

'''simple docstring'''

import json
import os
import pickle
import subprocess
from hashlib import mda
from pathlib import Path
from tempfile import gettempdir
from textwrap import dedent
from types import CodeType, FunctionType
from unittest import TestCase
from unittest.mock import patch

import pytest
from multiprocess import Pool
from packaging import version

import datasets
from datasets.fingerprint import Hasher, fingerprint_transform
from datasets.table import InMemoryTable

from .utils import (
    require_regex,
    require_spacy,
    require_spacy_model,
    require_tiktoken,
    require_torch,
    require_transformers,
)


class 					lowerCAmelCase       :







       def __init__(							self     :	Optional[Any]  , __lowercase     :	List[Any] ):







            """simple docstring"""







            __lowercase     						=foo







       def __call__(							self     :	List[Any] ):







            """simple docstring"""







            return self.foo






class 					lowerCAmelCase       ( datasets.Dataset				):







       @fingerprint_transform(inplace=__lowercase )
       def      snake_case				(							self     :	Union[str, Any]  , __lowercase     :	List[str]  , *__lowercase     :	Dict  , **__lowercase     :	Tuple ):







            """simple docstring"""







            return DatasetChild(self.data  , fingerprint=__lowercase )







       @fingerprint_transform(inplace=__lowercase )
       def      snake_case				(							self     :	Any  , __lowercase     :	List[Any]  , *__lowercase     :	List[Any]  , **__lowercase     :	Union[str, Any] ):







            """simple docstring"""







            return DatasetChild(self.data  , fingerprint=__lowercase )






class 					lowerCAmelCase       :







       def __init__(							self     :	str  , __lowercase     :	Dict ):







            """simple docstring"""







            __lowercase     						=callable







       def __call__(							self     :	Optional[int]  , *__lowercase     :	int  , **__lowercase     :	Optional[int] ):







            """simple docstring"""







            if self.callable is not None:
                 return self.callable(*__lowercase  , **__lowercase )







       def __getstate__(							self     :	List[Any] ):







            """simple docstring"""







            raise pickle.PicklingError()






class 					lowerCAmelCase       ( A				):







       @require_transformers
       @pytest.mark.integration
       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            from transformers import AutoTokenizer

            def encode(__lowercase     :	List[Any] ):
                 return tokenizer(__lowercase )

            # TODO: add hash consistency tests across sessions
            __lowercase     						=AutoTokenizer.from_pretrained('bert-base-uncased' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(lambda __lowercase : tokenizer(__lowercase ) ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=AutoTokenizer.from_pretrained('bert-base-cased' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(lambda __lowercase : tokenizer(__lowercase ) ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=AutoTokenizer.from_pretrained('bert-base-uncased' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(lambda __lowercase : tokenizer(__lowercase ) ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       @require_transformers
       @pytest.mark.integration
       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            from transformers import AutoTokenizer

            __lowercase     						=AutoTokenizer.from_pretrained('gpt2' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            tokenizer('Hello world !' )  # call once to change the tokenizer's cache
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )







       @require_regex
       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            import regex

            __lowercase     						=regex.Regex('foo' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=regex.Regex('bar' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=regex.Regex('foo' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )






class 					lowerCAmelCase       ( A				):







       def      snake_case				(							self     :	Any ):







            """simple docstring"""







            def func():
                 return foo

            __lowercase     						=[0]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=[1]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=[0]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	int ):







            """simple docstring"""







            def func():
                 pass

            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()

            def func():
                 pass

            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	int ):







            """simple docstring"""







            __lowercase     						=mda(datasets.utils.py_utils.dumps(Foo([0] ) ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(Foo([1] ) ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(Foo([0] ) ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	Any ):







            """simple docstring"""







            __lowercase     						=mda(datasets.utils.py_utils.dumps(Foo([0] ).__call__ ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(Foo([1] ).__call__ ) ).hexdigest()
            __lowercase     						=mda(datasets.utils.py_utils.dumps(Foo([0] ).__call__ ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	int ):







            """simple docstring"""







            __lowercase     						=(
                'co_argcount',
                'co_kwonlyargcount',
                'co_nlocals',
                'co_stacksize',
                'co_flags',
                'co_code',
                'co_consts',
                'co_names',
                'co_varnames',
                'co_filename',
                'co_name',
                'co_firstlineno',
                'co_lnotab',
                'co_freevars',
                'co_cellvars',
            )

            def _create_code_pyaa(*__lowercase     :	List[Any] ):
                 if hasattr(args[-3]  , 'encode' ):
                      __lowercase     						=list(__lowercase )
                      __lowercase     						=args[-3].encode()  # co_lnotab
                      __lowercase     						=args[-10].encode()  # co_code
                 if hasattr(__lowercase  , 'co_posonlyargcount' ):
                      if len(__lowercase ) == 16:
                           return CodeType(*__lowercase )
                      elif len(__lowercase ) == 15:
                           return CodeType(args[0]  , 0  , *args[1:] )
                      return CodeType(args[0]  , 0  , 0  , *args[1:] )
                 elif hasattr(__lowercase  , 'co_kwonlyargcount' ):
                      if len(__lowercase ) == 16:
                           return CodeType(args[0]  , *args[2:] )
                      elif len(__lowercase ) == 15:
                           return CodeType(*__lowercase )
                      return CodeType(args[0]  , 0  , *args[1:] )
                 if len(__lowercase ) == 16:
                      return CodeType(args[0]  , *args[3:] )
                 elif len(__lowercase ) == 15:
                      return CodeType(args[0]  , *args[2:] )
                 return CodeType(*__lowercase )

            def create_ipython_func(__lowercase     :	Dict  , __lowercase     :	Tuple ):
                 def func():
                      return returned_obj

                 __lowercase     						=func.__code__
                 # Use _create_code from dill in order to make it work for different python versions
                 if datasets.config.PY_VERSION < version.parse('3.8' ):
                      __lowercase     						=_create_code_pyaa(
                          *[getattr(__lowercase  , __lowercase ) if k != 'co_filename' else co_filename for k in code_args_pyaa] )
                 else:
                      __lowercase     						=code.replace(co_filename=__lowercase )
                 return FunctionType(__lowercase  , func.__globals__  , func.__name__  , func.__defaults__  , func.__closure__ )

            __lowercase						,       __lowercase     						='<ipython-input-2-e0383a102aae>', [0]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(create_ipython_func(__lowercase  , __lowercase ) ) ).hexdigest()
            __lowercase						,       __lowercase     						='<ipython-input-2-e0383a102aae>', [1]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(create_ipython_func(__lowercase  , __lowercase ) ) ).hexdigest()
            __lowercase						,       __lowercase     						='<ipython-input-5-713f6613acf3>', [0]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(create_ipython_func(__lowercase  , __lowercase ) ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )

            __lowercase						,       __lowercase     						=os.path.join(gettempdir()  , 'ipykernel_12345'  , '321456789.py' ), [0]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(create_ipython_func(__lowercase  , __lowercase ) ) ).hexdigest()
            __lowercase						,       __lowercase     						=os.path.join(gettempdir()  , 'ipykernel_12345'  , '321456789.py' ), [1]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(create_ipython_func(__lowercase  , __lowercase ) ) ).hexdigest()
            __lowercase						,       __lowercase     						=os.path.join(gettempdir()  , 'ipykernel_12345'  , '654123987.py' ), [0]
            __lowercase     						=mda(datasets.utils.py_utils.dumps(create_ipython_func(__lowercase  , __lowercase ) ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	int ):







            """simple docstring"""







            __lowercase						,       __lowercase     						=[0], [1]

            def func():
                 return foo, bar

            __lowercase     						='__main__'

            def globalvars_mocka_side_effect(__lowercase     :	Optional[int]  , *__lowercase     :	str  , **__lowercase     :	Dict ):
                 return {"foo": foo, "bar": bar}

            def globalvars_mocka_side_effect(__lowercase     :	Tuple  , *__lowercase     :	int  , **__lowercase     :	Dict ):
                 return {"bar": bar, "foo": foo}

            with patch('dill.detect.globalvars'  , side_effect=__lowercase ) as globalvars_mocka:
                 __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
                 self.assertGreater(globalvars_mocka.call_count  , 0 )
            with patch('dill.detect.globalvars'  , side_effect=__lowercase ) as globalvars_mocka:
                 __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
                 self.assertGreater(globalvars_mocka.call_count  , 0 )
            self.assertEqual(__lowercase  , __lowercase )






class 					lowerCAmelCase       ( A				):







       def      snake_case				(							self     :	str ):







            """simple docstring"""







            __lowercase     						=Hasher.hash('hello' )
            __lowercase     						=Hasher.hash('hello' )
            __lowercase     						=Hasher.hash('there' )
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            __lowercase     						=Hasher.hash(Foo('hello' ) )
            __lowercase     						=Hasher.hash(Foo('hello' ) )
            __lowercase     						=Hasher.hash(Foo('there' ) )
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	Union[str, Any] ):







            """simple docstring"""







            __lowercase     						=Hasher()
            for x in ["hello", Foo('hello' )]:
                 hasher.update(__lowercase )
            __lowercase     						=hasher.hexdigest()
            __lowercase     						=Hasher()
            for x in ["hello", Foo('hello' )]:
                 hasher.update(__lowercase )
            __lowercase     						=hasher.hexdigest()
            __lowercase     						=Hasher()
            for x in ["there", Foo('there' )]:
                 hasher.update(__lowercase )
            __lowercase     						=hasher.hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       def      snake_case				(							self     :	List[Any] ):







            """simple docstring"""







            with self.assertRaises(pickle.PicklingError ):
                 Hasher.hash(UnpicklableCallable(Foo('hello' ) ) )







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            __lowercase     						='abc'
            __lowercase     						=[string, string]  # two strings have the same ids
            __lowercase     						=[string, string]
            __lowercase     						=json.loads(f'''["{string}", "{string}"]''' )  # two strings have different ids
            self.assertIs(obja[0]  , __lowercase )
            self.assertIs(obja[0]  , obja[1] )
            self.assertIs(obja[0]  , __lowercase )
            self.assertIs(obja[0]  , obja[1] )
            self.assertIsNot(obja[0]  , __lowercase )
            self.assertIsNot(obja[0]  , obja[1] )
            __lowercase     						=Hasher.hash(__lowercase )
            __lowercase     						=Hasher.hash(__lowercase )
            __lowercase     						=Hasher.hash(__lowercase )
            self.assertEqual(__lowercase  , __lowercase )
            self.assertEqual(__lowercase  , __lowercase )







       @require_tiktoken
       def      snake_case				(							self     :	int ):







            """simple docstring"""







            import tiktoken

            __lowercase     						=tiktoken.get_encoding('gpt2' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=tiktoken.get_encoding('r50k_base' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=tiktoken.get_encoding('gpt2' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       @require_torch
       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            import torch

            __lowercase     						=torch.tensor([1.0] )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=torch.tensor([2.0] )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=torch.tensor([1.0] )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )







       @require_spacy
       @require_spacy_model('en_core_web_sm' )
       @require_spacy_model('fr_core_news_sm' )
       @pytest.mark.integration
       def      snake_case				(							self     :	Optional[Any] ):







            """simple docstring"""







            import spacy

            __lowercase     						=spacy.load('en_core_web_sm' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=spacy.load('fr_core_news_sm' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            __lowercase     						=spacy.load('en_core_web_sm' )
            __lowercase     						=mda(datasets.utils.py_utils.dumps(__lowercase ) ).hexdigest()
            self.assertEqual(__lowercase  , __lowercase )
            self.assertNotEqual(__lowercase  , __lowercase )






@pytest.mark.integration
def 			__UpperCamelCase							(		lowercase__  :					Path	):






     '''simple docstring'''





     __lowercase     						=tmp_path / 'dir1'
     __lowercase     						=tmp_path / 'dir2'
     dira.mkdir()
     dira.mkdir()
     __lowercase     						='script.py'
     __lowercase     						=dedent(
         '\n    from datasets.fingerprint import Hasher\n    def foo():\n        pass\n    print(Hasher.hash(foo))\n    '	)
     __lowercase     						=dira / script_filename
     __lowercase     						=dira / script_filename
     with script_patha.open('w'	) as f:
          f.write(lowercase__	)
     with script_patha.open('w'	) as f:
          f.write(lowercase__	)
     __lowercase     						=subprocess.check_output(['python', str(lowercase__	)]	)
     __lowercase     						=subprocess.check_output(['python', str(lowercase__	)]	)
     assert fingerprinta == fingerprinta

def 			__UpperCamelCase							(		):






     '''simple docstring'''





     __lowercase     						={'a': [0, 1, 2]}
     __lowercase     						=DatasetChild(InMemoryTable.from_pydict(lowercase__	)	)
     __lowercase     						=dataset.funca()._fingerprint
     assert expected_fingerprint == dataset.funca()._fingerprint
     assert expected_fingerprint != dataset.funca()._fingerprint

     with Pool(2	) as p:
          assert expected_fingerprint == p.apply_async(dataset.funca	).get()._fingerprint
          assert expected_fingerprint != p.apply_async(dataset.funca	).get()._fingerprint

def 			__UpperCamelCase							(		):






     '''simple docstring'''





     __lowercase     						={'a': [0, 1, 2]}


     class 					lowerCAmelCase       ( datasets.Dataset				):







            @fingerprint_transform(inplace=__lowercase )
            def      snake_case				(							self     :	Optional[Any]  , __lowercase     :	Dict ):







                 """simple docstring"""







                 return DummyDatasetChild(self.data  , fingerprint=__lowercase )






     __lowercase     						=DummyDatasetChild(InMemoryTable.from_pydict(lowercase__	)	).func()


     class 					lowerCAmelCase       ( datasets.Dataset				):







            @fingerprint_transform(inplace=__lowercase  , version='1.0.0' )
            def      snake_case				(							self     :	Union[str, Any]  , __lowercase     :	List[Any] ):







                 """simple docstring"""







                 return DummyDatasetChild(self.data  , fingerprint=__lowercase )






     __lowercase     						=DummyDatasetChild(InMemoryTable.from_pydict(lowercase__	)	).func()


     class 					lowerCAmelCase       ( datasets.Dataset				):







            @fingerprint_transform(inplace=__lowercase  , version='2.0.0' )
            def      snake_case				(							self     :	Union[str, Any]  , __lowercase     :	Union[str, Any] ):







                 """simple docstring"""







                 return DummyDatasetChild(self.data  , fingerprint=__lowercase )






     __lowercase     						=DummyDatasetChild(InMemoryTable.from_pydict(lowercase__	)	).func()

     assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}	) == 3







def 			__UpperCamelCase							(		):






     '''simple docstring'''





     __lowercase     						=Hasher()
     hasher.update(lambda lowercase__	: x	)





'''simple docstring'''

import torch

from diffusers import DDIMScheduler

from .test_schedulers import SchedulerCommonTest


class 					lowerCAmelCase       ( A				):
       lowerCAmelCase_				=	(DDIMScheduler,)
       lowerCAmelCase_				=	(("eta", 0.0), ("num_inference_steps", 5_0))







       def      snake_case				(							self     :	List[Any]  , **__lowercase     :	Optional[Any] ):







            """simple docstring"""







            __lowercase     						={
                'num_train_timesteps': 1000,
                'beta_start': 0.0_0_0_1,
                'beta_end': 0.0_2,
                'beta_schedule': 'linear',
                'clip_sample': True,
            }

            config.update(**__lowercase )
            return config







       def      snake_case				(							self     :	Optional[Any]  , **__lowercase     :	str ):







            """simple docstring"""







            __lowercase     						=self.scheduler_classes[0]
            __lowercase     						=self.get_scheduler_config(**__lowercase )
            __lowercase     						=scheduler_class(**__lowercase )

            __lowercase						,       __lowercase     						=10, 0.0

            __lowercase     						=self.dummy_model()
            __lowercase     						=self.dummy_sample_deter

            scheduler.set_timesteps(__lowercase )

            for t in scheduler.timesteps:
                 __lowercase     						=model(__lowercase  , __lowercase )
                 __lowercase     						=scheduler.step(__lowercase  , __lowercase  , __lowercase  , __lowercase ).prev_sample

            return sample







       def      snake_case				(							self     :	List[Any] ):







            """simple docstring"""







            for timesteps in [100, 500, 1000]:
                 self.check_over_configs(num_train_timesteps=__lowercase )







       def      snake_case				(							self     :	List[Any] ):







            """simple docstring"""







            for steps_offset in [0, 1]:
                 self.check_over_configs(steps_offset=__lowercase )

            __lowercase     						=self.scheduler_classes[0]
            __lowercase     						=self.get_scheduler_config(steps_offset=1 )
            __lowercase     						=scheduler_class(**__lowercase )
            scheduler.set_timesteps(5 )
            assert torch.equal(scheduler.timesteps  , torch.LongTensor([801, 601, 401, 201, 1] ) )







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            for beta_start, beta_end in zip([0.0_0_0_1, 0.0_0_1, 0.0_1, 0.1]  , [0.0_0_2, 0.0_2, 0.2, 2] ):
                 self.check_over_configs(beta_start=__lowercase  , beta_end=__lowercase )







       def      snake_case				(							self     :	str ):







            """simple docstring"""







            for schedule in ["linear", "squaredcos_cap_v2"]:
                 self.check_over_configs(beta_schedule=__lowercase )







       def      snake_case				(							self     :	str ):







            """simple docstring"""







            for prediction_type in ["epsilon", "v_prediction"]:
                 self.check_over_configs(prediction_type=__lowercase )







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            for clip_sample in [True, False]:
                 self.check_over_configs(clip_sample=__lowercase )







       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            for timestep_spacing in ["trailing", "leading"]:
                 self.check_over_configs(timestep_spacing=__lowercase )







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            for rescale_betas_zero_snr in [True, False]:
                 self.check_over_configs(rescale_betas_zero_snr=__lowercase )







       def      snake_case				(							self     :	int ):







            """simple docstring"""







            self.check_over_configs(thresholding=__lowercase )
            for threshold in [0.5, 1.0, 2.0]:
                 for prediction_type in ["epsilon", "v_prediction"]:
                      self.check_over_configs(
                          thresholding=__lowercase  , prediction_type=__lowercase  , sample_max_value=__lowercase  , )







       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            for t in [1, 10, 49]:
                 self.check_over_forward(time_step=__lowercase )







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            for t, num_inference_steps in zip([1, 10, 50]  , [10, 50, 500] ):
                 self.check_over_forward(time_step=__lowercase  , num_inference_steps=__lowercase )







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            for t, eta in zip([1, 10, 49]  , [0.0, 0.5, 1.0] ):
                 self.check_over_forward(time_step=__lowercase  , eta=__lowercase )







       def      snake_case				(							self     :	Optional[int] ):







            """simple docstring"""







            __lowercase     						=self.scheduler_classes[0]
            __lowercase     						=self.get_scheduler_config()
            __lowercase     						=scheduler_class(**__lowercase )

            assert torch.sum(torch.abs(scheduler._get_variance(0  , 0 ) - 0.0 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(420  , 400 ) - 0.1_4_7_7_1 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(980  , 960 ) - 0.3_2_4_6_0 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(0  , 0 ) - 0.0 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(487  , 486 ) - 0.0_0_9_7_9 ) ) < 1E-5
            assert torch.sum(torch.abs(scheduler._get_variance(999  , 998 ) - 0.0_2 ) ) < 1E-5







       def      snake_case				(							self     :	Tuple ):







            """simple docstring"""







            __lowercase     						=self.full_loop()

            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 1_7_2.0_0_6_7 ) < 1E-2
            assert abs(result_mean.item() - 0.2_2_3_9_6_7 ) < 1E-3







       def      snake_case				(							self     :	List[str] ):







            """simple docstring"""







            __lowercase     						=self.full_loop(prediction_type='v_prediction' )

            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 5_2.5_3_0_2 ) < 1E-2
            assert abs(result_mean.item() - 0.0_6_8_4 ) < 1E-3







       def      snake_case				(							self     :	Optional[Any] ):







            """simple docstring"""







            __lowercase     						=self.full_loop(set_alpha_to_one=__lowercase  , beta_start=0.0_1 )
            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 1_4_9.8_2_9_5 ) < 1E-2
            assert abs(result_mean.item() - 0.1_9_5_1 ) < 1E-3







       def      snake_case				(							self     :	Dict ):







            """simple docstring"""







            __lowercase     						=self.full_loop(set_alpha_to_one=__lowercase  , beta_start=0.0_1 )
            __lowercase     						=torch.sum(torch.abs(__lowercase ) )
            __lowercase     						=torch.mean(torch.abs(__lowercase ) )

            assert abs(result_sum.item() - 1_4_9.0_7_8_4 ) < 1E-2
            assert abs(result_mean.item() - 0.1_9_4_1 ) < 1E-3


