def testSimple(self): self.assertTrue(pruneNulls(VALUES) == VALUES) extended_values = list(VALUES) extended_values.append(None) self.assertTrue(pruneNulls(extended_values) == VALUES) extended_values.append(np.nan) self.assertTrue(pruneNulls(extended_values) == VALUES)
def testSimple(self):
self.assertTrue(pruneNulls(VALUES) == VALUES)
extended_values = list(VALUES)
extended_values.append(None)
self.assertTrue(pruneNulls(extended_values) == VALUES)
extended_values.append(np.nan)
self.assertTrue(pruneNulls(extended_values) == VALUES)
def makeList(val):
result = cell_types.makeIterable(val)
pruned_result = pruneNulls(result)
if isinstance(pruned_result, list):
return pruned_result
else:
return [v for v in pruned_result]
def isEquivalentData(val1, val2):
"""
Determines if two objects are equivalent. Recursively
inspects iterables.
:param object val1, val2:
:return bool:
"""
warnings.filterwarnings('error')
try:
if isStr(val1) and isStr(val2):
return val1 == val2 # Catch where this becomes a warning
except Warning:
import pdb; pdb.set_trace()
pass
if isIterable(val1):
try:
pruned_val1 = pruneNulls(val1)
pruned_val2 = pruneNulls(val2)
if len(pruned_val1) == len(pruned_val2):
length = len(pruned_val1)
for idx in range(length):
if not isEquivalentData(pruned_val1[idx], pruned_val2[idx]):
return False
return True
else:
return False
except TypeError as err:
return False
elif isinstance(val2, collections.Iterable) and not isStr(val2):
return False
else:
if isFloat(val1) and isEquivalentFloats(val1, val2):
return True
try:
if val1 == val2:
return True
except:
pass
values = coerceData([val1, val2])
coerced_val1 = values[0]
coerced_val2 = values[1]
if isFloat(coerced_val1):
return isEquivalentFloats(coerced_val1, coerced_val2)
else:
return coerced_val1 == coerced_val2
def test4(self): self.assertEqual(len(pruneNulls([np.nan, np.nan])), 0)
def testEmbeddedNulls(self): extended_values = list(VALUES) extended_values.insert(0, None) self.assertTrue(pruneNulls(extended_values) == extended_values)
def test4(self):
self.assertEqual(len(pruneNulls([np.nan, np.nan])), 0)
def testEmbeddedNulls(self):
extended_values = list(VALUES)
extended_values.insert(0, None)
self.assertTrue(pruneNulls(extended_values) == extended_values)
