lucidfrontier45

# /// script
# requires-python = ">=3.12"
# dependencies = ["aws-bedrock-token-generator"]
# ///

from aws_bedrock_token_generator import provide_token

token = provide_token()
print(token)

lucidfrontier45

MINGW_UCRT_DIR=$HOME/.local/urct-mingw
rm -rf $MINGW_UCRT_DIR
mkdir -p $MINGW_UCRT_DIR

for tool in addr2line ar as c++ c++filt cpp dlltool dllwrap elfedit g++ gcc gcc-14 gcc-ar gcc-nm gcc-ranlib gcov gcov-dump gcov-tool gprof ld lto-dump nm objcopy objdump ranlib readelf size strings strip widl windmc windres; do
    ln -s /usr/bin/x86_64-w64-mingw32ucrt-$tool "$MINGW_UCRT_DIR/bin/x86_64-w64-mingw32-$tool"
done

ln -s $MINGW_UCRT_DIR/bin/x86_64-w64-mingw32-ld  $MINGW_UCRT_DIR/bin/x86_64-w64-mingw32-ld.bfd 
ln -s /usr/share/mingw-w64/pkg-config-crosswrapper $MINGW_UCRT_DIR/bin/x86_64-w64-mingw32-pkg-config 

lucidfrontier45

{
    "learner": {
        "attributes": {},
        "feature_names": [],
        "feature_types": [],
        "gradient_booster": {
            "model": {
                "gbtree_model_param": {
                    "num_parallel_tree": "1",
                    "num_trees": "2"

lucidfrontier45

import jax
import jax.random as jrand
import flax.linen as nn
import numpyro.distributions as dist

def autoprior(model: nn.Module, model_args, scale=1.0, prefix: str="param"):
    key = jrand.PRNGKey(0)
    init_params = model.init(key, *model_args)
    flatten_params, tree_def = jax.tree.flatten(init_params)
    shapes = [x.shape for x in flatten_params]

lucidfrontier45

# Campbell (Windows 10 default)

# Default colors
[colors.primary]
background = '#0c0c0c'
foreground = '#cccccc'

# Normal colors
[colors.normal]
black      = '#0c0c0c'

lucidfrontier45

import torch
import torch.nn.functional as F
from torch.nn import Linear, Module


class MyModel(Module):
    def __init__(self):
        super().__init__()
        self.linear11 = Linear(3, 8)
        self.linear12 = Linear(5, 8)

lucidfrontier45

#include <chrono>
#include <iostream>
#include <random>

double dot(const std::vector<double> &x, const std::vector<double> &y)
{
    auto n = x.size();
    double s = 0.0;
    for (size_t i = 0; i < n; i++)
    {

lucidfrontier45

plugins {
    id 'java'
    id "jacoco"
    id "com.diffplug.spotless" version "6.7.2"
}

repositories {
    // Use Maven Central for resolving dependencies.
    mavenCentral()
}

lucidfrontier45

BasedOnStyle: Webkit
AlignOperands: true
AlignAfterOpenBracket: Align
AllowShortIfStatementsOnASingleLine: true
AllowShortLoopsOnASingleLine: false
AllowShortFunctionsOnASingleLine: Empty
ConstructorInitializerAllOnOneLineOrOnePerLine: false
BreakConstructorInitializers: BeforeColon
AlwaysBreakTemplateDeclarations: true
ColumnLimit: 88

lucidfrontier45

#include <iostream>

struct MyVector {

    size_t current_size = 0;
    size_t capacity = 0;
    double* data = nullptr;

    MyVector() : capacity { 10 }, current_size { 0 }
    {