


'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
    from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


lowerCAmelCase						=					logging.get_logger(__name__)

lowerCAmelCase						=					{
    """microsoft/deberta-v2-xlarge""": """https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xxlarge""": """https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json"""
    ),
    """microsoft/deberta-v2-xxlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json"""
    ),
}






class        lowerCAmelCase_  (     UpperCAmelCase	):
       __UpperCAmelCase					='deberta-v2'






       def __init__( self			,     _UpperCamelCase=12_8100			,     _UpperCamelCase=1536			,     _UpperCamelCase=24			,     _UpperCamelCase=24			,     _UpperCamelCase=6144			,     _UpperCamelCase="gelu"			,     _UpperCamelCase=0.1			,     _UpperCamelCase=0.1			,     _UpperCamelCase=512			,     _UpperCamelCase=0			,     _UpperCamelCase=0.02			,     _UpperCamelCase=1e-7			,     _UpperCamelCase=False			,     _UpperCamelCase=-1			,     _UpperCamelCase=0			,     _UpperCamelCase=True			,     _UpperCamelCase=None			,     _UpperCamelCase=0			,     _UpperCamelCase="gelu"			,     **_UpperCamelCase			,     )->      List[Any]:
            super().__init__(**snake_case_   )

            _A				=							hidden_size
            _A				=							num_hidden_layers
            _A				=							num_attention_heads
            _A				=							intermediate_size
            _A				=							hidden_act
            _A				=							hidden_dropout_prob
            _A				=							attention_probs_dropout_prob
            _A				=							max_position_embeddings
            _A				=							type_vocab_size
            _A				=							initializer_range
            _A				=							relative_attention
            _A				=							max_relative_positions
            _A				=							pad_token_id
            _A				=							position_biased_input

            # Backwards compatibility
            if type(snake_case_   ) == str:
                 _A				=							[x.strip() for x in pos_att_type.lower().split('|'   )]

            _A				=							pos_att_type
            _A				=							vocab_size
            _A				=							layer_norm_eps

            _A				=							kwargs.get('pooler_hidden_size'			,     snake_case_   )
            _A				=							pooler_dropout
            _A				=							pooler_hidden_act






class        lowerCAmelCase_  (     UpperCAmelCase	):






       @property
       def   UpperCamelCase						( self   )->      Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                 _A				=							{0: 'batch', 1: 'choice', 2: 'sequence'}
            else:
                 _A				=							{0: 'batch', 1: 'sequence'}
            if self._config.type_vocab_size > 0:
                 return OrderedDict(
                     [('input_ids', dynamic_axis), ('attention_mask', dynamic_axis), ('token_type_ids', dynamic_axis)]   )
            else:
                 return OrderedDict([('input_ids', dynamic_axis), ('attention_mask', dynamic_axis)]   )






       @property
       def   UpperCamelCase						( self   )->      int:
            return 12






       def   UpperCamelCase						( self			,     _UpperCamelCase			,     _UpperCamelCase = -1			,     _UpperCamelCase = -1			,     _UpperCamelCase = -1			,     _UpperCamelCase = False			,     _UpperCamelCase = None			,     _UpperCamelCase = 3			,     _UpperCamelCase = 40			,     _UpperCamelCase = 40			,     _UpperCamelCase = None			,     )->      Mapping[str, Any]:
            _A				=							super().generate_dummy_inputs(preprocessor=snake_case_			,     framework=snake_case_   )
            if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                 del dummy_inputs["token_type_ids"]
            return dummy_inputs










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     __a			:



	def __init__(    self				:     Tuple					,						snake_case_				:     list[int]					,						snake_case_				:     list[list[int]]					,						snake_case_				:     list[list[int]]					,						)->				None:
						__lowerCAmelCase						 =claim_vector
						__lowerCAmelCase						 =allocated_resources_table
						__lowerCAmelCase						 =maximum_claim_table



	def 		UpperCamelCase				(    self				:     Optional[int])->				list[int]:
						return [
						    sum(p_item[i] for p_item in self.__allocated_resources_table)
						    for i in range(len(self.__allocated_resources_table[0]))
						]



	def 		UpperCamelCase				(    self				:     Dict)->				list[int]:
						return np.array(self.__claim_vector) - np.array(
						    self.__processes_resource_summation())



	def 		UpperCamelCase				(    self				:     Optional[Any])->				list[list[int]]:
						return [
						    list(np.array(self.__maximum_claim_table[i]) - np.array(snake_case_))
						    for i, allocated_resource in enumerate(self.__allocated_resources_table)
						]



	def 		UpperCamelCase				(    self				:     Dict)->				dict[int, list[int]]:
						return {self.__need().index(snake_case_): i for i in self.__need()}



	def 		UpperCamelCase				(    self				:     Optional[Any]					,						**snake_case_				:     Optional[Any])->				None:
						__lowerCAmelCase						 =self.__need()
						__lowerCAmelCase						 =self.__allocated_resources_table
						__lowerCAmelCase						 =self.__available_resources()
						__lowerCAmelCase						 =self.__need_index_manager()
						for kw, val in kwargs.items():
											if kw and val is True:
																self.__pretty_data()
						print("""_""" * 50 + """\n""")
						while need_list:
											__lowerCAmelCase						 =False
											for each_need in need_list:
																__lowerCAmelCase						 =True
																for index, need in enumerate(snake_case_):
																					if need > available_resources[index]:
																										__lowerCAmelCase						 =False
																										break
																if execution:
																					__lowerCAmelCase						 =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:
																															__lowerCAmelCase						 =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
																					__lowerCAmelCase						 =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 		UpperCamelCase				(    self				:     List[str])->				Optional[Any]:
						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()




