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brainhops.io.images.base

The format-independent base of every file-based image.

Classes

FileBasedImage

Bases: _FileBasedModelMixin, Image, FileBasedObject

An image that is stored in a file.

This is the dispatcher for image formats: concrete readers inherit from it and opt in with @register_format, which is what makes brainhops.io.images.load work without a hand-maintained table.

Attributes

EXTENSIONS class-attribute 
EXTENSIONS: tuple[str, ...] = ()

File extensions handled by this parser, e.g. (".nii", ".nii.gz").

Used as a first, cheap dispatch pass. When several parsers match, the longest matching extension wins, so a parser declaring ".nii.gz" takes precedence over one declaring ".gz".

PREFIXES class-attribute 
PREFIXES: tuple[str, ...] = ()

Filename prefixes required by this parser, e.g. ("y_", "iy_").

An empty tuple means "no constraint". A parser that constrains the prefix is more specific than one that does not, and wins ties.

Declaring EXTENSIONS and PREFIXES separately states the cross-product implicitly, which is how these conventions actually work: SPM's four names are {y_, iy_} x {.nii, .nii.gz}.

shape property 
shape: tuple[int, ...]

The shape of the image data.

ndim property 
ndim: int

The number of dimensions of the image data.

dtype property 
dtype: dtype

The data type of the image data.

grid property 
grid: CartesianField

The Cartesian field that defines the sampling grid of the image.

This is the grid of the image's geometry.

PRIORITY class-attribute 
PRIORITY: int = 10

Kind precedence, used only to break ties that confidence could not.

A NIfTI file is legitimately both an image and a set of affines, so when nothing else separates them the image wins. Scoring sniffers (e.g. NIfTI intent codes) normally decide well before this matters.

Methods:

sniff classmethod 
sniff(
    file: FileOrContentLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read file. On a concrete format, score how confident it is that file, in any supported form, is its own.

sniff_file classmethod 
sniff_file(
    file: FileLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the file (path or file-like object). On a concrete format, score how confident it is that the file is its own.

sniff_filename classmethod 
sniff_filename(
    filename: FilenameLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> float

Determine if the given filename is of the type that this parser can handle.

Parameters:

Name Type Description Default
filename FilenameLike

The filename to sniff.

 required
error bool | type[Exception]

If not False, raise an error if the filename cannot be sniffed.

 False
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
float

Confidence that the filename is of this type, in [0, 1].
sniff_fileobj classmethod 
sniff_fileobj(
    file: IO,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the open file object. On a concrete format, score how confident it is that the file object is its own.

sniff_content classmethod 
sniff_content(
    content: ContentLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the content (text or bytes). On a concrete format, score how confident it is that the content is its own.

sniff_bytes classmethod 
sniff_bytes(
    content: BinaryContentLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the bytes. On a concrete format, score how confident it is that the bytes are its own.

sniff_text classmethod 
sniff_text(
    text: str,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the text. On a concrete format, score how confident it is that the text is its own.

sniff_lines classmethod 
sniff_lines(
    lines: Iterable[str],
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the lines. On a concrete format, score how confident it is that the lines are its own.

sniff_line classmethod 
sniff_line(
    line: str,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the line. On a concrete format, score how confident it is that the line is its own.

load classmethod 
load(other: FileOrContentLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from other. On a concrete format, build an instance of this class from other, in any supported form.

from_spec classmethod 
from_spec(spec: SourceSpec, **kwargs) -> Self

Load a structured source specification through this dispatcher.

from_file classmethod 
from_file(file: FileLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the file (path or file-like object). On a concrete format, build an instance of this class from the file.

from_filename classmethod 
from_filename(filename: FilenameLike, **kwargs) -> Self

Build an object from a filename.

Parameters:

Name Type Description Default
filename FilenameLike

The filename to parse.

 required
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
obj

The parsed object.
from_fileobj classmethod 
from_fileobj(file: IO, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the open file object. On a concrete format, build an instance of this class from the file object.

from_content classmethod 
from_content(content: ContentLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the content (text or bytes). On a concrete format, build an instance of this class from the content.

from_bytes classmethod 
from_bytes(content: BinaryContentLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the bytes. On a concrete format, build an instance of this class from the bytes.

from_text classmethod 
from_text(text: str, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the text. On a concrete format, build an instance of this class from the text.

from_lines classmethod 
from_lines(lines: Iterable[str], **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the lines. On a concrete format, build an instance of this class from the lines.

from_line classmethod 
from_line(line: str, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the line. On a concrete format, build an instance of this class from the line.

from_dict classmethod 
from_dict(other: Mapping, *args, **kwargs) -> Self

Create an instance of the class from a dictionary-like object.

Only keys in the dictionary that match keyword-like fields of this class, or the keywords its constructor takes without storing them (its InitVars, such as the matrix= of an Affine), will be used. Other keys are ignored, but see from_other, which refuses them.

Additional positional and/or keyword arguments can be provided, and will take precedence over the values in the dictionary.

A key naming a field that this class fixes (a field that cannot be passed to its constructor) is checked instead of used: a dictionary that sets it to anything other than None or the value of this class is refused with a ValueError.

from_instance classmethod 
from_instance(other: Any, *args, **kwargs) -> Self

Create an instance from an instance of a similar class.

The data model copies the fields both classes share, by name. A field that a file format declares for its own use -- such as the nibabel image and header of the NIfTI and MGH formats -- is only copied from an object of that same format: from any other object, a field of the same name holds something else (a NIfTI image is no MGH image), so this class's default is kept instead. Saving a NIfTI image to MGH, or the converse, therefore converts the data model only, and the format-specific state is rebuilt by the writer.

from_other classmethod 
from_other(other: Any, *args, **kwargs) -> Self

Create an instance from a file, or from anything the data model reads.

A path (str or os.PathLike), an open file, bytes or a structured source (SourceSpec) is read with load: on a dispatcher such as FileBasedImage, the best-matching registered format reads it, and on a concrete format, that format does. Any other value is handed to the data model's own from_other, which reads a mapping field by field, copies an instance of a similar class, and passes anything else to the constructor.

Parameters:

Name Type Description Default
other Any

A file, its content, a mapping, or an instance of a similar class.

 required
*args

Constructor arguments. A file is read with keyword options only.

 ()
**kwargs

Format-specific options when reading a file, and field values otherwise.

 {}

Returns:

Type Description
obj

The object that was built.

Raises:

Type Description
TypeError

If positional arguments come with a file to read.
__array__ 
__array__(dtype: DTypeLike | None = None) -> ndarray

Return the image data as an array.

WritableFileBasedImage

Bases: FileBasedImage, WritableFileBasedObject

An image that is stored in a file and can be written to disk.

Attributes

EXTENSIONS class-attribute 
EXTENSIONS: tuple[str, ...] = ()

File extensions handled by this parser, e.g. (".nii", ".nii.gz").

Used as a first, cheap dispatch pass. When several parsers match, the longest matching extension wins, so a parser declaring ".nii.gz" takes precedence over one declaring ".gz".

PREFIXES class-attribute 
PREFIXES: tuple[str, ...] = ()

Filename prefixes required by this parser, e.g. ("y_", "iy_").

An empty tuple means "no constraint". A parser that constrains the prefix is more specific than one that does not, and wins ties.

Declaring EXTENSIONS and PREFIXES separately states the cross-product implicitly, which is how these conventions actually work: SPM's four names are {y_, iy_} x {.nii, .nii.gz}.

PRIORITY class-attribute 
PRIORITY: int = 10

Kind precedence, used only to break ties that confidence could not.

A NIfTI file is legitimately both an image and a set of affines, so when nothing else separates them the image wins. Scoring sniffers (e.g. NIfTI intent codes) normally decide well before this matters.

shape property 
shape: tuple[int, ...]

The shape of the image data.

ndim property 
ndim: int

The number of dimensions of the image data.

dtype property 
dtype: dtype

The data type of the image data.

grid property 
grid: CartesianField

The Cartesian field that defines the sampling grid of the image.

This is the grid of the image's geometry.

Methods:

sniff classmethod 
sniff(
    file: FileOrContentLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read file. On a concrete format, score how confident it is that file, in any supported form, is its own.

sniff_file classmethod 
sniff_file(
    file: FileLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the file (path or file-like object). On a concrete format, score how confident it is that the file is its own.

sniff_filename classmethod 
sniff_filename(
    filename: FilenameLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> float

Determine if the given filename is of the type that this parser can handle.

Parameters:

Name Type Description Default
filename FilenameLike

The filename to sniff.

 required
error bool | type[Exception]

If not False, raise an error if the filename cannot be sniffed.

 False
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
float

Confidence that the filename is of this type, in [0, 1].
sniff_fileobj classmethod 
sniff_fileobj(
    file: IO,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the open file object. On a concrete format, score how confident it is that the file object is its own.

sniff_content classmethod 
sniff_content(
    content: ContentLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the content (text or bytes). On a concrete format, score how confident it is that the content is its own.

sniff_bytes classmethod 
sniff_bytes(
    content: BinaryContentLike,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the bytes. On a concrete format, score how confident it is that the bytes are its own.

sniff_text classmethod 
sniff_text(
    text: str,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the text. On a concrete format, score how confident it is that the text is its own.

sniff_lines classmethod 
sniff_lines(
    lines: Iterable[str],
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the lines. On a concrete format, score how confident it is that the lines are its own.

sniff_line classmethod 
sniff_line(
    line: str,
    error: bool | Type[Exception] = False,
    **kwargs,
) -> type | None

On a dispatcher, identify which registered format would read the line. On a concrete format, score how confident it is that the line is its own.

load classmethod 
load(other: FileOrContentLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from other. On a concrete format, build an instance of this class from other, in any supported form.

from_spec classmethod 
from_spec(spec: SourceSpec, **kwargs) -> Self

Load a structured source specification through this dispatcher.

from_file classmethod 
from_file(file: FileLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the file (path or file-like object). On a concrete format, build an instance of this class from the file.

from_filename classmethod 
from_filename(filename: FilenameLike, **kwargs) -> Self

Build an object from a filename.

Parameters:

Name Type Description Default
filename FilenameLike

The filename to parse.

 required
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
obj

The parsed object.
from_fileobj classmethod 
from_fileobj(file: IO, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the open file object. On a concrete format, build an instance of this class from the file object.

from_content classmethod 
from_content(content: ContentLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the content (text or bytes). On a concrete format, build an instance of this class from the content.

from_bytes classmethod 
from_bytes(content: BinaryContentLike, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the bytes. On a concrete format, build an instance of this class from the bytes.

from_text classmethod 
from_text(text: str, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the text. On a concrete format, build an instance of this class from the text.

from_lines classmethod 
from_lines(lines: Iterable[str], **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the lines. On a concrete format, build an instance of this class from the lines.

from_line classmethod 
from_line(line: str, **kwargs) -> Self

On a dispatcher, pick the best-matching registered format and build an instance of it from the line. On a concrete format, build an instance of this class from the line.

save 
save(file: FileLike, **kwargs) -> None

Write the object to a file (path or file-like object).

This is the generic front door to the to_* family. It is named save rather than to because to already means something else on the data models these parsers are mixed into: Transformation.to converts an object to another type. A writer's to was shadowed by it on every writable transformation.

Parameters:

Name Type Description Default
file FileLike

The file to write to.

 required
**kwargs

Parser-specific options.

 {}
to_file 
to_file(file: FileLike, **kwargs) -> None

Write the object to a file (path or file-like object).

Parameters:

Name Type Description Default
file FileLike

The file to write to.

 required
**kwargs

Parser-specific options.

 {}
to_filename 
to_filename(filename: FilenameLike, **kwargs) -> None

Write the object to a filename.

Parameters:

Name Type Description Default
filename FilenameLike

The filename to write to.

 required
**kwargs

Parser-specific options.

 {}
to_fileobj 
to_fileobj(file: IO, **kwargs) -> None

Write the object to a file-like object open for writing.

Parameters:

Name Type Description Default
file IO

A file object open for writing.

 required
**kwargs

Parser-specific options.

 {}
to_bytes 
to_bytes(**kwargs) -> bytes

Return a binary version of the file.

Parameters:

Name Type Description Default
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
bytes

A binary version of the file.
to_text 
to_text(**kwargs) -> str

Return a text version of the file.

Parameters:

Name Type Description Default
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
str

A text version of the file.
to_lines 
to_lines(**kwargs) -> Iterator[str]

Return a text version of the file as an iterable of lines.

Parameters:

Name Type Description Default
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
Iterator[str]

An iterable of lines representing the object.
to_line 
to_line(**kwargs) -> str

Return a line representing the object.

Parameters:

Name Type Description Default
**kwargs

Parser-specific options.

 {}

Returns:

Type Description
str

A line representing the object.
from_dict classmethod 
from_dict(other: Mapping, *args, **kwargs) -> Self

Create an instance of the class from a dictionary-like object.

Only keys in the dictionary that match keyword-like fields of this class, or the keywords its constructor takes without storing them (its InitVars, such as the matrix= of an Affine), will be used. Other keys are ignored, but see from_other, which refuses them.

Additional positional and/or keyword arguments can be provided, and will take precedence over the values in the dictionary.

A key naming a field that this class fixes (a field that cannot be passed to its constructor) is checked instead of used: a dictionary that sets it to anything other than None or the value of this class is refused with a ValueError.

from_instance classmethod 
from_instance(other: Any, *args, **kwargs) -> Self

Create an instance from an instance of a similar class.

The data model copies the fields both classes share, by name. A field that a file format declares for its own use -- such as the nibabel image and header of the NIfTI and MGH formats -- is only copied from an object of that same format: from any other object, a field of the same name holds something else (a NIfTI image is no MGH image), so this class's default is kept instead. Saving a NIfTI image to MGH, or the converse, therefore converts the data model only, and the format-specific state is rebuilt by the writer.

from_other classmethod 
from_other(other: Any, *args, **kwargs) -> Self

Create an instance from a file, or from anything the data model reads.

A path (str or os.PathLike), an open file, bytes or a structured source (SourceSpec) is read with load: on a dispatcher such as FileBasedImage, the best-matching registered format reads it, and on a concrete format, that format does. Any other value is handed to the data model's own from_other, which reads a mapping field by field, copies an instance of a similar class, and passes anything else to the constructor.

Parameters:

Name Type Description Default
other Any

A file, its content, a mapping, or an instance of a similar class.

 required
*args

Constructor arguments. A file is read with keyword options only.

 ()
**kwargs

Format-specific options when reading a file, and field values otherwise.

 {}

Returns:

Type Description
obj

The object that was built.

Raises:

Type Description
TypeError

If positional arguments come with a file to read.
__array__ 
__array__(dtype: DTypeLike | None = None) -> ndarray

Return the image data as an array.

Functions:

load 

load(
    filelike: FileOrContentLike | ImageSpec,
    brute: bool = False,
    **kwargs,
) -> FileBasedImage

Read an image from a file, whatever its format.

Parameters:

Name Type Description Default
filelike FileOrContentLike | ImageSpec

Input file, its content, or a structured image source.

 required
brute bool

If no format recognizes the input, try every registered reader.

 False
**kwargs

Format-specific options.

 {}

Returns:

Name Type Description
image FileBasedImage

The image that was read.

sniff 

sniff(filelike: FileOrContentLike, **kwargs) -> type | None

Identify which image format would read this file.

The file is only inspected, never parsed, so this is a prediction of what load would reach for rather than a guarantee.

Parameters:

Name Type Description Default
filelike FileOrContentLike

Input file, or its content.

 required
**kwargs

Format-specific options.

 {}

Returns:

Name Type Description
format type | None

The best match among registered image formats, or None if no single one stands out.