






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


SCREAMING_SNAKE_CASE__		:							str 				=				{
    """Acehnese Arabic""": """ace_Arab""",
    """Acehnese Latin""": """ace_Latn""",
    """Mesopotamian Arabic""": """acm_Arab""",
    """Ta'izzi-Adeni Arabic""": """acq_Arab""",
    """Tunisian Arabic""": """aeb_Arab""",
    """Afrikaans""": """afr_Latn""",
    """South Levantine Arabic""": """ajp_Arab""",
    """Akan""": """aka_Latn""",
    """Amharic""": """amh_Ethi""",
    """North Levantine Arabic""": """apc_Arab""",
    """Modern Standard Arabic""": """arb_Arab""",
    """Modern Standard Arabic Romanized""": """arb_Latn""",
    """Najdi Arabic""": """ars_Arab""",
    """Moroccan Arabic""": """ary_Arab""",
    """Egyptian Arabic""": """arz_Arab""",
    """Assamese""": """asm_Beng""",
    """Asturian""": """ast_Latn""",
    """Awadhi""": """awa_Deva""",
    """Central Aymara""": """ayr_Latn""",
    """South Azerbaijani""": """azb_Arab""",
    """North Azerbaijani""": """azj_Latn""",
    """Bashkir""": """bak_Cyrl""",
    """Bambara""": """bam_Latn""",
    """Balinese""": """ban_Latn""",
    """Belarusian""": """bel_Cyrl""",
    """Bemba""": """bem_Latn""",
    """Bengali""": """ben_Beng""",
    """Bhojpuri""": """bho_Deva""",
    """Banjar Arabic""": """bjn_Arab""",
    """Banjar Latin""": """bjn_Latn""",
    """Standard Tibetan""": """bod_Tibt""",
    """Bosnian""": """bos_Latn""",
    """Buginese""": """bug_Latn""",
    """Bulgarian""": """bul_Cyrl""",
    """Catalan""": """cat_Latn""",
    """Cebuano""": """ceb_Latn""",
    """Czech""": """ces_Latn""",
    """Chokwe""": """cjk_Latn""",
    """Central Kurdish""": """ckb_Arab""",
    """Crimean Tatar""": """crh_Latn""",
    """Welsh""": """cym_Latn""",
    """Danish""": """dan_Latn""",
    """German""": """deu_Latn""",
    """Southwestern Dinka""": """dik_Latn""",
    """Dyula""": """dyu_Latn""",
    """Dzongkha""": """dzo_Tibt""",
    """Greek""": """ell_Grek""",
    """English""": """eng_Latn""",
    """Esperanto""": """epo_Latn""",
    """Estonian""": """est_Latn""",
    """Basque""": """eus_Latn""",
    """Ewe""": """ewe_Latn""",
    """Faroese""": """fao_Latn""",
    """Fijian""": """fij_Latn""",
    """Finnish""": """fin_Latn""",
    """Fon""": """fon_Latn""",
    """French""": """fra_Latn""",
    """Friulian""": """fur_Latn""",
    """Nigerian Fulfulde""": """fuv_Latn""",
    """Scottish Gaelic""": """gla_Latn""",
    """Irish""": """gle_Latn""",
    """Galician""": """glg_Latn""",
    """Guarani""": """grn_Latn""",
    """Gujarati""": """guj_Gujr""",
    """Haitian Creole""": """hat_Latn""",
    """Hausa""": """hau_Latn""",
    """Hebrew""": """heb_Hebr""",
    """Hindi""": """hin_Deva""",
    """Chhattisgarhi""": """hne_Deva""",
    """Croatian""": """hrv_Latn""",
    """Hungarian""": """hun_Latn""",
    """Armenian""": """hye_Armn""",
    """Igbo""": """ibo_Latn""",
    """Ilocano""": """ilo_Latn""",
    """Indonesian""": """ind_Latn""",
    """Icelandic""": """isl_Latn""",
    """Italian""": """ita_Latn""",
    """Javanese""": """jav_Latn""",
    """Japanese""": """jpn_Jpan""",
    """Kabyle""": """kab_Latn""",
    """Jingpho""": """kac_Latn""",
    """Kamba""": """kam_Latn""",
    """Kannada""": """kan_Knda""",
    """Kashmiri Arabic""": """kas_Arab""",
    """Kashmiri Devanagari""": """kas_Deva""",
    """Georgian""": """kat_Geor""",
    """Central Kanuri Arabic""": """knc_Arab""",
    """Central Kanuri Latin""": """knc_Latn""",
    """Kazakh""": """kaz_Cyrl""",
    """Kabiyè""": """kbp_Latn""",
    """Kabuverdianu""": """kea_Latn""",
    """Khmer""": """khm_Khmr""",
    """Kikuyu""": """kik_Latn""",
    """Kinyarwanda""": """kin_Latn""",
    """Kyrgyz""": """kir_Cyrl""",
    """Kimbundu""": """kmb_Latn""",
    """Northern Kurdish""": """kmr_Latn""",
    """Kikongo""": """kon_Latn""",
    """Korean""": """kor_Hang""",
    """Lao""": """lao_Laoo""",
    """Ligurian""": """lij_Latn""",
    """Limburgish""": """lim_Latn""",
    """Lingala""": """lin_Latn""",
    """Lithuanian""": """lit_Latn""",
    """Lombard""": """lmo_Latn""",
    """Latgalian""": """ltg_Latn""",
    """Luxembourgish""": """ltz_Latn""",
    """Luba-Kasai""": """lua_Latn""",
    """Ganda""": """lug_Latn""",
    """Luo""": """luo_Latn""",
    """Mizo""": """lus_Latn""",
    """Standard Latvian""": """lvs_Latn""",
    """Magahi""": """mag_Deva""",
    """Maithili""": """mai_Deva""",
    """Malayalam""": """mal_Mlym""",
    """Marathi""": """mar_Deva""",
    """Minangkabau Arabic """: """min_Arab""",
    """Minangkabau Latin""": """min_Latn""",
    """Macedonian""": """mkd_Cyrl""",
    """Plateau Malagasy""": """plt_Latn""",
    """Maltese""": """mlt_Latn""",
    """Meitei Bengali""": """mni_Beng""",
    """Halh Mongolian""": """khk_Cyrl""",
    """Mossi""": """mos_Latn""",
    """Maori""": """mri_Latn""",
    """Burmese""": """mya_Mymr""",
    """Dutch""": """nld_Latn""",
    """Norwegian Nynorsk""": """nno_Latn""",
    """Norwegian Bokmål""": """nob_Latn""",
    """Nepali""": """npi_Deva""",
    """Northern Sotho""": """nso_Latn""",
    """Nuer""": """nus_Latn""",
    """Nyanja""": """nya_Latn""",
    """Occitan""": """oci_Latn""",
    """West Central Oromo""": """gaz_Latn""",
    """Odia""": """ory_Orya""",
    """Pangasinan""": """pag_Latn""",
    """Eastern Panjabi""": """pan_Guru""",
    """Papiamento""": """pap_Latn""",
    """Western Persian""": """pes_Arab""",
    """Polish""": """pol_Latn""",
    """Portuguese""": """por_Latn""",
    """Dari""": """prs_Arab""",
    """Southern Pashto""": """pbt_Arab""",
    """Ayacucho Quechua""": """quy_Latn""",
    """Romanian""": """ron_Latn""",
    """Rundi""": """run_Latn""",
    """Russian""": """rus_Cyrl""",
    """Sango""": """sag_Latn""",
    """Sanskrit""": """san_Deva""",
    """Santali""": """sat_Olck""",
    """Sicilian""": """scn_Latn""",
    """Shan""": """shn_Mymr""",
    """Sinhala""": """sin_Sinh""",
    """Slovak""": """slk_Latn""",
    """Slovenian""": """slv_Latn""",
    """Samoan""": """smo_Latn""",
    """Shona""": """sna_Latn""",
    """Sindhi""": """snd_Arab""",
    """Somali""": """som_Latn""",
    """Southern Sotho""": """sot_Latn""",
    """Spanish""": """spa_Latn""",
    """Tosk Albanian""": """als_Latn""",
    """Sardinian""": """srd_Latn""",
    """Serbian""": """srp_Cyrl""",
    """Swati""": """ssw_Latn""",
    """Sundanese""": """sun_Latn""",
    """Swedish""": """swe_Latn""",
    """Swahili""": """swh_Latn""",
    """Silesian""": """szl_Latn""",
    """Tamil""": """tam_Taml""",
    """Tatar""": """tat_Cyrl""",
    """Telugu""": """tel_Telu""",
    """Tajik""": """tgk_Cyrl""",
    """Tagalog""": """tgl_Latn""",
    """Thai""": """tha_Thai""",
    """Tigrinya""": """tir_Ethi""",
    """Tamasheq Latin""": """taq_Latn""",
    """Tamasheq Tifinagh""": """taq_Tfng""",
    """Tok Pisin""": """tpi_Latn""",
    """Tswana""": """tsn_Latn""",
    """Tsonga""": """tso_Latn""",
    """Turkmen""": """tuk_Latn""",
    """Tumbuka""": """tum_Latn""",
    """Turkish""": """tur_Latn""",
    """Twi""": """twi_Latn""",
    """Central Atlas Tamazight""": """tzm_Tfng""",
    """Uyghur""": """uig_Arab""",
    """Ukrainian""": """ukr_Cyrl""",
    """Umbundu""": """umb_Latn""",
    """Urdu""": """urd_Arab""",
    """Northern Uzbek""": """uzn_Latn""",
    """Venetian""": """vec_Latn""",
    """Vietnamese""": """vie_Latn""",
    """Waray""": """war_Latn""",
    """Wolof""": """wol_Latn""",
    """Xhosa""": """xho_Latn""",
    """Eastern Yiddish""": """ydd_Hebr""",
    """Yoruba""": """yor_Latn""",
    """Yue Chinese""": """yue_Hant""",
    """Chinese Simplified""": """zho_Hans""",
    """Chinese Traditional""": """zho_Hant""",
    """Standard Malay""": """zsm_Latn""",
    """Zulu""": """zul_Latn""",
}







class 				UpperCAmelCase_  (		__lowerCamelCase		):
     __lowerCamelCase      				=  'facebook/nllb-200-distilled-600M'
     __lowerCamelCase      				=  (
         'This is a tool that translates text from a language to another. It takes three inputs: `text`, which should '
         'be the text to translate, `src_lang`, which should be the language of the text to translate and `tgt_lang`, '
         'which should be the language for the desired ouput language. Both `src_lang` and `tgt_lang` are written in '
         'plain English, such as \'Romanian\', or \'Albanian\'. It returns the text translated in `tgt_lang`.'
     )
     __lowerCamelCase      				=  'translator'
     __lowerCamelCase      				=  AutoTokenizer
     __lowerCamelCase      				=  AutoModelForSeqaSeqLM
     __lowerCamelCase      				=  LANGUAGE_CODES

     __lowerCamelCase      				=  ['text', 'text', 'text']
     __lowerCamelCase      				=  ['text']




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						_lowerCAmelCase	,						_lowerCAmelCase		):
          if src_lang not in self.lang_to_code:
               raise ValueError(f"{src_lang} is not a supported language."		)
          if tgt_lang not in self.lang_to_code:
               raise ValueError(f"{tgt_lang} is not a supported language."		)
          UpperCAmelCase__      :  Union[str, Any]				      =			self.lang_to_code[src_lang]
          UpperCAmelCase__      :  Dict				      =			self.lang_to_code[tgt_lang]
          return self.pre_processor._build_translation_inputs(
              _lowerCAmelCase	,						return_tensors="""pt"""	,						src_lang=_lowerCAmelCase	,						tgt_lang=_lowerCAmelCase		)




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase		):
          return self.model.generate(**_lowerCAmelCase		)




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase		):
          return self.post_processor.decode(outputs[0].tolist()	,						skip_special_tokens=_lowerCAmelCase		)











"""simple docstring"""

import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    FEATURE_EXTRACTOR_MAPPING,
    AutoConfig,
    AutoFeatureExtractor,
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402


A_						:    int				=      get_tests_dir('fixtures')
A_						:    int				=      get_tests_dir('fixtures/dummy_feature_extractor_config.json')
A_						:    Dict				=      get_tests_dir('fixtures/dummy-config.json')
class     lowerCAmelCase__						(	unittest.TestCase ):


	'''simple docstring'''







	def 			_lowerCAmelCase     (      self				:       int    )						->	Tuple:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Tuple							=     0





	def 			_lowerCAmelCase     (      self				:       List[str]    )						->	Tuple:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Any							=     AutoFeatureExtractor.from_pretrained('facebook/wav2vec2-base-960h'    )
					self.assertIsInstance(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       Dict    )						->	Dict:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							str							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE    )
					self.assertIsInstance(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       Optional[Any]    )						->	Optional[int]:





					"""simple docstring"""


					with tempfile.TemporaryDirectory() as tmpdirname:
									SCREAMING_SNAKE_CASE						:							List[Any]							=     WavaVecaConfig()

									# remove feature_extractor_type to make sure config.json alone is enough to load feature processor locally
									SCREAMING_SNAKE_CASE						:							Optional[Any]							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE    ).to_dict()

									config_dict.pop('feature_extractor_type'    )
									SCREAMING_SNAKE_CASE						:							int							=     WavaVecaFeatureExtractor(**_SCREAMING_SNAKE_CASE    )

									# save in new folder
									model_config.save_pretrained(_SCREAMING_SNAKE_CASE    )
									config.save_pretrained(_SCREAMING_SNAKE_CASE    )

									SCREAMING_SNAKE_CASE						:							List[Any]							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE    )

									# make sure private variable is not incorrectly saved
									SCREAMING_SNAKE_CASE						:							Optional[int]							=     json.loads(config.to_json_string()    )
									self.assertTrue('_processor_class' not in dict_as_saved    )

					self.assertIsInstance(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )





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





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							List[Any]							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE    )
					self.assertIsInstance(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       Dict    )						->	Union[str, Any]:





					"""simple docstring"""


					with self.assertRaisesRegex(
					    _SCREAMING_SNAKE_CASE     ,       'bert-base is not a local folder and is not a valid model identifier'    ):
									SCREAMING_SNAKE_CASE						:							str							=     AutoFeatureExtractor.from_pretrained('bert-base'    )





	def 			_lowerCAmelCase     (      self				:       str    )						->	str:





					"""simple docstring"""


					with self.assertRaisesRegex(
					    _SCREAMING_SNAKE_CASE     ,       R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'    ):
									SCREAMING_SNAKE_CASE						:							List[str]							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE     ,       revision='aaaaaa'    )





	def 			_lowerCAmelCase     (      self				:       List[str]    )						->	List[Any]:





					"""simple docstring"""


					with self.assertRaisesRegex(
					    _SCREAMING_SNAKE_CASE     ,       'hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'     ,       ):
									SCREAMING_SNAKE_CASE						:							int							=     AutoFeatureExtractor.from_pretrained('hf-internal-testing/config-no-model'    )





	def 			_lowerCAmelCase     (      self				:       Optional[Any]    )						->	str:





					"""simple docstring"""


					with self.assertRaises(_SCREAMING_SNAKE_CASE    ):
									SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     AutoFeatureExtractor.from_pretrained(
									    'hf-internal-testing/test_dynamic_feature_extractor'    )
					# If remote code is disabled, we can't load this config.
					with self.assertRaises(_SCREAMING_SNAKE_CASE    ):
									SCREAMING_SNAKE_CASE						:							int							=     AutoFeatureExtractor.from_pretrained(
									    'hf-internal-testing/test_dynamic_feature_extractor'     ,       trust_remote_code=_SCREAMING_SNAKE_CASE    )

					SCREAMING_SNAKE_CASE						:							Optional[int]							=     AutoFeatureExtractor.from_pretrained(
					    'hf-internal-testing/test_dynamic_feature_extractor'     ,       trust_remote_code=_SCREAMING_SNAKE_CASE    )
					self.assertEqual(feature_extractor.__class__.__name__     ,       'NewFeatureExtractor'    )

					# Test feature extractor can be reloaded.
					with tempfile.TemporaryDirectory() as tmp_dir:
									feature_extractor.save_pretrained(_SCREAMING_SNAKE_CASE    )
									SCREAMING_SNAKE_CASE						:							List[str]							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE     ,       trust_remote_code=_SCREAMING_SNAKE_CASE    )
					self.assertEqual(reloaded_feature_extractor.__class__.__name__     ,       'NewFeatureExtractor'    )





	def 			_lowerCAmelCase     (      self				:       Any    )						->	Optional[int]:





					"""simple docstring"""


					try:
									AutoConfig.register('custom'     ,       _SCREAMING_SNAKE_CASE    )
									AutoFeatureExtractor.register(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )
									# Trying to register something existing in the Transformers library will raise an error
									with self.assertRaises(_SCREAMING_SNAKE_CASE    ):
													AutoFeatureExtractor.register(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )

									# Now that the config is registered, it can be used as any other config with the auto-API
									SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     CustomFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE    )
									with tempfile.TemporaryDirectory() as tmp_dir:
													feature_extractor.save_pretrained(_SCREAMING_SNAKE_CASE    )
													SCREAMING_SNAKE_CASE						:							Dict							=     AutoFeatureExtractor.from_pretrained(_SCREAMING_SNAKE_CASE    )
													self.assertIsInstance(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )

					finally:
									if "custom" in CONFIG_MAPPING._extra_content:
													del CONFIG_MAPPING._extra_content["custom"]
									if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
													del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]







	def 			_lowerCAmelCase     (      self				:       Tuple    )						->	str:





					"""simple docstring"""


					class     lowerCAmelCase__						(	_lowerCamelCase ):


						'''simple docstring'''







						_SCREAMING_SNAKE_CASE	:		str  						= True

					try:
									AutoConfig.register('custom'     ,       _SCREAMING_SNAKE_CASE    )
									AutoFeatureExtractor.register(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )
									# If remote code is not set, the default is to use local
									SCREAMING_SNAKE_CASE						:							str							=     AutoFeatureExtractor.from_pretrained(
									    'hf-internal-testing/test_dynamic_feature_extractor'    )
									self.assertEqual(feature_extractor.__class__.__name__     ,       'NewFeatureExtractor'    )
									self.assertTrue(feature_extractor.is_local    )

									# If remote code is disabled, we load the local one.
									SCREAMING_SNAKE_CASE						:							List[Any]							=     AutoFeatureExtractor.from_pretrained(
									    'hf-internal-testing/test_dynamic_feature_extractor'     ,       trust_remote_code=_SCREAMING_SNAKE_CASE    )
									self.assertEqual(feature_extractor.__class__.__name__     ,       'NewFeatureExtractor'    )
									self.assertTrue(feature_extractor.is_local    )

									# If remote is enabled, we load from the Hub
									SCREAMING_SNAKE_CASE						:							Optional[int]							=     AutoFeatureExtractor.from_pretrained(
									    'hf-internal-testing/test_dynamic_feature_extractor'     ,       trust_remote_code=_SCREAMING_SNAKE_CASE    )
									self.assertEqual(feature_extractor.__class__.__name__     ,       'NewFeatureExtractor'    )
									self.assertTrue(not hasattr(_SCREAMING_SNAKE_CASE     ,       'is_local'    )    )

					finally:
									if "custom" in CONFIG_MAPPING._extra_content:
													del CONFIG_MAPPING._extra_content["custom"]
									if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
													del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]





