






import importlib.metadata
import sys

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


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

class 				A    (__UpperCAmelCase				):



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



             '''simple docstring'''

             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(UpperCAmelCase_					)
                    except ImportError as e:
                           self.assertIn(F'''{req} is required'''     ,  str(UpperCAmelCase_					)					)
                           self.assertIn('''but found'''     ,  str(UpperCAmelCase_					)					)

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

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



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



             '''simple docstring'''

             require_version('''python>=3.6.0'''					)

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













import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types

class 				A    (unittest.TestCase       ,__UpperCAmelCase				):



      def    __a (					self					)      ->   str:



             '''simple docstring'''

             _snake_case      :							List[Any]     				=						load_tool('''translation'''					)
             self.tool.setup()
             _snake_case      :							Any     				=						load_tool('''translation'''     ,  remote=lowercase_					)



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



             '''simple docstring'''

             _snake_case      :							Tuple     				=						self.tool('''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
             self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)



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



             '''simple docstring'''

             _snake_case      :							Optional[int]     				=						self.remote_tool('''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
             self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)



      def    __a (					self					)      ->   List[Any]:



             '''simple docstring'''

             _snake_case      :							Dict     				=						self.tool(text='''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
             self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)



      def    __a (					self					)      ->   Dict:



             '''simple docstring'''

             _snake_case      :							List[Any]     				=						self.remote_tool(text='''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
             self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)



      def    __a (					self					)      ->   str:



             '''simple docstring'''

             _snake_case      :							Optional[int]     				=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
             _snake_case      :							Dict     				=						self.tool(*lowercase_					)

             # There is a single output
             if len(self.tool.outputs					) == 1:
                    _snake_case      :							Optional[Any]     				=						[outputs]

             self.assertListEqual(output_types(lowercase_					)     ,  self.tool.outputs					)



      def    __a (					self					)      ->   Tuple:



             '''simple docstring'''

             _snake_case      :							Union[str, Any]     				=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
             _snake_case      :							Dict     				=						self.tool(*lowercase_					)

             if not isinstance(lowercase_     ,  lowercase_					):
                    _snake_case      :							Optional[Any]     				=						[outputs]

             self.assertEqual(len(lowercase_					)     ,  len(self.tool.outputs					)					)

             for output, output_type in zip(lowercase_     ,  self.tool.outputs					):
                    _snake_case      :							List[str]     				=						AGENT_TYPE_MAPPING[output_type]
                    self.assertTrue(isinstance(lowercase_     ,  lowercase_					)					)



      def    __a (					self					)      ->   List[Any]:



             '''simple docstring'''

             _snake_case      :							Dict     				=						['''Hey, what\'s up?''', '''English''', '''Spanish''']

             _snake_case      :							Any     				=						[]

             for _input, input_type in zip(lowercase_     ,  self.tool.inputs					):
                    if isinstance(lowercase_     ,  lowercase_					):
                           _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input					) for _input_type in input_type]					)
                    else:
                           _inputs.append(AGENT_TYPE_MAPPING[input_type](_input					)					)

        # Should not raise an error
             _snake_case      :							List[Any]     				=						self.tool(*lowercase_					)

             if not isinstance(lowercase_     ,  lowercase_					):
                    _snake_case      :							Any     				=						[outputs]

             self.assertEqual(len(lowercase_					)     ,  len(self.tool.outputs					)					)






