
"""simple docstring"""


import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
							lowerCAmelCase								=						[]

							lowerCAmelCase								=						os.path.join("""tests""", """models""", """**""", """test_modeling_*.py""")
							lowerCAmelCase								=						glob.glob(pattern)
							# TODO: deal with TF/Flax too
							lowerCAmelCase								=						[
							    x for x in test_files if not (x.startswith("""test_modeling_tf_""") or x.startswith("""test_modeling_flax_"""))
							]

							for test_file in test_files:
														lowerCAmelCase								=						get_tester_classes(test_file)
														for tester_class in tester_classes:
																					# A few tester classes don't have `parent` parameter in `__init__`.
																					# TODO: deal this better
																					try:
																												lowerCAmelCase								=						tester_class(parent=None)
																					except Exception:
																												continue
																					if hasattr(tester, """get_config"""):
																												lowerCAmelCase								=						tester.get_config()
																												for k, v in config.to_dict().items():
																																			if isinstance(v, int):
																																										lowerCAmelCase								=						None
																																										if k in ["vocab_size"]:
																																																	lowerCAmelCase								=						1_00
																																										elif k in ["max_position_embeddings"]:
																																																	lowerCAmelCase								=						1_28
																																										elif k in ["hidden_size", "d_model"]:
																																																	lowerCAmelCase								=						40
																																										elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																																																	lowerCAmelCase								=						5
																																										if target is not None and v > target:
																																																	failures.append(
																																																	    f"""{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"""
																																																	    f""" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"""
																																																	    f""" than {target}."""
																																																	)

							if len(failures) > 0:
														raise Exception(f"""There were {len(failures)} failures:\n""" + """\n""".join(failures))

"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase								=						{
    """configuration_decision_transformer""": [
        """DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """DecisionTransformerConfig""",
    ],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    """DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """DecisionTransformerGPT2Model""",
							    """DecisionTransformerGPT2PreTrainedModel""",
							    """DecisionTransformerModel""",
							    """DecisionTransformerPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_decision_transformer import (
							    DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    DecisionTransformerConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_decision_transformer import (
														    DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DecisionTransformerGPTaModel,
														    DecisionTransformerGPTaPreTrainedModel,
														    DecisionTransformerModel,
														    DecisionTransformerPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase								=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)