



"""simple docstring"""
import doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch

import numpy as np
import pytest
from absl.testing import parameterized

import datasets
from datasets import load_metric

from .utils import for_all_test_methods, local, slow


# mark all tests as integration
UpperCAmelCase  :						Union[str, Any]	=       pytest.mark.integration


UpperCAmelCase  :						Union[str, Any]	=       {"comet"}
UpperCAmelCase  :						Tuple	=       importlib.util.find_spec("fairseq") is not None

UpperCAmelCase  :						Optional[Any]	=       {"code_eval"}
UpperCAmelCase  :						Union[str, Any]	=       os.name == "nt"

UpperCAmelCase  :						int	=       {"bertscore", "frugalscore", "perplexity"}
UpperCAmelCase  :						Any	=       importlib.util.find_spec("transformers") is not None


def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  Dict:







  '''simple docstring'''


  @wraps(UpperCamelCase__							)
  def wrapper(self       ,     __lowerCAmelCase							):
    if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
      self.skipTest("""\"test requires Fairseq\""""							)
    else:
      test_case(self       ,     UpperCamelCase__							)

  return wrapper


def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  Union[str, Any]:







  '''simple docstring'''


  @wraps(UpperCamelCase__							)
  def wrapper(self       ,     __lowerCAmelCase							):
    if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
      self.skipTest("""\"test requires transformers\""""							)
    else:
      test_case(self       ,     UpperCamelCase__							)

  return wrapper


def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  Optional[Any]:







  '''simple docstring'''


  @wraps(UpperCamelCase__							)
  def wrapper(self       ,     __lowerCAmelCase							):
    if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
      self.skipTest("""\"test not supported on Windows\""""							)
    else:
      test_case(self       ,     UpperCamelCase__							)

  return wrapper


def 	_SCREAMING_SNAKE_CASE  ()       ->  Dict:







  '''simple docstring'''


  lowercase_	    =       [metric_dir.split(os.sep							)[-2] for metric_dir in glob.glob("""./metrics/*/"""							)]
  return [{"testcase_name": x, "metric_name": x} for x in metrics if x != "gleu"]  # gleu is unfinished


@parameterized.named_parameters(get_local_metric_names()      )
@for_all_test_methods(
    snake_case_					,     snake_case_					,     snake_case_      )
@local
class       SCREAMING_SNAKE_CASE__       (							parameterized.TestCase      ):
    lowercase__          =      {}
    lowercase__          =      None

    @pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning""")
    @pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning""")
    def     _UpperCAmelCase		( self	: Union[str, Any]       ,     lowerCAmelCase_	: Any):







      """simple docstring"""







      lowercase_	    =       """[...]"""
      lowercase_	    =       importlib.import_module(
          datasets.load.metric_module_factory(os.path.join("""metrics"""       ,     UpperCAmelCase__)).module_path)
      lowercase_	    =       datasets.load.import_main_class(metric_module.__name__       ,     dataset=UpperCAmelCase__)
      # check parameters
      lowercase_	    =       inspect.signature(metric._compute).parameters
      self.assertTrue(all(p.kind != p.VAR_KEYWORD for p in parameters.values()))  # no **kwargs
      # run doctest
      with self.patch_intensive_calls(UpperCAmelCase__       ,     metric_module.__name__):
        with self.use_local_metrics():
          try:
            lowercase_	    =       doctest.testmod(UpperCAmelCase__       ,     verbose=UpperCAmelCase__       ,     raise_on_error=UpperCAmelCase__)
          except doctest.UnexpectedException as e:
            raise e.exc_info[1]  # raise the exception that doctest caught
      self.assertEqual(results.failed       ,     0)
      self.assertGreater(results.attempted       ,     1)

    @slow
    def     _UpperCAmelCase		( self	: List[str]       ,     lowerCAmelCase_	: Optional[int]):







      """simple docstring"""







      lowercase_	    =       """[...]"""
      lowercase_	    =       importlib.import_module(
          datasets.load.metric_module_factory(os.path.join("""metrics"""       ,     UpperCAmelCase__)).module_path)
      # run doctest
      with self.use_local_metrics():
        lowercase_	    =       doctest.testmod(UpperCAmelCase__       ,     verbose=UpperCAmelCase__       ,     raise_on_error=UpperCAmelCase__)
      self.assertEqual(results.failed       ,     0)
      self.assertGreater(results.attempted       ,     1)

    @contextmanager
    def     _UpperCAmelCase		( self	: List[Any]       ,     lowerCAmelCase_	: List[str]       ,     lowerCAmelCase_	: int):







      """simple docstring"""







      if metric_name in self.INTENSIVE_CALLS_PATCHER:
        with self.INTENSIVE_CALLS_PATCHER[metric_name](UpperCAmelCase__):
          yield
      else:
        yield

    @contextmanager
    def     _UpperCAmelCase		( self	: Tuple):







      """simple docstring"""







      def load_local_metric(lowerCAmelCase_	: Optional[Any]       ,     *lowerCAmelCase_	: Union[str, Any]       ,     **lowerCAmelCase_	: Tuple):
        return load_metric(os.path.join("""metrics"""       ,     UpperCAmelCase__)       ,     *UpperCAmelCase__       ,     **UpperCAmelCase__)

      with patch("""datasets.load_metric""") as mock_load_metric:
        lowercase_	    =       load_local_metric
        yield




    @classmethod
    def     _UpperCAmelCase		( cls	: Union[str, Any]       ,     lowerCAmelCase_	: Tuple):







      """simple docstring"""







      def wrapper(lowerCAmelCase_	: str):
        lowercase_	    =       contextmanager(UpperCAmelCase__)
        lowercase_	    =       patcher
        return patcher

      return wrapper







@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""							)
def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  int:







  '''simple docstring'''


  import tensorflow.compat.va as tf
  from bleurt.score import Predictor

  tf.flags.DEFINE_string("""sv"""       ,     """"""       ,     """"""							)  # handle pytest cli flags


  class       SCREAMING_SNAKE_CASE__       (							snake_case_      ):

      def     _UpperCAmelCase		( self	: str       ,     lowerCAmelCase_	: List[str]):







        """simple docstring"""







        assert len(input_dict["""input_ids"""]) == 2
        return np.array([1.03, 1.04])

       # mock predict_fn which is supposed to do a forward pass with a bleurt model
  with patch("""bleurt.score._create_predictor"""							) as mock_create_predictor:
    lowercase_	    =       MockedPredictor()
    yield


@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""							)
def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  Optional[Any]:







  '''simple docstring'''


  import torch

  def bert_cos_score_idf(__lowerCAmelCase       ,     __lowerCAmelCase       ,     *__lowerCAmelCase       ,     **__lowerCAmelCase							):
    return torch.tensor([[1.0, 1.0, 1.0]] * len(UpperCamelCase__							)							)

  # mock get_model which is supposed to do download a bert model
  # mock bert_cos_score_idf which is supposed to do a forward pass with a bert model
  with patch("""bert_score.scorer.get_model"""							), patch(
      """bert_score.scorer.bert_cos_score_idf"""							) as mock_bert_cos_score_idf:
    lowercase_	    =       bert_cos_score_idf
    yield


@LocalMetricTest.register_intensive_calls_patcher("""comet"""							)
def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  int:







  '''simple docstring'''


  def load_from_checkpoint(__lowerCAmelCase							):


    class       SCREAMING_SNAKE_CASE__       :

        def     _UpperCAmelCase		( self	: Optional[int]       ,     lowerCAmelCase_	: List[str]       ,     *lowerCAmelCase_	: int       ,     **lowerCAmelCase_	: Optional[int]):







          """simple docstring"""







          assert len(UpperCAmelCase__) == 2
          lowercase_	    =       [0.19, 0.92]
          return scores, sum(UpperCAmelCase__) / len(UpperCAmelCase__)







    return Model()

  # mock load_from_checkpoint which is supposed to do download a bert model
  # mock load_from_checkpoint which is supposed to do download a bert model
  with patch("""comet.download_model"""							) as mock_download_model:
    lowercase_	    =       None
    with patch("""comet.load_from_checkpoint"""							) as mock_load_from_checkpoint:
      lowercase_	    =       load_from_checkpoint
      yield


def 	_SCREAMING_SNAKE_CASE  ()       ->  int:







  '''simple docstring'''


  lowercase_	    =       load_metric(os.path.join("""metrics"""       ,     """seqeval"""							)							)
  lowercase_	    =       """ERROR"""
  lowercase_	    =       F'''Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}'''
  with pytest.raises(UpperCamelCase__       ,     match=re.escape(UpperCamelCase__							)							):
    metric.compute(predictions=[]       ,     references=[]       ,     scheme=UpperCamelCase__							)









"""simple docstring"""




from __future__ import annotations

import time

import numpy as np

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






class        UpperCamelCase			:


 def __init__(     self		:						List[Any]							,						UpperCAmelCase__		:						list[int]							,						UpperCAmelCase__		:						list[list[int]]							,						UpperCAmelCase__		:						list[list[int]]							,						)					->       None:
   _a  :       List[str]             =	claim_vector
   _a  :       List[Any]             =	allocated_resources_table
   _a  :       Union[str, Any]             =	maximum_claim_table


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


 def _lowercase	(     self		:						List[str]							)					->       list[list[int]]:
   return [
       list(np.array(self.__maximum_claim_table[i]							) - np.array(UpperCAmelCase__							)							)
       for i, allocated_resource in enumerate(self.__allocated_resources_table							)
   ]


 def _lowercase	(     self		:						Optional[Any]							)					->       dict[int, list[int]]:
   return {self.__need().index(UpperCAmelCase__							): i for i in self.__need()}


 def _lowercase	(     self		:						Dict							,						**UpperCAmelCase__		:						Optional[Any]							)					->       None:
   _a  :       List[Any]             =	self.__need()
   _a  :       Optional[int]             =	self.__allocated_resources_table
   _a  :       str             =	self.__available_resources()
   _a  :       Optional[Any]             =	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:
     _a  :       int             =	False
     for each_need in need_list:
       _a  :       Optional[int]             =	True
       for index, need in enumerate(UpperCAmelCase__							):
         if need > available_resources[index]:
           _a  :       List[Any]             =	False
           break
       if execution:
         _a  :       str             =	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:
             _a  :       Any             =	original_need_index
         print(f"""Process {process_number + 1} is executing."""							)
         # remove the process run from stack
         need_list.remove(UpperCAmelCase__							)
         # update available/freed resources stack
         _a  :       Union[str, Any]             =	np.array(UpperCAmelCase__							) + np.array(
             alloc_resources_table[process_number]							)
         print(
             """Updated available resource stack for processes: """
             + """ """.join([str(UpperCAmelCase__							) 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 _lowercase	(     self		:						Any							)					->       Optional[int]:
   print(""" """ * 9 + """Allocated Resource Table"""							)
   for item in self.__allocated_resources_table:
     print(
         f"""P{self.__allocated_resources_table.index(UpperCAmelCase__							) + 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(UpperCAmelCase__							) + 1}"""
         + """ """.join(f"""{it:>8}""" for it in item							)
         + """\n"""							)
   print(
       """Current Usage by Active Processes: """
       + """ """.join(str(UpperCAmelCase__							) for x in self.__claim_vector							)							)
   print(
       """Initial Available Resources:       """
       + """ """.join(str(UpperCAmelCase__							) for x in self.__available_resources()							)							)
   time.sleep(1							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

