



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


__SCREAMING_SNAKE_CASE           =  get_tests_dir("""fixtures/dummy-config.json""")

class 	lowerCamelCase_    ( unittest.TestCase						):






						'''simple docstring'''







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[Any] )      ->				Tuple:
									A							:					Optional[Any]              =						0







						def 			SCREAMING_SNAKE_CASE__		(	self      :			int )      ->				Any:
									self.assertIsNotNone(transformers.models.auto.__spec__ )
									self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto" ) )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			List[str] )      ->				Dict:
									A							:					List[str]              =						AutoConfig.from_pretrained("bert-base-uncased" )
									self.assertIsInstance(__lowerCamelCase	,	__lowerCamelCase )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Dict )      ->				Dict:
									A							:					Optional[int]              =						AutoConfig.from_pretrained(__lowerCamelCase )
									self.assertIsInstance(__lowerCamelCase	,	__lowerCamelCase )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Any )      ->				Optional[int]:
									A							:					Optional[Any]              =						AutoConfig.from_pretrained(__lowerCamelCase )
									self.assertIsInstance(__lowerCamelCase	,	__lowerCamelCase )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[int] )      ->				str:
									A							:					str              =						AutoConfig.for_model("roberta" )
									self.assertIsInstance(__lowerCamelCase	,	__lowerCamelCase )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[Any] )      ->				Dict:
									with tempfile.TemporaryDirectory() as tmp_dir:
												# This model name contains bert and roberta, but roberta ends up being picked.
												A							:					Optional[int]              =						os.path.join(__lowerCamelCase	,	"fake-roberta" )
												os.makedirs(__lowerCamelCase	,	exist_ok=__lowerCamelCase )
												with open(os.path.join(__lowerCamelCase	,	"config.json" )	,	"w" ) as f:
															f.write(json.dumps({} ) )
												A							:					int              =						AutoConfig.from_pretrained(__lowerCamelCase )
												self.assertEqual(type(__lowerCamelCase )	,	__lowerCamelCase )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[Any] )      ->				str:
									try:
												AutoConfig.register("custom"	,	__lowerCamelCase )
												# Wrong model type will raise an error
												with self.assertRaises(__lowerCamelCase ):
															AutoConfig.register("model"	,	__lowerCamelCase )
												# Trying to register something existing in the Transformers library will raise an error
												with self.assertRaises(__lowerCamelCase ):
															AutoConfig.register("bert"	,	__lowerCamelCase )

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

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







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[int] )      ->				Optional[int]:
									with self.assertRaisesRegex(
									    __lowerCamelCase	,	"bert-base is not a local folder and is not a valid model identifier" ):
												A							:					str              =						AutoConfig.from_pretrained("bert-base" )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Dict )      ->				Any:
									with self.assertRaisesRegex(
									    __lowerCamelCase	,	r"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)" ):
												A							:					Optional[int]              =						AutoConfig.from_pretrained(__lowerCamelCase	,	revision="aaaaaa" )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[int] )      ->				str:
									with self.assertRaisesRegex(
									    __lowerCamelCase	,	"hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."	,	):
												A							:					Optional[Any]              =						AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo" )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Dict )      ->				List[str]:
									# If remote code is not set, we will time out when asking whether to load the model.
									with self.assertRaises(__lowerCamelCase ):
												A							:					int              =						AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model" )
									# If remote code is disabled, we can't load this config.
									with self.assertRaises(__lowerCamelCase ):
												A							:					Union[str, Any]              =						AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"	,	trust_remote_code=__lowerCamelCase )

									A							:					Union[str, Any]              =						AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"	,	trust_remote_code=__lowerCamelCase )
									self.assertEqual(config.__class__.__name__	,	"NewModelConfig" )

									# Test config can be reloaded.
									with tempfile.TemporaryDirectory() as tmp_dir:
												config.save_pretrained(__lowerCamelCase )
												A							:					List[Any]              =						AutoConfig.from_pretrained(__lowerCamelCase	,	trust_remote_code=__lowerCamelCase )
									self.assertEqual(reloaded_config.__class__.__name__	,	"NewModelConfig" )







						def 			SCREAMING_SNAKE_CASE__		(	self      :			List[Any] )      ->				Union[str, Any]:

									class 	lowerCamelCase_    ( _A						):






															'''simple docstring'''
															a__   =  "new-model"

									try:
												AutoConfig.register("new-model"	,	__lowerCamelCase )
												# If remote code is not set, the default is to use local
												A							:					Optional[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.
												A							:					str              =						AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"	,	trust_remote_code=__lowerCamelCase )
												self.assertEqual(config.__class__.__name__	,	"NewModelConfigLocal" )

												# If remote is enabled, we load from the Hub
												A							:					Any              =						AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"	,	trust_remote_code=__lowerCamelCase )
												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_torch_available


__SCREAMING_SNAKE_CASE           =  {
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE           =  [
							    """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """InstructBlipQFormerModel""",
							    """InstructBlipPreTrainedModel""",
							    """InstructBlipForConditionalGeneration""",
							    """InstructBlipVisionModel""",
							]

if TYPE_CHECKING:
							from .configuration_instructblip import (
							    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    InstructBlipConfig,
							    InstructBlipQFormerConfig,
							    InstructBlipVisionConfig,
							)
							from .processing_instructblip import InstructBlipProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_instructblip import (
														    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    InstructBlipForConditionalGeneration,
														    InstructBlipPreTrainedModel,
														    InstructBlipQFormerModel,
														    InstructBlipVisionModel,
														)

else:
							import sys

							__SCREAMING_SNAKE_CASE           =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)