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NameError: name 'client' is not defined [closed]

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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

import kafka is giving "NameError: name 'true' is not defined" [closed]

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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

tensorflow attribute error initialize_all_variables [closed]

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Closed 6 years ago.
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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

Class name not defined when instantiating [closed]

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Closed 7 years ago.
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Learning Python, please go easy
I have removed all other methods defined in this class, here is the skeleton of whats left :
from random import randint
class CreditCardNumberGenerator:
def __init__(self):
print "Hello World"
pass
if __name__ == "__main__":
o = CreditCardNumberGenerator()
Error
Traceback (most recent call last):
File "del.py", line 3, in <module>
class CreditCardNumberGenerator:
File "del.py", line 11, in CreditCardNumberGenerator
o = CreditCardNumberGenerator()
NameError: name 'CreditCardNumberGenerator' is not defined
i have checked name, typecase and all possible SO thread, no help....can some one please advice??
I am pretty sure, its something very obvious which i am missing here!!! :\

if __name__ == "__main__":
o = CreditCardNumberGenerator()
is too much indented - make it aligned to the same column as class and it should be OK.

AttributeError: 'str' object has no attribute 'isoformat' [closed]

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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)