




import os
import sys
from pathlib import Path

import torch

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, require_torch_multi_gpu
from utils import load_json


__magic_name__     :     Optional[int]  							=					torch.cuda.is_available()
__magic_name__     :     List[str]  							=					[""" Sam ate lunch today.""", """Sams lunch ingredients."""]
__magic_name__     :     Tuple  							=					["""A very interesting story about what I ate for lunch.""", """Avocado, celery, turkey, coffee"""]
__magic_name__     :     Any  							=					{
    """max_tokens_per_batch""": None,
    """supervise_forward""": True,
    """normalize_hidden""": True,
    """label_smoothing""": 0.2,
    """eval_max_gen_length""": None,
    """eval_beams""": 1,
    """val_metric""": """loss""",
    """save_top_k""": 1,
    """adafactor""": True,
    """early_stopping_patience""": 2,
    """logger_name""": """default""",
    """length_penalty""": 0.5,
    """cache_dir""": """""",
    """task""": """summarization""",
    """num_workers""": 2,
    """alpha_hid""": 0,
    """freeze_embeds""": True,
    """enc_only""": False,
    """tgt_suffix""": """""",
    """resume_from_checkpoint""": None,
    """sortish_sampler""": True,
    """student_decoder_layers""": 1,
    """val_check_interval""": 1.0,
    """output_dir""": """""",
    """fp16""": False,  # TODO(SS): set this to CUDA_AVAILABLE if ci installs apex or start using native amp
    """no_teacher""": False,
    """fp16_opt_level""": """O1""",
    """gpus""": 1 if CUDA_AVAILABLE else 0,
    """n_tpu_cores""": 0,
    """max_grad_norm""": 1.0,
    """do_train""": True,
    """do_predict""": True,
    """accumulate_grad_batches""": 1,
    """server_ip""": """""",
    """server_port""": """""",
    """seed""": 42,
    """model_name_or_path""": """sshleifer/bart-tiny-random""",
    """config_name""": """""",
    """tokenizer_name""": """facebook/bart-large""",
    """do_lower_case""": False,
    """learning_rate""": 0.3,
    """lr_scheduler""": """linear""",
    """weight_decay""": 0.0,
    """adam_epsilon""": 1E-08,
    """warmup_steps""": 0,
    """max_epochs""": 1,
    """train_batch_size""": 2,
    """eval_batch_size""": 2,
    """max_source_length""": 12,
    """max_target_length""": 12,
    """val_max_target_length""": 12,
    """test_max_target_length""": 12,
    """fast_dev_run""": False,
    """no_cache""": False,
    """n_train""": -1,
    """n_val""": -1,
    """n_test""": -1,
    """student_encoder_layers""": 1,
    """freeze_encoder""": False,
    """auto_scale_batch_size""": False,
    """overwrite_output_dir""": False,
    """student""": None,
}
def 		a_       (   __lowerCAmelCase      ,   __lowerCAmelCase							):
  lowerCAmelCase__								=			'''\n'''.join(__lowerCAmelCase							)
  Path(__lowerCAmelCase							).open('''w'''							).writelines(__lowerCAmelCase							)
def 		a_       (   __lowerCAmelCase							):
  for split in ["train", "val", "test"]:
    _dump_articles(os.path.join(__lowerCAmelCase      ,   F"""{split}.source"""							)      ,   __lowerCAmelCase							)
    _dump_articles(os.path.join(__lowerCAmelCase      ,   F"""{split}.target"""							)      ,   __lowerCAmelCase							)
  return tmp_dir





class 						SCREAMING_SNAKE_CASE__		(_a ):
     @classmethod
     def 					A__			(	cls  :		Dict	):



       """simple docstring"""
       return cls
     @require_torch_multi_gpu
     def 					A__			(	self  :		Optional[int]	):



       """simple docstring"""
       lowerCAmelCase__								=			{
           '''no_teacher''': True,
           '''freeze_encoder''': True,
           '''gpus''': 2,
           '''overwrite_output_dir''': True,
           '''sortish_sampler''': True,
       }
       self._test_distiller_cli_fork(__lowerCamelCase					,	check_contents=__lowerCamelCase	)



     def 					A__			(	self  :		Dict					,	__lowerCamelCase  :		List[str]					,	__lowerCamelCase  :		str=True	):



       """simple docstring"""
       lowerCAmelCase__								=			{
           '''label_smoothing''': 0.0,
           '''early_stopping_patience''': -1,
           '''train_batch_size''': 1,
           '''eval_batch_size''': 2,
           '''max_epochs''': 2,
           '''alpha_mlm''': 0.2,
           '''alpha_ce''': 0.8,
           '''do_predict''': True,
           '''model_name_or_path''': '''sshleifer/tinier_bart''',
           '''teacher''': CHEAP_ARGS['''model_name_or_path'''],
           '''val_check_interval''': 0.5,
       }
       default_updates.update(__lowerCamelCase	)
       lowerCAmelCase__								=			CHEAP_ARGS.copy()
       lowerCAmelCase__								=			make_test_data_dir(tmp_dir=self.get_auto_remove_tmp_dir()	)
       lowerCAmelCase__								=			self.get_auto_remove_tmp_dir()
       args_d.update(data_dir=__lowerCamelCase					,	output_dir=__lowerCamelCase					,	**__lowerCamelCase	)

       def convert(__lowerCamelCase  :		Any					,	__lowerCamelCase  :		int	):
         if k in ["tgt_suffix", "server_ip", "server_port", "out", "n_tpu_cores"]:
           return ""
         if v is False or v is None:
           return ""
         if v is True:  # or len(str(v))==0:
           return F"""--{k}"""
         return F"""--{k}={v}"""

       lowerCAmelCase__								=			[x for x in (convert(__lowerCamelCase					,	__lowerCamelCase	) for k, v in args_d.items()) if len(__lowerCamelCase	)]
       lowerCAmelCase__								=			[sys.executable, F"""{self.test_file_dir}/distillation.py"""] + cli_args
       execute_subprocess_async(__lowerCamelCase					,	env=self.get_env()	)

       lowerCAmelCase__								=			os.listdir(__lowerCamelCase	)
       lowerCAmelCase__								=			{os.path.basename(__lowerCamelCase	) for p in contents}
       lowerCAmelCase__								=			[p for p in contents if p.endswith('''ckpt'''	)]
       assert len(__lowerCamelCase	) > 0

       self.assertIn('''test_generations.txt'''					,	__lowerCamelCase	)
       self.assertIn('''test_results.txt'''					,	__lowerCamelCase	)

       # get the following from the module, (we don't have access to `model` here)
       lowerCAmelCase__								=			os.path.join(__lowerCamelCase					,	'''metrics.json'''	)
       lowerCAmelCase__								=			'''rouge2'''

       lowerCAmelCase__								=			load_json(__lowerCamelCase	)
       # {'test': [{'test_avg_loss': 10.63731575012207, 'test_avg_rouge1': 0.0, 'test_avg_rouge2': 0.0, 'test_avg_rougeL': 0.0, 'test_avg_gen_time': 0.1822289228439331, 'test_avg_gen_len': 142.0, 'step_count': 1}]}
       print(__lowerCamelCase	)
       lowerCAmelCase__								=			metrics['''val'''][-1]
       self.assertGreaterEqual(last_step_stats['''val_avg_gen_time''']					,	0.01	)
       self.assertIsInstance(last_step_stats[F"""val_avg_{val_metric}"""]					,	__lowerCamelCase	)
       self.assertEqual(len(metrics['''test''']	)					,	1	)
       lowerCAmelCase__								=			int(args_d['''max_epochs'''] * (1 / args_d['''val_check_interval''']) / 2 + 1	)
       self.assertEqual(len(metrics['''val''']	)					,	__lowerCamelCase	)







import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


__magic_name__     :     List[Any]  							=					get_logger(__name__)


if TYPE_CHECKING:
      from .builder import DatasetBuilder
def 		a_       (   __lowerCAmelCase      ,   __lowerCAmelCase = None							):
  lowerCAmelCase__								=			importlib.import_module(__lowerCAmelCase							)

  # TODO(QL): always update the module to add subsequent new authentication
  if hasattr(__lowerCAmelCase      ,   '''_patched_for_streaming'''							) and module._patched_for_streaming:
    return

  def wrap_auth(__lowerCAmelCase							):
    @wraps(__lowerCAmelCase							)
    def wrapper(*__lowerCAmelCase      ,   **__lowerCAmelCase							):
      return function(*__lowerCAmelCase      ,   use_auth_token=__lowerCAmelCase      ,   **__lowerCAmelCase							)

    lowerCAmelCase__								=			'''wrap_auth'''
    return wrapper

  # open files in a streaming fashion
  patch_submodule(__lowerCAmelCase      ,   '''open'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.listdir'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.walk'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''glob.glob'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  # allow to navigate in remote zip files
  patch_submodule(__lowerCAmelCase      ,   '''os.path.join'''      ,   __lowerCAmelCase							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.dirname'''      ,   __lowerCAmelCase							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.basename'''      ,   __lowerCAmelCase							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.relpath'''      ,   __lowerCAmelCase							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.split'''      ,   __lowerCAmelCase							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.splitext'''      ,   __lowerCAmelCase							).start()
  # allow checks on paths
  patch_submodule(__lowerCAmelCase      ,   '''os.path.exists'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.isdir'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.isfile'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''os.path.getsize'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''pathlib.Path'''      ,   __lowerCAmelCase							).start()
  # file readers
  patch_submodule(__lowerCAmelCase      ,   '''gzip.open'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''numpy.load'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''pandas.read_csv'''      ,   wrap_auth(__lowerCAmelCase							)      ,   attrs=['''__version__''']							).start()
  patch_submodule(__lowerCAmelCase      ,   '''pandas.read_excel'''      ,   wrap_auth(__lowerCAmelCase							)      ,   attrs=['''__version__''']							).start()
  patch_submodule(__lowerCAmelCase      ,   '''scipy.io.loadmat'''      ,   wrap_auth(__lowerCAmelCase							)      ,   attrs=['''__version__''']							).start()
  patch_submodule(__lowerCAmelCase      ,   '''xml.etree.ElementTree.parse'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  patch_submodule(__lowerCAmelCase      ,   '''xml.dom.minidom.parse'''      ,   wrap_auth(__lowerCAmelCase							)							).start()
  lowerCAmelCase__								=			True




def 		a_       (   __lowerCAmelCase							):
  extend_module_for_streaming(builder.__module__      ,   use_auth_token=builder.use_auth_token							)
  # if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
  if not builder.__module__.startswith('''datasets.'''							):  # check that it's not a packaged builder like csv
    for imports in get_imports(inspect.getfile(builder.__class__							)							):
      if imports[0] == "internal":
        lowerCAmelCase__								=			imports[1]
        lowerCAmelCase__								=			'''.'''.join(builder.__module__.split('''.'''							)[:-1] + [internal_import_name]							)
        extend_module_for_streaming(__lowerCAmelCase      ,   use_auth_token=builder.use_auth_token							)

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
  from .builder import DatasetBuilder

  lowerCAmelCase__								=			[
      cls.__module__
      for cls in type(__lowerCAmelCase							).__mro__[1:]  # make sure it's not the same module we've already patched
      if issubclass(cls      ,   __lowerCAmelCase							) and cls.__module__ != DatasetBuilder.__module__
  ]  # check it's not a standard builder from datasets.builder
  for module in parent_builder_modules:
    extend_module_for_streaming(__lowerCAmelCase      ,   use_auth_token=builder.use_auth_token							)

