idea-fasoc / datasheet-scrubber Goto Github PK

Hi,
The versions of the python dependencies used in this repo are not stated. In particular I do not manage to figure out what versions of tensorflow and keras are needed for the code to run. I need to downgrade them to specific versions.

Can you help me? Thank you!

The Xilinx Series 7 FPGA series is a very popular FPGA series which includes;

• Artix 7
• Kintex 7
• Virtex 7
• Spartan 7

You can find out more information about them at https://www.xilinx.com/support/documentation/selection-guides/7-series-product-selection-guide.pdf and https://www.xilinx.com/products/silicon-devices/fpga.html

The Artix 7 document starts here -> https://www.xilinx.com/products/silicon-devices/fpga/artix-7.html#documentation

The important datasheets are;

• https://www.xilinx.com/support/documentation/data_sheets/ds180_7Series_Overview.pdf
• https://www.xilinx.com/support/documentation/data_sheets/ds181_Artix_7_Data_Sheet.pdf
• https://www.xilinx.com/support/documentation/data_sheets/ds197-xa-artix7-overview.pdf

The make file README is looking for a file "Initializer.py", or is there no need for make?
Looks like it disappeared. Is there a preferred branch to build from?

This document gives a step by step guide on how to install MongoDB on other Operating Systems and how to perform queries. By the end of the tutorial you will be able to vizualize documents and search records in the Database using queries.

The link is broken. The website says to contact the uploader, I'm guessing this project.

Thanks!

Datasheet scrubber requires Python 3.7 which is not generally available on long term release platforms. Anaconda is a self contained Python environment. It is used heavily by data scientists and machine learning experts.

An initial script could look like this one.

The minimal script could look something like

#!/bin/bash
wget -c https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod a+x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh -p ./env -b -f
pip install -r requirements.txt 
# Or maybe python setup.py
# Or maybe pip install .
echo "Set path using;"
echo "export PATH=$PWD/env/bin:$$PATH"

Conda also has support for "environment files"

Conda is also used heavily on Mac + Windows which don't ship with decent Python support.

Why don't manufacturers provide such information using a standard JSON/XML file ?

I understand for 70s datasheets. But nowadays, it would facilitate component selection, warehouse, schematic, check, simulation and pcb design etc.

In the Youtube video for the datasheet scrubber, I can see a negative value of -1 for the minimum DNL, but the datasheet scrubber found a positive 1 value I think, and it seems like this error wasn't noticed, around 1:51 in the video.