


import unittest

from datasets import load_dataset

from transformers.pipelines import pipeline
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_torch, slow



@is_pipeline_test
@require_torch
class 							A   (	unittest.TestCase							):
     '''simple docstring'''






     @require_torch
     def   lowerCamelCase__					(self   :						str		)						->       int:




       """simple docstring"""


       lowercase__					      =		pipeline(
           task="""zero-shot-audio-classification"""				, model="""hf-internal-testing/tiny-clap-htsat-unfused"""		)
       lowercase__					      =		load_dataset("""ashraq/esc50"""		)
       lowercase__					      =		dataset["""train"""]["""audio"""][-1]["""array"""]
       lowercase__					      =		audio_classifier(_UpperCAmelCase				, candidate_labels=["""Sound of a dog""", """Sound of vaccum cleaner"""]		)
       self.assertEqual(
           nested_simplify(_UpperCAmelCase		)				, [{"""score""": 0.501, """label""": """Sound of a dog"""}, {"""score""": 0.499, """label""": """Sound of vaccum cleaner"""}]				, )

     @unittest.skip("""No models are available in TF"""		)
     def   lowerCamelCase__					(self   :						Dict		)						->       List[Any]:




       """simple docstring"""


       pass

     @slow
     @require_torch
     def   lowerCamelCase__					(self   :						Union[str, Any]		)						->       Any:




       """simple docstring"""


       lowercase__					      =		pipeline(
           task="""zero-shot-audio-classification"""				, model="""laion/clap-htsat-unfused"""				, )
       # This is an audio of a dog
       lowercase__					      =		load_dataset("""ashraq/esc50"""		)
       lowercase__					      =		dataset["""train"""]["""audio"""][-1]["""array"""]
       lowercase__					      =		audio_classifier(_UpperCAmelCase				, candidate_labels=["""Sound of a dog""", """Sound of vaccum cleaner"""]		)

       self.assertEqual(
           nested_simplify(_UpperCAmelCase		)				, [
               {"""score""": 0.999, """label""": """Sound of a dog"""},
               {"""score""": 0.001, """label""": """Sound of vaccum cleaner"""},
           ]				, )

       lowercase__					      =		audio_classifier([audio] * 5				, candidate_labels=["""Sound of a dog""", """Sound of vaccum cleaner"""]		)
       self.assertEqual(
           nested_simplify(_UpperCAmelCase		)				, [
               [
                   {"""score""": 0.999, """label""": """Sound of a dog"""},
                   {"""score""": 0.001, """label""": """Sound of vaccum cleaner"""},
               ],
           ]
           * 5				, )
       lowercase__					      =		audio_classifier(
           [audio] * 5				, candidate_labels=["""Sound of a dog""", """Sound of vaccum cleaner"""]				, batch_size=5		)
       self.assertEqual(
           nested_simplify(_UpperCAmelCase		)				, [
               [
                   {"""score""": 0.999, """label""": """Sound of a dog"""},
                   {"""score""": 0.001, """label""": """Sound of vaccum cleaner"""},
               ],
           ]
           * 5				, )


     @unittest.skip("""No models are available in TF"""		)
     def   lowerCamelCase__					(self   :						int		)						->       List[str]:




       """simple docstring"""


       pass





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   (	UpperCAmelCase__			,  unittest.TestCase							):
					'''simple docstring'''






					A__      =			OpenAIGPTTokenizer
					A__      =			OpenAIGPTTokenizerFast
					A__      =			True
					A__      =			False

					def   lowerCamelCase__					(self   :						List[str]		)						->       int:




							"""simple docstring"""


							super().setUp()

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

							lowercase__					      =		os.path.join(self.tmpdirname				, VOCAB_FILES_NAMES["""vocab_file"""]		)
							lowercase__					      =		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   lowerCamelCase__					(self   :						Dict				, _UpperCAmelCase   :						List[Any]		)						->       Any:




							"""simple docstring"""


							return "lower newer", "lower newer"

					def   lowerCamelCase__					(self   :						Dict		)						->       Tuple:




							"""simple docstring"""


							lowercase__					      =		OpenAIGPTTokenizer(self.vocab_file				, self.merges_file		)

							lowercase__					      =		"""lower"""
							lowercase__					      =		["""low""", """er</w>"""]
							lowercase__					      =		tokenizer.tokenize(_UpperCAmelCase		)
							self.assertListEqual(_UpperCAmelCase				, _UpperCAmelCase		)

							lowercase__					      =		tokens + ["""<unk>"""]
							lowercase__					      =		[14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)				, _UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						Optional[int]				, _UpperCAmelCase   :						Union[str, Any]=15		)						->       Optional[int]:




							"""simple docstring"""


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
											lowercase__					      =		self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase				, **_UpperCAmelCase		)

											# Simple input
											lowercase__					      =		"""This is a simple input"""
											lowercase__					      =		["""This is a simple input 1""", """This is a simple input 2"""]
											lowercase__					      =		("""This is a simple input""", """This is a pair""")
											lowercase__					      =		[
											    ("""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   lowerCamelCase__					(self   :						Tuple		)						->       Any:




							"""simple docstring"""


							pass






@require_ftfy
@require_spacy
@require_tokenizers
class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					pass

