


"""simple docstring"""


import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class 			lowerCamelCase__						(   UpperCAmelCase_							,    unittest.TestCase			):
						lowerCAmelCase       =     BioGptTokenizer
						lowerCAmelCase       =     False







						def __a						(							self   :    Any		):
								super().setUp()

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

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







						def __a						(							self   :    Dict			,			_lowercase   :    List[Any]		):
								A					       = 'lower newer'
								A					       = 'lower newer'
								return input_text, output_text







						def __a						(							self   :    List[Any]		):
								A					       = BioGptTokenizer(self.vocab_file			,			self.merges_file		)

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

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







						@slow
						def __a						(							self   :    List[str]		):
								A					       = BioGptTokenizer.from_pretrained('microsoft/biogpt'		)

								A					       = tokenizer.encode('sequence builders'			,			add_special_tokens=_lowercase		)
								A					       = tokenizer.encode('multi-sequence build'			,			add_special_tokens=_lowercase		)

								A					       = tokenizer.build_inputs_with_special_tokens(_lowercase		)
								A					       = tokenizer.build_inputs_with_special_tokens(_lowercase			,			_lowercase		)

								self.assertTrue(encoded_sentence == [2] + text		)
								self.assertTrue(encoded_pair == [2] + text + [2] + text_a		)









"""simple docstring"""


from statistics import mean, stdev







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ = 3	)      ->		list:







		"""simple docstring"""





		A					       = min(UpperCamelCase__	)
		A					       = max(UpperCamelCase__	)
		# normalize data
		return [round((x - x_min) / (x_max - x_min) ,			UpperCamelCase__	) for x in data]







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ = 3	)      ->		list:







		"""simple docstring"""





		A					       = mean(UpperCamelCase__	)
		A					       = stdev(UpperCamelCase__	)
		# standardize data
		return [round((x - mu) / (sigma) ,			UpperCamelCase__	) for x in data]





