Gcalc

Gcalc is a game probability (mostly gachas) calculator.

Why not use a simple formula?

Well because, real life examples are not clear cut demonstrated geometric sequences. Sometimes there is bonus for a specific gacha stage and there is also so-called confirmed gacha system. Therefore single formula cannot fit into diverse game gacha environments.

Demo

```bash

Print records of probabilty 0.2(20%) with budget of 100 and cost of 20 for each iteration.

Target probabilty is 0.6

gcalc cond 0.2 --budget 100 --cost 20 -f console -p 2 -T percentage -t 0.6 which prints a table with the help from [tabled](https://crates.io/crates/tabled) crate. +-------+------------+------+ | count | probabilty | cost | +-------+------------+------+ | 1 | 20.00% | 0 | +-------+------------+------+ | 2 | 36.00% | 20 | +-------+------------+------+ | 3 | 48.80% | 40 | +-------+------------+------+ | 4 | 59.04% | 60 | +-------+------------+------+ | 5 | 67.23% | 80 | +-------+------------+------+

```

Install

binary bash cargo install gcalc --features binary --locked

libary toml [dependencies] gcalc = "0.1.0"

Usage

```bash

Basic

gcalc

SUBCOMMANDS:

cond Conditional calculation

qual Conditional calculation but only prints result

range Prints range of calculations

reference Create reference file

Print from 0 to 10 as github markdown formatted table, which has a precision of

2 digits. Each try has cost of 1000.

cargo run --features binary -- range 0.2 --count 10 --format gfm --precision 2 --cost 1000

Print probability changes illustrated as csv formatted table, which has a

precision of 2 digits. Target probability is 0.8.

cargo run --features binary -- cond 0.2 --format csv --precision 2 --target 0.8 ```

Results of prior usages are, ```

cargo run --features binary -- range 0.2 --count 10 --format gfm --precision 2 --cost 1000

| count | probability | cost | |-------+-------------+------| | 1 | 0.20 | 1000 | | 2 | 0.36 | 2000 | | 3 | 0.49 | 3000 | | 4 | 0.59 | 4000 | | 5 | 0.67 | 5000 | | 6 | 0.74 | 6000 | | 7 | 0.79 | 7000 | | 8 | 0.83 | 8000 |

cargo run --features binary -- cond 0.2 --format csv --precision 2 --target 0.8

count,probability,cost 1,0.20,0.0 2,0.36,0.0 3,0.49,0.0 4,0.59,0.0 5,0.67,0.0 6,0.74,0.0 7,0.79,0.0 8,0.83,0.0 ```

Goal