


'''simple docstring'''






import multiprocessing
from typing import TYPE_CHECKING, Optional, Union

from .. import Dataset, Features, config
from ..formatting import query_table
from ..packaged_modules.sql.sql import Sql
from ..utils import logging
from .abc import AbstractDatasetInputStream


if TYPE_CHECKING:
 import sqlitea

 import sqlalchemy






class  __magic_name__							(		lowerCAmelCase    ):






       def __init__(      self  ,							snake_case  ,							snake_case  ,							snake_case = None  ,							snake_case = None  ,							snake_case = False  ,							**snake_case  ,							)						->  str:




          '''simple docstring'''
          super().__init__(features=snake_case  ,							cache_dir=snake_case  ,							keep_in_memory=snake_case  ,							**snake_case)
          _UpperCAmelCase       :       Optional[int]							   =Sql(
              cache_dir=snake_case  ,							features=snake_case  ,							sql=snake_case  ,							con=snake_case  ,							**snake_case  ,							)






       def       lowerCAmelCase		(      self)						->  Optional[int]:




          '''simple docstring'''
          _UpperCAmelCase       :       Optional[int]							   =None
          _UpperCAmelCase       :       List[str]							   =None
          _UpperCAmelCase       :       Union[str, Any]							   =None
          _UpperCAmelCase       :       Any							   =None

          self.builder.download_and_prepare(
              download_config=snake_case  ,							download_mode=snake_case  ,							verification_mode=snake_case  ,							base_path=snake_case  ,							)

          # Build dataset for splits
          _UpperCAmelCase       :       List[Any]							   =self.builder.as_dataset(
              split='train'  ,							verification_mode=snake_case  ,							in_memory=self.keep_in_memory)
          return dataset






class  __magic_name__							:






       def __init__(      self  ,							snake_case  ,							snake_case  ,							snake_case  ,							snake_case = None  ,							snake_case = None  ,							**snake_case  ,							)						->  Union[str, Any]:




          '''simple docstring'''
          if num_proc is not None and num_proc <= 0:
             raise ValueError(f"num_proc {num_proc} must be an integer > 0.")

          _UpperCAmelCase       :       List[Any]							   =dataset
          _UpperCAmelCase       :       Union[str, Any]							   =name
          _UpperCAmelCase       :       List[Any]							   =con
          _UpperCAmelCase       :       Union[str, Any]							   =batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
          _UpperCAmelCase       :       List[str]							   =num_proc
          _UpperCAmelCase       :       Any							   =to_sql_kwargs






       def       lowerCAmelCase		(      self)						->  int:




          '''simple docstring'''
          _UpperCAmelCase       :       Dict							   =self.to_sql_kwargs.pop('sql'  ,							snake_case)
          _UpperCAmelCase       :       int							   =self.to_sql_kwargs.pop('con'  ,							snake_case)
          _UpperCAmelCase       :       Any							   =self.to_sql_kwargs.pop('index'  ,							snake_case)

          _UpperCAmelCase       :       Optional[int]							   =self._write(index=snake_case  ,							**self.to_sql_kwargs)
          return written






       def       lowerCAmelCase		(      self  ,							snake_case)						->  str:




          '''simple docstring'''
          _UpperCAmelCase   ,	_UpperCAmelCase   ,	_UpperCAmelCase       :       List[Any]							   =args
          _UpperCAmelCase       :       Optional[Any]							   ={**to_sql_kwargs, 'if_exists': 'append'} if offset > 0 else to_sql_kwargs
          _UpperCAmelCase       :       str							   =query_table(
              table=self.dataset.data  ,							key=slice(snake_case  ,							offset + self.batch_size)  ,							indices=self.dataset._indices  ,							)
          _UpperCAmelCase       :       int							   =batch.to_pandas()
          _UpperCAmelCase       :       str							   =df.to_sql(self.name  ,							self.con  ,							index=snake_case  ,							**snake_case)
          return num_rows or len(snake_case)






       def       lowerCAmelCase		(      self  ,							snake_case  ,							**snake_case)						->  int:




          '''simple docstring'''
          _UpperCAmelCase       :       Optional[Any]							   =0

          if self.num_proc is None or self.num_proc == 1:
             for offset in logging.tqdm(
                 range(0  ,							len(self.dataset)  ,							self.batch_size)  ,							unit='ba'  ,							disable=not logging.is_progress_bar_enabled()  ,							desc='Creating SQL from Arrow format'  ,							):
                written += self._batch_sql((offset, index, to_sql_kwargs))
          else:
             _UpperCAmelCase   ,	_UpperCAmelCase       :       List[Any]							   =len(self.dataset), self.batch_size
             with multiprocessing.Pool(self.num_proc) as pool:
                for num_rows in logging.tqdm(
                    pool.imap(
                        self._batch_sql  ,							[(offset, index, to_sql_kwargs) for offset in range(0  ,							snake_case  ,							snake_case)]  ,							)  ,							total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size  ,							unit='ba'  ,							disable=not logging.is_progress_bar_enabled()  ,							desc='Creating SQL from Arrow format'  ,							):
                   written += num_rows

          return written





'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase							=logging.get_logger(__name__)

lowercase							={
    'facebook/levit-128S': 'https://huggingface.co/facebook/levit-128S/resolve/main/config.json',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										="levit"






       def __init__(      self  ,							snake_case=2_2_4  ,							snake_case=3  ,							snake_case=3  ,							snake_case=2  ,							snake_case=1  ,							snake_case=1_6  ,							snake_case=[1_2_8, 2_5_6, 3_8_4]  ,							snake_case=[4, 8, 1_2]  ,							snake_case=[4, 4, 4]  ,							snake_case=[1_6, 1_6, 1_6]  ,							snake_case=0  ,							snake_case=[2, 2, 2]  ,							snake_case=[2, 2, 2]  ,							snake_case=0.02  ,							**snake_case  ,							)						->  Any:




          '''simple docstring'''
          super().__init__(**snake_case)
          _UpperCAmelCase       :       List[str]							   =image_size
          _UpperCAmelCase       :       str							   =num_channels
          _UpperCAmelCase       :       int							   =kernel_size
          _UpperCAmelCase       :       Any							   =stride
          _UpperCAmelCase       :       Tuple							   =padding
          _UpperCAmelCase       :       Optional[int]							   =hidden_sizes
          _UpperCAmelCase       :       List[str]							   =num_attention_heads
          _UpperCAmelCase       :       List[Any]							   =depths
          _UpperCAmelCase       :       Any							   =key_dim
          _UpperCAmelCase       :       List[Any]							   =drop_path_rate
          _UpperCAmelCase       :       int							   =patch_size
          _UpperCAmelCase       :       Tuple							   =attention_ratio
          _UpperCAmelCase       :       Any							   =mlp_ratio
          _UpperCAmelCase       :       Optional[Any]							   =initializer_range
          _UpperCAmelCase       :       str							   =[
              ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
              ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
          ]






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										=version.parse("1.11"    )






       @property
       def       lowerCAmelCase		(      self)						->  Mapping[str, Mapping[int, str]]:




          '''simple docstring'''
          return OrderedDict(
              [
                  ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
              ])






       @property
       def       lowerCAmelCase		(      self)						->  float:




          '''simple docstring'''
          return 1E-4

