




# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


lowerCamelCase				:		Optional[Any]     =   logging.get_logger(__name__)

lowerCamelCase				:		Dict[Optional[str], Type[Formatter]]     =   {}
lowerCamelCase				:		Dict[Optional[str], str]     =   {}
lowerCamelCase				:		Dict[Optional[str], Exception]     =   {}

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       type	,							lowercase	:       Optional[str]	,							lowercase	:       Optional[List[str]] = None	,							):


      '''simple docstring'''



      lowerCamelCase_		     =    aliases if aliases is not None else []
      if format_type in _FORMAT_TYPES:
            logger.warning(
                f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""     )
      lowerCamelCase_		     =    formatter_cls
      for alias in set(aliases + [format_type]     ):
            if alias in _FORMAT_TYPES_ALIASES:
                  logger.warning(
                      f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""     )
            lowerCamelCase_		     =    format_type

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Exception	,							lowercase	:       Optional[str]	,							lowercase	:       Optional[List[str]] = None     ):


      '''simple docstring'''



      lowerCamelCase_		     =    aliases if aliases is not None else []
      for alias in set(aliases + [format_type]     ):
            lowerCamelCase_		     =    unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=["python"])
_register_formatter(ArrowFormatter, "arrow", aliases=["pa", "pyarrow"])
_register_formatter(NumpyFormatter, "numpy", aliases=["np"])
_register_formatter(PandasFormatter, "pandas", aliases=["pd"])
_register_formatter(CustomFormatter, "custom")

if config.TORCH_AVAILABLE:
 from .torch_formatter import TorchFormatter

 _register_formatter(TorchFormatter, "torch", aliases=["pt", "pytorch"])
else:
 lowerCamelCase				:		Tuple     =   ValueError("PyTorch needs to be installed to be able to return PyTorch tensors.")
 _register_unavailable_formatter(_torch_error, "torch", aliases=["pt", "pytorch"])

if config.TF_AVAILABLE:
 from .tf_formatter import TFFormatter

 _register_formatter(TFFormatter, "tensorflow", aliases=["tf"])
else:
 lowerCamelCase				:		int     =   ValueError("Tensorflow needs to be installed to be able to return Tensorflow tensors.")
 _register_unavailable_formatter(_tf_error, "tensorflow", aliases=["tf"])

if config.JAX_AVAILABLE:
 from .jax_formatter import JaxFormatter

 _register_formatter(JaxFormatter, "jax", aliases=[])
else:
 lowerCamelCase				:		List[str]     =   ValueError("JAX needs to be installed to be able to return JAX arrays.")
 _register_unavailable_formatter(_jax_error, "jax", aliases=[])

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[str]     ):


      '''simple docstring'''



      if format_type in _FORMAT_TYPES_ALIASES:
            return _FORMAT_TYPES_ALIASES[format_type]
      else:
            return format_type






def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[str]	,							**lowercase	:       Any     ):


      '''simple docstring'''



      lowerCamelCase_		     =    get_format_type_from_alias(lowercase     )
      if format_type in _FORMAT_TYPES:
            return _FORMAT_TYPES[format_type](**lowercase     )
      if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
            raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
      else:
            raise ValueError(
                f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None     )}, but got '{format_type}'"""     )









from collections.abc import Callable

import numpy as np

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Callable	,							lowercase	:       float	,							lowercase	:       float	,							lowercase	:       float	,							lowercase	:       float     ):


      '''simple docstring'''



      lowerCamelCase_		     =    int(np.ceil((x_end - xa) / step_size     )     )
      lowerCamelCase_		     =    np.zeros((n + 1,)     )
      lowerCamelCase_		     =    ya
      lowerCamelCase_		     =    xa

      for k in range(lowercase     ):
            lowerCamelCase_		     =    y[k] + step_size * ode_func(lowercase	,							y[k]     )
            lowerCamelCase_		     =    y[k] + (
                (step_size / 2) * (ode_func(lowercase	,							y[k]     ) + ode_func(x + step_size	,							lowercase     ))
            )
            x += step_size

      return y


if __name__ == "__main__":
 import doctest

 doctest.testmod()



