import os
import tempfile
from pathlib import Path
from unittest import TestCase

import pyarrow as pa
import pytest

from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo

from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def 		__snake_case						(			self					:  Union[str, Any]			,    lowercase__					:  Tuple			,    lowercase__					:  Optional[int]=False):







        '''simple docstring'''



        lowerCAmelCase__	,					lowerCAmelCase__	,					lowerCAmelCase__     	=					(
            filename_skip_take['filename'],
            filename_skip_take['skip'] if 'skip' in filename_skip_take else None,
            filename_skip_take['take'] if 'take' in filename_skip_take else None,
        )
        open(os.path.join(lowercase__)			,    'wb').close()
        lowerCAmelCase__     	=					pa.Table.from_pydict({'filename': [Path(lowercase__).name] * 100})
        if take == -1:
               lowerCAmelCase__     	=					len(lowercase__) - skip
        if skip is not None and take is not None:
               lowerCAmelCase__     	=					pa_table.slice(lowercase__			,    lowercase__)
        return pa_table






class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def 		__snake_case						(			self					:  Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__     	=					'my_name'
        lowerCAmelCase__     	=					SplitInfo(name='train'			,    num_examples=100)
        lowerCAmelCase__     	=					SplitInfo(name='test'			,    num_examples=100)
        lowerCAmelCase__     	=					[train_info, test_info]
        lowerCAmelCase__     	=					SplitDict()
        split_dict.add(lowercase__)
        split_dict.add(lowercase__)
        lowerCAmelCase__     	=					DatasetInfo(splits=lowercase__)

        with tempfile.TemporaryDirectory() as tmp_dir:
               lowerCAmelCase__     	=					ReaderTest(lowercase__			,    lowercase__)

               lowerCAmelCase__     	=					'test[:33%]'
               lowerCAmelCase__     	=					Dataset(**reader.read(lowercase__			,    lowercase__			,    lowercase__))
               self.assertEqual(dset['filename'][0]			,    F"""{name}-test""")
               self.assertEqual(dset.num_rows			,    33)
               self.assertEqual(dset.num_columns			,    1)

               lowerCAmelCase__     	=					['train', 'test[:33%]']
               lowerCAmelCase__     	=					[Split.TRAIN, ReadInstruction.from_spec('test[:33%]')]
               for instructions in [instructionsa, instructionsa]:
                      lowerCAmelCase__     	=					[reader.read(lowercase__			,    lowercase__			,    lowercase__) for instr in instructions]
                      lowerCAmelCase__	,					lowerCAmelCase__     	=					(Dataset(**lowercase__) for dataset_kwargs in datasets_kwargs)
                      self.assertEqual(train_dset['filename'][0]			,    F"""{name}-train""")
                      self.assertEqual(train_dset.num_rows			,    100)
                      self.assertEqual(train_dset.num_columns			,    1)
                      self.assertIsInstance(train_dset.split			,    lowercase__)
                      self.assertEqual(str(train_dset.split)			,    'train')
                      self.assertEqual(test_dset['filename'][0]			,    F"""{name}-test""")
                      self.assertEqual(test_dset.num_rows			,    33)
                      self.assertEqual(test_dset.num_columns			,    1)
                      self.assertIsInstance(test_dset.split			,    lowercase__)
                      self.assertEqual(str(test_dset.split)			,    'test[:33%]')
                      del train_dset, test_dset




 def 		__snake_case						(			self					:  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__     	=					'my_name'
        lowerCAmelCase__     	=					SplitInfo(name='train'			,    num_examples=1_000			,    shard_lengths=[100] * 10)
        lowerCAmelCase__     	=					[train_info]
        lowerCAmelCase__     	=					SplitDict()
        split_dict.add(lowercase__)
        lowerCAmelCase__     	=					DatasetInfo(splits=lowercase__)

        with tempfile.TemporaryDirectory() as tmp_dir:
               lowerCAmelCase__     	=					ReaderTest(lowercase__			,    lowercase__)

               lowerCAmelCase__     	=					'train[:33%]'
               lowerCAmelCase__     	=					Dataset(**reader.read(lowercase__			,    lowercase__			,    lowercase__))
               self.assertEqual(dset['filename'][0]			,    F"""{name}-train-00000-of-00010""")
               self.assertEqual(dset['filename'][-1]			,    F"""{name}-train-00003-of-00010""")
               self.assertEqual(dset.num_rows			,    330)
               self.assertEqual(dset.num_columns			,    1)




 def 		__snake_case						(			self					:  int):







        '''simple docstring'''



        lowerCAmelCase__     	=					SplitInfo(name='train'			,    num_examples=100)
        lowerCAmelCase__     	=					SplitInfo(name='test'			,    num_examples=100)
        lowerCAmelCase__     	=					SplitDict()
        split_dict.add(lowercase__)
        split_dict.add(lowercase__)
        lowerCAmelCase__     	=					DatasetInfo(splits=lowercase__)

        with tempfile.TemporaryDirectory() as tmp_dir:
               lowerCAmelCase__     	=					ReaderTest(lowercase__			,    lowercase__)

               lowerCAmelCase__     	=					[
                   {'filename': os.path.join(lowercase__			,    'train')},
                   {'filename': os.path.join(lowercase__			,    'test'), 'skip': 10, 'take': 10},
               ]
               lowerCAmelCase__     	=					Dataset(**reader.read_files(lowercase__			,    original_instructions='train+test[10:20]'))
               self.assertEqual(dset.num_rows			,    110)
               self.assertEqual(dset.num_columns			,    1)
               del dset






@pytest.mark.parametrize('in_memory'	,  [False, True]	)
def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					arrow_file
       with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
              lowerCAmelCase__     	=					ArrowReader.read_table(lowerCAmelCase__	,  in_memory=lowerCAmelCase__	)
       assert table.shape == dataset.data.shape
       assert set(table.column_names	) == set(dataset.data.column_names	)
       assert dict(table.to_pydict()	) == dict(dataset.data.to_pydict()	)  # to_pydict returns OrderedDict






@pytest.mark.parametrize('in_memory'	,  [False, True]	)
def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					arrow_file
       lowerCAmelCase__     	=					ArrowReader(''	,  lowerCAmelCase__	)
       with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
              lowerCAmelCase__     	=					reader.read_files([{'filename': filename}]	,  in_memory=lowerCAmelCase__	)
       assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
       lowerCAmelCase__     	=					dataset_kwargs['arrow_table']
       assert table.shape == dataset.data.shape
       assert set(table.column_names	) == set(dataset.data.column_names	)
       assert dict(table.to_pydict()	) == dict(dataset.data.to_pydict()	)  # to_pydict returns OrderedDict






def       __lowerCamelCase		(						):
       assert ReadInstruction('train'	,  to=1_0	,  unit='abs'	).to_spec() == "train[:10]"
       assert ReadInstruction('train'	,  from_=-8_0	,  to=1_0	,  unit='%'	).to_spec() == "train[-80%:10%]"

       lowerCAmelCase__     	=					'train+test'
       assert ReadInstruction.from_spec(lowerCAmelCase__	).to_spec() == spec_train_test

       lowerCAmelCase__     	=					'train[2:10]'
       assert ReadInstruction.from_spec(lowerCAmelCase__	).to_spec() == spec_train_abs

       lowerCAmelCase__     	=					'train[15%:-20%]'
       assert ReadInstruction.from_spec(lowerCAmelCase__	).to_spec() == spec_train_pct

       lowerCAmelCase__     	=					'train[:10%](closest)'
       assert ReadInstruction.from_spec(lowerCAmelCase__	).to_spec() == "train[:10%]"

       lowerCAmelCase__     	=					'train[:10%](pct1_dropremainder)'
       assert ReadInstruction.from_spec(lowerCAmelCase__	).to_spec() == spec_train_pct_rounding

       lowerCAmelCase__     	=					'train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'
       assert ReadInstruction.from_spec(lowerCAmelCase__	).to_spec() == spec_train_test_pct_rounding






def       __lowerCamelCase		(						):
       lowerCAmelCase__     	=					'dummy'
       lowerCAmelCase__     	=					[SplitInfo(name='train'	,  num_examples=1_0_0	)]
       lowerCAmelCase__     	=					'train[:33%]'
       lowerCAmelCase__     	=					'arrow'
       lowerCAmelCase__     	=					'prefix'

       lowerCAmelCase__     	=					make_file_instructions(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       assert isinstance(lowerCAmelCase__	,  lowerCAmelCase__	)
       assert file_instructions.num_examples == 3_3
       assert file_instructions.file_instructions == [
           {"filename": os.path.join(lowerCAmelCase__	,  F"""{name}-train.arrow"""	), "skip": 0, "take": 3_3}
       ]

       lowerCAmelCase__     	=					[SplitInfo(name='train'	,  num_examples=1_0_0	,  shard_lengths=[1_0] * 1_0	)]
       lowerCAmelCase__     	=					make_file_instructions(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       assert isinstance(lowerCAmelCase__	,  lowerCAmelCase__	)
       assert file_instructions.num_examples == 3_3
       assert file_instructions.file_instructions == [
           {"filename": os.path.join(lowerCAmelCase__	,  F"""{name}-train-00000-of-00010.arrow"""	), "skip": 0, "take": -1},
           {"filename": os.path.join(lowerCAmelCase__	,  F"""{name}-train-00001-of-00010.arrow"""	), "skip": 0, "take": -1},
           {"filename": os.path.join(lowerCAmelCase__	,  F"""{name}-train-00002-of-00010.arrow"""	), "skip": 0, "take": -1},
           {"filename": os.path.join(lowerCAmelCase__	,  F"""{name}-train-00003-of-00010.arrow"""	), "skip": 0, "take": 3},
       ]






@pytest.mark.parametrize('name, expected_exception'	,  [(None, TypeError), ('', ValueError)]	)
def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					[SplitInfo(name='train'	,  num_examples=1_0_0	)]
       lowerCAmelCase__     	=					'train'
       lowerCAmelCase__     	=					'arrow'
       lowerCAmelCase__     	=					'prefix_path'
       with pytest.raises(lowerCAmelCase__	):
              lowerCAmelCase__     	=					make_file_instructions(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


UpperCamelCase__     :					Optional[Any]								=			logging.get_logger(__name__)

UpperCamelCase__     :					List[Any]								=			{
    "facebook/musicgen-small": "https://huggingface.co/facebook/musicgen-small/resolve/main/config.json",
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}



class 					__snake_case     (			lowerCAmelCase__				):
  __lowerCAmelCase   :		Any         =     'musicgen_decoder'
  __lowerCAmelCase   :		Optional[Any]         =     ['past_key_values']

  def __init__(    self  ,						_A=2048  ,						_A=2048  ,						_A=24  ,						_A=4096  ,						_A=16  ,						_A=0.0  ,						_A=True  ,						_A="gelu"  ,						_A=1024  ,						_A=0.1  ,						_A=0.0  ,						_A=0.0  ,						_A=0.0_2  ,						_A=False  ,						_A=4  ,						_A=2048  ,						_A=2048  ,						_A=None  ,						_A=False  ,						**_A  ,						):
      SCREAMING_SNAKE_CASE_													=  vocab_size
      SCREAMING_SNAKE_CASE_													=  max_position_embeddings
      SCREAMING_SNAKE_CASE_													=  hidden_size
      SCREAMING_SNAKE_CASE_													=  ffn_dim
      SCREAMING_SNAKE_CASE_													=  num_hidden_layers
      SCREAMING_SNAKE_CASE_													=  num_attention_heads
      SCREAMING_SNAKE_CASE_													=  dropout
      SCREAMING_SNAKE_CASE_													=  attention_dropout
      SCREAMING_SNAKE_CASE_													=  activation_dropout
      SCREAMING_SNAKE_CASE_													=  activation_function
      SCREAMING_SNAKE_CASE_													=  initializer_factor
      SCREAMING_SNAKE_CASE_													=  layerdrop
      SCREAMING_SNAKE_CASE_													=  use_cache
      SCREAMING_SNAKE_CASE_													=  scale_embedding  # scale factor will be sqrt(d_model) if True
      SCREAMING_SNAKE_CASE_													=  num_codebooks
      super().__init__(
          pad_token_id=_A  ,						bos_token_id=_A  ,						eos_token_id=_A  ,						tie_word_embeddings=_A  ,						**_A  ,						)






class 					__snake_case     (			lowerCAmelCase__				):
  __lowerCAmelCase   :		int         =     'musicgen'
  __lowerCAmelCase   :		Optional[Any]         =     True

  def __init__(    self  ,						**_A):
      super().__init__(**_A)
      if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
          raise ValueError('Config has to be initialized with text_encoder, audio_encoder and decoder config')

      SCREAMING_SNAKE_CASE_													=  kwargs.pop('text_encoder')
      SCREAMING_SNAKE_CASE_													=  text_encoder_config.pop('model_type')

      SCREAMING_SNAKE_CASE_													=  kwargs.pop('audio_encoder')
      SCREAMING_SNAKE_CASE_													=  audio_encoder_config.pop('model_type')

      SCREAMING_SNAKE_CASE_													=  kwargs.pop('decoder')

      SCREAMING_SNAKE_CASE_													=  AutoConfig.for_model(_A  ,						**_A)
      SCREAMING_SNAKE_CASE_													=  AutoConfig.for_model(_A  ,						**_A)
      SCREAMING_SNAKE_CASE_													=  MusicgenDecoderConfig(**_A)
      SCREAMING_SNAKE_CASE_													=  True

  @classmethod
  def   lowerCAmelCase__   (    cls  ,						_A  ,						_A  ,						_A  ,						**_A  ,						):
      return cls(
          text_encoder=text_encoder_config.to_dict()  ,						audio_encoder=audio_encoder_config.to_dict()  ,						decoder=decoder_config.to_dict()  ,						**_A  ,						)


  def   lowerCAmelCase__   (    self):
      SCREAMING_SNAKE_CASE_													=  copy.deepcopy(self.__dict__)
      SCREAMING_SNAKE_CASE_													=  self.text_encoder.to_dict()
      SCREAMING_SNAKE_CASE_													=  self.audio_encoder.to_dict()
      SCREAMING_SNAKE_CASE_													=  self.decoder.to_dict()
      SCREAMING_SNAKE_CASE_													=  self.__class__.model_type
      return output


