
"""simple docstring"""





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

import black


_a								=						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.
_a								=						"""    \"\"\"
    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        _UpperCAmelCase(       unittest.TestCase      ):



		def 		UpperCAmelCase				(   self)			->			Any:






							'''simple docstring'''
							_UpperCamelCase									=    tempfile.mkdtemp()
							os.makedirs(os.path.join(self.diffusers_dir							,						'''schedulers/'''))
							_UpperCamelCase									=    self.diffusers_dir
							shutil.copy(
							    os.path.join(__a							,						'''src/diffusers/schedulers/scheduling_ddpm.py''')							,						os.path.join(self.diffusers_dir							,						'''schedulers/scheduling_ddpm.py''')							,						)



		def 		UpperCAmelCase				(   self)			->			int:






							'''simple docstring'''
							_UpperCamelCase									=    '''src/diffusers'''
							shutil.rmtree(self.diffusers_dir)



		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a							,						__a=None)			->			str:






							'''simple docstring'''
							_UpperCamelCase									=    comment + F'''\nclass {class_name}(nn.Module):\n''' + class_code
							if overwrite_result is not None:
												_UpperCamelCase									=    comment + F'''\nclass {class_name}(nn.Module):\n''' + overwrite_result
							_UpperCamelCase									=    black.Mode(target_versions={black.TargetVersion.PYaa}							,						line_length=1_19)
							_UpperCamelCase									=    black.format_str(__a							,						mode=__a)
							_UpperCamelCase									=    os.path.join(self.diffusers_dir							,						'''new_code.py''')
							with open(__a							,						'''w'''							,						newline='''\n''') as f:
												f.write(__a)
							if overwrite_result is None:
												self.assertTrue(len(check_copies.is_copy_consistent(__a)) == 0)
							else:
												check_copies.is_copy_consistent(f.name							,						overwrite=__a)
												with open(__a							,						'''r''') as f:
																	self.assertTrue(f.read()							,						__a)



		def 		UpperCAmelCase				(   self)			->			List[Any]:






							'''simple docstring'''
							_UpperCamelCase									=    check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput''')
							self.assertEqual(__a							,						__a)




		def 		UpperCAmelCase				(   self)			->			Dict:






							'''simple docstring'''
							# Base copy consistency
							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'''							,						__a							,						)

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

							# Copy consistency with a really long name
							_UpperCamelCase									=    '''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'''							,						__a							,						__a)							,						)

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













import copy
import random

from transformers import CLIPTokenizer







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      def __init__(		self   ,				*a__   ,				**a__):



             """simple docstring"""





             super().__init__(*a__   ,				**a__)
             _lowerCamelCase				:  Optional[Any]						=		{}


      def 					__snake_case      (		self   ,				a__   ,				*a__   ,				**a__):



             """simple docstring"""





             _lowerCamelCase				:  Optional[int]						=		super().add_tokens(a__   ,				*a__   ,				**a__)
             if num_added_tokens == 0:
                    raise ValueError(
                        F"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
                        ''' `placeholder_token` that is not already in the tokenizer.''')


      def 					__snake_case      (		self   ,				a__   ,				*a__   ,				a__=1   ,				**a__):



             """simple docstring"""





             _lowerCamelCase				:  Tuple						=		[]
             if num_vec_per_token == 1:
                    self.try_adding_tokens(a__   ,				*a__   ,				**a__)
                    output.append(a__)
             else:
                    _lowerCamelCase				:  Dict						=		[]
                    for i in range(a__):
                           _lowerCamelCase				:  Optional[Any]						=		placeholder_token + F"""_{i}"""
                           self.try_adding_tokens(a__   ,				*a__   ,				**a__)
                           output.append(a__)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
             for token in self.token_map:
                    if token in placeholder_token:
                           raise ValueError(
                               F"""The tokenizer already has placeholder token {token} that can get confused with"""
                               F""" {placeholder_token}keep placeholder tokens independent""")
             _lowerCamelCase				:  int						=		output


      def 					__snake_case      (		self   ,				a__   ,				a__=False   ,				a__=1.0):



             """simple docstring"""





             if isinstance(a__   ,				a__):
                    _lowerCamelCase				:  Tuple						=		[]
                    for i in range(len(a__)):
                           output.append(self.replace_placeholder_tokens_in_text(text[i]   ,				vector_shuffle=a__))
                    return output
             for placeholder_token in self.token_map:
                    if placeholder_token in text:
                           _lowerCamelCase				:  Union[str, Any]						=		self.token_map[placeholder_token]
                           _lowerCamelCase				:  Optional[Any]						=		tokens[: 1 + int(len(a__) * prop_tokens_to_load)]
                           if vector_shuffle:
                                  _lowerCamelCase				:  int						=		copy.copy(a__)
                                  random.shuffle(a__)
                           _lowerCamelCase				:  List[str]						=		text.replace(a__   ,				''' '''.join(a__))
             return text


      def __call__(		self   ,				a__   ,				*a__   ,				a__=False   ,				a__=1.0   ,				**a__):



             """simple docstring"""





             return super().__call__(
                 self.replace_placeholder_tokens_in_text(
                     a__   ,				vector_shuffle=a__   ,				prop_tokens_to_load=a__)   ,				*a__   ,				**a__   ,				)



      def 					__snake_case      (		self   ,				a__   ,				*a__   ,				a__=False   ,				a__=1.0   ,				**a__):



             """simple docstring"""





             return super().encode(
                 self.replace_placeholder_tokens_in_text(
                     a__   ,				vector_shuffle=a__   ,				prop_tokens_to_load=a__)   ,				*a__   ,				**a__   ,				)

