






import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A__      :     int       =					get_tests_dir('fixtures/test_sentencepiece.model')
@require_sentencepiece
@require_tokenizers
class  _UpperCAmelCase   (			A__						,unittest.TestCase      ):

				"""simple docstring"""




				lowercase__											=			XGLMTokenizer
				lowercase__											=			XGLMTokenizerFast
				lowercase__											=			True
				lowercase__											=			True




				def 							lowercase__  (	self		:       List[str]    ):

								'''simple docstring'''
								super().setUp()

								# We have a SentencePiece fixture for testing
								lowercase__  					=     XGLMTokenizer(lowerCamelCase,    keep_accents=lowerCamelCase    )
								tokenizer.save_pretrained(self.tmpdirname    )




				def 							lowercase__  (	self		:       Optional[int]    ):

								'''simple docstring'''
								lowercase__  					=     '''<pad>'''
								lowercase__  					=     1

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase    ),    lowerCamelCase    )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase    ),    lowerCamelCase    )




				def 							lowercase__  (	self		:       Dict    ):

								'''simple docstring'''
								lowercase__  					=     list(self.get_tokenizer().get_vocab().keys()    )

								self.assertEqual(vocab_keys[0],    '''<s>'''    )
								self.assertEqual(vocab_keys[1],    '''<pad>'''    )
								self.assertEqual(len(lowerCamelCase    ),    1_008    )




				def 							lowercase__  (	self		:       Tuple    ):

								'''simple docstring'''
								self.assertEqual(self.get_tokenizer().vocab_size,    1_008    )




				def 							lowercase__  (	self		:       List[str]    ):

								'''simple docstring'''
								lowercase__  					=     XGLMTokenizer(lowerCamelCase,    keep_accents=lowerCamelCase    )

								lowercase__  					=     tokenizer.tokenize('''This is a test'''    )
								self.assertListEqual(lowerCamelCase,    ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']    )

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(lowerCamelCase    ),    [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]],    )

								lowercase__  					=     tokenizer.tokenize('''I was born in 92000, and this is falsé.'''    )
								self.assertListEqual(
								    lowerCamelCase,    [
								        SPIECE_UNDERLINE + '''I''',
								        SPIECE_UNDERLINE + '''was''',
								        SPIECE_UNDERLINE + '''b''',
								        '''or''',
								        '''n''',
								        SPIECE_UNDERLINE + '''in''',
								        SPIECE_UNDERLINE + '''''',
								        '''9''',
								        '''2''',
								        '''0''',
								        '''0''',
								        '''0''',
								        ''',''',
								        SPIECE_UNDERLINE + '''and''',
								        SPIECE_UNDERLINE + '''this''',
								        SPIECE_UNDERLINE + '''is''',
								        SPIECE_UNDERLINE + '''f''',
								        '''al''',
								        '''s''',
								        '''é''',
								        '''.''',
								    ],    )
								lowercase__  					=     tokenizer.convert_tokens_to_ids(lowerCamelCase    )
								self.assertListEqual(
								    lowerCamelCase,    [
								        value + tokenizer.fairseq_offset
								        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
								    ],    )

								lowercase__  					=     tokenizer.convert_ids_to_tokens(lowerCamelCase    )
								self.assertListEqual(
								    lowerCamelCase,    [
								        SPIECE_UNDERLINE + '''I''',
								        SPIECE_UNDERLINE + '''was''',
								        SPIECE_UNDERLINE + '''b''',
								        '''or''',
								        '''n''',
								        SPIECE_UNDERLINE + '''in''',
								        SPIECE_UNDERLINE + '''''',
								        '''<unk>''',
								        '''2''',
								        '''0''',
								        '''0''',
								        '''0''',
								        ''',''',
								        SPIECE_UNDERLINE + '''and''',
								        SPIECE_UNDERLINE + '''this''',
								        SPIECE_UNDERLINE + '''is''',
								        SPIECE_UNDERLINE + '''f''',
								        '''al''',
								        '''s''',
								        '''<unk>''',
								        '''.''',
								    ],    )




				@cached_property
				def 							lowercase__  (	self		:       List[Any]    ):

								'''simple docstring'''
								return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''    )




				def 							lowercase__  (	self		:       Optional[Any]    ):

								'''simple docstring'''
								with tempfile.NamedTemporaryFile() as f:
												shutil.copyfile(lowerCamelCase,    f.name    )
												lowercase__  					=     XGLMTokenizer(f.name,    keep_accents=lowerCamelCase    )
												lowercase__  					=     pickle.dumps(lowerCamelCase    )
								pickle.loads(lowerCamelCase    )




				def 							lowercase__  (	self		:       Tuple    ):

								'''simple docstring'''
								if not self.test_rust_tokenizer:
												return

								lowercase__  					=     self.get_tokenizer()
								lowercase__  					=     self.get_rust_tokenizer()

								lowercase__  					=     '''I was born in 92000, and this is falsé.'''

								lowercase__  					=     tokenizer.tokenize(lowerCamelCase    )
								lowercase__  					=     rust_tokenizer.tokenize(lowerCamelCase    )
								self.assertListEqual(lowerCamelCase,    lowerCamelCase    )

								lowercase__  					=     tokenizer.encode(lowerCamelCase,    add_special_tokens=lowerCamelCase    )
								lowercase__  					=     rust_tokenizer.encode(lowerCamelCase,    add_special_tokens=lowerCamelCase    )
								self.assertListEqual(lowerCamelCase,    lowerCamelCase    )

								lowercase__  					=     self.get_rust_tokenizer()
								lowercase__  					=     tokenizer.encode(lowerCamelCase    )
								lowercase__  					=     rust_tokenizer.encode(lowerCamelCase    )
								self.assertListEqual(lowerCamelCase,    lowerCamelCase    )




				@slow
				def 							lowercase__  (	self		:       Dict    ):

								'''simple docstring'''
								lowercase__  					=     '''Hello World!'''
								lowercase__  					=     [2, 31_227, 4_447, 35]

								self.assertListEqual(lowerCamelCase,    self.big_tokenizer.encode(lowerCamelCase    )    )




				@slow
				def 							lowercase__  (	self		:       str    ):

								'''simple docstring'''
								lowercase__  					=     (
								    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
								    ''' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'''
								)
								# fmt: off
								lowercase__  					=     [2, 1_018, 67, 11, 1_988, 2_617, 5_631, 278, 11, 3_407, 48, 71_630, 28_085, 4, 3_234, 157, 13, 6, 5, 6, 4, 3_526, 768, 15, 659, 57, 298, 3_983, 864, 129, 21, 6, 5, 13_675, 377, 652, 7_580, 10_341, 155, 2_817, 422, 1_666, 7, 1_674, 53, 113, 202_277, 17_892, 33, 60, 87, 4, 3_234, 157, 61, 2_667, 52_376, 19, 88, 23, 735]
								# fmt: on

								self.assertListEqual(lowerCamelCase,    self.big_tokenizer.encode(lowerCamelCase    )    )




				@slow
				def 							lowercase__  (	self		:       List[Any]    ):

								'''simple docstring'''
								# fmt: off
								lowercase__  					=     {
								    '''input_ids''': [[2, 108_825, 1_163, 15, 88_010, 473, 15_898, 157, 13_672, 1_857, 312, 8, 238_021, 1_163, 53, 13_672, 1_857, 312, 8, 53_283, 182_396, 8, 18_566, 16, 36_733, 4_101, 8, 230, 244_017, 122_553, 7, 15, 132_597, 4, 293, 12_511, 7_610, 4, 3_414, 132_597, 9, 4, 32_361, 362, 4, 734, 28_512, 32_569, 18, 4, 32_361, 26_096, 14_982, 73, 18_715, 21_433, 235_261, 15, 492, 12_427, 16, 53, 18_715, 21_433, 65_454, 15, 23_659, 563, 16, 278, 597, 2_843, 595, 7_931, 182_396, 64_186, 22, 886, 595, 132_981, 53, 25_540, 3_449, 43_982, 39_901, 5_951, 878, 330, 4, 27_694, 80_269, 312, 53, 6_517, 11_780, 611, 20_408, 5], [2, 6, 132_597, 67, 42_897, 33, 592, 8, 163_729, 25_540, 361, 136_997, 109_514, 173_230, 7, 501, 60, 102_913, 196, 5_631, 235, 63_243, 473, 6, 231_757, 74, 5_277, 7_905, 53, 3_095, 37_317, 22, 454, 183_874, 5], [2, 268, 31_298, 46_530, 6, 132_935, 43_831, 7, 597, 32, 24, 3_688, 9_865, 5]],
								    '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
								}  # noqa: E501
								# fmt: on

								self.tokenizer_integration_test_util(
								    expected_encoding=lowerCamelCase,    model_name='''facebook/xglm-564M''',    padding=lowerCamelCase,    )












def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     []
				for data in source_data:
								for i, el in enumerate(lowerCamelCase_							):
												if len(lowerCamelCase_							) < i + 1:
																data_lists.append([]							)
												data_lists[i].append(float(lowerCamelCase_							)							)
				return data_lists






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     []
				for dlist, weight in zip(lowerCamelCase_						,  lowerCamelCase_							):
								lowercase__  					=     min(lowerCamelCase_							)
								lowercase__  					=     max(lowerCamelCase_							)

								lowercase__  					=     []
								# for weight 0 score is 1 - actual score
								if weight == 0:
												for item in dlist:
																try:
																				score.append(1 - ((item - mind) / (maxd - mind))							)
																except ZeroDivisionError:
																				score.append(1							)

								elif weight == 1:
												for item in dlist:
																try:
																				score.append((item - mind) / (maxd - mind)							)
																except ZeroDivisionError:
																				score.append(0							)

        # weight not 0 or 1
								else:
												lowercase__  					=     F"""Invalid weight of {weight:f} provided"""
												raise ValueError(lowerCamelCase_							)

								score_lists.append(lowerCamelCase_							)

				return score_lists






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     [0 for i in range(len(score_lists[0]							)							)]

				for slist in score_lists:
								for j, ele in enumerate(lowerCamelCase_							):
												lowercase__  					=     final_scores[j] + ele

				return final_scores






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     get_data(lowerCamelCase_							)
				lowercase__  					=     calculate_each_score(lowerCamelCase_						,  lowerCamelCase_							)
				lowercase__  					=     generate_final_scores(lowerCamelCase_							)

				# append scores to source data
				for i, ele in enumerate(lowerCamelCase_							):
								source_data[i].append(lowerCamelCase_							)

				return source_data




