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-rw-r--r--ml/dlib/tools/python/test/.gitignore1
-rw-r--r--ml/dlib/tools/python/test/test_array.py107
-rw-r--r--ml/dlib/tools/python/test/test_global_optimization.py69
-rw-r--r--ml/dlib/tools/python/test/test_matrix.py100
-rw-r--r--ml/dlib/tools/python/test/test_point.py48
-rw-r--r--ml/dlib/tools/python/test/test_range.py97
-rw-r--r--ml/dlib/tools/python/test/test_rgb_pixel.py26
-rw-r--r--ml/dlib/tools/python/test/test_sparse_vector.py101
-rw-r--r--ml/dlib/tools/python/test/test_svm_c_trainer.py65
-rw-r--r--ml/dlib/tools/python/test/test_vector.py170
10 files changed, 0 insertions, 784 deletions
diff --git a/ml/dlib/tools/python/test/.gitignore b/ml/dlib/tools/python/test/.gitignore
deleted file mode 100644
index bee8a64b7..000000000
--- a/ml/dlib/tools/python/test/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-__pycache__
diff --git a/ml/dlib/tools/python/test/test_array.py b/ml/dlib/tools/python/test/test_array.py
deleted file mode 100644
index 479997ac3..000000000
--- a/ml/dlib/tools/python/test/test_array.py
+++ /dev/null
@@ -1,107 +0,0 @@
-from dlib import array
-try:
- import cPickle as pickle # Use cPickle on Python 2.7
-except ImportError:
- import pickle
-
-try:
- from types import FloatType
-except ImportError:
- FloatType = float
-
-from pytest import raises
-
-
-def test_array_init_with_number():
- a = array(5)
- assert len(a) == 5
- for i in range(5):
- assert a[i] == 0
- assert type(a[i]) == FloatType
-
-
-def test_array_init_with_negative_number():
- with raises(Exception):
- array(-5)
-
-
-def test_array_init_with_zero():
- a = array(0)
- assert len(a) == 0
-
-
-def test_array_init_with_list():
- a = array([0, 1, 2, 3, 4])
- assert len(a) == 5
- for idx, val in enumerate(a):
- assert idx == val
- assert type(val) == FloatType
-
-
-def test_array_init_with_empty_list():
- a = array([])
- assert len(a) == 0
-
-
-def test_array_init_without_argument():
- a = array()
- assert len(a) == 0
-
-
-def test_array_init_with_tuple():
- a = array((0, 1, 2, 3, 4))
- for idx, val in enumerate(a):
- assert idx == val
- assert type(val) == FloatType
-
-
-def test_array_serialization_empty():
- a = array()
- # cPickle with protocol 2 required for Python 2.7
- # see http://pybind11.readthedocs.io/en/stable/advanced/classes.html#custom-constructors
- ser = pickle.dumps(a, 2)
- deser = pickle.loads(ser)
- assert a == deser
-
-
-def test_array_serialization():
- a = array([0, 1, 2, 3, 4])
- ser = pickle.dumps(a, 2)
- deser = pickle.loads(ser)
- assert a == deser
-
-
-def test_array_extend():
- a = array()
- a.extend([0, 1, 2, 3, 4])
- assert len(a) == 5
- for idx, val in enumerate(a):
- assert idx == val
- assert type(val) == FloatType
-
-
-def test_array_string_representations_empty():
- a = array()
- assert str(a) == ""
- assert repr(a) == "array[]"
-
-
-def test_array_string_representations():
- a = array([1, 2, 3])
- assert str(a) == "1\n2\n3"
- assert repr(a) == "array[1, 2, 3]"
-
-
-def test_array_clear():
- a = array(10)
- a.clear()
- assert len(a) == 0
-
-
-def test_array_resize():
- a = array(10)
- a.resize(100)
- assert len(a) == 100
-
- for i in range(100):
- assert a[i] == 0
diff --git a/ml/dlib/tools/python/test/test_global_optimization.py b/ml/dlib/tools/python/test/test_global_optimization.py
deleted file mode 100644
index ec320909f..000000000
--- a/ml/dlib/tools/python/test/test_global_optimization.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from dlib import find_max_global, find_min_global
-import dlib
-from pytest import raises
-from math import sin,cos,pi,exp,sqrt,pow
-
-
-def test_global_optimization_nargs():
- w0 = find_max_global(lambda *args: sum(args), [0, 0, 0], [1, 1, 1], 10)
- w1 = find_min_global(lambda *args: sum(args), [0, 0, 0], [1, 1, 1], 10)
- assert w0 == ([1, 1, 1], 3)
- assert w1 == ([0, 0, 0], 0)
-
- w2 = find_max_global(lambda a, b, c, *args: a + b + c - sum(args), [0, 0, 0], [1, 1, 1], 10)
- w3 = find_min_global(lambda a, b, c, *args: a + b + c - sum(args), [0, 0, 0], [1, 1, 1], 10)
- assert w2 == ([1, 1, 1], 3)
- assert w3 == ([0, 0, 0], 0)
-
- with raises(Exception):
- find_max_global(lambda a, b: 0, [0, 0, 0], [1, 1, 1], 10)
- with raises(Exception):
- find_min_global(lambda a, b: 0, [0, 0, 0], [1, 1, 1], 10)
- with raises(Exception):
- find_max_global(lambda a, b, c, d, *args: 0, [0, 0, 0], [1, 1, 1], 10)
- with raises(Exception):
- find_min_global(lambda a, b, c, d, *args: 0, [0, 0, 0], [1, 1, 1], 10)
-
-
-def F(a,b):
- return -pow(a-2,2.0) - pow(b-4,2.0);
-def G(x):
- return 2-pow(x-5,2.0);
-
-def test_global_function_search():
- spec_F = dlib.function_spec([-10,-10], [10,10])
- spec_G = dlib.function_spec([-2], [6])
-
- opt = dlib.global_function_search([spec_F, spec_G])
-
- for i in range(15):
- next = opt.get_next_x()
- #print("next x is for function {} and has coordinates {}".format(next.function_idx, next.x))
-
- if (next.function_idx == 0):
- a = next.x[0]
- b = next.x[1]
- next.set(F(a,b))
- else:
- x = next.x[0]
- next.set(G(x))
-
- [x,y,function_idx] = opt.get_best_function_eval()
-
- #print("\nbest function was {}, with y of {}, and x of {}".format(function_idx,y,x))
-
- assert(abs(y-2) < 1e-7)
- assert(abs(x[0]-5) < 1e-7)
- assert(function_idx==1)
-
-
-
-def holder_table(x0,x1):
- return -abs(sin(x0)*cos(x1)*exp(abs(1-sqrt(x0*x0+x1*x1)/pi)))
-
-def test_on_holder_table():
- x,y = find_min_global(holder_table,
- [-10,-10],
- [10,10],
- 200)
- assert (y - -19.2085025679) < 1e-7
diff --git a/ml/dlib/tools/python/test/test_matrix.py b/ml/dlib/tools/python/test/test_matrix.py
deleted file mode 100644
index cdd9bed13..000000000
--- a/ml/dlib/tools/python/test/test_matrix.py
+++ /dev/null
@@ -1,100 +0,0 @@
-from dlib import matrix
-try:
- import cPickle as pickle # Use cPickle on Python 2.7
-except ImportError:
- import pickle
-from pytest import raises
-
-try:
- import numpy
- have_numpy = True
-except ImportError:
- have_numpy = False
-
-
-def test_matrix_empty_init():
- m = matrix()
- assert m.nr() == 0
- assert m.nc() == 0
- assert m.shape == (0, 0)
- assert len(m) == 0
- assert repr(m) == "< dlib.matrix containing: >"
- assert str(m) == ""
-
-
-def test_matrix_from_list():
- m = matrix([[0, 1, 2],
- [3, 4, 5],
- [6, 7, 8]])
- assert m.nr() == 3
- assert m.nc() == 3
- assert m.shape == (3, 3)
- assert len(m) == 3
- assert repr(m) == "< dlib.matrix containing: \n0 1 2 \n3 4 5 \n6 7 8 >"
- assert str(m) == "0 1 2 \n3 4 5 \n6 7 8"
-
- deser = pickle.loads(pickle.dumps(m, 2))
-
- for row in range(3):
- for col in range(3):
- assert m[row][col] == deser[row][col]
-
-
-def test_matrix_from_list_with_invalid_rows():
- with raises(ValueError):
- matrix([[0, 1, 2],
- [3, 4],
- [5, 6, 7]])
-
-
-def test_matrix_from_list_as_column_vector():
- m = matrix([0, 1, 2])
- assert m.nr() == 3
- assert m.nc() == 1
- assert m.shape == (3, 1)
- assert len(m) == 3
- assert repr(m) == "< dlib.matrix containing: \n0 \n1 \n2 >"
- assert str(m) == "0 \n1 \n2"
-
-
-if have_numpy:
- def test_matrix_from_object_with_2d_shape():
- m1 = numpy.array([[0, 1, 2],
- [3, 4, 5],
- [6, 7, 8]])
- m = matrix(m1)
- assert m.nr() == 3
- assert m.nc() == 3
- assert m.shape == (3, 3)
- assert len(m) == 3
- assert repr(m) == "< dlib.matrix containing: \n0 1 2 \n3 4 5 \n6 7 8 >"
- assert str(m) == "0 1 2 \n3 4 5 \n6 7 8"
-
-
- def test_matrix_from_object_without_2d_shape():
- with raises(IndexError):
- m1 = numpy.array([0, 1, 2])
- matrix(m1)
-
-
-def test_matrix_from_object_without_shape():
- with raises(AttributeError):
- matrix("invalid")
-
-
-def test_matrix_set_size():
- m = matrix()
- m.set_size(5, 5)
-
- assert m.nr() == 5
- assert m.nc() == 5
- assert m.shape == (5, 5)
- assert len(m) == 5
- assert repr(m) == "< dlib.matrix containing: \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 >"
- assert str(m) == "0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0"
-
- deser = pickle.loads(pickle.dumps(m, 2))
-
- for row in range(5):
- for col in range(5):
- assert m[row][col] == deser[row][col]
diff --git a/ml/dlib/tools/python/test/test_point.py b/ml/dlib/tools/python/test/test_point.py
deleted file mode 100644
index 75b8c191f..000000000
--- a/ml/dlib/tools/python/test/test_point.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from dlib import point, points
-try:
- import cPickle as pickle # Use cPickle on Python 2.7
-except ImportError:
- import pickle
-
-
-def test_point():
- p = point(27, 42)
- assert repr(p) == "point(27, 42)"
- assert str(p) == "(27, 42)"
- assert p.x == 27
- assert p.y == 42
- ser = pickle.dumps(p, 2)
- deser = pickle.loads(ser)
- assert deser.x == p.x
- assert deser.y == p.y
-
-
-def test_point_init_kwargs():
- p = point(y=27, x=42)
- assert repr(p) == "point(42, 27)"
- assert str(p) == "(42, 27)"
- assert p.x == 42
- assert p.y == 27
-
-
-def test_points():
- ps = points()
-
- ps.resize(5)
- assert len(ps) == 5
- for i in range(5):
- assert ps[i].x == 0
- assert ps[i].y == 0
-
- ps.clear()
- assert len(ps) == 0
-
- ps.extend([point(1, 2), point(3, 4)])
- assert len(ps) == 2
-
- ser = pickle.dumps(ps, 2)
- deser = pickle.loads(ser)
- assert deser[0].x == 1
- assert deser[0].y == 2
- assert deser[1].x == 3
- assert deser[1].y == 4
diff --git a/ml/dlib/tools/python/test/test_range.py b/ml/dlib/tools/python/test/test_range.py
deleted file mode 100644
index c881da369..000000000
--- a/ml/dlib/tools/python/test/test_range.py
+++ /dev/null
@@ -1,97 +0,0 @@
-from dlib import range, ranges, rangess
-try:
- import cPickle as pickle # Use cPickle on Python 2.7
-except ImportError:
- import pickle
-from pytest import raises
-
-
-def test_range():
- r = range(0, 10)
- assert r.begin == 0
- assert r.end == 10
- assert str(r) == "0, 10"
- assert repr(r) == "dlib.range(0, 10)"
- assert len(r) == 10
-
- ser = pickle.dumps(r, 2)
- deser = pickle.loads(ser)
-
- for a, b in zip(r, deser):
- assert a == b
-
-
-# TODO: make this init parameterization an exception?
-def test_range_wrong_order():
- r = range(5, 0)
- assert r.begin == 5
- assert r.end == 0
- assert str(r) == "5, 0"
- assert repr(r) == "dlib.range(5, 0)"
- assert len(r) == 0
-
-
-def test_range_with_negative_elements():
- with raises(TypeError):
- range(-1, 1)
- with raises(TypeError):
- range(1, -1)
-
-
-def test_ranges():
- rs = ranges()
- assert len(rs) == 0
-
- rs.resize(5)
- assert len(rs) == 5
- for r in rs:
- assert r.begin == 0
- assert r.end == 0
-
- rs.clear()
- assert len(rs) == 0
-
- rs.extend([range(1, 2), range(3, 4)])
- assert rs[0].begin == 1
- assert rs[0].end == 2
- assert rs[1].begin == 3
- assert rs[1].end == 4
-
- ser = pickle.dumps(rs, 2)
- deser = pickle.loads(ser)
- assert rs == deser
-
-
-def test_rangess():
- rss = rangess()
- assert len(rss) == 0
-
- rss.resize(5)
- assert len(rss) == 5
- for rs in rss:
- assert len(rs) == 0
-
- rss.clear()
- assert len(rss) == 0
-
- rs1 = ranges()
- rs1.append(range(1, 2))
- rs1.append(range(3, 4))
-
- rs2 = ranges()
- rs2.append(range(5, 6))
- rs2.append(range(7, 8))
-
- rss.extend([rs1, rs2])
- assert rss[0][0].begin == 1
- assert rss[0][1].begin == 3
- assert rss[1][0].begin == 5
- assert rss[1][1].begin == 7
- assert rss[0][0].end == 2
- assert rss[0][1].end == 4
- assert rss[1][0].end == 6
- assert rss[1][1].end == 8
-
- ser = pickle.dumps(rss, 2)
- deser = pickle.loads(ser)
- assert rss == deser
diff --git a/ml/dlib/tools/python/test/test_rgb_pixel.py b/ml/dlib/tools/python/test/test_rgb_pixel.py
deleted file mode 100644
index 0b3aaf5e9..000000000
--- a/ml/dlib/tools/python/test/test_rgb_pixel.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from dlib import rgb_pixel
-
-
-def test_rgb_pixel():
- p = rgb_pixel(0, 50, 100)
- assert p.red == 0
- assert p.green == 50
- assert p.blue == 100
- assert str(p) == "red: 0, green: 50, blue: 100"
- assert repr(p) == "rgb_pixel(0,50,100)"
-
- p = rgb_pixel(blue=0, red=50, green=100)
- assert p.red == 50
- assert p.green == 100
- assert p.blue == 0
- assert str(p) == "red: 50, green: 100, blue: 0"
- assert repr(p) == "rgb_pixel(50,100,0)"
-
- p.red = 100
- p.green = 0
- p.blue = 50
- assert p.red == 100
- assert p.green == 0
- assert p.blue == 50
- assert str(p) == "red: 100, green: 0, blue: 50"
- assert repr(p) == "rgb_pixel(100,0,50)"
diff --git a/ml/dlib/tools/python/test/test_sparse_vector.py b/ml/dlib/tools/python/test/test_sparse_vector.py
deleted file mode 100644
index 124e68d5d..000000000
--- a/ml/dlib/tools/python/test/test_sparse_vector.py
+++ /dev/null
@@ -1,101 +0,0 @@
-from dlib import pair, make_sparse_vector, sparse_vector, sparse_vectors, sparse_vectorss
-try:
- import cPickle as pickle # Use cPickle on Python 2.7
-except ImportError:
- import pickle
-from pytest import approx
-
-
-def test_pair():
- p = pair(4, .9)
- assert p.first == 4
- assert p.second == .9
-
- p.first = 3
- p.second = .4
-
- assert p.first == 3
- assert p.second == .4
-
- assert str(p) == "3: 0.4"
- assert repr(p) == "dlib.pair(3, 0.4)"
-
- deser = pickle.loads(pickle.dumps(p, 2))
- assert deser.first == p.first
- assert deser.second == p.second
-
-
-def test_sparse_vector():
- sv = sparse_vector()
- sv.append(pair(3, .1))
- sv.append(pair(3, .2))
- sv.append(pair(2, .3))
- sv.append(pair(1, .4))
-
- assert len(sv) == 4
- make_sparse_vector(sv)
-
- assert len(sv) == 3
- assert sv[0].first == 1
- assert sv[0].second == .4
- assert sv[1].first == 2
- assert sv[1].second == .3
- assert sv[2].first == 3
- assert sv[2].second == approx(.3)
-
- assert str(sv) == "1: 0.4\n2: 0.3\n3: 0.3"
- assert repr(sv) == "< dlib.sparse_vector containing: \n1: 0.4\n2: 0.3\n3: 0.3 >"
-
-
-def test_sparse_vectors():
- svs = sparse_vectors()
- assert len(svs) == 0
-
- svs.resize(5)
- for sv in svs:
- assert len(sv) == 0
-
- svs.clear()
- assert len(svs) == 0
-
- svs.extend([sparse_vector([pair(1, 2), pair(3, 4)]), sparse_vector([pair(5, 6), pair(7, 8)])])
-
- assert len(svs) == 2
- assert svs[0][0].first == 1
- assert svs[0][0].second == 2
- assert svs[0][1].first == 3
- assert svs[0][1].second == 4
- assert svs[1][0].first == 5
- assert svs[1][0].second == 6
- assert svs[1][1].first == 7
- assert svs[1][1].second == 8
-
- deser = pickle.loads(pickle.dumps(svs, 2))
- assert deser == svs
-
-
-def test_sparse_vectorss():
- svss = sparse_vectorss()
- assert len(svss) == 0
-
- svss.resize(5)
- for svs in svss:
- assert len(svs) == 0
-
- svss.clear()
- assert len(svss) == 0
-
- svss.extend([sparse_vectors([sparse_vector([pair(1, 2), pair(3, 4)]), sparse_vector([pair(5, 6), pair(7, 8)])])])
-
- assert len(svss) == 1
- assert svss[0][0][0].first == 1
- assert svss[0][0][0].second == 2
- assert svss[0][0][1].first == 3
- assert svss[0][0][1].second == 4
- assert svss[0][1][0].first == 5
- assert svss[0][1][0].second == 6
- assert svss[0][1][1].first == 7
- assert svss[0][1][1].second == 8
-
- deser = pickle.loads(pickle.dumps(svss, 2))
- assert deser == svss
diff --git a/ml/dlib/tools/python/test/test_svm_c_trainer.py b/ml/dlib/tools/python/test/test_svm_c_trainer.py
deleted file mode 100644
index ba9392e08..000000000
--- a/ml/dlib/tools/python/test/test_svm_c_trainer.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import division
-
-import pytest
-from random import Random
-from dlib import (vectors, vector, sparse_vectors, sparse_vector, pair, array,
- cross_validate_trainer,
- svm_c_trainer_radial_basis,
- svm_c_trainer_sparse_radial_basis,
- svm_c_trainer_histogram_intersection,
- svm_c_trainer_sparse_histogram_intersection,
- svm_c_trainer_linear,
- svm_c_trainer_sparse_linear,
- rvm_trainer_radial_basis,
- rvm_trainer_sparse_radial_basis,
- rvm_trainer_histogram_intersection,
- rvm_trainer_sparse_histogram_intersection,
- rvm_trainer_linear,
- rvm_trainer_sparse_linear)
-
-
-@pytest.fixture
-def training_data():
- r = Random(0)
- predictors = vectors()
- sparse_predictors = sparse_vectors()
- response = array()
- for i in range(30):
- for c in [-1, 1]:
- response.append(c)
- values = [r.random() + c * 0.5 for _ in range(3)]
- predictors.append(vector(values))
- sp = sparse_vector()
- for i, v in enumerate(values):
- sp.append(pair(i, v))
- sparse_predictors.append(sp)
- return predictors, sparse_predictors, response
-
-
-@pytest.mark.parametrize('trainer, class1_accuracy, class2_accuracy', [
- (svm_c_trainer_radial_basis, 1.0, 1.0),
- (svm_c_trainer_sparse_radial_basis, 1.0, 1.0),
- (svm_c_trainer_histogram_intersection, 1.0, 1.0),
- (svm_c_trainer_sparse_histogram_intersection, 1.0, 1.0),
- (svm_c_trainer_linear, 1.0, 23 / 30),
- (svm_c_trainer_sparse_linear, 1.0, 23 / 30),
- (rvm_trainer_radial_basis, 1.0, 1.0),
- (rvm_trainer_sparse_radial_basis, 1.0, 1.0),
- (rvm_trainer_histogram_intersection, 1.0, 1.0),
- (rvm_trainer_sparse_histogram_intersection, 1.0, 1.0),
- (rvm_trainer_linear, 1.0, 0.6),
- (rvm_trainer_sparse_linear, 1.0, 0.6)
-])
-def test_trainers(training_data, trainer, class1_accuracy, class2_accuracy):
- predictors, sparse_predictors, response = training_data
- if 'sparse' in trainer.__name__:
- predictors = sparse_predictors
- cv = cross_validate_trainer(trainer(), predictors, response, folds=10)
- assert cv.class1_accuracy == pytest.approx(class1_accuracy)
- assert cv.class2_accuracy == pytest.approx(class2_accuracy)
-
- decision_function = trainer().train(predictors, response)
- assert decision_function(predictors[2]) < 0
- assert decision_function(predictors[3]) > 0
- if 'linear' in trainer.__name__:
- assert len(decision_function.weights) == 3
diff --git a/ml/dlib/tools/python/test/test_vector.py b/ml/dlib/tools/python/test/test_vector.py
deleted file mode 100644
index ff79ab339..000000000
--- a/ml/dlib/tools/python/test/test_vector.py
+++ /dev/null
@@ -1,170 +0,0 @@
-from dlib import vector, vectors, vectorss, dot
-try:
- import cPickle as pickle # Use cPickle on Python 2.7
-except ImportError:
- import pickle
-from pytest import raises
-
-
-def test_vector_empty_init():
- v = vector()
- assert len(v) == 0
- assert v.shape == (0, 1)
- assert str(v) == ""
- assert repr(v) == "dlib.vector([])"
-
-
-def test_vector_init_with_number():
- v = vector(3)
- assert len(v) == 3
- assert v.shape == (3, 1)
- assert str(v) == "0\n0\n0"
- assert repr(v) == "dlib.vector([0, 0, 0])"
-
-
-def test_vector_set_size():
- v = vector(3)
-
- v.set_size(0)
- assert len(v) == 0
- assert v.shape == (0, 1)
-
- v.resize(10)
- assert len(v) == 10
- assert v.shape == (10, 1)
- for i in range(10):
- assert v[i] == 0
-
-
-def test_vector_init_with_list():
- v = vector([1, 2, 3])
- assert len(v) == 3
- assert v.shape == (3, 1)
- assert str(v) == "1\n2\n3"
- assert repr(v) == "dlib.vector([1, 2, 3])"
-
-
-def test_vector_getitem():
- v = vector([1, 2, 3])
- assert v[0] == 1
- assert v[-1] == 3
- assert v[1] == v[-2]
-
-
-def test_vector_slice():
- v = vector([1, 2, 3, 4, 5])
- v_slice = v[1:4]
- assert len(v_slice) == 3
- for idx, val in enumerate([2, 3, 4]):
- assert v_slice[idx] == val
-
- v_slice = v[-3:-1]
- assert len(v_slice) == 2
- for idx, val in enumerate([3, 4]):
- assert v_slice[idx] == val
-
- v_slice = v[1:-2]
- assert len(v_slice) == 2
- for idx, val in enumerate([2, 3]):
- assert v_slice[idx] == val
-
-
-def test_vector_invalid_getitem():
- v = vector([1, 2, 3])
- with raises(IndexError):
- v[-4]
- with raises(IndexError):
- v[3]
-
-
-def test_vector_init_with_negative_number():
- with raises(Exception):
- vector(-3)
-
-
-def test_dot():
- v1 = vector([1, 0])
- v2 = vector([0, 1])
- v3 = vector([-1, 0])
- assert dot(v1, v1) == 1
- assert dot(v1, v2) == 0
- assert dot(v1, v3) == -1
-
-
-def test_vector_serialization():
- v = vector([1, 2, 3])
- ser = pickle.dumps(v, 2)
- deser = pickle.loads(ser)
- assert str(v) == str(deser)
-
-
-def generate_test_vectors():
- vs = vectors()
- vs.append(vector([0, 1, 2]))
- vs.append(vector([3, 4, 5]))
- vs.append(vector([6, 7, 8]))
- assert len(vs) == 3
- return vs
-
-
-def generate_test_vectorss():
- vss = vectorss()
- vss.append(generate_test_vectors())
- vss.append(generate_test_vectors())
- vss.append(generate_test_vectors())
- assert len(vss) == 3
- return vss
-
-
-def test_vectors_serialization():
- vs = generate_test_vectors()
- ser = pickle.dumps(vs, 2)
- deser = pickle.loads(ser)
- assert vs == deser
-
-
-def test_vectors_clear():
- vs = generate_test_vectors()
- vs.clear()
- assert len(vs) == 0
-
-
-def test_vectors_resize():
- vs = vectors()
- vs.resize(100)
- assert len(vs) == 100
- for i in range(100):
- assert len(vs[i]) == 0
-
-
-def test_vectors_extend():
- vs = vectors()
- vs.extend([vector([1, 2, 3]), vector([4, 5, 6])])
- assert len(vs) == 2
-
-
-def test_vectorss_serialization():
- vss = generate_test_vectorss()
- ser = pickle.dumps(vss, 2)
- deser = pickle.loads(ser)
- assert vss == deser
-
-
-def test_vectorss_clear():
- vss = generate_test_vectorss()
- vss.clear()
- assert len(vss) == 0
-
-
-def test_vectorss_resize():
- vss = vectorss()
- vss.resize(100)
- assert len(vss) == 100
- for i in range(100):
- assert len(vss[i]) == 0
-
-
-def test_vectorss_extend():
- vss = vectorss()
- vss.extend([generate_test_vectors(), generate_test_vectors()])
- assert len(vss) == 2
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-17 19:25:58 +0000