

from manim import *





class 				__lowerCAmelCase  (      __a							):




  def 						A__  (       self      )						->				str:
        '''simple docstring'''






        _lowercase			 =Rectangle(height=0.5							,     width=0.5      )
        _lowercase			 =Rectangle(height=0.46							,     width=0.46      ).set_stroke(width=0      )

        _lowercase			 =[mem.copy() for i in range(6      )]
        _lowercase			 =[mem.copy() for i in range(6      )]
        _lowercase			 =VGroup(*A__      ).arrange(A__							,     buff=0      )
        _lowercase			 =VGroup(*A__      ).arrange(A__							,     buff=0      )
        _lowercase			 =VGroup(A__							,     A__      ).arrange(A__							,     buff=0      )
        _lowercase			 =Text('CPU'							,     font_size=24      )
        _lowercase			 =Group(A__							,     A__      ).arrange(A__							,     buff=0.5							,     aligned_edge=A__      )
        cpu.move_to([-2.5, -0.5, 0]      )
        self.add(A__      )

        _lowercase			 =[mem.copy() for i in range(1      )]
        _lowercase			 =VGroup(*A__      ).arrange(A__							,     buff=0      )
        _lowercase			 =Text('GPU'							,     font_size=24      )
        _lowercase			 =Group(A__							,     A__      ).arrange(A__							,     buff=0.5							,     aligned_edge=A__      )
        gpu.align_to(A__							,     A__      )
        gpu.set_x(gpu.get_x() - 1      )

        self.add(A__      )

        _lowercase			 =[mem.copy() for i in range(6      )]
        _lowercase			 =VGroup(*A__      ).arrange(A__							,     buff=0      )

        _lowercase			 =Text('Model'							,     font_size=24      )
        _lowercase			 =Group(A__							,     A__      ).arrange(A__							,     buff=0.5							,     aligned_edge=A__      )
        model.move_to([3, -1.0, 0]      )

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

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

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

        _lowercase			 =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(A__							,     run_time=2.5      )							,     Write(A__      )							,     Write(A__      )      )

        self.add(A__      )

        _lowercase			 =[]
        _lowercase			 =[]
        _lowercase			 =[]
        for i, rect in enumerate(A__      ):
              _lowercase			 =Rectangle(height=0.46							,     width=0.46      ).set_stroke(width=0.0      ).set_fill(A__							,     opacity=0.7      )
              cpu_target.move_to(A__      )
              cpu_target.generate_target()
              _lowercase			 =0.46 / 4
              _lowercase			 =0.46 / 3

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

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

        self.play(*A__      )
        self.play(*A__      )

        self.wait()





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 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE    ,    unittest.TestCase							):
  _a		    =						OpenAIGPTTokenizer
  _a		    =						OpenAIGPTTokenizerFast
  _a		    =						True
  _a		    =						False




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        _lowercase			 =[
            '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>',
        ]
        _lowercase			 =dict(zip(lowerCAmelCase							,     range(len(lowerCAmelCase      )      )      )      )
        _lowercase			 =['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

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




  def 						A__  (       self							,     lowerCAmelCase      )						->				str:
        '''simple docstring'''






        return "lower newer", "lower newer"




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






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

        _lowercase			 ='lower'
        _lowercase			 =['low', 'er</w>']
        _lowercase			 =tokenizer.tokenize(lowerCAmelCase      )
        self.assertListEqual(lowerCAmelCase							,     lowerCAmelCase      )

        _lowercase			 =tokens + ['<unk>']
        _lowercase			 =[14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase      )							,     lowerCAmelCase      )




  def 						A__  (       self							,     lowerCAmelCase=15      )						->				Union[str, Any]:
        '''simple docstring'''






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

                    # Simple input
                    _lowercase			 ='This is a simple input'
                    _lowercase			 =['This is a simple input 1', 'This is a simple input 2']
                    _lowercase			 =('This is a simple input', 'This is a pair')
                    _lowercase			 =[
                        ('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(lowerCAmelCase							,     tokenizer_r.encode							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Simple input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Simple input
                    self.assertRaises(
                        lowerCAmelCase							,     tokenizer_r.batch_encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'							,     )

                    # Pair input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Pair input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Pair input
                    self.assertRaises(
                        lowerCAmelCase							,     tokenizer_r.batch_encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'							,     )




  def 						A__  (       self      )						->				Dict:
        '''simple docstring'''






        pass





@require_ftfy
@require_spacy
@require_tokenizers
class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  pass


