import os
import pathlib
import tempfile
import uuid

import numpy as np

from ..utils import is_soundfile_availble, is_torch_available, is_vision_available, logging


__SCREAMING_SNAKE_CASE						:    Optional[int]     = logging.get_logger(__name__)

if is_vision_available():
				import PIL.Image
				from PIL import Image
				from PIL.Image import Image as ImageType
else:
				__SCREAMING_SNAKE_CASE						:    Tuple     = object

if is_torch_available():
				import torch

if is_soundfile_availble():
				import soundfile as sf



class    lowercase_    :



							def __init__(						self      ,				lowercase_				):
													_snake_case						:     Dict				=    value



							def __str__(						self				):
													return self.to_string()



							def        UpperCamelCase       (						self				):
													logger.error(
													    "This is a raw AgentType of unknown type. Display in notebooks and string conversion will be unreliable"				)
													return self._value



							def        UpperCamelCase       (						self				):
													logger.error(
													    "This is a raw AgentType of unknown type. Display in notebooks and string conversion will be unreliable"				)
													return str(self._value				)




class    lowercase_    (     __snake_case						, __snake_case		):



							def        UpperCamelCase       (						self				):
													return self._value



							def        UpperCamelCase       (						self				):
													return self._value




class    lowercase_    (     __snake_case						, __snake_case		):



							def __init__(						self      ,				lowercase_				):
													super().__init__(lowercase_				)

													if not is_vision_available():
																			raise ImportError("PIL must be installed in order to handle images."				)

													_snake_case						:     Union[str, Any]				=    None
													_snake_case						:     Optional[int]				=    None
													_snake_case						:     Union[str, Any]				=    None

													if isinstance(lowercase_      ,				lowercase_				):
																			_snake_case						:     str				=    value
													elif isinstance(lowercase_      ,				(str, pathlib.Path)				):
																			_snake_case						:     Optional[int]				=    value
													elif isinstance(lowercase_      ,				torch.Tensor				):
																			_snake_case						:     Union[str, Any]				=    value
													else:
																			raise ValueError(f"""Unsupported type for {self.__class__.__name__}: {type(lowercase_				)}"""				)



							def        UpperCamelCase       (						self      ,				lowercase_=None      ,				lowercase_=None				):
													from IPython.display import Image, display

													display(Image(self.to_string()				)				)



							def        UpperCamelCase       (						self				):
													if self._raw is not None:
																			return self._raw

													if self._path is not None:
																			_snake_case						:     Any				=    Image.open(self._path				)
																			return self._raw



							def        UpperCamelCase       (						self				):
													if self._path is not None:
																			return self._path

													if self._raw is not None:
																			_snake_case						:     Union[str, Any]				=    tempfile.mkdtemp()
																			_snake_case						:     int				=    os.path.join(lowercase_      ,				str(uuid.uuida()				) + ".png"				)
																			self._raw.save(self._path				)

																			return self._path

													if self._tensor is not None:
																			_snake_case						:     str				=    self._tensor.cpu().detach().numpy()

																			# There is likely simpler than load into image into save
																			_snake_case						:     Union[str, Any]				=    Image.fromarray((array * 255).astype(np.uinta				)				)

																			_snake_case						:     Optional[Any]				=    tempfile.mkdtemp()
																			_snake_case						:     Tuple				=    os.path.join(lowercase_      ,				str(uuid.uuida()				) + ".png"				)

																			img.save(self._path				)

																			return self._path




class    lowercase_    (     __snake_case		):



							def __init__(						self      ,				lowercase_      ,				lowercase_=16_000				):
													super().__init__(lowercase_				)

													if not is_soundfile_availble():
																			raise ImportError("soundfile must be installed in order to handle audio."				)

													_snake_case						:     List[str]				=    None
													_snake_case						:     Union[str, Any]				=    None

													_snake_case						:     Any				=    samplerate

													if isinstance(lowercase_      ,				(str, pathlib.Path)				):
																			_snake_case						:     Union[str, Any]				=    value
													elif isinstance(lowercase_      ,				torch.Tensor				):
																			_snake_case						:     int				=    value
													else:
																			raise ValueError(f"""Unsupported audio type: {type(lowercase_				)}"""				)



							def        UpperCamelCase       (						self      ,				lowercase_=None      ,				lowercase_=None				):
													from IPython.display import Audio, display

													display(Audio(self.to_string()      ,				rate=self.samplerate				)				)



							def        UpperCamelCase       (						self				):
													if self._tensor is not None:
																			return self._tensor

													if self._path is not None:
																			_snake_case				,_snake_case						:     List[str]				=    sf.read(self._path				)
																			_snake_case						:     Optional[int]				=    torch.tensor(lowercase_				)
																			return self._tensor



							def        UpperCamelCase       (						self				):
													if self._path is not None:
																			return self._path

													if self._tensor is not None:
																			_snake_case						:     Any				=    tempfile.mkdtemp()
																			_snake_case						:     Optional[Any]				=    os.path.join(lowercase_      ,				str(uuid.uuida()				) + ".wav"				)
																			sf.write(self._path      ,				self._tensor      ,				samplerate=self.samplerate				)
																			return self._path




__SCREAMING_SNAKE_CASE						:    Union[str, Any]     = {'text': AgentText, 'image': AgentImage, 'audio': AgentAudio}
__SCREAMING_SNAKE_CASE						:    Union[str, Any]     = {str: AgentText}

if is_vision_available():
				__SCREAMING_SNAKE_CASE						:    List[Any]     = AgentImage
def 					snake_case						(*__lowercase					,			**__lowercase						)       ->       List[Any]:

						'''simple docstring'''



						_snake_case						:     str				=    [(arg.to_raw() if isinstance(__lowercase					,			__lowercase						) else arg) for arg in args]
						_snake_case						:     Optional[Any]				=    {k: (v.to_raw() if isinstance(__lowercase					,			__lowercase						) else v) for k, v in kwargs.items()}
						return args, kwargs

def 					snake_case						(__lowercase					,			__lowercase=None						)       ->       Union[str, Any]:

						'''simple docstring'''



						if isinstance(__lowercase					,			__lowercase						):
												_snake_case						:     List[Any]				=    {}
												for i, (k, v) in enumerate(outputs.items()						):
																		if output_types is not None:
																								# If the class has defined outputs, we can map directly according to the class definition
																								if output_types[i] in AGENT_TYPE_MAPPING:
																														_snake_case						:     Optional[int]				=    AGENT_TYPE_MAPPING[output_types[i]](__lowercase						)
																								else:
																														_snake_case						:     List[Any]				=    AgentType(__lowercase						)

																		else:
																								# If the class does not have defined output, then we map according to the type
																								for _k, _v in INSTANCE_TYPE_MAPPING.items():
																														if isinstance(__lowercase					,			_k						):
																																				_snake_case						:     Optional[int]				=    _v(__lowercase						)
																								if k not in decoded_outputs:
																														_snake_case						:     str				=    AgentType[v]

						elif isinstance(__lowercase					,			(list, tuple)						):
												_snake_case						:     int				=    type(__lowercase						)()
												for i, v in enumerate(__lowercase						):
																		if output_types is not None:
																								# If the class has defined outputs, we can map directly according to the class definition
																								if output_types[i] in AGENT_TYPE_MAPPING:
																														decoded_outputs.append(AGENT_TYPE_MAPPING[output_types[i]](__lowercase						)						)
																								else:
																														decoded_outputs.append(AgentType(__lowercase						)						)
																		else:
																								# If the class does not have defined output, then we map according to the type
																								_snake_case						:     str				=    False
																								for _k, _v in INSTANCE_TYPE_MAPPING.items():
																														if isinstance(__lowercase					,			_k						):
																																				decoded_outputs.append(_v(__lowercase						)						)
																																				_snake_case						:     int				=    True

																								if not found:
																														decoded_outputs.append(AgentType(__lowercase						)						)

						else:
												if output_types[0] in AGENT_TYPE_MAPPING:
																		# If the class has defined outputs, we can map directly according to the class definition
																		_snake_case						:     str				=    AGENT_TYPE_MAPPING[output_types[0]](__lowercase						)

												else:
																		# If the class does not have defined output, then we map according to the type
																		for _k, _v in INSTANCE_TYPE_MAPPING.items():
																								if isinstance(__lowercase					,			_k						):
																														return _v(__lowercase						)
																		return AgentType(__lowercase						)

						return decoded_outputs



class lowerCAmelCase_						:

 '''simple docstring'''

 def __init__(	self		,      _UpperCAmelCase					):
       snake_case_       =      val
       # Number of nodes in left subtree
       snake_case_       =      0
       snake_case_       =      None
       snake_case_       =      None
       snake_case_       =      None





 def 						UpperCamelCase__     (	self		,      _UpperCAmelCase					):
       assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

       if self.val < other.val:
             snake_case_       =      self.right
             snake_case_       =      None
             if self.right:
                   snake_case_       =      other
             snake_case_       =      other
             snake_case_       =      self.left_tree_size * 2 + 1
             return self
       else:
             snake_case_       =      other.right
             snake_case_       =      None
             if other.right:
                   snake_case_       =      self
             snake_case_       =      self
             snake_case_       =      other.left_tree_size * 2 + 1
             return other







class lowerCAmelCase_						:

 '''simple docstring'''

 def __init__(	self		,      _UpperCAmelCase=None		,      _UpperCAmelCase=None		,      _UpperCAmelCase=0					):
       snake_case_       =      heap_size
       snake_case_       =      bottom_root
       snake_case_       =      min_node



 def 						UpperCamelCase__     (	self		,      _UpperCAmelCase					):

       # Empty heaps corner cases
       if other.size == 0:
             return None
       if self.size == 0:
             snake_case_       =      other.size
             snake_case_       =      other.bottom_root
             snake_case_       =      other.min_node
             return None
       # Update size
       snake_case_       =      self.size + other.size

       # Update min.node
       if self.min_node.val > other.min_node.val:
             snake_case_       =      other.min_node
       # Merge

       # Order roots by left_subtree_size
       snake_case_       =      []
       snake_case_       ,    snake_case_       =      self.bottom_root, other.bottom_root
       while i or j:
             if i and ((not j) or i.left_tree_size < j.left_tree_size):
                   combined_roots_list.append((i, True)					)
                   snake_case_       =      i.parent
             else:
                   combined_roots_list.append((j, False)					)
                   snake_case_       =      j.parent
        # Insert links between them
       for i in range(len(_UpperCAmelCase					) - 1					):
             if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
                   snake_case_       =      combined_roots_list[i + 1][0]
                   snake_case_       =      combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
       snake_case_       =      combined_roots_list[0][0]
       while i.parent:
             if (
                 (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
             ) or (
                 i.left_tree_size == i.parent.left_tree_size
                 and i.left_tree_size != i.parent.parent.left_tree_size
             ):
                   # Neighbouring Nodes
                   snake_case_       =      i.left
                   snake_case_       =      i.parent.parent

                   # Merging trees
                   snake_case_       =      i.merge_trees(i.parent					)

                   # Updating links
                   snake_case_       =      previous_node
                   snake_case_       =      next_node
                   if previous_node:
                         snake_case_       =      i
                   if next_node:
                         snake_case_       =      i
             else:
                   snake_case_       =      i.parent
        # Updating self.bottom_root
       while i.left:
             snake_case_       =      i.left
       snake_case_       =      i

       # Update other
       snake_case_       =      self.size
       snake_case_       =      self.bottom_root
       snake_case_       =      self.min_node

       # Return the merged heap
       return self



 def 						UpperCamelCase__     (	self		,      _UpperCAmelCase					):
       if self.size == 0:
             snake_case_       =      Node(_UpperCAmelCase					)
             snake_case_       =      1
             snake_case_       =      self.bottom_root
       else:
             # Create new node
             snake_case_       =      Node(_UpperCAmelCase					)

             # Update size
             self.size += 1

             # update min_node
             if val < self.min_node.val:
                   snake_case_       =      new_node
             # Put new_node as a bottom_root in heap
             snake_case_       =      new_node
             snake_case_       =      self.bottom_root
             snake_case_       =      new_node

             # Consecutively merge roots with same left_tree_size
             while (
                 self.bottom_root.parent
                 and self.bottom_root.left_tree_size
                 == self.bottom_root.parent.left_tree_size
             ):
                   # Next node
                   snake_case_       =      self.bottom_root.parent.parent

                   # Merge
                   snake_case_       =      self.bottom_root.merge_trees(self.bottom_root.parent					)

                   # Update Links
                   snake_case_       =      next_node
                   snake_case_       =      None
                   if next_node:
                         snake_case_       =      self.bottom_root



 def 						UpperCamelCase__     (	self					):
       return self.min_node.val



 def 						UpperCamelCase__     (	self					):
       return self.size == 0



 def 						UpperCamelCase__     (	self					):
       snake_case_       =      self.min_node.val

       # Last element in heap corner case
       if self.size == 1:
             # Update size
             snake_case_       =      0

             # Update bottom root
             snake_case_       =      None

             # Update min_node
             snake_case_       =      None

             return min_value
       # No right subtree corner case
       # The structure of the tree implies that this should be the bottom root
       # and there is at least one other root
       if self.min_node.right is None:
             # Update size
             self.size -= 1

             # Update bottom root
             snake_case_       =      self.bottom_root.parent
             snake_case_       =      None

             # Update min_node
             snake_case_       =      self.bottom_root
             snake_case_       =      self.bottom_root.parent
             while i:
                   if i.val < self.min_node.val:
                         snake_case_       =      i
                   snake_case_       =      i.parent
             return min_value
       # General case
       # Find the BinomialHeap of the right subtree of min_node
       snake_case_       =      self.min_node.right
       snake_case_       =      None
       snake_case_       =      bottom_of_new
       snake_case_       =      1

       # Size, min_node and bottom_root
       while bottom_of_new.left:
             snake_case_       =      size_of_new * 2 + 1
             snake_case_       =      bottom_of_new.left
             if bottom_of_new.val < min_of_new.val:
                   snake_case_       =      bottom_of_new
        # Corner case of single root on top left path
       if (not self.min_node.left) and (not self.min_node.parent):
             snake_case_       =      size_of_new
             snake_case_       =      bottom_of_new
             snake_case_       =      min_of_new
             # print("Single root, multiple nodes case")
             return min_value
       # Remaining cases
       # Construct heap of right subtree
       snake_case_       =      BinomialHeap(
           bottom_root=_UpperCAmelCase		,      min_node=_UpperCAmelCase		,      heap_size=_UpperCAmelCase					)

       # Update size
       snake_case_       =      self.size - 1 - size_of_new

       # Neighbour nodes
       snake_case_       =      self.min_node.left
       snake_case_       =      self.min_node.parent

       # Initialize new bottom_root and min_node
       snake_case_       =      previous_node or next_node
       snake_case_       =      next_node

       # Update links of previous_node and search below for new min_node and
       # bottom_root
       if previous_node:
             snake_case_       =      next_node

             # Update bottom_root and search for min_node below
             snake_case_       =      previous_node
             snake_case_       =      previous_node
             while self.bottom_root.left:
                   snake_case_       =      self.bottom_root.left
                   if self.bottom_root.val < self.min_node.val:
                         snake_case_       =      self.bottom_root
       if next_node:
             snake_case_       =      previous_node

             # Search for new min_node above min_node
             snake_case_       =      next_node
             while i:
                   if i.val < self.min_node.val:
                         snake_case_       =      i
                   snake_case_       =      i.parent
        # Merge heaps
       self.merge_heaps(_UpperCAmelCase					)

       return min_value



 def 						UpperCamelCase__     (	self					):
       snake_case_       =      self.bottom_root
       while top_root.parent:
             snake_case_       =      top_root.parent
       # preorder
       snake_case_       =      []
       self.__traversal(_UpperCAmelCase		,      _UpperCAmelCase					)
       return heap_pre_order



 def 						UpperCamelCase__     (	self		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase=0					):
       if curr_node:
             preorder.append((curr_node.val, level)					)
             self.__traversal(curr_node.left		,      _UpperCAmelCase		,      level + 1					)
             self.__traversal(curr_node.right		,      _UpperCAmelCase		,      level + 1					)
       else:
             preorder.append(('''#''', level)					)





 def __str__(	self					):
       if self.is_empty():
             return ""
       snake_case_       =      self.pre_order()

       return "\n".join(('''-''' * level + str(_UpperCAmelCase					)) for value, level in preorder_heap					)


# Unit Tests
if __name__ == "__main__":
   import doctest

   doctest.testmod()