
"""simple docstring"""

import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)
class      _UpperCAmelCase							:
      __SCREAMING_SNAKE_CASE   :							Any							      =	None




@experimental
def     lowercase__						(					lowerCAmelCase				:					str ,				lowerCAmelCase				:					Dict ,				lowerCAmelCase				:					Optional[Any] ,				lowerCAmelCase				:					str ,				lowerCAmelCase				:					Optional[int] ,				lowerCAmelCase				:					Any ,				lowerCAmelCase				:					int ) ->      Any:






    """simple docstring"""




    if ParallelBackendConfig.backend_name is None:
        return _map_with_multiprocessing_pool(
            lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase )

    return _map_with_joblib(lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase )




def     lowercase__						(					lowerCAmelCase				:					str ,				lowerCAmelCase				:					List[Any] ,				lowerCAmelCase				:					List[Any] ,				lowerCAmelCase				:					List[str] ,				lowerCAmelCase				:					List[str] ,				lowerCAmelCase				:					Any ,				lowerCAmelCase				:					Dict ) ->      List[str]:






    """simple docstring"""




    UpperCAmelCase									=					num_proc if num_proc <= len(lowerCAmelCase ) else len(lowerCAmelCase )
    UpperCAmelCase									=					[]  # We organize the splits ourselve (contiguous splits)
    for index in range(lowerCAmelCase ):
        UpperCAmelCase									=					len(lowerCAmelCase ) // num_proc
        UpperCAmelCase									=					len(lowerCAmelCase ) % num_proc
        UpperCAmelCase									=					div * index + min(lowerCAmelCase ,				lowerCAmelCase )
        UpperCAmelCase									=					start + div + (1 if index < mod else 0)
        split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc) )

    if len(lowerCAmelCase ) != sum(len(i[1] ) for i in split_kwds ):
        raise ValueError(
            F"Error dividing inputs iterable among processes. "
            F"Total number of objects {len(lowerCAmelCase )}, "
            F"length: {sum(len(i[1] ) for i in split_kwds )}" )

    logger.info(
        F"Spawning {num_proc} processes for {len(lowerCAmelCase )} objects in slices of {[len(i[1] ) for i in split_kwds]}" )
    UpperCAmelCase			,							UpperCAmelCase									=					None, None
    if not disable_tqdm:
        UpperCAmelCase			,							UpperCAmelCase									=					(RLock(),), tqdm.set_lock
    with Pool(lowerCAmelCase ,				initargs=lowerCAmelCase ,				initializer=lowerCAmelCase ) as pool:
        UpperCAmelCase									=					pool.map(lowerCAmelCase ,				lowerCAmelCase )
    logger.info(F"Finished {num_proc} processes" )
    UpperCAmelCase									=					[obj for proc_res in mapped for obj in proc_res]
    logger.info(F"Unpacked {len(lowerCAmelCase )} objects" )

    return mapped




def     lowercase__						(					lowerCAmelCase				:					Optional[int] ,				lowerCAmelCase				:					Tuple ,				lowerCAmelCase				:					int ,				lowerCAmelCase				:					Optional[Any] ,				lowerCAmelCase				:					Optional[Any] ,				lowerCAmelCase				:					Dict ,				lowerCAmelCase				:					Tuple ) ->      Dict:






    """simple docstring"""




    import joblib

    with joblib.parallel_backend(ParallelBackendConfig.backend_name ,				n_jobs=lowerCAmelCase ):
        return joblib.Parallel()(
            joblib.delayed(lowerCAmelCase )((function, obj, types, None, True, None) ) for obj in iterable )







@experimental
@contextlib.contextmanager
def     lowercase__						(					lowerCAmelCase				:					str ) ->      List[str]:






    """simple docstring"""




    UpperCAmelCase									=					backend_name

    if backend_name == "spark":
        from joblibspark import register_spark

        register_spark()

        # TODO: call create_cache_and_write_probe if "download" in steps
        # TODO: raise NotImplementedError when Dataset.map etc is called

    try:
        yield
    finally:
        UpperCAmelCase									=					None





"""simple docstring"""

import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_     ,			unittest.TestCase							):
      __SCREAMING_SNAKE_CASE   :							str							      =	CTRLTokenizer
      __SCREAMING_SNAKE_CASE   :							int							      =	False
      __SCREAMING_SNAKE_CASE   :							Optional[Any]							      =	False




      def     a_      (							self							)						->					Dict:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          UpperCAmelCase									=					['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
          UpperCAmelCase									=					dict(zip(lowercase_   ,       range(len(lowercase_							)							)							)							)
          UpperCAmelCase									=					['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
          UpperCAmelCase									=					{'unk_token': '<unk>'}

          UpperCAmelCase									=					os.path.join(self.tmpdirname   ,       VOCAB_FILES_NAMES['vocab_file']							)
          UpperCAmelCase									=					os.path.join(self.tmpdirname   ,       VOCAB_FILES_NAMES['merges_file']							)
          with open(self.vocab_file   ,       'w'   ,       encoding='utf-8'							) as fp:
              fp.write(json.dumps(lowercase_							) + '\n'							)
          with open(self.merges_file   ,       'w'   ,       encoding='utf-8'							) as fp:
              fp.write('\n'.join(lowercase_							)							)




      def     a_      (							self   ,       **lowercase_							)						->					Tuple:
          kwargs.update(self.special_tokens_map							)
          return CTRLTokenizer.from_pretrained(self.tmpdirname   ,       **lowercase_							)




      def     a_      (							self   ,       lowercase_							)						->					Tuple:
          UpperCAmelCase									=					'adapt react readapt apt'
          UpperCAmelCase									=					'adapt react readapt apt'
          return input_text, output_text




      def     a_      (							self							)						->					Union[str, Any]:
          UpperCAmelCase									=					CTRLTokenizer(self.vocab_file   ,       self.merges_file   ,       **self.special_tokens_map							)
          UpperCAmelCase									=					'adapt react readapt apt'
          UpperCAmelCase									=					'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
          UpperCAmelCase									=					tokenizer.tokenize(lowercase_							)
          self.assertListEqual(lowercase_   ,       lowercase_							)

          UpperCAmelCase									=					tokens + [tokenizer.unk_token]

          UpperCAmelCase									=					[0, 1, 2, 4, 5, 1, 0, 3, 6]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_							)   ,       lowercase_							)



