olefile | Python package to parse , read and write Microsoft OLE2 files
kandi X-RAY | olefile Summary
kandi X-RAY | olefile Summary
olefile is a Python package to parse, read and write Microsoft OLE2 files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), such as Microsoft Office 97-2003 documents, vbaProject.bin in MS Office 2007+ files, Image Composer and FlashPix files, Outlook messages, StickyNotes, several Microscopy file formats, McAfee antivirus quarantine files, etc.
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Top functions reviewed by kandi - BETA
- Open the file
- Loads the directory
- Check if the first section of the first section of the first_section is used
- Raise the appropriate exception
- Get user defined properties
- Find the ID for the given file
- Open a stream
- Decode a unicode string
- Read properties from a file
- Parse a single property
- Returns the variables of the word document
- Get a logger
- Return the type of a file
- Return the size of the OLE stream
- Return the time of a file
- Returns the time of a file
- Check if a file exists
- Return the CLID for a given file
- Get the modification time of the file
- Get the creation time of the file
- List all files in the root directory
- Get the metadata object
- Get properties from a file
- Check to see if a file exists
- Enable logging
- Close the stream
- Get the name of the root entry
- Dump root directory
olefile Key Features
olefile Examples and Code Snippets
Lines of Code : 4License : Strong Copyleft (CC BY-SA 4.0)
Copypython is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
def Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
#tensor: 128(pictures at the time ) * 784 (28*28)
Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28
Objgrid= make_grid(Objdata[:num],nrow=4).permutepackage:
name: jive
version: "0.2.1"
source:
path: .
build:
script: python -m pip install --no-deps --ignore-installed .
requirements:
host:
- python
- pip
- setuptools
run:
- python
- numpy
- pconda create --name foo -c conda-forge axelrod
# Save out figure if desired, then close
# Assuming not using a blocking draw/show call.
fig.savefig('myfig.png')
plt.close() # Object oriented: fig.close()
conda activate -n tf_plot
FROM continuumio/anaconda3:latest
ARG DEBIAN_FRONTEND=noninteractive
WORKDIR /bob
COPY . /bob/
RUN apt update
RUN apt install -y build-essential libopencv-dev python3-opencv ffmpeg libsndfile1 libsndfile-dev wget git tmux
RUN conda env cconda env create --file requirements.txt
name: nbdev
channels:
- fastai
- defaults
- conda-forge
dependencies:
- _r-mutex
- _tflow_select
- absl-py
- alabaster
name: nbdev
channels:
- fastai
- defaults
- conda-forge
dependencies:
- p# Create environment
conda create -n zipline_env python=3.6 ipykernel
# Activate environment, make sure you can see it in jupyter notebooks
conda activate zipline_env
python -m ipykernel install --user --name=zipline_env
# Install ZiplinCommunity Discussions
Trending Discussions on olefile
QUESTION
I have created a Python 3.7 conda virtual environment and installed the following packages using this command:
conda install pytorch torchvision torchaudio cudatoolkit=11.3 matplotlib scipy opencv -c pytorch
They install fine, but then when I come to run my program I get the following error which suggests that a CUDA enabled device is not found:
...ANSWER
Answered 2022-Feb-18 at 14:52I beleive I had the following things wrong that prevented me from using Cuda. Despite having cuda installed the nvcc --version command indicated that Cuda was not installed and so what I did was add it to the path using this answer.
Despite doing that and deleting my original conda environment and using the conda install pytorch torchvision torchaudio cudatoolkit=11.3 matplotlib scipy opencv -c pytorch command again I still got False when evaluating torch.cuda.is_available().
I then used this command conda install pytorch torchvision torchaudio cudatoolkit=10.2 matplotlib scipy opencv -c pytorch changing cudatoolkit from verison 11.3 to version 10.2 and then it worked!
Now torch.cuda.is_available() evaluates to True
Unfortunately, Cuda version 10.2 was incompatible with my RTX 3060 gpu (and I'm assuming it is not compatible with all RTX 3000 cards). Cuda version 11.0 was giving me errors and Cuda version 11.3 only installs the CPU only versions for some reason. Cuda version 11.1 worked perfectly though!
This is the command I used to get it to work in the end:
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
QUESTION
I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.
- I first tested the app by running
python setup.py py2app -Ain the terminal and the dist and build folder are successfully created and the app works when launched. - Now when I try to build it non-locally by running the command
python setup.py py2appin the terminal, there are various "WARNING: ImportERROR" messages while building and finally aerror: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'error.
How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
*I Left out a lot of the "skipping" and "warning" lines using "..." for space
ANSWER
Answered 2022-Mar-13 at 16:13The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.
The fix:
- Open the terminal and type the command
type -a python.
- You will see similar lines
QUESTION
Background
I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results
Result at Google Colab
Result at Jupyter
I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:
...ANSWER
Answered 2022-Feb-28 at 22:25After a few days I was able to find the solution
Firstly, my code needed to be fixed to correctly call the params needed with the proper name
QUESTION
I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.
But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.
So I did the following:
- write a simple
meta.yamlso I could use conda-build to buildjivelocally - build jive with
conda build . - I looked at the tarball that was produced and it does indeed contain the
jivesource as expected - In my other project, add jive to the dependencies in
environment.yml, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).
Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").
Try adjusting the meta.yaml to something like
QUESTION
I install new modules via the following command in my miniconda
...ANSWER
Answered 2022-Jan-06 at 20:11Consider creating a separate environment, e.g.,
QUESTION
I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:
...ANSWER
Answered 2021-Dec-12 at 16:12Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda gcc as described in the documentation instead of the system gcc.
QUESTION
Good day
I am getting an error while importing my environment:
...ANSWER
Answered 2021-Dec-03 at 09:22Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to
QUESTION
I am working with pycharm community on a tensorflow model with keras backend, sometimes this error appears in a random time, specially after I call pyplot and close the window:
...ANSWER
Answered 2021-Nov-30 at 20:26Looks like this is part of an actively tracked issue with Tkinter in PyCharm. You can find the reference on the Pycharm's developer's issue tracker. The issue is undiagnosed, but if looking at similar problems with Tk on StackOverflow, one can see that it's an issue with thread safety and/or multithreading.
All I can do is speculate as to the cause, which is not helpful, however, I can at least collate the suggested workarounds:
Switch to a different Matplotlib backend (See docs: What is a backend?). Such as Qt5, but you will need to make sure they are available in your environment.
This approach is the most promising as other backends are better able to deal with not being the main thread or are explicitly safe for multi-threading. It's also the simplest unless you have a really specific reason for preferring TkAgg.
Do not use the debugger with interactive plots.
Set "Variables Loading Policy" to "Synchronously" in Debugger as suggested by a PyCharm dev in the linked issue.
Enable "Scientific mode" in Pycharm.
More esoteric workarounds such as closing your figures within the code before drawing the second one. Example, after plotting the first figure:
QUESTION
I created a new environment and added it to jupyter like this:
...ANSWER
Answered 2021-Nov-22 at 07:31Going by the SO answer here the virtual environment named tf_plot needs to be activated first before import. i.e,
QUESTION
I have been looking for the solution for this error for a whole morning. I created an separate environment for python 3.6 and I still got this error. I am using anacondas. So i am so frustrated.
ModuleNotFoundError: No module named 'mxnet'
...ANSWER
Answered 2021-Nov-06 at 19:10use pip install mxnet. don't use conda install mxnet. if there is an error about permission, then use pip install mxnet --user. It worked for me.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install olefile
You can use olefile like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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