guys i am new in python and for some reason the word global not working for me
ex
def location():
global place
place = "Cape Town"
return
and when i am trying to print place
print(place)
i am facing that error
NameError Traceback (most recent call last)
<ipython-input-2-34a3a4594339> in <module>()
----> 1 print(place)
NameError: name 'place' is not defined
Related
I'm new in python and i'm getting this error while trying to run my code
KeyError Traceback (most recent call last)
<ipython-input-201-74e7a7ea82f3> in <module>
----> 1 SEARCH['profession']['call'].format('Jhon',23)
KeyError: '"sea'
This is my code, I am trying to use the format in a string that simulates a dictionary
SEARCH = {
'profession' : {"call":'{"sea:searchProfession":{"datasheet": {"name":{},"age": {}}}}'},
'id' : {"call":'{"sea:searchId":{"personId": {"id":{},"name": {},"age":"{}"}}}'},
}
SEARCH['profession']['call'].format('Jhon',23)
I know there are similar issues, but I have not found the solution
According to https://pytorch.org/docs/stable/mobile_optimizer.html (currently for 1.6.0)
Torch mobile supports torch.mobile_optimizer.optimize_for_mobile utility to run a list of optimization pass with modules in eval mode. The method takes the following parameters: a torch.jit.ScriptModule object, a blacklisting optimization set and a preserved method list
The page title and
torch.utils.mobile_optimizer.optimize_for_mobile(script_module, optimization_blacklist: Set[torch._C.MobileOptimizerType] = None)
at the end suggest it should be torch.utils.mobile_optimizer instead. However, neither work for me:
In [25]: module1 = torch.utils.mobile_optimizer.optimize_for_mobile(module)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-25-79e42fe53cdf> in <module>
----> 1 module1 = torch.utils.mobile_optimizer.optimize_for_mobile(module)
AttributeError: module 'torch.utils' has no attribute 'mobile_optimizer'
In [26]: module1 = torch.mobile_optimizer.optimize_for_mobile(module)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-26-469dd450df3d> in <module>
----> 1 module1 = torch.mobile_optimizer.optimize_for_mobile(module)
AttributeError: module 'torch' has no attribute 'mobile_optimizer'
In [27]: print(torch.__version__)
1.6.0
Am I missing anything? E.g. do I have to install some package other than torch itself?
import torch.utils.mobile_optimizer as mobile_optimizer
scripted_model = torch.jit.script(model, pt_inputs)
opt_model = mobile_optimizer.optimize_for_mobile(scripted_model)
torch.jit.save(opt_model, "model.pt")
It works for me
I have an ipython widget dropdown which includes NaN:
from ipywidgets import widgets
import numpy as np
widgets.Dropdown(description='Choose this:', options=[None, 'a', 'b', np.nan])
When I try to select NaN, I get the following error:
StopIteration Traceback (most recent call last)
...
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
...
ValueError: nan not in array
During handling of the above exception, another exception occurred:
TraitError Traceback (most recent call last)
...
TraitError: Invalid selection: value not found
I removed the Tracebacks because the bot is forcing me to add more details because my post is "mostly code".
At first I thought we can only have literals in the dropdown, but using objects generally works fine.
What is so peculiar about NaN?
I downloaded hnswlib package to my env but I am constantly getting an error about
AttributeError Traceback (most recent call last)
in
1 # Declaring index
----> 2 p = hnswlib.Index(space = 'cosine', dim = EMBEDDING_SIZE) # possible options are l2, cosine or ip
AttributeError: module 'hnswlib' has no attribute 'Index'
changing env didn't help
I have uploaded a large csv into python using the following code:
ddgqa = pd.read_table("/Users/xxxx/Documents/globalqa-pageurls-Report.csv", chunksize= 10**6, iterator=True)
I am now extract a column into a dataframe using this code:
for chunk in ddgqa:
links_adobe_ddgqa = pd.DataFrame(ddga['Page URL'])
When I try to links_adobe_ddgqa
I get the following error:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-95-1ab6eaf23d5f> in <module>()
----> 1 links_adobe_ddgqa
NameError: name 'links_adobe_ddgqa' is not defined
What am I missing? Is there a better way to accomplish this?