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(cv) pi#raspberrypi:~/Desktop $ python pntc6.py
Traceback (most recent call last):
File "pntc6.py", line 24, in <module>
knn = cv2.m1.KNearest_create()
AttributeError: 'module' object has no attribute 'm1'
i am trying to follow the tutorial http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_ml/py_knn/py_knn_opencv/py_knn_opencv.html and had this problem OpenCV 3.0.0-beta missing KNN?
i tried to replace KNearest with cv2.ml and cv2.ml but all i get is AttributeError: 'module' object has no attribute 'm1'
(i am using a raspberry pi and followed this tutorial to install open cv http://www.pyimagesearch.com/2015/10/26/how-to-install-opencv-3-on-raspbian-jessie/ subsequently i pip installed matplotlib)
I tried to replace KNearest with cv2.ml and cv2.ml but all i get is AttributeError: 'module' object has no attribute 'm1'
knn = cv2.m1.KNearest_create()
^
|__ this needs to be ml, not m1
But your code suggests you typed m1 (M and number 1), not ml (letters M and L, as in Machine Learning)
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Traceback (most recent call last): File "/home/Budget.py", line 11, in response = client.create_budget(parent="billingAccounts/"+billingAccountId, budget=budgets_v1.Budget(display_name=displayName, budget_filter=budgets_v1.Filter({"projects":str(budgetFilter)}), amount=budgets_v1.BudgetAmount(specified_amount=budgetAmount), threshold_rule=budgets_v1.ThreshholdRule(threshold_percent=thresholdPercent))) NameError: name 'client' is not defined
This is my response when I ran the py script
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I am trying to use kafka-python to stream csv data but while importing kafka, I'm getting below error. The funny thing is it was working last night and since morning its giving this error all of sudden.
NameError Traceback (most recent call last)
<ipython-input-13-c237685c7217> in <module>
----> 1 import kafka
~/TweetStream/kafka.py in <module>
29 "id": "interior-tolerance",
30 "metadata": {
---> 31 "scrolled": true
32 },`enter code here`
33 "outputs": [
NameError: name 'true' is not defined
Are you sure you don't have a file named kafka (or perhaps a class or def) that could be overriding the default kafka-python module? If so, I would change its name or -- well, just change the name or put it in a subdirectory, as it'll get quite confusing and error-prone otherwise.
It seems in your file you have a true on line 31 where it should be the python builtin True instead.
~/TweetStream/kafka.py in <module>
---> 31 "scrolled": true
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test.py
import telebot
import config
bot = telebot.Telebot(config.TOKEN)
#bot.message_handler(content_types=['text'])
def lalala(message):
bot.send_message(message.chat.id, message.text)
bot.polling(non_stop=True)
config.py
TOKEN='1030045171:AAFPptKPt0a7xcoev9ryIMb6jXEIck5QfOs'
gives error:
Traceback (most recent call last):
File "C:\Users\User\Desktop\telegram\test.py", line 4, in <module>
bot = telebot.Telebot(config.TOKEN)
AttributeError: module 'telebot' has no attribute 'Telebot'
You misspelled TeleBot
import telebot
bot = telebot.TeleBot("TOKEN")
From the docs
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I am new to tensorflow. Following is the program I was trying to run.
import numpy as np
import tensorflow as tf
with tf.Session() as sess:
x=tf.placeholder("float",[1,3])
relu_out=x
num_layers=2
for layer in range(num_layers):
w=tf.Variable(tf.random_normal([3,3]))
b=tf.Variable(tf.zeros([1,3]))
relu_out=tf.nn.relu(tf.matmul(relu_out,w)+b)
softmax_w=tf.Variable(tf.random_normal([3,3]))
softmax_b=tf.Variable(tf.zeros([1,3]))
logit=tf.matmul(relu_out,softmax_w)+softmax_b
softmax=tf.nn.softmax(logit)
answer=np.array([[0.0,1.0,0.0]])
labels=tf.placeholder("float",[1,3])
cross_entropy=tf.nn.softmax_cross_entropy_with_logits(relu_out,labels,name='xentropy')
optimizer=tf.train.GradientDescentOptimizer(0.1)
train_op=optimizer.minimize(cross_entropy)
sess.run(tf.initialize_all_vraiables())
for step in range(10):
sess.run(train_op,feed_dict={x:np.array([[1.0,2.0,3.0]]),labels:answer})
It is showing following error:
Traceback (most recent call last):
File "/home/nilay/gdrive/REU/summer_exp/tf_tut/tf_add_layers.py", line 20, in <module>
sess.run(tf.initialize_all_vraiables())
AttributeError: 'module' object has no attribute 'initialize_all_vraiables'
Please help me resolve it.
There's a typo in your code:
is tf.initialize_all_variables not tf.initialize_all_vraiables
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I have code, and I don't know how to solve problem. Code:
import dateutil.parser
import datetime
from novaclient.v2 import client as nova_client
from keystoneclient.auth.identity import v2
from keystoneclient import session
auth=v2.Password(auth_url="http://openstack2-prakt.in.linux.edu.lv:5000/v2.0",
username="***",
password="****",
tenant_name="********")
sess=session.Session(auth=auth)
nova=nova_client.Client(version="2", session=sess)
usage_list=nova.usage.get(tenant_id="**************",start='%Y-%m-%d', end='%Y-%m-%d')
for us in usage_list:
print us.total_vcpus_usage
After I execute code, there is next problem:
No handlers could be found for logger "keystoneclient.auth.identity.base"
Traceback (most recent call last):
File "/home/eleonora/PycharmProjects/untitled/nova test.py", line 32, in <module>
usage_list=nova.usage.get(tenant_id="c56f75091edc4480a204e5549ef11664",start='%Y-%m-%d', end='%Y-%m-%d')
File "/usr/local/lib/python2.7/dist-packages/novaclient/v2/usage.py", line 60, in get
(tenant_id, start.isoformat(), end.isoformat()),
AttributeError: 'str' object has no attribute 'isoformat'
'%Y-%m-%d' is not datetime object but string but you (or some other code) are trying to use it as datetime object.
The one of several answers is:
now=datetime.datetime.now()
later=now+datetime.timedelta(seconds=30)
usage_list=nova.usage.get(tenant_id="cb076df2-6855-4988-95c0-e3ea2aa4729c",start=now, end=later)