
'''simple docstring'''
import unittest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    SummarizationPipeline,
    TFPreTrainedModel,
    pipeline,
)
from transformers.testing_utils import get_gpu_count, is_pipeline_test, require_tf, require_torch, slow, torch_device
from transformers.tokenization_utils import TruncationStrategy

from .test_pipelines_common import ANY


a_     =  -1 if torch_device == "cpu" else 0






@is_pipeline_test
class 				UpperCAmelCase_			(		unittest.TestCase   ):
 UpperCAmelCase_						      =  MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
 UpperCAmelCase_						      =  TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING





 def     snake_case__						(      self	,    lowercase_	,    lowercase_	,    lowercase_):
     snake_case_	:      Dict            =  SummarizationPipeline(model=lowercase_	,    tokenizer=lowercase_)
     return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]





 def     snake_case__						(      self	,    lowercase_	,    lowercase_):
     snake_case_	:      Dict            =  summarizer.model

     snake_case_	:      Any            =  summarizer("(CNN)The Palestinian Authority officially became")
     self.assertEqual(lowercase_	,    [{"summary_text": ANY(lowercase_)}])

     snake_case_	:      Any            =  summarizer(
         "(CNN)The Palestinian Authority officially became "	,    num_beams=2	,    min_length=2	,    max_length=5	,    )
     self.assertEqual(lowercase_	,    [{"summary_text": ANY(lowercase_)}])

     # Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
     snake_case_	:      Any            =  [
         "SwitchTransformersConfig",
         "T5Config",
         "LongT5Config",
         "LEDConfig",
         "PegasusXConfig",
         "FSMTConfig",
         "M2M100Config",
         "ProphetNetConfig",  # positional embeddings up to a fixed maximum size (otherwise clamping the values)
     ]
     if model.config.__class__.__name__ not in model_can_handle_longer_seq:
         # Too long and exception is expected.
         # For TF models, if the weights are initialized in GPU context, we won't get expected index error from
         # the embedding layer.
         if not (
             isinstance(lowercase_	,    lowercase_)
             and get_gpu_count() > 0
             and len(summarizer.model.trainable_weights) > 0
         ):
             with self.assertRaises(lowercase_):
                 snake_case_	:      Optional[int]            =  summarizer("This " * 10_00)
     snake_case_	:      Tuple            =  summarizer("This " * 10_00	,    truncation=TruncationStrategy.ONLY_FIRST)





 @require_torch
 def     snake_case__						(      self):
     snake_case_	:      List[Any]            =  pipeline(task="summarization"	,    model="sshleifer/tiny-mbart"	,    framework="pt")
     snake_case_	:      List[Any]            =  summarizer("This is a small test")
     self.assertEqual(
         lowercase_	,    [
             {
                 "summary_text": "เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป"
             }
         ]	,    )





 @require_tf
 def     snake_case__						(      self):
     snake_case_	:      Dict            =  pipeline(task="summarization"	,    model="sshleifer/tiny-mbart"	,    framework="tf")
     snake_case_	:      Union[str, Any]            =  summarizer("This is a small test")
     self.assertEqual(
         lowercase_	,    [
             {
                 "summary_text": "เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป"
             }
         ]	,    )





 @require_torch
 @slow
 def     snake_case__						(      self):
     snake_case_	:      List[Any]            =  pipeline(task="summarization"	,    device=lowercase_)
     snake_case_	:      str            =  (
         " (CNN)The Palestinian Authority officially became the 123rd member of the International Criminal Court on"
         " Wednesday, a step that gives the court jurisdiction over alleged crimes in Palestinian territories. The"
         " formal accession was marked with a ceremony at The Hague, in the Netherlands, where the court is based."
         " The Palestinians signed the ICC's founding Rome Statute in January, when they also accepted its"
         " jurisdiction over alleged crimes committed \"in the occupied Palestinian territory, including East"
         " Jerusalem, since June 13, 2014.\" Later that month, the ICC opened a preliminary examination into the"
         " situation in Palestinian territories, paving the way for possible war crimes investigations against"
         " Israelis. As members of the court, Palestinians may be subject to counter-charges as well. Israel and"
         " the United States, neither of which is an ICC member, opposed the Palestinians' efforts to join the"
         " body. But Palestinian Foreign Minister Riad al-Malki, speaking at Wednesday's ceremony, said it was a"
         " move toward greater justice. \"As Palestine formally becomes a State Party to the Rome Statute today, the"
         " world is also a step closer to ending a long era of impunity and injustice,\" he said, according to an"
         " ICC news release. \"Indeed, today brings us closer to our shared goals of justice and peace.\" Judge"
         " Kuniko Ozaki, a vice president of the ICC, said acceding to the treaty was just the first step for the"
         " Palestinians. \"As the Rome Statute today enters into force for the State of Palestine, Palestine"
         " acquires all the rights as well as responsibilities that come with being a State Party to the Statute."
         " These are substantive commitments, which cannot be taken lightly,\" she said. Rights group Human Rights"
         " Watch welcomed the development. \"Governments seeking to penalize Palestine for joining the ICC should"
         " immediately end their pressure, and countries that support universal acceptance of the court's treaty"
         " should speak out to welcome its membership,\" said Balkees Jarrah, international justice counsel for the"
         " group. \"What's objectionable is the attempts to undermine international justice, not Palestine's"
         " decision to join a treaty to which over 100 countries around the world are members.\" In January, when"
         " the preliminary ICC examination was opened, Israeli Prime Minister Benjamin Netanyahu described it as an"
         " outrage, saying the court was overstepping its boundaries. The United States also said it \"strongly\""
         " disagreed with the court's decision. \"As we have said repeatedly, we do not believe that Palestine is a"
         " state and therefore we do not believe that it is eligible to join the ICC,\" the State Department said in"
         " a statement. It urged the warring sides to resolve their differences through direct negotiations. \"We"
         " will continue to oppose actions against Israel at the ICC as counterproductive to the cause of peace,\""
         " it said. But the ICC begs to differ with the definition of a state for its purposes and refers to the"
         " territories as \"Palestine.\" While a preliminary examination is not a formal investigation, it allows the"
         " court to review evidence and determine whether to investigate suspects on both sides. Prosecutor Fatou"
         " Bensouda said her office would \"conduct its analysis in full independence and impartiality.\" The war"
         " between Israel and Hamas militants in Gaza last summer left more than 2,000 people dead. The inquiry"
         " will include alleged war crimes committed since June. The International Criminal Court was set up in"
         " 2002 to prosecute genocide, crimes against humanity and war crimes. CNN's Vasco Cotovio, Kareem Khadder"
         " and Faith Karimi contributed to this report."
     )
     snake_case_	:      Union[str, Any]            =  (
         " The Palestinian Authority becomes the 123rd member of the International Criminal Court . The move gives"
         " the court jurisdiction over alleged crimes in Palestinian territories . Israel and the United States"
         " opposed the Palestinians' efforts to join the court . Rights group Human Rights Watch welcomes the move,"
         " says governments seeking to penalize Palestine should end pressure ."
     )
     snake_case_	:      Tuple            =  summarizer(lowercase_)
     self.assertEqual(result[0]["summary_text"]	,    lowercase_)







'''simple docstring'''
import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


a_     =  importlib.metadata.version("numpy")
a_     =  ".".join([str(x) for x in sys.version_info[:3]])






class 				UpperCAmelCase_			(		snake_case__   ):





 def     snake_case__						(      self):
     # lt + different version strings
     require_version_core("numpy<1000.4.5")
     require_version_core("numpy<1000.4")
     require_version_core("numpy<1000")

     # le
     require_version_core("numpy<=1000.4.5")
     require_version_core(F'numpy<={numpy_ver}')

     # eq
     require_version_core(F'numpy=={numpy_ver}')

     # ne
     require_version_core("numpy!=1000.4.5")

     # ge
     require_version_core("numpy>=1.0")
     require_version_core("numpy>=1.0.0")
     require_version_core(F'numpy>={numpy_ver}')

     # gt
     require_version_core("numpy>1.0.0")

     # mix
     require_version_core("numpy>1.0.0,<1000")

     # requirement w/o version
     require_version_core("numpy")

     # unmet requirements due to version conflict
     for req in ["numpy==1.0.0", "numpy>=1000.0.0", F'numpy<{numpy_ver}']:
         try:
             require_version_core(lowercase_)
         except ImportError as e:
             self.assertIn(F'{req} is required'	,    str(lowercase_))
             self.assertIn("but found"	,    str(lowercase_))

        # unmet requirements due to missing module
     for req in ["numpipypie>1", "numpipypie2"]:
         try:
             require_version_core(lowercase_)
         except importlib.metadata.PackageNotFoundError as e:
             self.assertIn(F'The \'{req}\' distribution was not found and is required by this application'	,    str(lowercase_))
             self.assertIn("Try: pip install transformers -U"	,    str(lowercase_))

        # bogus requirements formats:
        # 1. whole thing
     for req in ["numpy??1.0.0", "numpy1.0.0"]:
         try:
             require_version_core(lowercase_)
         except ValueError as e:
             self.assertIn("requirement needs to be in the pip package format"	,    str(lowercase_))
        # 2. only operators
     for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
         try:
             require_version_core(lowercase_)
         except ValueError as e:
             self.assertIn("need one of "	,    str(lowercase_))





 def     snake_case__						(      self):
     # matching requirement
     require_version("python>=3.6.0")

     # not matching requirements
     for req in ["python>9.9.9", "python<3.0.0"]:
         try:
             require_version_core(lowercase_)
         except ImportError as e:
             self.assertIn(F'{req} is required'	,    str(lowercase_))
             self.assertIn(F'but found python=={python_ver}'	,    str(lowercase_))




