
'''simple docstring'''

import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

UpperCAmelCase__				:	Union[str, Any]					=						[(1,)]







def 					A       ( )   ->    Union[str, Any]:







			'''simple docstring'''



			lowerCAmelCase__									=							bool(os.getenv("RUN_SLOW"  ,		0 ) )
			if run_slow:
						assert True
			else:
						assert False, "should have been skipped"







def 					A       ( )   ->    Union[str, Any]:







			'''simple docstring'''



			lowerCAmelCase__									=							bool(os.getenv("RUN_SLOW"  ,		0 ) )
			if run_slow and torch_device == "cuda":
						assert True
			else:
						assert False, "should have been skipped"






@require_torch
class 				A       (		unittest.TestCase      ):





	@slow
	@require_torch_gpu
	def 							__SCREAMING_SNAKE_CASE					(   self     :    Union[str, Any]							):


				"""simple docstring"""

				check_slow_torch_cuda()





	@require_torch_gpu
	@slow
	def 							__SCREAMING_SNAKE_CASE					(   self     :    Any							):


				"""simple docstring"""

				check_slow_torch_cuda()







	@parameterized.expand(__snake_case							)
	@slow
	def 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[Any] ,							__magic_name__     :    Union[str, Any]=None							):


				"""simple docstring"""

				check_slow()







@slow
@require_torch_gpu
def 					A       ( )   ->    Optional[Any]:







			'''simple docstring'''



			check_slow_torch_cuda()







@require_torch_gpu
@slow
def 					A       ( )   ->    Any:







			'''simple docstring'''



			check_slow_torch_cuda()







@slow
@pytest.mark.parametrize("param"  ,		[1] )
def 					A       ( UpperCamelCase_   :       Union[str, Any] )   ->    Any:







			'''simple docstring'''



			check_slow()







@pytest.mark.parametrize("param"  ,		[1] )
@slow
def 					A       ( UpperCamelCase_   :       List[str] )   ->    Dict:







			'''simple docstring'''



			check_slow()







'''simple docstring'''

# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    "--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000"
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/





