
import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin


class     lowercase (		_SCREAMING_SNAKE_CASE  ,       unittest.TestCase       ):
		__lowercase	:	Union[str, Any]     					=    XLMTokenizer
		__lowercase	:	List[str]     					=    False



		def __UpperCamelCase			(			self	)  -> str:
				"""simple docstring"""
				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				UpperCamelCase          =					[
				    '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>',
				]
				UpperCamelCase          =					dict(zip(A_    ,				range(len(A_	)	)	)	)
				UpperCamelCase          =					['l o 123', 'lo w 1456', 'e r</w> 1789', '']

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



		def __UpperCamelCase			(			self    ,				A_	)  -> Dict:
				"""simple docstring"""
				UpperCamelCase          =					'lower newer'
				UpperCamelCase          =					'lower newer'
				return input_text, output_text



		def __UpperCamelCase			(			self	)  -> Optional[int]:
				"""simple docstring"""
				UpperCamelCase          =					XLMTokenizer(self.vocab_file    ,				self.merges_file	)

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

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



		@slow
		def __UpperCamelCase			(			self	)  -> Dict:
				"""simple docstring"""
				UpperCamelCase          =					XLMTokenizer.from_pretrained('xlm-mlm-en-2048'	)

				UpperCamelCase          =					tokenizer.encode('sequence builders'    ,				add_special_tokens=A_	)
				UpperCamelCase          =					tokenizer.encode('multi-sequence build'    ,				add_special_tokens=A_	)

				UpperCamelCase          =					tokenizer.build_inputs_with_special_tokens(A_	)
				UpperCamelCase          =					tokenizer.build_inputs_with_special_tokens(A_    ,				A_	)

				assert encoded_sentence == [0] + text + [1]
				assert encoded_pair == [0] + text + [1] + text_a + [1]


import pprint

import requests

_UpperCAmelCase :			Union[str, Any]              =	"https://zenquotes.io/api"


def 				A	( )       ->  list:
		'''simple docstring'''

		return requests.get(API_ENDPOINT_URL + '/today'			).json()


def 				A	( )       ->  list:
		'''simple docstring'''

		return requests.get(API_ENDPOINT_URL + '/random'			).json()


if __name__ == "__main__":
					_UpperCAmelCase :			str              =	random_quotes()
					pprint.pprint(response)
