spectre.IO.H5¶

class spectre.IO.H5._Pybindings.ElementVolumeData¶

property basis¶

property element_name¶

property extents¶

property quadrature¶

property tensor_components¶

class spectre.IO.H5._Pybindings.H5Cce¶

append(self: spectre.IO.H5._Pybindings.H5Cce, data: collections.abc.Mapping[str, collections.abc.Sequence[SupportsFloat | SupportsIndex]]) → None¶

get_data(*args, **kwargs)¶

Overloaded function.

get_data(self: spectre.IO.H5._Pybindings.H5Cce) -> dict[str, spectre.DataStructures._Pybindings.Matrix]
get_data(self: spectre.IO.H5._Pybindings.H5Cce, bondi_variable_name: str) -> spectre.DataStructures._Pybindings.Matrix

get_data_subset(*args, **kwargs)¶

Overloaded function.

get_data_subset(self: spectre.IO.H5._Pybindings.H5Cce, ell: collections.abc.Sequence[typing.SupportsInt | typing.SupportsIndex], first_row: typing.SupportsInt | typing.SupportsIndex = 0, num_rows: typing.SupportsInt | typing.SupportsIndex = 1) -> dict[str, spectre.DataStructures._Pybindings.Matrix]
get_data_subset(self: spectre.IO.H5._Pybindings.H5Cce, bondi_variable_name: str, ell: collections.abc.Sequence[typing.SupportsInt | typing.SupportsIndex], first_row: typing.SupportsInt | typing.SupportsIndex = 0, num_rows: typing.SupportsInt | typing.SupportsIndex = 1) -> spectre.DataStructures._Pybindings.Matrix

get_dimensions(self: spectre.IO.H5._Pybindings.H5Cce, arg0: str) → Annotated[list[int], 'FixedSize(2)']¶

get_header(self: spectre.IO.H5._Pybindings.H5Cce) → str¶

get_legend(self: spectre.IO.H5._Pybindings.H5Cce) → list[str]¶

get_version(self: spectre.IO.H5._Pybindings.H5Cce) → int¶

class spectre.IO.H5._Pybindings.H5Dat¶

append(*args, **kwargs)¶

Overloaded function.

append(self: spectre.IO.H5._Pybindings.H5Dat, data: collections.abc.Sequence[typing.SupportsFloat | typing.SupportsIndex]) -> None
append(self: spectre.IO.H5._Pybindings.H5Dat, data: spectre.DataStructures._Pybindings.Matrix) -> None
append(self: spectre.IO.H5._Pybindings.H5Dat, data: collections.abc.Sequence[collections.abc.Sequence[typing.SupportsFloat | typing.SupportsIndex]]) -> None

get_data(self: spectre.IO.H5._Pybindings.H5Dat) → spectre.DataStructures._Pybindings.Matrix¶

get_data_subset(self: spectre.IO.H5._Pybindings.H5Dat, columns: collections.abc.Sequence[SupportsInt | SupportsIndex], first_row: SupportsInt | SupportsIndex = 0, num_rows: SupportsInt | SupportsIndex = 1) → spectre.DataStructures._Pybindings.Matrix¶

get_dimensions(self: spectre.IO.H5._Pybindings.H5Dat) → Annotated[list[int], 'FixedSize(2)']¶

get_header(self: spectre.IO.H5._Pybindings.H5Dat) → str¶

get_legend(self: spectre.IO.H5._Pybindings.H5Dat) → list[str]¶

get_version(self: spectre.IO.H5._Pybindings.H5Dat) → int¶

spectre.IO.H5._Pybindings.H5File(file_name: os.PathLike | str | bytes, mode: str = 'r') → object¶

Open an H5File object

file_name: the name of the H5File to open mode: mode to open the file. Available modes are ‘r’, ‘r+’, ‘w-’, ‘x’, and ‘a’. For details see https://docs.h5py.org/en/stable/high/file.html

class spectre.IO.H5._Pybindings.H5Vol¶

extend_connectivity_data_1d(self: spectre.IO.H5._Pybindings.H5Vol, observation_ids: collections.abc.Sequence[SupportsInt | SupportsIndex]) → None¶

extend_connectivity_data_2d(self: spectre.IO.H5._Pybindings.H5Vol, observation_ids: collections.abc.Sequence[SupportsInt | SupportsIndex]) → None¶

extend_connectivity_data_3d(self: spectre.IO.H5._Pybindings.H5Vol, observation_ids: collections.abc.Sequence[SupportsInt | SupportsIndex]) → None¶

static extension() → str¶

find_observation_id(self: spectre.IO.H5._Pybindings.H5Vol, observation_value: SupportsFloat | SupportsIndex, observation_value_epsilon: SupportsFloat | SupportsIndex | None = None) → int¶

get_bases(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → list[list[spectre.Spectral._Pybindings.Basis]]¶

get_data_by_element(self: spectre.IO.H5._Pybindings.H5Vol, start_observation_value: SupportsFloat | SupportsIndex | None, end_observation_value: SupportsFloat | SupportsIndex | None, components_to_retrieve: collections.abc.Sequence[str] | None = None) → list[tuple[int, float, list[ElementVolumeData]]]¶

get_dimension(self: spectre.IO.H5._Pybindings.H5Vol) → int¶

get_domain(self: spectre.IO.H5._Pybindings.H5Vol) → list[str] | None¶

get_extents(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → list[list[int]]¶

get_functions_of_time(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → list[str] | None¶

get_global_functions_of_time(self: spectre.IO.H5._Pybindings.H5Vol) → list[str] | None¶

get_grid_names(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → list[str]¶

get_header(self: spectre.IO.H5._Pybindings.H5Vol) → str¶

get_observation_value(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → float¶

get_quadratures(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → list[list[spectre.Spectral._Pybindings.Quadrature]]¶

get_tensor_component(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex, tensor_component: str) → TensorComponent¶

get_version(self: spectre.IO.H5._Pybindings.H5Vol) → int¶

list_observation_ids(self: spectre.IO.H5._Pybindings.H5Vol) → list[int]¶

list_tensor_components(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex) → list[str]¶

write_tensor_component(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex, component_name: str, contiguous_tensor_data: spectre.DataStructures._Pybindings.DataVector, overwrite_existing: bool = False) → None¶

write_volume_data(self: spectre.IO.H5._Pybindings.H5Vol, observation_id: SupportsInt | SupportsIndex, observation_value: SupportsFloat | SupportsIndex, elements: collections.abc.Sequence[ElementVolumeData], serialized_domain: collections.abc.Sequence[str] | None = None, serialized_observation_functions_of_time: collections.abc.Sequence[str] | None = None, serialized_global_functions_of_time: collections.abc.Sequence[str] | None = None) → None¶

class spectre.IO.H5._Pybindings.TensorComponent¶

property data¶

property name¶

spectre.IO.H5._Pybindings.combine_h5_vol(file_names: collections.abc.Sequence[str], subfile_name: str, output: str, start-time: typing.SupportsFloat | typing.SupportsIndex | None, stop-time: typing.SupportsFloat | typing.SupportsIndex | None, blocks_to_combine: collections.abc.Sequence[str] | None, check_src: bool) → None¶

spectre.IO.H5._Pybindings.offset_and_length_for_grid(grid_name: str, all_grid_names: collections.abc.Sequence[str], all_extents: collections.abc.Sequence[collections.abc.Sequence[SupportsInt | SupportsIndex]]) → tuple[int, int]¶

Modules

`CombineH5`
`CombineH5Dat`
`DeleteSubfiles`
`ExtendConnectivityData`
`ExtractDatFromH5`
`ExtractInputSourceYamlFromH5`
`FunctionsOfTimeFromVolume`
`InterpolateToMesh`
`IterElements`
`OpenVolfiles`
`ReadH5`
`TransformVolumeData`