1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
/*
* Licensed to Elasticsearch B.V. under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch B.V. licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*  http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied.  See the License for the
* specific language governing permissions and limitations
* under the License.
*/
//! # Point Cloud
//! Abstracts data access over several files and glues metadata files to vector data files

#![allow(dead_code)]
//#![deny(warnings)]
#![warn(missing_docs)]
#![allow(clippy::cast_ptr_alignment)]
#![feature(result_flattening)]
#![feature(is_sorted)]
#![feature(iterator_fold_self)]
#![feature(generic_associated_types)]

#[cfg(test)]
#[macro_use]
extern crate assert_approx_eq;

pub mod pc_errors;

mod base_traits;
#[doc(inline)]
pub use base_traits::*;
pub mod metrics;

pub mod points;

pub mod data_sources;

pub mod glued_data_cloud;

pub mod label_sources;
pub mod summaries;

pub mod loaders;

use data_sources::DataRam;
use label_sources::SmallIntLabels;

pub use metrics::L2;

/// A sensible default for an labeled cloud
pub type DefaultLabeledCloud<M = L2> = SimpleLabeledCloud<DataRam<M>, SmallIntLabels>;
/// A sensible default for an unlabeled cloud
pub type DefaultCloud<M = L2> = DataRam<M>;

impl<M: Metric<[f32]>> DefaultLabeledCloud<M> {
    /// Simple way of gluing together the most common data source
    pub fn new_simple(data: Vec<f32>, dim: usize, labels: Vec<i64>) -> DefaultLabeledCloud<M> {
        SimpleLabeledCloud::new(
            DataRam::new(data, dim).unwrap(),
            SmallIntLabels::new(labels, None),
        )
    }
}