





from manim import *







class 	__lowerCAmelCase      (       __a	):





   def 						_snake_case			(			self   )					->	List[str]:
      """simple docstring"""





      a__						:    str   		=	Rectangle(height=0.5       ,      width=0.5   )
      a__						:    int   		=	Rectangle(height=0.46       ,      width=0.46   ).set_stroke(width=0   )

      a__						:    Optional[int]   		=	[mem.copy() for i in range(6   )]
      a__						:    Optional[int]   		=	[mem.copy() for i in range(6   )]
      a__						:    int   		=	VGroup(*_lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0   )
      a__						:    str   		=	VGroup(*_lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0   )
      a__						:    Any   		=	VGroup(_lowerCamelCase       ,      _lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0   )
      a__						:    Dict   		=	Text("CPU"       ,      font_size=24   )
      a__						:    Dict   		=	Group(_lowerCamelCase       ,      _lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0.5       ,      aligned_edge=_lowerCamelCase   )
      cpu.move_to([-2.5, -0.5, 0]   )
      self.add(_lowerCamelCase   )

      a__						:    Tuple   		=	[mem.copy() for i in range(1   )]
      a__						:    int   		=	VGroup(*_lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0   )
      a__						:    Tuple   		=	Text("GPU"       ,      font_size=24   )
      a__						:    List[Any]   		=	Group(_lowerCamelCase       ,      _lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0.5       ,      aligned_edge=_lowerCamelCase   )
      gpu.align_to(_lowerCamelCase       ,      _lowerCamelCase   )
      gpu.set_x(gpu.get_x() - 1   )

      self.add(_lowerCamelCase   )

      a__						:    int   		=	[mem.copy() for i in range(6   )]
      a__						:    Optional[int]   		=	VGroup(*_lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0   )

      a__						:    Union[str, Any]   		=	Text("Model"       ,      font_size=24   )
      a__						:    Any   		=	Group(_lowerCamelCase       ,      _lowerCamelCase   ).arrange(_lowerCamelCase       ,      buff=0.5       ,      aligned_edge=_lowerCamelCase   )
      model.move_to([3, -1.0, 0]   )

      self.play(
          Create(_lowerCamelCase       ,      run_time=1   )       ,      Create(_lowerCamelCase       ,      run_time=1   )       ,      Create(_lowerCamelCase       ,      run_time=1   )       ,      )

      a__						:    Union[str, Any]   		=	MarkupText(
          F"""First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM."""       ,      font_size=24       ,      )

      a__						:    List[str]   		=	Square(side_length=2.2   )
      key.move_to([-5, 2, 0]   )

      a__						:    Dict   		=	MarkupText(
          F"""<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model"""       ,      font_size=18       ,      )

      key_text.move_to([-5, 2.4, 0]   )

      step_a.move_to([2, 2, 0]   )
      self.play(Write(_lowerCamelCase       ,      run_time=2.5   )       ,      Write(_lowerCamelCase   )       ,      Write(_lowerCamelCase   )   )

      self.add(_lowerCamelCase   )

      a__						:    int   		=	[]
      a__						:    Optional[int]   		=	[]
      a__						:    List[Any]   		=	[]
      for i, rect in enumerate(_lowerCamelCase   ):
         a__						:    Optional[int]   		=	Rectangle(height=0.46       ,      width=0.46   ).set_stroke(width=0.0   ).set_fill(_lowerCamelCase       ,      opacity=0.7   )
         cpu_target.move_to(_lowerCamelCase   )
         cpu_target.generate_target()
         a__						:    List[Any]   		=	0.46 / 4
         a__						:    List[str]   		=	0.46 / 3

         if i == 0:
            cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT   )       ,      buff=0.02       ,      direction=_lowerCamelCase   )
            cpu_target.target.set_x(cpu_target.target.get_x() + 0.1   )
         elif i == 3:
            cpu_target.target.next_to(cpu_targs[0].target       ,      direction=_lowerCamelCase       ,      buff=0.0   )
         else:
            cpu_target.target.next_to(cpu_targs[i - 1].target       ,      direction=_lowerCamelCase       ,      buff=0.0   )
         cpu_targs.append(_lowerCamelCase   )

         first_animations.append(rect.animate(run_time=0.5   ).set_stroke(_lowerCamelCase   )   )
         second_animations.append(MoveToTarget(_lowerCamelCase       ,      run_time=1.5   )   )

      self.play(*_lowerCamelCase   )
      self.play(*_lowerCamelCase   )

      self.wait()



"""simple docstring"""






import os
from tempfile import TemporaryDirectory
from unittest import TestCase

import pytest
from absl.testing import parameterized

from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from datasets.iterable_dataset import IterableDataset
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.file_utils import cached_path


_lowercase							=				[
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.de'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.en'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.fr'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.frr'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.it'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.simple'''},
    {'''dataset''': '''snli''', '''config_name''': '''plain_text'''},
    {'''dataset''': '''eli5''', '''config_name''': '''LFQA_reddit'''},
    {'''dataset''': '''wiki40b''', '''config_name''': '''en'''},
    {'''dataset''': '''wiki_dpr''', '''config_name''': '''psgs_w100.nq.compressed'''},
    {'''dataset''': '''wiki_dpr''', '''config_name''': '''psgs_w100.nq.no_index'''},
    {'''dataset''': '''wiki_dpr''', '''config_name''': '''psgs_w100.multiset.no_index'''},
    {'''dataset''': '''natural_questions''', '''config_name''': '''default'''},
]



def      lowerCAmelCase__			(		__magic_name__=True      )						->int:
			if with_config:
						return [
						    {
						        "testcase_name": d["dataset"] + "/" + d["config_name"],
						        "dataset": d["dataset"],
						        "config_name": d["config_name"],
						    }
						    for d in DATASETS_ON_HF_GCP
						]
			else:
						return [
						    {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP}
						]

@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=__a       )       )
class 					__a     ( __a       ):



							'''simple docstring'''







							_lowerCamelCase					:			int          =   None
							_lowerCamelCase					:			int          =   None
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase       )			->							Optional[Any]:




										'''simple docstring'''
										with TemporaryDirectory() as tmp_dir:
													__lowercase       =       dataset_module_factory(_lowerCamelCase  ,    cache_dir=_lowerCamelCase       )

													__lowercase       =       import_main_class(dataset_module.module_path  ,    dataset=_lowerCamelCase       )

													__lowercase       =       builder_cls(
													    cache_dir=_lowerCamelCase  ,    config_name=_lowerCamelCase  ,    hash=dataset_module.hash  ,    )

													__lowercase       =       "/".join(
													    [
													        HF_GCP_BASE_URL,
													        builder_instance._relative_data_dir(with_hash=_lowerCamelCase       ).replace(os.sep  ,    "/"       ),
													        config.DATASET_INFO_FILENAME,
													    ]       )
													__lowercase       =       cached_path(_lowerCamelCase  ,    cache_dir=_lowerCamelCase       )
													self.assertTrue(os.path.exists(_lowerCamelCase       )       )





@pytest.mark.integration
def      lowerCAmelCase__			(		__magic_name__      )						->str:
			__lowercase       =       tmp_path_factory.mktemp("test_hf_gcp"      ) / "test_wikipedia_simple"
			__lowercase       =       dataset_module_factory("wikipedia"			,   cache_dir=__magic_name__      )
			__lowercase       =       import_main_class(dataset_module.module_path      )
			__lowercase       =       builder_cls(
			    cache_dir=__magic_name__			,   config_name="20220301.frr"			,   hash=dataset_module.hash			,   )
			# use the HF cloud storage, not the original download_and_prepare that uses apache-beam
			__lowercase       =       None
			builder_instance.download_and_prepare()
			__lowercase       =       builder_instance.as_dataset()
			assert ds







@pytest.mark.integration
def      lowerCAmelCase__			(		__magic_name__      )						->Any:
			__lowercase       =       dataset_module_factory("wikipedia"			,   cache_dir=__magic_name__      )
			__lowercase       =       import_main_class(dataset_module.module_path			,   dataset=__magic_name__      )
			__lowercase       =       builder_cls(
			    cache_dir=__magic_name__			,   config_name="20220301.frr"			,   hash=dataset_module.hash			,   )
			__lowercase       =       builder_instance.as_streaming_dataset()
			assert ds
			assert isinstance(__magic_name__			,   __magic_name__      )
			assert "train" in ds
			assert isinstance(ds["train"]			,   __magic_name__      )
			assert next(iter(ds["train"]      )      )





