def test_load_site_class2Vs30_2(self):
a = 60.0
b = 2.0
title_index_dic = {"site_class": 0, "vs30": 1}
attribute_dic = {"site_class": ["A", "B"], "vs30": [a, b]}
answer = {"A": 60.0, "B": 2.0}
handle, file_name = tempfile.mkstemp(".csv", "test_regolith_")
os.close(handle)
dict2csv(file_name, title_index_dic, attribute_dic)
file_handle = open(file_name, "rb")
results = load_site_class2Vs30(file_handle)
os.remove(file_name)
self.failUnless(results == answer, "Failed!")
def test_load_site_class2Vs30_2(self):
a = 60.0
b = 2.0
title_index_dic = {'site_class': 0, 'vs30': 1}
attribute_dic = {'site_class': ['A', 'B'], 'vs30': [a, b]}
answer = {'A': 60., 'B': 2.0}
handle, file_name = tempfile.mkstemp('.csv', 'test_regolith_')
os.close(handle)
dict2csv(file_name, title_index_dic, attribute_dic)
file_handle = open(file_name, "rb")
results = load_site_class2Vs30(file_handle)
os.remove(file_name)
self.failUnless(results == answer, 'Failed!')
def test_load_site_class2Vs30_bad(self):
a = 60.0
b = 2.0
title_index_dic = {"site_class": 0, "vs30yeah": 1}
attribute_dic = {"site_class": ["A", "B"], "vs30yeah": [a, b]}
answer = {"A": 60.0, "B": 2.0}
handle, file_name = tempfile.mkstemp(".csv", "test_regolith_")
os.close(handle)
dict2csv(file_name, title_index_dic, attribute_dic)
try:
results = load_site_class2Vs30(file_name)
except IOError:
os.remove(file_name)
pass
else:
os.remove(file_name)
self.failUnless(False, "KeyError not raised")
def test_load_site_class2Vs30_bad(self):
a = 60.0
b = 2.0
title_index_dic = {'site_class': 0, 'vs30yeah': 1}
attribute_dic = {'site_class': ['A', 'B'], 'vs30yeah': [a, b]}
answer = {'A': 60., 'B': 2.0}
handle, file_name = tempfile.mkstemp('.csv', 'test_regolith_')
os.close(handle)
dict2csv(file_name, title_index_dic, attribute_dic)
try:
results = load_site_class2Vs30(file_name)
except IOError:
os.remove(file_name)
pass
else:
os.remove(file_name)
self.failUnless(False, "KeyError not raised")
def write_test_file(file_name, attribute_dic=None):
title_index_dic={
'BID':0,
'LATITUDE':1,
'LONGITUDE':2,
'STRUCTURE_CLASSIFICATION':3,
'STRUCTURE_CATEGORY':4,
'HAZUS_USAGE':5,
'SUBURB':6,
'POSTCODE':7,
'PRE1989':8,
'HAZUS_STRUCTURE_CLASSIFICATION':9,
'CONTENTS_COST_DENSITY':10,
'BUILDING_COST_DENSITY':11,
'FLOOR_AREA':12,
'SURVEY_FACTOR':13,
'FCB_USAGE':14,
'SITE_CLASS':15,
'CD_CODE':16
}
if attribute_dic is None:
attribute_dic={
'BID':[1,2],
'LATITUDE':[-32.9,32.7],
'LONGITUDE':[151.7,151.3],
'STRUCTURE_CLASSIFICATION':['W1BVTILE','S3'],
'STRUCTURE_CATEGORY':['BUILDING','BUILDING'],
'HAZUS_USAGE':['RES1','COM8'],
'SUBURB':['MEREWETHER','MEREWETHER'],
'POSTCODE':[2291,2291],
'PRE1989':[0,1],
'HAZUS_STRUCTURE_CLASSIFICATION':['W1','URML'],
'CONTENTS_COST_DENSITY':[300,10000],
'BUILDING_COST_DENSITY':[600,1000],
'FLOOR_AREA':[150,300],
'SURVEY_FACTOR':[1,9.8],
'FCB_USAGE':[111,451],
'SITE_CLASS':['A','B'],
'CD_CODE':['A','B']
}
dict2csv(file_name, title_index_dic, attribute_dic)
return file_name, attribute_dic
def write_test_file(file_name, attribute_dic=None):
title_index_dic = {
'BID': 0,
'LATITUDE': 1,
'LONGITUDE': 2,
'STRUCTURE_CLASSIFICATION': 3,
'STRUCTURE_CATEGORY': 4,
'HAZUS_USAGE': 5,
'SUBURB': 6,
'POSTCODE': 7,
'PRE1989': 8,
'HAZUS_STRUCTURE_CLASSIFICATION': 9,
'CONTENTS_COST_DENSITY': 10,
'BUILDING_COST_DENSITY': 11,
'FLOOR_AREA': 12,
'SURVEY_FACTOR': 13,
'FCB_USAGE': 14,
'SITE_CLASS': 15
}
if attribute_dic is None:
attribute_dic = {
'BID': [1, 2, 3],
'LATITUDE': [-32.9, -32.7, -33.],
'LONGITUDE': [151.7, 151.3, 151.],
'STRUCTURE_CLASSIFICATION': ['W1BVTILE', 'S3', 'S2'],
'STRUCTURE_CATEGORY': ['BUILDING', 'BUILDING', 'BUILDING'],
'HAZUS_USAGE': ['RES1', 'COM8', 'COM4'],
'SUBURB': ['MEREWETHER', 'MEREWETHER', 'HUGHES'],
'POSTCODE': [2291, 2291, 2289],
'PRE1989': [0, 1, 1],
'HAZUS_STRUCTURE_CLASSIFICATION': ['W1', 'URML', 'URML'],
'CONTENTS_COST_DENSITY': [300, 10000, 200],
'BUILDING_COST_DENSITY': [600, 1000, 700],
'FLOOR_AREA': [150, 300, 100],
'SURVEY_FACTOR': [1, 9.8, 2],
'FCB_USAGE': [111, 451, 121],
'SITE_CLASS': ['A', 'B', 'C']
}
dict2csv(file_name, title_index_dic, attribute_dic)
return file_name, attribute_dic
def write_test_file(file_name, attribute_dic=None):
title_index_dic = {
"BID": 0,
"LATITUDE": 1,
"LONGITUDE": 2,
"STRUCTURE_CLASSIFICATION": 3,
"STRUCTURE_CATEGORY": 4,
"HAZUS_USAGE": 5,
"SUBURB": 6,
"POSTCODE": 7,
"PRE1989": 8,
"HAZUS_STRUCTURE_CLASSIFICATION": 9,
"CONTENTS_COST_DENSITY": 10,
"BUILDING_COST_DENSITY": 11,
"FLOOR_AREA": 12,
"SURVEY_FACTOR": 13,
"FCB_USAGE": 14,
"SITE_CLASS": 15,
}
if attribute_dic is None:
attribute_dic = {
"BID": [1, 2],
"LATITUDE": [-32.9, 32.7],
"LONGITUDE": [151.7, 151.3],
"STRUCTURE_CLASSIFICATION": ["W1BVTILE", "S3"],
"STRUCTURE_CATEGORY": ["BUILDING", "BUILDING"],
"HAZUS_USAGE": ["RES1", "COM8"],
"SUBURB": ["MEREWETHER", "MEREWETHER"],
"POSTCODE": [2291, 2291],
"PRE1989": [0, 1],
"HAZUS_STRUCTURE_CLASSIFICATION": ["W1", "URML"],
"CONTENTS_COST_DENSITY": [300, 10000],
"BUILDING_COST_DENSITY": [600, 1000],
"FLOOR_AREA": [150, 300],
"SURVEY_FACTOR": [1, 9.8],
"FCB_USAGE": [111, 451],
"SITE_CLASS": ["A", "B"],
}
dict2csv(file_name, title_index_dic, attribute_dic)
return file_name, attribute_dic
