

import warnings

from ...utils import is_sklearn_available, requires_backends


if is_sklearn_available():
       from scipy.stats import pearsonr, spearmanr
       from sklearn.metrics import fa_score, matthews_corrcoef


UpperCamelCase__  :      Optional[int]			=    (
    "This metric will be removed from the library soon, metrics should be handled with the 🤗 Evaluate "
    "library. You can have a look at this example script for pointers: "
    "https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue.py"
)


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		List[str] ,   _SCREAMING_SNAKE_CASE					:		Dict       ):





    """simple docstring"""


    warnings.warn(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    requires_backends(_SCREAMING_SNAKE_CASE ,   'sklearn'       )
    return (preds == labels).mean()


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Optional[int] ,   _SCREAMING_SNAKE_CASE					:		Optional[int]       ):





    """simple docstring"""


    warnings.warn(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    requires_backends(_SCREAMING_SNAKE_CASE ,   'sklearn'       )
    SCREAMING_SNAKE_CASE_									=						simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    SCREAMING_SNAKE_CASE_									=						fa_score(y_true=_SCREAMING_SNAKE_CASE ,   y_pred=_SCREAMING_SNAKE_CASE       )
    return {
        "acc": acc,
        "f1": fa,
        "acc_and_f1": (acc + fa) / 2,
    }


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		List[Any] ,   _SCREAMING_SNAKE_CASE					:		List[Any]       ):





    """simple docstring"""


    warnings.warn(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    requires_backends(_SCREAMING_SNAKE_CASE ,   'sklearn'       )
    SCREAMING_SNAKE_CASE_									=						pearsonr(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )[0]
    SCREAMING_SNAKE_CASE_									=						spearmanr(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )[0]
    return {
        "pearson": pearson_corr,
        "spearmanr": spearman_corr,
        "corr": (pearson_corr + spearman_corr) / 2,
    }


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Optional[int] ,   _SCREAMING_SNAKE_CASE					:		List[str] ,   _SCREAMING_SNAKE_CASE					:		List[str]       ):





    """simple docstring"""


    warnings.warn(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    requires_backends(_SCREAMING_SNAKE_CASE ,   'sklearn'       )
    assert len(_SCREAMING_SNAKE_CASE       ) == len(_SCREAMING_SNAKE_CASE       ), f"""Predictions and labels have mismatched lengths {len(_SCREAMING_SNAKE_CASE       )} and {len(_SCREAMING_SNAKE_CASE       )}"""
    if task_name == "cola":
        return {"mcc": matthews_corrcoef(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "sst-2":
        return {"acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "mrpc":
        return acc_and_fa(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    elif task_name == "sts-b":
        return pearson_and_spearman(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    elif task_name == "qqp":
        return acc_and_fa(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    elif task_name == "mnli":
        return {"mnli/acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "mnli-mm":
        return {"mnli-mm/acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "qnli":
        return {"acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "rte":
        return {"acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "wnli":
        return {"acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    elif task_name == "hans":
        return {"acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    else:
        raise KeyError(_SCREAMING_SNAKE_CASE       )





def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Tuple ,   _SCREAMING_SNAKE_CASE					:		Optional[int] ,   _SCREAMING_SNAKE_CASE					:		int       ):





    """simple docstring"""


    warnings.warn(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )
    requires_backends(_SCREAMING_SNAKE_CASE ,   'sklearn'       )
    if len(_SCREAMING_SNAKE_CASE       ) != len(_SCREAMING_SNAKE_CASE       ):
        raise ValueError(f"""Predictions and labels have mismatched lengths {len(_SCREAMING_SNAKE_CASE       )} and {len(_SCREAMING_SNAKE_CASE       )}"""       )
    if task_name == "xnli":
        return {"acc": simple_accuracy(_SCREAMING_SNAKE_CASE ,   _SCREAMING_SNAKE_CASE       )}
    else:
        raise KeyError(_SCREAMING_SNAKE_CASE       )





import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command



class       __snake_case  (    unittest.TestCase       ):
  __lowerCAmelCase     :	Dict						 =  inspect.getfile(accelerate.test_utils       )
  __lowerCAmelCase     :	Optional[Any]						 =  os.path.sep.join(mod_file.split(os.path.sep       )[:-1] + ['scripts', 'test_cli.py']       )

  __lowerCAmelCase     :	Tuple						 =  ['accelerate', 'launch']
  __lowerCAmelCase     :	Union[str, Any]						 =  Path.home() / '.cache/huggingface/accelerate'
  __lowerCAmelCase     :	List[str]						 =  'default_config.yaml'
  __lowerCAmelCase     :	List[Any]						 =  config_folder / config_file
  __lowerCAmelCase     :	str						 =  config_folder / '_default_config.yaml'

  __lowerCAmelCase     :	Optional[int]						 =  Path('tests/test_configs'       )

  @classmethod
  def 						lowerCAmelCase__     (					cls):
      if cls.config_path.is_file():
          cls.config_path.rename(cls.changed_path)

  @classmethod
  def 						lowerCAmelCase__     (					cls):
      if cls.changed_path.is_file():
          cls.changed_path.rename(cls.config_path)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.base_cmd
      if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
          cmd += ["--multi_gpu"]
      execute_subprocess_async(cmd + [self.test_file_path]						,		env=os.environ.copy())

  def 						lowerCAmelCase__     (					self):
      for config in sorted(self.test_config_path.glob('**/*.yaml')):
          with self.subTest(config_file=_A):
              execute_subprocess_async(
                  self.base_cmd + ['--config_file', str(_A), self.test_file_path]						,		env=os.environ.copy())


  def 						lowerCAmelCase__     (					self):
      execute_subprocess_async(['accelerate', 'test']						,		env=os.environ.copy())






class       __snake_case  (    unittest.TestCase       ):
  __lowerCAmelCase     :	Optional[Any]						 =  'test-tpu'
  __lowerCAmelCase     :	str						 =  'us-central1-a'
  __lowerCAmelCase     :	Union[str, Any]						 =  'ls'
  __lowerCAmelCase     :	Union[str, Any]						 =  ['accelerate', 'tpu-config']
  __lowerCAmelCase     :	Union[str, Any]						 =  'cd /usr/share'
  __lowerCAmelCase     :	List[Any]						 =  'tests/test_samples/test_command_file.sh'
  __lowerCAmelCase     :	Dict						 =  'Running gcloud compute tpus tpu-vm ssh'

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd
          + ['--command', self.command, '--tpu_zone', self.tpu_zone, '--tpu_name', self.tpu_name, '--debug']						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd
          + [
              '--config_file',
              'tests/test_configs/0_12_0.yaml',
              '--command',
              self.command,
              '--tpu_zone',
              self.tpu_zone,
              '--tpu_name',
              self.tpu_name,
              '--debug',
          ]						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--debug']						,		return_stdout=_A)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--command', self.command, '--debug']						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd
          + [
              '--config_file',
              'tests/test_configs/latest.yaml',
              '--command',
              self.command,
              '--command',
              'echo "Hello World"',
              '--debug',
          ]						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd
          + ['--config_file', 'tests/test_configs/latest.yaml', '--command_file', self.command_file, '--debug']						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd
          + [
              '--config_file',
              'tests/test_configs/0_12_0.yaml',
              '--command_file',
              self.command_file,
              '--tpu_zone',
              self.tpu_zone,
              '--tpu_name',
              self.tpu_name,
              '--debug',
          ]						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""						,		_A						,		)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--install_accelerate', '--debug']						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo \"hello world\"; echo \"this is a second command\" --worker all"""						,		_A						,		)


  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						run_command(
          self.cmd
          + [
              '--config_file',
              'tests/test_configs/latest.yaml',
              '--install_accelerate',
              '--accelerate_version',
              '12.0.0',
              '--debug',
          ]						,		return_stdout=_A						,		)
      self.assertIn(
          f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo \"hello world\"; echo \"this is a second command\" --worker all"""						,		_A						,		)


