{
    "info": {
        "author": "Sixty North AS",
        "author_email": "rob@sixty-north.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "eseries\n=======\n\nThe E-series is a system of preferred numbers used with electronic\ncomponents such as resistors and capacitors. For example, the E6\nseries contains six values (10, 15, 22, 33, 47, 68) which cover a\none-order of magnitude range of values (one decade) from 10 to 99.\nThese base values repeat again to cover the next decade from 100\nto 999, as 100, 220, 330, 470, and 680.\n\nThis ``eseries`` library is useful for selecting values from the\nstandard E3, E6, E12, E24, E48, E96 and E192 decades.\n\nStatus\n------\n\n.. image:: https://travis-ci.org/rob-smallshire/eseries.svg?branch=master\n    :target: https://travis-ci.org/rob-smallshire/eseries\n\n.. image:: https://coveralls.io/repos/github/rob-smallshire/eseries/badge.svg?branch=master\n    :target: https://coveralls.io/github/rob-smallshire/eseries?branch=master\n\nInstallation\n------------\n\nThe ``eseries`` package is available on the Python Package Index (PyPI):\n\n.. image:: https://badge.fury.io/py/eseries.svg\n    :target: https://badge.fury.io/py/eseries\n\nThe package support Python 3 only. To install::\n\n  $ pip install eseries\n\nPython Interface\n----------------\n\nFor full help::\n\n  >>> import eseries\n  >>> help(eseries)\n\nIn the meantime, here are some highlights.\n\nTo find the nearest E24 value to 319 use::\n\n  >>> from eseries import find_nearest, E24\n  >>> find_nearest(E24, 319)\n  330\n\nTo find the next value greater-than or equal-to 184 in the E96 series\nuse::\n\n  >>> from eseries import find_greater_than_or_equal, E96\n  >>> find_greater_than_or_equal(E96, 184)\n  187\n\nTo find a few values around the specified value, use::\n\n  >>> from eseries import find_nearest_few, E24\n  >>> find_nearest_few(E24, 5000)\n  (4700, 5100, 5600)\n\n\nCommand-Line Interface\n----------------------\n\nThere's also a handy command-line interface. Run ``eseries --help``\nto see a list of commands::\n\n  $ eseries --help\n  eseries\n\n  Usage: eseries [options] <command> [<args> ...]\n\n  Options:\n    -h --help     Show this screen.\n    -v --verbose  Use verbose logging\n\n Available commands:\n    ge\n    gt\n    help\n    le\n    lower-tolerance-limit\n    lt\n    nearby\n    nearest\n    range\n    series\n    tolerance\n    tolerance-limits\n    upper-tolerance-limit\n\n  See 'eseries help <command>' for help on specific commands.\n\nTo find a nearby value, use::\n\n  $ eseries nearest E24 37726\n  39e3\n\nIf you prefer an SI exponent symbol, supply ``--symbol`` or ``-s``::\n\n  $ eseries nearest E24 37726 -s\n  39 k\n\nTo show values around the given value, use the ``nearby`` command::\n\n  $ eseries nearby E48 52e6 -s\n  48.7 M\n  51.1 M\n  53.6 M\n\nTo show the smallest value greater than or equal to the given value, use the ``ge`` command::\n\n  $ eseries ge E48 52e3 -s\n  53.6 k\n\n To show the upper and lower tolerance limits of a nominal value, use the ``tolerance-limits`` command::\n\n  $ eseries tolerance-limits E48 35\n  34.3\n  35.7\n\n To show all values in an inclusive range, use the ``range`` command::\n\n  $ eseries range E6 74e-9 34e-6 --symbol\n  100 n\n  150 n\n  220 n\n  330 n\n  470 n\n  680 n\n  1 \u00b5\n  1.5 \u00b5\n  2.2 \u00b5\n  3.3 \u00b5\n  4.7 \u00b5\n  6.8 \u00b5\n  10 \u00b5\n  15 \u00b5\n  22 \u00b5\n  33 \u00b5\n\n\n",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/rob-smallshire/eseries",
        "keywords": "electronics resistors capacitors preferred-numbers",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "eseries",
        "package_url": "https://pypi.org/project/eseries/",
        "platform": "",
        "project_url": "https://pypi.org/project/eseries/",
        "project_urls": {
            "Homepage": "https://github.com/rob-smallshire/eseries"
        },
        "release_url": "https://pypi.org/project/eseries/1.1.1/",
        "requires_dist": [
            "docopt-subcommands",
            "check-manifest; extra == 'dev'",
            "wheel; extra == 'dev'",
            "sphinx; extra == 'doc'",
            "cartouche; extra == 'doc'",
            "coverage; extra == 'test'",
            "hypothesis; extra == 'test'",
            "pytest; extra == 'test'"
        ],
        "requires_python": "",
        "summary": "Working with the E-series of preferred numbers used for electronic components, such as resistors and capacitors",
        "version": "1.1.1"
    },
    "last_serial": 3399035,
    "releases": {
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f053c4498be81966a3a47c23245e16b1",
                    "sha256": "b2465f8f271f61853d8c47373b8efc1330cf1970257069f59d4181bb78db3264"
                },
                "downloads": -1,
                "filename": "eseries-1.0.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f053c4498be81966a3a47c23245e16b1",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 10557,
                "upload_time": "2017-12-06T17:54:04",
                "url": "https://files.pythonhosted.org/packages/65/4e/c2789ead775156bb8624aa007c3efcc06a4815708634ac4d92032f9a12b0/eseries-1.0.0-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "d73e38973d703de3c9d6eecf0d64d0b0",
                    "sha256": "aa53e9743c31dc94a351a8363609ad01c9163c54b152d7a86d7b773a2c1d0152"
                },
                "downloads": -1,
                "filename": "eseries-1.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "d73e38973d703de3c9d6eecf0d64d0b0",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 9191,
                "upload_time": "2017-12-06T17:54:06",
                "url": "https://files.pythonhosted.org/packages/08/85/05e02dc5789d0f343e3616464ebc816322e774820465148fc5d2456930c0/eseries-1.0.0.tar.gz"
            }
        ],
        "1.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "16a6f3151d8a40cee6d053ed2bcf0a37",
                    "sha256": "57c3193910fb1f45c80455d93ee015f2d914e149da5c8c2188a36726c8d55425"
                },
                "downloads": -1,
                "filename": "eseries-1.0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "16a6f3151d8a40cee6d053ed2bcf0a37",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 10995,
                "upload_time": "2017-12-06T18:13:16",
                "url": "https://files.pythonhosted.org/packages/77/f6/345f407aca3c893bd57a7c829f88bdc71248447123d1ca049d8cbdfa3a3e/eseries-1.0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a42f4c8ebcb3f08b190b9ec595374ee5",
                    "sha256": "268e0f5ee859f366325216fffd4240131196cff750a123d19b6323192900bc96"
                },
                "downloads": -1,
                "filename": "eseries-1.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "a42f4c8ebcb3f08b190b9ec595374ee5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 9536,
                "upload_time": "2017-12-06T18:13:19",
                "url": "https://files.pythonhosted.org/packages/5c/fa/a31a8e8cfe0c6fc0816558d245ecce221d24f764a8f1f9a188c75e609411/eseries-1.0.1.tar.gz"
            }
        ],
        "1.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "189996460d988e0b7f875715bdfa139f",
                    "sha256": "a18c4ac330a546e616e12003d85f564fe40ed96bc0692f6a80e655fc927500c1"
                },
                "downloads": -1,
                "filename": "eseries-1.1.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "189996460d988e0b7f875715bdfa139f",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 11456,
                "upload_time": "2017-12-07T09:30:26",
                "url": "https://files.pythonhosted.org/packages/c3/57/b1b732ebc3d6d990e9cc148eda08f80590b5340ba7b7e81a84e159165261/eseries-1.1.0-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "bcdbbabb4bb7f495ce1959b6469bf6e3",
                    "sha256": "45b70c19bc28b4fbc2354c6279f8e52bec7c6895f2a4e5b8f358984092b4fb77"
                },
                "downloads": -1,
                "filename": "eseries-1.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "bcdbbabb4bb7f495ce1959b6469bf6e3",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 10059,
                "upload_time": "2017-12-07T09:30:27",
                "url": "https://files.pythonhosted.org/packages/ef/fe/6f986e09e88f489eca7685b08c7b5afd65b70df5888d486ed239dd6d9379/eseries-1.1.0.tar.gz"
            }
        ],
        "1.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "910b64bbf8536b50d31c00de8a6edee7",
                    "sha256": "fb4647dc9f5d0ffb56e621094f16f594883980c123a4a9553e56aadc0c66b87c"
                },
                "downloads": -1,
                "filename": "eseries-1.1.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "910b64bbf8536b50d31c00de8a6edee7",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 11924,
                "upload_time": "2017-12-07T22:01:32",
                "url": "https://files.pythonhosted.org/packages/06/ef/f64d52edcdb532b2902b50e50f13cb33d9e56ff1532900f2bdc7a40f9d48/eseries-1.1.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "4335cce1a1580acca8e1b2e929a4c68b",
                    "sha256": "0fbb477b8d07685017e43d3988f7b722148d6e2959736d85cea63b7cf532000d"
                },
                "downloads": -1,
                "filename": "eseries-1.1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "4335cce1a1580acca8e1b2e929a4c68b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 12227,
                "upload_time": "2017-12-07T22:01:34",
                "url": "https://files.pythonhosted.org/packages/36/44/ebca2e98026e702427f767c0eb64b65fbf0496081721083a2feef838117e/eseries-1.1.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "910b64bbf8536b50d31c00de8a6edee7",
                "sha256": "fb4647dc9f5d0ffb56e621094f16f594883980c123a4a9553e56aadc0c66b87c"
            },
            "downloads": -1,
            "filename": "eseries-1.1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "910b64bbf8536b50d31c00de8a6edee7",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 11924,
            "upload_time": "2017-12-07T22:01:32",
            "url": "https://files.pythonhosted.org/packages/06/ef/f64d52edcdb532b2902b50e50f13cb33d9e56ff1532900f2bdc7a40f9d48/eseries-1.1.1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "4335cce1a1580acca8e1b2e929a4c68b",
                "sha256": "0fbb477b8d07685017e43d3988f7b722148d6e2959736d85cea63b7cf532000d"
            },
            "downloads": -1,
            "filename": "eseries-1.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "4335cce1a1580acca8e1b2e929a4c68b",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 12227,
            "upload_time": "2017-12-07T22:01:34",
            "url": "https://files.pythonhosted.org/packages/36/44/ebca2e98026e702427f767c0eb64b65fbf0496081721083a2feef838117e/eseries-1.1.1.tar.gz"
        }
    ]
}