Merge remote-tracking branch 'upstream/master'
rickiepark
commit
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13
README.md
13
README.md
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@ -32,7 +32,11 @@ Of course, you obviously need Python. Python 2 is already preinstalled on most s
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$ python --version # for Python 2
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$ python3 --version # for Python 3
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Any Python 3 version should be fine, preferably ≥3.5. If you don't have Python 3, I recommend installing it (Python ≥2.6 should work, but it is deprecated so Python 3 is preferable). To do so, you have several options: on Windows or MacOSX, you can just download it from [python.org](https://www.python.org/downloads/). On MacOSX, you can alternatively use [MacPorts](https://www.macports.org/) or [Homebrew](https://brew.sh/). On Linux, unless you know what you are doing, you should use your system's packaging system. For example, on Debian or Ubuntu, type:
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Any Python 3 version should be fine, preferably ≥3.5. If you don't have Python 3, I recommend installing it (Python ≥2.6 should work, but it is deprecated so Python 3 is preferable). To do so, you have several options: on Windows or MacOSX, you can just download it from [python.org](https://www.python.org/downloads/). On MacOSX, you can alternatively use [MacPorts](https://www.macports.org/) or [Homebrew](https://brew.sh/). If you are using Python 3.6 on MacOSX, you need to run the following command to install the `certifi` package of certificates because Python 3.6 on MacOSX has no certificates to validate SSL connections (see this [StackOverflow question](https://stackoverflow.com/questions/27835619/urllib-and-ssl-certificate-verify-failed-error)):
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$ /Applications/Python\ 3.6/Install\ Certificates.command
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On Linux, unless you know what you are doing, you should use your system's packaging system. For example, on Debian or Ubuntu, type:
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$ sudo apt-get update
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$ sudo apt-get install python3
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@ -49,9 +53,9 @@ When using Anaconda, you can optionally create an isolated Python environment de
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This creates a fresh Python 3.5 environment called `mlbook` (you can change the name if you want to), and it activates it. This environment contains all the scientific libraries that come with Anaconda. This includes all the libraries we will need (NumPy, Matplotlib, Pandas, Jupyter and a few others), except for TensorFlow, so let's install it:
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$ conda install -n mlbook -c conda-forge tensorflow=1.0.0
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$ conda install -n mlbook -c conda-forge tensorflow=1.4.0
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This installs TensorFlow 1.0.0 in the `mlbook` environment (fetching it from the `conda-forge` repository). If you chose not to create an `mlbook` environment, then just remove the `-n mlbook` option.
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This installs TensorFlow 1.4.0 in the `mlbook` environment (fetching it from the `conda-forge` repository). If you chose not to create an `mlbook` environment, then just remove the `-n mlbook` option.
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Next, you can optionally install Jupyter extensions. These are useful to have nice tables of contents in the notebooks, but they are not required.
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@ -105,3 +109,6 @@ This should open up your browser, and you should see Jupyter's tree view, with t
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Note: you can also visit [http://localhost:8888/nbextensions](http://localhost:8888/nbextensions) to activate and configure Jupyter extensions.
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Congrats! You are ready to learn Machine Learning, hands on!
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# Contributors
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I would like to thank everyone who contributed to this project, either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Steven Bunkley and Ziembla who created the `docker` directory.
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@ -0,0 +1 @@
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COMPOSE_PROJECT_NAME=handson-ml
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@ -1,28 +1,29 @@
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FROM continuumio/anaconda3
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RUN apt-get update && apt-get upgrade -y \
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&& apt-get install -y \
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libpq-dev \
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build-essential \
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git \
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sudo \
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&& rm -rf /var/lib/apt/lists/*
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&& apt-get install -y \
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libpq-dev \
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build-essential \
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git \
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sudo \
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&& rm -rf /var/lib/apt/lists/*
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RUN conda install -y -c conda-forge \
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tensorflow=1.0.0 \
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jupyter_contrib_nbextensions
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tensorflow \
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jupyter_contrib_nbextensions
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ARG username
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ARG userid
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ARG home=/home/${username}
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ARG workdir=${home}/handson-ml
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RUN adduser ${username} --uid ${userid} --gecos '' --disabled-password \
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&& echo "${username} ALL=(root) NOPASSWD:ALL" > /etc/sudoers.d/${username} \
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&& chmod 0440 /etc/sudoers.d/${username}
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&& echo "${username} ALL=(root) NOPASSWD:ALL" > /etc/sudoers.d/${username} \
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&& chmod 0440 /etc/sudoers.d/${username}
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ENV HOME /home/${username}
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WORKDIR ${HOME}/handson-ml
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RUN chown ${username}:${username} ${HOME}/handson-ml
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WORKDIR ${workdir}
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RUN chown ${username}:${username} ${workdir}
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USER ${username}
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@ -30,6 +31,55 @@ RUN jupyter contrib nbextension install --user
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RUN jupyter nbextension enable toc2/main
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# INFO: Jupyter and nbdime extension are not totally integrated (anaconda image is py36,
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# nbdime checks for py35 at the moment, still the config below enables diffing
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# notebooks with nbdiff (and nbdiff support in git diff command) after connecting
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# to the container by "make exec" (or "docker-compose exec handson-ml bash")
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# You may also try running:
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# nbd NOTEBOOK_NAME.ipynb
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# to get nbdiff between checkpointed version and current version of the given notebook
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USER root
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WORKDIR /
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RUN conda install -y -c conda-forge nbdime
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USER ${username}
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WORKDIR ${workdir}
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RUN git-nbdiffdriver config --enable --global
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# INFO: Optionally uncomment any (one) of the following RUN commands below to ignore either
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# metadata or details in nbdiff within git diff
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#RUN git config --global diff.jupyternotebook.command 'git-nbdiffdriver diff --ignore-metadata'
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RUN git config --global diff.jupyternotebook.command 'git-nbdiffdriver diff --ignore-details'
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# INFO: Dirty nbdime patching (ignored if not matching)
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COPY docker/nbdime-*.patch /tmp/
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USER root
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WORKDIR /
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RUN patch -d /opt/conda/lib/python3.6/site-packages -p1 --forward --reject-file=- < \
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/tmp/nbdime-1-details.patch || true \
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&& patch -d /opt/conda/lib/python3.6/site-packages -p1 --forward --reject-file=- < \
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/tmp/nbdime-2-toc.patch || true
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RUN rm /tmp/nbdime-*.patch
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USER ${username}
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WORKDIR ${workdir}
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COPY docker/bashrc.bash /tmp/
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RUN cat /tmp/bashrc.bash >> ${home}/.bashrc
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RUN echo "export PATH=\"${workdir}/docker/bin:$PATH\"" >> ${home}/.bashrc
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RUN sudo rm /tmp/bashrc.bash
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# INFO: Uncomment lines below to enable automatic save of python-only and html-only
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# exports alongside the notebook
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#COPY docker/jupyter_notebook_config.py /tmp/
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#RUN cat /tmp/jupyter_notebook_config.py >> ${home}/.jupyter/jupyter_notebook_config.py
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#RUN sudo rm /tmp/jupyter_notebook_config.py
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# INFO: Uncomment the RUN command below to disable git diff paging
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#RUN git config --global core.pager ''
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# INFO: Uncomment the RUN command below for easy and constant notebook URL (just localhost:8888)
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# That will switch jupyter to using empty password instead of a token.
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# To avoid making a security hole you SHOULD in fact not only uncomment but
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@ -38,34 +88,6 @@ RUN jupyter nbextension enable toc2/main
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# from notebook.auth import passwd
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# passwd()
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# and take the hash from the output
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#RUN mkdir -p ${HOME}/.jupyter && \
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# echo 'c.NotebookApp.password = u"sha1:c6bbcba2d04b:f969e403db876dcfbe26f47affe41909bd53392e"' \
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# >> ${HOME}/.jupyter/jupyter_notebook_config.py
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# INFO: Uncomment the RUN command below to disable git diff paging
|
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#RUN git config --global core.pager ''
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# INFO: Below - work in progress, nbdime not totally integrated, still it enables diffing
|
||||
# notebooks with nbdiff (and nbdiff support in git diff command) after connecting to
|
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# the container by "make exec" (docker exec)
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# Try:
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# nbd NOTEBOOK_NAME.ipynb
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# to get nbdiff between checkpointed version and current version of the given notebook
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USER root
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WORKDIR /
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||||
|
||||
RUN conda install -y -c conda-forge nbdime
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||||
|
||||
USER ${username}
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||||
WORKDIR ${HOME}/handson-ml
|
||||
|
||||
RUN git-nbdiffdriver config --enable --global
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|
||||
# INFO: Uncomment the RUN command below to ignore metadata in nbdiff within git diff
|
||||
#RUN git config --global diff.jupyternotebook.command 'git-nbdiffdriver diff --ignore-metadata'
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||||
|
||||
COPY docker/bashrc /tmp/bashrc
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||||
RUN cat /tmp/bashrc >> ${HOME}/.bashrc
|
||||
RUN sudo rm -rf /tmp/bashrc
|
||||
#RUN mkdir -p ${home}/.jupyter && \
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||||
# echo 'c.NotebookApp.password = u"sha1:c6bbcba2d04b:f969e403db876dcfbe26f47affe41909bd53392e"' \
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# >> ${home}/.jupyter/jupyter_notebook_config.py
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|
|
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|
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@ -4,7 +4,7 @@ help:
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run:
|
||||
docker-compose up
|
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exec:
|
||||
docker-compose exec handson-ml /bin/bash
|
||||
docker-compose exec handson-ml bash
|
||||
build: stop .FORCE
|
||||
docker-compose build
|
||||
rebuild: stop .FORCE
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
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|||
|
||||
# Hands-on Machine Learning in Docker :-)
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||||
# Hands-on Machine Learning in Docker
|
||||
|
||||
This is the Docker configuration which allows you to run and tweak the book's notebooks without installing any dependencies on your machine!<br/>
|
||||
OK, any except `docker`. With `docker-compose`. Well, you may also want `make` (but it is only used as thin layer to call a few simple `docker-compose` commands).
|
||||
|
|
@ -32,7 +32,9 @@ You can close the server just by pressing `Ctrl-C` in terminal window.
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|||
|
||||
Run `make exec` (or `docker-compose exec handson-ml bash`) while the server is running to run an additional `bash` shell inside the `handson-ml` container. Now you're inside the environment prepared within the image.
|
||||
|
||||
One of the usefull things that can be done there may be comparing versions of the notebooks using the `nbdiff` command if you haven't got `nbdime` installed locally (it is **way** better than plain `diff` for notebooks). See [Tools for diffing and merging of Jupyter notebooks](https://github.com/jupyter/nbdime) for more details.
|
||||
One of the usefull things that can be done there would be starting TensorBoard (for example with simple `tb` command, see bashrc file).
|
||||
|
||||
Another one may be comparing versions of the notebooks using the `nbdiff` command if you haven't got `nbdime` installed locally (it is **way** better than plain `diff` for notebooks). See [Tools for diffing and merging of Jupyter notebooks](https://github.com/jupyter/nbdime) for more details.
|
||||
|
||||
You can see changes you made relative to the version in git using `git diff` which is integrated with `nbdiff`.
|
||||
|
||||
|
|
|
|||
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@ -1,12 +0,0 @@
|
|||
alias ll="ls -l"
|
||||
|
||||
nbd() {
|
||||
DIRNAME=$(dirname "$1")
|
||||
BASENAME=$(basename "$1" .ipynb)
|
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|
||||
WORKING_COPY=$DIRNAME/$BASENAME.ipynb
|
||||
CHECKPOINT_COPY=$DIRNAME/.ipynb_checkpoints/$BASENAME-checkpoint.ipynb
|
||||
|
||||
# echo "How change $CHECKPOINT_COPY into $WORKING_COPY"
|
||||
nbdiff "$CHECKPOINT_COPY" "$WORKING_COPY"
|
||||
}
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
alias ll="ls -alF"
|
||||
alias nbd="nbdiff_checkpoint"
|
||||
alias tb="tensorboard --logdir=tf_logs"
|
||||
|
|
@ -0,0 +1,116 @@
|
|||
#!/usr/bin/env python
|
||||
|
||||
import collections
|
||||
import glob
|
||||
import hashlib
|
||||
import os
|
||||
import subprocess
|
||||
|
||||
|
||||
class NotebookAnalyser:
|
||||
|
||||
def __init__(self, dry_run=False, verbose=False, colorful=False):
|
||||
self._dry_run = dry_run
|
||||
self._verbose = verbose
|
||||
self._colors = collections.defaultdict(lambda: "")
|
||||
if colorful:
|
||||
for color in [
|
||||
NotebookAnalyser.COLOR_WHITE,
|
||||
NotebookAnalyser.COLOR_RED,
|
||||
NotebookAnalyser.COLOR_GREEN,
|
||||
NotebookAnalyser.COLOR_YELLOW,
|
||||
]:
|
||||
self._colors[color] = "\033[{}m".format(color)
|
||||
|
||||
NOTEBOOK_SUFFIX = ".ipynb"
|
||||
CHECKPOINT_DIR = NOTEBOOK_SUFFIX + "_checkpoints"
|
||||
CHECKPOINT_MASK = "*-checkpoint" + NOTEBOOK_SUFFIX
|
||||
CHECKPOINT_MASK_LEN = len(CHECKPOINT_MASK) - 1
|
||||
|
||||
@staticmethod
|
||||
def get_hash(file_path):
|
||||
with open(file_path, "rb") as input:
|
||||
hash = hashlib.md5()
|
||||
for chunk in iter(lambda: input.read(4096), b""):
|
||||
hash.update(chunk)
|
||||
return hash.hexdigest()
|
||||
|
||||
MESSAGE_ORPHANED = "missing "
|
||||
MESSAGE_MODIFIED = "modified"
|
||||
MESSAGE_DELETED = "DELETING"
|
||||
|
||||
COLOR_WHITE = "0"
|
||||
COLOR_RED = "31"
|
||||
COLOR_GREEN = "32"
|
||||
COLOR_YELLOW = "33"
|
||||
|
||||
def log(self, message, file, color=COLOR_WHITE):
|
||||
color_on = self._colors[color]
|
||||
color_off = self._colors[NotebookAnalyser.COLOR_WHITE]
|
||||
print("{}{}{}: {}".format(color_on, message, color_off, file))
|
||||
|
||||
def clean_checkpoints(self, directory):
|
||||
for checkpoint_path in sorted(glob.glob(os.path.join(directory, NotebookAnalyser.CHECKPOINT_MASK))):
|
||||
|
||||
workfile_dir = os.path.dirname(os.path.dirname(checkpoint_path))
|
||||
workfile_name = os.path.basename(checkpoint_path)[:-NotebookAnalyser.CHECKPOINT_MASK_LEN] + NotebookAnalyser.NOTEBOOK_SUFFIX
|
||||
workfile_path = os.path.join(workfile_dir, workfile_name)
|
||||
|
||||
status = ""
|
||||
if not os.path.isfile(workfile_path):
|
||||
if self._verbose:
|
||||
self.log(NotebookAnalyser.MESSAGE_ORPHANED, workfile_path, NotebookAnalyser.COLOR_RED)
|
||||
else:
|
||||
checkpoint_stat = os.stat(checkpoint_path)
|
||||
workfile_stat = os.stat(workfile_path)
|
||||
|
||||
modified = workfile_stat.st_size != checkpoint_stat.st_size
|
||||
|
||||
if not modified:
|
||||
checkpoint_hash = NotebookAnalyser.get_hash(checkpoint_path)
|
||||
workfile_hash = NotebookAnalyser.get_hash(workfile_path)
|
||||
modified = checkpoint_hash != workfile_hash
|
||||
|
||||
if modified:
|
||||
if self._verbose:
|
||||
self.log(NotebookAnalyser.MESSAGE_MODIFIED, workfile_path, NotebookAnalyser.COLOR_YELLOW)
|
||||
else:
|
||||
self.log(NotebookAnalyser.MESSAGE_DELETED, checkpoint_path, NotebookAnalyser.COLOR_GREEN)
|
||||
if not self._dry_run:
|
||||
os.remove(checkpoint_path)
|
||||
|
||||
if not self._dry_run and not os.listdir(directory):
|
||||
self.log(NotebookAnalyser.MESSAGE_DELETED, directory, NotebookAnalyser.COLOR_GREEN)
|
||||
os.rmdir(directory)
|
||||
|
||||
def clean_checkpoints_recursively(self, directory):
|
||||
for (root, subdirs, files) in os.walk(directory):
|
||||
subdirs.sort() # INFO: traverse alphabetically
|
||||
if NotebookAnalyser.CHECKPOINT_DIR in subdirs:
|
||||
subdirs.remove(NotebookAnalyser.CHECKPOINT_DIR) # INFO: don't recurse there
|
||||
self.clean_checkpoints(os.path.join(root, NotebookAnalyser.CHECKPOINT_DIR))
|
||||
|
||||
|
||||
def main():
|
||||
import argparse
|
||||
parser = argparse.ArgumentParser(description="Remove checkpointed versions of those jupyter notebooks that are identical to their working copies.",
|
||||
epilog="""Notebooks will be reported as either
|
||||
"DELETED" if the working copy and checkpointed version are identical
|
||||
(checkpoint will be deleted),
|
||||
"missing" if there is a checkpoint but no corresponding working file can be found
|
||||
or "modified" if notebook and the checkpoint are not byte-to-byte identical.
|
||||
If removal of checkpoints results in empty ".ipynb_checkpoints" directory
|
||||
that directory is also deleted.
|
||||
""") #, formatter_class=argparse.RawDescriptionHelpFormatter)
|
||||
parser.add_argument("dirs", metavar="DIR", type=str, nargs="*", default=".", help="directories to search")
|
||||
parser.add_argument("-d", "--dry-run", action="store_true", help="only print messages, don't perform any removals")
|
||||
parser.add_argument("-v", "--verbose", action="store_true", help="verbose mode")
|
||||
parser.add_argument("-c", "--color", action="store_true", help="colorful mode")
|
||||
args = parser.parse_args()
|
||||
|
||||
analyser = NotebookAnalyser(args.dry_run, args.verbose, args.color)
|
||||
for directory in args.dirs:
|
||||
analyser.clean_checkpoints_recursively(directory)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
#!/bin/bash
|
||||
if [[ "$#" -lt 1 || "$1" =~ ^((-h)|(--help))$ ]] ; then
|
||||
echo "usage: nbdiff_checkpoint NOTEBOOK.ipynb"
|
||||
echo
|
||||
echo "Show differences between given jupyter notebook and its checkpointed version (in .ipynb_checkpoints subdirectory)"
|
||||
exit
|
||||
fi
|
||||
|
||||
DIRNAME=$(dirname "$1")
|
||||
BASENAME=$(basename "$1" .ipynb)
|
||||
shift
|
||||
|
||||
WORKING_COPY=$DIRNAME/$BASENAME.ipynb
|
||||
CHECKPOINT_COPY=$DIRNAME/.ipynb_checkpoints/$BASENAME-checkpoint.ipynb
|
||||
|
||||
echo "----- Analysing how to change $CHECKPOINT_COPY into $WORKING_COPY -----"
|
||||
nbdiff "$CHECKPOINT_COPY" "$WORKING_COPY" --ignore-details "$@"
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
#!/usr/bin/env python
|
||||
|
||||
import os
|
||||
|
||||
def remove_empty_directories(initial_dir,
|
||||
allow_initial_delete=False, ignore_nonexistant_initial=False,
|
||||
dry_run=False, quiet=False):
|
||||
|
||||
FORBIDDEN_SUBDIRS = set([".git"])
|
||||
|
||||
if not os.path.isdir(initial_dir) and not ignore_nonexistant_initial:
|
||||
raise RuntimeError("Initial directory '{}' not found!".format(initial_dir))
|
||||
|
||||
message = "removed"
|
||||
if dry_run:
|
||||
message = "to be " + message
|
||||
|
||||
deleted = set()
|
||||
|
||||
for (directory, subdirs, files) in os.walk(initial_dir, topdown=False):
|
||||
forbidden = False
|
||||
parent = directory
|
||||
while parent:
|
||||
parent, dirname = os.path.split(parent)
|
||||
if dirname in FORBIDDEN_SUBDIRS:
|
||||
forbidden = True
|
||||
break
|
||||
if forbidden:
|
||||
continue
|
||||
|
||||
is_empty = len(files) < 1 and len(set([os.path.join(directory, s) for s in subdirs]) - deleted) < 1
|
||||
|
||||
if is_empty and (initial_dir != directory or allow_initial_delete):
|
||||
if not quiet:
|
||||
print("{}: {}".format(message, directory))
|
||||
deleted.add(directory)
|
||||
if not dry_run:
|
||||
os.rmdir(directory)
|
||||
|
||||
def main():
|
||||
import argparse
|
||||
parser = argparse.ArgumentParser(description="Remove empty directories recursively in subtree.")
|
||||
parser.add_argument("dir", metavar="DIR", type=str, nargs="+", help="directory to be searched")
|
||||
parser.add_argument("-r", "--allow-dir-removal", action="store_true", help="allow deletion of DIR itself")
|
||||
parser.add_argument("-i", "--ignore-nonexistent-dir", action="store_true", help="don't throw an error if DIR doesn't exist")
|
||||
parser.add_argument("-d", "--dry-run", action="store_true", help="only print messages, don't perform any removals")
|
||||
parser.add_argument("-q", "--quiet", action="store_true", help="don't print names of directories being removed")
|
||||
args = parser.parse_args()
|
||||
for directory in args.dir:
|
||||
remove_empty_directories(directory, args.allow_dir_removal, args.ignore_nonexistent_dir,
|
||||
args.dry_run, args.quiet)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
#!/bin/bash
|
||||
python -m tensorboard.main "$@"
|
||||
|
|
@ -15,6 +15,7 @@ services:
|
|||
max-size: 50m
|
||||
ports:
|
||||
- "8888:8888"
|
||||
- "6006:6006"
|
||||
volumes:
|
||||
- ../:/home/devel/handson-ml
|
||||
command: /opt/conda/bin/jupyter notebook --ip='*' --port=8888 --no-browser
|
||||
|
|
|
|||
|
|
@ -0,0 +1,15 @@
|
|||
import os
|
||||
import subprocess
|
||||
|
||||
def export_script_and_view(model, os_path, contents_manager):
|
||||
if model["type"] != "notebook":
|
||||
return
|
||||
dir_name, file_name = os.path.split(os_path)
|
||||
file_base, file_ext = os.path.splitext(file_name)
|
||||
if file_base.startswith("Untitled"):
|
||||
return
|
||||
export_name = file_base if file_ext == ".ipynb" else file_name
|
||||
subprocess.check_call(["jupyter", "nbconvert", "--to", "script", file_name, "--output", export_name + "_script"], cwd=dir_name)
|
||||
subprocess.check_call(["jupyter", "nbconvert", "--to", "html", file_name, "--output", export_name + "_view"], cwd=dir_name)
|
||||
|
||||
c.FileContentsManager.post_save_hook = export_script_and_view
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
--- a/nbdime/diffing/notebooks.py
|
||||
+++ b/nbdime/diffing/notebooks.py
|
||||
@@ -548,8 +548,12 @@ def set_notebook_diff_targets(sources=True, outputs=True, attachments=True, meta
|
||||
metadata_keys = ("/cells/*/metadata", "/metadata", "/cells/*/outputs/*/metadata")
|
||||
if metadata:
|
||||
for key in metadata_keys:
|
||||
- if key in notebook_differs:
|
||||
- del notebook_differs[key]
|
||||
+ if details:
|
||||
+ if key in notebook_differs:
|
||||
+ del notebook_differs[key]
|
||||
+ else:
|
||||
+ notebook_differs[key] = diff_ignore_keys(
|
||||
+ inner_differ=diff, ignore_keys=['collapsed', 'autoscroll', 'deletable', 'editable'])
|
||||
else:
|
||||
for key in metadata_keys:
|
||||
notebook_differs[key] = diff_ignore
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
--- a/nbdime/diffing/notebooks.py
|
||||
+++ b/nbdime/diffing/notebooks.py
|
||||
@@ -553,7 +553,7 @@
|
||||
del notebook_differs[key]
|
||||
else:
|
||||
notebook_differs[key] = diff_ignore_keys(
|
||||
- inner_differ=diff, ignore_keys=['collapsed', 'autoscroll', 'deletable', 'editable'])
|
||||
+ inner_differ=diff, ignore_keys=['toc', 'collapsed', 'autoscroll', 'deletable', 'editable'])
|
||||
else:
|
||||
for key in metadata_keys:
|
||||
notebook_differs[key] = diff_ignore
|
||||
Loading…
Reference in New Issue