SIO reading/writing objects (sarpy.io.complex.sio)¶
Functionality for reading SIO data into a SICD model.
- class sarpy.io.complex.sio.SIOReader(sio_details)¶
Bases:
SICDTypeReader
Changed in version 1.3.0 for reading changes.
- property sio_details: SIODetails¶
The sio details object.
- Type:
SIODetails
- property file_name: str¶
Defined as a convenience property.
- Type:
None|str
- close() None ¶
This should perform any necessary clean-up operations, like closing open file handles, deleting any temp files, etc.
- property closed: bool¶
Is the reader closed? Reading will result in a ValueError
- Type:
bool
- property data_segment: DataSegment | Tuple[DataSegment, ...]¶
The data segment collection.
- Type:
DataSegment|Tuple[DataSegment, …]
- property data_size: Tuple[int, ...] | Tuple[Tuple[int, ...]]¶
the output/formatted data size(s) of the data segment(s). If there is a single data segment, then this will be Tuple[int, …], otherwise it will be Tuple[Tuple, int, …], …].
- Type:
Tuple[int, …]|Tuple[Tuple[int, …], …]
- property files_to_delete_on_close: List[str]¶
A collection of files to delete on the close operation.
- Type:
List[str]
- get_data_segment_as_tuple() Tuple[DataSegment, ...] ¶
Get the data segment collection as a tuple, to avoid the need for redundant checking issues.
- Return type:
Tuple[DataSegment, …]
- get_data_size_as_tuple() Tuple[Tuple[int, ...], ...] ¶
Get the data size collection as a tuple of tuples, to avoid the need for redundant checking issues.
- Return type:
Tuple[Tuple[int, …], …]
- get_raw_data_size_as_tuple() Tuple[Tuple[int, ...], ...] ¶
Get the raw data size collection as a tuple of tuples, to avoid the need for redundant checking issues.
- Return type:
Tuple[Tuple[int, …], …]
- get_sicd_bands() Tuple[str, ...] ¶
Gets the list of bands for each sicd.
- Return type:
Tuple[str, …]
- get_sicd_partitions(match_function: ~typing.Callable = <function is_general_match>) Tuple[Tuple[int, ...], ...] ¶
Partition the sicd collection into sub-collections according to match_function, which is assumed to establish an equivalence relation.
- Parameters:
match_function (callable) – This match function must have call signature (SICDType, SICDType) -> bool, and defaults to
sarpy.io.complex.sicd_elements.utils.is_general_match()
. This function is assumed reflexive, symmetric, and transitive.- Return type:
Tuple[Tuple[int, …], …]
- get_sicd_polarizations() Tuple[str, ...] ¶
Gets the list of polarizations for each sicd.
- Return type:
Tuple[str]
- get_sicds_as_tuple() None | Tuple[SICDType, ...] ¶
Get the sicd or sicd collection as a tuple - for simplicity and consistency of use.
- Return type:
None|Tuple[SICDType, …]
- property image_count: int¶
The number of images/data segments from which to read.
- Type:
int
- property raw_data_size: Tuple[int, ...] | Tuple[Tuple[int, ...]]¶
the raw data size(s) of the data segment(s). If there is a single data segment, then this will be Tuple[int, …], otherwise it will be Tuple[Tuple, int, …], …].
- Type:
Tuple[int, …]|Tuple[Tuple[int, …], …]
- read(*ranges: None | int | Tuple[int, ...] | slice, index: int = 0, squeeze: bool = True) ndarray ¶
Read formatted data from the given data segment. Note this is an alias to the
__call__()
called asreader(*ranges, index=index, raw=False, squeeze=squeeze)
.- Parameters:
ranges (Sequence[Union[None, int, Tuple[int, ...], slice]]) – The slice definition appropriate for data_segment[index].read() usage.
index (int) – The data_segment index. This is ignored if image_count== 1.
squeeze (bool) – Squeeze length 1 dimensions out of the shape of the return array?
- Return type:
numpy.ndarray
See also
See
meth:sarpy.io.general.data_segment.DataSegment.read.
- read_chip(*ranges: Sequence[None | int | Tuple[int, ...] | slice], index: int = 0, squeeze: bool = True) ndarray ¶
This is identical to
read()
, and presented for backwards compatibility.- Parameters:
ranges (Sequence[Union[None, int, Tuple[int, ...], slice]]) –
index (int) –
squeeze (bool) –
- Return type:
numpy.ndarray
See also
- read_raw(*ranges: None | int | Tuple[int, ...] | slice, index: int = 0, squeeze: bool = True) ndarray ¶
Read raw data from the given data segment. Note this is an alias to the
__call__()
called asreader(*ranges, index=index, raw=True, squeeze=squeeze)
.- Parameters:
ranges (Sequence[Union[None, int, Tuple[int, ...], slice]]) – The slice definition appropriate for data_segment[index].read() usage.
index (int) – The data_segment index. This is ignored if image_count== 1.
squeeze (bool) – Squeeze length 1 dimensions out of the shape of the return array?
- Return type:
numpy.ndarray
See also
See
meth:sarpy.io.general.data_segment.DataSegment.read_raw.
- property reader_type: str¶
A descriptive string for the type of reader
- Type:
str
- sarpy.io.complex.sio.is_a(file_name: str) SIOReader | None ¶
Tests whether a given file_name corresponds to a SIO file. Returns a reader instance, if so.
- Parameters:
file_name (str) – the file_name to check
- Returns:
SIOReader instance if SIO file, None otherwise
- Return type:
SIOReader|None
- class sarpy.io.complex.sio.SIOWriter(file_object: str | BinaryIO, sicd_meta: SICDType, user_data: Dict[str, str] | None = None, check_older_version: bool = False, check_existence: bool = True)¶
Bases:
BaseWriter
Changed in version 1.3.0 for writing changes.
- property closed: bool¶
Is the writer closed? Reading file after writing can result in a ValueError if writer was not closed.
- Type:
bool
- property data_segment: Tuple[DataSegment, ...]¶
The data segment collection.
- Type:
Tuple[DataSegment, …]
- property data_size: Tuple[Tuple[int, ...]]¶
the formatted data sizes of the data segments.
- Type:
Tuple[Tuple[int, …], …]
- property image_count: int¶
The number of overall images/data segments.
- Type:
int
- property raw_data_size: Tuple[int, ...] | Tuple[Tuple[int, ...]]¶
the raw data sizes of the data segments.
- Type:
Tuple[Tuple[int, …], …]
- write(data: ndarray, start_indices: int | Tuple[int, ...] | None = None, subscript: Tuple[slice, ...] | None = None, index: int = 0) None ¶
Write the data to the appropriate data segment. This is an alias to
writer(data, start_indices=start_indices, subscript=subscript, index=index, raw=False)
.Only one of `start_indices` and `subscript` should be specified.
- Parameters:
data (numpy.ndarray) – The data to write.
start_indices (None|int|Tuple[int, ...]) – Assuming a contiguous chunk of data, this provides the starting indices of the chunk. Any missing (tail) coordinates will be filled in with 0’s.
subscript (None|Tuple[slice, ...]) – In contrast to providing start_indices, the slicing definition in formatted coordinates pertinent to the specified data segment.
index (int) – The index of the
See also
See
meth:sarpy.io.general.data_segment.DataSegment.write.
- write_chip(data: ndarray, start_indices: int | Tuple[int, ...] | None = None, subscript: Tuple[slice, ...] | None = None, index: int = 0) None ¶
This is identical to
write()
, and presented for backwards compatibility.- Parameters:
data (numpy.ndarray) –
start_indices (None|int|Tuple[int, ...]) –
subscript (None|Tuple[slice, ...]) –
index (int) –
See also
See
meth:sarpy.io.general.data_segment.DataSegment.write.
- write_raw(data: ndarray, start_indices: int | Tuple[int, ...] | None = None, subscript: Tuple[slice, ...] | None = None, index: int = 0) None ¶
Write the raw data to the file(s). This is an alias to
writer(data, start_indices=start_indices, subscript=subscript, index=index, raw=True)
.Only one of `start_indices` and `subscript` should be specified.
- Parameters:
data (numpy.ndarray) – The data to write.
start_indices (None|int|Tuple[int, ...]) – Assuming a contiguous chunk of data, this provides the starting indices of the chunk. Any missing (tail) coordinates will be filled in with 0’s.
subscript (None|Tuple[slice, ...]) – In contrast to providing start_indices, the slicing definition in raw coordinates pertinent to the specified data segment.
index (int) –
See also
See
meth:sarpy.io.general.data_segment.DataSegment.write_raw.
- property file_name: str | None¶
The file name, if feasible.
- Type:
None|str
- flush(force: bool = False) None ¶
Try to perform any necessary steps to flush written data to the disk/buffer.
- Parameters:
force (bool) – Try force flushing, even for incompletely written data.
- Return type:
None
- close() None ¶
Completes any necessary final steps.