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I've tried to using this code:
def tw_list(text):
tw_list['text'] = tw_list['text'].str.lower()
print('Case Folding Result : \n')
print(tw_list['text'].head(5))
print('\n\n\n')
But when I run it, I get the error:
Case Folding Result :
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-27-c3ee7c744c13> in <module>
6
7 print('Case Folding Result : \n')
----> 8 print(tw_list['texts'].head(5))
9 print('\n\n\n')
TypeError: 'function' object is not subscriptable
i dont know why, can someone help me?
tw_list is the name of your function.
You are trying to access the function as a dict.So it throws error
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def get_hidden_card(credit_number, star_count=4):
short_credit_number = str(credit_number[12:16])
return str('*' * star_count + short_credit_number)
print(get_hidden_card(2034399002125581))
As i understand python don't wanna work because he think that str(credit_number[12:16]) is int type, how can i fix it?
The error is:
Traceback (most recent call last):
File "C:\Users\Ivan\PycharmProjects\pythonProject\main.py", line 10, in <module>
print(get_hidden_card(2034399002125581))
File "C:\Users\Ivan\PycharmProjects\pythonProject\main.py", line 4, in get_hidden_card
short_credit_number = str(credit_number[12:16])
TypeError: 'int' object is not subscriptable
Process finished with exit code 1
This is must solve your issue
def get_hidden_card(credit_number, star_count=4):
short_credit_number = str(credit_number)[12:16]
return str('*' * star_count + short_credit_number)
print(get_hidden_card(2034399002125581))
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Closed 2 years ago.
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I am trying to implement this fairly straightforward function as a CUDA kernel using Numba:
#nb.njit(parallel=True)
def sum_pixel_signals_cpu(pixels_signals, signals, index_map):
for it in nb.prange(signals.shape[0]):
for ipix in nb.prange(signals.shape[1]):
index = index_map[it][ipix]
start_tick = track_starts[it] // consts.t_sampling
for itick in nb.prange(signals.shape[2]):
itime = int(start_tick+itick)
pixels_signals[index, itime] += signals[it][ipix][itick]
This function works fine and the result is what I expect. I tried to implement it a CUDA-equivalent version with this piece of code:
#cuda.jit
def sum_pixel_signals(pixels_signals, signals, index_map):
it, ipix, itick = cuda.grid(3)
if it < signals.shape[0] and ipix < signals.shape[1]:
index = index_map[it][ipix]
start_tick = track_starts[it] // consts.t_sampling
if itick < signals.shape[2]:
itime = int(start_tick+itick)
cuda.atomic.add(pixels_signals, (index, itime), signals[it][ipix][itick])
Unfortunately, when I call the kernel, I get this not very helpful error message:
ERROR:numba.cuda.cudadrv.driver:Call to cuMemcpyDtoH results in UNKNOWN_CUDA_ERROR
---------------------------------------------------------------------------
CudaAPIError Traceback (most recent call last)
<ipython-input-14-3786491325e7> in <module>
----> 1 sum_pixel_signals[threadsperblock,blockspergrid](pixels_signals, d_signals, pixel_index_map)
I don't understand what I am doing wrong. Is there a way to at least debug this kind of error messages?
The problem was caused by the grid arguments written backwards... The correct way:
sum_pixel_signals[blockspergrid,threadsperblock](pixels_signals, d_signals, pixel_index_map)
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I'm studying 'inheritance' in Pycharm.
I just followed tutorial. And it doesn't work. What's the problem
##Chef.py##
class Chef:
def make_chicken(self):
print("The chef makes a chicken")
def make_salad(self):
print("The chef makes a salad")
def make_special_dish(self):
print("The chef makes bbq ribs")
##another.py##
from Chef import Chef
class another(Chef):
##app.py##
from another import another
a = another()
a.make_salad()
run>>>
error message :
Traceback (most recent call last):
File "C:/Users/NEWS1/PycharmProjects/exc/app.py", line 1, in <module>
from another import another
File "C:\Users\NEWS1\PycharmProjects\exc\another.py", line 9
^
SyntaxError: unexpected EOF while parsing
Process finished with exit code 1
What is the problem....
The issue is in your 'another' class, there's nothing following the colon. You can either add methods to the class or just a 'pass' like so
##another.py##
from Chef import Chef
class another(Chef):
# other content
pass
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I'm new in python and I'm trying to add an attribute to a maya light shape. The script should works like that: for each light.shape I've selected add a 'mtoa_constant_lightGroup' attribute:
import maya.cmds as pm
lightSelect= pm.ls (sl=True, dag=True, leaf=True)
for elem in lightSelect:
pm.addAttr (elem, ln='mtoa_constant_lightGroup', at=long, dv=0)
pm.setAttr (e=True, keyable=True, elem +'.mtoa_constant_lightGroup')
But when I run the script I've got this error:
Error: line 1: non-keyword arg after keyword arg
Any suggestions please.
In the following line from your code you have a positional argument after a keyword argument, which does not make sense.
pm.setAttr (e=True, keyable=True, elem +'.mtoa_constant_lightGroup')
# ---- here ----------------------^
fix it!
so as Martin said I had to move the keyword arguments to the end
then for the error " # Error: line 1: RuntimeError: file line 6: Type specified for new attribute is unknown." I needed to set at=long as a string, e.g.
`pm.addAttr (elem, ln='mtoa_constant_lightGroup', at="long", dv=0)`
The final scripts is this:
import maya.cmds as pm
lightSelect= pm.ls (sl=True, dag=True, leaf=True)
for elem in lightSelect:
pm.addAttr (elem, ln='mtoa_constant_lightGroup', at="long", dv=0)
pm.setAttr(elem +'.mtoa_constant_lightGroup', e=True, keyable=True)
thanks for all your helps
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def add_to_receivers(receivers): # make sure they are unique
for receiver in receivers:
name, email = receiver
if email not in [u'', None]: # empty receiver pairs are possible
#print email
if email not in msg_receivers and email is not None:
msg_receivers.append(email.lower())
msg_receivers = []
add_to_receives(msg_to)
add_to_receives(msg_cc)
add_to_receives(msg_bcc) # in essence, we don’t care how the message was received
#add_to_receives(msg_delivered_to)
please help me with fixing this error
Traceback (most recent call last):
File "metadata.py", line 309, in worker
add_to_receives(msg_to)
NameError: global name 'add_to_receives' is not defined
full code you can see at http://brage.bibsys.no/xmlui/handle/11250/198551
I think the problem is that the function is called add_to_receiversand you are calling add_to_receives (without the 'r')