





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_		     = {
    """alibaba-damo/mgp-str-base""": """https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json""",
}

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Any				=    "mgp-str"






     def __init__(							self		:					List[Any]		,lowerCamelCase__		:					List[str]=[32, 128]		,lowerCamelCase__		:					List[Any]=4		,lowerCamelCase__		:					Any=3		,lowerCamelCase__		:					Tuple=27		,lowerCamelCase__		:					Union[str, Any]=38		,lowerCamelCase__		:					Any=50257		,lowerCamelCase__		:					List[Any]=30522		,lowerCamelCase__		:					int=768		,lowerCamelCase__		:					Optional[Any]=12		,lowerCamelCase__		:					List[str]=12		,lowerCamelCase__		:					str=4.0		,lowerCamelCase__		:					Union[str, Any]=True		,lowerCamelCase__		:					Union[str, Any]=False		,lowerCamelCase__		:					Tuple=1e-5		,lowerCamelCase__		:					str=0.0		,lowerCamelCase__		:					Tuple=0.0		,lowerCamelCase__		:					str=0.0		,lowerCamelCase__		:					Optional[Any]=False		,lowerCamelCase__		:					List[str]=0.02		,**lowerCamelCase__		:					Tuple		,)  ->	Dict:




           '''simple docstring'''


           super().__init__(**lowerCamelCase__ )

           SCREAMING_SNAKE_CASE	=		image_size
           SCREAMING_SNAKE_CASE	=		patch_size
           SCREAMING_SNAKE_CASE	=		num_channels
           SCREAMING_SNAKE_CASE	=		max_token_length
           SCREAMING_SNAKE_CASE	=		num_character_labels
           SCREAMING_SNAKE_CASE	=		num_bpe_labels
           SCREAMING_SNAKE_CASE	=		num_wordpiece_labels
           SCREAMING_SNAKE_CASE	=		hidden_size
           SCREAMING_SNAKE_CASE	=		num_hidden_layers
           SCREAMING_SNAKE_CASE	=		num_attention_heads
           SCREAMING_SNAKE_CASE	=		mlp_ratio
           SCREAMING_SNAKE_CASE	=		distilled
           SCREAMING_SNAKE_CASE	=		layer_norm_eps
           SCREAMING_SNAKE_CASE	=		drop_rate
           SCREAMING_SNAKE_CASE	=		qkv_bias
           SCREAMING_SNAKE_CASE	=		attn_drop_rate
           SCREAMING_SNAKE_CASE	=		drop_path_rate
           SCREAMING_SNAKE_CASE	=		output_aa_attentions
           SCREAMING_SNAKE_CASE	=		initializer_range









import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     str:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		[]
      for line in lines:
            SCREAMING_SNAKE_CASE	=		re.sub(r"""#.*"""				,		""""""				,		_SCREAMING_SNAKE_CASE			)  # remove comments
            if line:
                  filtered_lines.append(_SCREAMING_SNAKE_CASE			)
      SCREAMING_SNAKE_CASE	=		"""\n""".join(_SCREAMING_SNAKE_CASE			)

      # Make a hash from all this code
      SCREAMING_SNAKE_CASE	=		full_str.encode("""utf-8"""			)
      return shaaaa(_SCREAMING_SNAKE_CASE			).hexdigest()


# get importable module names and hash for caching
SCREAMING_SNAKE_CASE_		     = {
    """csv""": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    """json""": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    """pandas""": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    """parquet""": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    """arrow""": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    """text""": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    """imagefolder""": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    """audiofolder""": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
SCREAMING_SNAKE_CASE_		     = {
    """.csv""": ("""csv""", {}),
    """.tsv""": ("""csv""", {"""sep""": """\t"""}),
    """.json""": ("""json""", {}),
    """.jsonl""": ("""json""", {}),
    """.parquet""": ("""parquet""", {}),
    """.arrow""": ("""arrow""", {}),
    """.txt""": ("""text""", {}),
}
_EXTENSION_TO_MODULE.update({ext: ("""imagefolder""", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("""imagefolder""", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ("""audiofolder""", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("""audiofolder""", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
SCREAMING_SNAKE_CASE_		     = {"""imagefolder""", """audiofolder"""}

# Used to filter data files based on extensions given a module name
SCREAMING_SNAKE_CASE_		     = {}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
      _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append(""".zip""")



_MODULE_TO_EXTENSIONS["audiofolder"].append(""".zip""")


