Reformulate Math Functions

This commit is contained in:
D-X-Y
2021-04-26 05:16:38 -07:00
parent 1980779053
commit e1818694a4
14 changed files with 308 additions and 254 deletions

52
tests/test_math_adv.py Normal file
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@@ -0,0 +1,52 @@
#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.03 #
#####################################################
# pytest tests/test_math_adv.py -s #
#####################################################
import sys, random
import unittest
import pytest
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / "lib").resolve()
print("library path: {:}".format(lib_dir))
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from datasets import QuadraticFunc
from datasets import ConstantFunc
from datasets import DynamicQuadraticFunc
from datasets import ComposedSinFunc
class TestConstantFunc(unittest.TestCase):
"""Test the constant function."""
def test_simple(self):
function = ConstantFunc(0.1)
for i in range(100):
assert function(i) == 0.1
class TestDynamicFunc(unittest.TestCase):
"""Test DynamicQuadraticFunc."""
def test_simple(self):
timestamps = 30
function = DynamicQuadraticFunc()
function_param = dict()
function_param[0] = ComposedSinFunc(
num=timestamps, num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0
)
function_param[1] = ConstantFunc(constant=0.9)
function_param[2] = ComposedSinFunc(
num=timestamps, num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9
)
function.set(function_param)
print(function)
with self.assertRaises(TypeError) as context:
function(0)
function.set_timestamp(1)
print(function(2))

41
tests/test_math_base.py Normal file
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@@ -0,0 +1,41 @@
#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.03 #
#####################################################
# pytest tests/test_math_base.py -s #
#####################################################
import sys, random
import unittest
import pytest
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / "lib").resolve()
print("library path: {:}".format(lib_dir))
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from datasets import QuadraticFunc
class TestQuadraticFunc(unittest.TestCase):
"""Test the quadratic function."""
def test_simple(self):
function = QuadraticFunc([[0, 1], [0.5, 4], [1, 1]])
print(function)
for x in (0, 0.5, 1):
print("f({:})={:}".format(x, function(x)))
thresh = 0.2
self.assertTrue(abs(function(0) - 1) < thresh)
self.assertTrue(abs(function(0.5) - 4) < thresh)
self.assertTrue(abs(function(1) - 1) < thresh)
def test_none(self):
function = QuadraticFunc()
function.fit(
list_of_points=[[0, 1], [0.5, 4], [1, 1]], max_iter=3000, verbose=False
)
print(function)
thresh = 0.15
self.assertTrue(abs(function(0) - 1) < thresh)
self.assertTrue(abs(function(0.5) - 4) < thresh)
self.assertTrue(abs(function(1) - 1) < thresh)

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@@ -79,7 +79,7 @@ def test_super_sequential_v1():
super_core.SuperSimpleNorm(1, 1),
torch.nn.ReLU(),
super_core.SuperLinear(10, 10),
super_core.SuperReLU()
super_core.SuperReLU(),
)
inputs = torch.rand(10, 10)
print(model)

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@@ -13,7 +13,7 @@ print("library path: {:}".format(lib_dir))
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from datasets import ConstantGenerator, SinGenerator
from datasets import ConstantFunc, ComposedSinFunc
from datasets import SyntheticDEnv
@@ -21,10 +21,10 @@ class TestSynethicEnv(unittest.TestCase):
"""Test the synethtic environment."""
def test_simple(self):
mean_generator = SinGenerator()
std_generator = ConstantGenerator(constant=0.5)
mean_generator = ComposedSinFunc(constant=0.1)
std_generator = ConstantFunc(constant=0.5)
dataset = SyntheticDEnv([mean_generator], [[std_generator]])
dataset = SyntheticDEnv([mean_generator], [[std_generator]], num_per_task=5000)
print(dataset)
for timestamp, tau in dataset:
assert tau.shape == (5000, 1)

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@@ -13,74 +13,19 @@ print("library path: {:}".format(lib_dir))
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from datasets import QuadraticFunc
from datasets import ConstantGenerator, SinGenerator
from datasets import DynamicQuadraticFunc
from datasets import TimeStamp
class TestQuadraticFunc(unittest.TestCase):
"""Test the quadratic function."""
class TestTimeStamp(unittest.TestCase):
"""Test the timestamp generator."""
def test_simple(self):
function = QuadraticFunc([[0, 1], [0.5, 4], [1, 1]])
print(function)
for x in (0, 0.5, 1):
print("f({:})={:}".format(x, function(x)))
thresh = 0.2
self.assertTrue(abs(function(0) - 1) < thresh)
self.assertTrue(abs(function(0.5) - 4) < thresh)
self.assertTrue(abs(function(1) - 1) < thresh)
def test_none(self):
function = QuadraticFunc()
function.fit([[0, 1], [0.5, 4], [1, 1]], max_iter=3000, verbose=False)
print(function)
thresh = 0.15
self.assertTrue(abs(function(0) - 1) < thresh)
self.assertTrue(abs(function(0.5) - 4) < thresh)
self.assertTrue(abs(function(1) - 1) < thresh)
class TestConstantGenerator(unittest.TestCase):
"""Test the constant data generator."""
def test_simple(self):
dataset = ConstantGenerator()
for i, (idx, t, x) in enumerate(dataset):
assert i == idx, "First loop: {:} vs {:}".format(i, idx)
assert x == 0.1
class TestSinGenerator(unittest.TestCase):
"""Test the synethtic data generator."""
def test_simple(self):
dataset = SinGenerator()
for i, (idx, t, x) in enumerate(dataset):
assert i == idx, "First loop: {:} vs {:}".format(i, idx)
for i, (idx, t, x) in enumerate(dataset):
assert i == idx, "Second loop: {:} vs {:}".format(i, idx)
class TestDynamicFunc(unittest.TestCase):
"""Test DynamicQuadraticFunc."""
def test_simple(self):
timestamps = 30
function = DynamicQuadraticFunc()
function_param = dict()
function_param[0] = SinGenerator(
num=timestamps, num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0
)
function_param[1] = ConstantGenerator(constant=0.9)
function_param[2] = SinGenerator(
num=timestamps, num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9
)
function.set(function_param)
print(function)
with self.assertRaises(TypeError) as context:
function(0)
function.set_timestamp(1)
print(function(2))
for mode in (None, "train", "valid", "test"):
generator = TimeStamp(0, 1)
print(generator)
for idx, (i, xtime) in enumerate(generator):
self.assertTrue(i == idx)
if idx == 0:
self.assertTrue(xtime == 0)
if idx + 1 == len(generator):
self.assertTrue(abs(xtime - 1) < 1e-8)