Crate antecedent_data 

Library-owned causal data views and storage.

Arrow adapters are optional (arrow feature) and never leak Arrow types into the public causal API (ADR 0004).

Building tabular data

use antecedent_data::{TableView, TabularData};

let data = TabularData::from_f64_columns([
    ("x", &[1.0_f64, 2.0, 3.0][..]),
]).unwrap();
assert_eq!(data.row_count(), 3);

SPDX-License-Identifier: MIT OR Apache-2.0

Re-exports

pub use aligned_buffer::AlignedBuffer;

pub use arrow_adapter::ArrowLoadResult;

pub use arrow_adapter::tabular_from_arrow_c_columns;

pub use arrow_adapter::tabular_from_record_batch;

pub use arrow_ffi::ArrowCColumn;

pub use buffer::F64Buffer;

pub use buffer::ForeignBufferOwner;

pub use buffer::ForeignF64Buffer;

pub use categorical::CategoricalColumn;

pub use categorical::CategoricalView;

pub use categorical::CategoryCode;

pub use categorical::CategoryDomain;

pub use categorical::CategoryLevel;

pub use categorical::Contrast;

pub use categorical::ContrastMatrix;

pub use categorical::UnknownCategoryPolicy;

pub use categorical::compile_contrast_matrix;

pub use column::BooleanColumn;

pub use column::ColumnView;

pub use column::FixedVectorColumn;

pub use column::Float64Column;

pub use column::Int64Column;

pub use column::OwnedColumn;

pub use column::TimestampColumn;

pub use column::ValidityBitmap;

pub use dataset::TabularData;

pub use dataset::TimeSeriesData;

pub use error::DataError;

pub use event::EventData;

pub use lagged_frame::LaggedFrame;

pub use lagged_frame::LaggedFrameOptions;

pub use materialize::MaterializationReason;

pub use materialize::materialization_diagnostic;

pub use multi_env::MultiEnvironmentData;

pub use multi_env_plan::MultiEnvSamplePlan;

pub use multi_env_plan::PanelSamplePlan;

pub use multi_env_plan::plans_for_series_lengths;

pub use panel::PanelData;

pub use panel::PanelUnit;

pub use panel::PanelUnitView;

pub use pooled_frame::DEFAULT_MAX_TIME_ONE_HOT_LEVELS;

pub use pooled_frame::DummyOptions;

pub use pooled_frame::PooledLaggedFrame;

pub use pooled_frame::TimeDummyEncoding;

pub use pooled_frame::pool_multi_env_lagged_frame;

pub use project::IdRemap;

pub use project::dedupe_variable_ids;

pub use reference::ReferencePointPolicy;

pub use resample::PermutationScheme;

pub use resample::ResamplingPlan;

pub use resample::fill_resample_index_batch;

pub use resample::fill_resample_indexes;

pub use resample::fill_resample_indexes_grouped;

pub use resample::fill_resample_weight_batch;

pub use resample::fill_resample_weights;

pub use resample::resample_timeseries;

pub use resample::resample_timeseries_grouped;

pub use sample::DropSummary;

pub use sample::LagMap;

pub use sample::LaggedColumn;

pub use sample::LaggedPreparedSample;

pub use sample::LaggedSamplePlan;

pub use sample::LaggedSampleWorkspace;

pub use sample_policy::MaskPolicy;

pub use sample_policy::MissingPolicy;

pub use sample_policy::WeightPolicy;

pub use sample_request::MatrixRef;

pub use sample_request::PreparedColumn;

pub use sample_request::PreparedRowSelector;

pub use sample_request::PreparedSample;

pub use sample_request::RowSelectionRef;

pub use sample_request::SampleCacheKey;

pub use sample_request::SampleLayout;

pub use sample_request::SamplePartitions;

pub use sample_request::SamplePlan;

pub use sample_request::SampleRequest;

pub use sample_request::SampleWorkspace;

pub use sim::KnownLaggedParent;

pub use sim::LaggedLinearPair;

pub use split::BlockedTemporalSplit;

pub use split::ClusterSplit;

pub use split::DiscoveryEstimationSplit;

pub use split::EnvHoldoutSplit;

pub use split::GroupedSplit;

pub use split::RandomIidSplit;

pub use split::RegimeHoldoutSplit;

pub use split::RollingOriginSplit;

pub use split::RowSplit;

pub use split::TemporalFold;

pub use split::TemporalRandomPolicy;

pub use split::TimeRange;

pub use split::ensure_random_allowed_on_temporal;

pub use storage::OwnedColumnarStorage;

pub use surrogate::surrogate_permute_columns;

pub use surrogate::surrogate_phase_randomize;

pub use table::TableView;

pub use temporal::SamplingRegularity;

pub use temporal::TimeIndex;

pub use transforms::equal_width_bin;

pub use transforms::moving_average;

pub use transforms::ordinal_patterns;

pub use vector_vars::VectorVariableGroups;

pub use vector_vars::column_blocks_for_frame;

pub use vector_vars::expand_fixed_vector_columns;

Modules

aligned_buffer

Growable aligned f64 scratch buffers.

arrow_adapter

Arrow-backed adapters. Arrow types stay inside this module (ADR 0004).

arrow_ffi

Isolated Arrow C Data Interface FFI.

buffer

Contiguous f64 column buffers — owned or foreign-backed.

categorical

Dictionary categoricals and explicit contrasts (ADR 0003).

column

Columnar storage and typed column views.

dataset

Concrete tabular and time-series dataset types.

error

Data-layer errors.

event

Irregular event-indexed datasets.

lagged_frame

Pre-materialized lagged columns for temporal discovery.

materialize

Explicit materialization / copy diagnostics.

multi_env

Multi-environment / multi-dataset container.

multi_env_plan

Multi-environment / panel sample planning without per-env full series clones.

panel

Panel data: unit partitions with per-unit time indexes.

pooled_frame

Pooled multi-environment lagged frames with space/time dummies (J-PCMCI+).

project

Column projection: narrow a table to the variables needed after identification.

reference

Reference-point policies for temporal sample alignment.

resample

Temporal bootstrap / resampling index plans.

sample

Lag-aligned sample planning for temporal discovery.

sample_policy

Sample construction policies.

sample_request

General sample request → plan → prepare path.

selection

Row selection and column transform helpers shared by estimators / refuters.

sim

Structural process generators for conformance / toys .

split

Split strategies for discovery / estimation.

storage

Owned tabular storage implementing TableView.

surrogate

Surrogate null transforms for discovery false-positive checks.

table

TableView trait — public causal table API (ADR 0004).

temporal

Temporal sampling metadata (series length / regularity).

transforms

Column transforms for discovery / symbolic CI .

vector_vars

pinned baseline-style vector variable groups.

Structs

FfiArrowArray

Re-export FFI types for the Python / foreign boundary only. ABI-compatible struct for ArrowArray from C Data Interface See https://arrow.apache.org/docs/format/CDataInterface.html#structure-definitions

FfiArrowSchema

ABI-compatible struct for ArrowSchema from C Data Interface See https://arrow.apache.org/docs/format/CDataInterface.html#structure-definitions

TemporalIndexer

Finite unfolding indexer: time-major dense layout.

TemporalNodeKey

Stable unfolded temporal node identity (serializable).