TEGAN | Generative Adversarial Network | Machine Learning library
kandi X-RAY | TEGAN Summary
kandi X-RAY | TEGAN Summary
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
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Top functions reviewed by kandi - BETA
- Calculate the velocity gradient
- Compute ddx
- Perform NDHW on input tensor
- Convert binary files to TFRecord
- Read data from file
- 3d convolutional layer
- 3d convolution with periodic padding
- Performs a pixel shift on the input tensor
- Phase the input tensors
- Get the scaled image data
- Reads images data from the given image
- Make comparison plots
- Plot an image
- 3D filter
- Perform periodic padding
- 2d convolutional layer
- Run optimizer
- Get all data files in the given directory
- Calculate pressure residual
- Reads the summary_all_value from a file
- Calculate ddx
- Dummy ddy tensor
- Perform periodic padding with periodic padding
- Read data from file_info
- Generate a slice of images
- Perform NDHW
- D2d convolutional layer
- Default global flags
TEGAN Key Features
TEGAN Examples and Code Snippets
Community Discussions
Trending Discussions on TEGAN
QUESTION
This function is not filtering out files that match the prefix(~$) or extension (eval(not '.xlsm')) nor is it filtering out folders.
All 3 attempts produced the same result. I'm pretty new at this Python stuff so please dumb it down for me what I should do...
ATTEMPT 1
...ANSWER
Answered 2019-Jul-10 at 21:39You're just missing some of the finer points.
Your file variable is the name of a file in folder_path, NOT in your working directory. os.path.isdir looks for file from outside, doesn't find it, then returns False.
Let os.path.isdir find the directory by giving the whole path os.path.join(folder_path, file).
QUESTION
I have an issue with some XML files. I cannot say a lot about data, because it is for work and I don't want to be in trouble! From a huge XML file, 123091 lines of code, I only need data from 7 tags(if that makes sense). I am trying to extract that specific data, but I am having a bit of a situation when trying to store into pandas or csv. I have found a method to take some information out, like:
...ANSWER
Answered 2018-Nov-29 at 15:48As mentioned, your needed nodes are at different levels of the XML and hence path expressions will be different for each data item. Additionally you need to traverse between two repeating levels: SalesToRecordCompanyByTerritory and ReleaseTransactionsToRecordCompany.
Therefore, consider parsing in nested for loops. And rather than growing a data frame inside a loop, build a list of dictionaries that you can pass into pandas' DataFrame() constructor outside of the loop. With this approach, you migrate dictionary keys as columns and elements as data.
Below uses chained find() calls, long relative, or short absolute paths to navigate down the nested levels and retrieve corresponding element text values. Notice all parsing are relative to looped nodes with parent terr and child rls objects.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TEGAN
You can use TEGAN 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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