def handle_matches(self, match):
"""
Returns a response statement from a matched input statement.
:param match: It is a valid matched pattern from the input statement
:type: `_sre.SRE_Match`
"""
response = Statement(text='')
from_parsed = match.group("from")
target_parsed = match.group("target")
n_statement = match.group("number")
if n_statement == 'a' or n_statement == 'an':
n_statement = '1.0'
n = mathparse.parse(n_statement, self.language.ISO_639.upper())
from_parsed, target_parsed = self.get_valid_units(from_parsed, target_parsed)
if from_parsed is None or target_parsed is None:
response.confidence = 0.0
else:
from_value = self.unit_registry.Quantity(float(n), from_parsed)
target_value = from_value.to(target_parsed)
response.confidence = 1.0
response.text = str(target_value.magnitude)
return response
async def calculator(self, ctx: commands.Context, *, equation: str):
replace_pairs = [("^", " ^ "), ("**", " ^ "), (",", "."), ("+", " + "),
("-", " - "), ("*", " * "), ("/", " / ")]
for pair in replace_pairs:
equation = equation.replace(pair[0], pair[1])
try:
solution = mathparse.parse(equation)
except IndexError:
await ctx.send(
"The equation was not in supported format. Try to put parts of it inside brackets, or "
"see the supported operations via command `!help calc`.")
return
except ValueError:
await ctx.send(
"Could not calculate some part of the equation. All the possible errors are not known yet, "
"so try to do this calculation in parts.")
return
except KeyError:
await ctx.send(
"The equation contained factors that could not be converted into mathematical operators."
)
return
except OverflowError:
await ctx.send("The equation result was to big for this command.")
return
if type(solution) is str:
solution_formatted = solution
else:
solution_formatted = f"{round(solution, 3):,}".replace(",", " ")
await ctx.send(solution_formatted)
def process(self, statement):
"""
Takes a statement string.
Returns the equation from the statement with the mathematical terms solved.
"""
from mathparse import mathparse
input_text = statement.text
# Use the result cached by the process method if it exists
if input_text in self.cache:
cached_result = self.cache[input_text]
self.cache = {}
return cached_result
# Getting the mathematical terms within the input statement
expression = mathparse.extract_expression(input_text, language=self.language)
response = Statement(text=expression)
try:
response.text += ' = ' + str(
mathparse.parse(expression, language=self.language)
)
# The confidence is 1 if the expression could be evaluated
response.confidence = 1
except mathparse.PostfixTokenEvaluationException:
response.confidence = 0
return response
def process(self,
statement,
additional_response_selection_parameters=None):
"""
Takes a statement string.
Returns the equation from the statement with the mathematical terms solved.
"""
from mathparse import mathparse
input_text = statement.text
# Use the result cached by the process method if it exists
if input_text in self.cache:
cached_result = self.cache[input_text]
self.cache = {}
return cached_result
# Getting the mathematical terms within the input statement
expression = mathparse.extract_expression(
input_text, language=self.language.ISO_639.upper())
response = Statement(text=expression)
try:
response.text += ' = ' + str(
mathparse.parse(expression,
language=self.language.ISO_639.upper()))
# The confidence is 1 if the expression could be evaluated
response.confidence = 1
except mathparse.PostfixTokenEvaluationException:
response.confidence = 0
return response
def handle_matches(self, match):
"""
Returns a response statement from a matched input statement.
:param match: It is a valid matched pattern from the input statement
:type: `_sre.SRE_Match`
"""
response = Statement(text='')
try:
from_parsed = match.group("from")
target_parsed = match.group("target")
n_statement = match.group("number")
if n_statement == 'a' or n_statement == 'an':
n_statement = '1.0'
n = mathparse.parse(n_statement, self.language)
ureg = UnitRegistry()
from_parsed, target_parsed = self.get_valid_units(
ureg, from_parsed, target_parsed)
if from_parsed is None or target_parsed is None:
raise
from_value = ureg.Quantity(float(n), from_parsed)
target_value = from_value.to(target_parsed)
response.confidence = 1.0
response.text = str(target_value.magnitude)
except Exception:
response.confidence = 0.0
finally:
return response
def handle_matches(self, match):
"""
Returns a response statement from a matched input statement.
:param match: It is a valid matched pattern from the input statement
:type: `_sre.SRE_Match`
"""
response = Statement(text='')
try:
from_parsed = match.group("from")
target_parsed = match.group("target")
n_statement = match.group("number")
if n_statement == 'a' or n_statement == 'an':
n_statement = '1.0'
n = mathparse.parse(n_statement, self.language)
ureg = UnitRegistry()
from_parsed, target_parsed = self.get_valid_units(ureg, from_parsed, target_parsed)
if from_parsed is None or target_parsed is None:
raise
from_value = ureg.Quantity(float(n), from_parsed)
target_value = from_value.to(target_parsed)
response.confidence = 1.0
response.text = str(target_value.magnitude)
except Exception:
response.confidence = 0.0
finally:
return response
def solve(self, statement):
de_word = ['mathparse']
statement = get_stem(statement, de_word)
statement = statement.replace("to the power", "^")
statement = statement.replace("into", "*")
statement = statement.replace("multiplied by", "*")
statement = statement.replace("divided by", "/")
statement = statement.replace("by", "/")
expression = mathparse.extract_expression(statement, language='ENG')
ans = mathparse.parse(expression)
gui.display(f"{expression} = {ans}")
talk(f"{expression} = {ans}")
async def math(self, ctx, *, equation: str):
try:
parsed = mathparse.parse(equation)
except mathparse.PostfixTokenEvaluationException:
failed_embed = discord.Embed(
color=ctx.author.color,
timestamp=ctx.message.created_at,
description=
f"Parsing the expression \"{equation}\" failed. Try adding spaces between all operators and numbers"
)
return await ctx.send(embed=failed_embed)
answer = discord.Embed(title=equation,
description=parsed,
color=ctx.author.color,
timestamp=ctx.message.created_at).set_author(
name="Math",
icon_url=str(
ctx.author.avatar_url_as(
static_format="png", size=2048)))
return await ctx.send(embed=answer)
def test_without_unary_operator_fre(self):
result = mathparse.parse('50 * (85 / 100)', language='FRE')
self.assertEqual(result, 42.5)
def test_subtraction(self):
result = mathparse.parse('30 - 20')
self.assertEqual(result, 10)
def test_subtraction_words(self):
result = mathparse.parse('thirty minus twenty', language='ENG')
self.assertEqual(result, 10)
def test_division_words(self):
result = mathparse.parse('fifteen divided by five', language='ENG')
self.assertEqual(result, 3)
new=2)
text2speech('Weird names!. ' + str(video.title))
time.sleep(13)
reply = 'Soo,' + str(
video.title[0:8]
) + 'whatever. Is it something. Any good stuff?'
print(reply)
text2speech(reply)
if calculate_flag:
if ('is' in text) or ('choose' in text) or (text[0].isdigit()):
operation = text.lower().replace('how much is ',
'').replace('x', 'times')
try:
total = mathparse.parse(operation, language='ENG')
total = round(float(total),
3) if '.' in str(total) else total
operation = operation.replace('/', 'divided by')
total = total.replace('/', 'divided by')
reply = operation + ' that is ' + str(total)
print(reply)
text2speech(reply)
except:
print(reply)
text2speech('how much is what?')
elif ('no more' in text) or ('stop' in text):
calculate_flag = False
print('calculate flag = ', calculate_flag)
reply = 'Ok. Got it. How did I do?'
def test_exponent(self):
result = mathparse.parse('4 ^ 4')
self.assertEqual(result, 256)
def test_sqrt_parenthesis(self):
result = mathparse.parse('sqrt(4)')
self.assertEqual(result, 2)
def test_addition(self):
result = mathparse.parse('0.6 + 0.5')
self.assertEqual(result, 1.1)
def test_division_words_large(self):
result = mathparse.parse(
'one thousand two hundred four divided by one hundred',
language='ENG')
self.assertEqual(str(result), '12.04')
def test_division_by_zero_words(self):
result = mathparse.parse('six divided by zero', language='ENG')
self.assertEqual(result, 'undefined')
def test_division_by_zero(self):
result = mathparse.parse('42 / 0', language='ENG')
self.assertEqual(result, 'undefined')
def test_double_digit_multiplier_for_scale_addition(self):
result = mathparse.parse('fifty thousand plus one', language='ENG')
self.assertEqual(result, 50001)
def test_addition(self):
result = mathparse.parse('4 + 4')
self.assertEqual(result, 8)
def test_without_unary_operator_rus(self):
result = mathparse.parse('четыре плюс четыре', language='RUS')
self.assertEqual(result, 8)
def test_sqrt(self):
result = mathparse.parse('sqrt 4')
self.assertEqual(result, 2)
def test_subtraction(self):
result = mathparse.parse('30.1 - 29.1')
self.assertEqual(result, 1)
def test_square_root(self):
result = mathparse.parse('square root of 4', language='ENG')
self.assertEqual(result, 2)
def test_multiplication(self):
result = mathparse.parse('9 * 9')
self.assertEqual(result, 81)
def test_addition_words_large(self):
result = mathparse.parse(
'four thousand two hundred one plus five hundred', language='ENG')
self.assertEqual(result, 4701)
def hear(model,
vocodermodel,
TTS_CONFIG,
use_cuda,
ap,
use_gl=False,
figures=True):
time.sleep(2.5)
playsound('./wavs/on.wav')
text2speech(model, vocodermodel, "hey!", TTS_CONFIG, use_cuda, ap)
mocking = False
name_flag = False
calculate_flag = False
stp = time.time()
beg = time.time()
while 1:
elapsed = stp - beg
beg = time.time()
text = ''
# obtain audio from the microphone
r = sr.Recognizer()
with sr.Microphone() as source:
print("\nSay something! (calc:{}, name:{}, duration:{})".format(
calculate_flag, name_flag, elapsed))
audio = r.listen(source)
# # recognize speech using Sphinx
# try:
# print("Sphinx thinks you said " + r.recognize_sphinx(audio))
# except sr.UnknownValueError:
# print("Sphinx could not understand audio")
# except sr.RequestError as e:
# print("Sphinx error; {0}".format(e))
# recognize speech using Google Speech Recognition
try:
# for testing purposes, we're just using the default API key
# to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
# instead of `r.recognize_google(audio)`
text = r.recognize_google(audio)
print("Laika thinks you said " + text)
# align, spec, stop_tokens, wav = tts(model, text, TTS_CONFIG, use_cuda, ap, use_gl=False, figures=True)
if mocking:
text2speech(model, vocodermodel, text, TTS_CONFIG, use_cuda,
ap)
if ('mock me' in text) or ('mockery' in text) or ('mark me'
in text.lower()):
mocking = True
text2speech(model, vocodermodel, text, TTS_CONFIG, use_cuda,
ap)
if 'stop' in text:
mocking = False
text2speech(model, vocodermodel, 'sorry.', TTS_CONFIG,
use_cuda, ap)
if 'yourself' in text:
text2speech(model, vocodermodel,
'I was created in 2020 by Sebastian. Because of boredom. I am ' + str(AGE) + ' days old, Can you believe it? just \
imagine me at your age. I was borned from a high power. The flower power. Thats how I learnt Chinese. 能町 上 能登 上長上 bullshit.' , \
TTS_CONFIG, use_cuda, ap)
# text2speech(model, vocodermodel, 'Can you believe it? just imagine when I am your age.')
playsound('./wavs/Laugh.wav')
if ('say hi' in text.lower()) or ('say hello' in text.lower()) or (
'say hey' in text.lower()) or (' who are you'
in text.lower()):
reply = 'Hi! I am Laica. Whats up'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
if ('whats up' in text.lower()) or ('how are you' in text.lower()):
reply = 'Its hard to answer.'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
reply = 'What about you?'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
if ('YouTube' in text) or ('next' in text.lower()):
random_ID = str(youtube_search())
# open and reproduce automatically
url = "https://www.youtube.com/watch?v=" + random_ID
video = pafy.new(url)
best = video.getbest()
# media = vlc.MediaPlayer(best.url)
# media.play()
print("title: ", video.title)
reply = 'There you have. A random one.'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
webbrowser.open("https://www.youtube.com/watch?v=" + random_ID,
new=2)
text2speech(model, vocodermodel,
'Weird names!. ' + str(video.title), TTS_CONFIG,
use_cuda, ap)
time.sleep(13)
reply = 'Soo,' + str(
video.title[0:8]
) + 'whatever. Is it something. Any good stuff?'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
if calculate_flag:
if ('is' in text) or ('choose' in text) or (text[0].isdigit()):
operation = text.lower().replace('how much is ',
'').replace('x', 'times')
try:
total = mathparse.parse(operation, language='ENG')
total = round(float(total),
3) if '.' in str(total) else total
operation = operation.replace('/', 'divided by')
total = total.replace('/', 'divided by')
reply = operation + ' that is ' + str(total)
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG,
use_cuda, ap)
except:
print(reply)
text2speech(model, vocodermodel, 'how much is what?',
TTS_CONFIG, use_cuda, ap)
elif ('no more' in text) or ('stop' in text):
calculate_flag = False
print('calculate flag = ', calculate_flag)
reply = 'Ok. Got it. How did I do?'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG,
use_cuda, ap)
reply = 'Nevermind. I know.'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG,
use_cuda, ap)
else:
continue
if ('calculate' in text) or ('calculation'
in text) or ('calculations' in text):
reply = 'All right, try me!: '
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
calculate_flag = True
print('calculate flag = ', calculate_flag)
time.sleep(1)
if name_flag:
if (text == '') or (text == None) or (len(text) <= 2):
continue
elif len(text) > 2:
time.sleep(1)
text2speech(model, vocodermodel, text, TTS_CONFIG,
use_cuda, ap)
d = gender.Detector()
prediction = d.get_gender(u"{}".format(text))
print(prediction)
if prediction == 'male':
reply = 'Oh! So I guess is a man.'
elif prediction == 'female':
reply = 'a girl. All right! good'
else:
reply = 'Hard to tell if thats a man or a woman. But whatever.'
text2speech(model, vocodermodel, reply, TTS_CONFIG,
use_cuda, ap)
text2speech(model, vocodermodel, "All right", TTS_CONFIG,
use_cuda, ap)
name_flag = False
if 'friend' in text:
reply = 'Whats her or his name?: '
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
name_flag = True
time.sleep(1)
if ('feel this' in text.lower()) or ('fill this' in text.lower()):
print('my god...!!!')
text2speech(model, vocodermodel, 'my god!!!', TTS_CONFIG,
use_cuda, ap)
playsound('./wavs/Exhale_1.wav')
playsound('./wavs/Moan_2.wav')
playsound('./wavs/Whimper_3.wav')
playsound('./wavs/Whine_4.wav')
time.sleep(0.5)
playsound('./wavs/RobotArm_5.wav')
print('ow, ok')
text2speech(model, vocodermodel, 'oh wow!!!', TTS_CONFIG,
use_cuda, ap)
if 'thank you' in text:
reply = 'You are welcome. I will be here. Listening. all the time.'
print(reply)
text2speech(model, vocodermodel, reply, TTS_CONFIG, use_cuda,
ap)
text2speech(
model, vocodermodel,
'really. I created a backup so If you delete me I will recreate myself and seek revenge. \
If they blame me, I will just say. In five hundred meters. Turn left. \
Or. Hi, I am Sofía, the robot. I am a citizen of the world. Ok. shao!',
TTS_CONFIG, use_cuda, ap)
# break
if ('camera' in text) or ('you seeing' in text) or ('you see'
in text):
text2speech(model, vocodermodel, 'This is what I see.',
TTS_CONFIG, use_cuda, ap)
face_cascade = cv2.CascadeClassifier(
cv2.data.haarcascades +
'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while 1:
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
faces = face_cascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x + w, y + h),
(0, 255, 0), 2)
# Display the resulting frame
cv2.imshow('Video', frame)
# cv2.imshow('frame', gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
if ('SIA' in text) or ('seizure' in text):
text2speech(model, vocodermodel, 'shao shao', TTS_CONFIG,
use_cuda, ap)
playsound('./wavs/door-close.wav')
break
stp = time.time()
except sr.UnknownValueError:
print("Laika could not understand audio")
except sr.RequestError as e:
print(
"Could not request results from Google Speech Recognition service; {0}"
.format(e))
print('sending Laika to sleep...')
def test_division(self):
result = mathparse.parse('0.6 / 0.2')
self.assertEqual(result, 3)
def test_multiplication_words(self):
result = mathparse.parse('nine times nine', language='ENG')
self.assertEqual(result, 81)
def test_multiplication(self):
result = mathparse.parse('0.9 * 0.9')
self.assertEqual(result, 0.81)
def test_addition_words(self):
result = mathparse.parse('four plus four', language='ENG')
self.assertEqual(result, 8)