





from collections import OrderedDict
from typing import Mapping

from packaging import version

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


_A				:							Optional[int]							= logging.get_logger(__name__)

_A				:							List[str]							= {
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}



class 				__snake_case  (     UpperCamelCase_						):


    '''simple docstring'''







    lowerCamelCase__						:		Tuple							=  """swiftformer"""



    def __init__(					self      ,							A_=3      ,							A_=[3, 3, 6, 4]      ,							A_=[48, 56, 1_12, 2_20]      ,							A_=4      ,							A_=[True, True, True, True]      ,							A_="gelu"      ,							A_=3      ,							A_=2      ,							A_=1      ,							A_=0.0      ,							A_=True      ,							A_=1E-5      ,							A_=1E-5      ,							**A_      ,							):





        '''simple docstring'''

        super().__init__(**__SCREAMING_SNAKE_CASE    )
        SCREAMING_SNAKE_CASE__       							= num_channels
        SCREAMING_SNAKE_CASE__       							= depths
        SCREAMING_SNAKE_CASE__       							= embed_dims
        SCREAMING_SNAKE_CASE__       							= mlp_ratio
        SCREAMING_SNAKE_CASE__       							= downsamples
        SCREAMING_SNAKE_CASE__       							= hidden_act
        SCREAMING_SNAKE_CASE__       							= down_patch_size
        SCREAMING_SNAKE_CASE__       							= down_stride
        SCREAMING_SNAKE_CASE__       							= down_pad
        SCREAMING_SNAKE_CASE__       							= drop_path_rate
        SCREAMING_SNAKE_CASE__       							= use_layer_scale
        SCREAMING_SNAKE_CASE__       							= layer_scale_init_value
        SCREAMING_SNAKE_CASE__       							= batch_norm_eps





class 				__snake_case  (     UpperCamelCase_						):


    '''simple docstring'''







    lowerCamelCase__						:		List[Any]							=  version.parse("""1.11"""						)



    @property
    def    lowercase_				(					self    ):





        '''simple docstring'''

        return OrderedDict(
            [
                ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
            ]    )




    @property
    def    lowercase_				(					self    ):





        '''simple docstring'''

        return 1E-4







import io
import json
import subprocess


_A				:							str							= [
    ["""en""", """ru"""],
    ["""ru""", """en"""],
    ["""en""", """de"""],
    ["""de""", """en"""],
]

_A				:							int							= 8


def        __snake_case       (						lowerCAmelCase_   ,       lowerCAmelCase_  )							->	Optional[Any]:
    SCREAMING_SNAKE_CASE__       							= {}
    for src, tgt in pairs:
        SCREAMING_SNAKE_CASE__       							= f'''{src}-{tgt}'''
        SCREAMING_SNAKE_CASE__       							= f'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
        SCREAMING_SNAKE_CASE__       							= subprocess.run(lowerCAmelCase_   ,       stdout=subprocess.PIPE  ).stdout.decode('''utf-8'''  ).splitlines()
        SCREAMING_SNAKE_CASE__       							= f'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
        SCREAMING_SNAKE_CASE__       							= subprocess.run(lowerCAmelCase_   ,       stdout=subprocess.PIPE  ).stdout.decode('''utf-8'''  ).splitlines()
        SCREAMING_SNAKE_CASE__       							= {'''src''': src_lines[:n_objs], '''tgt''': tgt_lines[:n_objs]}
    return text


_A				:							Optional[Any]							= get_all_data(pairs, n_objs)
_A				:							Optional[Any]							= """./fsmt_val_data.json"""
with io.open(filename, """w""", encoding="""utf-8""") as f:
  _A				:							int							= json.dump(text, f, indent=2, ensure_ascii=False)
