See how a minor change to your commit message style can make you a better programmer.
Format: <type>(<scope>): <subject>
<scope>
is optional
The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.
The correct way of creating a private frok by duplicating the repo is documented here.
For this assignment the commands are:
git clone --bare git@github.com:usi-systems/easytrace.git
Linking libstdc++ statically | |
Christopher Baus writes about his problems linking libstdc++ statically. Yes, making C++ binaries that will work properly in different Linux distributions is somewhat painful. The problem is not so much linking libstdc++ statically – it is just a library, after all – but the runtime support required by C++ code in general, to enable features like RTTI and exception handling. | |
The runtime support code used by different parts of a C++ application needs to be compatible. If one part of the program needs to dynamic_cast or catch objects provided by another, both parts must agree on certain implementation details: how to find vtables, how to unwind the stack, and so on. | |
For C++ and a few other GCC-supported languages with similar features, such details are specified by a C++ ABI. Whenever the ABI used by GCC changes you'll end up with incompatible libraries produced by the different GCC versions. The same is true for plain C, but the C ABI is much simpler and has been around a lot lon |
git config --global https.proxy http://127.0.0.1:1080 | |
git config --global https.proxy https://127.0.0.1:1080 | |
git config --global --unset http.proxy | |
git config --global --unset https.proxy | |
npm config delete proxy |
This article focuses on building CPython for common Linux server operating systems.
These scripts will be tested in fresh Docker container.
I'll install dependencies from package manager if possible, or I'll try compile myself if that makes sense.
The dependencies doesn't change much between these CPython versions, so Python 3.12 and 3.10
import argparse | |
import numpy as np | |
import torch | |
import torch.nn as nn | |
import coremltools as ct | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
# When using float16, all predicted logits are 0. To be debugged. | |
compute_precision = ct.precision.FLOAT32 | |
compute_units = ct.ComputeUnit.CPU_ONLY |
import 'dart:math'; | |
import 'package:flutter/material.dart'; | |
import 'package:flutter/rendering.dart'; | |
void main() { | |
runApp(MyApp()); | |
} | |
class MyApp extends StatelessWidget { | |
@override |