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    "info": {
        "author": "Brian Lee, Neil Stoddard",
        "author_email": "brian.lee@ni.com, neil.stoddard@ni.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: System :: Hardware :: Hardware Drivers"
        ],
        "description": "===========  =================================================================================================================================\r\nInfo         Contains a Python API for interacting with NI-DAQmx. See `GitHub <https://github.com/ni/nidaqmx-python/>`_ for the latest source.\r\nAuthor       National Instruments\r\n===========  =================================================================================================================================\r\n\r\nAbout\r\n=====\r\n\r\nThe **nidaqmx** package contains an API (Application Programming Interface)\r\nfor interacting with the NI-DAQmx driver. The package is implemented in Python.\r\nThis package was created and is supported by NI. The package is implemented as a \r\ncomplex, highly object-oriented wrapper around the NI-DAQmx C API using the \r\n`ctypes <https://docs.python.org/2/library/ctypes.html>`_ Python library.\r\n\r\n**nidaqmx** 0.5 supports all versions of the NI-DAQmx driver that ships with the\r\nC API. The C API is included in any version of the driver that supports it. The \r\n**nidaqmx** package does not require installation of the C header files.\r\n\r\nSome functions in the **nidaqmx** package may be unavailable with earlier \r\nversions of the NI-DAQmx driver. Visit the \r\n`ni.com/downloads <http://www.ni.com/downloads/>`_ to upgrade your version of \r\nNI-DAQmx.\r\n\r\n**nidaqmx** supports only the Windows operating system.\r\n\r\n**nidaqmx** supports CPython 2.7, 3.4+, PyPy2, and PyPy3.\r\n\r\nInstallation\r\n============\r\n\r\nRunning **nidaqmx** requires NI-DAQmx or NI-DAQmx Runtime. Visit the\r\n`ni.com/downloads <http://www.ni.com/downloads/>`_ to download the latest version \r\nof NI-DAQmx.\r\n\r\n**nidaqmx** can be installed with `pip <http://pypi.python.org/pypi/pip>`_::\r\n\r\n  $ python -m pip install nidaqmx\r\n\r\nOr **easy_install** from\r\n`setuptools <http://pypi.python.org/pypi/setuptools>`_::\r\n\r\n  $ python -m easy_install nidaqmx\r\n\r\nYou also can download the project source and run::\r\n\r\n  $ python setup.py install\r\n\r\n.. _usage-section:\r\n\r\nUsage\r\n=====\r\nThe following is a basic example of using an **nidaqmx.task.Task** object. \r\nThis example illustrates how the single, dynamic **nidaqmx.task.Task.read** \r\nmethod returns the appropriate data type.\r\n\r\n.. code-block:: python\r\n\r\n  >>> import nidaqmx\r\n  >>> with nidaqmx.Task() as task:\r\n  ...     task.ai_channels.add_ai_voltage_chan(\"Dev1/ai0\")\r\n  ...     task.read()\r\n  ...\r\n  -0.07476920729381246\r\n  >>> with nidaqmx.Task() as task:\r\n  ...     task.ai_channels.add_ai_voltage_chan(\"Dev1/ai0\")\r\n  ...     task.read(number_of_samples_per_channel=2)\r\n  ...\r\n  [0.26001373311970705, 0.37796597238117036]\r\n  >>> from nidaqmx.constants import LineGrouping\r\n  >>> with nidaqmx.Task() as task:\r\n  ...     task.di_channels.add_di_chan(\r\n  ...         \"cDAQ2Mod4/port0/line0:1\", line_grouping=LineGrouping.CHAN_PER_LINE)\r\n  ...     task.read(number_of_samples_per_channel=2)\r\n  ...\r\n  [[False, True], [True, True]]\r\n\r\nA single, dynamic **nidaqmx.task.Task.write** method also exists.\r\n\r\n.. code-block:: python\r\n\r\n  >>> import nidaqmx\r\n  >>> from nidaqmx.types import CtrTime\r\n  >>> with nidaqmx.Task() as task:\r\n  ...     task.co_channels.add_co_pulse_chan_time(\"Dev1/ctr0\")\r\n  ...     sample = CtrTime(high_time=0.001, low_time=0.001)\r\n  ...     task.write(sample)\r\n  ...\r\n  1\r\n  >>> with nidaqmx.Task() as task:\r\n  ...     task.ao_channels.add_ao_voltage_chan(\"Dev1/ao0\")\r\n  ...     task.write([1.1, 2.2, 3.3, 4.4, 5.5], auto_start=True)\r\n  ...\r\n  5\r\n\r\nConsider using the **nidaqmx.stream_readers** and **nidaqmx.stream_writers**\r\nclasses to increase the performance of your application, which accept pre-allocated\r\nNumPy arrays.\r\n\r\nFollowing is an example of using an **nidaqmx.system.System** object.\r\n\r\n.. code-block:: python\r\n\r\n  >>> import nidaqmx.system\r\n  >>> system = nidaqmx.system.System.local()\r\n  >>> system.driver_version\r\n  DriverVersion(major_version=16L, minor_version=0L, update_version=0L)\r\n  >>> for device in system.devices:\r\n  ...     print(device)\r\n  ...\r\n  Device(name=Dev1)\r\n  Device(name=Dev2)\r\n  Device(name=cDAQ1)\r\n  >>> import collections\r\n  >>> isinstance(system.devices, collections.Sequence)\r\n  True\r\n  >>> device = system.devices['Dev1']\r\n  >>> device == nidaqmx.system.Device('Dev1')\r\n  True\r\n  >>> isinstance(device.ai_physical_chans, collections.Sequence)\r\n  True\r\n  >>> phys_chan = device.ai_physical_chans['ai0']\r\n  >>> phys_chan\r\n  PhysicalChannel(name=Dev1/ai0)\r\n  >>> phys_chan == nidaqmx.system.PhysicalChannel('Dev1/ai0')\r\n  True\r\n  >>> phys_chan.ai_term_cfgs\r\n  [<TerminalConfiguration.RSE: 10083>, <TerminalConfiguration.NRSE: 10078>, <TerminalConfiguration.DIFFERENTIAL: 10106>]\r\n  >>> from enum import Enum\r\n  >>> isinstance(phys_chan.ai_term_cfgs[0], Enum)\r\n  True\r\n\r\nSupport / Feedback\r\n==================\r\n\r\nThe **nidaqmx** package is supported by NI. For support for **nidaqmx**, open \r\na request through the NI support portal at `ni.com <http://www.ni.com>`_.\r\n\r\nBugs / Feature Requests\r\n=======================\r\n\r\nTo report a bug or submit a feature request, please use the \r\n`GitHub issues page <https://github.com/ni/nidaqmx-python/issues>`_.\r\n\r\nInformation to Include When Asking for Help\r\n-------------------------------------------\r\n\r\nPlease include **all** of the following information when opening an issue:\r\n\r\n- Detailed steps on how to reproduce the problem and full traceback, if \r\n  applicable.\r\n- The python version used::\r\n\r\n  $ python -c \"import sys; print(sys.version)\"\r\n\r\n- The versions of the **nidaqmx**, numpy, six and enum34 packages used::\r\n\r\n  $ python -m pip list\r\n\r\n- The version of the NI-DAQmx driver used. Follow \r\n  `this KB article <http://digital.ni.com/express.nsf/bycode/ex8amn>`_ \r\n  to determine the version of NI-DAQmx you have installed.\r\n- The operating system and version, for example Windows 7, CentOS 7.2, ...\r\n\r\nDocumentation\r\n=============\r\n\r\nDocumentation is available `here <http://nidaqmx-python.readthedocs.io>`_.\r\n\r\nAdditional Documentation\r\n========================\r\n\r\nRefer to the `NI-DAQmx Help <http://digital.ni.com/express.nsf/bycode/exagg4>`_ \r\nfor API-agnostic information about NI-DAQmx or measurement concepts.\r\n\r\nNI-DAQmx Help installs only with the full version of NI-DAQmx.\r\n\r\nLicense\r\n=======\r\n\r\n**nidaqmx** is licensed under an MIT-style license (see\r\n`LICENSE <https://github.com/ni/nidaqmx-python/blob/master/LICENSE>`_).\r\nOther incorporated projects may be licensed under different licenses. All\r\nlicenses allow for non-commercial and commercial use.\r\n\r\n",
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