Ejemplo n.º 1
0
def categorize(items, prop_func):
    """
    :rtype : dict
    """
    getter = prop_func if callable(prop_func) else lambda x: rget(x, prop_func, None)
    result = { }
    for item in items:
        key = getter(item)
        if key in result:
            result[key].append(item)
        else:
            result[key] = [item]
    return result
Ejemplo n.º 2
0
def categorize(items, prop_func):
    """
    :rtype : dict
    """
    getter = prop_func if callable(
        prop_func) else lambda x: rget(x, prop_func, None)
    result = {}
    for item in items:
        key = getter(item)
        if key in result:
            result[key].append(item)
        else:
            result[key] = [item]
    return result
Ejemplo n.º 3
0

def export(results, props):
    result = 'name\t' + '\t'.join(pluck(results, 'name')) + '\n'
    for p in props:
        result +=  p + '\t' + '\t'.join(['%1.3f' % x for x in pluck(results, p)]) + '\n'
    return result

def remove_common_prefixes(items, paths):
    paths = list(paths) if type(paths) is not list else paths
    return [x for x in items if x['name'] not in paths]


# fetch data and categorize them by version and then by time-frame path
measurements = multi_cat(load_data(), [
    lambda x: rget(x, '_id.version', None),
    # lambda x: _get_short_name(rget(x, '_id.path', None)),
    lambda x: rget(x, '_id.path', None),
])

props = ['d1', 'd2', 'cl']
version_combination = list(get_version_combination(measurements.keys(), history=2))
slow_down_factors = slow_down_factor(measurements, version_combination, props, top=10, limit=10)

clipboard_result = ''
for va, vb, vab in version_combination:
    calc_output = export(slow_down_factors[vab], props)
    print vab
    print calc_output
    clipboard_result += calc_output