From e2910130e8ae2f268b555a6f5cb752eebae3ffc1 Mon Sep 17 00:00:00 2001
From: ASPP Student <student@localhost>
Date: Tue, 3 Sep 2019 09:29:13 +0200
Subject: [PATCH 1/5] local maxima of list

---
 hands_on/local_maxima/local_maxima.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)
 create mode 100644 hands_on/local_maxima/local_maxima.py

diff --git a/hands_on/local_maxima/local_maxima.py b/hands_on/local_maxima/local_maxima.py
new file mode 100644
index 0000000..2a834f9
--- /dev/null
+++ b/hands_on/local_maxima/local_maxima.py
@@ -0,0 +1,13 @@
+import numpy as np
+
+def local_maxima(numlist):
+    loc = 0
+    curr = numlist[0]
+    for idx, elem in enumerate(numlist):
+        if elem>curr:
+            loc = idx
+            curr = elem
+    print(loc)
+    return loc
+
+#local_maxima([1, 3, -1, 2, 1])

From aa113f51bb4505cf31a5197a2750056581682142 Mon Sep 17 00:00:00 2001
From: ASPP Student <student@localhost>
Date: Tue, 3 Sep 2019 09:51:26 +0200
Subject: [PATCH 2/5] add some test cases

---
 hands_on/local_maxima/local_maxima.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/hands_on/local_maxima/local_maxima.py b/hands_on/local_maxima/local_maxima.py
index 2a834f9..a6be11d 100644
--- a/hands_on/local_maxima/local_maxima.py
+++ b/hands_on/local_maxima/local_maxima.py
@@ -1,6 +1,7 @@
 import numpy as np
 
 def local_maxima(numlist):
+    #numlist = input('enter list')
     loc = 0
     curr = numlist[0]
     for idx, elem in enumerate(numlist):
@@ -11,3 +12,5 @@ def local_maxima(numlist):
     return loc
 
 #local_maxima([1, 3, -1, 2, 1])
+#local_maxima([1,4,-5,0,2,1])
+#local_maxima([-1,-1,0,1])

From e3812e85f8b39fcf20b6e49618ec63b4db1807b3 Mon Sep 17 00:00:00 2001
From: ASPP Student <student@localhost>
Date: Tue, 3 Sep 2019 10:33:42 +0200
Subject: [PATCH 3/5] testing tests

---
 hands_on/pyanno_voting/test_something.py | 32 ++++++++++++++++++++++++
 1 file changed, 32 insertions(+)
 create mode 100644 hands_on/pyanno_voting/test_something.py

diff --git a/hands_on/pyanno_voting/test_something.py b/hands_on/pyanno_voting/test_something.py
new file mode 100644
index 0000000..b676ed9
--- /dev/null
+++ b/hands_on/pyanno_voting/test_something.py
@@ -0,0 +1,32 @@
+from math import isclose
+import numpy
+
+def test_floating():
+    assert isclose(1.1 + 2.2, 3.3)
+
+#def test_tol():
+#    assert isclose(1.1 + 2.2, abs_tol=0.1)
+
+def test_arraysum():
+    x = numpy.array([1,1])
+    y = numpy.array([2,2])
+    z = numpy.array([3,3])
+    assert all(x + y == z)
+
+
+def test_arithmetic():
+    assert 1 == 1
+    assert 2 * 3 == 6
+
+def test_len_list():
+    lst = ['a', 'b', 'c']
+    assert len(lst) == 3
+
+def test_equalthree():
+    assert 1 + 2 == 3
+
+def test_truthy():
+    assert 1
+
+#def test_floatsum():
+#    assert 1.1 + 2.2 == 3.3

From 4eef200a17646dea6987fa2dac9a3880c4f5c26a Mon Sep 17 00:00:00 2001
From: ASPP Student <student@localhost>
Date: Tue, 3 Sep 2019 11:08:18 +0200
Subject: [PATCH 4/5] testing tests floats and arrays

---
 hands_on/pyanno_voting/test_something.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/hands_on/pyanno_voting/test_something.py b/hands_on/pyanno_voting/test_something.py
index b676ed9..38b3829 100644
--- a/hands_on/pyanno_voting/test_something.py
+++ b/hands_on/pyanno_voting/test_something.py
@@ -1,5 +1,6 @@
 from math import isclose
 import numpy
+#from numpy import assert_array_equal
 
 def test_floating():
     assert isclose(1.1 + 2.2, 3.3)
@@ -12,6 +13,7 @@ def test_arraysum():
     y = numpy.array([2,2])
     z = numpy.array([3,3])
     assert all(x + y == z)
+    #assert_array_equal(x + y, z)
 
 
 def test_arithmetic():

From 2c70650acee7066d253b7810fb225475e146bd58 Mon Sep 17 00:00:00 2001
From: ASPP Student <student@localhost>
Date: Tue, 3 Sep 2019 15:15:28 +0200
Subject: [PATCH 5/5] Fixes:6

---
 hands_on/numerical_fuzzing/test_var.py | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)
 create mode 100644 hands_on/numerical_fuzzing/test_var.py

diff --git a/hands_on/numerical_fuzzing/test_var.py b/hands_on/numerical_fuzzing/test_var.py
new file mode 100644
index 0000000..d034321
--- /dev/null
+++ b/hands_on/numerical_fuzzing/test_var.py
@@ -0,0 +1,22 @@
+#Create a directory called numerical_fuzzing in hands_on.
+#In a module called test_var.py, write two tests for the variance function, numpy.var:
+#    First, a deterministic test
+#    Then, a numerical fuzzing test
+from math import isclose
+import numpy
+from numpy import testing
+
+def test_var_deterministic():
+    x = numpy.array([-2.0, 2.0, 6.0])
+    expected = 10.6
+    assert isclose(numpy.var(x), expected, abs_tol = 0.1)
+
+def test_var_fuzzing():
+    rand_state = numpy.random.RandomState(1333)
+    N, D = 100000, 5
+    #Goal var: [0.1 , 0.45, 0.8 , 1.15, 1.5]
+    expected = numpy.linspace(0.1, 1.5, D)
+    # Generate random, D-dimensional data with the desired mean
+    x = rand_state.randn(N, D) * expected
+    vars = numpy.var(x, axis=0)
+    numpy.testing.assert_allclose(vars, expected*expected, rtol=1e-2)