






'''simple docstring'''





import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING

import numpy as np
import pyarrow as pa

from .. import config
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter


if TYPE_CHECKING:
	import torch
class 				lowercase       (							TensorFormatter[Mapping, "torch.Tensor", Mapping]      ):


				'''simple docstring'''

				def __init__(					self     :     Optional[int]				,     __lowerCamelCase     :     int=None				,     **__lowerCamelCase     :     List[str]     )							->							Union[str, Any]:

					'''simple docstring'''




					super().__init__(features=__lowerCamelCase     )
					lowerCamelCase__  =     torch_tensor_kwargs
					import torch  # noqa import torch at initialization

				def    a__				(					self     :     Tuple				,     __lowerCamelCase     :     List[str]     )							->							Union[str, Any]:

					'''simple docstring'''




					import torch

					if isinstance(__lowerCamelCase				,     __lowerCamelCase     ) and column:
						if all(
						    isinstance(__lowerCamelCase				,     torch.Tensor     ) and x.shape == column[0].shape and x.dtype == column[0].dtype
						    for x in column     ):
							return torch.stack(__lowerCamelCase     )
					return column

				def    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     Optional[Any]     )							->							Any:

					'''simple docstring'''




					import torch

					if isinstance(__lowerCamelCase				,     (str, bytes, type(__lowerCamelCase     ))     ):
						return value
					elif isinstance(__lowerCamelCase				,     (np.character, np.ndarray)     ) and np.issubdtype(value.dtype				,     np.character     ):
						return value.tolist()

					lowerCamelCase__  =     {}

					if isinstance(__lowerCamelCase				,     (np.number, np.ndarray)     ) and np.issubdtype(value.dtype				,     np.integer     ):
						lowerCamelCase__  =     {"dtype": torch.intaa}
					elif isinstance(__lowerCamelCase				,     (np.number, np.ndarray)     ) and np.issubdtype(value.dtype				,     np.floating     ):
						lowerCamelCase__  =     {"dtype": torch.floataa}
					elif config.PIL_AVAILABLE and "PIL" in sys.modules:
						import PIL.Image

						if isinstance(__lowerCamelCase				,     PIL.Image.Image     ):
							lowerCamelCase__  =     np.asarray(__lowerCamelCase     )
					return torch.tensor(__lowerCamelCase				,     **{**default_dtype, **self.torch_tensor_kwargs}     )

				def    a__				(					self     :     int				,     __lowerCamelCase     :     Dict     )							->							Any:

					'''simple docstring'''




					import torch

					# support for torch, tf, jax etc.
					if hasattr(__lowerCamelCase				,     "__array__"     ) and not isinstance(__lowerCamelCase				,     torch.Tensor     ):
						lowerCamelCase__  =     data_struct.__array__()
					# support for nested types like struct of list of struct
					if isinstance(__lowerCamelCase				,     np.ndarray     ):
						if data_struct.dtype == object:  # torch tensors cannot be instantied from an array of objects
							return self._consolidate([self.recursive_tensorize(__lowerCamelCase     ) for substruct in data_struct]     )
					elif isinstance(__lowerCamelCase				,     (list, tuple)     ):
						return self._consolidate([self.recursive_tensorize(__lowerCamelCase     ) for substruct in data_struct]     )
					return self._tensorize(__lowerCamelCase     )

				def    a__				(					self     :     Tuple				,     __lowerCamelCase     :     dict     )							->							Tuple:

					'''simple docstring'''




					return map_nested(self._recursive_tensorize				,     __lowerCamelCase				,     map_list=__lowerCamelCase     )

				def    a__				(					self     :     Dict				,     __lowerCamelCase     :     pa.Table     )							->							Mapping:

					'''simple docstring'''




					lowerCamelCase__  =     self.numpy_arrow_extractor().extract_row(__lowerCamelCase     )
					lowerCamelCase__  =     self.python_features_decoder.decode_row(__lowerCamelCase     )
					return self.recursive_tensorize(__lowerCamelCase     )

				def    a__				(					self     :     List[Any]				,     __lowerCamelCase     :     pa.Table     )							->							"torch.Tensor":

					'''simple docstring'''




					lowerCamelCase__  =     self.numpy_arrow_extractor().extract_column(__lowerCamelCase     )
					lowerCamelCase__  =     self.python_features_decoder.decode_column(__lowerCamelCase				,     pa_table.column_names[0]     )
					lowerCamelCase__  =     self.recursive_tensorize(__lowerCamelCase     )
					lowerCamelCase__  =     self._consolidate(__lowerCamelCase     )
					return column




				def    a__				(					self     :     Optional[int]				,     __lowerCamelCase     :     pa.Table     )							->							Mapping:

					'''simple docstring'''




					lowerCamelCase__  =     self.numpy_arrow_extractor().extract_batch(__lowerCamelCase     )
					lowerCamelCase__  =     self.python_features_decoder.decode_batch(__lowerCamelCase     )
					lowerCamelCase__  =     self.recursive_tensorize(__lowerCamelCase     )
					for column_name in batch:
						lowerCamelCase__  =     self._consolidate(batch[column_name]     )
					return batch









'''simple docstring'''





class 				lowercase       :


    '''simple docstring'''

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

     '''simple docstring'''




     lowerCamelCase__  =     {}  # Mapping from char to TrieNode
     lowerCamelCase__  =     False

    def    a__				(					self     :     List[Any]				,     __lowerCamelCase     :     list[str]     )							->							None:

     '''simple docstring'''




     for word in words:
      self.insert(__lowerCamelCase     )

    def    a__				(					self     :     int				,     __lowerCamelCase     :     str     )							->							None:

     '''simple docstring'''




     lowerCamelCase__  =     self
     for char in word:
      if char not in curr.nodes:
       lowerCamelCase__  =     TrieNode()
      lowerCamelCase__  =     curr.nodes[char]
     lowerCamelCase__  =     True

    def    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     str     )							->							bool:

     '''simple docstring'''




     lowerCamelCase__  =     self
     for char in word:
      if char not in curr.nodes:
       return False
      lowerCamelCase__  =     curr.nodes[char]
     return curr.is_leaf




    def    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     str     )							->							None:

     '''simple docstring'''




     def _delete(__lowerCamelCase     :     TrieNode				,     __lowerCamelCase     :     str				,     __lowerCamelCase     :     int     ) -> bool:
      if index == len(__lowerCamelCase     ):
       # If word does not exist
       if not curr.is_leaf:
        return False
       lowerCamelCase__  =     False
       return len(curr.nodes     ) == 0
      lowerCamelCase__  =     word[index]
      lowerCamelCase__  =     curr.nodes.get(__lowerCamelCase     )
      # If char not in current trie node
      if not char_node:
       return False
      # Flag to check if node can be deleted
      lowerCamelCase__  =     _delete(__lowerCamelCase				,     __lowerCamelCase				,     index + 1     )
      if delete_curr:
       del curr.nodes[char]
       return len(curr.nodes     ) == 0
      return delete_curr

     _delete(self				,     __lowerCamelCase				,     0     )






def    lowerCamelCase_     (    lowercase__				,     lowercase__):
 if node.is_leaf:
  print(lowercase__				,     end=" ")

 for key, value in node.nodes.items():
  print_words(lowercase__				,     word + key)






def    lowerCamelCase_     (    ):
 lowerCamelCase__  =     "banana bananas bandana band apple all beast".split()
 lowerCamelCase__  =     TrieNode()
 root.insert_many(lowercase__)
 # print_words(root, "")
 assert all(root.find(lowercase__) for word in words)
 assert root.find("banana")
 assert not root.find("bandanas")
 assert not root.find("apps")
 assert root.find("apple")
 assert root.find("all")
 root.delete("all")
 assert not root.find("all")
 root.delete("banana")
 assert not root.find("banana")
 assert root.find("bananas")
 return True






def    lowerCamelCase_     (    lowercase__				,     lowercase__):
 print(str(lowercase__)				,     "works!" if passes else "doesn't work :(")






def    lowerCamelCase_     (    ):
 assert test_trie()






def    lowerCamelCase_     (    ):
 print_results("Testing trie functionality"				,     test_trie())


if __name__ == "__main__":
 main()

