


'''simple docstring'''






from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
 import torch

if is_vision_available():
 from PIL import Image


lowercase				=['text', 'image', 'audio']





def lowerCamelCase__     (		__lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  Any				       =[]

   for input_type in input_types:
      if input_type == "text":
         inputs.append('Text input'				)
      elif input_type == "image":
         inputs.append(
             Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'				)				) / '000000039769.png'				).resize((5_1_2, 5_1_2)				)				)
      elif input_type == "audio":
         inputs.append(torch.ones(3_0_0_0				)				)
      elif isinstance(__lowerCamelCase			,       __lowerCamelCase				):
         inputs.append(create_inputs(__lowerCamelCase				)				)
      else:
         raise ValueError(f"Invalid type requested: {input_type}"				)

   return inputs





def lowerCamelCase__     (		__lowerCamelCase			:				List				):







   '''simple docstring'''




   _UpperCAmelCase  :  List[Any]				       =[]

   for output in outputs:
      if isinstance(__lowerCamelCase			,       (str, AgentText)				):
         output_types.append('text'				)
      elif isinstance(__lowerCamelCase			,       (Image.Image, AgentImage)				):
         output_types.append('image'				)
      elif isinstance(__lowerCamelCase			,       (torch.Tensor, AgentAudio)				):
         output_types.append('audio'				)
      else:
         raise ValueError(f"Invalid output: {output}"				)

   return output_types






@is_tool_test
class    __magic_name__				:






       def      lowerCAmelCase						(     self)		->    Tuple:




          '''simple docstring'''
          self.assertTrue(hasattr(self.tool    ,				'inputs'))
          self.assertTrue(hasattr(self.tool    ,				'outputs'))

          _UpperCAmelCase  :  str				       =self.tool.inputs
          for _input in inputs:
             if isinstance(_input    ,				snake_case):
                for __input in _input:
                   self.assertTrue(__input in authorized_types)
             else:
                self.assertTrue(_input in authorized_types)

          _UpperCAmelCase  :  Dict				       =self.tool.outputs
          for _output in outputs:
             self.assertTrue(_output in authorized_types)






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




          '''simple docstring'''
          _UpperCAmelCase  :  List[str]				       =create_inputs(self.tool.inputs)
          _UpperCAmelCase  :  Tuple				       =self.tool(*snake_case)

          # There is a single output
          if len(self.tool.outputs) == 1:
             _UpperCAmelCase  :  str				       =[outputs]

          self.assertListEqual(output_types(snake_case)    ,				self.tool.outputs)






       def      lowerCAmelCase						(     self)		->    List[str]:




          '''simple docstring'''
          self.assertTrue(hasattr(self.tool    ,				'description'))
          self.assertTrue(hasattr(self.tool    ,				'default_checkpoint'))
          self.assertTrue(self.tool.description.startswith('This is a tool that'))






       def      lowerCAmelCase						(     self)		->    Dict:




          '''simple docstring'''
          _UpperCAmelCase  :  List[Any]				       =create_inputs(self.tool.inputs)
          _UpperCAmelCase  :  List[str]				       =self.tool(*snake_case)

          if not isinstance(snake_case    ,				snake_case):
             _UpperCAmelCase  :  Optional[Any]				       =[outputs]

          self.assertEqual(len(snake_case)    ,				len(self.tool.outputs))

          for output, output_type in zip(snake_case    ,				self.tool.outputs):
             _UpperCAmelCase  :  str				       =AGENT_TYPE_MAPPING[output_type]
             self.assertTrue(isinstance(snake_case    ,				snake_case))






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




          '''simple docstring'''
          _UpperCAmelCase  :  Optional[Any]				       =create_inputs(self.tool.inputs)

          _UpperCAmelCase  :  Optional[int]				       =[]

          for _input, input_type in zip(snake_case    ,				self.tool.inputs):
             if isinstance(snake_case    ,				snake_case):
                _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input) for _input_type in input_type])
             else:
                _inputs.append(AGENT_TYPE_MAPPING[input_type](_input))

        # Should not raise an error
          _UpperCAmelCase  :  Tuple				       =self.tool(*snake_case)

          if not isinstance(snake_case    ,				snake_case):
             _UpperCAmelCase  :  Union[str, Any]				       =[outputs]

          self.assertEqual(len(snake_case)    ,				len(self.tool.outputs))





'''simple docstring'''






from __future__ import annotations

import time

import numpy as np

lowercase				=[8, 5, 9, 7]
lowercase				=[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
lowercase				=[
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]






class    __magic_name__				:






       def __init__(     self    ,				snake_case    ,				snake_case    ,				snake_case    ,				)		->    None:




          '''simple docstring'''
          _UpperCAmelCase  :  Optional[Any]				       =claim_vector
          _UpperCAmelCase  :  Optional[int]				       =allocated_resources_table
          _UpperCAmelCase  :  int				       =maximum_claim_table






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




          '''simple docstring'''
          return [
              sum(p_item[i] for p_item in self.__allocated_resources_table)
              for i in range(len(self.__allocated_resources_table[0]))
          ]






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




          '''simple docstring'''
          return np.array(self.__claim_vector) - np.array(
              self.__processes_resource_summation())






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




          '''simple docstring'''
          return [
              list(np.array(self.__maximum_claim_table[i]) - np.array(snake_case))
              for i, allocated_resource in enumerate(self.__allocated_resources_table)
          ]






       def      lowerCAmelCase						(     self)		->    dict[int, list[int]]:




          '''simple docstring'''
          return {self.__need().index(snake_case): i for i in self.__need()}






       def      lowerCAmelCase						(     self    ,				**snake_case)		->    None:




          '''simple docstring'''
          _UpperCAmelCase  :  Any				       =self.__need()
          _UpperCAmelCase  :  str				       =self.__allocated_resources_table
          _UpperCAmelCase  :  Dict				       =self.__available_resources()
          _UpperCAmelCase  :  Tuple				       =self.__need_index_manager()
          for kw, val in kwargs.items():
             if kw and val is True:
                self.__pretty_data()
          print('_' * 5_0 + '\n')
          while need_list:
             _UpperCAmelCase  :  Any				       =False
             for each_need in need_list:
                _UpperCAmelCase  :  Any				       =True
                for index, need in enumerate(snake_case):
                   if need > available_resources[index]:
                      _UpperCAmelCase  :  Optional[int]				       =False
                      break
                if execution:
                   _UpperCAmelCase  :  Union[str, Any]				       =True
                   # get the original index of the process from ind_ctrl db
                   for original_need_index, need_clone in need_index_manager.items():
                      if each_need == need_clone:
                         _UpperCAmelCase  :  List[str]				       =original_need_index
                   print(f"Process {process_number + 1} is executing.")
                   # remove the process run from stack
                   need_list.remove(snake_case)
                   # update available/freed resources stack
                   _UpperCAmelCase  :  Any				       =np.array(snake_case) + np.array(
                       alloc_resources_table[process_number])
                   print(
                       'Updated available resource stack for processes: '
                       + ' '.join([str(snake_case) for x in available_resources]))
                   break
             if safe:
                print('The process is in a safe state.\n')
             else:
                print('System in unsafe state. Aborting...\n')
                break






       def      lowerCAmelCase						(     self)		->    Dict:




          '''simple docstring'''
          print(' ' * 9 + 'Allocated Resource Table')
          for item in self.__allocated_resources_table:
             print(
                 f"P{self.__allocated_resources_table.index(snake_case) + 1}"
                 + ' '.join(f"{it:>8}" for it in item)
                 + '\n')
          print(' ' * 9 + 'System Resource Table')
          for item in self.__maximum_claim_table:
             print(
                 f"P{self.__maximum_claim_table.index(snake_case) + 1}"
                 + ' '.join(f"{it:>8}" for it in item)
                 + '\n')
          print(
              'Current Usage by Active Processes: '
              + ' '.join(str(snake_case) for x in self.__claim_vector))
          print(
              'Initial Available Resources:       '
              + ' '.join(str(snake_case) for x in self.__available_resources()))
          time.sleep(1)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

