Enum Instruction 

pub enum Instruction {
    Rename {
        input: Vec<String>,
        output: Vec<String>,
    },
    Copy {
        input: Vec<String>,
        output: Vec<String>,
    },
    Scale {
        input: Vec<String>,
        demean: bool,
        rescale: bool,
        replace_na: Option<f64>,
    },
    Threshold {
        input: Vec<String>,
        threshold: f64,
        above: bool,
        binarize: bool,
        signed: bool,
    },
    And {
        input: Vec<String>,
        output: Option<Vec<String>>,
    },
    Or {
        input: Vec<String>,
        output: Option<Vec<String>>,
    },
    Not {
        input: Vec<String>,
        output: Option<Vec<String>>,
    },
    Product {
        input: Vec<String>,
        output: Option<String>,
    },
    Sum {
        input: Vec<String>,
        weights: Vec<f64>,
        output: Option<String>,
    },
    Power {
        input: Vec<String>,
        value: f64,
        output: Option<Vec<String>>,
    },
    Factor {
        input: Vec<String>,
    },
    Filter {
        input: Vec<String>,
        query: String,
    },
    Replace {
        input: Vec<String>,
        replace: HashMap<String, String>,
        output: Option<Vec<String>>,
    },
    Select {
        input: Vec<String>,
    },
    Delete {
        input: Vec<String>,
    },
    Group {
        input: Vec<String>,
        output: String,
    },
    Resample {
        input: Vec<String>,
        sampling_rate: f64,
    },
    ToDense {
        input: Vec<String>,
        sampling_rate: Option<f64>,
    },
    Convolve {
        input: Vec<String>,
        model: String,
    },
}

A single transformation instruction from the pybids-transforms-v1 spec.

Each variant corresponds to a named transformation that can be applied to variables in a VariableCollection. Transformations modify variable data in place (rename, scale, threshold) or create new variables (factor, copy, split).

Variants

Rename

Fields

input: Vec<String>

output: Vec<String>

Copy

Fields

input: Vec<String>

output: Vec<String>

Scale

Fields

input: Vec<String>

demean: bool

rescale: bool

replace_na: Option<f64>

Threshold

Fields

input: Vec<String>

threshold: f64

above: bool

binarize: bool

signed: bool

And

Fields

input: Vec<String>

output: Option<Vec<String>>

Or

Fields

input: Vec<String>

output: Option<Vec<String>>

Not

Fields

input: Vec<String>

output: Option<Vec<String>>

Product

Fields

input: Vec<String>

output: Option<String>

Sum

Fields

input: Vec<String>

weights: Vec<f64>

output: Option<String>

Power

Fields

input: Vec<String>

value: f64

output: Option<Vec<String>>

Factor

Fields

input: Vec<String>

Filter

Fields

input: Vec<String>

query: String

Replace

Fields

input: Vec<String>

replace: HashMap<String, String>

output: Option<Vec<String>>

Select

Fields

input: Vec<String>

Delete

Fields

input: Vec<String>

Group

Fields

input: Vec<String>

output: String

Resample

Fields

input: Vec<String>

sampling_rate: f64

ToDense

Fields

input: Vec<String>

sampling_rate: Option<f64>

Convolve

Fields

input: Vec<String>

model: String

Trait Implementations

impl Clone for Instruction

fn clone(&self) -> Instruction

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Instruction

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Instruction

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Instruction

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.