
"""simple docstring"""





import asyncio
import os
import re
import sys
import tempfile
import unittest
from contextlib import contextmanager
from copy import deepcopy
from distutils.util import strtobool
from enum import Enum
from importlib.util import find_spec
from pathlib import Path
from unittest.mock import patch

import pyarrow as pa
import pytest
import requests
from packaging import version

from datasets import config


if config.PY_VERSION < version.parse("""3.8"""):
				import importlib_metadata
else:
				import importlib.metadata as importlib_metadata



def  lowerCamelCase__						(     __snake_case,	__snake_case=False      )				->						List[str]:


					"""simple docstring"""





					try:
										_UpperCamelCase									=    os.environ[key]
					except KeyError:
										# KEY isn't set, default to `default`.
										_UpperCamelCase									=    default
					else:
										# KEY is set, convert it to True or False.
										try:
															_UpperCamelCase									=    strtobool(__snake_case      )
										except ValueError:
															# More values are supported, but let's keep the message simple.
															raise ValueError(F'''If set, {key} must be yes or no.'''      )
					return _value


_a								=						parse_flag_from_env("""RUN_SLOW""", default=False)
_a								=						parse_flag_from_env("""RUN_REMOTE""", default=False)
_a								=						parse_flag_from_env("""RUN_LOCAL""", default=True)
_a								=						parse_flag_from_env("""RUN_PACKAGED""", default=True)

# Compression
_a								=						pytest.mark.skipif(not config.LZ4_AVAILABLE, reason="""test requires lz4""")
_a								=						pytest.mark.skipif(not config.PY7ZR_AVAILABLE, reason="""test requires py7zr""")
_a								=						pytest.mark.skipif(not config.ZSTANDARD_AVAILABLE, reason="""test requires zstandard""")

# Audio
_a								=						pytest.mark.skipif(
    # On Windows and OS X, soundfile installs sndfile
    find_spec("""soundfile""") is None or version.parse(importlib_metadata.version("""soundfile""")) < version.parse("""0.12.0"""),
    reason="""test requires sndfile>=0.12.1: 'pip install \"soundfile>=0.12.1\"'; """,
)

# Beam
_a								=						pytest.mark.skipif(
    not config.BEAM_AVAILABLE or config.DILL_VERSION >= version.parse("""0.3.2"""),
    reason="""test requires apache-beam and a compatible dill version""",
)

# Dill-cloudpickle compatibility
_a								=						pytest.mark.skipif(
    config.DILL_VERSION <= version.parse("""0.3.2"""),
    reason="""test requires dill>0.3.2 for cloudpickle compatibility""",
)

# Windows
_a								=						pytest.mark.skipif(
    sys.platform == """win32""",
    reason="""test should not be run on Windows""",
)



def  lowerCamelCase__						(     __snake_case      )				->						Optional[Any]:


					"""simple docstring"""





					try:
										import faiss  # noqa
					except ImportError:
										_UpperCamelCase									=    unittest.skip('''test requires faiss'''      )(__snake_case      )
					return test_case



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


					"""simple docstring"""





					try:
										import regex  # noqa
					except ImportError:
										_UpperCamelCase									=    unittest.skip('''test requires regex'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Tuple:


					"""simple docstring"""





					try:
										import elasticsearch  # noqa
					except ImportError:
										_UpperCamelCase									=    unittest.skip('''test requires elasticsearch'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Dict:


					"""simple docstring"""





					try:
										import sqlalchemy  # noqa
					except ImportError:
										_UpperCamelCase									=    unittest.skip('''test requires sqlalchemy'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Optional[Any]:


					"""simple docstring"""





					if not config.TORCH_AVAILABLE:
										_UpperCamelCase									=    unittest.skip('''test requires PyTorch'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Any:


					"""simple docstring"""





					if not config.TF_AVAILABLE:
										_UpperCamelCase									=    unittest.skip('''test requires TensorFlow'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Dict:


					"""simple docstring"""





					if not config.JAX_AVAILABLE:
										_UpperCamelCase									=    unittest.skip('''test requires JAX'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						List[str]:


					"""simple docstring"""





					if not config.PIL_AVAILABLE:
										_UpperCamelCase									=    unittest.skip('''test requires Pillow'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						List[Any]:


					"""simple docstring"""





					try:
										import transformers  # noqa F401
					except ImportError:
										return unittest.skip('''test requires transformers'''      )(__snake_case      )
					else:
										return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Optional[int]:


					"""simple docstring"""





					try:
										import tiktoken  # noqa F401
					except ImportError:
										return unittest.skip('''test requires tiktoken'''      )(__snake_case      )
					else:
										return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Tuple:


					"""simple docstring"""





					try:
										import spacy  # noqa F401
					except ImportError:
										return unittest.skip('''test requires spacy'''      )(__snake_case      )
					else:
										return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Any:


					"""simple docstring"""





					def _require_spacy_model(__snake_case      ):
										try:
															import spacy  # noqa F401

															spacy.load(__snake_case      )
										except ImportError:
															return unittest.skip('''test requires spacy'''      )(__snake_case      )
										except OSError:
															return unittest.skip('''test requires spacy model \'{}\''''.format(__snake_case      )      )(__snake_case      )
										else:
															return test_case

					return _require_spacy_model



def  lowerCamelCase__						(     __snake_case      )				->						str:


					"""simple docstring"""





					try:
										import pyspark  # noqa F401
					except ImportError:
										return unittest.skip('''test requires pyspark'''      )(__snake_case      )
					else:
										return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Dict:


					"""simple docstring"""





					try:
										import joblibspark  # noqa F401
					except ImportError:
										return unittest.skip('''test requires joblibspark'''      )(__snake_case      )
					else:
										return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Any:


					"""simple docstring"""





					if not _run_slow_tests or _run_slow_tests == 0:
										_UpperCamelCase									=    unittest.skip('''test is slow'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Optional[int]:


					"""simple docstring"""





					if not _run_local_tests or _run_local_tests == 0:
										_UpperCamelCase									=    unittest.skip('''test is local'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Optional[Any]:


					"""simple docstring"""





					if not _run_packaged_tests or _run_packaged_tests == 0:
										_UpperCamelCase									=    unittest.skip('''test is packaged'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     __snake_case      )				->						Optional[Any]:


					"""simple docstring"""





					if not _run_remote_tests or _run_remote_tests == 0:
										_UpperCamelCase									=    unittest.skip('''test requires remote'''      )(__snake_case      )
					return test_case



def  lowerCamelCase__						(     *__snake_case      )				->						str:


					"""simple docstring"""





					def decorate(cls      ):
										for name, fn in cls.__dict__.items():
															if callable(__snake_case      ) and name.startswith('''test'''      ):
																				for decorator in decorators:
																									_UpperCamelCase									=    decorator(__snake_case      )
																				setattr(cls,	__snake_case,	__snake_case      )
										return cls

					return decorate






class        _UpperCAmelCase(       lowerCamelCase      ):
		pass






class        _UpperCAmelCase(       lowerCamelCase      ):
		lowercase__         = 0
		lowercase__         = 1
		lowercase__         = 2





@contextmanager
def  lowerCamelCase__						(     __snake_case=OfflineSimulationMode.CONNECTION_FAILS,	__snake_case=1e-16      )				->						str:


					"""simple docstring"""





					_UpperCamelCase									=    requests.Session().request

					def timeout_request(__snake_case,	__snake_case,	__snake_case,	**__snake_case      ):
										# Change the url to an invalid url so that the connection hangs
										_UpperCamelCase									=    '''https://10.255.255.1'''
										if kwargs.get('''timeout'''      ) is None:
															raise RequestWouldHangIndefinitelyError(
															    F'''Tried a call to {url} in offline mode with no timeout set. Please set a timeout.'''      )
										_UpperCamelCase									=    timeout
										try:
															return online_request(__snake_case,	__snake_case,	**__snake_case      )
										except Exception as e:
															# The following changes in the error are just here to make the offline timeout error prettier
															_UpperCamelCase									=    url
															_UpperCamelCase									=    e.args[0]
															_UpperCamelCase									=    (max_retry_error.args[0].replace('''10.255.255.1''',	F'''OfflineMock[{url}]'''      ),)
															_UpperCamelCase									=    (max_retry_error,)
															raise

					def raise_connection_error(__snake_case,	__snake_case,	**__snake_case      ):
										raise requests.ConnectionError('''Offline mode is enabled.''',	request=__snake_case      )

					if mode is OfflineSimulationMode.CONNECTION_FAILS:
										with patch('''requests.Session.send''',	__snake_case      ):
															yield
					elif mode is OfflineSimulationMode.CONNECTION_TIMES_OUT:
										# inspired from https://stackoverflow.com/a/904609
										with patch('''requests.Session.request''',	__snake_case      ):
															yield
					elif mode is OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1:
										with patch('''datasets.config.HF_DATASETS_OFFLINE''',	__snake_case      ):
															yield
					else:
										raise ValueError('''Please use a value from the OfflineSimulationMode enum.'''      )



@contextmanager
def  lowerCamelCase__						(     *__snake_case,	**__snake_case      )				->						str:


					"""simple docstring"""





					_UpperCamelCase									=    str(Path().resolve()      )
					with tempfile.TemporaryDirectory(*__snake_case,	**__snake_case      ) as tmp_dir:
										try:
															os.chdir(__snake_case      )
															yield
										finally:
															os.chdir(__snake_case      )



@contextmanager
def  lowerCamelCase__						(     )				->						List[str]:


					"""simple docstring"""





					import gc

					gc.collect()
					_UpperCamelCase									=    pa.total_allocated_bytes()
					yield
					assert pa.total_allocated_bytes() - previous_allocated_memory > 0, "Arrow memory didn't increase."



@contextmanager
def  lowerCamelCase__						(     )				->						int:


					"""simple docstring"""





					import gc

					gc.collect()
					_UpperCamelCase									=    pa.total_allocated_bytes()
					yield
					assert pa.total_allocated_bytes() - previous_allocated_memory <= 0, "Arrow memory wasn't expected to increase."



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


					"""simple docstring"""





					return deepcopy(__snake_case      ).integers(0,	1_00,	10      ).tolist() == deepcopy(__snake_case      ).integers(0,	1_00,	10      ).tolist()



def  lowerCamelCase__						(     __snake_case      )				->						Dict:


					"""simple docstring"""





					import decorator
					from requests.exceptions import HTTPError

					def _wrapper(__snake_case,	*__snake_case,	**__snake_case      ):
										try:
															return func(*__snake_case,	**__snake_case      )
										except HTTPError as err:
															if str(__snake_case      ).startswith('''500'''      ) or str(__snake_case      ).startswith('''502'''      ):
																				pytest.xfail(str(__snake_case      )      )
															raise err

					return decorator.decorator(_wrapper,	__snake_case      )






class        _UpperCAmelCase:



		def __init__(   self							,						__a							,						__a							,						__a)			->			List[str]:






							'''simple docstring'''
							_UpperCamelCase									=    returncode
							_UpperCamelCase									=    stdout
							_UpperCamelCase									=    stderr





async def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						List[Any]:


					"""simple docstring"""





					while True:
										_UpperCamelCase									=    await stream.readline()
										if line:
															callback(__snake_case      )
										else:
															break



async def  lowerCamelCase__						(     __snake_case,	__snake_case=None,	__snake_case=None,	__snake_case=None,	__snake_case=False,	__snake_case=False      )				->						_RunOutput:


					"""simple docstring"""





					if echo:
										print('''\nRunning: ''',	''' '''.join(__snake_case      )      )

					_UpperCamelCase									=    await asyncio.create_subprocess_exec(
					    cmd[0],	*cmd[1:],	stdin=__snake_case,	stdout=asyncio.subprocess.PIPE,	stderr=asyncio.subprocess.PIPE,	env=__snake_case,	)

					# note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
					# https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
					#
					# If it starts hanging, will need to switch to the following code. The problem is that no data
					# will be seen until it's done and if it hangs for example there will be no debug info.
					# out, err = await p.communicate()
					# return _RunOutput(p.returncode, out, err)

					_UpperCamelCase									=    []
					_UpperCamelCase									=    []

					def tee(__snake_case,	__snake_case,	__snake_case,	__snake_case=""      ):
										_UpperCamelCase									=    line.decode('''utf-8'''      ).rstrip()
										sink.append(__snake_case      )
										if not quiet:
															print(__snake_case,	__snake_case,	file=__snake_case      )

    # XXX: the timeout doesn't seem to make any difference here
					await asyncio.wait(
					    [
					        _read_stream(p.stdout,	lambda __snake_case      : tee(__snake_case,	__snake_case,	sys.stdout,	label='''stdout:'''      )      ),
					        _read_stream(p.stderr,	lambda __snake_case      : tee(__snake_case,	__snake_case,	sys.stderr,	label='''stderr:'''      )      ),
					    ],	timeout=__snake_case,	)
					return _RunOutput(await p.wait(),	__snake_case,	__snake_case      )



def  lowerCamelCase__						(     __snake_case,	__snake_case=None,	__snake_case=None,	__snake_case=1_80,	__snake_case=False,	__snake_case=True      )				->						_RunOutput:


					"""simple docstring"""





					_UpperCamelCase									=    asyncio.get_event_loop()
					_UpperCamelCase									=    loop.run_until_complete(
					    _stream_subprocess(__snake_case,	env=__snake_case,	stdin=__snake_case,	timeout=__snake_case,	quiet=__snake_case,	echo=__snake_case      )      )

					_UpperCamelCase									=    ''' '''.join(__snake_case      )
					if result.returncode > 0:
										_UpperCamelCase									=    '''\n'''.join(result.stderr      )
										raise RuntimeError(
										    F'''\'{cmd_str}\' failed with returncode {result.returncode}\n\n'''
										    F'''The combined stderr from workers follows:\n{stderr}'''      )

					# check that the subprocess actually did run and produced some output, should the test rely on
					# the remote side to do the testing
					if not result.stdout and not result.stderr:
										raise RuntimeError(F'''\'{cmd_str}\' produced no output.'''      )

					return result



def  lowerCamelCase__						(     )				->						List[Any]:


					"""simple docstring"""





					_UpperCamelCase									=    os.environ.get('''PYTEST_XDIST_WORKER''',	'''gw0'''      )
					_UpperCamelCase									=    re.sub(r'''^gw''',	'''''',	__snake_case,	0,	re.M      )
					return int(__snake_case      )



def  lowerCamelCase__						(     )				->						Optional[Any]:


					"""simple docstring"""





					_UpperCamelCase									=    2_95_00
					_UpperCamelCase									=    pytest_xdist_worker_id()
					return port + uniq_delta








"""simple docstring"""





import unittest

from transformers import PegasusConfig, PegasusTokenizer, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor


if is_flax_available():
				import os

				# The slow tests are often failing with OOM error on GPU
				# This makes JAX allocate exactly what is needed on demand, and deallocate memory that is no longer needed
				# but will be slower as stated here https://jax.readthedocs.io/en/latest/gpu_memory_allocation.html
				_a								=						"""platform"""
				import jax
				import jax.numpy as jnp
				import numpy as np

				from transformers import FlaxPegasusForConditionalGeneration, FlaxPegasusModel






@require_flax
class        _UpperCAmelCase:
		lowercase__         = PegasusConfig
		lowercase__         = {}
		lowercase__         = 'gelu'



		def __init__(   self							,						__a							,						__a=13							,						__a=7							,						__a=True							,						__a=False							,						__a=99							,						__a=32							,						__a=5							,						__a=4							,						__a=37							,						__a=0.1							,						__a=0.1							,						__a=20							,						__a=2							,						__a=1							,						__a=0							,						)			->			int:






							'''simple docstring'''
							_UpperCamelCase									=    parent
							_UpperCamelCase									=    batch_size
							_UpperCamelCase									=    seq_length
							_UpperCamelCase									=    is_training
							_UpperCamelCase									=    use_labels
							_UpperCamelCase									=    vocab_size
							_UpperCamelCase									=    hidden_size
							_UpperCamelCase									=    num_hidden_layers
							_UpperCamelCase									=    num_attention_heads
							_UpperCamelCase									=    intermediate_size

							_UpperCamelCase									=    hidden_dropout_prob
							_UpperCamelCase									=    attention_probs_dropout_prob
							_UpperCamelCase									=    max_position_embeddings
							_UpperCamelCase									=    eos_token_id
							_UpperCamelCase									=    pad_token_id
							_UpperCamelCase									=    bos_token_id



		def 		UpperCAmelCase				(   self)			->			int:






							'''simple docstring'''
							_UpperCamelCase									=    ids_tensor([self.batch_size, self.seq_length - 1]							,						self.vocab_size).clip(3							,						self.vocab_size)
							_UpperCamelCase									=    np.expand_dims(np.array([self.eos_token_id] * self.batch_size)							,						1)
							_UpperCamelCase									=    np.concatenate([input_ids, eos_tensor]							,						axis=1)

							_UpperCamelCase									=    ids_tensor([self.batch_size, self.seq_length]							,						self.vocab_size)

							_UpperCamelCase									=    self.config_cls(
							    vocab_size=self.vocab_size							,						d_model=self.hidden_size							,						encoder_layers=self.num_hidden_layers							,						decoder_layers=self.num_hidden_layers							,						encoder_attention_heads=self.num_attention_heads							,						decoder_attention_heads=self.num_attention_heads							,						encoder_ffn_dim=self.intermediate_size							,						decoder_ffn_dim=self.intermediate_size							,						dropout=self.hidden_dropout_prob							,						attention_dropout=self.attention_probs_dropout_prob							,						max_position_embeddings=self.max_position_embeddings							,						eos_token_ids=[2]							,						bos_token_id=self.bos_token_id							,						pad_token_id=self.pad_token_id							,						decoder_start_token_id=self.pad_token_id							,						**self.config_updates							,						)
							_UpperCamelCase									=    prepare_pegasus_inputs_dict(__a							,						__a							,						__a)
							return config, inputs_dict



		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a)			->			Tuple:






							'''simple docstring'''
							_UpperCamelCase									=    20
							_UpperCamelCase									=    model_class_name(__a)

							_UpperCamelCase									=    model.encode(inputs_dict['''input_ids'''])

							_UpperCamelCase					,    _UpperCamelCase									=    (
							    inputs_dict['''decoder_input_ids'''],
							    inputs_dict['''decoder_attention_mask'''],
							)

							_UpperCamelCase									=    model.init_cache(decoder_input_ids.shape[0]							,						__a							,						__a)
							_UpperCamelCase									=    jnp.ones((decoder_input_ids.shape[0], max_decoder_length)							,						dtype='''i4''')

							_UpperCamelCase									=    jnp.broadcast_to(
							    jnp.arange(decoder_input_ids.shape[-1] - 1)[None, :]							,						(decoder_input_ids.shape[0], decoder_input_ids.shape[-1] - 1)							,						)
							_UpperCamelCase									=    model.decode(
							    decoder_input_ids[:, :-1]							,						__a							,						decoder_attention_mask=__a							,						past_key_values=__a							,						decoder_position_ids=__a							,						)

							_UpperCamelCase									=    jnp.array(decoder_input_ids.shape[0] * [[decoder_input_ids.shape[-1] - 1]]							,						dtype='''i4''')
							_UpperCamelCase									=    model.decode(
							    decoder_input_ids[:, -1:]							,						__a							,						decoder_attention_mask=__a							,						past_key_values=outputs_cache.past_key_values							,						decoder_position_ids=__a							,						)

							_UpperCamelCase									=    model.decode(__a							,						__a)

							_UpperCamelCase									=    np.max(np.abs((outputs_cache_next[0][:, -1, :5] - outputs[0][:, -1, :5])))
							self.parent.assertTrue(diff < 1e-3							,						msg=F'''Max diff is {diff}''')




		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a)			->			Tuple:






							'''simple docstring'''
							_UpperCamelCase									=    20
							_UpperCamelCase									=    model_class_name(__a)

							_UpperCamelCase									=    model.encode(inputs_dict['''input_ids'''])

							_UpperCamelCase					,    _UpperCamelCase									=    (
							    inputs_dict['''decoder_input_ids'''],
							    inputs_dict['''decoder_attention_mask'''],
							)

							_UpperCamelCase									=    jnp.concatenate(
							    [
							        decoder_attention_mask,
							        jnp.zeros((decoder_attention_mask.shape[0], max_decoder_length - decoder_attention_mask.shape[1])),
							    ]							,						axis=-1							,						)

							_UpperCamelCase									=    model.init_cache(decoder_input_ids.shape[0]							,						__a							,						__a)
							_UpperCamelCase									=    jnp.broadcast_to(
							    jnp.arange(decoder_input_ids.shape[-1] - 1)[None, :]							,						(decoder_input_ids.shape[0], decoder_input_ids.shape[-1] - 1)							,						)

							_UpperCamelCase									=    model.decode(
							    decoder_input_ids[:, :-1]							,						__a							,						decoder_attention_mask=__a							,						past_key_values=__a							,						decoder_position_ids=__a							,						)
							_UpperCamelCase									=    jnp.array(decoder_input_ids.shape[0] * [[decoder_input_ids.shape[-1] - 1]]							,						dtype='''i4''')
							_UpperCamelCase									=    model.decode(
							    decoder_input_ids[:, -1:]							,						__a							,						past_key_values=outputs_cache.past_key_values							,						decoder_attention_mask=__a							,						decoder_position_ids=__a							,						)

							_UpperCamelCase									=    model.decode(__a							,						__a							,						decoder_attention_mask=__a)

							_UpperCamelCase									=    np.max(np.abs((outputs_cache_next[0][:, -1, :5] - outputs[0][:, -1, :5])))
							self.parent.assertTrue(diff < 1e-3							,						msg=F'''Max diff is {diff}''')





def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case,	__snake_case=None,	__snake_case=None,	)				->						Union[str, Any]:


					"""simple docstring"""





					if attention_mask is None:
										_UpperCamelCase									=    np.not_equal(__snake_case,	config.pad_token_id      ).astype(np.inta      )
					if decoder_attention_mask is None:
										_UpperCamelCase									=    np.concatenate(
										    [
										        np.ones(decoder_input_ids[:, :1].shape,	dtype=np.inta      ),
										        np.not_equal(decoder_input_ids[:, 1:],	config.pad_token_id      ).astype(np.inta      ),
										    ],	axis=-1,	)
					return {
					    "input_ids": input_ids,
					    "decoder_input_ids": decoder_input_ids,
					    "attention_mask": attention_mask,
					    "decoder_attention_mask": decoder_attention_mask,
					}






@require_flax
class        _UpperCAmelCase(       lowerCamelCase ,	unittest.TestCase      ):
		lowercase__         = (
		    (
		        FlaxPegasusForConditionalGeneration,
		        FlaxPegasusModel,
		    )
		    if is_flax_available()
		    else ()
		)
		lowercase__         = (FlaxPegasusForConditionalGeneration,) if is_flax_available() else ()
		lowercase__         = True
		lowercase__         = False
		lowercase__         = False
		lowercase__         = False



		def 		UpperCAmelCase				(   self)			->			Any:






							'''simple docstring'''
							_UpperCamelCase									=    FlaxPegasusModelTester(self)
							_UpperCamelCase									=    ConfigTester(self							,						config_class=__a)



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






							'''simple docstring'''
							self.config_tester.run_common_tests()



		def 		UpperCAmelCase				(   self)			->			Tuple:






							'''simple docstring'''
							_UpperCamelCase					,    _UpperCamelCase									=    self.model_tester.prepare_config_and_inputs_for_common()
							for model_class in self.all_model_classes:
												self.model_tester.check_use_cache_forward(__a							,						__a							,						__a)



		def 		UpperCAmelCase				(   self)			->			Optional[Any]:






							'''simple docstring'''
							_UpperCamelCase					,    _UpperCamelCase									=    self.model_tester.prepare_config_and_inputs_for_common()
							for model_class in self.all_model_classes:
												self.model_tester.check_use_cache_forward_with_attn_mask(__a							,						__a							,						__a)



		def 		UpperCAmelCase				(   self)			->			Optional[int]:






							'''simple docstring'''
							_UpperCamelCase					,    _UpperCamelCase									=    self.model_tester.prepare_config_and_inputs_for_common()

							for model_class in self.all_model_classes:
												with self.subTest(model_class.__name__):
																	_UpperCamelCase									=    self._prepare_for_class(__a							,						__a)
																	_UpperCamelCase									=    model_class(__a)

																	@jax.jit
																	def encode_jitted(__a							,						__a=None							,						**__a):
																						return model.encode(input_ids=__a							,						attention_mask=__a)

																	with self.subTest('''JIT Enabled'''):
																						_UpperCamelCase									=    encode_jitted(**__a).to_tuple()

																	with self.subTest('''JIT Disabled'''):
																						with jax.disable_jit():
																											_UpperCamelCase									=    encode_jitted(**__a).to_tuple()

																	self.assertEqual(len(__a)							,						len(__a))
																	for jitted_output, output in zip(__a							,						__a):
																						self.assertEqual(jitted_output.shape							,						output.shape)



		def 		UpperCAmelCase				(   self)			->			str:






							'''simple docstring'''
							_UpperCamelCase					,    _UpperCamelCase									=    self.model_tester.prepare_config_and_inputs_for_common()

							for model_class in self.all_model_classes:
												with self.subTest(model_class.__name__):
																	_UpperCamelCase									=    model_class(__a)
																	_UpperCamelCase									=    model.encode(inputs_dict['''input_ids''']							,						inputs_dict['''attention_mask'''])

																	_UpperCamelCase									=    {
																	    '''decoder_input_ids''': inputs_dict['''decoder_input_ids'''],
																	    '''decoder_attention_mask''': inputs_dict['''decoder_attention_mask'''],
																	    '''encoder_outputs''': encoder_outputs,
																	}

																	@jax.jit
																	def decode_jitted(__a							,						__a							,						__a):
																						return model.decode(
																						    decoder_input_ids=__a							,						decoder_attention_mask=__a							,						encoder_outputs=__a							,						)

																	with self.subTest('''JIT Enabled'''):
																						_UpperCamelCase									=    decode_jitted(**__a).to_tuple()

																	with self.subTest('''JIT Disabled'''):
																						with jax.disable_jit():
																											_UpperCamelCase									=    decode_jitted(**__a).to_tuple()

																	self.assertEqual(len(__a)							,						len(__a))
																	for jitted_output, output in zip(__a							,						__a):
																						self.assertEqual(jitted_output.shape							,						output.shape)



		@slow
		def 		UpperCAmelCase				(   self)			->			int:






							'''simple docstring'''
							for model_class_name in self.all_model_classes:
												_UpperCamelCase									=    model_class_name.from_pretrained('''google/pegasus-large'''							,						from_pt=__a)
												_UpperCamelCase									=    np.ones((1, 1))
												_UpperCamelCase									=    model(__a)
												self.assertIsNotNone(__a)




		@slow
		def 		UpperCAmelCase				(   self)			->			Optional[int]:






							'''simple docstring'''
							_UpperCamelCase									=    FlaxPegasusForConditionalGeneration.from_pretrained('''google/pegasus-xsum''')
							_UpperCamelCase									=    PegasusTokenizer.from_pretrained('''google/pegasus-xsum''')

							_UpperCamelCase									=    [
							    ''' PG&E stated it scheduled the blackouts in response to forecasts for high winds amid dry conditions. The aim is to reduce the risk of wildfires. Nearly 800 thousand customers were scheduled to be affected by the shutoffs which were expected to last through at least midday tomorrow.''',
							    ''' The London trio are up for best UK act and best album, as well as getting two nominations in the best song category."We got told like this morning \'Oh I think you\'re nominated\'", said Dappy."And I was like \'Oh yeah, which one?\' And now we\'ve got nominated for four awards. I mean, wow!"Bandmate Fazer added: "We thought it\'s best of us to come down and mingle with everyone and say hello to the cameras. And now we find we\'ve got four nominations."The band have two shots at the best song prize, getting the nod for their Tynchy Stryder collaboration Number One, and single Strong Again.Their album Uncle B will also go up against records by the likes of Beyonce and Kanye West.N-Dubz picked up the best newcomer Mobo in 2007, but female member Tulisa said they wouldn\'t be too disappointed if they didn\'t win this time around."At the end of the day we\'re grateful to be where we are in our careers."If it don\'t happen then it don\'t happen - live to fight another day and keep on making albums and hits for the fans."Dappy also revealed they could be performing live several times on the night.The group will be doing Number One and also a possible rendition of the War Child single, I Got Soul.The charity song is a  re-working of The Killers\' All These Things That I\'ve Done and is set to feature artists like Chipmunk, Ironik and Pixie Lott.This year\'s Mobos will be held outside of London for the first time, in Glasgow on 30 September.N-Dubz said they were looking forward to performing for their Scottish fans and boasted about their recent shows north of the border."We just done Edinburgh the other day," said Dappy."We smashed up an N-Dubz show over there. We done Aberdeen about three or four months ago - we smashed up that show over there! Everywhere we go we smash it up!" ''',
							]

							_UpperCamelCase									=    [
							    '''California\'s largest electricity provider has turned off power to hundreds of thousands of customers.''',
							    '''Pop group N-Dubz have revealed they were surprised to get four nominations for this year\'s Mobo Awards.''',
							]

							_UpperCamelCase									=    tokenizer(__a							,						return_tensors='''np'''							,						truncation=__a							,						max_length=5_12							,						padding=__a)
							_UpperCamelCase									=    model.generate(**__a							,						num_beams=2).sequences
							_UpperCamelCase									=    tokenizer.batch_decode(__a							,						skip_special_tokens=__a)
							assert tgt_text == decoded






