A micro-game "flappy bird".

Overview

1-o-flappy

A micro-game "flappy bird".

Gameplays

The game will be installed at /usr/bin . The name of it is "1-o-flappy". You can type "1-o-flappy" to start a game. When the game starts, the "bird" will go down automatically. Press enter to control the vertical moving of the "bird" and it will go up. When the "bird" falls down or touch any rolls, the game will be over and it will show "Game over!". Press Ctrl-C to pause in a game. You will never win this game.
The title bar of the game shows: date and time, the time that the game has run(Unit: second), vertical speed, horizontal speed, the range of the rolls, and the score.

Config

When a game starts, it will load a config file named ".1-o-flappy" that be at your home directory. If that file does not exist, the game will create it. If you want to see the default content of this file, please go to next page.
The file must contain these to run the game normally:

  • roll_skin -> a str
  • width -> an int(> 0)
  • p_skin -> a str
  • height -> an int(> 0)
  • blank_skin -> a str
  • speed_v -> an int or a float(> 0) or a str(eval(str) > 0)
  • v_border -> a str
  • speed_h -> an int or a float(> 0) or a str(eval(str) > 0)
  • h_border -> a str
  • high -> an int(> 0)
  • roll_range -> an int(> 0) or a str(type(eval(str)) == int and eval(str) > 0)
  • cooldown_tile -> an int(>= 0) or a str(type(eval(str)) == int and eval(str) >= 0)

roll_skin means the skin of the rolls(the default is "|").
p_skin means the skin of the "bird"(the default is "O").
blank_skin means the skin of the blank area(the default is " ").
v_border means the skin of the vertical border on the right(the default is "").
h_border means the skin of the horizontal border on the bottom(the default is "-").
You can color the skin(like "\033[42m").
The default content of the config file:

# The config file of Flappy.

# Skin config start
roll_skin = "|"
p_skin = "O"
blank_skin = " "
v_border = ""
h_border = "-"
# Skin config end

# Gameplay config start
width = 79
height = 18
speed_v = 20
speed_h = 4
roll_range = 3
cooldown_tile = 16
high = 15
# Gameplay config end

width means the visible width of the checkerboard(the default is 79).
height means the visible height of the checkerboard(the default is 18).
speed_v means the vertical(right to left) moving speed of the "bird"(the default is 20). It is also the speed of the refreshing.
speed_h means the horizontal moving speed of the "bird"(the default is 4).
roll_range means the passable range of the rolls(the default is 3).
cooldown_tile means the value of the least separation of two rolls(the default is 16).
high means the initial height of the "bird".
speed_v, speed_h, roll_range, cooldown_tile can be a str. If it is a str, the game will read it as eval(str). Be sure the eval value of it is a positive, and also be sure the type of the eval value of roll_range or cooldown_tile is an int. Else an error will occur.
Some usable values:

"(time.time()-start_time)" # the value of the time that game has run(Unit: s)
"(score)" # the score of the game
"(high)" # the height of the "bird"
"(time.time())" # the time that be generated by time.time
"(sum(checkerboard))" # the sum of the height of all the rolls

FAQ

Q: Why the name of this game is "1-o-flappy"?
A: The real name of this game is "1-O-Flappy". "1-o-flappy" is the name of the deb archive. "1" refers to "|", it is the default skin of the rolls. "O" is the default skin of the "bird". The "1-O-" helps the name of the game avoid name conflict.
Q: I pressed enter, but why does not the "bird" go up?
A: That seems your did not press enter frequently or the setting of the repeating of the keyboard inputting is too slow.
Q: Why the game looks like a contorted space after modifying the skins in the config file?
A: That is one of the core features of this game, so enjoy it 😄
Q: Why this game is installed at /usr/bin but not /usr/games ?
A: Treat it equally with other executable files.

You might also like...
Deep Q-learning for playing chrome dino game
Deep Q-learning for playing chrome dino game

[PYTORCH] Deep Q-learning for playing Chrome Dino

A simple pygame dino game which can also be trained and played by a NEAT KI

Dino Game AI Game The game itself was developed with the Pygame module pip install pygame You can also play it yourself by making the dino jump with t

Implementation of QuickDraw - an online game developed by Google, combined with AirGesture - a simple gesture recognition application
Implementation of QuickDraw - an online game developed by Google, combined with AirGesture - a simple gesture recognition application

QuickDraw - AirGesture Introduction Here is my python source code for QuickDraw - an online game developed by google, combined with AirGesture - a sim

A simple Rock-Paper-Scissors game using CV in python

ML18_Rock-Paper-Scissors-using-CV A simple Rock-Paper-Scissors game using CV in python For IITISOC-21 Rules and procedure to play the interactive game

ICS 4u HD project, start before-wards. A curtain shooting game using python.

Touhou-Star-Salvation HDCH ICS 4u HD project, start before-wards. A curtain shooting game using python and pygame. By Jason Li For arts and gameplay,

A Real-Time-Strategy game for Deep Learning research
A Real-Time-Strategy game for Deep Learning research

Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi

A customisable game where you have to quickly click on black tiles in order of appearance while avoiding clicking on white squares.

W.I.P-Aim-Memory-Game A customisable game where you have to quickly click on black tiles in order of appearance while avoiding clicking on white squar

A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning

Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"

Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method
Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method

Overcooked-AI We suppose to apply traditional offline reinforcement learning technique to multi-agent algorithm. In this repository, we implemented be

Releases(v0.1.3.59123)
Owner
Just make it.
Unofficial Tensorflow Implementation of ConvNeXt from A ConvNet for the 2020s

Tensorflow Implementation of "A ConvNet for the 2020s" This is the unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s" pap

DK 11 Oct 12, 2022
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

PFENet This is the implementation of our paper PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation that has been accepted to IEE

DV Lab 230 Dec 31, 2022
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Real-ESRGAN Colab Demo for Real-ESRGAN . Portable Windows executable file. You can find more information here. Real-ESRGAN aims at developing Practica

Xintao 17.2k Jan 02, 2023
Code To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment.

COLIEE 2021 - task 2: Legal Case Entailment This repository contains the code to reproduce NeuralMind's submissions to COLIEE 2021 presented in the pa

NeuralMind 13 Dec 16, 2022
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

GANimation: Anatomically-aware Facial Animation from a Single Image [Project] [Paper] Official implementation of GANimation. In this work we introduce

Albert Pumarola 1.8k Dec 28, 2022
Repo for code associated with Modeling the Mitral Valve.

Project Title Mitral Valve Getting Started Repo for code associated with Modeling the Mitral Valve. See https://arxiv.org/abs/1902.00018 for preprint,

Alex Kaiser 1 May 17, 2022
Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures.

NLP_0-project Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures1. We are a "democratic" and c

3 Mar 16, 2022
Code for the ECIR'22 paper "Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators"

Query Variation Generators This repository contains the code and annotation data for the ECIR'22 paper "Evaluating the Robustness of Retrieval Pipelin

Gustavo Penha 12 Nov 20, 2022
Implementation for Panoptic-PolarNet (CVPR 2021)

Panoptic-PolarNet This is the official implementation of Panoptic-PolarNet. [ArXiv paper] Introduction Panoptic-PolarNet is a fast and robust LiDAR po

Zixiang Zhou 126 Jan 01, 2023
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd

Rydin 28 Dec 10, 2022
AI-generated-characters for Learning and Wellbeing

AI-generated-characters for Learning and Wellbeing Click here for the full project page. This repository contains the source code for the paper AI-gen

MIT Media Lab 214 Jan 01, 2023
Code for "MetaMorph: Learning Universal Controllers with Transformers", Gupta et al, ICLR 2022

MetaMorph: Learning Universal Controllers with Transformers This is the code for the paper MetaMorph: Learning Universal Controllers with Transformers

Agrim Gupta 50 Jan 03, 2023
MMDetection3D is an open source object detection toolbox based on PyTorch

MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project developed by MMLab.

OpenMMLab 3.2k Jan 05, 2023
Unofficial implementation of the Involution operation from CVPR 2021

involution_pytorch Unofficial PyTorch implementation of "Involution: Inverting the Inherence of Convolution for Visual Recognition" by Li et al. prese

Rishabh Anand 46 Dec 07, 2022
Complete* list of autonomous driving related datasets

AD Datasets Complete* and curated list of autonomous driving related datasets Contributing Contributions are very welcome! To add or update a dataset:

Daniel Bogdoll 13 Dec 19, 2022
Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"

StyleAttack Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer" Prepare Pois

THUNLP 19 Nov 20, 2022
Deep Learning Slide Captcha

滑动验证码深度学习识别 本项目使用深度学习 YOLOV3 模型来识别滑动验证码缺口,基于 https://github.com/eriklindernoren/PyTorch-YOLOv3 修改。 只需要几百张缺口标注图片即可训练出精度高的识别模型,识别效果样例: 克隆项目 运行命令: git cl

Python3WebSpider 55 Jan 02, 2023
Linescanning - Package for (pre)processing of anatomical and (linescanning) fMRI data

line scanning repository This repository contains all of the tools used during the acquisition and postprocessing of line scanning data at the Spinoza

Jurjen Heij 4 Sep 14, 2022
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V

183 Jan 09, 2023
Implementation of ICCV 2021 oral paper -- A Novel Self-Supervised Learning for Gaussian Mixture Model

SS-GMM Implementation of ICCV 2021 oral paper -- Self-Supervised Image Prior Learning with GMM from a Single Noisy Image with supplementary material R

HUST-The Tan Lab 4 Dec 05, 2022