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authorUlrich Bauer <mail@ulrich-bauer.org>2019-05-22 20:32:32 +0200
committerUlrich Bauer <mail@ulrich-bauer.org>2019-05-22 20:32:32 +0200
commit94fee71969300dd2f58a92468086fbc385cc468c (patch)
tree77bb7463cc724f4e0200ee17c16d058b6df3ccec
parent232760188cc32aa0b0bb0fe79050642103801e5f (diff)
parent2623d262762fed4c8db15b034f5881fc9fa9813d (diff)
Merge branch 'master' into dev
-rw-r--r--CONTRIBUTING.txt9
-rw-r--r--COPYING.LESSER.txt165
-rw-r--r--COPYING.txt695
-rw-r--r--Makefile10
-rw-r--r--README.md37
-rw-r--r--ripser.cpp341
6 files changed, 343 insertions, 914 deletions
diff --git a/CONTRIBUTING.txt b/CONTRIBUTING.txt
new file mode 100644
index 0000000..d17de40
--- /dev/null
+++ b/CONTRIBUTING.txt
@@ -0,0 +1,9 @@
+You are under no obligation whatsoever to provide any bug fixes, patches, or
+upgrades to the features, functionality or performance of the source code
+("Enhancements") to anyone; however, if you choose to make your Enhancements
+available either publicly, or directly to the author of this software, without
+imposing a separate written license agreement for such Enhancements, then you
+hereby grant the following license: a non-exclusive, royalty-free perpetual
+license to install, use, modify, prepare derivative works, incorporate into
+other computer software, distribute, and sublicense such enhancements or
+derivative works thereof, in binary and source code form.
diff --git a/COPYING.LESSER.txt b/COPYING.LESSER.txt
deleted file mode 100644
index 65c5ca8..0000000
--- a/COPYING.LESSER.txt
+++ /dev/null
@@ -1,165 +0,0 @@
- GNU LESSER GENERAL PUBLIC LICENSE
- Version 3, 29 June 2007
-
- Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
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- This version of the GNU Lesser General Public License incorporates
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diff --git a/COPYING.txt b/COPYING.txt
index 94a9ed0..e097aef 100644
--- a/COPYING.txt
+++ b/COPYING.txt
@@ -1,674 +1,21 @@
- GNU GENERAL PUBLIC LICENSE
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-the library. If this is what you want to do, use the GNU Lesser General
-Public License instead of this License. But first, please read
-<http://www.gnu.org/philosophy/why-not-lgpl.html>.
+MIT License
+
+Copyright (c) 2015–2018 Ulrich Bauer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/Makefile b/Makefile
index 893d776..4967c0d 100644
--- a/Makefile
+++ b/Makefile
@@ -1,7 +1,7 @@
build: ripser
-all: ripser ripser-coeff ripser-reduction ripser-coeff-reduction ripser-debug
+all: ripser ripser-coeff ripser-debug
ripser: ripser.cpp
@@ -10,15 +10,9 @@ ripser: ripser.cpp
ripser-coeff: ripser.cpp
c++ -std=c++11 ripser.cpp -o ripser-coeff -Ofast -D NDEBUG -D USE_COEFFICIENTS
-ripser-reduction: ripser.cpp
- c++ -std=c++11 ripser.cpp -o ripser-reduction -Ofast -D NDEBUG -D ASSEMBLE_REDUCTION_MATRIX
-
-ripser-coeff-reduction: ripser.cpp
- c++ -std=c++11 ripser.cpp -o ripser-coeff-reduction -Ofast -D NDEBUG -D USE_COEFFICIENTS -D ASSEMBLE_REDUCTION_MATRIX
-
ripser-debug: ripser.cpp
c++ -std=c++11 ripser.cpp -o ripser-debug -g
clean:
- rm -f ripser ripser-coeff ripser-reduction ripser-coeff-reduction ripser-debug
+ rm -f ripser ripser-coeff ripser-debug
diff --git a/README.md b/README.md
index 4aae03d..c8f82cc 100644
--- a/README.md
+++ b/README.md
@@ -1,13 +1,13 @@
# Ripser
-Copyright © 2015–2016 [Ulrich Bauer].
+Copyright © 2015–2018 [Ulrich Bauer].
### Description
Ripser is a lean C++ code for the computation of Vietoris–Rips persistence barcodes. It can do just this one thing, but does it extremely well.
-To see a live demo of Ripser's capabilities, go to [live.ripser.org]. The computation happens inside the browser (using [PNaCl] on Chrome and JavaScript via [Emscripten] on other browsers).
+To see a live demo of Ripser's capabilities, go to [live.ripser.org]. The computation happens inside the browser (using [PNaCl] on Chrome and JavaScript via [Emscripten] on other browsers).
The main features of Ripser:
@@ -20,19 +20,20 @@ Currently, Ripser outperforms other codes ([Dionysus], [DIPHA], [GUDHI], [Perseu
Input formats currently supported by Ripser:
- - comma-separated values lower triangular distance matrix (preferred)
+ - comma-separated values lower triangular distance matrix
- comma-separated values upper triangular distance matrix (MATLAB output from the function `pdist`)
- comma-separated values full distance matrix
- [DIPHA] distance matrix data
- point cloud data
-Ripser's efficiency is based on a few important concepts and principles:
+Ripser's efficiency is based on a few important concepts and principles, building on key previous and concurrent developments by other researchers in computational topology:
- - Compute persistent *co*homology
+ - Compute persistent *co*homology (as suggested by [Vin de Silva, Dmitriy Morozov, and Mikael Vejdemo-Johansson](https://doi.org/10.1088/0266-5611/27/12/124003))
- Don't compute information that is never needed
- (for the experts: employ the *clearing* optimization, aka *persistence with a twist*)
- - Don't store information that can be readily recomputed
- - Take obvious shortcuts (*apparent persistence pairs*)
+ (for the experts: employ the *clearing* optimization, aka *persistence with a twist*, as suggested by [Chao Chen and Michael Kerber](http://www.geometrie.tugraz.at/kerber/kerber_papers/ck-phcwat-11.pdf))
+ - Don't store information that can be readily recomputed (in particular, the boundary matrix and the reduced boundary matrix)
+ - Take computational shortcuts (*apparent* and *emergent persistence pairs*)
+ - If no threshold is specified, choose the *enclosing radius* as the threshold, from which on homology is guaranteed to be trivial (as suggested by [Greg Henselman-Petrusek](https://github.com/Eetion/Eirene.jl))
### Version
@@ -72,14 +73,14 @@ A Makefile is provided with some variants of the above options. Use `make all` t
The input is given either in a file whose name is passed as an argument, or through stdin. The following options are supported at the command line:
- `--format`: use the specified file format for the input. The following formats are supported:
- - `lower-distance` (default if no format is specified): lower triangular distance matrix; a comma (or whitespace, or other non-numerical character) separated list of the distance matrix entries below the diagonal, sorted lexicographically by row index, then column index
- - `upper-distance`: upper triangular distance matrix; similar to the previous, but for the entries above the diagonal; suitable for output from the MATLAB functions `pdist` or `seqpdist`, exported to a CSV file
- - `distance`: full distance matrix; similar to the above, but for all entries of the distance matrix
- - `dipha`: DIPHA distance matrix as described on the [DIPHA] website
- - `point-cloud`: point cloud; a comma (or whitespace, or other non-numerical character) separated list of coordinates of the points in some Euclidean space, one point per line
- - `--dim k`: compute persistent homology up to dimension *k*
- - `--threshold t`: compute Rips complexes up to diameter *t*
- - `--modulus p`: compute homology with coefficients in the prime field Z/*p*Z (only available when built with the option `USE_COEFFICIENTS`)
+ - `lower-distance` (default if no format is specified): lower triangular distance matrix; a comma (or whitespace, or other non-numerical character) separated list of the distance matrix entries below the diagonal, sorted lexicographically by row index, then column index.
+ - `upper-distance`: upper triangular distance matrix; similar to the previous, but for the entries above the diagonal; suitable for output from the MATLAB functions `pdist` or `seqpdist`, exported to a CSV file.
+ - `distance`: full distance matrix; similar to the above, but for all entries of the distance matrix. One line per row of the matrix; only the part below the diagonal is actually read.
+ - `dipha`: DIPHA distance matrix as described on the [DIPHA] website.
+ - `point-cloud`: point cloud; a comma (or whitespace, or other non-numerical character) separated list of coordinates of the points in some Euclidean space, one point per line.
+ - `--dim k`: compute persistent homology up to dimension *k*.
+ - `--threshold t`: compute Rips complexes up to diameter *t*.
+ - `--modulus p`: compute homology with coefficients in the prime field Z/*p*Z (only available when built with the option `USE_COEFFICIENTS`).
@@ -96,7 +97,7 @@ Prototype implementations are already avaliable; please contact the author if on
### License
-Ripser is licensed under the [LGPL] 3.0. Please contact the author if you want to use Ripser in your software under a different license.
+Ripser is licensed under the [MIT] license (`COPYING.txt`), with an extra clause (`CONTRIBUTING.txt`) clarifying the license for modifications released without an explicit written license agreement. Please contact the author if you want to use Ripser in your software under a different license.
[Ulrich Bauer]: <http://ulrich-bauer.org>
[live.ripser.org]: <http://live.ripser.org>
@@ -109,4 +110,4 @@ Ripser is licensed under the [LGPL] 3.0. Please contact the author if you want t
[Perseus]: <http://www.sas.upenn.edu/~vnanda/perseus/>
[GUDHI]: <http://gudhi.gforge.inria.fr>
[sparsehash]: <https://github.com/sparsehash/sparsehash>
-[LGPL]: <https://www.gnu.org/licenses/lgpl> \ No newline at end of file
+[MIT]: <https://opensource.org/licenses/mit-license.php> \ No newline at end of file
diff --git a/ripser.cpp b/ripser.cpp
index 2eacd63..0308d46 100644
--- a/ripser.cpp
+++ b/ripser.cpp
@@ -1,24 +1,42 @@
/*
-Ripser: a lean C++ code for computation of Vietoris-Rips persistence barcodes
-
-Copyright 2015-2016 Ulrich Bauer.
-
-This program is free software: you can redistribute it and/or modify it under
-the terms of the GNU Lesser General Public License as published by the
-Free Software Foundation, either version 3 of the License, or (at your option)
-any later version.
-
-This program is distributed in the hope that it will be useful, but WITHOUT ANY
-WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
-PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
-
-You should have received a copy of the GNU Lesser General Public License along
-with this program. If not, see <http://www.gnu.org/licenses/>.
+ Ripser: a lean C++ code for computation of Vietoris-Rips persistence barcodes
+
+ MIT License
+
+ Copyright (c) 2015–2019 Ulrich Bauer
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy
+ of this software and associated documentation files (the "Software"), to deal
+ in the Software without restriction, including without limitation the rights
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all
+ copies or substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ SOFTWARE.
+
+ You are under no obligation whatsoever to provide any bug fixes, patches, or
+ upgrades to the features, functionality or performance of the source code
+ ("Enhancements") to anyone; however, if you choose to make your Enhancements
+ available either publicly, or directly to the author of this software, without
+ imposing a separate written license agreement for such Enhancements, then you
+ hereby grant the following license: a non-exclusive, royalty-free perpetual
+ license to install, use, modify, prepare derivative works, incorporate into
+ other computer software, distribute, and sublicense such enhancements or
+ derivative works thereof, in binary and source code form.
*/
-//#define ASSEMBLE_REDUCTION_MATRIX
+#define ASSEMBLE_REDUCTION_MATRIX
//#define USE_COEFFICIENTS
//#define INDICATE_PROGRESS
@@ -132,6 +150,10 @@ typedef std::pair<value_t, index_t> diameter_index_t;
value_t get_diameter(const diameter_index_t& i) { return i.first; }
index_t get_index(const diameter_index_t& i) { return i.second; }
+typedef std::pair<index_t, value_t> index_diameter_t;
+index_t get_index(const index_diameter_t& i) { return i.first; }
+value_t get_diameter(const index_diameter_t& i) { return i.second; }
+
class diameter_entry_t : public std::pair<value_t, entry_t> {
public:
diameter_entry_t() {}
@@ -192,6 +214,31 @@ public:
size_t size() const { return rows.size(); }
};
+class sparse_distance_matrix {
+public:
+ std::vector<std::vector<index_diameter_t>> neighbors;
+
+ index_t num_edges;
+
+ sparse_distance_matrix(std::vector<std::vector<index_diameter_t>>&& _neighbors,
+ index_t _num_edges)
+ : neighbors(std::move(_neighbors)), num_edges(_num_edges) {}
+
+ template <typename DistanceMatrix>
+ sparse_distance_matrix(const DistanceMatrix& mat, value_t threshold)
+ : neighbors(mat.size()), num_edges(0) {
+
+ for (index_t i = 0; i < size(); ++i)
+ for (index_t j = 0; j < size(); ++j)
+ if (i != j && mat(i, j) <= threshold) {
+ ++num_edges;
+ neighbors[i].push_back(std::make_pair(j, mat(i, j)));
+ }
+ }
+
+ size_t size() const { return neighbors.size(); }
+};
+
template <> void compressed_distance_matrix<LOWER_TRIANGULAR>::init_rows() {
value_t* pointer = &distances[0];
for (index_t i = 1; i < size(); ++i) {
@@ -355,8 +402,8 @@ public:
}
};
-class ripser {
- compressed_lower_distance_matrix dist;
+template <typename DistanceMatrix> class ripser {
+ DistanceMatrix dist;
index_t n, dim_max;
value_t threshold;
float ratio;
@@ -364,11 +411,13 @@ class ripser {
const binomial_coeff_table binomial_coeff;
std::vector<coefficient_t> multiplicative_inverse;
mutable std::vector<index_t> vertices;
+ mutable std::vector<std::vector<index_diameter_t>::const_reverse_iterator> neighbor_it;
+ mutable std::vector<std::vector<index_diameter_t>::const_reverse_iterator> neighbor_end;
mutable std::vector<diameter_entry_t> coface_entries;
public:
- ripser(compressed_lower_distance_matrix&& _dist, index_t _dim_max, value_t _threshold,
- float _ratio, coefficient_t _modulus)
+ ripser(DistanceMatrix&& _dist, index_t _dim_max, value_t _threshold, float _ratio,
+ coefficient_t _modulus)
: dist(std::move(_dist)), n(dist.size()),
dim_max(std::min(_dim_max, index_t(dist.size() - 2))), threshold(_threshold),
ratio(_ratio), modulus(_modulus), binomial_coeff(n, dim_max + 2),
@@ -392,6 +441,10 @@ public:
return v;
}
+ index_t get_edge_index(const index_t i, const index_t j) const {
+ return binomial_coeff(i, 2) + j;
+ }
+
template <typename OutputIterator>
OutputIterator get_simplex_vertices(index_t idx, const index_t dim, index_t v,
OutputIterator out) const {
@@ -646,7 +699,7 @@ public:
}
};
-class ripser::simplex_coboundary_enumerator {
+template <> class ripser<compressed_lower_distance_matrix>::simplex_coboundary_enumerator {
private:
index_t idx_below, idx_above, v, k;
std::vector<index_t> vertices;
@@ -685,8 +738,9 @@ public:
}
};
+template <typename DistanceMatrix>
template <typename Column, typename Iterator>
-diameter_entry_t ripser::add_coboundary_and_get_pivot(
+diameter_entry_t ripser<DistanceMatrix>::add_coboundary_and_get_pivot(
Iterator column_begin, Iterator column_end, coefficient_t factor_column_to_add,
#ifdef ASSEMBLE_REDUCTION_MATRIX
Column& working_reduction_column,
@@ -721,7 +775,82 @@ diameter_entry_t ripser::add_coboundary_and_get_pivot(
return get_pivot(working_coboundary, modulus);
}
-std::vector<diameter_index_t> ripser::get_edges() {
+template <> class ripser<sparse_distance_matrix>::simplex_coboundary_enumerator {
+private:
+ const ripser& parent;
+
+ index_t idx_below, idx_above, v, k, max_vertex_below;
+ const diameter_entry_t simplex;
+ const coefficient_t modulus;
+ const sparse_distance_matrix& dist;
+ const binomial_coeff_table& binomial_coeff;
+
+ std::vector<index_t>& vertices;
+ std::vector<std::vector<index_diameter_t>::const_reverse_iterator>& neighbor_it;
+ std::vector<std::vector<index_diameter_t>::const_reverse_iterator>& neighbor_end;
+ index_diameter_t x;
+
+public:
+ simplex_coboundary_enumerator(const diameter_entry_t _simplex, index_t _dim,
+ const ripser& _parent)
+ : parent(_parent), idx_below(get_index(_simplex)), idx_above(0), v(parent.n - 1),
+ k(_dim + 1), max_vertex_below(parent.n - 1), simplex(_simplex), modulus(parent.modulus),
+ dist(parent.dist), binomial_coeff(parent.binomial_coeff), vertices(parent.vertices),
+ neighbor_it(parent.neighbor_it), neighbor_end(parent.neighbor_end) {
+
+ neighbor_it.clear();
+ neighbor_end.clear();
+ vertices.clear();
+
+ parent.get_simplex_vertices(idx_below, _dim, parent.n, std::back_inserter(vertices));
+
+ for (auto v : vertices) {
+ neighbor_it.push_back(dist.neighbors[v].rbegin());
+ neighbor_end.push_back(dist.neighbors[v].rend());
+ }
+ }
+
+ bool has_next(bool all_cofaces = true) {
+ for (auto &it0 = neighbor_it[0], &end0 = neighbor_end[0]; it0 != end0; ++it0) {
+ x = *it0;
+ for (size_t idx = 1; idx < neighbor_it.size(); ++idx) {
+ auto &it = neighbor_it[idx], end = neighbor_end[idx];
+ while (get_index(*it) > get_index(x))
+ if (++it == end) return false;
+ auto y = *it;
+ if (get_index(y) != get_index(x))
+ goto continue_outer;
+ else
+ x = std::max(x, y);
+ }
+ return all_cofaces || !(k > 0 && parent.get_next_vertex(max_vertex_below, idx_below,
+ k) > get_index(x));
+ continue_outer:;
+ }
+ return false;
+ }
+
+ diameter_entry_t next() {
+ ++neighbor_it[0];
+
+ while (k > 0 && parent.get_next_vertex(max_vertex_below, idx_below, k) > get_index(x)) {
+ idx_below -= binomial_coeff(max_vertex_below, k);
+ idx_above += binomial_coeff(max_vertex_below, k + 1);
+ --k;
+ }
+
+ value_t coface_diameter = std::max(get_diameter(simplex), get_diameter(x));
+
+ coefficient_t coface_coefficient =
+ (k & 1 ? -1 + modulus : 1) * get_coefficient(simplex) % modulus;
+
+ return diameter_entry_t(coface_diameter,
+ idx_above + binomial_coeff(get_index(x), k + 1) + idx_below,
+ coface_coefficient);
+ }
+};
+
+template <> std::vector<diameter_index_t> ripser<compressed_lower_distance_matrix>::get_edges() {
std::vector<diameter_index_t> edges;
for (index_t index = binomial_coeff(n, 2); index-- > 0;) {
value_t diameter = compute_diameter(index, 1);
@@ -730,10 +859,20 @@ std::vector<diameter_index_t> ripser::get_edges() {
return edges;
}
-void ripser::assemble_columns_to_reduce(std::vector<diameter_index_t>& simplices,
- std::vector<diameter_index_t>& columns_to_reduce,
- hash_map<index_t, index_t>& pivot_column_index,
- index_t dim) {
+template <> std::vector<diameter_index_t> ripser<sparse_distance_matrix>::get_edges() {
+ std::vector<diameter_index_t> edges;
+ for (index_t i = 0; i < n; ++i)
+ for (auto n : dist.neighbors[i]) {
+ index_t j = get_index(n);
+ if (i > j) edges.push_back(std::make_pair(get_diameter(n), get_edge_index(i, j)));
+ }
+ return edges;
+}
+
+template <>
+void ripser<compressed_lower_distance_matrix>::assemble_columns_to_reduce(
+ std::vector<diameter_index_t>& simplices, std::vector<diameter_index_t>& columns_to_reduce,
+ hash_map<index_t, index_t>& pivot_column_index, index_t dim) {
index_t num_simplices = binomial_coeff(n, dim + 1);
columns_to_reduce.clear();
@@ -768,12 +907,56 @@ void ripser::assemble_columns_to_reduce(std::vector<diameter_index_t>& simplices
#endif
}
+template <>
+void ripser<sparse_distance_matrix>::assemble_columns_to_reduce(
+ std::vector<diameter_index_t>& simplices, std::vector<diameter_index_t>& columns_to_reduce,
+ hash_map<index_t, index_t>& pivot_column_index, index_t dim) {
+
+#ifdef INDICATE_PROGRESS
+ std::cout << "\033[K"
+ << "assembling columns" << std::flush << "\r";
+#endif
+
+ --dim;
+ columns_to_reduce.clear();
+
+ std::vector<diameter_index_t> next_simplices;
+
+ for (diameter_index_t simplex : simplices) {
+ simplex_coboundary_enumerator cofaces(simplex, dim, *this);
+
+ while (cofaces.has_next(false)) {
+ auto coface = cofaces.next();
+
+ next_simplices.push_back(std::make_pair(get_diameter(coface), get_index(coface)));
+
+ if (pivot_column_index.find(get_index(coface)) == pivot_column_index.end())
+ columns_to_reduce.push_back(
+ std::make_pair(get_diameter(coface), get_index(coface)));
+ }
+ }
+
+ simplices.swap(next_simplices);
+
+#ifdef INDICATE_PROGRESS
+ std::cout << "\033[K"
+ << "sorting " << columns_to_reduce.size() << " columns" << std::flush << "\r";
+#endif
+
+ std::sort(columns_to_reduce.begin(), columns_to_reduce.end(),
+ greater_diameter_or_smaller_index<diameter_index_t>());
+#ifdef INDICATE_PROGRESS
+ std::cout << "\033[K";
+#endif
+}
+
enum file_format {
LOWER_DISTANCE_MATRIX,
UPPER_DISTANCE_MATRIX,
DISTANCE_MATRIX,
POINT_CLOUD,
DIPHA,
+ SPARSE,
RIPSER
};
@@ -814,6 +997,34 @@ compressed_lower_distance_matrix read_point_cloud(std::istream& input_stream) {
return compressed_lower_distance_matrix(std::move(distances));
}
+sparse_distance_matrix read_sparse_distance_matrix(std::istream& input_stream) {
+
+ std::vector<std::vector<index_diameter_t>> neighbors;
+
+ index_t num_edges = 0;
+
+ std::string line;
+ while (std::getline(input_stream, line)) {
+ std::istringstream s(line);
+ size_t i, j;
+ value_t value;
+ s >> i;
+ s >> j;
+ s >> value;
+ if (i != j) {
+ neighbors.resize(std::max({neighbors.size(), i + 1, j + 1}));
+ neighbors[i].push_back(std::make_pair(j, value));
+ neighbors[j].push_back(std::make_pair(i, value));
+ ++num_edges;
+ }
+ }
+
+ for (index_t i = 0; i < neighbors.size(); ++i)
+ std::sort(neighbors[i].begin(), neighbors[i].end());
+
+ return sparse_distance_matrix(std::move(neighbors), num_edges);
+}
+
compressed_lower_distance_matrix read_lower_distance_matrix(std::istream& input_stream) {
std::vector<value_t> distances;
value_t value;
@@ -895,7 +1106,7 @@ compressed_lower_distance_matrix read_file(std::istream& input_stream, file_form
return read_point_cloud(input_stream);
case DIPHA:
return read_dipha(input_stream);
- case RIPSER:
+ default:
return read_ripser(input_stream);
}
}
@@ -917,6 +1128,8 @@ void print_usage_and_exit(int exit_code) {
<< " distance (full distance matrix)" << std::endl
<< " point-cloud (point cloud in Euclidean space)" << std::endl
<< " dipha (distance matrix in DIPHA file format)" << std::endl
+ << " sparse (sparse distance matrix in Sparse Triplet format)"
+ << std::endl
<< " ripser (distance matrix in Ripser binary file format)"
<< std::endl
<< " --dim <k> compute persistent homology up to dimension <k>" << std::endl
@@ -977,6 +1190,8 @@ int main(int argc, char** argv) {
format = POINT_CLOUD;
else if (parameter == "dipha")
format = DIPHA;
+ else if (parameter == "sparse")
+ format = SPARSE;
else if (parameter == "ripser")
format = RIPSER;
else
@@ -1000,30 +1215,58 @@ int main(int argc, char** argv) {
exit(-1);
}
- compressed_lower_distance_matrix dist = read_file(filename ? file_stream : std::cin, format);
-
- value_t min = std::numeric_limits<value_t>::infinity(),
- max = -std::numeric_limits<value_t>::infinity(), max_finite = max;
- int num_edges = 0;
+ if (format == SPARSE) {
+ sparse_distance_matrix dist =
+ read_sparse_distance_matrix(filename ? file_stream : std::cin);
+ std::cout << "sparse distance matrix with " << dist.size() << " points and "
+ << dist.num_edges << "/" << (dist.size() * (dist.size() - 1)) / 2 << " entries"
+ << std::endl;
+
+ ripser<sparse_distance_matrix>(std::move(dist), dim_max, threshold, ratio, modulus)
+ .compute_barcodes();
+ } else {
+
+ compressed_lower_distance_matrix dist =
+ read_file(filename ? file_stream : std::cin, format);
+
+ value_t min = std::numeric_limits<value_t>::infinity(),
+ max = -std::numeric_limits<value_t>::infinity(), max_finite = max;
+ int num_edges = 0;
+
+ if (threshold == std::numeric_limits<value_t>::max()) {
+ value_t enclosing_radius = std::numeric_limits<value_t>::infinity();
+ for (index_t i = 0; i < dist.size(); ++i) {
+ value_t r_i = -std::numeric_limits<value_t>::infinity();
+ for (index_t j = 0; j < dist.size(); ++j) r_i = std::max(r_i, dist(i, j));
+ enclosing_radius = std::min(enclosing_radius, r_i);
+ }
- value_t enclosing_radius = std::numeric_limits<value_t>::infinity();
- for (index_t i = 0; i < dist.size(); ++i) {
- value_t r_i = -std::numeric_limits<value_t>::infinity();
- for (index_t j = 0; j < dist.size(); ++j) r_i = std::max(r_i, dist(i, j));
- enclosing_radius = std::min(enclosing_radius, r_i);
- }
+ threshold = enclosing_radius;
+ }
- if (threshold == std::numeric_limits<value_t>::max()) threshold = enclosing_radius;
+ for (auto d : dist.distances) {
+ min = std::min(min, d);
+ max = std::max(max, d);
+ max_finite =
+ d != std::numeric_limits<value_t>::infinity() ? std::max(max, d) : max_finite;
+ if (d <= threshold) ++num_edges;
+ }
- for (auto d : dist.distances) {
- min = std::min(min, d);
- max = std::max(max, d);
- max_finite = d != std::numeric_limits<value_t>::infinity() ? std::max(max, d) : max_finite;
- if (d <= threshold) ++num_edges;
- }
+ std::cout << "value range: [" << min << "," << max_finite << "]" << std::endl;
- std::cout << "value range: [" << min << "," << max_finite << "]" << std::endl;
+ if (threshold >= max) {
+ std::cout << "distance matrix with " << dist.size() << " points" << std::endl;
+ ripser<compressed_lower_distance_matrix>(std::move(dist), dim_max, threshold, ratio,
+ modulus)
+ .compute_barcodes();
+ } else {
+ std::cout << "sparse distance matrix with " << dist.size() << " points and "
+ << num_edges << "/" << (dist.size() * dist.size() - 1) / 2 << " entries"
+ << std::endl;
- std::cout << "distance matrix with " << dist.size() << " points" << std::endl;
- ripser(std::move(dist), dim_max, threshold, ratio, modulus).compute_barcodes();
+ ripser<sparse_distance_matrix>(sparse_distance_matrix(std::move(dist), threshold),
+ dim_max, threshold, ratio, modulus)
+ .compute_barcodes();
+ }
+ }
}