def get_inverse_dictionary(dataDict, field, srcdir):
"""
Create a dictionary with the values of field as the keys, and the name of
the tests as the results.
"""
invDict = {}
if field == 'name': invDict['name'] = []
for root in dataDict:
for exfile in dataDict[root]:
for test in dataDict[root][exfile]:
if test in testparse.buildkeys: continue
defroot = testparse.getDefaultOutputFileRoot(test)
name = nameSpace(defroot, os.path.relpath(root, srcdir))
if field == 'name':
invDict['name'].append(name)
continue
if field not in dataDict[root][exfile][test]: continue
values = dataDict[root][exfile][test][field]
for val in values.split():
if val in invDict:
invDict[val].append(name)
else:
invDict[val] = [name]
return invDict
def get_inverse_dictionary(dataDict,fields,srcdir):
"""
Create a dictionary with the values of field as the keys, and the name of
the tests as the results.
"""
invDict={}
# Comma-delimited lists denote union
for field in fields.replace('|',',').split(','):
if field not in invDict:
if field == 'name':
invDict[field]=[] # List for ease
else:
invDict[field]={}
for root in dataDict:
for exfile in dataDict[root]:
for test in dataDict[root][exfile]:
if test in testparse.buildkeys: continue
defroot = testparse.getDefaultOutputFileRoot(test)
fname=nameSpace(defroot,os.path.relpath(root,srcdir))
if field == 'name':
invDict['name'].append(fname)
continue
if field not in dataDict[root][exfile][test]: continue
values=dataDict[root][exfile][test][field]
if not field == 'args' and not field == 'diff_args':
for val in values.split():
if val in invDict[field]:
invDict[field][val].append(fname)
else:
invDict[field][val] = [fname]
else:
# Args are funky.
for varset in re.split('(^|\W)-(?=[a-zA-Z])',values):
val=get_value(varset)
if not val: continue
if val in invDict[field]:
invDict[field][val].append(fname)
else:
invDict[field][val] = [fname]
# remove duplicate entries (multiple test/file)
if not field == 'name':
for val in invDict[field]:
invDict[field][val]=list(set(invDict[field][val]))
return invDict