{ "info": { "author": "Proximas", "author_email": "hyperhamster534@outlook.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Noisemap\n A simple library for python which returns a noisemap as a 2D numpy array.\n\n## Installation\n\n` pip install noisemap `\n\n## Usage\n\n### Functions\n\n#### Mapgen\n\n` Mapgen(size, smoothness) `\n\n##### Parameters\n\n###### `size`\n\n`size` defines how many data points are in the array. The noisemaps generated are always square, so a map with `size` 5 would be a 5x5 2D array.\n\n###### `smoothness`\n\n`smoothness` affects how smoothed out the noisemap is. A `smoothness` of 0 would be a grid of completely random numbers, whereas a higher `smoothness` would have each data point be relatively close in value to its adjacent data points.\n\n##### Notes\n\n* All datapoints are floating point numbers generated with `random.random()`. This means you can affect the numbers in the noisemap with `random.seed(seed)`.\n* Smoothing can take some time depending on the size of the grid and the amount of smoothing to be done.", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://hyperhamster535.github.io/Noisemap/", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "Noisemap", "package_url": "https://pypi.org/project/Noisemap/", "platform": "", "project_url": "https://pypi.org/project/Noisemap/", "project_urls": { "Homepage": "https://hyperhamster535.github.io/Noisemap/" }, "release_url": "https://pypi.org/project/Noisemap/1.0/", "requires_dist": null, "requires_python": "", "summary": "A simple library to generate noisemaps.", "version": "1.0" }, "last_serial": 5502131, "releases": { "1.0": [ { "comment_text": "", "digests": { "md5": "061f809a3d3d3cbf280d8b7ab301cd0d", "sha256": "7cfc81dbce7d3bf054bc2e2750107ab46b66b00a08e077be5bc3a2f7924ce782" }, "downloads": -1, "filename": "Noisemap-1.0.tar.gz", "has_sig": false, "md5_digest": "061f809a3d3d3cbf280d8b7ab301cd0d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1887, "upload_time": "2019-07-08T16:50:43", "url": "https://files.pythonhosted.org/packages/6f/51/29196fbf3860c222836e1c338b5e0dfb9a14d639bb3d4928430e2712d851/Noisemap-1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "061f809a3d3d3cbf280d8b7ab301cd0d", "sha256": "7cfc81dbce7d3bf054bc2e2750107ab46b66b00a08e077be5bc3a2f7924ce782" }, "downloads": -1, "filename": "Noisemap-1.0.tar.gz", "has_sig": false, "md5_digest": "061f809a3d3d3cbf280d8b7ab301cd0d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1887, "upload_time": "2019-07-08T16:50:43", "url": "https://files.pythonhosted.org/packages/6f/51/29196fbf3860c222836e1c338b5e0dfb9a14d639bb3d4928430e2712d851/Noisemap-1.0.tar.gz" } ] }