Merge pull request #1001 from borglab/feature/markdown_values

release/4.3a0
Frank Dellaert 2022-01-03 19:11:10 -05:00 committed by GitHub
commit 53b4053c20
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GPG Key ID: 4AEE18F83AFDEB23
24 changed files with 172 additions and 62 deletions

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@ -179,9 +179,9 @@ namespace gtsam {
}
/* ************************************************************************* */
std::string DecisionTreeFactor::markdown(
const KeyFormatter& keyFormatter) const {
std::stringstream ss;
string DecisionTreeFactor::markdown(const KeyFormatter& keyFormatter,
const Names& names) const {
stringstream ss;
// Print out header and construct argument for `cartesianProduct`.
ss << "|";
@ -200,7 +200,10 @@ namespace gtsam {
for (const auto& kv : rows) {
ss << "|";
auto assignment = kv.first;
for (auto& key : keys()) ss << assignment.at(key) << "|";
for (auto& key : keys()) {
size_t index = assignment.at(key);
ss << Translate(names, key, index) << "|";
}
ss << kv.second << "|\n";
}
return ss.str();

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@ -192,9 +192,15 @@ namespace gtsam {
std::string dot(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
bool showZero = true) const;
/// Render as markdown table.
std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override;
/**
* @brief Render as markdown table
*
* @param keyFormatter GTSAM-style Key formatter.
* @param names optional, category names corresponding to choices.
* @return std::string a markdown string.
*/
std::string markdown(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const Names& names = {}) const override;
/// @}

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@ -63,12 +63,13 @@ namespace gtsam {
/* ************************************************************************* */
std::string DiscreteBayesNet::markdown(
const KeyFormatter& keyFormatter) const {
const KeyFormatter& keyFormatter,
const DiscreteFactor::Names& names) const {
using std::endl;
std::stringstream ss;
ss << "`DiscreteBayesNet` of size " << size() << endl << endl;
for(const DiscreteConditional::shared_ptr& conditional: *this)
ss << conditional->markdown(keyFormatter) << endl;
ss << conditional->markdown(keyFormatter, names) << endl;
return ss.str();
}
/* ************************************************************************* */

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@ -108,8 +108,8 @@ namespace gtsam {
/// @{
/// Render as markdown table.
std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const;
std::string markdown(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const DiscreteFactor::Names& names = {}) const;
/// @}

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@ -57,13 +57,14 @@ namespace gtsam {
/* **************************************************************************/
std::string DiscreteBayesTree::markdown(
const KeyFormatter& keyFormatter) const {
const KeyFormatter& keyFormatter,
const DiscreteFactor::Names& names) const {
using std::endl;
std::stringstream ss;
ss << "`DiscreteBayesTree` of size " << nodes_.size() << endl << endl;
auto visitor = [&](const DiscreteBayesTreeClique::shared_ptr& clique,
size_t& indent) {
ss << "\n" << clique->conditional()->markdown(keyFormatter);
ss << "\n" << clique->conditional()->markdown(keyFormatter, names);
return indent + 1;
};
size_t indent;

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@ -93,8 +93,8 @@ class GTSAM_EXPORT DiscreteBayesTree
/// @{
/// Render as markdown table.
std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const;
std::string markdown(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const DiscreteFactor::Names& names = {}) const;
/// @}
};

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@ -282,9 +282,18 @@ size_t DiscreteConditional::sample(size_t parent_value) const {
return sample(values);
}
/* ******************************************************************************** */
size_t DiscreteConditional::sample() const {
if (nrParents() != 0)
throw std::invalid_argument(
"sample() can only be invoked on no-parent prior");
DiscreteValues values;
return sample(values);
}
/* ************************************************************************* */
std::string DiscreteConditional::markdown(
const KeyFormatter& keyFormatter) const {
std::string DiscreteConditional::markdown(const KeyFormatter& keyFormatter,
const Names& names) const {
std::stringstream ss;
// Print out signature.
@ -317,7 +326,7 @@ std::string DiscreteConditional::markdown(
ss << "|";
const_iterator it;
for(Key parent: parents()) {
ss << keyFormatter(parent) << "|";
ss << "*" << keyFormatter(parent) << "*|";
pairs.emplace_back(parent, cardinalities_.at(parent));
}
@ -331,7 +340,10 @@ std::string DiscreteConditional::markdown(
pairs.rend() - nrParents());
const auto frontal_assignments = cartesianProduct(slatnorf);
for (const auto& a : frontal_assignments) {
for (it = beginFrontals(); it != endFrontals(); ++it) ss << a.at(*it);
for (it = beginFrontals(); it != endFrontals(); ++it) {
size_t index = a.at(*it);
ss << Translate(names, *it, index);
}
ss << "|";
}
ss << "\n";
@ -348,8 +360,10 @@ std::string DiscreteConditional::markdown(
for (const auto& a : assignments) {
if (count == 0) {
ss << "|";
for (it = beginParents(); it != endParents(); ++it)
ss << a.at(*it) << "|";
for (it = beginParents(); it != endParents(); ++it) {
size_t index = a.at(*it);
ss << Translate(names, *it, index) << "|";
}
}
ss << operator()(a) << "|";
count = (count + 1) % n;

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@ -162,9 +162,12 @@ public:
size_t sample(const DiscreteValues& parentsValues) const;
/// Single value version.
/// Single parent version.
size_t sample(size_t parent_value) const;
/// Zero parent version.
size_t sample() const;
/// @}
/// @name Advanced Interface
/// @{
@ -180,8 +183,8 @@ public:
/// @{
/// Render as markdown table.
std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override;
std::string markdown(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const Names& names = {}) const override;
/// @}
};

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@ -19,9 +19,20 @@
#include <gtsam/discrete/DiscreteFactor.h>
#include <sstream>
using namespace std;
namespace gtsam {
/* ************************************************************************* */
} // namespace gtsam
string DiscreteFactor::Translate(const Names& names, Key key, size_t index) {
if (names.empty()) {
stringstream ss;
ss << index;
return ss.str();
} else {
return names.at(key)[index];
}
}
} // namespace gtsam

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@ -89,9 +89,22 @@ public:
/// @name Wrapper support
/// @{
/// Render as markdown table.
/// Translation table from values to strings.
using Names = std::map<Key, std::vector<std::string>>;
/// Translate an integer index value for given key to a string.
static std::string Translate(const Names& names, Key key, size_t index);
/**
* @brief Render as markdown table
*
* @param keyFormatter GTSAM-style Key formatter.
* @param names optional, category names corresponding to choices.
* @return std::string a markdown string.
*/
virtual std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const = 0;
const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const Names& names = {}) const = 0;
/// @}
};

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@ -16,15 +16,17 @@
* @author Frank Dellaert
*/
//#define ENABLE_TIMING
#include <gtsam/discrete/DiscreteFactorGraph.h>
#include <gtsam/discrete/DiscreteConditional.h>
#include <gtsam/discrete/DiscreteBayesTree.h>
#include <gtsam/discrete/DiscreteConditional.h>
#include <gtsam/discrete/DiscreteEliminationTree.h>
#include <gtsam/discrete/DiscreteFactorGraph.h>
#include <gtsam/discrete/DiscreteJunctionTree.h>
#include <gtsam/inference/FactorGraph-inst.h>
#include <gtsam/inference/EliminateableFactorGraph-inst.h>
#include <boost/make_shared.hpp>
#include <gtsam/inference/FactorGraph-inst.h>
using std::vector;
using std::string;
using std::map;
namespace gtsam {
@ -64,7 +66,7 @@ namespace gtsam {
}
/* ************************************************************************* */
void DiscreteFactorGraph::print(const std::string& s,
void DiscreteFactorGraph::print(const string& s,
const KeyFormatter& formatter) const {
std::cout << s << std::endl;
std::cout << "size: " << size() << std::endl;
@ -130,14 +132,15 @@ namespace gtsam {
}
/* ************************************************************************* */
std::string DiscreteFactorGraph::markdown(
const KeyFormatter& keyFormatter) const {
string DiscreteFactorGraph::markdown(
const KeyFormatter& keyFormatter,
const DiscreteFactor::Names& names) const {
using std::endl;
std::stringstream ss;
ss << "`DiscreteFactorGraph` of size " << size() << endl << endl;
for (size_t i = 0; i < factors_.size(); i++) {
ss << "factor " << i << ":\n";
ss << factors_[i]->markdown(keyFormatter) << endl;
ss << factors_[i]->markdown(keyFormatter, names) << endl;
}
return ss.str();
}

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@ -24,7 +24,10 @@
#include <gtsam/discrete/DecisionTreeFactor.h>
#include <gtsam/discrete/DiscreteBayesNet.h>
#include <gtsam/base/FastSet.h>
#include <boost/make_shared.hpp>
#include <string>
#include <vector>
namespace gtsam {
@ -140,9 +143,15 @@ public:
/// @name Wrapper support
/// @{
/// Render as markdown table.
std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const;
/**
* @brief Render as markdown table
*
* @param keyFormatter GTSAM-style Key formatter.
* @param names optional, a map from Key to category names.
* @return std::string a (potentially long) markdown string.
*/
std::string markdown(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const DiscreteFactor::Names& names = {}) const;
/// @}
}; // \ DiscreteFactorGraph

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@ -98,7 +98,7 @@ class GTSAM_EXPORT DiscretePrior : public DiscreteConditional {
* sample
* @return sample from conditional
*/
size_t sample() const { return Base::sample({}); }
size_t sample() const { return Base::sample(); }
/// @}
};

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@ -52,6 +52,8 @@ virtual class DecisionTreeFactor : gtsam::DiscreteFactor {
std::vector<std::pair<DiscreteValues, double>> enumerate() const;
string markdown(const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
string markdown(const gtsam::KeyFormatter& keyFormatter,
std::map<gtsam::Key, std::vector<std::string>> names) const;
};
#include <gtsam/discrete/DiscreteConditional.h>
@ -84,10 +86,13 @@ virtual class DiscreteConditional : gtsam::DecisionTreeFactor {
size_t solve(const gtsam::DiscreteValues& parentsValues) const;
size_t sample(const gtsam::DiscreteValues& parentsValues) const;
size_t sample(size_t value) const;
size_t sample() const;
void solveInPlace(gtsam::DiscreteValues @parentsValues) const;
void sampleInPlace(gtsam::DiscreteValues @parentsValues) const;
string markdown(const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
string markdown(const gtsam::KeyFormatter& keyFormatter,
std::map<gtsam::Key, std::vector<std::string>> names) const;
};
#include <gtsam/discrete/DiscretePrior.h>
@ -101,7 +106,6 @@ virtual class DiscretePrior : gtsam::DiscreteConditional {
double operator()(size_t value) const;
std::vector<double> pmf() const;
size_t solve() const;
size_t sample() const;
};
#include <gtsam/discrete/DiscreteBayesNet.h>
@ -130,6 +134,8 @@ class DiscreteBayesNet {
gtsam::DiscreteValues sample() const;
string markdown(const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
string markdown(const gtsam::KeyFormatter& keyFormatter,
std::map<gtsam::Key, std::vector<std::string>> names) const;
};
#include <gtsam/discrete/DiscreteBayesTree.h>
@ -164,6 +170,8 @@ class DiscreteBayesTree {
string markdown(const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
string markdown(const gtsam::KeyFormatter& keyFormatter,
std::map<gtsam::Key, std::vector<std::string>> names) const;
};
#include <gtsam/inference/DotWriter.h>
@ -211,6 +219,8 @@ class DiscreteFactorGraph {
string markdown(const gtsam::KeyFormatter& keyFormatter =
gtsam::DefaultKeyFormatter) const;
string markdown(const gtsam::KeyFormatter& keyFormatter,
std::map<gtsam::Key, std::vector<std::string>> names) const;
};
} // namespace gtsam

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@ -119,6 +119,27 @@ TEST(DecisionTreeFactor, markdown) {
EXPECT(actual == expected);
}
/* ************************************************************************* */
// Check markdown representation with a value formatter.
TEST(DecisionTreeFactor, markdownWithValueFormatter) {
DiscreteKey A(12, 3), B(5, 2);
DecisionTreeFactor f(A & B, "1 2 3 4 5 6");
string expected =
"|A|B|value|\n"
"|:-:|:-:|:-:|\n"
"|Zero|-|1|\n"
"|Zero|+|2|\n"
"|One|-|3|\n"
"|One|+|4|\n"
"|Two|-|5|\n"
"|Two|+|6|\n";
auto keyFormatter = [](Key key) { return key == 12 ? "A" : "B"; };
DecisionTreeFactor::Names names{{12, {"Zero", "One", "Two"}},
{5, {"-", "+"}}};
string actual = f.markdown(keyFormatter, names);
EXPECT(actual == expected);
}
/* ************************************************************************* */
int main() {
TestResult tr;

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@ -187,7 +187,7 @@ TEST(DiscreteBayesNet, markdown) {
"|1|0.01|\n"
"\n"
" *P(Smoking|Asia)*:\n\n"
"|Asia|0|1|\n"
"|*Asia*|0|1|\n"
"|:-:|:-:|:-:|\n"
"|0|0.8|0.2|\n"
"|1|0.7|0.3|\n\n";

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@ -143,7 +143,7 @@ TEST(DiscreteConditional, markdown_multivalued) {
A | B = "2/88/10 2/20/78 33/33/34 33/33/34 95/2/3");
string expected =
" *P(a1|b1)*:\n\n"
"|b1|0|1|2|\n"
"|*b1*|0|1|2|\n"
"|:-:|:-:|:-:|:-:|\n"
"|0|0.02|0.88|0.1|\n"
"|1|0.02|0.2|0.78|\n"
@ -161,17 +161,19 @@ TEST(DiscreteConditional, markdown) {
DiscreteConditional conditional(A, {B, C}, "0/1 1/3 1/1 3/1 0/1 1/0");
string expected =
" *P(A|B,C)*:\n\n"
"|B|C|0|1|\n"
"|*B*|*C*|T|F|\n"
"|:-:|:-:|:-:|:-:|\n"
"|0|0|0|1|\n"
"|0|1|0.25|0.75|\n"
"|0|2|0.5|0.5|\n"
"|1|0|0.75|0.25|\n"
"|1|1|0|1|\n"
"|1|2|1|0|\n";
vector<string> names{"C", "B", "A"};
auto formatter = [names](Key key) { return names[key]; };
string actual = conditional.markdown(formatter);
"|-|Zero|0|1|\n"
"|-|One|0.25|0.75|\n"
"|-|Two|0.5|0.5|\n"
"|+|Zero|0.75|0.25|\n"
"|+|One|0|1|\n"
"|+|Two|1|0|\n";
vector<string> keyNames{"C", "B", "A"};
auto formatter = [keyNames](Key key) { return keyNames[key]; };
DecisionTreeFactor::Names names{
{0, {"Zero", "One", "Two"}}, {1, {"-", "+"}}, {2, {"T", "F"}}};
string actual = conditional.markdown(formatter, names);
EXPECT(actual == expected);
}

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@ -28,6 +28,8 @@ static const DiscreteKey X(0, 2);
/* ************************************************************************* */
TEST(DiscretePrior, constructors) {
DiscretePrior actual(X % "2/3");
EXPECT_LONGS_EQUAL(1, actual.nrFrontals());
EXPECT_LONGS_EQUAL(0, actual.nrParents());
DecisionTreeFactor f(X, "0.4 0.6");
DiscretePrior expected(f);
EXPECT(assert_equal(expected, actual, 1e-9));
@ -41,12 +43,18 @@ TEST(DiscretePrior, operator) {
}
/* ************************************************************************* */
TEST(DiscretePrior, to_vector) {
TEST(DiscretePrior, pmf) {
DiscretePrior prior(X % "2/3");
vector<double> expected {0.4, 0.6};
EXPECT(prior.pmf() == expected);
}
/* ************************************************************************* */
TEST(DiscretePrior, sample) {
DiscretePrior prior(X % "2/3");
prior.sample();
}
/* ************************************************************************* */
int main() {
TestResult tr;

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@ -86,8 +86,8 @@ class GTSAM_EXPORT Constraint : public DiscreteFactor {
/// @{
/// Render as markdown table.
std::string markdown(
const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override {
std::string markdown(const KeyFormatter& keyFormatter = DefaultKeyFormatter,
const Names& names = {}) const override {
return (boost::format("`Constraint` on %1% variables\n") % (size())).str();
}

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@ -115,7 +115,7 @@ void runLargeExample() {
// Do brute force product and output that to file
if (scheduler.nrStudents() == 1) { // otherwise too slow
DecisionTreeFactor product = scheduler.product();
product.dot("scheduling-large", false);
product.dot("scheduling-large", DefaultKeyFormatter, false);
}
// Do exact inference

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@ -115,7 +115,7 @@ void runLargeExample() {
// Do brute force product and output that to file
if (scheduler.nrStudents() == 1) { // otherwise too slow
DecisionTreeFactor product = scheduler.product();
product.dot("scheduling-large", false);
product.dot("scheduling-large", DefaultKeyFormatter, false);
}
// Do exact inference

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@ -139,7 +139,7 @@ void runLargeExample() {
// Do brute force product and output that to file
if (scheduler.nrStudents() == 1) { // otherwise too slow
DecisionTreeFactor product = scheduler.product();
product.dot("scheduling-large", false);
product.dot("scheduling-large", DefaultKeyFormatter, false);
}
// Do exact inference

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@ -50,7 +50,7 @@ class TestDiscreteConditional(GtsamTestCase):
"0/1 1/3 1/1 3/1 0/1 1/0")
expected = \
" *P(A|B,C)*:\n\n" \
"|B|C|0|1|\n" \
"|*B*|*C*|0|1|\n" \
"|:-:|:-:|:-:|:-:|\n" \
"|0|0|0|1|\n" \
"|0|1|0.25|0.75|\n" \

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@ -6,7 +6,7 @@ All Rights Reserved
See LICENSE for the license information
Unit tests for Discrete Priors.
Author: Varun Agrawal
Author: Frank Dellaert
"""
# pylint: disable=no-name-in-module, invalid-name
@ -42,6 +42,11 @@ class TestDiscretePrior(GtsamTestCase):
expected = np.array([0.4, 0.6])
np.testing.assert_allclose(expected, prior.pmf())
def test_sample(self):
prior = DiscretePrior(X, "2/3")
actual = prior.sample()
self.assertIsInstance(actual, int)
def test_markdown(self):
"""Test the _repr_markdown_ method."""