
import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class    __A(					UpperCAmelCase  ,		unittest.TestCase							):
					SCREAMING_SNAKE_CASE           =     MobileBertTokenizer
					SCREAMING_SNAKE_CASE           =     MobileBertTokenizerFast
					SCREAMING_SNAKE_CASE           =     True
					SCREAMING_SNAKE_CASE           =     True
					SCREAMING_SNAKE_CASE           =     filter_non_english
					SCREAMING_SNAKE_CASE           =     '''google/mobilebert-uncased'''

					def  lowercase__   (						self       :  List[str] ):
												super().setUp()

												lowerCamelCase_					=       [
												    """[UNK]""",
												    """[CLS]""",
												    """[SEP]""",
												    """[PAD]""",
												    """[MASK]""",
												    """want""",
												    """##want""",
												    """##ed""",
												    """wa""",
												    """un""",
												    """runn""",
												    """##ing""",
												    """,""",
												    """low""",
												    """lowest""",
												]
												lowerCamelCase_					=       os.path.join(self.tmpdirname ,       VOCAB_FILES_NAMES["""vocab_file"""] )
												with open(self.vocab_file ,       """w""" ,       encoding="""utf-8""" ) as vocab_writer:
																			vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens] ) )

												lowerCamelCase_					=       [
												    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
												    for tokenizer_def in self.tokenizers_list
												]

					def  lowercase__   (						self       :  Union[str, Any] ,       __UpperCamelCase       :  List[str] ):
												lowerCamelCase_					=       """UNwant\u00E9d,running"""
												lowerCamelCase_					=       """unwanted, running"""
												return input_text, output_text

					def  lowercase__   (						self       :  Any ):
												lowerCamelCase_					=       self.tokenizer_class(self.vocab_file )

												lowerCamelCase_					=       tokenizer.tokenize("""UNwant\u00E9d,running""" )
												self.assertListEqual(__UpperCamelCase ,       ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""] )
												self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase ) ,       [9, 6, 7, 1_2, 1_0, 1_1] )

					def  lowercase__   (						self       :  Optional[Any] ):
												if not self.test_rust_tokenizer:
																			return

												lowerCamelCase_					=       self.get_tokenizer()
												lowerCamelCase_					=       self.get_rust_tokenizer()

												lowerCamelCase_					=       """UNwant\u00E9d,running"""

												lowerCamelCase_					=       tokenizer.tokenize(__UpperCamelCase )
												lowerCamelCase_					=       rust_tokenizer.tokenize(__UpperCamelCase )
												self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

												lowerCamelCase_					=       tokenizer.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )
												lowerCamelCase_					=       rust_tokenizer.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )
												self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

												lowerCamelCase_					=       self.get_rust_tokenizer()
												lowerCamelCase_					=       tokenizer.encode(__UpperCamelCase )
												lowerCamelCase_					=       rust_tokenizer.encode(__UpperCamelCase )
												self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

												# With lower casing
												lowerCamelCase_					=       self.get_tokenizer(do_lower_case=__UpperCamelCase )
												lowerCamelCase_					=       self.get_rust_tokenizer(do_lower_case=__UpperCamelCase )

												lowerCamelCase_					=       """UNwant\u00E9d,running"""

												lowerCamelCase_					=       tokenizer.tokenize(__UpperCamelCase )
												lowerCamelCase_					=       rust_tokenizer.tokenize(__UpperCamelCase )
												self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

												lowerCamelCase_					=       tokenizer.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )
												lowerCamelCase_					=       rust_tokenizer.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )
												self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

												lowerCamelCase_					=       self.get_rust_tokenizer()
												lowerCamelCase_					=       tokenizer.encode(__UpperCamelCase )
												lowerCamelCase_					=       rust_tokenizer.encode(__UpperCamelCase )
												self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

					def  lowercase__   (						self       :  int ):
												lowerCamelCase_					=       BasicTokenizer()

												self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz""" ) ,       ["""ah""", """\u535A""", """\u63A8""", """zz"""] )

					def  lowercase__   (						self       :  int ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ ) ,       ["""hello""", """!""", """how""", """are""", """you""", """?"""] )
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" ) ,       ["""hello"""] )

					def  lowercase__   (						self       :  List[str] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase ,       strip_accents=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ ) ,       ["""hällo""", """!""", """how""", """are""", """you""", """?"""] )
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" ) ,       ["""h\u00E9llo"""] )

					def  lowercase__   (						self       :  List[Any] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase ,       strip_accents=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ ) ,       ["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" ) ,       ["""hello"""] )

					def  lowercase__   (						self       :  Optional[int] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ ) ,       ["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" ) ,       ["""hello"""] )

					def  lowercase__   (						self       :  List[str] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ ) ,       ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )

					def  lowercase__   (						self       :  Optional[Any] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase ,       strip_accents=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ ) ,       ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )

					def  lowercase__   (						self       :  List[Any] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase ,       strip_accents=__UpperCamelCase )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ ) ,       ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )

					def  lowercase__   (						self       :  Optional[Any] ):
												lowerCamelCase_					=       BasicTokenizer(do_lower_case=__UpperCamelCase ,       never_split=["""[UNK]"""] )

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]""" ) ,       ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""] )

					def  lowercase__   (						self       :  Optional[Any] ):
												lowerCamelCase_					=       ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

												lowerCamelCase_					=       {}
												for i, token in enumerate(__UpperCamelCase ):
																			lowerCamelCase_					=       i
												lowerCamelCase_					=       WordpieceTokenizer(vocab=__UpperCamelCase ,       unk_token="""[UNK]""" )

												self.assertListEqual(tokenizer.tokenize("""""" ) ,       [] )

												self.assertListEqual(tokenizer.tokenize("""unwanted running""" ) ,       ["""un""", """##want""", """##ed""", """runn""", """##ing"""] )

												self.assertListEqual(tokenizer.tokenize("""unwantedX running""" ) ,       ["""[UNK]""", """runn""", """##ing"""] )

					def  lowercase__   (						self       :  int ):
												self.assertTrue(_is_whitespace(""" """ ) )
												self.assertTrue(_is_whitespace("""\t""" ) )
												self.assertTrue(_is_whitespace("""\r""" ) )
												self.assertTrue(_is_whitespace("""\n""" ) )
												self.assertTrue(_is_whitespace("""\u00A0""" ) )

												self.assertFalse(_is_whitespace("""A""" ) )
												self.assertFalse(_is_whitespace("""-""" ) )

					def  lowercase__   (						self       :  Optional[Any] ):
												self.assertTrue(_is_control("""\u0005""" ) )

												self.assertFalse(_is_control("""A""" ) )
												self.assertFalse(_is_control(""" """ ) )
												self.assertFalse(_is_control("""\t""" ) )
												self.assertFalse(_is_control("""\r""" ) )

					def  lowercase__   (						self       :  Optional[int] ):
												self.assertTrue(_is_punctuation("""-""" ) )
												self.assertTrue(_is_punctuation("""$""" ) )
												self.assertTrue(_is_punctuation("""`""" ) )
												self.assertTrue(_is_punctuation(""".""" ) )

												self.assertFalse(_is_punctuation("""A""" ) )
												self.assertFalse(_is_punctuation(""" """ ) )

					def  lowercase__   (						self       :  Dict ):
												lowerCamelCase_					=       self.get_tokenizer()
												lowerCamelCase_					=       self.get_rust_tokenizer()

												# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
												self.assertListEqual([tokenizer.tokenize(__UpperCamelCase ) for t in ["""Test""", """\xad""", """test"""]] ,       [["""[UNK]"""], [], ["""[UNK]"""]] )

												self.assertListEqual(
												    [rust_tokenizer.tokenize(__UpperCamelCase ) for t in ["""Test""", """\xad""", """test"""]] ,       [["""[UNK]"""], [], ["""[UNK]"""]] )

					@slow
					def  lowercase__   (						self       :  Optional[int] ):
												lowerCamelCase_					=       self.tokenizer_class.from_pretrained("""google/mobilebert-uncased""" )

												lowerCamelCase_					=       tokenizer.encode("""sequence builders""" ,       add_special_tokens=__UpperCamelCase )
												lowerCamelCase_					=       tokenizer.encode("""multi-sequence build""" ,       add_special_tokens=__UpperCamelCase )

												lowerCamelCase_					=       tokenizer.build_inputs_with_special_tokens(__UpperCamelCase )
												lowerCamelCase_					=       tokenizer.build_inputs_with_special_tokens(__UpperCamelCase ,       __UpperCamelCase )

												assert encoded_sentence == [1_0_1] + text + [1_0_2]
												assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]

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

																										lowerCamelCase_					=       F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																										lowerCamelCase_					=       tokenizer_r.encode_plus(
																										    __UpperCamelCase ,       return_attention_mask=__UpperCamelCase ,       return_token_type_ids=__UpperCamelCase ,       return_offsets_mapping=__UpperCamelCase ,       add_special_tokens=__UpperCamelCase ,       )

																										lowerCamelCase_					=       tokenizer_r.do_lower_case if hasattr(__UpperCamelCase ,       """do_lower_case""" ) else False
																										lowerCamelCase_					=       (
																										    [
																										        ((0, 0), tokenizer_r.cls_token),
																										        ((0, 1), """A"""),
																										        ((1, 2), ""","""),
																										        ((3, 5), """na"""),
																										        ((5, 6), """##ï"""),
																										        ((6, 8), """##ve"""),
																										        ((9, 1_5), tokenizer_r.mask_token),
																										        ((1_6, 2_1), """Allen"""),
																										        ((2_1, 2_3), """##NL"""),
																										        ((2_3, 2_4), """##P"""),
																										        ((2_5, 3_3), """sentence"""),
																										        ((3_3, 3_4), """."""),
																										        ((0, 0), tokenizer_r.sep_token),
																										    ]
																										    if not do_lower_case
																										    else [
																										        ((0, 0), tokenizer_r.cls_token),
																										        ((0, 1), """a"""),
																										        ((1, 2), ""","""),
																										        ((3, 8), """naive"""),
																										        ((9, 1_5), tokenizer_r.mask_token),
																										        ((1_6, 2_1), """allen"""),
																										        ((2_1, 2_3), """##nl"""),
																										        ((2_3, 2_4), """##p"""),
																										        ((2_5, 3_3), """sentence"""),
																										        ((3_3, 3_4), """."""),
																										        ((0, 0), tokenizer_r.sep_token),
																										    ]
																										)

																										self.assertEqual(
																										    [e[1] for e in expected_results] ,       tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""] ) )
																										self.assertEqual([e[0] for e in expected_results] ,       tokens["""offset_mapping"""] )



					def  lowercase__   (						self       :  int ):
												lowerCamelCase_					=       ["""的""", """人""", """有"""]
												lowerCamelCase_					=       """""".join(__UpperCamelCase )
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																			with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
																										lowerCamelCase_					=       True
																										lowerCamelCase_					=       self.tokenizer_class.from_pretrained(__UpperCamelCase ,       **__UpperCamelCase )
																										lowerCamelCase_					=       self.rust_tokenizer_class.from_pretrained(__UpperCamelCase ,       **__UpperCamelCase )

																										lowerCamelCase_					=       tokenizer_p.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )
																										lowerCamelCase_					=       tokenizer_r.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )

																										lowerCamelCase_					=       tokenizer_r.convert_ids_to_tokens(__UpperCamelCase )
																										lowerCamelCase_					=       tokenizer_p.convert_ids_to_tokens(__UpperCamelCase )

																										# it is expected that each Chinese character is not preceded by "##"
																										self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )
																										self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )

																										lowerCamelCase_					=       False
																										lowerCamelCase_					=       self.rust_tokenizer_class.from_pretrained(__UpperCamelCase ,       **__UpperCamelCase )
																										lowerCamelCase_					=       self.tokenizer_class.from_pretrained(__UpperCamelCase ,       **__UpperCamelCase )

																										lowerCamelCase_					=       tokenizer_r.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )
																										lowerCamelCase_					=       tokenizer_p.encode(__UpperCamelCase ,       add_special_tokens=__UpperCamelCase )

																										lowerCamelCase_					=       tokenizer_r.convert_ids_to_tokens(__UpperCamelCase )
																										lowerCamelCase_					=       tokenizer_p.convert_ids_to_tokens(__UpperCamelCase )

																										# it is expected that only the first Chinese character is not preceded by "##".
																										lowerCamelCase_					=       [
																										    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(__UpperCamelCase )
																										]
																										self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )
																										self.assertListEqual(__UpperCamelCase ,       __UpperCamelCase )







import torch

from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device

from .test_schedulers import SchedulerCommonTest





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     (KDPMaDiscreteScheduler,)
					SCREAMING_SNAKE_CASE           =     1_0

					def  lowercase__   (						self       :  str ,       **__UpperCamelCase       :  Optional[int] ):
												lowerCamelCase_					=       {
												    """num_train_timesteps""": 1_1_0_0,
												    """beta_start""": 0.0001,
												    """beta_end""": 0.02,
												    """beta_schedule""": """linear""",
												}

												config.update(**__UpperCamelCase )
												return config

					def  lowercase__   (						self       :  Optional[Any] ):
												for timesteps in [1_0, 5_0, 1_0_0, 1_0_0_0]:
																			self.check_over_configs(num_train_timesteps=__UpperCamelCase )

					def  lowercase__   (						self       :  Dict ):
												for beta_start, beta_end in zip([0.00001, 0.0001, 0.001] ,       [0.0002, 0.002, 0.02] ):
																			self.check_over_configs(beta_start=__UpperCamelCase ,       beta_end=__UpperCamelCase )

					def  lowercase__   (						self       :  Union[str, Any] ):
												for schedule in ["linear", "scaled_linear"]:
																			self.check_over_configs(beta_schedule=__UpperCamelCase )

					def  lowercase__   (						self       :  List[str] ):
												for prediction_type in ["epsilon", "v_prediction"]:
																			self.check_over_configs(prediction_type=__UpperCamelCase )

					def  lowercase__   (						self       :  Optional[int] ):
												lowerCamelCase_					=       self.scheduler_classes[0]
												lowerCamelCase_					=       self.get_scheduler_config(prediction_type="""v_prediction""" )
												lowerCamelCase_					=       scheduler_class(**__UpperCamelCase )

												scheduler.set_timesteps(self.num_inference_steps )

												lowerCamelCase_					=       self.dummy_model()
												lowerCamelCase_					=       self.dummy_sample_deter * scheduler.init_noise_sigma
												lowerCamelCase_					=       sample.to(__UpperCamelCase )

												for i, t in enumerate(scheduler.timesteps ):
																			lowerCamelCase_					=       scheduler.scale_model_input(__UpperCamelCase ,       __UpperCamelCase )

																			lowerCamelCase_					=       model(__UpperCamelCase ,       __UpperCamelCase )

																			lowerCamelCase_					=       scheduler.step(__UpperCamelCase ,       __UpperCamelCase ,       __UpperCamelCase )
																			lowerCamelCase_					=       output.prev_sample

												lowerCamelCase_					=       torch.sum(torch.abs(__UpperCamelCase ) )
												lowerCamelCase_					=       torch.mean(torch.abs(__UpperCamelCase ) )

												if torch_device in ["cpu", "mps"]:
																			assert abs(result_sum.item() - 4.6934E-07 ) < 1E-2
																			assert abs(result_mean.item() - 6.1112E-10 ) < 1E-3
												else:
																			# CUDA
																			assert abs(result_sum.item() - 4.693_4286_5017_0972E-07 ) < 1E-2
																			assert abs(result_mean.item() - 0.0002 ) < 1E-3

					def  lowercase__   (						self       :  List[Any] ):
												if torch_device == "mps":
																			return
												lowerCamelCase_					=       self.scheduler_classes[0]
												lowerCamelCase_					=       self.get_scheduler_config()
												lowerCamelCase_					=       scheduler_class(**__UpperCamelCase )

												scheduler.set_timesteps(self.num_inference_steps )

												lowerCamelCase_					=       self.dummy_model()
												lowerCamelCase_					=       self.dummy_sample_deter * scheduler.init_noise_sigma
												lowerCamelCase_					=       sample.to(__UpperCamelCase )

												for i, t in enumerate(scheduler.timesteps ):
																			lowerCamelCase_					=       scheduler.scale_model_input(__UpperCamelCase ,       __UpperCamelCase )

																			lowerCamelCase_					=       model(__UpperCamelCase ,       __UpperCamelCase )

																			lowerCamelCase_					=       scheduler.step(__UpperCamelCase ,       __UpperCamelCase ,       __UpperCamelCase )
																			lowerCamelCase_					=       output.prev_sample

												lowerCamelCase_					=       torch.sum(torch.abs(__UpperCamelCase ) )
												lowerCamelCase_					=       torch.mean(torch.abs(__UpperCamelCase ) )

												if torch_device in ["cpu", "mps"]:
																			assert abs(result_sum.item() - 20.4125 ) < 1E-2
																			assert abs(result_mean.item() - 0.0266 ) < 1E-3
												else:
																			# CUDA
																			assert abs(result_sum.item() - 20.4125 ) < 1E-2
																			assert abs(result_mean.item() - 0.0266 ) < 1E-3



					def  lowercase__   (						self       :  Optional[int] ):
												if torch_device == "mps":
																			return
												lowerCamelCase_					=       self.scheduler_classes[0]
												lowerCamelCase_					=       self.get_scheduler_config()
												lowerCamelCase_					=       scheduler_class(**__UpperCamelCase )

												scheduler.set_timesteps(self.num_inference_steps ,       device=__UpperCamelCase )

												lowerCamelCase_					=       self.dummy_model()
												lowerCamelCase_					=       self.dummy_sample_deter.to(__UpperCamelCase ) * scheduler.init_noise_sigma

												for t in scheduler.timesteps:
																			lowerCamelCase_					=       scheduler.scale_model_input(__UpperCamelCase ,       __UpperCamelCase )

																			lowerCamelCase_					=       model(__UpperCamelCase ,       __UpperCamelCase )

																			lowerCamelCase_					=       scheduler.step(__UpperCamelCase ,       __UpperCamelCase ,       __UpperCamelCase )
																			lowerCamelCase_					=       output.prev_sample

												lowerCamelCase_					=       torch.sum(torch.abs(__UpperCamelCase ) )
												lowerCamelCase_					=       torch.mean(torch.abs(__UpperCamelCase ) )

												if str(__UpperCamelCase ).startswith("""cpu""" ):
																			# The following sum varies between 148 and 156 on mps. Why?
																			assert abs(result_sum.item() - 20.4125 ) < 1E-2
																			assert abs(result_mean.item() - 0.0266 ) < 1E-3
												else:
																			# CUDA
																			assert abs(result_sum.item() - 20.4125 ) < 1E-2
																			assert abs(result_mean.item() - 0.0266 ) < 1E-3





