


'''simple docstring'''

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

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
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


lowerCAmelCase      :Union[str, Any]    	=			get_tests_dir('''fixtures/dummy-config.json''')
class _lowerCamelCase       (						unittest.TestCase							):



		'''simple docstring'''







		def    __lowerCAmelCase		(					self		:						List[Any]			)  -> Dict:
			__magic_name__       :    Union[str, Any]     	=     0







		def    __lowerCAmelCase		(					self		:						str			)  -> int:
			self.assertIsNotNone(transformers.models.auto.__spec__			)
			self.assertIsNotNone(importlib.util.find_spec('transformers.models.auto'			)			)







		def    __lowerCAmelCase		(					self		:						Optional[Any]			)  -> List[str]:
			__magic_name__       :    List[str]     	=     AutoConfig.from_pretrained('bert-base-uncased'			)
			self.assertIsInstance(lowercase_  ,     lowercase_			)







		def    __lowerCAmelCase		(					self		:						Tuple			)  -> List[Any]:
			__magic_name__       :    int     	=     AutoConfig.from_pretrained(lowercase_			)
			self.assertIsInstance(lowercase_  ,     lowercase_			)







		def    __lowerCAmelCase		(					self		:						Dict			)  -> Union[str, Any]:
			__magic_name__       :    int     	=     AutoConfig.from_pretrained(lowercase_			)
			self.assertIsInstance(lowercase_  ,     lowercase_			)







		def    __lowerCAmelCase		(					self		:						Tuple			)  -> List[str]:
			__magic_name__       :    Optional[int]     	=     AutoConfig.for_model('roberta'			)
			self.assertIsInstance(lowercase_  ,     lowercase_			)







		def    __lowerCAmelCase		(					self		:						Tuple			)  -> str:




			with tempfile.TemporaryDirectory() as tmp_dir:
				# This model name contains bert and roberta, but roberta ends up being picked.
				__magic_name__       :    List[str]     	=     os.path.join(lowercase_  ,     'fake-roberta'			)
				os.makedirs(lowercase_  ,     exist_ok=lowercase_			)
				with open(os.path.join(lowercase_  ,     'config.json'			)  ,     'w'			) as f:
					f.write(json.dumps({}			)			)
				__magic_name__       :    int     	=     AutoConfig.from_pretrained(lowercase_			)
				self.assertEqual(type(lowercase_			)  ,     lowercase_			)







		def    __lowerCAmelCase		(					self		:						str			)  -> List[str]:




			try:
				AutoConfig.register('custom'  ,     lowercase_			)
				# Wrong model type will raise an error
				with self.assertRaises(lowercase_			):
					AutoConfig.register('model'  ,     lowercase_			)
				# Trying to register something existing in the Transformers library will raise an error
				with self.assertRaises(lowercase_			):
					AutoConfig.register('bert'  ,     lowercase_			)

				# Now that the config is registered, it can be used as any other config with the auto-API
				__magic_name__       :    Union[str, Any]     	=     CustomConfig()
				with tempfile.TemporaryDirectory() as tmp_dir:
					config.save_pretrained(lowercase_			)
					__magic_name__       :    Any     	=     AutoConfig.from_pretrained(lowercase_			)
					self.assertIsInstance(lowercase_  ,     lowercase_			)

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







		def    __lowerCAmelCase		(					self		:						Any			)  -> Optional[Any]:




			with self.assertRaisesRegex(
			    lowercase_  ,     'bert-base is not a local folder and is not a valid model identifier'			):
				__magic_name__       :    Union[str, Any]     	=     AutoConfig.from_pretrained('bert-base'			)







		def    __lowerCAmelCase		(					self		:						Tuple			)  -> List[Any]:




			with self.assertRaisesRegex(
			    lowercase_  ,     R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'			):
				__magic_name__       :    str     	=     AutoConfig.from_pretrained(lowercase_  ,     revision='aaaaaa'			)







		def    __lowerCAmelCase		(					self		:						str			)  -> str:




			with self.assertRaisesRegex(
			    lowercase_  ,     'hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.'  ,     ):
				__magic_name__       :    Dict     	=     AutoConfig.from_pretrained('hf-internal-testing/no-config-test-repo'			)







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




			with self.assertRaises(lowercase_			):
				__magic_name__       :    Optional[int]     	=     AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'			)
			# If remote code is disabled, we can't load this config.
			with self.assertRaises(lowercase_			):
				__magic_name__       :    List[str]     	=     AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'  ,     trust_remote_code=lowercase_			)

			__magic_name__       :    List[Any]     	=     AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'  ,     trust_remote_code=lowercase_			)
			self.assertEqual(config.__class__.__name__  ,     'NewModelConfig'			)

			# Test config can be reloaded.
			with tempfile.TemporaryDirectory() as tmp_dir:
				config.save_pretrained(lowercase_			)
				__magic_name__       :    List[str]     	=     AutoConfig.from_pretrained(lowercase_  ,     trust_remote_code=lowercase_			)
			self.assertEqual(reloaded_config.__class__.__name__  ,     'NewModelConfig'			)







		def    __lowerCAmelCase		(					self		:						str			)  -> int:
			class _lowerCamelCase       (						UpperCamelCase_							):



					'''simple docstring'''







					A_	:			int          =				'new-model'

			try:
				AutoConfig.register('new-model'  ,     lowercase_			)
				# If remote code is not set, the default is to use local
				__magic_name__       :    Union[str, Any]     	=     AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'			)
				self.assertEqual(config.__class__.__name__  ,     'NewModelConfigLocal'			)

				# If remote code is disabled, we load the local one.
				__magic_name__       :    Union[str, Any]     	=     AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'  ,     trust_remote_code=lowercase_			)
				self.assertEqual(config.__class__.__name__  ,     'NewModelConfigLocal'			)

				# If remote is enabled, we load from the Hub
				__magic_name__       :    Any     	=     AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'  ,     trust_remote_code=lowercase_			)
				self.assertEqual(config.__class__.__name__  ,     'NewModelConfig'			)

			finally:
				if "new-model" in CONFIG_MAPPING._extra_content:
					del CONFIG_MAPPING._extra_content["new-model"]



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


if is_sentencepiece_available():
 from ..ta.tokenization_ta import TaTokenizer
else:
 from ...utils.dummy_sentencepiece_objects import TaTokenizer

lowerCamelCase											=       TaTokenizer

if is_tokenizers_available():
 from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
 from ...utils.dummy_tokenizers_objects import TaTokenizerFast

lowerCamelCase											=       TaTokenizerFast

lowerCamelCase											=       {'configuration_mt5': ['MT5Config', 'MT5OnnxConfig']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       [
     'MT5EncoderModel',
     'MT5ForConditionalGeneration',
     'MT5ForQuestionAnswering',
     'MT5Model',
     'MT5PreTrainedModel',
     'MT5Stack',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       ['TFMT5EncoderModel', 'TFMT5ForConditionalGeneration', 'TFMT5Model']

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       ['FlaxMT5EncoderModel', 'FlaxMT5ForConditionalGeneration', 'FlaxMT5Model']


if TYPE_CHECKING:
 from .configuration_mta import MTaConfig, MTaOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mta import (
      MTaEncoderModel,
      MTaForConditionalGeneration,
      MTaForQuestionAnswering,
      MTaModel,
      MTaPreTrainedModel,
      MTaStack,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
 import sys

 lowerCamelCase											=       _LazyModule(
     __name__,
     globals()['__file__'],
     _import_structure,
     extra_objects={'MT5Tokenizer': MTaTokenizer, 'MT5TokenizerFast': MTaTokenizerFast},
     module_spec=__spec__,
 )


