Escape goes directly from vim input mode to jupyter command mode

Solution 🎉

Versions 0.15.0 and up do not have this issue. pip install --upgrade jupyterlab-vim

Workaround:

A persistent workaround to this issue is to add the following to the Shortcuts settings (Settings > Advanced Settings Editor > Keyboard Shortcuts)

{ "shortcuts": [
    { 
        "command": "notebook:enter-command-mode",
        "keys": [ "Shift Escape" ],
        "selector": ".jp-Notebook.jp-mod-editMode" 
    },
    {         "command":"notebook:enter-command-mode",
         "keys":[
            "Escape"
         ],
         "selector":".jp-Notebook.jp-mod-editMode",
         "disabled":true
    }]
}

as discovered from https://zhuanlan.zhihu.com/p/105642669 by @gofortargets.

---

And when I go back in the cell I go directly back to vim input mode. I have to focus another cell, to get vim command mode back.

Is it a problem, that I use two envs, one for jupyter-lab and one for the kernel?

The conda env for jupyter-lab

name: jupyter
channels:
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=1_gnu
  - anyio=2.2.0=py39hf3d152e_0
  - argon2-cffi=20.1.0=py39h3811e60_2
  - async_generator=1.10=py_0
  - attrs=20.3.0=pyhd3deb0d_0
  - babel=2.9.0=pyhd3deb0d_0
  - backcall=0.2.0=pyh9f0ad1d_0
  - backports=1.0=py_2
  - backports.functools_lru_cache=1.6.1=py_0
  - bleach=3.3.0=pyh44b312d_0
  - brotlipy=0.7.0=py39h3811e60_1001
  - ca-certificates=2020.12.5=ha878542_0
  - certifi=2020.12.5=py39hf3d152e_1
  - cffi=1.14.5=py39he32792d_0
  - chardet=4.0.0=py39hf3d152e_1
  - cryptography=3.4.6=py39hbca0aa6_0
  - cycler=0.10.0=py_2
  - decorator=4.4.2=py_0
  - defusedxml=0.7.1=pyhd8ed1ab_0
  - entrypoints=0.3=pyhd8ed1ab_1003
  - freetype=2.10.4=h0708190_1
  - idna=2.10=pyh9f0ad1d_0
  - importlib-metadata=3.7.3=py39hf3d152e_0
  - ipykernel=5.5.0=py39hef51801_1
  - ipympl=0.6.3=pyhd8ed1ab_0
  - ipython=7.21.0=py39hef51801_0
  - ipython_genutils=0.2.0=py_1
  - ipywidgets=7.6.3=pyhd3deb0d_0
  - jedi=0.18.0=py39hf3d152e_2
  - jinja2=2.11.3=pyh44b312d_0
  - jpeg=9d=h36c2ea0_0
  - json5=0.9.5=pyh9f0ad1d_0
  - jsonschema=3.2.0=pyhd8ed1ab_3
  - jupyter-packaging=0.7.12=pyhd8ed1ab_0
  - jupyter_client=6.1.12=pyhd8ed1ab_0
  - jupyter_core=4.7.1=py39hf3d152e_0
  - jupyter_server=1.4.1=py39hf3d152e_0
  - jupyterlab=3.0.12=pyhd8ed1ab_0
  - jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
  - jupyterlab_server=2.3.0=pyhd8ed1ab_0
  - jupyterlab_widgets=1.0.0=pyhd8ed1ab_1
  - kiwisolver=1.3.1=py39h1a9c180_1
  - lcms2=2.12=hddcbb42_0
  - ld_impl_linux-64=2.35.1=hea4e1c9_2
  - libblas=3.9.0=8_openblas
  - libcblas=3.9.0=8_openblas
  - libffi=3.3=h58526e2_2
  - libgcc-ng=9.3.0=h2828fa1_18
  - libgfortran-ng=9.3.0=hff62375_18
  - libgfortran5=9.3.0=hff62375_18
  - libgomp=9.3.0=h2828fa1_18
  - liblapack=3.9.0=8_openblas
  - libopenblas=0.3.12=pthreads_h4812303_1
  - libpng=1.6.37=h21135ba_2
  - libsodium=1.0.18=h36c2ea0_1
  - libstdcxx-ng=9.3.0=h6de172a_18
  - libtiff=4.2.0=hdc55705_0
  - libwebp-base=1.2.0=h7f98852_2
  - lz4-c=1.9.3=h9c3ff4c_0
  - markupsafe=1.1.1=py39h3811e60_3
  - matplotlib-base=3.3.4=py39h2fa2bec_0
  - mistune=0.8.4=py39h3811e60_1003
  - nbclassic=0.2.6=pyhd8ed1ab_0
  - nbclient=0.5.3=pyhd8ed1ab_0
  - nbconvert=6.0.7=py39hf3d152e_3
  - nbformat=5.1.2=pyhd8ed1ab_1
  - ncurses=6.2=h58526e2_4
  - nest-asyncio=1.4.3=pyhd8ed1ab_0
  - notebook=6.3.0=py39hf3d152e_0
  - numpy=1.20.1=py39hdbf815f_0
  - olefile=0.46=pyh9f0ad1d_1
  - openssl=1.1.1j=h7f98852_0
  - packaging=20.9=pyh44b312d_0
  - pandoc=2.12=h7f98852_0
  - pandocfilters=1.4.2=py_1
  - parso=0.8.1=pyhd8ed1ab_0
  - pexpect=4.8.0=pyh9f0ad1d_2
  - pickleshare=0.7.5=py_1003
  - pillow=8.1.2=py39hf95b381_0
  - pip=21.0.1=pyhd8ed1ab_0
  - prometheus_client=0.9.0=pyhd3deb0d_0
  - prompt-toolkit=3.0.17=pyha770c72_0
  - ptyprocess=0.7.0=pyhd3deb0d_0
  - pycparser=2.20=pyh9f0ad1d_2
  - pygments=2.8.1=pyhd8ed1ab_0
  - pyopenssl=20.0.1=pyhd8ed1ab_0
  - pyparsing=2.4.7=pyh9f0ad1d_0
  - pyrsistent=0.17.3=py39h3811e60_2
  - pysocks=1.7.1=py39hf3d152e_3
  - python=3.9.2=hffdb5ce_0_cpython
  - python-dateutil=2.8.1=py_0
  - python_abi=3.9=1_cp39
  - pytz=2021.1=pyhd8ed1ab_0
  - pyzmq=22.0.3=py39h37b5a0c_1
  - readline=8.0=he28a2e2_2
  - requests=2.25.1=pyhd3deb0d_0
  - send2trash=1.5.0=py_0
  - setuptools=49.6.0=py39hf3d152e_3
  - six=1.15.0=pyh9f0ad1d_0
  - sniffio=1.2.0=py39hf3d152e_1
  - sqlite=3.34.0=h74cdb3f_0
  - terminado=0.9.3=py39hf3d152e_0
  - testpath=0.4.4=py_0
  - tk=8.6.10=h21135ba_1
  - tornado=6.1=py39h3811e60_1
  - traitlets=5.0.5=py_0
  - tzdata=2021a=he74cb21_0
  - urllib3=1.26.4=pyhd8ed1ab_0
  - wcwidth=0.2.5=pyh9f0ad1d_2
  - webencodings=0.5.1=py_1
  - wheel=0.36.2=pyhd3deb0d_0
  - widgetsnbextension=3.5.1=py39hf3d152e_4
  - xz=5.2.5=h516909a_1
  - zeromq=4.3.4=h9c3ff4c_0
  - zipp=3.4.1=pyhd8ed1ab_0
  - zlib=1.2.11=h516909a_1010
  - zstd=1.4.9=ha95c52a_0
  - pip:
    - jupyterlab-vim==0.13.0

The conda env for the kernel

name: main
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - attrs=20.3.0=pyhd3eb1b0_0
  - backcall=0.2.0=pyhd3eb1b0_0
  - blas=1.0=mkl
  - ca-certificates=2021.1.19=h06a4308_1
  - certifi=2020.12.5=py38h06a4308_0
  - cycler=0.10.0=py38_0
  - dbus=1.13.18=hb2f20db_0
  - decorator=4.4.2=pyhd3eb1b0_0
  - expat=2.2.10=he6710b0_2
  - fontconfig=2.13.1=h6c09931_0
  - freetype=2.10.4=h5ab3b9f_0
  - glib=2.67.4=h36276a3_1
  - gmp=6.2.1=h2531618_2
  - gmpy2=2.0.8=py38hd5f6e3b_3
  - gst-plugins-base=1.14.0=h8213a91_2
  - gstreamer=1.14.0=h28cd5cc_2
  - icu=58.2=he6710b0_3
  - importlib-metadata=3.7.3=py38h06a4308_1
  - importlib_metadata=3.7.3=hd3eb1b0_1
  - intel-openmp=2020.2=254
  - ipykernel=5.3.4=py38h5ca1d4c_0
  - ipython=7.21.0=py38hb070fc8_0
  - ipython_genutils=0.2.0=pyhd3eb1b0_1
  - jedi=0.17.2=py38h06a4308_1
  - jpeg=9b=h024ee3a_2
  - jsonschema=3.2.0=py_2
  - jupyter_client=6.1.7=py_0
  - jupyter_core=4.7.1=py38h06a4308_0
  - kiwisolver=1.3.1=py38h2531618_0
  - lcms2=2.11=h396b838_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.2.0=h3942068_0
  - libuuid=1.0.3=h1bed415_2
  - libwebp-base=1.2.0=h27cfd23_0
  - libxcb=1.14=h7b6447c_0
  - libxml2=2.9.10=hb55368b_3
  - lz4-c=1.9.3=h2531618_0
  - matplotlib=3.3.4=py38h06a4308_0
  - matplotlib-base=3.3.4=py38h62a2d02_0
  - mkl=2020.2=256
  - mkl-service=2.3.0=py38he904b0f_0
  - mkl_fft=1.3.0=py38h54f3939_0
  - mkl_random=1.1.1=py38h0573a6f_0
  - mpc=1.1.0=h10f8cd9_1
  - mpfr=4.0.2=hb69a4c5_1
  - mpmath=1.1.0=py38_0
  - nbformat=5.1.2=pyhd3eb1b0_1
  - ncurses=6.2=he6710b0_1
  - numpy=1.19.2=py38h54aff64_0
  - numpy-base=1.19.2=py38hfa32c7d_0
  - olefile=0.46=py_0
  - openssl=1.1.1j=h27cfd23_0
  - pandas=1.2.3=py38ha9443f7_0
  - parso=0.7.0=py_0
  - pcre=8.44=he6710b0_0
  - pexpect=4.8.0=pyhd3eb1b0_3
  - pickleshare=0.7.5=pyhd3eb1b0_1003
  - pillow=8.1.2=py38he98fc37_0
  - pip=21.0.1=py38h06a4308_0
  - plotly=4.14.3=pyhd3eb1b0_0
  - prompt-toolkit=3.0.17=pyh06a4308_0
  - ptyprocess=0.7.0=pyhd3eb1b0_2
  - pygments=2.8.1=pyhd3eb1b0_0
  - pyparsing=2.4.7=pyhd3eb1b0_0
  - pyqt=5.9.2=py38h05f1152_4
  - pyrsistent=0.17.3=py38h7b6447c_0
  - python=3.8.8=hdb3f193_4
  - python-dateutil=2.8.1=pyhd3eb1b0_0
  - pytz=2021.1=pyhd3eb1b0_0
  - pyzmq=20.0.0=py38h2531618_1
  - qt=5.9.7=h5867ecd_1
  - readline=8.1=h27cfd23_0
  - retrying=1.3.3=py_2
  - scipy=1.6.1=py38h91f5cce_0
  - setuptools=52.0.0=py38h06a4308_0
  - sip=4.19.13=py38he6710b0_0
  - six=1.15.0=py38h06a4308_0
  - sqlite=3.35.2=hdfb4753_0
  - sympy=1.7.1=py38h06a4308_0
  - tk=8.6.10=hbc83047_0
  - tornado=6.1=py38h27cfd23_0
  - traitlets=5.0.5=pyhd3eb1b0_0
  - wcwidth=0.2.5=py_0
  - wheel=0.36.2=pyhd3eb1b0_0
  - xz=5.2.5=h7b6447c_0
  - zeromq=4.3.4=h2531618_0
  - zipp=3.4.1=pyhd3eb1b0_0
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.4.5=h9ceee32_0

[ianhi]

At long last I have a PR with a possible permanent fix here: https://github.com/jupyterlab-contrib/jupyterlab-vim/pull/57 🎉

would appreciate it if other people could try it out to confirm it works.

[MarcoGorelli]

This happens to me too, but if I use ctrl+[ instead of Esc then it works fine 🎉