






# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


snake_case    				=		logging.get_logger(__name__)

snake_case    				=		{}
snake_case    				=		{}
snake_case    				=		{}


def   lowerCamelCase__			(     lowercase						,     lowercase						,     lowercase = None						,     ):

       """simple docstring"""






       SCREAMING_SNAKE_CASE       :      Optional[int]							=    aliases if aliases is not None else []
       if format_type in _FORMAT_TYPES:
              logger.warning(
                  F'''Overwriting format type \'{format_type}\' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})'''				)
       SCREAMING_SNAKE_CASE       :      str							=    formatter_cls
       for alias in set(aliases + [format_type]				):
              if alias in _FORMAT_TYPES_ALIASES:
                     logger.warning(
                         F'''Overwriting format type alias \'{alias}\' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})'''				)
              SCREAMING_SNAKE_CASE       :      List[Any]							=    format_type


def   lowerCamelCase__			(     lowercase						,     lowercase						,     lowercase = None				):

       """simple docstring"""






       SCREAMING_SNAKE_CASE       :      Tuple							=    aliases if aliases is not None else []
       for alias in set(aliases + [format_type]				):
              SCREAMING_SNAKE_CASE       :      str							=    unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=["""python"""])
_register_formatter(ArrowFormatter, """arrow""", aliases=["""pa""", """pyarrow"""])
_register_formatter(NumpyFormatter, """numpy""", aliases=["""np"""])
_register_formatter(PandasFormatter, """pandas""", aliases=["""pd"""])
_register_formatter(CustomFormatter, """custom""")

if config.TORCH_AVAILABLE:
   from .torch_formatter import TorchFormatter

   _register_formatter(TorchFormatter, """torch""", aliases=["""pt""", """pytorch"""])
else:
   snake_case    				=		ValueError("""PyTorch needs to be installed to be able to return PyTorch tensors.""")
   _register_unavailable_formatter(_torch_error, """torch""", aliases=["""pt""", """pytorch"""])

if config.TF_AVAILABLE:
   from .tf_formatter import TFFormatter

   _register_formatter(TFFormatter, """tensorflow""", aliases=["""tf"""])
else:
   snake_case    				=		ValueError("""Tensorflow needs to be installed to be able to return Tensorflow tensors.""")
   _register_unavailable_formatter(_tf_error, """tensorflow""", aliases=["""tf"""])

if config.JAX_AVAILABLE:
   from .jax_formatter import JaxFormatter

   _register_formatter(JaxFormatter, """jax""", aliases=[])
else:
   snake_case    				=		ValueError("""JAX needs to be installed to be able to return JAX arrays.""")
   _register_unavailable_formatter(_jax_error, """jax""", aliases=[])


def   lowerCamelCase__			(     lowercase				):

       """simple docstring"""






       if format_type in _FORMAT_TYPES_ALIASES:
              return _FORMAT_TYPES_ALIASES[format_type]
       else:
              return format_type


def   lowerCamelCase__			(     lowercase						,     **lowercase				):

       """simple docstring"""






       SCREAMING_SNAKE_CASE       :      List[Any]							=    get_format_type_from_alias(lowercase				)
       if format_type in _FORMAT_TYPES:
              return _FORMAT_TYPES[format_type](**lowercase				)
       if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
              raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
       else:
              raise ValueError(
                  F'''Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None				)}, but got \'{format_type}\''''				)














from typing import TYPE_CHECKING

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


snake_case    				=		{
    """configuration_trajectory_transformer""": [
        """TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """TrajectoryTransformerConfig""",
    ],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   snake_case    				=		[
       """TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """TrajectoryTransformerModel""",
       """TrajectoryTransformerPreTrainedModel""",
       """load_tf_weights_in_trajectory_transformer""",
   ]


if TYPE_CHECKING:
   from .configuration_trajectory_transformer import (
       TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       TrajectoryTransformerConfig,
   )

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_trajectory_transformer import (
          TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          TrajectoryTransformerModel,
          TrajectoryTransformerPreTrainedModel,
          load_tf_weights_in_trajectory_transformer,
      )


else:
   import sys

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






