



import os
import re
import shutil
import sys
import tempfile
import unittest

import black


__lowerCamelCase         =			os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
__lowerCamelCase         =			'''    \"""
    Output class for the scheduler\'s step function output.

    Args:
        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
            denoising loop.
        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            The predicted denoised sample (x_{0}) based on the model output from the current timestep.
            `pred_original_sample` can be used to preview progress or for guidance.
    \"""

    prev_sample: torch.FloatTensor
    pred_original_sample: Optional[torch.FloatTensor] = None
'''


class   snake_case_ (unittest.TestCase  ):




       """simple docstring"""






       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Union[str, Any]				      =		tempfile.mkdtemp()
             os.makedirs(os.path.join(self.diffusers_dir     ,"schedulers/"))
             UpperCAmelCase_  :	Optional[int]				      =		self.diffusers_dir
             shutil.copy(
                 os.path.join(lowercase     ,"src/diffusers/schedulers/scheduling_ddpm.py")     ,os.path.join(self.diffusers_dir     ,"schedulers/scheduling_ddpm.py")     ,)



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	str				      =		"src/diffusers"
             shutil.rmtree(self.diffusers_dir)



       def  A_   (     self     ,lowercase     ,lowercase     ,lowercase     ,lowercase=None):

             """simple docstring"""





             UpperCAmelCase_  :	Union[str, Any]				      =		comment + F"""\nclass {class_name}(nn.Module):\n""" + class_code
             if overwrite_result is not None:
                   UpperCAmelCase_  :	Any				      =		comment + F"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
             UpperCAmelCase_  :	Union[str, Any]				      =		black.Mode(target_versions={black.TargetVersion.PYaa}     ,line_length=119)
             UpperCAmelCase_  :	Tuple				      =		black.format_str(lowercase     ,mode=lowercase)
             UpperCAmelCase_  :	Optional[Any]				      =		os.path.join(self.diffusers_dir     ,"new_code.py")
             with open(lowercase     ,"w"     ,newline="\n") as f:
                   f.write(lowercase)
             if overwrite_result is None:
                   self.assertTrue(len(check_copies.is_copy_consistent(lowercase)) == 0)
             else:
                   check_copies.is_copy_consistent(f.name     ,overwrite=lowercase)
                   with open(lowercase     ,"r") as f:
                         self.assertTrue(f.read()     ,lowercase)



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Optional[int]				      =		check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput")
             self.assertEqual(lowercase     ,lowercase)



       def  A_   (     self):

             """simple docstring"""





             self.check_copy_consistency(
                 "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"     ,"DDPMSchedulerOutput"     ,REFERENCE_CODE + "\n"     ,)

             # With no empty line at the end
             self.check_copy_consistency(
                 "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"     ,"DDPMSchedulerOutput"     ,lowercase     ,)

             # Copy consistency with rename
             self.check_copy_consistency(
                 "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"     ,"TestSchedulerOutput"     ,re.sub("DDPM"     ,"Test"     ,lowercase)     ,)

             # Copy consistency with a really long name
             UpperCAmelCase_  :	Tuple				      =		"TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
             self.check_copy_consistency(
                 F"""# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"""     ,F"""{long_class_name}SchedulerOutput"""     ,re.sub("Bert"     ,lowercase     ,lowercase)     ,)

             # Copy consistency with overwrite
             self.check_copy_consistency(
                 "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"     ,"TestSchedulerOutput"     ,lowercase     ,overwrite_result=re.sub("DDPM"     ,"Test"     ,lowercase)     ,)





from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCamelCase         =			logging.get_logger(__name__)

__lowerCamelCase         =			{
    '''microsoft/trocr-base-handwritten''': (
        '''https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json'''
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				"""trocr"""
       _lowerCamelCase			    =				["""past_key_values"""]
       _lowerCamelCase			    =				{
           """num_attention_heads""": """decoder_attention_heads""",
           """hidden_size""": """d_model""",
           """num_hidden_layers""": """decoder_layers""",
       }



       def __init__(     self     ,lowercase=50265     ,lowercase=1024     ,lowercase=12     ,lowercase=16     ,lowercase=4096     ,lowercase="gelu"     ,lowercase=512     ,lowercase=0.1     ,lowercase=0.0     ,lowercase=0.0     ,lowercase=2     ,lowercase=0.02     ,lowercase=0.0     ,lowercase=True     ,lowercase=False     ,lowercase=True     ,lowercase=True     ,lowercase=1     ,lowercase=0     ,lowercase=2     ,**lowercase     ,):

             """simple docstring"""





             UpperCAmelCase_  :	int				      =		vocab_size
             UpperCAmelCase_  :	Tuple				      =		d_model
             UpperCAmelCase_  :	List[str]				      =		decoder_layers
             UpperCAmelCase_  :	Union[str, Any]				      =		decoder_attention_heads
             UpperCAmelCase_  :	Optional[Any]				      =		decoder_ffn_dim
             UpperCAmelCase_  :	Tuple				      =		activation_function
             UpperCAmelCase_  :	List[Any]				      =		max_position_embeddings
             UpperCAmelCase_  :	List[Any]				      =		dropout
             UpperCAmelCase_  :	List[str]				      =		attention_dropout
             UpperCAmelCase_  :	Union[str, Any]				      =		activation_dropout
             UpperCAmelCase_  :	Optional[int]				      =		init_std
             UpperCAmelCase_  :	Dict				      =		decoder_layerdrop
             UpperCAmelCase_  :	List[str]				      =		use_cache
             UpperCAmelCase_  :	Dict				      =		scale_embedding
             UpperCAmelCase_  :	Dict				      =		use_learned_position_embeddings
             UpperCAmelCase_  :	Optional[Any]				      =		layernorm_embedding

             super().__init__(
                 pad_token_id=lowercase     ,bos_token_id=lowercase     ,eos_token_id=lowercase     ,decoder_start_token_id=lowercase     ,**lowercase     ,)
