def testCounts(self):
msg = sidewalk
r, t = main.decode(msg, dictfile)
l = [("there", 4), ("sidewalk", 1), ("and", 5), ("wind", 1),
("the", 6)]
for w, c in l:
self.assertEqual(t.count(w), c)
def testRand_DurationHMM():
'''
test with audio features from real recording, but some random models_makam, not trained models_makam
TODO: this might not work. rewrite
'''
durGMMhmm, d = makeTestDurationHMM()
durGMMhmm.setALPHA(0.97)
listDurations = [70, 30, 20, 10, 20]
durGMMhmm.setDurForStates(listDurations)
observationFeatures = numpy.array((0.6 * numpy.random.random_sample(
(2, d)) - 0.3),
dtype=numpy.double)
# observationFeatures = loadMFCCs(URIrecordingNoExt)
decode(lyricsWithModels, observationFeatures, 'testRecording')
def for_decode():
errors = []
if 'image' not in request.files:
errors.append('no image')
if 'key' not in request.form:
errors.append('no key')
if len(errors) > 0:
return jsonify({'status': 400, 'errors': errors}), 400
img_data = np.array(Image.open(request.files['image']).convert('RGBA'))
return jsonify({
'status': 200,
'data': decode(img_data, request.form['key'])
})
def api():
print('in')
postData = request.json
imgData = postData['imgData']
#print(imgData)
dbs = {}
label, lblname = predict(decode(imgData))
print(lblname)
df = pd.read_csv('final.csv', index_col=0)
indexValues = df.columns.values
data = df.loc[label]
dbNames = list(set(indexValues) - set(['label', 'name']))
for dbName in dbNames:
db = {}
ref = pd.read_csv('database-new/' + dbName + '.csv')
reqId = data[dbName]
reqData = ref.loc[ref['id'] == reqId]
#print(reqData)
for column in reqData:
if not column == 'image':
value = reqData[column].tolist()
if not value == []:
value = value[0]
#print(type(value))
if isinstance(value, long):
value = str(value).strip('L')
#print(column, value)
db[column] = value
if not db == {}:
dbs[dbName] = db
print(dbs)
return Response(response=json.dumps(dbs),
status=200,
mimetype="application/json")
def testLongSingleShift(self):
msg = hamlet_encoded
res = hamlet
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def testShortMultiShift(self):
msg = cat_encoded
res = cat
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def testShortSingleShift(self):
msg = sidewalk_encoded
res = sidewalk
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def testLongMultiShift(self):
msg = v_entries_encoded
res = v_entries
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def testLongSingleShift(self):
msg = hamlet_encoded
res = hamlet
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def test(self):
self.assertEqual(decode([20, 12, 18, 30, 21], 1939), "scout")
self.assertEqual(
decode([14, 10, 22, 29, 6, 27, 19, 18, 6, 12, 8], 1939),
"masterpiece")
def test_decoding(self):
assert "WeebLinux" == main.decode("JrroYvahk")
def OnButtonClick(self):
self.labelVariable.set(main.decode(self.entryVariable.get()))
import main
r = main.encode('some hello')
print(r)
print(main.decode(r))
r = main.encode('我数据库好地方')
print(r)
print(main.decode(r))
r = main.encode('142857')
print(r)
print(main.decode(r))
r = main.encode(r)
print(r)
print(main.decode(r))
code = main.encode('你好啊，123')
print(code)
imdata = main.to_imdata_pixels(code)
print(imdata)
print(main.decode(main.origin_imdata_pixels(imdata)))
def test_decode(self):
self.assertEqual(decode(sourcecode), ["oeko", "tek", "hel", "hum", "laer", "kun"])
def testLongMultiShift(self):
msg = v_entries_encoded
res = v_entries
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def testCounts(self):
msg = sidewalk
r, t = main.decode(msg, dictfile)
l = [("there",4),("sidewalk",1),("and",5),("wind",1),("the",6)]
for w,c in l:
self.assertEqual(t.count(w), c)
def testShortSingleShift(self):
msg = sidewalk_encoded
res = sidewalk
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
def test(self):
self.assertEqual(main.decode([[4, 1], 2, [2, 3], [2, 1], 4, [4, 5]]),
[1, 1, 1, 1, 2, 3, 3, 1, 1, 4, 5, 5, 5, 5])
def testShortMultiShift(self):
msg = cat_encoded
res = cat
r, t = main.decode(msg, dictfile)
self.assertEqual(r, res)
