NotImplementedError: Open utils.py and fill with your code. In case of Google Colab, download(https://github.com/hse-aml/natural-language-processing/blob/master/project/utils.py), edit locally and upload using '> arrow on the left edge' -> Files -> UPLOAD

[ayushmandloi2]

i have edited and uploaded the utils.py file.

[ZEMUSHKA]

Try running ! shred utils.py and re-upload your file! It looks like a caching bug in Google Colab.

[ZEMUSHKA]

And you also need to restart the kernel to import the new version of the file!

[ayushmandloi2]

issue not solved yet i tried what you told.

[ZEMUSHKA]

That means that you haven't implemented https://github.com/hse-aml/natural-language-processing/blob/master/project/utils.py#L54 and https://github.com/hse-aml/natural-language-processing/blob/master/project/utils.py#L70

[ayushmandloi2]

[ayushmandloi2]

this is my utils.py file i have implemented what is said

[ZEMUSHKA]

Then it's a Google Colab issue, try to run locally

[ablabedoui]

Please I don't understand this error can help me !!

[ayushmandloi2]

still the problem not solved i tried running it locally and getting same error what i got in google colab. What exactly we have to do with word_embeddings.tsv file because i don't have this file. Should we download it from some where or code will automatically download it.

[ayushmandloi2]

please explain me what we have to do in Part-2 Ranking question with embeddings?

[fahadshery]

having the same error on both colab and on the local docker container

[sushantdecode]

Same error. Do we have any solution for this?

[Wong-Vee-Kin]

Was stuck here for a while. Eventually i just copied the load_embeddings code into the cell.

[danielunifim55]

Anyone could solve that problem? I am stuck there right now

[libindavis]

I directly copy the function of load_embeddings and question_to_vec to the .ipynb to work around this issue.
I believe it is an Google Colab bug.

[Puru-Malhotra]

I directly copy the function of load_embeddings and question_to_vec to the .ipynb to work around this issue. I believe it is an Google Colab bug.

can you please drop the code snippet for load_embeddings and question_to_vec

[rthirumurugan2000]

I'm also facing the same problem,stuck in it for a while!

[nikhilrana015]

Facing the Same Issue. Anyone got any solution to it

[SanjanaNaidu]

NotImplementedError Traceback (most recent call last)

in () ----> 1 embeddings, embeddings_dim = load_embeddings('data/word_embeddings.tsv') /content/utils.py in load_embeddings(embeddings_path) 53 embeddings[word]=embedding 54 dim=len(line)-1 ---> 55 return embeddings,dim 56 57 def question_to_vec(question, embeddings, dim): NotImplementedError: Open utils.py and fill with your code. In case of Google Colab, download(https://github.com/hse-aml/natural-language-processing/blob/master/project/utils.py), edit locally and upload using '> arrow on the left edge' -> Files -> UPLOAD can someone solve this

[SanjanaNaidu]

ERROR:root:Internal Python error in the inspect module. Below is the traceback from this internal error.

File "", line unknown SyntaxError: invalid or missing encoding declaration for '/content/utils.py'

[SanjanaNaidu]

whats wrong with mine I followed all the steps but getting the above errors 😭😭😭😭😭😭😭😭😭

[nikhilrana015]

@SanjanaNaidu 1.> First try to restart the kernel. If it does not work then try the second way. 2.>when you update the script file and upload it in your project directory. Give the file another name like utils-2.py. delete the previous util.py file and rename the uploaded utils-2.py file as the same name utils.py.

[SanjanaNaidu]

thank you I will try

On Sat, 30 May 2020 at 00:26, Nikhil Rana notifications@github.com wrote:

@SanjanaNaidu https://github.com/SanjanaNaidu 1.> First try to restart the kernel. If it does not work then try the second way. 2.>when you update the script file and upload it in your project directory. Give the file another name like utils-2.py. delete the previous util.py file and rename the uploaded utils-2.py file as the same name utils.py.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/hse-aml/natural-language-processing/issues/27#issuecomment-636133415, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIFN3QTZCCRY76DXNPA22BLRUAAMXANCNFSM4FZPFNSA .

[SanjanaNaidu]

NotImplementedError Traceback (most recent call last)

in () ----> 1 starspace_embeddings, embeddings_dim = load_embeddings('data/starspace_embedding.tsv') /content/utils.py in load_embeddings(embeddings_path) 53 dim=len(line)-1 54 return embeddings,dim ---> 55 56 def question_to_vec(question, embeddings, dim): 57 """Transforms a string to an embedding by averaging word embeddings.""" NotImplementedError: Open utils.py and fill with your code. In case of Google Colab, download(https://github.com/hse-aml/natural-language-processing/blob/master/project/utils.py), edit locally and upload using '> arrow on the left edge' -> Files -> UPLOAD On Sat, 30 May 2020 at 16:40, Sanjana Naidu Gedela wrote: > thank you I will try > > On Sat, 30 May 2020 at 00:26, Nikhil Rana > wrote: > > > @SanjanaNaidu > > 1.> First try to restart the kernel. If it does not work then try the > > second way. > > 2.>when you update the script file and upload it in your project > > directory. Give the file another name like utils-2.py. delete the > previous > > util.py file and rename the uploaded utils-2.py file as the same name > > utils.py. > > > > — > > You are receiving this because you were mentioned. > > Reply to this email directly, view it on GitHub > > < > https://github.com/hse-aml/natural-language-processing/issues/27#issuecomment-636133415 > >, > > or unsubscribe > > < > https://github.com/notifications/unsubscribe-auth/AIFN3QTZCCRY76DXNPA22BLRUAAMXANCNFSM4FZPFNSA > > > > . > > > > — > You are receiving this because you are subscribed to this thread. > Reply to this email directly, view it on GitHub > , > or unsubscribe > > . >

[SanjanaNaidu]

same error again and again plss help me out

On Mon, 1 Jun 2020 at 13:12, Sanjana Naidu sanjanavenkat1998@gmail.com wrote:

NotImplementedError Traceback (most recent call last)

in () ----> 1 starspace_embeddings, embeddings_dim = load_embeddings('data/starspace_embedding.tsv') /content/utils.py in load_embeddings(embeddings_path) 53 dim=len(line)-1 54 return embeddings,dim ---> 55 56 def question_to_vec(question, embeddings, dim): 57 """Transforms a string to an embedding by averaging word embeddings.""" NotImplementedError: Open utils.py and fill with your code. In case of Google Colab, download(https://github.com/hse-aml/natural-language-processing/blob/master/project/utils.py), edit locally and upload using '> arrow on the left edge' -> Files -> UPLOAD On Sat, 30 May 2020 at 16:40, Sanjana Naidu Gedela < notifications@github.com> wrote: > thank you I will try > > On Sat, 30 May 2020 at 00:26, Nikhil Rana > wrote: > > > @SanjanaNaidu > > 1.> First try to restart the kernel. If it does not work then try the > > second way. > > 2.>when you update the script file and upload it in your project > > directory. Give the file another name like utils-2.py. delete the > previous > > util.py file and rename the uploaded utils-2.py file as the same name > > utils.py. > > > > — > > You are receiving this because you were mentioned. > > Reply to this email directly, view it on GitHub > > < > https://github.com/hse-aml/natural-language-processing/issues/27#issuecomment-636133415 > >, > > or unsubscribe > > < > https://github.com/notifications/unsubscribe-auth/AIFN3QTZCCRY76DXNPA22BLRUAAMXANCNFSM4FZPFNSA > > > > . > > > > — > You are receiving this because you are subscribed to this thread. > Reply to this email directly, view it on GitHub > , > or unsubscribe > > . >

[MariBax]

There are two ways: 1) Short workaround: just directly copy functions _loadembeddings and _question_tovec to .ipynb. 2) Do the following steps:

• remove utils.py with !rm utils.py
• upload your file: click at [>] to open the left pane, choose file tab, click [upload] and choose your [utils.py]
• restart runtime: Runtime --> Restart runtime
• import: from utils import *

[superzerg]

Here is a way to not have to restart runtime: replace the cell from utils import text_prepare by:

from importlib import reload  
reload(sys.modules['utils'])
from utils import text_prepare

and rerun it. That's all !