code: 
  
  
  
  
  """simple docstring"""
  
  # 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
  
  
  __A 		=			"Here is a text containing a lot of information: '''{text}'''.\n\nCan you answer this question about the text: '{question}'"
  class 			lowerCamelCase__    (  lowerCamelCase_			):
  			a__ :      Union[str, Any]								=     """google/flan-t5-base"""
  			a__ :      Any								=     (
  			    """This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the """
  			    """text where to find the answer, and `question`, which is the question, and returns the answer to the question."""
  			)
  			a__ :      Optional[int]								=     """text_qa"""
  			a__ :      Dict								=     AutoTokenizer
  			a__ :      int								=     AutoModelForSeqaSeqLM
  
  			a__ :      Tuple								=     ["""text""", """text"""]
  			a__ :      List[Any]								=     ["""text"""]
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Optional[int]								=				QA_PROMPT.format(text=SCREAMING_SNAKE_CASE				, question=SCREAMING_SNAKE_CASE							)
  					return self.pre_processor(SCREAMING_SNAKE_CASE				, return_tensors="pt"							)
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Optional[int]								=				self.model.generate(**SCREAMING_SNAKE_CASE							)
  
  					snake_case			,				snake_case		:						Tuple								=				inputs["input_ids"].shape
  					snake_case		:						str								=				output_ids.shape[0]
  
  					return output_ids.reshape(SCREAMING_SNAKE_CASE				, out_b // in_b				, *output_ids.shape[1:]							)[0][0]
  
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.pre_processor.decode(SCREAMING_SNAKE_CASE				, skip_special_tokens=SCREAMING_SNAKE_CASE				, clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE							)
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  import tempfile
  import unittest
  
  from diffusers import (
      DDIMScheduler,
      DDPMScheduler,
      DPMSolverMultistepScheduler,
      EulerAncestralDiscreteScheduler,
      EulerDiscreteScheduler,
      PNDMScheduler,
      logging,
  )
  from diffusers.configuration_utils import ConfigMixin, register_to_config
  from diffusers.utils.testing_utils import CaptureLogger
  class 			lowerCamelCase__    (  lowerCamelCase_			):
  			a__ :      int								=     """config.json"""
  
  
  			@register_to_config
  			def __init__(     self				, SCREAMING_SNAKE_CASE=2				, SCREAMING_SNAKE_CASE=5				, SCREAMING_SNAKE_CASE=(2, 5)				, SCREAMING_SNAKE_CASE="for diffusion"				, SCREAMING_SNAKE_CASE=[1, 3]				, ):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					pass
  
  
  
  
  
  
  
  class 			lowerCamelCase__    (  lowerCamelCase_			):
  			a__ :      Dict								=     """config.json"""
  
  
  			@register_to_config
  			def __init__(     self				, SCREAMING_SNAKE_CASE=2				, SCREAMING_SNAKE_CASE=5				, SCREAMING_SNAKE_CASE=(2, 5)				, SCREAMING_SNAKE_CASE="for diffusion"				, SCREAMING_SNAKE_CASE=[1, 3]				, ):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					pass
  
  
  
  
  
  
  
  class 			lowerCamelCase__    (  lowerCamelCase_			):
  			a__ :      Union[str, Any]								=     """config.json"""
  
  
  			@register_to_config
  			def __init__(     self				, SCREAMING_SNAKE_CASE=2				, SCREAMING_SNAKE_CASE=5				, SCREAMING_SNAKE_CASE=(2, 5)				, SCREAMING_SNAKE_CASE="for diffusion"				, SCREAMING_SNAKE_CASE=[1, 3]				, SCREAMING_SNAKE_CASE=[1, 3]				, ):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					pass
  
  
  
  
  
  
  
  class 			lowerCamelCase__    (  lowerCamelCase_			):
  			a__ :      Tuple								=     """config.json"""
  
  
  			@register_to_config
  			def __init__(     self				, SCREAMING_SNAKE_CASE=2				, SCREAMING_SNAKE_CASE=5				, SCREAMING_SNAKE_CASE=(2, 5)				, SCREAMING_SNAKE_CASE="for diffusion"				, SCREAMING_SNAKE_CASE=[1, 5]				, SCREAMING_SNAKE_CASE=[5, 4]				, ):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					pass
  
  
  
  
  
  
  
  class 			lowerCamelCase__    (  unittest.TestCase			):
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					with self.assertRaises(SCREAMING_SNAKE_CASE							):
  							ConfigMixin.load_config("dummy_path"							)
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Dict								=				SampleObject()
  					snake_case		:						Dict								=				obj.config
  					assert config["a"] == 2
  					assert config["b"] == 5
  					assert config["c"] == (2, 5)
  					assert config["d"] == "for diffusion"
  					assert config["e"] == [1, 3]
  
  					# init ignore private arguments
  					snake_case		:						Dict								=				SampleObject(_name_or_path="lalala"							)
  					snake_case		:						List[Any]								=				obj.config
  					assert config["a"] == 2
  					assert config["b"] == 5
  					assert config["c"] == (2, 5)
  					assert config["d"] == "for diffusion"
  					assert config["e"] == [1, 3]
  
  					# can override default
  					snake_case		:						str								=				SampleObject(c=6							)
  					snake_case		:						Any								=				obj.config
  					assert config["a"] == 2
  					assert config["b"] == 5
  					assert config["c"] == 6
  					assert config["d"] == "for diffusion"
  					assert config["e"] == [1, 3]
  
  					# can use positional arguments.
  					snake_case		:						int								=				SampleObject(1				, c=6							)
  					snake_case		:						Dict								=				obj.config
  					assert config["a"] == 1
  					assert config["b"] == 5
  					assert config["c"] == 6
  					assert config["d"] == "for diffusion"
  					assert config["e"] == [1, 3]
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						str								=				SampleObject()
  					snake_case		:						List[str]								=				obj.config
  
  					assert config["a"] == 2
  					assert config["b"] == 5
  					assert config["c"] == (2, 5)
  					assert config["d"] == "for diffusion"
  					assert config["e"] == [1, 3]
  
  					with tempfile.TemporaryDirectory() as tmpdirname:
  							obj.save_config(SCREAMING_SNAKE_CASE							)
  							snake_case		:						Union[str, Any]								=				SampleObject.from_config(SampleObject.load_config(SCREAMING_SNAKE_CASE							)							)
  							snake_case		:						Union[str, Any]								=				new_obj.config
  
  					# unfreeze configs
  					snake_case		:						List[str]								=				dict(SCREAMING_SNAKE_CASE							)
  					snake_case		:						Union[str, Any]								=				dict(SCREAMING_SNAKE_CASE							)
  
  					assert config.pop("c"							) == (2, 5)  # instantiated as tuple
  					assert new_config.pop("c"							) == [2, 5]  # saved & loaded as list because of json
  					config.pop("_use_default_values"							)
  					assert config == new_config
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						List[Any]								=				logging.get_logger("diffusers.configuration_utils"							)
  					# 30 for warning
  					logger.setLevel(30							)
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
  							snake_case		:						Any								=				DDIMScheduler.from_pretrained(
  							    "hf-internal-testing/tiny-stable-diffusion-torch"				, subfolder="scheduler"							)
  
  					assert ddim.__class__ == DDIMScheduler
  					# no warning should be thrown
  					assert cap_logger.out == ""
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						int								=				logging.get_logger("diffusers.configuration_utils"							)
  					# 30 for warning
  					logger.setLevel(30							)
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
  							snake_case		:						Optional[int]								=				EulerDiscreteScheduler.from_pretrained(
  							    "hf-internal-testing/tiny-stable-diffusion-torch"				, subfolder="scheduler"							)
  
  					assert euler.__class__ == EulerDiscreteScheduler
  					# no warning should be thrown
  					assert cap_logger.out == ""
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Any								=				logging.get_logger("diffusers.configuration_utils"							)
  					# 30 for warning
  					logger.setLevel(30							)
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
  							snake_case		:						Union[str, Any]								=				EulerAncestralDiscreteScheduler.from_pretrained(
  							    "hf-internal-testing/tiny-stable-diffusion-torch"				, subfolder="scheduler"							)
  
  					assert euler.__class__ == EulerAncestralDiscreteScheduler
  					# no warning should be thrown
  					assert cap_logger.out == ""
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Union[str, Any]								=				logging.get_logger("diffusers.configuration_utils"							)
  					# 30 for warning
  					logger.setLevel(30							)
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
  							snake_case		:						List[Any]								=				PNDMScheduler.from_pretrained(
  							    "hf-internal-testing/tiny-stable-diffusion-torch"				, subfolder="scheduler"							)
  
  					assert pndm.__class__ == PNDMScheduler
  					# no warning should be thrown
  					assert cap_logger.out == ""
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						str								=				logging.get_logger("diffusers.configuration_utils"							)
  					# 30 for warning
  					logger.setLevel(30							)
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
  							snake_case		:						List[Any]								=				DDPMScheduler.from_pretrained(
  							    "hf-internal-testing/tiny-stable-diffusion-torch"				, subfolder="scheduler"				, prediction_type="sample"				, beta_end=8				, )
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger_a:
  							snake_case		:						Optional[int]								=				DDPMScheduler.from_pretrained("google/ddpm-celebahq-256"				, beta_start=88							)
  
  					assert ddpm.__class__ == DDPMScheduler
  					assert ddpm.config.prediction_type == "sample"
  					assert ddpm.config.beta_end == 8
  					assert ddpm_a.config.beta_start == 88
  
  					# no warning should be thrown
  					assert cap_logger.out == ""
  					assert cap_logger_a.out == ""
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Dict								=				logging.get_logger("diffusers.configuration_utils"							)
  					# 30 for warning
  					logger.setLevel(30							)
  
  					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
  							snake_case		:						Union[str, Any]								=				DPMSolverMultistepScheduler.from_pretrained(
  							    "hf-internal-testing/tiny-stable-diffusion-torch"				, subfolder="scheduler"							)
  
  					assert dpm.__class__ == DPMSolverMultistepScheduler
  					# no warning should be thrown
  					assert cap_logger.out == ""
  
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Optional[Any]								=				SampleObject()
  
  					snake_case		:						str								=				{k: v for k, v in config.config.items() if not k.startswith("_"							)}
  
  					# make sure that default config has all keys in `_use_default_values`
  					assert set(config_dict.keys()							) == set(config.config._use_default_values							)
  
  					with tempfile.TemporaryDirectory() as tmpdirname:
  							config.save_config(SCREAMING_SNAKE_CASE							)
  
  							# now loading it with SampleObject2 should put f into `_use_default_values`
  							snake_case		:						Optional[int]								=				SampleObjecta.from_config(SCREAMING_SNAKE_CASE							)
  
  							assert "f" in config._use_default_values
  							assert config.f == [1, 3]
  
  					# now loading the config, should **NOT** use [1, 3] for `f`, but the default [1, 4] value
  					# **BECAUSE** it is part of `config._use_default_values`
  					snake_case		:						Tuple								=				SampleObjecta.from_config(config.config							)
  					assert new_config.f == [5, 4]
  
  					config.config._use_default_values.pop()
  					snake_case		:						List[Any]								=				SampleObjecta.from_config(config.config							)
  					assert new_config_a.f == [1, 3]
  
  					# Nevertheless "e" should still be correctly loaded to [1, 3] from SampleObject2 instead of defaulting to [1, 5]
  					assert new_config_a.e == [1, 3]
  
  