





import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
  import tensorflow as tf

  from transformers.activations_tf import get_tf_activation



@require_tf
class 				__snake_case  (     unittest.TestCase						):


    '''simple docstring'''







    def    lowercase_				(					self    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= tf.constant([-1_00, -1.0, -0.1, 0, 0.1, 1.0, 100.0]    )
        SCREAMING_SNAKE_CASE__       							= get_tf_activation('''gelu'''    )
        SCREAMING_SNAKE_CASE__       							= get_tf_activation('''gelu_10'''    )

        SCREAMING_SNAKE_CASE__       							= gelu(A_    )
        SCREAMING_SNAKE_CASE__       							= geluaa(A_    )

        SCREAMING_SNAKE_CASE__       							= tf.where(y_gelu_aa < 10.0      ,							1.0      ,							0.0    )

        self.assertEqual(tf.math.reduce_max(A_    ).numpy().item()      ,							10.0    )
        self.assertTrue(np.allclose(y_gelu * clipped_mask      ,							y_gelu_aa * clipped_mask    )    )




    def    lowercase_				(					self    ):





        '''simple docstring'''

        get_tf_activation('''gelu'''    )
        get_tf_activation('''gelu_10'''    )
        get_tf_activation('''gelu_fast'''    )
        get_tf_activation('''gelu_new'''    )
        get_tf_activation('''glu'''    )
        get_tf_activation('''mish'''    )
        get_tf_activation('''quick_gelu'''    )
        get_tf_activation('''relu'''    )
        get_tf_activation('''sigmoid'''    )
        get_tf_activation('''silu'''    )
        get_tf_activation('''swish'''    )
        get_tf_activation('''tanh'''    )
        with self.assertRaises(A_    ):
            get_tf_activation('''bogus'''    )
        with self.assertRaises(A_    ):
            get_tf_activation(A_    )







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)
