"""simple docstring"""





import importlib.metadata
import sys

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


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

class     __a   (      snake_case__    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					int						):
								# 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    _lowerCAmelCase			(							self     :					List[str]						):
								# 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_						)						)





"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


_SCREAMING_SNAKE_CASE       :  Union[str, Any]        = {
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_SCREAMING_SNAKE_CASE       :  Any        = ["""XLMProphetNetTokenizer"""]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_SCREAMING_SNAKE_CASE       :  Optional[Any]        = [
				    """XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """XLMProphetNetDecoder""",
				    """XLMProphetNetEncoder""",
				    """XLMProphetNetForCausalLM""",
				    """XLMProphetNetForConditionalGeneration""",
				    """XLMProphetNetModel""",
				    """XLMProphetNetPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_xlm_prophetnet import (
								    XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
								    XLMProphetNetDecoder,
								    XLMProphetNetEncoder,
								    XLMProphetNetForCausalLM,
								    XLMProphetNetForConditionalGeneration,
								    XLMProphetNetModel,
								    XLMProphetNetPreTrainedModel,
								)

else:
				import sys

				_SCREAMING_SNAKE_CASE       :  Dict        = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


