
"""simple docstring"""





import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union

import flax
import jax.numpy as jnp

from ..utils import BaseOutput


_a														=		"""scheduler_config.json"""






class     _UpperCAmelCase(    lowerCamelCase	):
		lowercase__						=      1
		lowercase__						=      2
		lowercase__						=      3
		lowercase__						=      4
		lowercase__						=      5






@dataclass
class     _UpperCAmelCase(    lowerCamelCase	):
		lowercase__						=      42






class     _UpperCAmelCase:
		lowercase__						=      SCHEDULER_CONFIG_NAME
		lowercase__						=      ['dtype']
		lowercase__						=      []
		lowercase__						=      True



		@classmethod
		def 						UpperCAmelCase							(					cls				,		__a = None				,		__a = None				,		__a=False				,		**__a				,		)       ->       Tuple:






							'''simple docstring'''
							_UpperCamelCase ,  _UpperCamelCase							 =  cls.load_config(
							    pretrained_model_name_or_path=__a				,		subfolder=__a				,		return_unused_kwargs=__a				,		**__a				,		)
							_UpperCamelCase ,  _UpperCamelCase							 =  cls.from_config(__a				,		return_unused_kwargs=__a				,		**__a)

							if hasattr(__a				,		'''create_state''') and getattr(__a				,		'''has_state'''				,		__a):
												_UpperCamelCase							 =  scheduler.create_state()

							if return_unused_kwargs:
												return scheduler, state, unused_kwargs

							return scheduler, state



		def 						UpperCAmelCase							(					self				,		__a				,		__a = False				,		**__a)       ->       Tuple:






							'''simple docstring'''
							self.save_config(save_directory=__a				,		push_to_hub=__a				,		**__a)



		@property
		def 						UpperCAmelCase							(					self)       ->       List[str]:






							'''simple docstring'''
							return self._get_compatibles()




		@classmethod
		def 						UpperCAmelCase							(					cls)       ->       Tuple:






							'''simple docstring'''
							_UpperCamelCase							 =  list(set([cls.__name__] + cls._compatibles))
							_UpperCamelCase							 =  importlib.import_module(__name__.split('''.''')[0])
							_UpperCamelCase							 =  [
							    getattr(__a				,		__a) for c in compatible_classes_str if hasattr(__a				,		__a)
							]
							return compatible_classes





def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		jnp.ndarray:


					"""simple docstring"""





					assert len(__snake_case	) >= x.ndim
					return jnp.broadcast_to(x.reshape(x.shape + (1,) * (len(__snake_case	) - x.ndim)	),     __snake_case	)



def       lowerCamelCase__		(			__snake_case,     __snake_case=0.999,     __snake_case=jnp.floataa	)							->		jnp.ndarray:


					"""simple docstring"""





					def alpha_bar(__snake_case	):
										return math.cos((time_step + 0.008) / 1.008 * math.pi / 2	) ** 2

					_UpperCamelCase							 =  []
					for i in range(__snake_case	):
										_UpperCamelCase							 =  i / num_diffusion_timesteps
										_UpperCamelCase							 =  (i + 1) / num_diffusion_timesteps
										betas.append(min(1 - alpha_bar(__snake_case	) / alpha_bar(__snake_case	),     __snake_case	)	)
					return jnp.array(__snake_case,     dtype=__snake_case	)






@flax.struct.dataclass
class     _UpperCAmelCase:
		lowercase__						=      42
		lowercase__						=      42
		lowercase__						=      42



		@classmethod
		def 						UpperCAmelCase							(					cls				,		__a)       ->       List[Any]:






							'''simple docstring'''
							_UpperCamelCase							 =  scheduler.config

							if config.trained_betas is not None:
												_UpperCamelCase							 =  jnp.asarray(config.trained_betas				,		dtype=scheduler.dtype)
							elif config.beta_schedule == "linear":
												_UpperCamelCase							 =  jnp.linspace(config.beta_start				,		config.beta_end				,		config.num_train_timesteps				,		dtype=scheduler.dtype)
							elif config.beta_schedule == "scaled_linear":
												# this schedule is very specific to the latent diffusion model.
												_UpperCamelCase							 =  (
												    jnp.linspace(
												        config.beta_start**0.5				,		config.beta_end**0.5				,		config.num_train_timesteps				,		dtype=scheduler.dtype)
												    ** 2
												)
							elif config.beta_schedule == "squaredcos_cap_v2":
												# Glide cosine schedule
												_UpperCamelCase							 =  betas_for_alpha_bar(config.num_train_timesteps				,		dtype=scheduler.dtype)
							else:
												raise NotImplementedError(
												    F'''beta_schedule {config.beta_schedule} is not implemented for scheduler {scheduler.__class__.__name__}''')

							_UpperCamelCase							 =  1.0 - betas

							_UpperCamelCase							 =  jnp.cumprod(__a				,		axis=0)

							return cls(
							    alphas=__a				,		betas=__a				,		alphas_cumprod=__a				,		)





def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case,     __snake_case	)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase							 =  state.alphas_cumprod

					_UpperCamelCase							 =  alphas_cumprod[timesteps] ** 0.5
					_UpperCamelCase							 =  sqrt_alpha_prod.flatten()
					_UpperCamelCase							 =  broadcast_to_shape_from_left(__snake_case,     original_samples.shape	)

					_UpperCamelCase							 =  (1 - alphas_cumprod[timesteps]) ** 0.5
					_UpperCamelCase							 =  sqrt_one_minus_alpha_prod.flatten()
					_UpperCamelCase							 =  broadcast_to_shape_from_left(__snake_case,     original_samples.shape	)

					return sqrt_alpha_prod, sqrt_one_minus_alpha_prod



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case,     __snake_case	)							->		Dict:


					"""simple docstring"""





					_UpperCamelCase ,  _UpperCamelCase							 =  get_sqrt_alpha_prod(__snake_case,     __snake_case,     __snake_case,     __snake_case	)
					_UpperCamelCase							 =  sqrt_alpha_prod * original_samples + sqrt_one_minus_alpha_prod * noise
					return noisy_samples



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case,     __snake_case	)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase ,  _UpperCamelCase							 =  get_sqrt_alpha_prod(__snake_case,     __snake_case,     __snake_case,     __snake_case	)
					_UpperCamelCase							 =  sqrt_alpha_prod * noise - sqrt_one_minus_alpha_prod * sample
					return velocity








"""simple docstring"""





import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


_a														=		"""http://www.mocksite.com/file1.txt"""
_a														=		"""\"text\": [\"foo\", \"foo\"]"""
_a														=		"""6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"""






class     _UpperCAmelCase:
		lowercase__						=      2_00
		lowercase__						=      {'Content-Length': '100'}
		lowercase__						=      {}



		def 						UpperCAmelCase							(					self				,		**__a)       ->       Optional[int]:






							'''simple docstring'''
							return [bytes(__a				,		'''utf-8''')]





def       lowerCamelCase__		(			*__snake_case,     **__snake_case	)							->		int:


					"""simple docstring"""





					return MockResponse()



@pytest.mark.parametrize('''urls_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		Dict:


					"""simple docstring"""





					import requests

					monkeypatch.setattr(__snake_case,     '''request''',     __snake_case	)

					_UpperCamelCase							 =  URL
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  url
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [url]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': url}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  '''downloads'''
					_UpperCamelCase							 =  tmp_path
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=os.path.join(__snake_case,     __snake_case	),     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.download(__snake_case	)
					_UpperCamelCase							 =  urls
					for downloaded_paths in [downloaded_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [downloaded_paths]
															_UpperCamelCase							 =  [urls]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in downloaded_paths.keys()
															_UpperCamelCase							 =  downloaded_paths.values()
															_UpperCamelCase							 =  urls.values()
										assert downloaded_paths
										for downloaded_path, input_url in zip(__snake_case,     __snake_case	):
															assert downloaded_path == dl_manager.downloaded_paths[input_url]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  downloaded_path.parts
															assert parts[-1] == HASH
															assert parts[-2] == cache_subdir
															assert downloaded_path.exists()
															_UpperCamelCase							 =  downloaded_path.read_text()
															assert content == CONTENT
															_UpperCamelCase							 =  downloaded_path.with_suffix('''.json'''	)
															assert metadata_downloaded_path.exists()
															_UpperCamelCase							 =  json.loads(metadata_downloaded_path.read_text()	)
															assert metadata_content == {"url": URL, "etag": None}



@pytest.mark.parametrize('''paths_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase							 =  str(__snake_case	)
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  filename
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [filename]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': filename}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  xz_file.parent
					_UpperCamelCase							 =  '''extracted'''
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=__snake_case,     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.extract(__snake_case	)
					_UpperCamelCase							 =  paths
					for extracted_paths in [extracted_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [extracted_paths]
															_UpperCamelCase							 =  [paths]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in extracted_paths.keys()
															_UpperCamelCase							 =  extracted_paths.values()
															_UpperCamelCase							 =  paths.values()
										assert extracted_paths
										for extracted_path, input_path in zip(__snake_case,     __snake_case	):
															assert extracted_path == dl_manager.extracted_paths[input_path]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  extracted_path.parts
															assert parts[-1] == hash_url_to_filename(__snake_case,     etag=__snake_case	)
															assert parts[-2] == extracted_subdir
															assert extracted_path.exists()
															_UpperCamelCase							 =  extracted_path.read_text()
															_UpperCamelCase							 =  text_file.read_text()
															assert extracted_file_content == expected_file_content



def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		Optional[Any]:


					"""simple docstring"""





					assert path.endswith('''.jsonl'''	)
					for num_items, line in enumerate(__snake_case,     start=1	):
										_UpperCamelCase							 =  json.loads(line.decode('''utf-8'''	)	)
										assert item.keys() == {"col_1", "col_2", "col_3"}
					assert num_items == 4



@pytest.mark.parametrize('''archive_jsonl''',     ['''tar_jsonl_path''', '''zip_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										_test_jsonl(__snake_case,     __snake_case	)
					assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl''',     ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
															_test_jsonl(__snake_case,     __snake_case	)
					assert num_tar == 1
					assert num_jsonl == 2



def       lowerCamelCase__		(			__snake_case	)							->		Dict:


					"""simple docstring"""





					_UpperCamelCase							 =  DownloadManager()
					for num_file, file in enumerate(dl_manager.iter_files(__snake_case	),     start=1	):
										assert os.path.basename(__snake_case	) == ("test.txt" if num_file == 1 else "train.txt")
					assert num_file == 2






