F1

.travis.yml

@@ -0,0 +1,5 @@
+language: generic
+python:
+    -"3.6"
+script:
+    - pytest

maxima.py

@@ -14,8 +14,13 @@ def find_maxima(x):
     """
 
     idx = []
+    max = (len(x)-1)
     for i in range(len(x)):
         # `i` is a local maximum if the signal decreases before and after it
-        if x[i-1] < x[i] and x[i+1] < x[i]:
+        if i ==0 and x[i+1] <= x[i]:
+                idx.append(i)
+        elif i ==max and x[i-1] <= x[i]:
+                idx.append(i)
+        elif 0<i<max and x[i-1] <= x[i] and x[i+1] <= x[i]:
             idx.append(i)
     return idx

test_function.py

@@ -0,0 +1,43 @@
+import numpy as np
+import pytest
+import maxima  
+from maxima import find_maxima
+
+#def test_first_set():
+  # x = [0,1,2,1,2,1,0]
+   # x = [1, 2, 2, 1]   
+   #assert  find_maxima(x) == [1,2]
+
+test_case_1 = [([0, 1, 2, 1, 2, 1, 0],[2,4]),([-i**2 for i in range(-3, 4)],[3]),([np.sin(2*alpha) for alpha in np.linspace(0.0, 5.0, 100)],[16,78]),
+([4, 2, 1, 3, 1, 2],[0,3,5]),([4, 2, 1, 3, 1, 5],[0,3,5]),([4, 2, 1, 3, 1],[0,3]),([1, 2, 2, 3, 1],[1,3]),([1, 3, 2, 2, 1],[1,3]),([3, 2, 2, 3],[0,3])]
+
+@pytest.mark.parametrize('inp,exp',test_case_1)
+def test_case_1_maxima(inp,exp):
+    out = find_maxima(inp)
+    assert out ==exp
+
+def test_randomized():
+    #given
+    seedval =0
+    rand_gen = np.random.RandomState(seed = seedval)
+    numel = rand_gen.randint(0,1000)
+    test_vec = rand_gen.random_integers(low=1,high=20,size=numel)
+    print(f'test_vec:{test_vec}')
+
+    #When
+    out =find_maxima(test_vec)
+
+    #Then
+    if out[0]==0:
+        assert test_vec[0] > test_vec[1]
+    else:
+        for k in range(1,out[0]):
+            assert test_vec[k]>=test_vec[k-1]
+    if len(out)>3 :
+        up=False
+        for i,j in zip(out[1:-2],out[2:-1]):
+            for k in range(i,j):
+                if test_vec[k] >test_vec[k-1]:
+                    up = True
+                if test_vec[k] < test_vec[k-1]:
+                    assert not up