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/** | |
* @type {React.FC<{ | |
* propertyOne: string, | |
* propertyTwo: ComplicatedClass<GenericType>, | |
* propertyThree: any, | |
* propertyFour: (fxnArg: object) => string | |
* }>} | |
*/ | |
const ComplicatedComponent = ({propertyOne, propertyTwo, propertyThree, propertyFour}) => { |
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use bevy::prelude::*; | |
pub struct GlobalChildRef(pub Entity); | |
pub struct GlobalChild; | |
fn setup( | |
mut commands: Commands, | |
mut materials: ResMut<Assets<ColorMaterial>>, | |
global_child: ResMut<GlobalChildRef>, | |
) { |
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package main | |
import ( | |
"fmt" | |
) | |
func main() { | |
fmt.Print("Hello, ", "playground\n") | |
s := AppState{} | |
a := ActionStack[AppState]{} |
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def uniques_by_col(df: pd.DataFrame, drop_columns=[]) -> pd.DataFrame: | |
u = {} | |
for col in df.columns.tolist(): | |
if str(col) not in drop_columns: | |
u[col] = pd.Series([(i[0], v) for i, v in dftxt[[col]].value_counts().iteritems()], dtype="object") | |
df2 = pd.DataFrame.from_dict(u, orient="index").T.replace({None: np.nan}) | |
col_order = [] | |
for col in df2.columns.tolist(): | |
if str(col) not in drop_columns: | |
df2[[(str(col), "Val"), (str(col), "Count")]] = pd.DataFrame(df2[col].tolist(), index=df2.index) |
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package main | |
import ( | |
"fmt" | |
"math/rand" | |
) | |
func main() { | |
src := []float64{} | |
for i := 0; i < 100; i++ { |
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use std::process::Command; | |
fn main() { | |
let tailwind_cmd = "npx tailwindcss -i input.css -o assets/app.css"; | |
if cfg!(target_os = "windows") { | |
Command::new("cmd").arg("/C").arg(tailwind_cmd).status() | |
} else { | |
Command::new("sh").arg("-c").arg(tailwind_cmd).status() | |
} |