Enum DataFormatErrorKind 

pub enum DataFormatErrorKind {
    CsvReadError {
        dataset_name: String,
        error: String,
    },
    InvalidColumnCount {
        dataset_name: String,
        expected: usize,
        actual: usize,
        line_num: usize,
        line: String,
    },
    ParseFailed {
        dataset_name: String,
        field_name: String,
        line_num: usize,
        line: String,
        error: String,
    },
    InvalidValue {
        dataset_name: String,
        field_name: String,
        value: String,
        line_num: usize,
        line: String,
    },
    LengthMismatch {
        dataset_name: String,
        field_name: String,
        expected: usize,
        actual: usize,
    },
    EmptyDataset {
        dataset_name: String,
    },
    ArrayShapeError {
        dataset_name: String,
        array_name: String,
        error: String,
    },
}

Specific kinds of data format errors that can occur during dataset parsing.

Variants

• CsvReadError - Failed to read a CSV record.
• InvalidColumnCount - The row has an unexpected number of columns.
• ParseFailed - Failed to parse a field value into the target type.
• InvalidValue - The field value is syntactically valid but semantically incorrect.
• LengthMismatch - The total parsed data length doesn’t match expected dimensions.
• EmptyDataset - The dataset is empty.
• ArrayShapeError - Failed to construct ndarray with the given shape and data.

Variants

CsvReadError

Failed to read a CSV record

Fields

dataset_name: String

Dataset identifier

error: String

The underlying CSV error message

InvalidColumnCount

The row has an unexpected number of columns

Fields

dataset_name: String

Dataset identifier

expected: usize

Expected number of columns

actual: usize

Actual number of columns found

line_num: usize

Line number (1-based)

line: String

The original input line

ParseFailed

Failed to parse a field value into the target type

Fields

dataset_name: String

Dataset identifier

field_name: String

Field name that failed to parse

line_num: usize

Line number (1-based)

line: String

The original input line

error: String

The underlying parse error message

InvalidValue

The field value is syntactically valid but semantically incorrect

Fields

dataset_name: String

Dataset identifier

field_name: String

Field name with invalid value

value: String

The invalid value

line_num: usize

Line number (1-based)

line: String

The original input line

LengthMismatch

The total parsed data length doesn’t match expected dimensions

Fields

dataset_name: String

Dataset identifier

field_name: String

Field name whose length is being validated

expected: usize

Expected length

actual: usize

Actual length

EmptyDataset

The dataset is empty

Fields

dataset_name: String

Dataset identifier

ArrayShapeError

Failed to construct ndarray with the given shape and data

Fields

dataset_name: String

Dataset identifier

array_name: String

Array name that failed to build

error: String

The underlying shape error message

Trait Implementations

impl Debug for DataFormatErrorKind

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

Formats the value using the given formatter.

impl Display for DataFormatErrorKind

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

Formats the value using the given formatter.

impl Error for DataFormatErrorKind

fn source(&self) -> Option<&(dyn Error + 'static)>

Returns the lower-level source of this error, if any.

fn description(&self) -> &str

👎Deprecated since 1.42.0:

use the Display impl or to_string()

fn cause(&self) -> Option<&dyn Error>

👎Deprecated since 1.33.0:

replaced by Error::source, which can support downcasting

fn provide<'a>(&'a self, request: &mut Request<'a>)

🔬This is a nightly-only experimental API. (error_generic_member_access)

Provides type-based access to context intended for error reports.

impl From<DataFormatErrorKind> for DatasetError

fn from(source: DataFormatErrorKind) -> Self

Converts to this type from the input type.