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"""
Rectangle Plugin
=================
This is a demo adapted from a `matplotlib gallery example
<http://matplotlib.org/examples/shapes_and_collections/path_patch_demo.html>`_

This example adds a custom D3 plugin allowing the user to drag a
rectangle and adjust the rectangle shape.

Use the toolbar buttons at the bottom-right of the plot to enable zooming

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import pandas as pd
import numpy as np


def read_csv(fname, **kwargs):
    df = pd.read_csv(fname, **kwargs)
    arrs = [df.icol(i).data for i in range(df.shape[1])]
    dtype = [(h, df.dtypes[h]) for h in df.columns]
    arr = np.rec.fromarrays(arrs, dtype=dtype)
    arr.columns = df.columns.tolist()

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"""

AIMQ messaging:

Start with a dictionary
Convert to raw Avro
Send raw Avro over the wire
Convert to dict on the other end

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diff --git a/setup.py b/setup.py
index 01b6962..fa3f50e 100755
--- a/setup.py
+++ b/setup.py
@@ -20,14 +20,29 @@ DOWNLOAD_URL        = 'http://github.com/scikit-image/scikit-image'
 VERSION             = '0.11dev'
 PYTHON_VERSION      = (2, 6)

-import re
 import os

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==15942== Memcheck, a memory error detector
==15942== Copyright (C) 2002-2013, and GNU GPL'd, by Julian Seward et al.
==15942== Using Valgrind-3.10.0.SVN and LibVEX; rerun with -h for copyright info
==15942== Command: /usr/bin/python skimage/restoration/tests/test_unwrap.py
==15942== 
==15942== Invalid read of size 4
==15942==    at 0x56E90A: PyObject_GC_Del (in /usr/bin/python2.7)
==15942==    by 0x538FC6: ??? (in /usr/bin/python2.7)
==15942==    by 0x54B7B5: ??? (in /usr/bin/python2.7)
==15942==    by 0x579F2C: ??? (in /usr/bin/python2.7)

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# Live streaming 2D monochrome image receiver

# We can start this from python to view images
# So we get the live image or a current image from Python, and
# send it to ImageJ through this interface.  Boom!

from ij import IJ
from ij.process import ByteProcessor, ShortProcessor, LUT

import jarray

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from __future__ import division
import numpy as np


def phantom3d(phantom='modified-shepp-logan', n=64):
    """Three-dimensional Shepp-Logan phantom

    Can be used to test 3-D reconstruction algorithms.

    Parameters

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import numpy as np
import json
import sys
try:
    import cPickle as pickle
except ImportError:
    import pickle


if sys.version.startswith('3'):

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from subprocess import check_output
import os

from metakernel import ProcessMetaKernel, REPLWrapper, u


class OctaveKernel(ProcessMetaKernel):
    # Identifiers:
    implementation = 'octave_metakernel'
    language = 'octave'

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from ast import literal_eval
from avro.io import DatumReader, DatumWriter, BinaryEncoder, BinaryDecoder
from avro.schema import Names, SchemaFromJSONData
import yaml
import numpy as np


class BinaryDatumWriter(object):