Comments (4)
It means lark fails to parse self.grammar
Line 27 in 8c15f0d
I have encountered this error before and it was because my lark version was incorrect. Please check if your lark version is exactly 0.6.5 as in
Line 10 in 8c15f0d
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It means lark fails to parse
self.grammar
Line 27 in 8c15f0d
.
I have encountered this error before and it was because my lark version was incorrect. Please check if your lark version is exactly 0.6.5 as in
Line 10 in 8c15f0d
Thanks!
How do you install things from that file? (sorry if my workflow is different, might be nice to include this in your readme since you also have non standard things e.g. you don't have a setup.py
file or a project + packages hierarchy which is more common for python projects/repos e.g. like this https://packaging.python.org/tutorials/packaging-projects/ that's what I usually use but yours might be better!)
Usually, I have a install.sh
I simply run (which would be what yours has except it would also have my pip and conda commands).
Thanks for the quick replies!
from coqgym.
It means lark fails to parse
self.grammar
Line 27 in 8c15f0d
.
I have encountered this error before and it was because my lark version was incorrect. Please check if your lark version is exactly 0.6.5 as in
Line 10 in 8c15f0d
Thanks!
How do you install things from that file? (sorry if my workflow is different, might be nice to include this in your readme since you also have non standard things e.g. you don't have a
setup.py
file or a project + packages hierarchy which is more common for python projects/repos e.g. like this https://packaging.python.org/tutorials/packaging-projects/ that's what I usually use but yours might be better!)Usually, I have a
install.sh
I simply run (which would be what yours has except it would also have my pip and conda commands).Thanks for the quick replies!
this might be useful for yml installations:
You can use the conda env update command:
conda env update --name <your env name> -f <your file>.yml
or, if the environment you want to update is already activated, then
conda env update -f <your file>.yml
conda env update -f ~/CoqGym/coq_gym.yml
or
conda env create -f ~/CoqGym/coq_gym.yml
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In Sec 1.2 of README:
- Create and activate the conda environment: conda env create -f coq_gym.yml && conda activate coq_gym
For more information about conda environments: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
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Related Issues (20)
- Does the CoqGym data set contain the Coq Standard Library? HOT 4
- What is the train, val, test splits? HOT 1
- Code for bottom up tree traversal and parser for terms str to AST HOT 4
- How is the mapping of individual words (or symbols) to vectors is done HOT 3
- How to efficiently process a batch of terms in one go for Tree Neural Networks HOT 2
- Hidden states in TermEncoder accessed before initialized HOT 2
- discussion feature from github for CoqGym HOT 1
- Embeddings for tactics HOT 3
- CoqExn Error when starting next proof HOT 2
- line 6: unrecognized keyword ignored: db_pagesize HOT 1
- extract_steps doesn't work if you change location of the data HOT 3
- A little question about CoqGym HOT 3
- A bug in the dataset of CoqGym HOT 5
- Usage of pre-trained model HOT 1
- ASTactic/extract_proof_steps.py process killed after 17% HOT 5
- ASTactic/extract_proof_steps.py not working with --filter flag HOT 6
- Version of pytorch missing from `coq_gym.yml` HOT 1
- Documentation for how to reproduce benchmark HOT 1
- Testing fails with EOF on test folder HOT 5
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