Add LICENSE.md

Author: edschofield

LICENSE.md

@@ -0,0 +1,28 @@
+Copyright (c) 2003-2024 Ed Schofield
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+  a. Redistributions of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+  b. Redistributions in binary form must reproduce the above copyright
+     notice, this list of conditions and the following disclaimer in the
+     documentation and/or other materials provided with the distribution.
+  c. Neither the name of the Enthought nor the names of its contributors
+     may be used to endorse or promote products derived from this software
+     without specific prior written permission.
+
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.
+

tests/test_maxentropy.py

@@ -4,31 +4,25 @@
 Test functions for maximum entropy module.
 """
 
-from numpy.testing import assert_almost_equal, TestCase, run_module_suite
-from numpy import arange, log, exp, ones
-from scipy.maxentropy.maxentropy import logsumexp
+from numpy import arange, log, exp, ones, isclose
+from scipy_maxentropy import logsumexp
 
 
-class TestMaxentropy(TestCase):
+def test_logsumexp(self):
     """Test whether logsumexp() function correctly handles large
     inputs.
     """
 
-    def test_logsumexp(self):
-        a = arange(200)
-        desired = log(sum(exp(a)))
-        assert_almost_equal(logsumexp(a), desired)
+    a = arange(200)
+    desired = log(sum(exp(a)))
+    assert isclose(logsumexp(a), desired)
 
-        # Now test with large numbers
-        b = [1000, 1000]
-        desired = 1000.0 + log(2.0)
-        assert_almost_equal(logsumexp(b), desired)
+    # Now test with large numbers
+    b = [1000, 1000]
+    desired = 1000.0 + log(2.0)
+    assert isclose(logsumexp(b), desired)
 
-        n = 1000
-        b = ones(n) * 10000
-        desired = 10000.0 + log(n)
-        assert_almost_equal(logsumexp(b), desired)
-
-
-if __name__ == "__main__":
-    run_module_suite()
+    n = 1000
+    b = ones(n) * 10000
+    desired = 10000.0 + log(n)
+    assert isclose(logsumexp(b), desired)