
"""simple docstring"""

import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list
@require_torchaudio
@require_sentencepiece
class      _UpperCAmelCase							(		unittest.TestCase							):




      def     a_      (							self							)						->					List[Any]:
          UpperCAmelCase									=					'laion/clap-htsat-unfused'
          UpperCAmelCase									=					tempfile.mkdtemp()




      def     a_      (							self   ,       **lowercase_							)						->					List[Any]:
          return RobertaTokenizer.from_pretrained(self.checkpoint   ,       **lowercase_							)




      def     a_      (							self   ,       **lowercase_							)						->					Optional[int]:
          return ClapFeatureExtractor.from_pretrained(self.checkpoint   ,       **lowercase_							)




      def     a_      (							self							)						->					Optional[int]:
          shutil.rmtree(self.tmpdirname							)




      def     a_      (							self							)						->					str:
          UpperCAmelCase									=					self.get_tokenizer()
          UpperCAmelCase									=					self.get_feature_extractor()

          UpperCAmelCase									=					ClapProcessor(tokenizer=lowercase_   ,       feature_extractor=lowercase_							)

          processor.save_pretrained(self.tmpdirname							)
          UpperCAmelCase									=					ClapProcessor.from_pretrained(self.tmpdirname							)

          self.assertEqual(processor.tokenizer.get_vocab()   ,       tokenizer.get_vocab()							)
          self.assertIsInstance(processor.tokenizer   ,       lowercase_							)

          self.assertEqual(processor.feature_extractor.to_json_string()   ,       feature_extractor.to_json_string()							)
          self.assertIsInstance(processor.feature_extractor   ,       lowercase_							)




      def     a_      (							self							)						->					int:
          UpperCAmelCase									=					ClapProcessor(tokenizer=self.get_tokenizer()   ,       feature_extractor=self.get_feature_extractor()							)
          processor.save_pretrained(self.tmpdirname							)

          UpperCAmelCase									=					self.get_tokenizer(bos_token='(BOS)'   ,       eos_token='(EOS)'							)
          UpperCAmelCase									=					self.get_feature_extractor(do_normalize=lowercase_   ,       padding_value=1.0							)

          UpperCAmelCase									=					ClapProcessor.from_pretrained(
              self.tmpdirname   ,       bos_token='(BOS)'   ,       eos_token='(EOS)'   ,       do_normalize=lowercase_   ,       padding_value=1.0							)

          self.assertEqual(processor.tokenizer.get_vocab()   ,       tokenizer_add_kwargs.get_vocab()							)
          self.assertIsInstance(processor.tokenizer   ,       lowercase_							)

          self.assertEqual(processor.feature_extractor.to_json_string()   ,       feature_extractor_add_kwargs.to_json_string()							)
          self.assertIsInstance(processor.feature_extractor   ,       lowercase_							)




      def     a_      (							self							)						->					int:
          UpperCAmelCase									=					self.get_feature_extractor()
          UpperCAmelCase									=					self.get_tokenizer()

          UpperCAmelCase									=					ClapProcessor(tokenizer=lowercase_   ,       feature_extractor=lowercase_							)

          UpperCAmelCase									=					floats_list((3, 1_0_0_0)							)

          UpperCAmelCase									=					feature_extractor(lowercase_   ,       return_tensors='np'							)
          UpperCAmelCase									=					processor(audios=lowercase_   ,       return_tensors='np'							)

          for key in input_feat_extract.keys():
              self.assertAlmostEqual(input_feat_extract[key].sum()   ,       input_processor[key].sum()   ,       delta=1E-2							)




      def     a_      (							self							)						->					Any:
          UpperCAmelCase									=					self.get_feature_extractor()
          UpperCAmelCase									=					self.get_tokenizer()

          UpperCAmelCase									=					ClapProcessor(tokenizer=lowercase_   ,       feature_extractor=lowercase_							)

          UpperCAmelCase									=					'This is a test string'

          UpperCAmelCase									=					processor(text=lowercase_							)

          UpperCAmelCase									=					tokenizer(lowercase_							)

          for key in encoded_tok.keys():
              self.assertListEqual(encoded_tok[key]   ,       encoded_processor[key]							)




      def     a_      (							self							)						->					List[str]:
          UpperCAmelCase									=					self.get_feature_extractor()
          UpperCAmelCase									=					self.get_tokenizer()

          UpperCAmelCase									=					ClapProcessor(tokenizer=lowercase_   ,       feature_extractor=lowercase_							)

          UpperCAmelCase									=					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          UpperCAmelCase									=					processor.batch_decode(lowercase_							)
          UpperCAmelCase									=					tokenizer.batch_decode(lowercase_							)

          self.assertListEqual(lowercase_   ,       lowercase_							)




      def     a_      (							self							)						->					Dict:
          UpperCAmelCase									=					self.get_feature_extractor()
          UpperCAmelCase									=					self.get_tokenizer()

          UpperCAmelCase									=					ClapProcessor(tokenizer=lowercase_   ,       feature_extractor=lowercase_							)

          self.assertListEqual(
              processor.model_input_names[2:]   ,       feature_extractor.model_input_names   ,       msg='`processor` and `feature_extractor` model input names do not match'   ,       )





"""simple docstring"""

import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_     ,			unittest.TestCase							):
      __SCREAMING_SNAKE_CASE   :							str							      =	CTRLTokenizer
      __SCREAMING_SNAKE_CASE   :							int							      =	False
      __SCREAMING_SNAKE_CASE   :							Optional[Any]							      =	False




      def     a_      (							self							)						->					Dict:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          UpperCAmelCase									=					['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
          UpperCAmelCase									=					dict(zip(lowercase_   ,       range(len(lowercase_							)							)							)							)
          UpperCAmelCase									=					['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
          UpperCAmelCase									=					{'unk_token': '<unk>'}

          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'   ,       encoding='utf-8'							) as fp:
              fp.write(json.dumps(lowercase_							) + '\n'							)
          with open(self.merges_file   ,       'w'   ,       encoding='utf-8'							) as fp:
              fp.write('\n'.join(lowercase_							)							)




      def     a_      (							self   ,       **lowercase_							)						->					Tuple:
          kwargs.update(self.special_tokens_map							)
          return CTRLTokenizer.from_pretrained(self.tmpdirname   ,       **lowercase_							)




      def     a_      (							self   ,       lowercase_							)						->					Tuple:
          UpperCAmelCase									=					'adapt react readapt apt'
          UpperCAmelCase									=					'adapt react readapt apt'
          return input_text, output_text




      def     a_      (							self							)						->					Union[str, Any]:
          UpperCAmelCase									=					CTRLTokenizer(self.vocab_file   ,       self.merges_file   ,       **self.special_tokens_map							)
          UpperCAmelCase									=					'adapt react readapt apt'
          UpperCAmelCase									=					'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
          UpperCAmelCase									=					tokenizer.tokenize(lowercase_							)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          UpperCAmelCase									=					tokens + [tokenizer.unk_token]

          UpperCAmelCase									=					[0, 1, 2, 4, 5, 1, 0, 3, 6]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_							)   ,       lowercase_							)



