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pandas and numpy: TypeError: cannot unpack non-iterable int object

Please help me solve this, I tried many solution but it doesn't work. In the Jupyter Notebook the Output I want are getting display but in Streamlit its getting error. I am newbie practicing ML.
`
df = pd.read_csv("book1.csv")
corrMatrix = df.corr(method='pearson')
corrMatrix.head(17)
def get_similar(question, rating):
similar_ratings = corrMatrix[question] * (rating - 2.5)
similar_ratings = similar_ratings.sort_values(ascending=False)
return similar_ratings
ratings = [(q1), (q2), (q3), (q4), (q5), (q6), (q7), (q8), (q9), (q10),
(q11), (q12), (q13), (q14), (q15), (q16), (q17)]
similar = pd.DataFrame()
for question, rating in ratings:
similar.append(get_similar(question, rating), ignore_index=True)
similar.head(10)
similars = similar.sum().sort_values(ascending=False).head(3)
df1 = pd.DataFrame(similar)
st.write(df1)`
This is the Error I get.
Traceback (most recent call last):
File "c:\users\admin\desktop\thesissys\venv\lib\site-
packages\streamlit\scriptrunner\script_runner.py", line 554, in _run_script
exec(code, module.__dict__)
File "C:\Users\admin\Desktop\ThesisSys\venv\app.py", line 71, in <module>
show_predict()
File "C:\Users\admin\Desktop\ML\venv\predict_page.py", line 386, in show_predict
for question, rating in ratings:
TypeError: cannot unpack non-iterable int object

AssertionError after trying to convert .sbml file to ode using sbmltoodepy

I am trying to run a simple example using sbmltoodepy and I am receiving the following error.
Traceback (most recent call last):
File "C:\Users\AppData\Roaming\JetBrains\PyCharm2021.2\scratches\scratch_79.py", line 8, in
ParseAndCreateModel(inputFilePath)#, jsonFilePath=None, outputFilePath=None)#, className="SBMLmodel")
File "C:\Users\AppData\Roaming\Python\Python39\site-packages\sbmltoodepy\utilities.py", line 66, in ParseAndCreateModel
modelData = ParseSBMLFile(inputFilePath)
File "C:\Users\AppData\Roaming\Python\Python39\site-packages\sbmltoodepy\parse.py", line 284, in ParseSBMLFile
assert(doc.getNumErrors() == 0)
AssertionError
Here is the code that I used.
import sbmltoodepy
from sbmltoodepy import ParseAndCreateModel
inputFilePath = "E:/Borisov2009_insulin_EGF.xml"
ParseAndCreateModel(inputFilePath, jsonFilePath=None, outputFilePath=None, className="SBMLmodel")
model = sbmltoodepy.SBMLmodel()
model.RunSimulation(1, absoluteTolerance = 1e-12, relativeTolerance = 1e-6)
Thank you in advance for your time.

A.t().mm(self.linear4.weight.t()) ->error: out of range at THTensor.cpp

While running the AutoEncoder model in PyTorch, I found a strange error.
My code:
model = AutoEncoder(num_items, args.inner_layers, num_items, da=args.num_attention, dropout_rate=args.dropout_rate)
item_vector = self.linear1.weight[:, T.LongTensor(batch_item_index[0].astype(np.int32))]
inner_product = item_vector.t().mm(self.linear4.weight.t())
I tried to make the index start from 0 after seeing the explanation that the cause of the batch index was -1 among little similar problems(https://github.com/jwyang/faster-rcnn.pytorch/issues/311), but it did not work.
This is the first time I haven't had a similar question on Stack Overflow, what am I doing wrong?
Traceback (most recent call last):
File "run.py", line 155, in <module>
main()
File "run.py", line 151, in main
train_autoencoder(train_matrix, test_set)
File "run.py", line 86, in train_autoencoder
y_pred = model(batch_item_index, place_correlation)
File "C:\Users\user\anaconda3\envs\saenad\lib\site-packages\torch\nn\modules\module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "C:\Users\user\saenad\model.py", line 58, in forward
inner_product = item_vector.t().mm(self.linear4.weight.t())
RuntimeError: invalid argument 1: out of range at c:\programdata\miniconda3\conda-bld\pytorch_1524543037166\work\aten\src\th\generic/THTensor.cpp:454**

I found the item_vector is empty tensor([[]])!
So I added the code to handle an exception if item_vector.Size is 0 with below code.
if item_vector.shape == torch.Size([0]):
continue
<-- it works.
Hope this helps someone with the same error.:)

Wolfram Alpha Application Programming Interface Not Working

code:-
import wolframalpha
wolframappid = wolframalpha.Client("XXXXXX-XXXXXXXXXX")
res = wolframappid.query('temperature in mumbai')
answer = next(res.results).text
print(answer)
result:-
Traceback (most recent call last):
File "c:/Users/Harsh/Desktop/Harsh Python Projects/Test.py", line 5, in <module>
answer = next(res.results).text
File "C:\Users\Harsh\AppData\Roaming\Python\Python36\site-packages\wolframalpha\__init__.py", line 166, in text
return next(iter(self.subpod)).plaintext
ValueError: dictionary update sequence element #0 has length 1; 2 is required
any ideas how to solve this issue? i have also tried next(res.results).plaintext but another error pops up..
code:-
import wolframalpha
wolframappid = wolframalpha.Client("XXXXXX-XXXXXXXXXX")
res = wolframappid.query('temperature in mumbai')
answer = next(res.results).plaintext
print(answer)
result:-
Traceback (most recent call last):
File "C:\Users\Harsh\AppData\Roaming\Python\Python36\site-packages\wolframalpha\__init__.py", line 86, in __getattr__
val = self[name] if name in self else self[attr_name]
KeyError: '#plaintext'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:/Users/Harsh/Desktop/Harsh Python Projects/Test.py", line 5, in <module>
answer = next(res.results).plaintext
File "C:\Users\Harsh\AppData\Roaming\Python\Python36\site-packages\wolframalpha\__init__.py", line 88, in __getattr__
raise AttributeError(name)
AttributeError: plaintext
thanks in advance...

boto dynamodb batch_get TypeError

I am getting
TypeError: unhashable type: 'list'
when I try to run the example from the boto documentation:
results = mytable.batch_get(keys=[{'username':'johndoe'},{'username':'jane'},{'username':'fred'},])
for res in results:
print res['username']
I don't see anything I could have done wrong, but obviously there is something.
Any suggestions?
edit, adding stacktrace:
Traceback (most recent call last):
File "testdynamolocal.py.bak", line 25, in <module>
for res in results:
File "/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site- packages/boto/dynamodb2/results.py", line 62, in __next__
self.fetch_more()
File "/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/boto/dynamodb2/results.py", line 183, in fetch_more
results = self.the_callable(*args, **kwargs)
File "/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/boto/dynamodb2/table.py", line 1337, in _batch_get
'Keys': [],
TypeError: unhashable type: 'list'

Turned out to be a mistake in getting 'mytable', posting here in case anyone else has a similar bad time:
I was doing this:
for table in tables.values():
mytable = Table(table, connection=conn)
results = mytable.batch_get(keys=[{'username':'johndoe'},{'username':'jane'},{'username':'fred'},])
...
But 'table' was getting a list instead of a string from tables.values(), so this works:
mytable = Table(table[0], connection=conn)
I am not thrilled with where the error was actually surfacing, but totally a problem I should have seen earlier.