_size=24			,			)

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

        __UpperCamelCase					:Optional[int]        =		MarkupText(
            f"""<b>Key:</b>\n\n<span fgcolor='{YELLOW}'>●</span> Empty Model"""			,			font_size=18			,			)

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

        step_a.move_to([2, 2, 0])
        self.play(Write(lowerCamelCase__			,			run_time=2.5)			,			Write(lowerCamelCase__)			,			Write(lowerCamelCase__))

        self.add(lowerCamelCase__)

        __UpperCamelCase					:Optional[Any]        =		[]
        __UpperCamelCase					:Any        =		[]
        __UpperCamelCase					:Optional[Any]        =		[]
        for i, rect in enumerate(lowerCamelCase__):
            __UpperCamelCase					:Optional[Any]        =		Rectangle(height=0.46			,			width=0.46).set_stroke(width=0.0).set_fill(lowerCamelCase__			,			opacity=0.7)
            cpu_target.move_to(lowerCamelCase__)
            cpu_target.generate_target()
            __UpperCamelCase					:Any        =		0.46 / 4
            __UpperCamelCase					:Union[str, Any]        =		0.46 / 3

            if i == 0:
                cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT)			,			buff=0.02			,			direction=lowerCamelCase__)
                cpu_target.target.set_x(cpu_target.target.get_x() + 0.1)
            elif i == 3:
                cpu_target.target.next_to(cpu_targs[0].target			,			direction=lowerCamelCase__			,			buff=0.0)
            else:
                cpu_target.target.next_to(cpu_targs[i - 1].target			,			direction=lowerCamelCase__			,			buff=0.0)
            cpu_targs.append(lowerCamelCase__)

            first_animations.append(rect.animate(run_time=0.5).set_stroke(lowerCamelCase__))
            second_animations.append(MoveToTarget(lowerCamelCase__			,			run_time=1.5))

        self.play(*lowerCamelCase__)
        self.play(*lowerCamelCase__)

        self.wait()






from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


__lowercase										= logging.get_logger(__name__)

__lowercase										= {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowercase										= {
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

__lowercase										= {'''allegro/herbert-base-cased''': 514}
__lowercase										= {}


class      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






    a__     :						Tuple      =				VOCAB_FILES_NAMES
    a__     :						Dict      =				PRETRAINED_VOCAB_FILES_MAP
    a__     :						Tuple      =				PRETRAINED_INIT_CONFIGURATION
    a__     :						Optional[Any]      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__     :						Union[str, Any]      =				HerbertTokenizer







    def __init__(     self			,			__lowercase=None			,			__lowercase=None			,			__lowercase=None			,			__lowercase="<s>"			,			__lowercase="<unk>"			,			__lowercase="<pad>"			,			__lowercase="<mask>"			,			__lowercase="</s>"			,			**__lowercase			,			)	->     Optional[Any]:
        super().__init__(
            __lowercase			,			__lowercase			,			tokenizer_file=__lowercase			,			cls_token=__lowercase			,			unk_token=__lowercase			,			pad_token=__lowercase			,			mask_token=__lowercase			,			sep_token=__lowercase			,			**__lowercase			,			)







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None)	->     List[int]:
        __UpperCamelCase					:List[str]        =		[self.cls_token_id]
        __UpperCamelCase					:Tuple        =		[self.sep_token_id]
        if token_ids_a is None:
            return cls + token_ids_a + sep

        return cls + token_ids_a + sep + token_ids_a + sep







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None			,			__lowercase = False)	->     List[int]:
        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__lowercase			,			token_ids_a=__lowercase			,			already_has_special_tokens=__lowercase)

        if token_ids_a is None:
            return [1] + ([0] * len(__lowercase)) + [1]
        return [1] + ([0] * len(__lowercase)) + [1] + ([0] * len(__lowercase)) + [1]







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None)	->     List[int]:
        __UpperCamelCase					:Optional[Any]        =		[self.sep_token_id]
        __UpperCamelCase					:int        =		[self.cls_token_id]

        if token_ids_a is None:
            return len(cls + token_ids_a + sep) * [0]
        return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None)	->     Tuple[str]:
        __UpperCamelCase					:Optional[int]        =		self._tokenizer.model.save(__lowercase			,			name=__lowercase)
        return tuple(__lowercase)





