'''simple docstring'''

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 	a__     (				_lowercase,			unittest.TestCase	):
	__magic_name__		:    Union[str, Any]	    =     OpenAIGPTTokenizer
	__magic_name__		:    Union[str, Any]	    =     OpenAIGPTTokenizerFast
	__magic_name__		:    List[Any]	    =     True
	__magic_name__		:    str	    =     False


	def 				lowercase__  (self : Any      )     ->			int:

					"""simple docstring"""

					super().setUp()

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

					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= os.path.join(self.tmpdirname,					VOCAB_FILES_NAMES['''vocab_file''']      )
					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= os.path.join(self.tmpdirname,					VOCAB_FILES_NAMES['''merges_file''']      )
					with open(self.vocab_file,					'''w'''      ) as fp:
									fp.write(json.dumps(__UpperCAmelCase      )      )
					with open(self.merges_file,					'''w'''      ) as fp:
									fp.write('''\n'''.join(__UpperCAmelCase      )      )


	def 				lowercase__  (self : List[str],					__UpperCAmelCase : int      )     ->			Any:

					"""simple docstring"""

					return "lower newer", "lower newer"


	def 				lowercase__  (self : str      )     ->			Dict:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Tuple      					= OpenAIGPTTokenizer(self.vocab_file,					self.merges_file      )

					SCREAMING_SNAKE_CASE  :						Dict      					= '''lower'''
					SCREAMING_SNAKE_CASE  :						str      					= ['''low''', '''er</w>''']
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= tokenizer.tokenize(__UpperCAmelCase      )
					self.assertListEqual(__UpperCAmelCase,					__UpperCAmelCase      )

					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= tokens + ['''<unk>''']
					SCREAMING_SNAKE_CASE  :						Dict      					= [14, 15, 20]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase      ),					__UpperCAmelCase      )


	def 				lowercase__  (self : List[Any],					__UpperCAmelCase : List[str]=15      )     ->			Optional[int]:

					"""simple docstring"""

					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
													SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase,					**__UpperCAmelCase      )

													# Simple input
													SCREAMING_SNAKE_CASE  :						str      					= '''This is a simple input'''
													SCREAMING_SNAKE_CASE  :						int      					= ['''This is a simple input 1''', '''This is a simple input 2''']
													SCREAMING_SNAKE_CASE  :						List[str]      					= ('''This is a simple input''', '''This is a pair''')
													SCREAMING_SNAKE_CASE  :						int      					= [
													    ('''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(__UpperCAmelCase,					tokenizer_r.encode,					__UpperCAmelCase,					max_length=__UpperCAmelCase,					padding='''max_length'''      )

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

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

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

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

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






	def 				lowercase__  (self : Dict      )     ->			List[Any]:

					"""simple docstring"""

					pass



@require_ftfy
@require_spacy
@require_tokenizers
class 	a__     (				_lowercase	):
	pass









'''simple docstring'''

from manim import *


class 	a__     (				_lowercase	):


	def 				lowercase__  (self : Optional[Any]      )     ->			str:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						List[Any]      					= Rectangle(height=0.5,					width=0.5      )
					SCREAMING_SNAKE_CASE  :						str      					= Rectangle(height=0.46,					width=0.46      ).set_stroke(width=0      )

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

					SCREAMING_SNAKE_CASE  :						Any      					= [mem.copy() for i in range(1      )]
					SCREAMING_SNAKE_CASE  :						Dict      					= VGroup(*__UpperCAmelCase      ).arrange(__UpperCAmelCase,					buff=0      )
					SCREAMING_SNAKE_CASE  :						List[str]      					= Text('''GPU''',					font_size=24      )
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= Group(__UpperCAmelCase,					__UpperCAmelCase      ).arrange(__UpperCAmelCase,					buff=0.5,					aligned_edge=__UpperCAmelCase      )
					gpu.align_to(__UpperCAmelCase,					__UpperCAmelCase      )
					gpu.set_x(gpu.get_x() - 1      )

					self.add(__UpperCAmelCase      )

					SCREAMING_SNAKE_CASE  :						List[Any]      					= [mem.copy() for i in range(6      )]
					SCREAMING_SNAKE_CASE  :						Any      					= VGroup(*__UpperCAmelCase      ).arrange(__UpperCAmelCase,					buff=0      )

					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= Text('''Model''',					font_size=24      )
					SCREAMING_SNAKE_CASE  :						Dict      					= Group(__UpperCAmelCase,					__UpperCAmelCase      ).arrange(__UpperCAmelCase,					buff=0.5,					aligned_edge=__UpperCAmelCase      )
					model.move_to([3, -1.0, 0]      )

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

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

					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= Square(side_length=2.2      )
					key.move_to([-5, 2, 0]      )

					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= 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(__UpperCAmelCase,					run_time=2.5      ),					Write(__UpperCAmelCase      ),					Write(__UpperCAmelCase      )      )

					self.add(__UpperCAmelCase      )

					SCREAMING_SNAKE_CASE  :						List[str]      					= []
					SCREAMING_SNAKE_CASE  :						List[str]      					= []
					SCREAMING_SNAKE_CASE  :						Dict      					= []
					for i, rect in enumerate(__UpperCAmelCase      ):
									SCREAMING_SNAKE_CASE  :						Optional[int]      					= Rectangle(height=0.46,					width=0.46      ).set_stroke(width=0.0      ).set_fill(__UpperCAmelCase,					opacity=0.7      )
									cpu_target.move_to(__UpperCAmelCase      )
									cpu_target.generate_target()
									SCREAMING_SNAKE_CASE  :						List[str]      					= 0.46 / 4
									SCREAMING_SNAKE_CASE  :						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=__UpperCAmelCase      )
													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=__UpperCAmelCase,					buff=0.0      )
									else:
													cpu_target.target.next_to(cpu_targs[i - 1].target,					direction=__UpperCAmelCase,					buff=0.0      )
									cpu_targs.append(__UpperCAmelCase      )

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

					self.play(*__UpperCAmelCase      )
					self.play(*__UpperCAmelCase      )

					self.wait()




