"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


lowercase__ 	=     logging.get_logger(__name__)

lowercase__ 	=     {
    'facebook/xmod-base': 'https://huggingface.co/facebook/xmod-base/resolve/main/config.json',
    'facebook/xmod-large-prenorm': 'https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json',
    'facebook/xmod-base-13-125k': 'https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json',
    'facebook/xmod-base-30-125k': 'https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json',
    'facebook/xmod-base-30-195k': 'https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json',
    'facebook/xmod-base-60-125k': 'https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json',
    'facebook/xmod-base-60-265k': 'https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json',
    'facebook/xmod-base-75-125k': 'https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json',
    'facebook/xmod-base-75-269k': 'https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json',
}




class        __snake_case	(					__lowerCAmelCase    ):
      a__				=		"""xmod"""



      def __init__(						self   ,      lowercase=3_05_22   ,      lowercase=7_68   ,      lowercase=12   ,      lowercase=12   ,      lowercase=30_72   ,      lowercase="gelu"   ,      lowercase=0.1   ,      lowercase=0.1   ,      lowercase=5_12   ,      lowercase=2   ,      lowercase=0.02   ,      lowercase=1e-12   ,      lowercase=1   ,      lowercase=0   ,      lowercase=2   ,      lowercase="absolute"   ,      lowercase=True   ,      lowercase=None   ,      lowercase=False   ,      lowercase=2   ,      lowercase=False   ,      lowercase=True   ,      lowercase=True   ,      lowercase=("en_XX",)   ,      lowercase=None   ,      **lowercase   ,      )     ->      Dict:





        '''simple docstring'''





        super().__init__(pad_token_id=lowercase   ,      bos_token_id=lowercase   ,      eos_token_id=lowercase   ,      **lowercase)

        a__:					Any      							=     vocab_size
        a__:					List[str]      							=     hidden_size
        a__:					int      							=     num_hidden_layers
        a__:					Union[str, Any]      							=     num_attention_heads
        a__:					List[str]      							=     hidden_act
        a__:					int      							=     intermediate_size
        a__:					int      							=     hidden_dropout_prob
        a__:					Optional[Any]      							=     attention_probs_dropout_prob
        a__:					Optional[Any]      							=     max_position_embeddings
        a__:					Tuple      							=     type_vocab_size
        a__:					Any      							=     initializer_range
        a__:					List[Any]      							=     layer_norm_eps
        a__:					int      							=     position_embedding_type
        a__:					Optional[Any]      							=     use_cache
        a__:					List[str]      							=     classifier_dropout
        a__:					Union[str, Any]      							=     pre_norm
        a__:					Dict      							=     adapter_reduction_factor
        a__:					List[str]      							=     adapter_layer_norm
        a__:					Any      							=     adapter_reuse_layer_norm
        a__:					Optional[Any]      							=     ln_before_adapter
        a__:					Optional[Any]      							=     list(lowercase)
        a__:					Optional[int]      							=     default_language







class        __snake_case	(					__lowerCAmelCase    ):



      @property
      def   lowerCamelCase_       (						self)     ->      Mapping[str, Mapping[int, str]]:





        '''simple docstring'''





        if self.task == "multiple-choice":
          a__:					str      							=     {0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
          a__:					Any      							=     {0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
            ])



"""simple docstring"""
import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

lowercase__ 	=     [
    'cross_validation.py',
    'gradient_accumulation.py',
    'local_sgd.py',
    'multi_process_metrics.py',
    'memory.py',
    'automatic_gradient_accumulation.py',
    'fsdp_with_peak_mem_tracking.py',
    'deepspeed_with_config_support.py',
    'megatron_lm_gpt_pretraining.py',
]




class        __snake_case	(					unittest.TestCase    ):



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase   ,      lowercase = None   ,      lowercase = None)     ->      Union[str, Any]:





        '''simple docstring'''





        a__:					List[Any]      							=     None
        a__:					Optional[Any]      							=     os.path.abspath(os.path.join('examples'   ,      'by_feature'))
        a__:					Optional[Any]      							=     os.path.abspath('examples')
        for item in os.listdir(lowercase):
          if item not in EXCLUDE_EXAMPLES:
            a__:					Dict      							=     os.path.join(lowercase   ,      lowercase)
            if os.path.isfile(lowercase) and ".py" in item_path:
              with self.subTest(
                  tested_script=lowercase   ,      feature_script=lowercase   ,      tested_section='main()' if parser_only else 'training_function()'   ,      ):
                a__:					List[Any]      							=     compare_against_test(
                    os.path.join(lowercase   ,      lowercase)   ,      lowercase   ,      lowercase   ,      lowercase)
                a__:					Dict      							=     '\n'.join(lowercase)
                if special_strings is not None:
                  for string in special_strings:
                    a__:					Union[str, Any]      							=     diff.replace(lowercase   ,      '')
                self.assertEqual(lowercase   ,      '')



      def   lowerCamelCase_       (						self)     ->      int:





        '''simple docstring'''





        self.one_complete_example('complete_nlp_example.py'   ,      lowercase)
        self.one_complete_example('complete_nlp_example.py'   ,      lowercase)



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





        '''simple docstring'''





        a__:					Dict      							=     os.path.abspath(os.path.join('examples'   ,      'cv_example.py'))
        a__:					Tuple      							=     [
            ' ' * 16 + '{\n\n',
            ' ' * 20 + '"accuracy": eval_metric["accuracy"],\n\n',
            ' ' * 20 + '"f1": eval_metric["f1"],\n\n',
            ' ' * 20 + '"train_loss": total_loss.item() / len(train_dataloader),\n\n',
            ' ' * 20 + '"epoch": epoch,\n\n',
            ' ' * 16 + '},\n\n',
            ' ' * 16 + 'step=epoch,\n',
            ' ' * 12,
            ' ' * 8 + 'for step, batch in enumerate(active_dataloader):\n',
        ]
        self.one_complete_example('complete_cv_example.py'   ,      lowercase   ,      lowercase   ,      lowercase)
        self.one_complete_example('complete_cv_example.py'   ,      lowercase   ,      lowercase   ,      lowercase)







@mock.patch.dict(os.environ	,				{"""TESTING_MOCKED_DATALOADERS""": """1"""}    )
class        __snake_case	(					__lowerCAmelCase    ):
      a__				=		False



      @classmethod
      def   lowerCamelCase_       (						cls)     ->      List[str]:





        '''simple docstring'''





        super().setUpClass()
        a__:					Dict      							=     tempfile.mkdtemp()
        a__:					Optional[int]      							=     os.path.join(cls._tmpdir   ,      'default_config.yml')

        write_basic_config(save_location=cls.configPath)
        a__:					List[str]      							=     ['accelerate', 'launch', '--config_file', cls.configPath]



      @classmethod
      def   lowerCamelCase_       (						cls)     ->      List[str]:





        '''simple docstring'''





        super().tearDownClass()
        shutil.rmtree(cls._tmpdir)



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





        '''simple docstring'''





        a__:					Optional[Any]      							=     f'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps epoch\n        --output_dir {self.tmpdir}\n        '.split()
        run_command(self._launch_args + testargs)
        self.assertTrue(os.path.exists(os.path.join(self.tmpdir   ,      'epoch_0')))



      def   lowerCamelCase_       (						self)     ->      Union[str, Any]:





        '''simple docstring'''





        a__:					Any      							=     f'\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '.split()
        a__:					Tuple      							=     run_command(self._launch_args + testargs)
        self.assertTrue(os.path.exists(os.path.join(self.tmpdir   ,      'step_2')))



      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        a__:					Optional[Any]      							=     f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir   ,      "epoch_0")}\n        '.split()
        a__:					Optional[int]      							=     run_command(self._launch_args + testargs   ,      return_stdout=lowercase)
        self.assertNotIn('epoch 0:'   ,      lowercase)
        self.assertIn('epoch 1:'   ,      lowercase)



      def   lowerCamelCase_       (						self)     ->      Optional[Any]:





        '''simple docstring'''





        a__:					int      							=     f'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir   ,      "step_2")}\n        '.split()
        a__:					List[str]      							=     run_command(self._launch_args + testargs   ,      return_stdout=lowercase)
        if torch.cuda.is_available():
          a__:					Union[str, Any]      							=     torch.cuda.device_count()
        else:
          a__:					Optional[int]      							=     1
        if num_processes > 1:
          self.assertNotIn('epoch 0:'   ,      lowercase)
          self.assertIn('epoch 1:'   ,      lowercase)
        else:
          self.assertIn('epoch 0:'   ,      lowercase)
          self.assertIn('epoch 1:'   ,      lowercase)



      @slow
      def   lowerCamelCase_       (						self)     ->      Optional[Any]:





        '''simple docstring'''





        a__:					Dict      							=     '\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '.split()
        with mock.patch.dict(os.environ   ,      {'TESTING_MOCKED_DATALOADERS': '0'}):
          a__:					Union[str, Any]      							=     run_command(self._launch_args + testargs   ,      return_stdout=lowercase)
          a__:					Union[str, Any]      							=     re.findall('({.+})'   ,      lowercase)
          a__:					Dict      							=     [r for r in results if 'accuracy' in r][-1]
          a__:					Optional[Any]      							=     ast.literal_eval(lowercase)
          self.assertGreaterEqual(results['accuracy']   ,      0.75)



      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        a__:					str      							=     ['examples/by_feature/multi_process_metrics.py']
        run_command(self._launch_args + testargs)



      @require_trackers
      @mock.patch.dict(os.environ   ,      {'WANDB_MODE': 'offline'})
      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        with tempfile.TemporaryDirectory() as tmpdir:
          a__:					List[str]      							=     f'\n            examples/by_feature/tracking.py\n            --with_tracking\n            --project_dir {tmpdir}\n            '.split()
          run_command(self._launch_args + testargs)
          self.assertTrue(os.path.exists(os.path.join(lowercase   ,      'tracking')))



      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        a__:					int      							=     ['examples/by_feature/gradient_accumulation.py']
        run_command(self._launch_args + testargs)



      def   lowerCamelCase_       (						self)     ->      List[Any]:





        '''simple docstring'''





        a__:					Union[str, Any]      							=     ['examples/by_feature/local_sgd.py']
        run_command(self._launch_args + testargs)


