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diff --git a/python/dpd/README.md b/python/dpd/README.md
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+Digital Predistortion Computation Engine for ODR-DabMod
+=======================================================
+
+This folder contains a digital predistortion prototype.
+It was only tested in a laboratory system, and is not ready
+for production usage.
+
+Concept
+-------
+
+ODR-DabMod makes outgoing TX samples and feedback RX samples available to an
+external tool. This external tool can request a buffer of samples for analysis,
+can calculate coefficients for the predistorter in ODR-DabMod and load the new
+coefficients using the remote control.
+
+The external tool is called the Digital Predistortion Computation Engine (DPDCE).
+The DPDCE is written in python, and makes use of the numpy library for
+efficient computation. Its sources reside in the *dpd* folder.
+
+The predistorter in ODR-DabMod supports two modes: polynomial and lookup table.
+In the DPDCE, only the polynomial model is implemented at the moment.
+
+The *dpd/main.py* script is the entry point for the *DPD Computation Engine*
+into which these features will be implemented. The tool uses modules from the
+*dpd/src/* folder:
+
+- Sample transfer and time alignment with subsample accuracy is done by *Measure.py*
+- Estimating the effects of the PA using some model and calculation of the updated
+  polynomial coefficients is done in *Model.py* and other specific *Model_XXX.py* files
+- Finally, *Adapt.py* updates the ODR-DabMod predistortion setting and digital gain
+
+These modules themselves use additional helper scripts in the *dpd/src/* folder.
+
+Requirements
+------------
+
+- USRP B200.
+- Power amplifier.
+- A feedback connection from the power amplifier output, such that the average power level at
+  the USRP RX port is at -45dBm or lower.
+  Usually this is done with a directional coupler and additional attenuators.
+- ODR-DabMod with enabled *dpd_port*, and with a samplerate of 8192000 samples per second.
+- Synchronous=1 so that the USRP has the timestamping set properly, internal refclk and pps
+  are sufficient (not GPSDO necessary).
+- A live mux source with TIST enabled.
+
+See dpd/dpd.ini for an example.
+
+The DPD server port can be tested with the *dpd/show_spectrum.py* helper tool, which can also display
+a constellation diagram.
+
+Hardware Setup
+--------------
+
+![setup diagram](img/setup_diagram.svg)
+![setup photo](img/setup_photo.svg)
+
+Our setup is depicted in the Figure above. We used components with the following properties:
+ 1. USRP TX (max +20dBm)
+ 2. Band III Filter (Mini-Circuits RBP-220W+, 190-250MHz, -3.5dB)
+ 3. Power amplifier (Mini-Circuits, max +15dBm output, +10 dB gain at 200MHz)
+ 4. Directional coupler (approx. -25dB @ 223MHz)
+ 5. Attenuator (-20 dB)
+ 6. Attenuator (-30 dB)
+ 7. USRP RX (max -15dBm input allowed, max -45dBm desired)
+ 8. Spectrum analyzer (max +30dBm allowed)
+
+It is important to make sure that the USRP RX port does not receive too much
+power. Otherwise the USRP will break. Here is an example of how we calculated
+the maximal USRP RX input power for our case. As this is only a rough
+calculation to protect the port, the predistortion software will later
+automatically apply a normalization for the RX input by adapting the USRP RX
+gain.
+
+    TX Power + PA Gain - Coupling Factor - Attenuation = 20dBm + 10dB -25dB -50dB = -45dBm
+
+Thus we have a margin of about 30dB for the input power of the USRP RX port.
+Keep in mind we need to calculate using peak power, not average power, and it is
+essential that there is no nonlinearity in the RX path!
+
+Software Setup
+--------------
+
+We assume that you already installed *ODR-DabMux* and *ODR-DabMod*.
+You should install the required python dependencies for the DPDCE using
+distribution packages. You will need at least scipy, matplotlib and
+python-zeromq.
+
+Use the predistortion
+----------------------
+
+Make sure you have a ODR-DabMux running with a TCP output on port 9200.
+
+Then run the modulator, with the example dpd configuration file.
+
+```
+./odr-dabmod dpd/dpd.ini
+```
+
+This configuration file is different from usual defaults in several respects:
+
+ * logging to /tmp/dabmod.log
+ * 4x oversampling: 8192000 sample rate
+ * a very small digital gain, which will be overridden by the DPDCE
+ * predistorter enabled
+
+The TX gain should be chosen so that you can drive your amplifier into
+saturation with a digital gain of 0.1, so that there is margin for the DPD to
+operate.
+
+You should *not modify txgain, rxgain, digital gain or coefficient settings manually!*
+When the DPDCE is used, it controls these settings, and there are command line
+options for you to define initial values.
+
+To verify that the communication between the DPDCE and ODR-DabMod is ok,
+you can use the status and reset options:
+
+```
+cd dpd
+python main.py --status
+python main.py --reset
+```
+
+The reset option sets all DPD-related settings to the defaults (as shown in the
+`--help` usage screen) and stops.
+
+When neither `--status` nor `--reset` is given, the DPDCE will run the predistortion
+algorithm. As a first test you should run the DPDCE with the `--plot`
+parameter. It preserves the output power and generates all available
+visualisation plots in the newly created logging directory
+`/tmp/dpd_<time_stamp>`. As the predistortion should increase the peak to
+shoulder ratio, you should select a *txgain* in the ODR-DabMod configuration
+file such that the initial peak-to-soulder ratio visible on your spectrum
+analyser. This way, you will be able to see a the
+change.
+
+```
+cd dpd
+python main.py --plot
+```
+
+The DPDCE now does 10 iterations, and tries to improve the predistortion effectiveness.
+In each step the learning rate is decreased. The learning rate is the factor
+with which new coefficients are weighted in a weighted mean with the old
+coefficients. Moreover the nuber of measurements increases in each iteration.
+You find more information about that in *Heuristic.py*.
+
+Each plot is stored to the logging directory under a filename containing its
+time stamp and its label. Following plots are generated chronologically:
+
+ - ExtractStatistic: Extracted information from one or multiple measurements.
+ - Model\_AM: Fitted function for the amplitudes of the power amplifier against the TX amplitude.
+ - Model\_PM: Fitted function for the phase difference of the power amplifier against the TX amplitude.
+ - adapt.pkl: Contains all settings for the predistortion.
+   You can load them again without doing measurements with the `apply_adapt_dumps.py` script.
+ - MER: Constellation diagram used to calculate the modulation error rate.
+
+After the run you should be able to observe that the peak-to-shoulder
+difference has increased on your spectrum analyzer, similar to the figure below.
+
+Without digital predistortion:
+
+![shoulder_measurement_before](img/shoulder_measurement_before.png)
+
+With digital predistortion, computed by the DPDCE:
+
+![shoulder_measurement_after](img/shoulder_measurement_after.png)
+
+Now see what happens if you apply the predistortions for different TX gains.
+You can either set the TX gain before you start the predistortion or using the
+command line option `--txgain gain`. You can also try to adjust other
+parameters. To see their documentation run `python main.py --help`.
+
+File format for coefficients
+----------------------------
+The coef file contains the polynomial coefficients used in the predistorter.
+The file format is very similar to the filtertaps file used in the FIR filter.
+It is a text-based format that can easily be inspected and edited in a text
+editor.
+
+The first line contains an integer that defines the predistorter to be used:
+1 for polynomial, 2 for lookup table.
+
+For the polynomial, the subsequent line contains the number of coefficients
+as an integer. The second and third lines contain the real, respectively the
+imaginary parts of the first coefficient. Fourth and fifth lines give the
+second coefficient, and so on. The file therefore contains 1 + 1 + 2xN lines if
+it contains N coefficients.
+
+For the lookup table, the subsequent line contains a float scalefactor that is
+applied to the samples in order to bring them into the range of 32-bit unsigned
+integer. Then, the next pair of lines contains real and imaginary part of the first
+lookup-table entry, which is multiplied to samples in first range. Then it's
+followed by 31 other pairs. The entries are complex values close to 1 + 0j.
+The file therefore contains 1 + 1 + 2xN lines if it contains N coefficients.
+
+TODO
+----
+
+ - Understand and fix occasional ODR-DabMod crashes when using DPDCE.
+ - Make the predistortion more robust. At the moment the shoulders sometimes
+   increase instead of decrease after applying newly calculated predistortion
+   parameters. Can this behaviour be predicted from the measurement? This would
+   make it possible to filter out bad predistortion settings.
+ - Find a better measurement for the quality of the predistortion. The USRP
+   might not be good enough to measure large peak-to-shoulder ratios, because
+   the ADC has 12 bits and DAB signals have a large crest factor.
+ - Implement a Volterra polynomial to model the PA. Compared to the current
+   model this would also capture the time dependent behaviour of the PA (memory
+   effects).
+ - Continuously observe DAB signal in frequency domain and make sure the power
+   stays the same. At the moment only the power in the time domain is kept the
+   same.
+ - At the moment we assume that the USRP RX gain has to be larger than 30dB and
+   the received signal should have a median absolute value of 0.05 in order to
+   have a high quality quantization. Do measurements to support or improve
+   this heuristic.
+ - Check if we need to measure MER differently (average over more symbols?)
+ - Is -45dBm the best RX feedback power level?
+
+REFERENCES
+----------
+
+Some papers:
+
+The paper Raich, Qian, Zhou, "Orthogonal Polynomials for Power Amplifier
+Modeling and Predistorter Design" proposes other base polynomials that have
+less numerical instability.
+
+Aladrén, Garcia, Carro, de Mingo, and Sanchez-Perez, "Digital Predistortion
+Based on Zernike Polynomial Functions for RF Nonlinear Power Amplifiers".
+
+Jiang and Wilford, "Digital predistortion for power amplifiers using separable functions"
+
+Changsoo Eun and Edward J. Powers, "A New Volterra Predistorter Based on the Indirect Learning Architecture"
+
+Raviv Raich, Hua Qian, and G. Tong Zhou, "Orthogonal Polynomials for Power Amplifier Modeling and Predistorter Design"
+
+
+Models without memory:
+
+Complex polynomial: y[i] = a1 x[i] + a2 x[i]^2 + a3 x[i]^3 + ...
+
+The complex polynomial corresponds to the input/output relationship that
+applies to the PA in passband (real-valued signal). According to several
+sources, this gets transformed to another representation if we consider complex
+baseband instead. In the following, all variables are complex.
+
+Odd-order baseband: y[i] = (b1 + b2 abs(x[i])^2 + b3 abs(x[i])^4) + ...) x[i]
+
+Complete baseband: y[i] = (b1 + b2 abs(x[i]) + b3 abs(x[i])^2) + ...) x[i]
+
+with
+    b_k = 2^{1-k} \binom{k}{(k-1)/2} a_k
+
+
+Models with memory:
+
+ - Hammerstein model: Nonlinearity followed by LTI filter
+ - Wiener model: LTI filter followed by NL
+ - Parallel Wiener: input goes to N delays, each delay goes to a NL, all NL outputs summed.
+
+Taken from slide 36 of [ECE218C Lecture 15](http://www.ece.ucsb.edu/Faculty/rodwell/Classes/ece218c/notes/Lecture15_Digital%20Predistortion_and_Future%20Challenges.pdf)
+
diff --git a/python/dpd/apply_adapt_dumps.py b/python/dpd/apply_adapt_dumps.py
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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, apply stored configuration.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import glob
+import logging
+
+dt = datetime.datetime.now().isoformat()
+logging.basicConfig(format='%(asctime)s - %(module)s - %(levelname)s - %(message)s',
+                    datefmt='%Y-%m-%d %H:%M:%S',
+                    level=logging.DEBUG)
+
+import src.Adapt as Adapt
+import argparse
+
+parser = argparse.ArgumentParser(
+        description="Load pkl dumps DPD settings into ODR-DabMod")
+parser.add_argument('--port', default=50055, type=int,
+                    help='port of DPD server to connect to (default: 50055)',
+                    required=False)
+parser.add_argument('--rc-port', default=9400, type=int,
+                    help='port of ODR-DabMod ZMQ Remote Control to connect to (default: 9400)',
+                    required=False)
+parser.add_argument('--coefs', default='poly.coef',
+                    help='File with DPD coefficients, which will be read by ODR-DabMod',
+                    required=False)
+parser.add_argument('file', help='File to read the DPD settings from')
+
+cli_args = parser.parse_args()
+
+port = cli_args.port
+port_rc = cli_args.rc_port
+coef_path = cli_args.coefs
+filename = cli_args.file
+
+# No need to initialise a GlobalConfig since adapt only needs this one field
+class DummyConfig:
+    def __init__(self):
+        self.plot_location = None
+
+c = DummyConfig()
+
+adapt = Adapt.Adapt(c, port_rc, coef_path)
+
+print("Loading and applying DPD settings from {}".format(filename))
+adapt.load(filename)
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/dpd.ini b/python/dpd/dpd.ini
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+[remotecontrol]
+telnet=1
+telnetport=2121
+zmqctrl=1
+zmqctrlendpoint=tcp://127.0.0.1:9400
+
+[log]
+syslog=0
+filelog=1
+filename=/tmp/dabmod.log
+
+[input]
+transport=tcp
+source=localhost:9200
+
+[modulator]
+gainmode=var
+rate=8192000
+
+# keep in mind that the DPDCE will set the digital gain through the RC!
+digital_gain=0.001
+
+[firfilter]
+enabled=1
+
+[poly]
+enabled=1
+polycoeffile=dpd/poly.coef
+
+# How many threads to use for the predistorter.
+# If not set, detect automatically.
+#num_threads=2
+
+[output]
+# to prepare a file for the dpd/iq_file_server.py script,
+# use output=file
+output=uhd
+
+[fileoutput]
+filename=dpd.iq
+
+[uhdoutput]
+device=
+master_clock_rate=32768000
+type=b200
+txgain=80
+channel=13C
+refclk_source=internal
+pps_source=none
+behaviour_refclk_lock_lost=ignore
+max_gps_holdover_time=600
+dpd_port=50055
+rxgain=15
+
+[delaymanagement]
+; Use synchronous=1 so that the USRP time is set. This works
+; even in the absence of a reference clk and PPS
+synchronous=1
+mutenotimestamps=1
+offset=4.0
diff --git a/python/dpd/img/setup_diagram.svg b/python/dpd/img/setup_diagram.svg
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+        <text
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diff --git a/python/dpd/img/shoulder_measurement_after.png b/python/dpd/img/shoulder_measurement_after.png
new file mode 100644
index 0000000..2631256
--- /dev/null
+++ b/python/dpd/img/shoulder_measurement_after.png
diff --git a/python/dpd/img/shoulder_measurement_before.png b/python/dpd/img/shoulder_measurement_before.png
new file mode 100644
index 0000000..3581a72
--- /dev/null
+++ b/python/dpd/img/shoulder_measurement_before.png
diff --git a/python/dpd/iq_file_server.py b/python/dpd/iq_file_server.py
new file mode 100755
index 0000000..7a4e570
--- /dev/null
+++ b/python/dpd/iq_file_server.py
@@ -0,0 +1,120 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# This example server simulates the ODR-DabMod's
+# DPD server, taking samples from an IQ file
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import sys
+import socket
+import struct
+import argparse
+import numpy as np
+from datetime import datetime
+
+SIZEOF_SAMPLE = 8 # complex floats
+# Constants for TM 1
+NbSymbols = 76
+NbCarriers = 1536
+Spacing = 2048
+NullSize = 2656
+SymSize = 2552
+FicSizeOut = 288
+FrameSize = NullSize + NbSymbols*SymSize
+
+def main():
+    parser = argparse.ArgumentParser(description="Simulate ODR-DabMod DPD server")
+    parser.add_argument('--port', default='50055',
+            help='port to listen on (default: 50055)',
+            required=False)
+    parser.add_argument('--file', help='I/Q File to read from (complex floats)',
+            required=True)
+    parser.add_argument('--samplerate', default='8192000', help='Sample rate',
+            required=False)
+
+    cli_args = parser.parse_args()
+
+    serve_file(cli_args)
+
+def recv_exact(sock, num_bytes):
+    bufs = []
+    while num_bytes > 0:
+        b = sock.recv(num_bytes)
+        if len(b) == 0:
+            break
+        num_bytes -= len(b)
+        bufs.append(b)
+    return b''.join(bufs)
+
+def serve_file(options):
+    oversampling = int(int(options.samplerate) / 2048000)
+    consumesamples = 8*FrameSize * oversampling
+    iq_data = np.fromfile(options.file, count=consumesamples, dtype=np.complex64)
+
+    print("Loaded {} samples of IQ data".format(len(iq_data)))
+
+    s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    s.bind(('localhost', int(options.port)))
+    s.listen()
+
+    try:
+        while True:
+            sock, addr_info = s.accept()
+            print("Got a connection from {}".format(addr_info))
+
+            ver = recv_exact(sock, 1)
+            (num_samps,) = struct.unpack("=I", recv_exact(sock, 4))
+            num_bytes = num_samps * SIZEOF_SAMPLE
+
+            if num_bytes > len(iq_data):
+                print("Truncating length to {} samples".format(len(iq_data)))
+                num_samps = len(iq_data)
+                num_bytes = num_samps * 4
+
+            tx_sec = datetime.now().timestamp()
+            tx_pps = int(16384000 * (tx_sec - int(tx_sec)))
+            tx_second = int(tx_sec)
+
+            # TX metadata and data
+            sock.sendall(struct.pack("=III", num_samps, tx_second, tx_pps))
+            sock.sendall(iq_data[-num_samps:].tobytes())
+
+            # RX metadata and data
+            rx_second = tx_second + 1
+            rx_pps = tx_pps
+            sock.sendall(struct.pack("=III", num_samps, rx_second, rx_pps))
+            sock.sendall(iq_data[-num_samps:].tobytes())
+
+            print("Sent {} samples".format(num_samps))
+
+            sock.close()
+    finally:
+        s.close()
+        raise
+
+main()
+
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/lut.coef b/python/dpd/lut.coef
new file mode 100644
index 0000000..a198d56
--- /dev/null
+++ b/python/dpd/lut.coef
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diff --git a/python/dpd/main.py b/python/dpd/main.py
new file mode 100755
index 0000000..9ea5a39
--- /dev/null
+++ b/python/dpd/main.py
@@ -0,0 +1,338 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine standalone main file.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+"""This Python script is the main file for ODR-DabMod's DPD Computation Engine running
+in stand-alone mode.
+
+This engine calculates and updates the parameter of the digital
+predistortion module of ODR-DabMod."""
+
+import sys
+import datetime
+import os
+import argparse
+import matplotlib
+
+matplotlib.use('Agg')
+
+parser = argparse.ArgumentParser(
+    description="DPD Computation Engine for ODR-DabMod")
+parser.add_argument('--port', default=50055, type=int,
+                    help='port of DPD server to connect to (default: 50055)',
+                    required=False)
+parser.add_argument('--rc-port', default=9400, type=int,
+                    help='port of ODR-DabMod ZMQ Remote Control to connect to (default: 9400)',
+                    required=False)
+parser.add_argument('--samplerate', default=8192000, type=int,
+                    help='Sample rate',
+                    required=False)
+parser.add_argument('--coefs', default='poly.coef',
+                    help='File with DPD coefficients, which will be read by ODR-DabMod',
+                    required=False)
+parser.add_argument('--txgain', default=-1,
+                    help='TX Gain, -1 to leave unchanged',
+                    required=False,
+                    type=int)
+parser.add_argument('--rxgain', default=30,
+                    help='TX Gain, -1 to leave unchanged',
+                    required=False,
+                    type=int)
+parser.add_argument('--digital_gain', default=0.01,
+                    help='Digital Gain',
+                    required=False,
+                    type=float)
+parser.add_argument('--target_median', default=0.05,
+                    help='The target median for the RX and TX AGC',
+                    required=False,
+                    type=float)
+parser.add_argument('--samps', default='81920', type=int,
+                    help='Number of samples to request from ODR-DabMod',
+                    required=False)
+parser.add_argument('-i', '--iterations', default=10, type=int,
+                    help='Number of iterations to run',
+                    required=False)
+parser.add_argument('-L', '--lut',
+                    help='Use lookup table instead of polynomial predistorter',
+                    action="store_true")
+parser.add_argument('--enable-txgain-agc',
+                    help='Enable the TX gain AGC',
+                    action="store_true")
+parser.add_argument('--plot',
+                    help='Enable all plots, to be more selective choose plots in GlobalConfig.py',
+                    action="store_true")
+parser.add_argument('--name', default="", type=str,
+                    help='Name of the logging directory')
+parser.add_argument('-r', '--reset', action="store_true",
+                    help='Reset the DPD settings to the defaults.')
+parser.add_argument('-s', '--status', action="store_true",
+                    help='Display the currently running DPD settings.')
+parser.add_argument('--measure', action="store_true",
+                    help='Only measure metrics once')
+
+cli_args = parser.parse_args()
+
+port = cli_args.port
+port_rc = cli_args.rc_port
+coef_path = cli_args.coefs
+digital_gain = cli_args.digital_gain
+num_iter = cli_args.iterations
+rxgain = cli_args.rxgain
+txgain = cli_args.txgain
+name = cli_args.name
+plot = cli_args.plot
+
+# Logging
+import logging
+
+# Simple usage scenarios don't need to clutter /tmp
+if not (cli_args.status or cli_args.reset or cli_args.measure):
+    dt = datetime.datetime.now().isoformat()
+    logging_path = '/tmp/dpd_{}'.format(dt).replace('.', '_').replace(':', '-')
+    if name:
+        logging_path += '_' + name
+    print("Logs and plots written to {}".format(logging_path))
+    os.makedirs(logging_path)
+    logging.basicConfig(format='%(asctime)s - %(module)s - %(levelname)s - %(message)s',
+                        datefmt='%Y-%m-%d %H:%M:%S',
+                        filename='{}/dpd.log'.format(logging_path),
+                        filemode='w',
+                        level=logging.DEBUG)
+    # also log up to INFO to console
+    console = logging.StreamHandler()
+    console.setLevel(logging.INFO)
+    # set a format which is simpler for console use
+    formatter = logging.Formatter('%(asctime)s - %(module)s - %(levelname)s - %(message)s')
+    # tell the handler to use this format
+    console.setFormatter(formatter)
+    # add the handler to the root logger
+    logging.getLogger('').addHandler(console)
+else:
+    dt = datetime.datetime.now().isoformat()
+    logging.basicConfig(format='%(asctime)s - %(module)s - %(levelname)s - %(message)s',
+                        datefmt='%Y-%m-%d %H:%M:%S',
+                        level=logging.INFO)
+    logging_path = None
+
+logging.info("DPDCE starting up with options: {}".format(cli_args))
+
+import numpy as np
+import traceback
+from src.Model import Lut, Poly
+import src.Heuristics as Heuristics
+from src.Measure import Measure
+from src.ExtractStatistic import ExtractStatistic
+from src.Adapt import Adapt, dpddata_to_str
+from src.RX_Agc import Agc
+from src.TX_Agc import TX_Agc
+from src.Symbol_align import Symbol_align
+from src.GlobalConfig import GlobalConfig
+from src.MER import MER
+from src.Measure_Shoulders import Measure_Shoulders
+
+c = GlobalConfig(cli_args, logging_path)
+SA = Symbol_align(c)
+MER = MER(c)
+MS = Measure_Shoulders(c)
+meas = Measure(c, cli_args.samplerate, port, cli_args.samps)
+extStat = ExtractStatistic(c)
+adapt = Adapt(c, port_rc, coef_path)
+
+if cli_args.status:
+    txgain = adapt.get_txgain()
+    rxgain = adapt.get_rxgain()
+    digital_gain = adapt.get_digital_gain()
+    dpddata = dpddata_to_str(adapt.get_predistorter())
+
+    logging.info("ODR-DabMod currently running with TXGain {}, RXGain {}, digital gain {} and {}".format(
+        txgain, rxgain, digital_gain, dpddata))
+    sys.exit(0)
+
+if cli_args.lut:
+    model = Lut(c)
+else:
+    model = Poly(c)
+
+# Models have the default settings on startup
+adapt.set_predistorter(model.get_dpd_data())
+adapt.set_digital_gain(digital_gain)
+
+# Set RX Gain
+if rxgain == -1:
+    rxgain = adapt.get_rxgain()
+else:
+    adapt.set_rxgain(rxgain)
+
+# Set TX Gain
+if txgain == -1:
+    txgain = adapt.get_txgain()
+else:
+    adapt.set_txgain(txgain)
+
+tx_gain = adapt.get_txgain()
+rx_gain = adapt.get_rxgain()
+digital_gain = adapt.get_digital_gain()
+
+dpddata = adapt.get_predistorter()
+
+logging.info("TX gain {}, RX gain {}, digital_gain {}, {!s}".format(
+        tx_gain, rx_gain, digital_gain, dpddata_to_str(dpddata)))
+
+if cli_args.reset:
+    logging.info("DPD Settings were reset to default values.")
+    sys.exit(0)
+
+# Automatic Gain Control
+agc = Agc(meas, adapt, c)
+agc.run()
+
+if cli_args.measure:
+    txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
+
+    print("TX signal median {}".format(np.median(np.abs(txframe_aligned))))
+    print("RX signal median {}".format(rx_median))
+
+    tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned)
+
+    off = SA.calc_offset(txframe_aligned)
+    print("off {}".format(off))
+    tx_mer = MER.calc_mer(txframe_aligned[off:off + c.T_U], debug_name='TX')
+    print("tx_mer {}".format(tx_mer))
+    rx_mer = MER.calc_mer(rxframe_aligned[off:off + c.T_U], debug_name='RX')
+    print("rx_mer {}".format(rx_mer))
+
+    mse = np.mean(np.abs((txframe_aligned - rxframe_aligned) ** 2))
+    print("mse {}".format(mse))
+
+    digital_gain = adapt.get_digital_gain()
+    print("digital_gain {}".format(digital_gain))
+
+    #rx_shoulder_tuple = MS.average_shoulders(rxframe_aligned)
+    #tx_shoulder_tuple = MS.average_shoulders(txframe_aligned)
+    sys.exit(0)
+
+# Disable TXGain AGC by default, so that the experiments are controlled
+# better.
+tx_agc = None
+if cli_args.enable_txgain_agc:
+    tx_agc = TX_Agc(adapt, c)
+
+state = 'report'
+i = 0
+lr = None
+n_meas = None
+while i < num_iter:
+    try:
+        # Measure
+        if state == 'measure':
+            # Get Samples and check gain
+            txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
+            if tx_agc and tx_agc.adapt_if_necessary(txframe_aligned):
+                continue
+
+            # Extract usable data from measurement
+            tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned)
+
+            n_meas = Heuristics.get_n_meas(i)
+            if extStat.n_meas >= n_meas:  # Use as many measurements nr of runs
+                state = 'model'
+            else:
+                state = 'measure'
+
+        # Model
+        elif state == 'model':
+            # Calculate new model parameters and delete old measurements
+            if any([x is None for x in [tx, rx, phase_diff]]):
+                logging.error("No data to calculate model")
+                state = 'measure'
+                continue
+
+            lr = Heuristics.get_learning_rate(i)
+            model.train(tx, rx, phase_diff, lr=lr)
+            dpddata = model.get_dpd_data()
+            extStat = ExtractStatistic(c)
+            state = 'adapt'
+
+        # Adapt
+        elif state == 'adapt':
+            adapt.set_predistorter(dpddata)
+            state = 'report'
+
+        # Report
+        elif state == 'report':
+            try:
+                txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
+
+                # Store all settings for pre-distortion, tx and rx
+                adapt.dump()
+
+                # Collect logging data
+                off = SA.calc_offset(txframe_aligned)
+                tx_mer = MER.calc_mer(txframe_aligned[off:off + c.T_U], debug_name='TX')
+                rx_mer = MER.calc_mer(rxframe_aligned[off:off + c.T_U], debug_name='RX')
+                mse = np.mean(np.abs((txframe_aligned - rxframe_aligned) ** 2))
+                tx_gain = adapt.get_txgain()
+                rx_gain = adapt.get_rxgain()
+                digital_gain = adapt.get_digital_gain()
+                tx_median = np.median(np.abs(txframe_aligned))
+                rx_shoulder_tuple = MS.average_shoulders(rxframe_aligned)
+                tx_shoulder_tuple = MS.average_shoulders(txframe_aligned)
+
+                # Generic logging
+                logging.info(list((name, eval(name)) for name in
+                                  ['i', 'tx_mer', 'tx_shoulder_tuple', 'rx_mer',
+                                   'rx_shoulder_tuple', 'mse', 'tx_gain',
+                                   'digital_gain', 'rx_gain', 'rx_median',
+                                   'tx_median', 'lr', 'n_meas']))
+
+                # Model specific logging
+                if dpddata[0] == 'poly':
+                    coefs_am = dpddata[1]
+                    coefs_pm = dpddata[2]
+                    logging.info('It {}: coefs_am {}'.
+                                 format(i, coefs_am))
+                    logging.info('It {}: coefs_pm {}'.
+                                 format(i, coefs_pm))
+                elif dpddata[0] == 'lut':
+                    scalefactor = dpddata[1]
+                    lut = dpddata[2]
+                    logging.info('It {}: LUT scalefactor {}, LUT {}'.
+                                 format(i, scalefactor, lut))
+            except:
+                logging.error('Iteration {}: Report failed.'.format(i))
+                logging.error(traceback.format_exc())
+            i += 1
+            state = 'measure'
+
+    except:
+        logging.error('Iteration {} failed.'.format(i))
+        logging.error(traceback.format_exc())
+        i += 1
+        state = 'measure'
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/poly.coef b/python/dpd/poly.coef
new file mode 100644
index 0000000..248d316
--- /dev/null
+++ b/python/dpd/poly.coef
@@ -0,0 +1,12 @@
+1
+5
+1.0
+0.0
+0.0
+0.0
+0.0
+0.0
+0.0
+0.0
+0.0
+0.0
diff --git a/python/dpd/show_spectrum.py b/python/dpd/show_spectrum.py
new file mode 100755
index 0000000..f23dba2
--- /dev/null
+++ b/python/dpd/show_spectrum.py
@@ -0,0 +1,276 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# This is an example tool that shows how to connect to ODR-DabMod's dpd TCP
+# server and get samples from there.
+#
+# Since the TX and RX samples are not perfectly aligned, the tool has to align
+# them properly, which is done in two steps: First on sample-level using a
+# correlation, then with subsample accuracy using a FFT approach.
+#
+# It requires SciPy and matplotlib.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import sys
+import socket
+import struct
+import numpy as np
+import matplotlib.pyplot as pp
+from matplotlib.animation import FuncAnimation
+import argparse
+from scipy.misc import imsave
+
+SIZEOF_SAMPLE = 8 # complex floats
+
+# Constants for TM 1
+NbSymbols = 76
+NbCarriers = 1536
+Spacing = 2048
+NullSize = 2656
+SymSize = 2552
+FicSizeOut = 288
+
+def main():
+    parser = argparse.ArgumentParser(description="Plot the spectrum of ODR-DabMod's DPD feedback")
+    parser.add_argument('--samps', default='10240', help='Number of samples to request at once',
+            required=False)
+    parser.add_argument('--port', default='50055',
+            help='port to connect to ODR-DabMod DPD (default: 50055)',
+            required=False)
+    parser.add_argument('--animated', action='store_true', help='Enable real-time animation')
+    parser.add_argument('--constellation', action='store_true', help='Draw constellaton plot')
+    parser.add_argument('--samplerate', default='8192000', help='Sample rate',
+            required=False)
+
+    cli_args = parser.parse_args()
+
+    if cli_args.constellation:
+        plot_constellation_once(cli_args)
+    elif cli_args.animated:
+        plot_spectrum_animated(cli_args)
+    else:
+        plot_spectrum_once(cli_args)
+
+def recv_exact(sock, num_bytes):
+    bufs = []
+    while num_bytes > 0:
+        b = sock.recv(num_bytes)
+        if len(b) == 0:
+            break
+        num_bytes -= len(b)
+        bufs.append(b)
+    return b''.join(bufs)
+
+def get_samples(port, num_samps_to_request):
+    """Connect to ODR-DabMod, retrieve TX and RX samples, load
+    into numpy arrays, and return a tuple
+    (tx_timestamp, tx_samples, rx_timestamp, rx_samples)
+    where the timestamps are doubles, and the samples are numpy
+    arrays of complex floats, both having the same size
+    """
+
+    s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    s.connect(('localhost', port))
+
+    print("Send version");
+    s.sendall(b"\x01")
+
+    print("Send request for {} samples".format(num_samps_to_request))
+    s.sendall(struct.pack("=I", num_samps_to_request))
+
+    print("Wait for TX metadata")
+    num_samps, tx_second, tx_pps = struct.unpack("=III", recv_exact(s, 12))
+    tx_ts = tx_second + tx_pps / 16384000.0
+
+    if num_samps > 0:
+        print("Receiving {} TX samples".format(num_samps))
+        txframe_bytes = recv_exact(s, num_samps * SIZEOF_SAMPLE)
+        txframe = np.fromstring(txframe_bytes, dtype=np.complex64)
+    else:
+        txframe = np.array([], dtype=np.complex64)
+
+
+    print("Wait for RX metadata")
+    rx_second, rx_pps = struct.unpack("=II", recv_exact(s, 8))
+    rx_ts = rx_second + rx_pps / 16384000.0
+
+    if num_samps > 0:
+        print("Receiving {} RX samples".format(num_samps))
+        rxframe_bytes = recv_exact(s, num_samps * SIZEOF_SAMPLE)
+        rxframe = np.fromstring(rxframe_bytes, dtype=np.complex64)
+    else:
+        rxframe = np.array([], dtype=np.complex64)
+
+    print("Disconnecting")
+    s.close()
+
+    return (tx_ts, txframe, rx_ts, rxframe)
+
+def recv_rxtx(port, num_samps_to_request):
+    tx_ts, txframe, rx_ts, rxframe = get_samples(port, num_samps_to_request)
+
+    # convert to complex doubles for more dynamic range
+    txframe = txframe.astype(np.complex128)
+    rxframe = rxframe.astype(np.complex128)
+
+    print("Received {} & {} frames at {} and {}".format(
+        len(txframe), len(rxframe), tx_ts, rx_ts))
+    return tx_ts, txframe, rx_ts, rxframe
+
+def get_spectrum(port, num_samps_to_request):
+    tx_ts, txframe, rx_ts, rxframe = recv_rxtx(port, num_samps_to_request)
+
+    print("Calculate TX and RX spectrum assuming 8192000 samples per second")
+    tx_spectrum = np.fft.fftshift(np.fft.fft(txframe, fft_size))
+    tx_power = 20*np.log10(np.abs(tx_spectrum))
+
+    rx_spectrum = np.fft.fftshift(np.fft.fft(rxframe, fft_size))
+    rx_power = 20*np.log10(np.abs(rx_spectrum))
+    return tx_power, rx_power
+
+def remove_guard_intervals(frame, options):
+    """Remove the cyclic prefix. The frame needs to be aligned to the
+    end of the transmission frame. Transmission Mode 1 is assumed"""
+    oversample = int(int(options.samplerate) / 2048000)
+
+    # From the end, take 2048 samples, then skip 504 samples
+    frame = frame[::-1]
+
+    stride_len = Spacing * oversample
+    stride_advance = SymSize * oversample
+
+    # Truncate the frame to an integer length of strides
+    newlen = len(frame) - (len(frame) % stride_advance)
+    print("Truncating frame from {} to {}".format(len(frame), newlen))
+    frame = frame[:newlen]
+
+    # Remove the cyclic prefix
+    frame = frame.reshape(-1, stride_advance)[:,:stride_len].reshape(-1)
+
+    # Reverse again
+    return frame[::-1]
+
+
+def plot_constellation_once(options):
+    port = int(options.port)
+    num_samps_to_request = int(options.samps)
+
+    tx_ts, txframe, rx_ts, rxframe = recv_rxtx(port, num_samps_to_request)
+
+    frame = remove_guard_intervals(txframe, options)
+
+    oversample = int(int(options.samplerate) / 2048000)
+
+    n = Spacing * oversample # is also number of samples per symbol
+    if len(frame) % n != 0:
+        raise ValueError("Frame length doesn't contain exact number of symbols")
+    num_syms = int(len(frame) / n)
+    print("frame {} has {} symbols".format(len(frame), num_syms))
+    spectrums = np.array([np.fft.fftshift(np.fft.fft(frame[n*i:n*(i+1)], n)) for i in range(num_syms)])
+
+    def normalise(x):
+        """Normalise a real-valued array x to the range [0,1]"""
+        y = x + np.min(x)
+        return x / np.max(x)
+
+    imsave("spectrums.png", np.concatenate([
+        normalise(np.abs(spectrums)),
+        normalise(np.angle(spectrums))]))
+
+    # Only take bins that are supposed to contain energy
+    # i.e. the middle 1536 bins, excluding the bin at n/2
+    assert(n % 2 == 0)
+    n_half = int(n/2)
+    spectrums = np.concatenate(
+            [spectrums[...,n_half-768:n_half],
+             spectrums[...,n_half + 1:n_half + 769]], axis=1)
+
+    sym_indices = (np.tile(np.arange(num_syms-1).reshape(num_syms-1,1), (1,NbCarriers)) +
+                   np.tile(np.linspace(-0.4, 0.4, NbCarriers), (num_syms-1, 1) ) )
+    sym_indices = sym_indices.reshape(-1)
+    diff_angles = np.mod(np.diff(np.angle(spectrums, deg=1), axis=0), 360)
+    #sym_points = spectrums[:-1].reshape(-1)
+    # Set amplitude and phase of low power points to zero, avoid cluttering diagram
+    #sym_points[np.abs(sym_points) < np.mean(np.abs(sym_points)) * 0.1] = 0
+
+    print("ix {}  spec {} da {}".format(
+        sym_indices.shape, spectrums.shape, diff_angles.shape))
+
+    fig = pp.figure()
+
+    fig.suptitle("Constellation")
+    ax1 = fig.add_subplot(111)
+    ax1.set_title("TX")
+    ax1.scatter(sym_indices, diff_angles.reshape(-1), alpha=0.1)
+
+    pp.show()
+
+fft_size = 4096
+
+def plot_spectrum_once(options):
+    port = int(options.port)
+    num_samps_to_request = int(options.samps)
+    freqs = np.fft.fftshift(np.fft.fftfreq(fft_size, d=1./int(options.samplerate)))
+
+    tx_power, rx_power = get_spectrum(port, num_samps_to_request)
+    fig = pp.figure()
+
+    fig.suptitle("TX and RX spectrum")
+    ax1 = fig.add_subplot(211)
+    ax1.set_title("TX")
+    ax1.plot(freqs, tx_power, 'r')
+    ax2 = fig.add_subplot(212)
+    ax2.set_title("RX")
+    ax2.plot(freqs, rx_power, 'b')
+    pp.show()
+
+def plot_spectrum_animated(options):
+    port = int(options.port)
+    num_samps_to_request = int(options.samps)
+    freqs = np.fft.fftshift(np.fft.fftfreq(fft_size, d=1./int(options.samplerate)))
+
+    fig, axes = pp.subplots(2, sharex=True)
+    line1, = axes[0].plot(freqs, np.ones(len(freqs)), 'r', animated=True)
+    axes[0].set_title("TX")
+    line2, = axes[1].plot(freqs, np.ones(len(freqs)), 'b', animated=True)
+    axes[1].set_title("RX")
+    lines = [line1, line2]
+
+    axes[0].set_ylim(-30, 50)
+    axes[1].set_ylim(-60, 40)
+
+    def update(frame):
+        tx_power, rx_power = get_spectrum(port, num_samps_to_request)
+
+        lines[0].set_ydata(tx_power)
+        lines[1].set_ydata(rx_power)
+        return lines
+
+    ani = FuncAnimation(fig, update, blit=True)
+    pp.show()
+
+main()
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Adapt.py b/python/dpd/src/Adapt.py
new file mode 100644
index 0000000..a57602f
--- /dev/null
+++ b/python/dpd/src/Adapt.py
@@ -0,0 +1,286 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine: updates ODR-DabMod's settings
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+"""
+This module is used to change settings of ODR-DabMod using
+the ZMQ remote control socket.
+"""
+
+import zmq
+import logging
+import numpy as np
+import os
+import datetime
+import pickle
+
+LUT_LEN = 32
+FORMAT_POLY = 1
+FORMAT_LUT = 2
+
+
+def _write_poly_coef_file(coefs_am, coefs_pm, path):
+    assert (len(coefs_am) == len(coefs_pm))
+
+    f = open(path, 'w')
+    f.write("{}\n{}\n".format(FORMAT_POLY, len(coefs_am)))
+    for coef in coefs_am:
+        f.write("{}\n".format(coef))
+    for coef in coefs_pm:
+        f.write("{}\n".format(coef))
+    f.close()
+
+
+def _write_lut_file(scalefactor, lut, path):
+    assert (len(lut) == LUT_LEN)
+
+    f = open(path, 'w')
+    f.write("{}\n{}\n".format(FORMAT_LUT, scalefactor))
+    for coef in lut:
+        f.write("{}\n{}\n".format(coef.real, coef.imag))
+    f.close()
+
+def dpddata_to_str(dpddata):
+    if dpddata[0] == "poly":
+        coefs_am = dpddata[1]
+        coefs_pm = dpddata[2]
+        return "dpd_coefs_am {}, dpd_coefs_pm {}".format(
+                coefs_am, coefs_pm)
+    elif dpddata[0] == "lut":
+        scalefactor = dpddata[1]
+        lut = dpddata[2]
+        return "LUT scalefactor {}, LUT {}".format(
+                scalefactor, lut)
+    else:
+        raise ValueError("Unknown dpddata type {}".format(dpddata[0]))
+
+class Adapt:
+    """Uses the ZMQ remote control to change parameters of the DabMod
+
+    Parameters
+    ----------
+    port : int
+        Port at which the ODR-DabMod is listening to connect the
+        ZMQ remote control.
+    """
+
+    def __init__(self, config, port, coef_path):
+        logging.debug("Instantiate Adapt object")
+        self.c = config
+        self.port = port
+        self.coef_path = coef_path
+        self.host = "localhost"
+        self._context = zmq.Context()
+
+    def _connect(self):
+        """Establish the connection to ODR-DabMod using
+        a ZMQ socket that is in request mode (Client).
+        Returns a socket"""
+        sock = self._context.socket(zmq.REQ)
+        poller = zmq.Poller()
+        poller.register(sock, zmq.POLLIN)
+
+        sock.connect("tcp://%s:%d" % (self.host, self.port))
+
+        sock.send(b"ping")
+
+        socks = dict(poller.poll(1000))
+        if socks:
+            if socks.get(sock) == zmq.POLLIN:
+                data = [el.decode() for el in sock.recv_multipart()]
+
+                if data != ['ok']:
+                    raise RuntimeError(
+                        "Invalid ZMQ RC answer to 'ping' at %s %d: %s" %
+                        (self.host, self.port, data))
+        else:
+            sock.close(linger=10)
+            raise RuntimeError(
+                    "ZMQ RC does not respond to 'ping' at %s %d" %
+                        (self.host, self.port))
+
+        return sock
+
+    def send_receive(self, message):
+        """Send a message to ODR-DabMod. It always
+        returns the answer ODR-DabMod sends back.
+
+        An example message could be
+        "get sdr txgain" or "set sdr txgain 50"
+
+        Parameter
+        ---------
+        message : str
+            The message string that will be sent to the receiver.
+        """
+        sock = self._connect()
+        logging.debug("Send message: %s" % message)
+        msg_parts = message.split(" ")
+        for i, part in enumerate(msg_parts):
+            if i == len(msg_parts) - 1:
+                f = 0
+            else:
+                f = zmq.SNDMORE
+
+            sock.send(part.encode(), flags=f)
+
+        data = [el.decode() for el in sock.recv_multipart()]
+        logging.debug("Received message: %s" % message)
+        return data
+
+    def set_txgain(self, gain):
+        """Set a new txgain for the ODR-DabMod.
+
+        Parameters
+        ----------
+        gain : int
+            new TX gain, in the same format as ODR-DabMod's config file
+        """
+        # TODO this is specific to the B200
+        if gain < 0 or gain > 89:
+            raise ValueError("Gain has to be in [0,89]")
+        return self.send_receive("set sdr txgain %.4f" % float(gain))
+
+    def get_txgain(self):
+        """Get the txgain value in dB for the ODR-DabMod."""
+        # TODO handle failure
+        return float(self.send_receive("get sdr txgain")[0])
+
+    def set_rxgain(self, gain):
+        """Set a new rxgain for the ODR-DabMod.
+
+        Parameters
+        ----------
+        gain : int
+            new RX gain, in the same format as ODR-DabMod's config file
+        """
+        # TODO this is specific to the B200
+        if gain < 0 or gain > 89:
+            raise ValueError("Gain has to be in [0,89]")
+        return self.send_receive("set sdr rxgain %.4f" % float(gain))
+
+    def get_rxgain(self):
+        """Get the rxgain value in dB for the ODR-DabMod."""
+        # TODO handle failure
+        return float(self.send_receive("get sdr rxgain")[0])
+
+    def set_digital_gain(self, gain):
+        """Set a new rxgain for the ODR-DabMod.
+
+        Parameters
+        ----------
+        gain : int
+            new RX gain, in the same format as ODR-DabMod's config file
+        """
+        msg = "set gain digital %.5f" % gain
+        return self.send_receive(msg)
+
+    def get_digital_gain(self):
+        """Get the rxgain value in dB for the ODR-DabMod."""
+        # TODO handle failure
+        return float(self.send_receive("get gain digital")[0])
+
+    def get_predistorter(self):
+        """Load the coefficients from the file in the format given in the README,
+        return ("poly", [AM coef], [PM coef]) or ("lut", scalefactor, [LUT entries])
+        """
+        f = open(self.coef_path, 'r')
+        lines = f.readlines()
+        predistorter_format = int(lines[0])
+        if predistorter_format == FORMAT_POLY:
+            coefs_am_out = []
+            coefs_pm_out = []
+            n_coefs = int(lines[1])
+            coefs = [float(l) for l in lines[2:]]
+            i = 0
+            for c in coefs:
+                if i < n_coefs:
+                    coefs_am_out.append(c)
+                elif i < 2 * n_coefs:
+                    coefs_pm_out.append(c)
+                else:
+                    raise ValueError(
+                        'Incorrect coef file format: too many'
+                        ' coefficients in {}, should be {}, coefs are {}'
+                            .format(self.coef_path, n_coefs, coefs))
+                i += 1
+            f.close()
+            return 'poly', coefs_am_out, coefs_pm_out
+        elif predistorter_format == FORMAT_LUT:
+            scalefactor = int(lines[1])
+            coefs = np.array([float(l) for l in lines[2:]], dtype=np.float32)
+            coefs = coefs.reshape((-1, 2))
+            lut = coefs[..., 0] + 1j * coefs[..., 1]
+            if len(lut) != LUT_LEN:
+                raise ValueError("Incorrect number of LUT entries ({} expected {})".format(len(lut), LUT_LEN))
+            return 'lut', scalefactor, lut
+        else:
+            raise ValueError("Unknown predistorter format {}".format(predistorter_format))
+
+    def set_predistorter(self, dpddata):
+        """Update the predistorter data in the modulator. Takes the same
+        tuple format as argument than the one returned get_predistorter()"""
+        if dpddata[0] == "poly":
+            coefs_am = dpddata[1]
+            coefs_pm = dpddata[2]
+            _write_poly_coef_file(coefs_am, coefs_pm, self.coef_path)
+        elif dpddata[0] == "lut":
+            scalefactor = dpddata[1]
+            lut = dpddata[2]
+            _write_lut_file(scalefactor, lut, self.coef_path)
+        else:
+            raise ValueError("Unknown predistorter '{}'".format(dpddata[0]))
+        self.send_receive("set memlesspoly coeffile {}".format(self.coef_path))
+
+    def dump(self, path=None):
+        """Backup current settings to a file"""
+        dt = datetime.datetime.now().isoformat()
+        if path is None:
+            if self.c.plot_location is not None:
+                path = self.c.plot_location + "/" + dt + "_adapt.pkl"
+            else:
+                raise Exception("Cannot dump Adapt without either plot_location or path set")
+        d = {
+            "txgain": self.get_txgain(),
+            "rxgain": self.get_rxgain(),
+            "digital_gain": self.get_digital_gain(),
+            "predistorter": self.get_predistorter()
+        }
+        with open(path, "wb") as f:
+            pickle.dump(d, f)
+
+        return path
+
+    def load(self, path):
+        """Restore settings from a file"""
+        with open(path, "rb") as f:
+            d = pickle.load(f)
+
+            self.set_txgain(d["txgain"])
+            self.set_digital_gain(d["digital_gain"])
+            self.set_rxgain(d["rxgain"])
+            self.set_predistorter(d["predistorter"])
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger, Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Dab_Util.py b/python/dpd/src/Dab_Util.py
new file mode 100644
index 0000000..bc89a39
--- /dev/null
+++ b/python/dpd/src/Dab_Util.py
@@ -0,0 +1,246 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, utilities for working with DAB signals.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import numpy as np
+import matplotlib
+
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+import src.subsample_align as sa
+import src.phase_align as pa
+from scipy import signal
+
+
+def fromfile(filename, offset=0, length=None):
+    if length is None:
+        return np.memmap(filename, dtype=np.complex64, mode='r', offset=64 / 8 * offset)
+    else:
+        return np.memmap(filename, dtype=np.complex64, mode='r', offset=64 / 8 * offset, shape=length)
+
+
+class Dab_Util:
+    """Collection of methods that can be applied to an array
+     complex IQ samples of a DAB signal
+     """
+
+    def __init__(self, config, sample_rate, plot=False):
+        """
+        :param sample_rate: sample rate [sample/sec] to use for calculations
+        """
+        self.c = config
+        self.sample_rate = sample_rate
+        self.dab_bandwidth = 1536000  # Bandwidth of a dab signal
+        self.frame_ms = 96  # Duration of a Dab frame
+
+        self.plot = plot
+
+    def lag(self, sig_orig, sig_rec):
+        """
+        Find lag between two signals
+        Args:
+            sig_orig: The signal that has been sent
+            sig_rec: The signal that has been recored
+        """
+        off = sig_rec.shape[0]
+        c = np.abs(signal.correlate(sig_orig, sig_rec))
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            corr_path = self.c.plot_location + "/" + dt + "_tx_rx_corr.png"
+            plt.plot(c, label="corr")
+            plt.legend()
+            plt.savefig(corr_path)
+            plt.close()
+
+        return np.argmax(c) - off + 1
+
+    def lag_upsampling(self, sig_orig, sig_rec, n_up):
+        if n_up != 1:
+            sig_orig_up = signal.resample(sig_orig, sig_orig.shape[0] * n_up)
+            sig_rec_up = signal.resample(sig_rec, sig_rec.shape[0] * n_up)
+        else:
+            sig_orig_up = sig_orig
+            sig_rec_up = sig_rec
+        l = self.lag(sig_orig_up, sig_rec_up)
+        l_orig = float(l) / n_up
+        return l_orig
+
+    def subsample_align_upsampling(self, sig_tx, sig_rx, n_up=32):
+        """
+        Returns an aligned version of sig_tx and sig_rx by cropping and subsample alignment
+        Using upsampling
+        """
+        assert (sig_tx.shape[0] == sig_rx.shape[0])
+
+        if sig_tx.shape[0] % 2 == 1:
+            sig_tx = sig_tx[:-1]
+            sig_rx = sig_rx[:-1]
+
+        sig1_up = signal.resample(sig_tx, sig_tx.shape[0] * n_up)
+        sig2_up = signal.resample(sig_rx, sig_rx.shape[0] * n_up)
+
+        off_meas = self.lag_upsampling(sig2_up, sig1_up, n_up=1)
+        off = int(abs(off_meas))
+
+        if off_meas > 0:
+            sig1_up = sig1_up[:-off]
+            sig2_up = sig2_up[off:]
+        elif off_meas < 0:
+            sig1_up = sig1_up[off:]
+        sig2_up = sig2_up[:-off]
+
+        sig_tx = signal.resample(sig1_up, sig1_up.shape[0] / n_up).astype(np.complex64)
+        sig_rx = signal.resample(sig2_up, sig2_up.shape[0] / n_up).astype(np.complex64)
+        return sig_tx, sig_rx
+
+    def subsample_align(self, sig_tx, sig_rx):
+        """
+        Returns an aligned version of sig_tx and sig_rx by cropping and subsample alignment
+        """
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_sync_raw.png"
+
+            fig, axs = plt.subplots(2)
+            axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
+            axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
+            axs[0].set_title("Raw Data")
+            axs[0].set_ylabel("Amplitude")
+            axs[0].set_xlabel("Samples")
+            axs[0].legend(loc=4)
+
+            axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
+            axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
+            axs[1].set_title("Raw Data")
+            axs[1].set_ylabel("Real Part")
+            axs[1].set_xlabel("Samples")
+            axs[1].legend(loc=4)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+        off_meas = self.lag_upsampling(sig_rx, sig_tx, n_up=1)
+        off = int(abs(off_meas))
+
+        logging.debug("sig_tx_orig: {} {}, sig_rx_orig: {} {}, offset {}".format(
+            len(sig_tx),
+            sig_tx.dtype,
+            len(sig_rx),
+            sig_rx.dtype,
+            off_meas))
+
+        if off_meas > 0:
+            sig_tx = sig_tx[:-off]
+            sig_rx = sig_rx[off:]
+        elif off_meas < 0:
+            sig_tx = sig_tx[off:]
+            sig_rx = sig_rx[:-off]
+
+        if off % 2 == 1:
+            sig_tx = sig_tx[:-1]
+            sig_rx = sig_rx[:-1]
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_sync_sample_aligned.png"
+
+            fig, axs = plt.subplots(2)
+            axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
+            axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
+            axs[0].set_title("Sample Aligned Data")
+            axs[0].set_ylabel("Amplitude")
+            axs[0].set_xlabel("Samples")
+            axs[0].legend(loc=4)
+
+            axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
+            axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
+            axs[1].set_ylabel("Real Part")
+            axs[1].set_xlabel("Samples")
+            axs[1].legend(loc=4)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+        sig_rx = sa.subsample_align(sig_rx, sig_tx)
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_sync_subsample_aligned.png"
+
+            fig, axs = plt.subplots(2)
+            axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
+            axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
+            axs[0].set_title("Subsample Aligned")
+            axs[0].set_ylabel("Amplitude")
+            axs[0].set_xlabel("Samples")
+            axs[0].legend(loc=4)
+
+            axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
+            axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
+            axs[1].set_ylabel("Real Part")
+            axs[1].set_xlabel("Samples")
+            axs[1].legend(loc=4)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+        sig_rx = pa.phase_align(sig_rx, sig_tx)
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_sync_phase_aligned.png"
+
+            fig, axs = plt.subplots(2)
+            axs[0].plot(np.abs(sig_tx[:128]), label="TX Frame")
+            axs[0].plot(np.abs(sig_rx[:128]), label="RX Frame")
+            axs[0].set_title("Phase Aligned")
+            axs[0].set_ylabel("Amplitude")
+            axs[0].set_xlabel("Samples")
+            axs[0].legend(loc=4)
+
+            axs[1].plot(np.real(sig_tx[:128]), label="TX Frame")
+            axs[1].plot(np.real(sig_rx[:128]), label="RX Frame")
+            axs[1].set_ylabel("Real Part")
+            axs[1].set_xlabel("Samples")
+            axs[1].legend(loc=4)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+        logging.debug(
+            "Sig1_cut: %d %s, Sig2_cut: %d %s, off: %d" % (len(sig_tx), sig_tx.dtype, len(sig_rx), sig_rx.dtype, off))
+        return sig_tx, sig_rx
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/ExtractStatistic.py b/python/dpd/src/ExtractStatistic.py
new file mode 100644
index 0000000..639513a
--- /dev/null
+++ b/python/dpd/src/ExtractStatistic.py
@@ -0,0 +1,196 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine,
+# Extract statistic from received TX and RX data to use in Model
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime
+import os
+import logging
+
+
+def _check_input_extract(tx_dpd, rx_received):
+    # Check data type
+    assert tx_dpd[0].dtype == np.complex64, \
+        "tx_dpd is not complex64 but {}".format(tx_dpd[0].dtype)
+    assert rx_received[0].dtype == np.complex64, \
+        "rx_received is not complex64 but {}".format(rx_received[0].dtype)
+    # Check if signals have same normalization
+    normalization_error = np.abs(np.median(np.abs(tx_dpd)) -
+                                 np.median(np.abs(rx_received))) / (
+                              np.median(np.abs(tx_dpd)) + np.median(np.abs(rx_received)))
+    assert normalization_error < 0.01, "Non normalized signals"
+
+
+def _phase_diff_value_per_bin(phase_diffs_values_lists):
+    phase_list = []
+    for values in phase_diffs_values_lists:
+        mean = np.mean(values) if len(values) > 0 else np.nan
+        phase_list.append(mean)
+    return phase_list
+
+
+class ExtractStatistic:
+    """Calculate a low variance RX value for equally spaced tx values
+    of a predefined range"""
+
+    def __init__(self, c):
+        self.c = c
+
+        # Number of measurements used to extract the statistic
+        self.n_meas = 0
+
+        # Boundaries for the bins
+        self.tx_boundaries = np.linspace(c.ES_start, c.ES_end, c.ES_n_bins + 1)
+        self.n_per_bin = c.ES_n_per_bin
+
+        # List of rx values for each bin
+        self.rx_values_lists = []
+        for i in range(c.ES_n_bins):
+            self.rx_values_lists.append([])
+
+        # List of tx values for each bin
+        self.tx_values_lists = []
+        for i in range(c.ES_n_bins):
+            self.tx_values_lists.append([])
+
+        self.plot = c.ES_plot
+
+    def _plot_and_log(self, tx_values, rx_values, phase_diffs_values, phase_diffs_values_lists):
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_ExtractStatistic.png"
+            sub_rows = 3
+            sub_cols = 1
+            fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6))
+            i_sub = 0
+
+            i_sub += 1
+            ax = plt.subplot(sub_rows, sub_cols, i_sub)
+            ax.plot(tx_values, rx_values,
+                    label="Estimated Values",
+                    color="red")
+            for i, tx_value in enumerate(tx_values):
+                rx_values_list = self.rx_values_lists[i]
+                ax.scatter(np.ones(len(rx_values_list)) * tx_value,
+                           np.abs(rx_values_list),
+                           s=0.1,
+                           color="black")
+            ax.set_title("Extracted Statistic")
+            ax.set_xlabel("TX Amplitude")
+            ax.set_ylabel("RX Amplitude")
+            ax.set_ylim(0, 0.8)
+            ax.set_xlim(0, 1.1)
+            ax.legend(loc=4)
+
+            i_sub += 1
+            ax = plt.subplot(sub_rows, sub_cols, i_sub)
+            ax.plot(tx_values, np.rad2deg(phase_diffs_values),
+                    label="Estimated Values",
+                    color="red")
+            for i, tx_value in enumerate(tx_values):
+                phase_diff = phase_diffs_values_lists[i]
+                ax.scatter(np.ones(len(phase_diff)) * tx_value,
+                           np.rad2deg(phase_diff),
+                           s=0.1,
+                           color="black")
+            ax.set_xlabel("TX Amplitude")
+            ax.set_ylabel("Phase Difference")
+            ax.set_ylim(-60, 60)
+            ax.set_xlim(0, 1.1)
+            ax.legend(loc=4)
+
+            num = []
+            for i, tx_value in enumerate(tx_values):
+                rx_values_list = self.rx_values_lists[i]
+                num.append(len(rx_values_list))
+            i_sub += 1
+            ax = plt.subplot(sub_rows, sub_cols, i_sub)
+            ax.plot(num)
+            ax.set_xlabel("TX Amplitude")
+            ax.set_ylabel("Number of Samples")
+            ax.set_ylim(0, self.n_per_bin * 1.2)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+    def _rx_value_per_bin(self):
+        rx_values = []
+        for values in self.rx_values_lists:
+            mean = np.mean(np.abs(values)) if len(values) > 0 else np.nan
+            rx_values.append(mean)
+        return rx_values
+
+    def _tx_value_per_bin(self):
+        tx_values = []
+        for start, end in zip(self.tx_boundaries, self.tx_boundaries[1:]):
+            tx_values.append(np.mean((start, end)))
+        return tx_values
+
+    def _phase_diff_list_per_bin(self):
+        phase_values_lists = []
+        for tx_list, rx_list in zip(self.tx_values_lists, self.rx_values_lists):
+            phase_diffs = []
+            for tx, rx in zip(tx_list, rx_list):
+                phase_diffs.append(np.angle(rx * tx.conjugate()))
+            phase_values_lists.append(phase_diffs)
+        return phase_values_lists
+
+    def extract(self, tx_dpd, rx):
+        """Extract information from a new measurement and store them
+        in member variables."""
+        _check_input_extract(tx_dpd, rx)
+        self.n_meas += 1
+
+        tx_abs = np.abs(tx_dpd)
+        for i, (tx_start, tx_end) in enumerate(zip(self.tx_boundaries, self.tx_boundaries[1:])):
+            mask = (tx_abs > tx_start) & (tx_abs < tx_end)
+            n_add = max(0, self.n_per_bin - len(self.rx_values_lists[i]))
+            self.rx_values_lists[i] += \
+                list(rx[mask][:n_add])
+            self.tx_values_lists[i] += \
+                list(tx_dpd[mask][:n_add])
+
+        rx_values = self._rx_value_per_bin()
+        tx_values = self._tx_value_per_bin()
+
+        n_per_bin = np.array([len(values) for values in self.rx_values_lists])
+        # Index of first not filled bin, assumes that never all bins are filled
+        idx_end = np.argmin(n_per_bin == self.c.ES_n_per_bin)
+
+        phase_diffs_values_lists = self._phase_diff_list_per_bin()
+        phase_diffs_values = _phase_diff_value_per_bin(phase_diffs_values_lists)
+
+        self._plot_and_log(tx_values, rx_values, phase_diffs_values, phase_diffs_values_lists)
+
+        tx_values_crop = np.array(tx_values, dtype=np.float32)[:idx_end]
+        rx_values_crop = np.array(rx_values, dtype=np.float32)[:idx_end]
+        phase_diffs_values_crop = np.array(phase_diffs_values, dtype=np.float32)[:idx_end]
+        return tx_values_crop, rx_values_crop, phase_diffs_values_crop, n_per_bin
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/GlobalConfig.py b/python/dpd/src/GlobalConfig.py
new file mode 100644
index 0000000..56839fc
--- /dev/null
+++ b/python/dpd/src/GlobalConfig.py
@@ -0,0 +1,108 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, constants and global configuration
+#
+# Source for DAB standard: etsi_EN_300_401_v010401p p145
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import numpy as np
+
+class GlobalConfig:
+    def __init__(self, cli_args, plot_location):
+        self.sample_rate = cli_args.samplerate
+        assert self.sample_rate == 8192000  # By now only constants for 8192000
+
+        self.plot_location = plot_location
+
+        # DAB frame
+        # Time domain
+        oversample = int(self.sample_rate / 2048000)
+        self.T_F = oversample * 196608  # Transmission frame duration
+        self.T_NULL = oversample * 2656  # Null symbol duration
+        self.T_S = oversample * 2552  # Duration of OFDM symbols of indices l = 1, 2, 3,... L;
+        self.T_U = oversample * 2048  # Inverse of carrier spacing
+        self.T_C = oversample * 504  # Duration of cyclic prefix
+
+        # Frequency Domain
+        # example: np.delete(fft[3328:4865], 768)
+        self.FFT_delta = 1536  # Number of carrier frequencies
+        self.FFT_delete = 768
+        self.FFT_start = 3328
+        self.FFT_end = 4865
+
+        # Calculate sample offset from phase rotation
+        # time per sample = 1 / sample_rate
+        # frequency per bin = 1kHz
+        # phase difference per sample offset = delta_t * 2 * pi * delta_freq
+        self.phase_offset_per_sample = 1. / self.sample_rate * 2 * np.pi * 1000
+
+        # Constants for ExtractStatistic
+        self.ES_plot = cli_args.plot
+        self.ES_start = 0.0
+        self.ES_end = 1.0
+        self.ES_n_bins = 64  # Number of bins between ES_start and ES_end
+        self.ES_n_per_bin = 128  # Number of measurements pre bin
+
+        # Constants for Measure_Shoulder
+        self.MS_enable = False
+        self.MS_plot = cli_args.plot
+
+        meas_offset = 976  # Offset from center frequency to measure shoulder [kHz]
+        meas_width = 100  # Size of frequency delta to measure shoulder [kHz]
+        shoulder_offset_edge = np.abs(meas_offset - self.FFT_delta)
+        self.MS_shoulder_left_start = self.FFT_start - shoulder_offset_edge - meas_width / 2
+        self.MS_shoulder_left_end = self.FFT_start - shoulder_offset_edge + meas_width / 2
+        self.MS_shoulder_right_start = self.FFT_end + shoulder_offset_edge - meas_width / 2
+        self.MS_shoulder_right_end = self.FFT_end + shoulder_offset_edge + meas_width / 2
+        self.MS_peak_start = self.FFT_start + 100  # Ignore region near edges
+        self.MS_peak_end = self.FFT_end - 100
+
+        self.MS_FFT_size = 8192
+        self.MS_averaging_size = 4 * self.MS_FFT_size
+        self.MS_n_averaging = 40
+        self.MS_n_proc = 4
+
+        # Constants for MER
+        self.MER_plot = cli_args.plot
+
+        # Constants for Model
+        self.MDL_plot = cli_args.plot
+
+        # Constants for Model_PM
+        # Set all phase offsets to zero for TX amplitude < MPM_tx_min
+        self.MPM_tx_min = 0.1
+
+        # Constants for TX_Agc
+        self.TAGC_max_txgain = 89  # USRP B200 specific
+        self.TAGC_tx_median_target = cli_args.target_median
+        self.TAGC_tx_median_max = self.TAGC_tx_median_target * 1.4
+        self.TAGC_tx_median_min = self.TAGC_tx_median_target / 1.4
+
+        # Constants for RX_AGC
+        self.RAGC_min_rxgain = 25  # USRP B200 specific
+        self.RAGC_rx_median_target = cli_args.target_median
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Heuristics.py b/python/dpd/src/Heuristics.py
new file mode 100644
index 0000000..21d400b
--- /dev/null
+++ b/python/dpd/src/Heuristics.py
@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, heuristics we use to tune the parameters.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import numpy as np
+
+
+def get_learning_rate(idx_run):
+    """Gradually reduce learning rate from lr_max to lr_min within
+     idx_max steps, then keep the learning rate at lr_min"""
+    idx_max = 10.0
+    lr_min = 0.05
+    lr_max = 0.4
+    lr_delta = lr_max - lr_min
+    idx_run = min(idx_run, idx_max)
+    learning_rate = lr_max - lr_delta * idx_run / idx_max
+    return learning_rate
+
+
+def get_n_meas(idx_run):
+    """Gradually increase number of measurements used to extract
+    a statistic from n_meas_min to n_meas_max within idx_max steps,
+    then keep number of measurements at n_meas_max"""
+    idx_max = 10.0
+    n_meas_min = 10
+    n_meas_max = 20
+    n_meas_delta = n_meas_max - n_meas_min
+    idx_run = min(idx_run, idx_max)
+    learning_rate = n_meas_delta * idx_run / idx_max + n_meas_min
+    return int(np.round(learning_rate))
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/MER.py b/python/dpd/src/MER.py
new file mode 100644
index 0000000..693058d
--- /dev/null
+++ b/python/dpd/src/MER.py
@@ -0,0 +1,132 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, Modulation Error Rate.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import numpy as np
+import matplotlib
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+
+class MER:
+    def __init__(self, c):
+        self.c = c
+
+        self.plot = c.MER_plot
+
+    def _calc_spectrum(self, tx):
+        fft = np.fft.fftshift(np.fft.fft(tx))
+        return np.delete(fft[self.c.FFT_start:self.c.FFT_end],
+                         self.c.FFT_delete)
+
+    def _split_in_carrier(self, x, y):
+        if 0.5 < np.mean((np.abs(np.abs(x) - np.abs(y)) /
+                              np.abs(np.abs(x) + np.abs(y)))):
+            # Constellation points are axis aligned on the Im/Re plane
+            x1 = x[(y < x) & (y > -x)]
+            y1 = y[(y < x) & (y > -x)]
+
+            x2 = x[(y > x) & (y > -x)]
+            y2 = y[(y > x) & (y > -x)]
+
+            x3 = x[(y > x) & (y < -x)]
+            y3 = y[(y > x) & (y < -x)]
+
+            x4 = x[(y < x) & (y < -x)]
+            y4 = y[(y < x) & (y < -x)]
+        else:
+            # Constellation points are on the diagonal or Im/Re plane
+            x1 = x[(+x > 0) & (+y > 0)]
+            y1 = y[(+x > 0) & (+y > 0)]
+
+            x2 = x[(-x > 0) & (+y > 0)]
+            y2 = y[(-x > 0) & (+y > 0)]
+
+            x3 = x[(-x > 0) & (-y > 0)]
+            y3 = y[(-x > 0) & (-y > 0)]
+
+            x4 = x[(+x > 0) & (-y > 0)]
+            y4 = y[(+x > 0) & (-y > 0)]
+        return (x1, y1), (x2, y2), (x3, y3), (x4, y4)
+
+    def _calc_mer_for_isolated_constellation_point(self, x, y):
+        """Calculate MER for one constellation point"""
+        x_mean = np.mean(x)
+        y_mean = np.mean(y)
+
+        U_RMS = np.sqrt(x_mean ** 2 + y_mean ** 2)
+        U_ERR = np.mean(np.sqrt((x - x_mean) ** 2 + (y - y_mean) ** 2))
+        MER = 20 * np.log10(U_ERR / U_RMS)
+
+        return x_mean, y_mean, U_RMS, U_ERR, MER
+
+    def calc_mer(self, tx, debug_name=""):
+        """Calculate MER for input signal from a symbol aligned signal."""
+        assert tx.shape[0] == self.c.T_U, "Wrong input length"
+
+        spectrum = self._calc_spectrum(tx)
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_MER" + debug_name + ".png"
+        else:
+            fig_path = None
+
+        MERs = []
+        for i, (x, y) in enumerate(self._split_in_carrier(
+                np.real(spectrum),
+                np.imag(spectrum))):
+            x_mean, y_mean, U_RMS, U_ERR, MER =\
+                self._calc_mer_for_isolated_constellation_point(x, y)
+            MERs.append(MER)
+
+            tau = np.linspace(0, 2 * np.pi, num=100)
+            x_err = U_ERR * np.sin(tau) + x_mean
+            y_err = U_ERR * np.cos(tau) + y_mean
+
+            if self.plot:
+                ax = plt.subplot(221 + i)
+                ax.scatter(x, y, s=0.2, color='black')
+                ax.plot(x_mean, y_mean, 'p', color='red')
+                ax.plot(x_err, y_err, linewidth=2, color='blue')
+                ax.text(0.1, 0.1, "MER {:.1f}dB".format(MER), transform=ax.transAxes)
+                ax.set_xlabel("Real")
+                ax.set_ylabel("Imag")
+                ylim = ax.get_ylim()
+                ax.set_ylim(ylim[0] - (ylim[1] - ylim[0]) * 0.1, ylim[1])
+
+        if fig_path is not None:
+            plt.tight_layout()
+            plt.savefig(fig_path)
+            plt.show()
+            plt.close()
+
+        MER_res = 20 * np.log10(np.mean([10 ** (MER / 20) for MER in MERs]))
+        return MER_res
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Measure.py b/python/dpd/src/Measure.py
new file mode 100644
index 0000000..6d8007d
--- /dev/null
+++ b/python/dpd/src/Measure.py
@@ -0,0 +1,136 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, Measure signal using ODR-DabMod's
+# DPD Server.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import socket
+import struct
+import numpy as np
+import src.Dab_Util as DU
+import os
+import logging
+
+class Measure:
+    """Collect Measurement from DabMod"""
+    def __init__(self, config, samplerate, port, num_samples_to_request):
+        logging.info("Instantiate Measure object")
+        self.c = config
+        self.samplerate = samplerate
+        self.sizeof_sample = 8 # complex floats
+        self.port = port
+        self.num_samples_to_request = num_samples_to_request
+
+    def _recv_exact(self, sock, num_bytes):
+        """Receive an exact number of bytes from a socket. This is
+        a wrapper around sock.recv() that can return less than the number
+        of requested bytes.
+
+        Args:
+            sock (socket): Socket to receive data from.
+            num_bytes (int): Number of bytes that will be returned.
+        """
+        bufs = []
+        while num_bytes > 0:
+            b = sock.recv(num_bytes)
+            if len(b) == 0:
+                break
+            num_bytes -= len(b)
+            bufs.append(b)
+        return b''.join(bufs)
+
+    def receive_tcp(self):
+        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+        s.settimeout(4)
+        s.connect(('localhost', self.port))
+
+        logging.debug("Send version")
+        s.sendall(b"\x01")
+
+        logging.debug("Send request for {} samples".format(self.num_samples_to_request))
+        s.sendall(struct.pack("=I", self.num_samples_to_request))
+
+        logging.debug("Wait for TX metadata")
+        num_samps, tx_second, tx_pps = struct.unpack("=III", self._recv_exact(s, 12))
+        tx_ts = tx_second + tx_pps / 16384000.0
+
+        if num_samps > 0:
+            logging.debug("Receiving {} TX samples".format(num_samps))
+            txframe_bytes = self._recv_exact(s, num_samps * self.sizeof_sample)
+            txframe = np.fromstring(txframe_bytes, dtype=np.complex64)
+        else:
+            txframe = np.array([], dtype=np.complex64)
+
+        logging.debug("Wait for RX metadata")
+        rx_second, rx_pps = struct.unpack("=II", self._recv_exact(s, 8))
+        rx_ts = rx_second + rx_pps / 16384000.0
+
+        if num_samps > 0:
+            logging.debug("Receiving {} RX samples".format(num_samps))
+            rxframe_bytes = self._recv_exact(s, num_samps * self.sizeof_sample)
+            rxframe = np.fromstring(rxframe_bytes, dtype=np.complex64)
+        else:
+            rxframe = np.array([], dtype=np.complex64)
+
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+            logging.debug('txframe: min {}, max {}, median {}'.format(
+                          np.min(np.abs(txframe)),
+                          np.max(np.abs(txframe)),
+                          np.median(np.abs(txframe))))
+
+            logging.debug('rxframe: min {}, max {}, median {}'.format(
+                          np.min(np.abs(rxframe)),
+                          np.max(np.abs(rxframe)),
+                          np.median(np.abs(rxframe))))
+
+        logging.debug("Disconnecting")
+        s.close()
+
+        return txframe, tx_ts, rxframe, rx_ts
+
+
+    def get_samples(self):
+        """Connect to ODR-DabMod, retrieve TX and RX samples, load
+        into numpy arrays, and return a tuple
+        (txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median)
+        """
+
+        txframe, tx_ts, rxframe, rx_ts = self.receive_tcp()
+
+        # Normalize received signal with sent signal
+        rx_median = np.median(np.abs(rxframe))
+        rxframe = rxframe / rx_median * np.median(np.abs(txframe))
+
+        du = DU.Dab_Util(self.c, self.samplerate)
+        txframe_aligned, rxframe_aligned = du.subsample_align(txframe, rxframe)
+
+        logging.info(
+            "Measurement done, tx %d %s, rx %d %s, tx aligned %d %s, rx aligned %d %s"
+            % (len(txframe), txframe.dtype, len(rxframe), rxframe.dtype,
+            len(txframe_aligned), txframe_aligned.dtype, len(rxframe_aligned), rxframe_aligned.dtype) )
+
+        return txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Measure_Shoulders.py b/python/dpd/src/Measure_Shoulders.py
new file mode 100644
index 0000000..fd90050
--- /dev/null
+++ b/python/dpd/src/Measure_Shoulders.py
@@ -0,0 +1,158 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, calculate peak to shoulder difference.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import multiprocessing
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def plt_next_axis(sub_rows, sub_cols, i_sub):
+    i_sub += 1
+    ax = plt.subplot(sub_rows, sub_cols, i_sub)
+    return i_sub, ax
+
+
+def plt_annotate(ax, x, y, title=None, legend_loc=None):
+    ax.set_xlabel(x)
+    ax.set_ylabel(y)
+    if title is not None:
+        ax.set_title(title)
+    if legend_loc is not None:
+        ax.legend(loc=legend_loc)
+
+
+def calc_fft_db(signal, offset, c):
+    fft = np.fft.fftshift(np.fft.fft(signal[offset:offset + c.MS_FFT_size]))
+    fft_db = 20 * np.log10(np.abs(fft))
+    return fft_db
+
+
+def _calc_peak(fft, c):
+    assert fft.shape == (c.MS_FFT_size,), fft.shape
+    idxs = (c.MS_peak_start, c.MS_peak_end)
+    peak = np.mean(fft[idxs[0]:idxs[1]])
+    return peak, idxs
+
+
+def _calc_shoulder_hight(fft_db, c):
+    assert fft_db.shape == (c.MS_FFT_size,), fft_db.shape
+    idxs_left = (c.MS_shoulder_left_start, c.MS_shoulder_left_end)
+    idxs_right = (c.MS_shoulder_right_start, c.MS_shoulder_right_end)
+
+    shoulder_left = np.mean(fft_db[idxs_left[0]:idxs_left[1]])
+    shoulder_right = np.mean(fft_db[idxs_right[0]:idxs_right[1]])
+
+    shoulder = np.mean((shoulder_left, shoulder_right))
+    return shoulder, (idxs_left, idxs_right)
+
+
+def calc_shoulder(fft, c):
+    peak = _calc_peak(fft, c)[0]
+    shoulder = _calc_shoulder_hight(fft, c)[0]
+    assert (peak >= shoulder), (peak, shoulder)
+    return peak, shoulder
+
+
+def shoulder_from_sig_offset(arg):
+    signal, offset, c = arg
+    fft_db = calc_fft_db(signal, offset, c)
+    peak, shoulder = calc_shoulder(fft_db, c)
+    return peak - shoulder, peak, shoulder
+
+
+class Measure_Shoulders:
+    """Calculate difference between the DAB signal and the shoulder hight in the
+    power spectrum"""
+
+    def __init__(self, c):
+        self.c = c
+        self.plot = c.MS_plot
+
+    def _plot(self, signal):
+        if self.c.plot_location is None:
+            return
+
+        dt = datetime.datetime.now().isoformat()
+        fig_path = self.c.plot_location + "/" + dt + "_sync_subsample_aligned.png"
+
+        fft = calc_fft_db(signal, 100, self.c)
+        peak, idxs_peak = _calc_peak(fft, self.c)
+        shoulder, idxs_sh = _calc_shoulder_hight(fft, self.c)
+
+        sub_rows = 1
+        sub_cols = 1
+        fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6))
+        i_sub = 0
+
+        i_sub, ax = plt_next_axis(sub_rows, sub_cols, i_sub)
+        ax.scatter(np.arange(fft.shape[0]), fft, s=0.1,
+                   label="FFT",
+                   color="red")
+        ax.plot(idxs_peak, (peak, peak))
+        ax.plot(idxs_sh[0], (shoulder, shoulder), color='blue')
+        ax.plot(idxs_sh[1], (shoulder, shoulder), color='blue')
+        plt_annotate(ax, "Frequency", "Magnitude [dB]", None, 4)
+
+        ax.text(100, -17, str(calc_shoulder(fft, self.c)))
+
+        ax.set_ylim(-20, 30)
+        fig.tight_layout()
+        fig.savefig(fig_path)
+        plt.close(fig)
+
+    def average_shoulders(self, signal, n_avg=None):
+        if not self.c.MS_enable:
+            logging.info("Shoulder Measurement disabled via Const.py")
+            return None
+
+        assert signal.shape[0] > 4 * self.c.MS_FFT_size
+        if n_avg is None:
+            n_avg = self.c.MS_averaging_size
+
+        off_min = 0
+        off_max = signal.shape[0] - self.c.MS_FFT_size
+        offsets = np.linspace(off_min, off_max, num=n_avg, dtype=int)
+
+        args = zip(
+            [signal, ] * offsets.shape[0],
+            offsets,
+            [self.c, ] * offsets.shape[0]
+        )
+
+        pool = multiprocessing.Pool(self.c.MS_n_proc)
+        res = pool.map(shoulder_from_sig_offset, args)
+        shoulders_diff, shoulders, peaks = zip(*res)
+
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG and self.plot:
+            self._plot(signal)
+
+        return np.mean(shoulders_diff), np.mean(shoulders), np.mean(peaks)
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Model.py b/python/dpd/src/Model.py
new file mode 100644
index 0000000..b2c303f
--- /dev/null
+++ b/python/dpd/src/Model.py
@@ -0,0 +1,32 @@
+# -*- coding: utf-8 -*-
+from src.Model_Poly import Poly
+from src.Model_Lut import Lut
+
+def select_model_from_dpddata(dpddata):
+    if dpddata[0] == 'lut':
+        return Lut
+    elif dpddata[0] == 'poly':
+        return Poly
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Model_AM.py b/python/dpd/src/Model_AM.py
new file mode 100644
index 0000000..75b226f
--- /dev/null
+++ b/python/dpd/src/Model_AM.py
@@ -0,0 +1,122 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, model implementation for Amplitude and not Phase
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def is_npfloat32(array):
+    assert isinstance(array, np.ndarray), type(array)
+    assert array.dtype == np.float32, array.dtype
+    assert array.flags.contiguous
+    assert not any(np.isnan(array))
+
+
+def check_input_get_next_coefs(tx_dpd, rx_received):
+    is_npfloat32(tx_dpd)
+    is_npfloat32(rx_received)
+
+
+def poly(sig):
+    return np.array([sig ** i for i in range(1, 6)]).T
+
+
+def fit_poly(tx_abs, rx_abs):
+    return np.linalg.lstsq(poly(rx_abs), tx_abs, rcond=None)[0]
+
+
+def calc_line(coefs, min_amp, max_amp):
+    rx_range = np.linspace(min_amp, max_amp)
+    tx_est = np.sum(poly(rx_range) * coefs, axis=1)
+    return tx_est, rx_range
+
+
+class Model_AM:
+    """Calculates new coefficients using the measurement and the previous
+    coefficients"""
+
+    def __init__(self,
+                 c,
+                 learning_rate_am=1,
+                 plot=False):
+        self.c = c
+
+        self.learning_rate_am = learning_rate_am
+        self.plot = plot
+
+    def _plot(self, tx_dpd, rx_received, coefs_am, coefs_am_new):
+        if self.plot and self.c.plot_location is not None:
+            tx_range, rx_est = calc_line(coefs_am, 0, 0.6)
+            tx_range_new, rx_est_new = calc_line(coefs_am_new, 0, 0.6)
+
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_Model_AM.png"
+            sub_rows = 1
+            sub_cols = 1
+            fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6))
+            i_sub = 0
+
+            i_sub += 1
+            ax = plt.subplot(sub_rows, sub_cols, i_sub)
+            ax.plot(tx_range, rx_est,
+                    label="Estimated TX",
+                    alpha=0.3,
+                    color="gray")
+            ax.plot(tx_range_new, rx_est_new,
+                    label="New Estimated TX",
+                    color="red")
+            ax.scatter(tx_dpd, rx_received,
+                       label="Binned Data",
+                       color="blue",
+                       s=1)
+            ax.set_title("Model_AM")
+            ax.set_xlabel("TX Amplitude")
+            ax.set_ylabel("RX Amplitude")
+            ax.set_xlim(-0.5, 1.5)
+            ax.legend(loc=4)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+    def get_next_coefs(self, tx_dpd, rx_received, coefs_am):
+        """Calculate the next AM/AM coefficients using the extracted
+        statistic of TX and RX amplitude"""
+        check_input_get_next_coefs(tx_dpd, rx_received)
+
+        coefs_am_new = fit_poly(tx_dpd, rx_received)
+        coefs_am_new = coefs_am + \
+                       self.learning_rate_am * (coefs_am_new - coefs_am)
+
+        self._plot(tx_dpd, rx_received, coefs_am, coefs_am_new)
+
+        return coefs_am_new
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Model_Lut.py b/python/dpd/src/Model_Lut.py
new file mode 100644
index 0000000..e70fdb0
--- /dev/null
+++ b/python/dpd/src/Model_Lut.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, model implementation using polynomial
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import os
+import logging
+import numpy as np
+
+class Lut:
+    """Implements a model that calculates lookup table coefficients"""
+
+    def __init__(self,
+                 c,
+                 learning_rate=1.,
+                 plot=False):
+        """
+
+        :rtype: 
+        """
+        logging.debug("Initialising LUT Model")
+        self.c = c
+        self.learning_rate = learning_rate
+        self.plot = plot
+        self.reset_coefs()
+
+    def reset_coefs(self):
+        self.scalefactor = 0xFFFFFFFF  # max uint32_t value
+        self.lut = np.ones(32, dtype=np.complex64)
+
+    def train(self, tx_abs, rx_abs, phase_diff):
+        pass
+
+    def get_dpd_data(self):
+        return "lut", self.scalefactor, self.lut
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+# Copyright (c) 2017 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Model_PM.py b/python/dpd/src/Model_PM.py
new file mode 100644
index 0000000..7b80bf3
--- /dev/null
+++ b/python/dpd/src/Model_PM.py
@@ -0,0 +1,124 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, model implementation for Amplitude and not Phase
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def is_npfloat32(array):
+    assert isinstance(array, np.ndarray), type(array)
+    assert array.dtype == np.float32, array.dtype
+    assert array.flags.contiguous
+    assert not any(np.isnan(array))
+
+
+def check_input_get_next_coefs(tx_dpd, phase_diff):
+    is_npfloat32(tx_dpd)
+    is_npfloat32(phase_diff)
+
+
+class Model_PM:
+    """Calculates new coefficients using the measurement and the previous
+    coefficients"""
+
+    def __init__(self,
+                 c,
+                 learning_rate_pm=1,
+                 plot=False):
+        self.c = c
+
+        self.learning_rate_pm = learning_rate_pm
+        self.plot = plot
+
+    def _plot(self, tx_dpd, phase_diff, coefs_pm, coefs_pm_new):
+        if self.plot and self.c.plot_location is not None:
+            tx_range, phase_diff_est = self.calc_line(coefs_pm, 0, 0.6)
+            tx_range_new, phase_diff_est_new = self.calc_line(coefs_pm_new, 0, 0.6)
+
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_Model_PM.png"
+            sub_rows = 1
+            sub_cols = 1
+            fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6))
+            i_sub = 0
+
+            i_sub += 1
+            ax = plt.subplot(sub_rows, sub_cols, i_sub)
+            ax.plot(tx_range, phase_diff_est,
+                    label="Estimated Phase Diff",
+                    alpha=0.3,
+                    color="gray")
+            ax.plot(tx_range_new, phase_diff_est_new,
+                    label="New Estimated Phase Diff",
+                    color="red")
+            ax.scatter(tx_dpd, phase_diff,
+                       label="Binned Data",
+                       color="blue",
+                       s=1)
+            ax.set_title("Model_PM")
+            ax.set_xlabel("TX Amplitude")
+            ax.set_ylabel("Phase DIff")
+            ax.legend(loc=4)
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+    def _discard_small_values(self, tx_dpd, phase_diff):
+        """ Assumes that the phase for small tx amplitudes is zero"""
+        mask = tx_dpd < self.c.MPM_tx_min
+        phase_diff[mask] = 0
+        return tx_dpd, phase_diff
+
+    def poly(self, sig):
+        return np.array([sig ** i for i in range(0, 5)]).T
+
+    def fit_poly(self, tx_abs, phase_diff):
+        return np.linalg.lstsq(self.poly(tx_abs), phase_diff, rcond=None)[0]
+
+    def calc_line(self, coefs, min_amp, max_amp):
+        tx_range = np.linspace(min_amp, max_amp)
+        phase_diff = np.sum(self.poly(tx_range) * coefs, axis=1)
+        return tx_range, phase_diff
+
+    def get_next_coefs(self, tx_dpd, phase_diff, coefs_pm):
+        """Calculate the next AM/PM coefficients using the extracted
+        statistic of TX amplitude and phase difference"""
+        tx_dpd, phase_diff = self._discard_small_values(tx_dpd, phase_diff)
+        check_input_get_next_coefs(tx_dpd, phase_diff)
+
+        coefs_pm_new = self.fit_poly(tx_dpd, phase_diff)
+
+        coefs_pm_new = coefs_pm + self.learning_rate_pm * (coefs_pm_new - coefs_pm)
+        self._plot(tx_dpd, phase_diff, coefs_pm, coefs_pm_new)
+
+        return coefs_pm_new
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Model_Poly.py b/python/dpd/src/Model_Poly.py
new file mode 100644
index 0000000..cdfd319
--- /dev/null
+++ b/python/dpd/src/Model_Poly.py
@@ -0,0 +1,101 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, model implementation using polynomial
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import os
+import logging
+import numpy as np
+
+import src.Model_AM as Model_AM
+import src.Model_PM as Model_PM
+
+
+def assert_np_float32(x):
+    assert isinstance(x, np.ndarray)
+    assert x.dtype == np.float32
+    assert x.flags.contiguous
+
+
+def _check_input_get_next_coefs(tx_abs, rx_abs, phase_diff):
+    assert_np_float32(tx_abs)
+    assert_np_float32(rx_abs)
+    assert_np_float32(phase_diff)
+
+    assert tx_abs.shape == rx_abs.shape, \
+        "tx_abs.shape {}, rx_abs.shape {}".format(
+            tx_abs.shape, rx_abs.shape)
+    assert tx_abs.shape == phase_diff.shape, \
+        "tx_abs.shape {}, phase_diff.shape {}".format(
+            tx_abs.shape, phase_diff.shape)
+
+
+class Poly:
+    """Calculates new coefficients using the measurement and the previous
+    coefficients"""
+
+    def __init__(self,
+                 c,
+                 learning_rate_am=1.0,
+                 learning_rate_pm=1.0):
+        self.c = c
+        self.plot = c.MDL_plot
+
+        self.learning_rate_am = learning_rate_am
+        self.learning_rate_pm = learning_rate_pm
+
+        self.reset_coefs()
+
+        self.model_am = Model_AM.Model_AM(c, plot=self.plot)
+        self.model_pm = Model_PM.Model_PM(c, plot=self.plot)
+
+    def reset_coefs(self):
+        self.coefs_am = np.zeros(5, dtype=np.float32)
+        self.coefs_am[0] = 1
+        self.coefs_pm = np.zeros(5, dtype=np.float32)
+
+    def train(self, tx_abs, rx_abs, phase_diff, lr=None):
+        """
+        :type tx_abs: np.ndarray
+        :type rx_abs: np.ndarray
+        :type phase_diff: np.ndarray
+        :type lr: float
+        """
+        _check_input_get_next_coefs(tx_abs, rx_abs, phase_diff)
+
+        if not lr is None:
+            self.model_am.learning_rate_am = lr
+            self.model_pm.learning_rate_pm = lr
+
+        coefs_am_new = self.model_am.get_next_coefs(tx_abs, rx_abs, self.coefs_am)
+        coefs_pm_new = self.model_pm.get_next_coefs(tx_abs, phase_diff, self.coefs_pm)
+
+        self.coefs_am = self.coefs_am + (coefs_am_new - self.coefs_am) * self.learning_rate_am
+        self.coefs_pm = self.coefs_pm + (coefs_pm_new - self.coefs_pm) * self.learning_rate_pm
+
+    def get_dpd_data(self):
+        return "poly", self.coefs_am, self.coefs_pm
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/RX_Agc.py b/python/dpd/src/RX_Agc.py
new file mode 100644
index 0000000..f778dee
--- /dev/null
+++ b/python/dpd/src/RX_Agc.py
@@ -0,0 +1,166 @@
+# -*- coding: utf-8 -*-
+#
+# Automatic Gain Control
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import time
+import numpy as np
+import matplotlib
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+
+import src.Adapt as Adapt
+import src.Measure as Measure
+
+class Agc:
+    """The goal of the automatic gain control is to set the 
+    RX gain to a value at which all received amplitudes can 
+    be detected. This means that the maximum possible amplitude 
+    should be quantized at the highest possible digital value.
+
+    A problem we have to face, is that the estimation of the 
+    maximum amplitude by applying the max() function is very 
+    unstable. This is due to the maximum’s rareness. Therefore 
+    we estimate a far more robust value, such as the median, 
+    and then approximate the maximum amplitude from it.
+
+    Given this, we tune the RX gain in such a way, that the 
+    received signal fulfills our desired property, of having 
+    all amplitudes properly quantized."""
+
+    def __init__(self, measure, adapt, c):
+        assert isinstance(measure, Measure.Measure)
+        assert isinstance(adapt, Adapt.Adapt)
+        self.measure = measure
+        self.adapt = adapt
+        self.min_rxgain = c.RAGC_min_rxgain
+        self.rxgain = self.min_rxgain
+        self.peak_to_median = 1./c.RAGC_rx_median_target
+
+    def run(self):
+        self.adapt.set_rxgain(self.rxgain)
+
+        for i in range(2):
+            # Measure
+            txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median= \
+                self.measure.get_samples()
+
+            # Estimate Maximum
+            rx_peak = self.peak_to_median * rx_median
+            correction_factor = 20*np.log10(1/rx_peak)
+            self.rxgain = self.rxgain + correction_factor
+
+            assert self.min_rxgain <= self.rxgain, ("Desired RX Gain is {} which is smaller than the minimum of {}".format(
+                self.rxgain, self.min_rxgain))
+
+            logging.info("RX Median {:1.4f}, estimated peak {:1.4f}, correction factor {:1.4f}, new RX gain {:1.4f}".format(
+            rx_median, rx_peak, correction_factor, self.rxgain
+            ))
+
+            self.adapt.set_rxgain(self.rxgain)
+            time.sleep(0.5)
+
+    def plot_estimates(self):
+        """Plots the estimate of for Max, Median, Mean for different
+        number of samples."""
+        if self.c.plot_location is None:
+            return
+
+        self.adapt.set_rxgain(self.min_rxgain)
+        time.sleep(1)
+
+        dt = datetime.datetime.now().isoformat()
+        fig_path = self.c.plot_location + "/" + dt + "_agc.png"
+        fig, axs = plt.subplots(2, 2, figsize=(3*6,1*6))
+        axs = axs.ravel()
+
+        for j in range(5):
+            txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median =\
+                self.measure.get_samples()
+
+            rxframe_aligned_abs = np.abs(rxframe_aligned)
+
+            x = np.arange(100, rxframe_aligned_abs.shape[0], dtype=int)
+            rx_max_until = []
+            rx_median_until = []
+            rx_mean_until = []
+            for i in x:
+                rx_max_until.append(np.max(rxframe_aligned_abs[:i]))
+                rx_median_until.append(np.median(rxframe_aligned_abs[:i]))
+                rx_mean_until.append(np.mean(rxframe_aligned_abs[:i]))
+
+            axs[0].plot(x,
+                    rx_max_until,
+                    label="Run {}".format(j+1),
+                    color=matplotlib.colors.hsv_to_rgb((1./(j+1.),0.8,0.7)),
+                    linestyle="-", linewidth=0.25)
+            axs[0].set_xlabel("Samples")
+            axs[0].set_ylabel("Amplitude")
+            axs[0].set_title("Estimation for Maximum RX Amplitude")
+            axs[0].legend()
+
+            axs[1].plot(x,
+                    rx_median_until,
+                    label="Run {}".format(j+1),
+                    color=matplotlib.colors.hsv_to_rgb((1./(j+1.),0.9,0.7)),
+                    linestyle="-", linewidth=0.25)
+            axs[1].set_xlabel("Samples")
+            axs[1].set_ylabel("Amplitude")
+            axs[1].set_title("Estimation for Median RX Amplitude")
+            axs[1].legend()
+            ylim_1 = axs[1].get_ylim()
+
+            axs[2].plot(x,
+                    rx_mean_until,
+                    label="Run {}".format(j+1),
+                    color=matplotlib.colors.hsv_to_rgb((1./(j+1.),0.9,0.7)),
+                    linestyle="-", linewidth=0.25)
+            axs[2].set_xlabel("Samples")
+            axs[2].set_ylabel("Amplitude")
+            axs[2].set_title("Estimation for Mean RX Amplitude")
+            ylim_2 = axs[2].get_ylim()
+            axs[2].legend()
+
+            axs[1].set_ylim(min(ylim_1[0], ylim_2[0]),
+                            max(ylim_1[1], ylim_2[1]))
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+
+        axs[3].hist(rxframe_aligned_abs, bins=60)
+        axs[3].set_xlabel("Amplitude")
+        axs[3].set_ylabel("Frequency")
+        axs[3].set_title("Histogram of Amplitudes")
+        axs[3].legend()
+
+        fig.tight_layout()
+        fig.savefig(fig_path)
+        plt.close(fig)
+
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/Symbol_align.py b/python/dpd/src/Symbol_align.py
new file mode 100644
index 0000000..2a17a65
--- /dev/null
+++ b/python/dpd/src/Symbol_align.py
@@ -0,0 +1,193 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, Modulation Error Rate.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import numpy as np
+import scipy
+import matplotlib
+
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+
+
+def _remove_outliers(x, stds=5):
+    deviation_from_mean = np.abs(x - np.mean(x))
+    inlier_idxs = deviation_from_mean < stds * np.std(x)
+    x = x[inlier_idxs]
+    return x
+
+
+def _calc_delta_angle(fft):
+    # Introduce invariance against carrier
+    angles = np.angle(fft) % (np.pi / 2.)
+
+    # Calculate Angle difference and compensate jumps
+    deltas_angle = np.diff(angles)
+    deltas_angle[deltas_angle > np.pi / 4.] = \
+        deltas_angle[deltas_angle > np.pi / 4.] - np.pi / 2.
+    deltas_angle[-deltas_angle > np.pi / 4.] = \
+        deltas_angle[-deltas_angle > np.pi / 4.] + np.pi / 2.
+    deltas_angle = _remove_outliers(deltas_angle)
+
+    delta_angle = np.mean(deltas_angle)
+
+    return delta_angle
+
+
+class Symbol_align:
+    """
+    Find the phase offset to the start of the DAB symbols in an
+    unaligned dab signal.
+    """
+
+    def __init__(self, c, plot=False):
+        self.c = c
+        self.plot = plot
+        pass
+
+    def _calc_offset_to_first_symbol_without_prefix(self, tx):
+        tx_orig = tx[0:-self.c.T_U]
+        tx_cut_prefix = tx[self.c.T_U:]
+
+        tx_product = np.abs(tx_orig - tx_cut_prefix)
+        tx_product_avg = np.correlate(
+            tx_product,
+            np.ones(self.c.T_C),
+            mode='valid')
+        tx_product_avg_min_filt = \
+            scipy.ndimage.filters.minimum_filter1d(
+                tx_product_avg,
+                int(1.5 * self.c.T_S)
+            )
+        peaks = np.ravel(np.where(tx_product_avg == tx_product_avg_min_filt))
+
+        offset = peaks[np.argmin([tx_product_avg[peak] for peak in peaks])]
+
+        if self.plot and self.c.plot_location is not None:
+            dt = datetime.datetime.now().isoformat()
+            fig_path = self.c.plot_location + "/" + dt + "_Symbol_align.png"
+
+            fig = plt.figure(figsize=(9, 9))
+
+            ax = fig.add_subplot(4, 1, 1)
+            ax.plot(tx_product)
+            ylim = ax.get_ylim()
+            for peak in peaks:
+                ax.plot((peak, peak), (ylim[0], ylim[1]))
+                if peak == offset:
+                    ax.text(peak, ylim[0] + 0.3 * np.diff(ylim), "offset", rotation=90)
+                else:
+                    ax.text(peak, ylim[0] + 0.2 * np.diff(ylim), "peak", rotation=90)
+            ax.set_xlabel("Sample")
+            ax.set_ylabel("Conj. Product")
+            ax.set_title("Difference with shifted self")
+
+            ax = fig.add_subplot(4, 1, 2)
+            ax.plot(tx_product_avg)
+            ylim = ax.get_ylim()
+            for peak in peaks:
+                ax.plot((peak, peak), (ylim[0], ylim[1]))
+                if peak == offset:
+                    ax.text(peak, ylim[0] + 0.3 * np.diff(ylim), "offset", rotation=90)
+                else:
+                    ax.text(peak, ylim[0] + 0.2 * np.diff(ylim), "peak", rotation=90)
+            ax.set_xlabel("Sample")
+            ax.set_ylabel("Conj. Product")
+            ax.set_title("Moving Average")
+
+            ax = fig.add_subplot(4, 1, 3)
+            ax.plot(tx_product_avg_min_filt)
+            ylim = ax.get_ylim()
+            for peak in peaks:
+                ax.plot((peak, peak), (ylim[0], ylim[1]))
+                if peak == offset:
+                    ax.text(peak, ylim[0] + 0.3 * np.diff(ylim), "offset", rotation=90)
+                else:
+                    ax.text(peak, ylim[0] + 0.2 * np.diff(ylim), "peak", rotation=90)
+            ax.set_xlabel("Sample")
+            ax.set_ylabel("Conj. Product")
+            ax.set_title("Min Filter")
+
+            ax = fig.add_subplot(4, 1, 4)
+            tx_product_crop = tx_product[peaks[0] - 50:peaks[0] + 50]
+            x = range(tx_product.shape[0])[peaks[0] - 50:peaks[0] + 50]
+            ax.plot(x, tx_product_crop)
+            ylim = ax.get_ylim()
+            ax.plot((peaks[0], peaks[0]), (ylim[0], ylim[1]))
+            ax.set_xlabel("Sample")
+            ax.set_ylabel("Conj. Product")
+            ax.set_title("Difference with shifted self")
+
+            fig.tight_layout()
+            fig.savefig(fig_path)
+            plt.close(fig)
+
+        # "offset" measures where the shifted signal matches the
+        # original signal. Therefore we have to subtract the size
+        # of the shift to find the offset of the symbol start.
+        return (offset + self.c.T_C) % self.c.T_S
+
+    def _delta_angle_to_samples(self, angle):
+        return - angle / self.c.phase_offset_per_sample
+
+    def _calc_sample_offset(self, sig):
+        assert sig.shape[0] == self.c.T_U, \
+            "Input length is not a Symbol without cyclic prefix"
+
+        fft = np.fft.fftshift(np.fft.fft(sig))
+        fft_crop = np.delete(fft[self.c.FFT_start:self.c.FFT_end], self.c.FFT_delete)
+        delta_angle = _calc_delta_angle(fft_crop)
+        delta_sample = self._delta_angle_to_samples(delta_angle)
+        delta_sample_int = np.round(delta_sample).astype(int)
+        error = np.abs(delta_sample_int - delta_sample)
+        if error > 0.1:
+            raise RuntimeError("Could not calculate " \
+                               "sample offset. Error {}".format(error))
+        return delta_sample_int
+
+    def calc_offset(self, tx):
+        """Calculate the offset the first symbol"""
+        off_sym = self._calc_offset_to_first_symbol_without_prefix(
+            tx)
+        off_sam = self._calc_sample_offset(
+            tx[off_sym:off_sym + self.c.T_U])
+        off = (off_sym + off_sam) % self.c.T_S
+
+        assert self._calc_sample_offset(tx[off:off + self.c.T_U]) == 0, \
+            "Failed to calculate offset"
+        return off
+
+    def crop_symbol_without_cyclic_prefix(self, tx):
+        off = self.calc_offset(tx)
+        return tx[
+               off:
+               off + self.c.T_U
+               ]
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/TX_Agc.py b/python/dpd/src/TX_Agc.py
new file mode 100644
index 0000000..309193d
--- /dev/null
+++ b/python/dpd/src/TX_Agc.py
@@ -0,0 +1,131 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine,  Automatic Gain Control.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import datetime
+import os
+import logging
+import time
+import numpy as np
+import matplotlib
+
+matplotlib.use('agg')
+import matplotlib.pyplot as plt
+
+import src.Adapt as Adapt
+
+
+# TODO fix for float tx_gain
+class TX_Agc:
+    def __init__(self,
+                 adapt,
+                 c):
+        """
+        In order to avoid digital clipping, this class increases the
+        TX gain and reduces the digital gain. Digital clipping happens
+        when the digital analog converter receives values greater than
+        it's maximal output. This class solves that problem by adapting
+        the TX gain in a way that the peaks of the TX signal are in a
+        specified range. The TX gain is adapted accordingly. The TX peaks
+        are approximated by estimating it based on the signal median.
+
+        :param adapt: Instance of Adapt Class to update
+               txgain and coefficients
+        :param max_txgain: limit for TX gain
+        :param tx_median_threshold_max: if the median of TX is larger
+                than this value, then the digital gain is reduced
+        :param tx_median_threshold_min: if the median of TX is smaller
+                than this value, then the digital gain is increased
+        :param tx_median_target: The digital gain is reduced in a way that
+                the median TX value is expected to be lower than this value.
+        """
+
+        assert isinstance(adapt, Adapt.Adapt)
+        self.adapt = adapt
+        self.max_txgain = c.TAGC_max_txgain
+        self.txgain = self.max_txgain
+
+        self.tx_median_threshold_tolerate_max = c.TAGC_tx_median_max
+        self.tx_median_threshold_tolerate_min = c.TAGC_tx_median_min
+        self.tx_median_target = c.TAGC_tx_median_target
+
+    def _calc_new_tx_gain(self, tx_median):
+        delta_db = 20 * np.log10(self.tx_median_target / tx_median)
+        new_txgain = self.adapt.get_txgain() - delta_db
+        assert new_txgain < self.max_txgain, \
+            "TX_Agc failed. New TX gain of {} is too large.".format(
+                new_txgain
+            )
+        return new_txgain, delta_db
+
+    def _calc_digital_gain(self, delta_db):
+        digital_gain_factor = 10 ** (delta_db / 20.)
+        digital_gain = self.adapt.get_digital_gain() * digital_gain_factor
+        return digital_gain, digital_gain_factor
+
+    def _set_tx_gain(self, new_txgain):
+        self.adapt.set_txgain(new_txgain)
+        txgain = self.adapt.get_txgain()
+        return txgain
+
+    def _have_to_adapt(self, tx_median):
+        too_large = tx_median > self.tx_median_threshold_tolerate_max
+        too_small = tx_median < self.tx_median_threshold_tolerate_min
+        return too_large or too_small
+
+    def adapt_if_necessary(self, tx):
+        tx_median = np.median(np.abs(tx))
+
+        if self._have_to_adapt(tx_median):
+            # Calculate new values
+            new_txgain, delta_db = self._calc_new_tx_gain(tx_median)
+            digital_gain, digital_gain_factor = \
+                self._calc_digital_gain(delta_db)
+
+            # Set new values.
+            # Avoid temorary increase of output power with correct order
+            if digital_gain_factor < 1:
+                self.adapt.set_digital_gain(digital_gain)
+                time.sleep(0.5)
+                txgain = self._set_tx_gain(new_txgain)
+                time.sleep(1)
+            else:
+                txgain = self._set_tx_gain(new_txgain)
+                time.sleep(1)
+                self.adapt.set_digital_gain(digital_gain)
+                time.sleep(0.5)
+
+            logging.info(
+                "digital_gain = {}, txgain_new = {}, " \
+                "delta_db = {}, tx_median {}, " \
+                "digital_gain_factor = {}".
+                    format(digital_gain, txgain, delta_db,
+                           tx_median, digital_gain_factor))
+
+            return True
+        return False
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/__init__.py b/python/dpd/src/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/python/dpd/src/__init__.py
diff --git a/python/dpd/src/phase_align.py b/python/dpd/src/phase_align.py
new file mode 100644
index 0000000..8654333
--- /dev/null
+++ b/python/dpd/src/phase_align.py
@@ -0,0 +1,98 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, phase-align a signal against a reference.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+import datetime
+import os
+import logging
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+def phase_align(sig, ref_sig, plot=False):
+    """Do phase alignment for sig relative to the reference signal
+    ref_sig.
+
+    Returns the aligned signal"""
+
+    angle_diff = (np.angle(sig) - np.angle(ref_sig)) % (2. * np.pi)
+
+    real_diffs = np.cos(angle_diff)
+    imag_diffs = np.sin(angle_diff)
+
+    if plot and self.c.plot_location is not None:
+        dt = datetime.datetime.now().isoformat()
+        fig_path = self.c.plot_location + "/" + dt + "_phase_align.png"
+
+        plt.subplot(511)
+        plt.hist(angle_diff, bins=60, label="Angle Diff")
+        plt.xlabel("Angle")
+        plt.ylabel("Count")
+        plt.legend(loc=4)
+
+        plt.subplot(512)
+        plt.hist(real_diffs, bins=60, label="Real Diff")
+        plt.xlabel("Real Part")
+        plt.ylabel("Count")
+        plt.legend(loc=4)
+
+        plt.subplot(513)
+        plt.hist(imag_diffs, bins=60, label="Imaginary Diff")
+        plt.xlabel("Imaginary Part")
+        plt.ylabel("Count")
+        plt.legend(loc=4)
+
+        plt.subplot(514)
+        plt.plot(np.angle(ref_sig[:128]), label="ref_sig")
+        plt.plot(np.angle(sig[:128]), label="sig")
+        plt.xlabel("Angle")
+        plt.ylabel("Sample")
+        plt.legend(loc=4)
+
+    real_diff = np.median(real_diffs)
+    imag_diff = np.median(imag_diffs)
+
+    angle = np.angle(real_diff + 1j * imag_diff)
+
+    logging.debug(
+        "Compensating phase by {} rad, {} degree. real median {}, imag median {}".format(
+        angle, angle*180./np.pi, real_diff, imag_diff
+    ))
+    sig = sig * np.exp(1j * -angle)
+
+    if logging.getLogger().getEffectiveLevel() == logging.DEBUG and plot:
+        plt.subplot(515)
+        plt.plot(np.angle(ref_sig[:128]), label="ref_sig")
+        plt.plot(np.angle(sig[:128]), label="sig")
+        plt.xlabel("Angle")
+        plt.ylabel("Sample")
+        plt.legend(loc=4)
+        plt.tight_layout()
+        plt.savefig(fig_path)
+        plt.close()
+
+    return sig
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/src/subsample_align.py b/python/dpd/src/subsample_align.py
new file mode 100755
index 0000000..20ae56b
--- /dev/null
+++ b/python/dpd/src/subsample_align.py
@@ -0,0 +1,111 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, utility to do subsample alignment.
+#
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+import datetime
+import logging
+import os
+import numpy as np
+from scipy import optimize
+import matplotlib.pyplot as plt
+
+def gen_omega(length):
+    if (length % 2) == 1:
+        raise ValueError("Needs an even length array.")
+
+    halflength = int(length / 2)
+    factor = 2.0 * np.pi / length
+
+    omega = np.zeros(length, dtype=np.float)
+    for i in range(halflength):
+        omega[i] = factor * i
+
+    for i in range(halflength, length):
+        omega[i] = factor * (i - length)
+
+    return omega
+
+
+def subsample_align(sig, ref_sig, plot_location=None):
+    """Do subsample alignment for sig relative to the reference signal
+    ref_sig. The delay between the two must be less than sample
+
+    Returns the aligned signal"""
+
+    n = len(sig)
+    if (n % 2) == 1:
+        raise ValueError("Needs an even length signal.")
+    halflen = int(n / 2)
+
+    fft_sig = np.fft.fft(sig)
+
+    omega = gen_omega(n)
+
+    def correlate_for_delay(tau):
+        # A subsample offset between two signals corresponds, in the frequency
+        # domain, to a linearly increasing phase shift, whose slope
+        # corresponds to the delay.
+        #
+        # Here, we build this phase shift in rotate_vec, and multiply it with
+        # our signal.
+
+        rotate_vec = np.exp(1j * tau * omega)
+        # zero-frequency is rotate_vec[0], so rotate_vec[N/2] is the
+        # bin corresponding to the [-1, 1, -1, 1, ...] time signal, which
+        # is both the maximum positive and negative frequency.
+        # I don't remember why we handle it differently.
+        rotate_vec[halflen] = np.cos(np.pi * tau)
+
+        corr_sig = np.fft.ifft(rotate_vec * fft_sig)
+
+        return -np.abs(np.sum(np.conj(corr_sig) * ref_sig))
+
+    optim_result = optimize.minimize_scalar(correlate_for_delay, bounds=(-1, 1), method='bounded',
+                                            options={'disp': True})
+
+    if optim_result.success:
+        best_tau = optim_result.x
+
+        if plot_location is not None:
+            corr = np.vectorize(correlate_for_delay)
+            ixs = np.linspace(-1, 1, 100)
+            taus = corr(ixs)
+
+            dt = datetime.datetime.now().isoformat()
+            tau_path = (plot_location + "/" + dt + "_tau.png")
+            plt.plot(ixs, taus)
+            plt.title("Subsample correlation, minimum is best: {}".format(best_tau))
+            plt.savefig(tau_path)
+            plt.close()
+
+        # Prepare rotate_vec = fft_sig with rotated phase
+        rotate_vec = np.exp(1j * best_tau * omega)
+        rotate_vec[halflen] = np.cos(np.pi * best_tau)
+        return np.fft.ifft(rotate_vec * fft_sig).astype(np.complex64)
+    else:
+        # print("Could not optimize: " + optim_result.message)
+        return np.zeros(0, dtype=np.complex64)
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2017 Andreas Steger
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/dpd/store_received.py b/python/dpd/store_received.py
new file mode 100755
index 0000000..19b735e
--- /dev/null
+++ b/python/dpd/store_received.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# This is an example tool that shows how to connect to ODR-DabMod's dpd TCP server
+# and get samples from there.
+#
+# Since the TX and RX samples are not perfectly aligned, the tool has to align them properly,
+# which is done in two steps: First on sample-level using a correlation, then with subsample
+# accuracy using a FFT approach.
+#
+# It requires SciPy and matplotlib.
+#
+# Copyright (C) 2017 Matthias P. Braendli
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import sys
+import socket
+import struct
+import argparse
+import os
+import time
+from src.GlobalConfig import GlobalConfig
+from src.Measure import Measure
+
+SIZEOF_SAMPLE = 8 # complex floats
+
+parser = argparse.ArgumentParser(description="Plot the spectrum of ODR-DabMod's DPD feedback")
+parser.add_argument('--samps', default='10240', type=int,
+        help='Number of samples to request at once',
+        required=False)
+parser.add_argument('--port', default='50055', type=int,
+        help='port to connect to ODR-DabMod DPD (default: 50055)',
+        required=False)
+parser.add_argument('--count', default='1', type=int,
+        help='Number of recordings',
+        required=False)
+parser.add_argument('--verbose', type=int, default=0,
+        help='Level of verbosity',
+        required=False)
+parser.add_argument('--plot',
+                    help='Enable all plots, to be more selective choose plots in GlobalConfig.py',
+                    action="store_true")
+parser.add_argument('--samplerate', default=8192000, type=int,
+                    help='Sample rate',
+                    required=False)
+
+cli_args = parser.parse_args()
+
+cli_args.target_median = 0.05
+
+c = GlobalConfig(cli_args, None)
+
+meas = Measure(c, cli_args.samplerate, cli_args.port, cli_args.samps)
+
+for i in range(int(cli_args.count)):
+    if i>0:
+        time.sleep(0.1)
+
+    txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
+
+    txframe_aligned.tofile("%d_tx_record.iq" % i)
+    rxframe_aligned.tofile("%d_rx_record.iq" % i)
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2018 Matthias P. Braendli
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
diff --git a/python/gui/README.md b/python/gui/README.md
new file mode 100644
index 0000000..ec55bc9
--- /dev/null
+++ b/python/gui/README.md
@@ -0,0 +1,45 @@
+ODR-DabMod Web UI
+=================
+
+Goals
+-----
+
+Enable users to play with digital predistortion settings, through a
+visualisation of the settings and the parameters.
+
+Make it easier to discover the tuning possibilities of the modulator.
+
+
+Install
+-------
+
+Install dependencies: cherrypy, jinja2, scipy, matplotlib, zmq python modules
+
+Run
+---
+
+1. Execute ODR-DabMod, configured with zmq rc on port 9400
+1. `cd gui`
+1. `./run.py`
+1. Connect your browser to `http://localhost:8099`
+
+Todo
+----
+
+* Integrate DPDCE
+  * Show DPD settings and effect visually
+  * Allow load/store of DPD settings
+  * Make ports configurable
+* Use Feedback Server interface and make spectrum and constellation plots
+* Get authentication to work
+* Read and write config file, and add forms to change ODR-DabMod configuration
+* Connect to supervisord to be able to restart ODR-DabMod
+* Create a status page
+  * Is process running?
+  * Is modulator rate within bounds?
+  * Are there underruns or late packets?
+  * Is the GPSDO ok? (needs new RC params)
+* Think about how to show PA settings
+  * Return loss is an important metric
+  * Some PAs offer serial interfaces for supervision
+
diff --git a/python/gui/api/__init__.py b/python/gui/api/__init__.py
new file mode 100755
index 0000000..77faa10
--- /dev/null
+++ b/python/gui/api/__init__.py
@@ -0,0 +1,132 @@
+# -*- coding: utf-8 -*-
+#
+#   Copyright (C) 2018
+#   Matthias P. Braendli, matthias.braendli@mpb.li
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+import cherrypy
+from cherrypy.lib.httputil import parse_query_string
+
+import json
+import urllib
+import os
+
+import io
+import datetime
+import threading
+
+def send_ok(data=None):
+    if data is not None:
+        return {'status' : 'ok', 'data': data}
+    else:
+        return {'status': 'ok'}
+
+def send_error(reason=""):
+    if reason:
+        return {'status' : 'error', 'reason': reason}
+    else:
+        return {'status' : 'error'}
+
+class RXThread(threading.Thread):
+    def __init__(self, api):
+        super(RXThread, self).__init__()
+        self.api = api
+        self.running = False
+        self.daemon = True
+
+    def cancel(self):
+        self.running = False
+
+    def run(self):
+        self.running = True
+        while self.running:
+            if self.api.dpd_pipe.poll(1):
+                rx = self.api.dpd_pipe.recv()
+                if rx['cmd'] == "quit":
+                    break
+                elif rx['cmd'] == "dpd-state":
+                    self.api.dpd_state = rx['data']
+                elif rx['cmd'] == "dpd-calibration-result":
+                    self.api.calibration_result = rx['data']
+
+class API:
+    def __init__(self, mod_rc, dpd_pipe):
+        self.mod_rc = mod_rc
+        self.dpd_pipe = dpd_pipe
+        self.dpd_state = None
+        self.calibration_result = None
+        self.receive_thread = RXThread(self)
+        self.receive_thread.start()
+
+    @cherrypy.expose
+    def index(self):
+        return """This is the api area."""
+
+    @cherrypy.expose
+    @cherrypy.tools.json_out()
+    def rc_parameters(self):
+        return send_ok(self.mod_rc.get_modules())
+
+    @cherrypy.expose
+    @cherrypy.tools.json_out()
+    def parameter(self, **kwargs):
+        if cherrypy.request.method == 'POST':
+            cl = cherrypy.request.headers['Content-Length']
+            rawbody = cherrypy.request.body.read(int(cl))
+            params = json.loads(rawbody.decode())
+            try:
+                self.mod_rc.set_param_value(params['controllable'], params['param'], params['value'])
+            except ValueError as e:
+                cherrypy.response.status = 400
+                return send_error(str(e))
+            return send_ok()
+        else:
+            cherrypy.response.status = 400
+            return send_error("POST only")
+
+    @cherrypy.expose
+    @cherrypy.tools.json_out()
+    def trigger_capture(self, **kwargs):
+        if cherrypy.request.method == 'POST':
+            self.dpd_pipe.send({'cmd': "dpd-capture"})
+            return send_ok()
+        else:
+            cherrypy.response.status = 400
+            return send_error("POST only")
+
+    @cherrypy.expose
+    @cherrypy.tools.json_out()
+    def dpd_status(self, **kwargs):
+        if self.dpd_state is not None:
+            return send_ok(self.dpd_state)
+        else:
+            return send_error("DPD state unknown")
+
+    @cherrypy.expose
+    @cherrypy.tools.json_out()
+    def calibrate(self, **kwargs):
+        if cherrypy.request.method == 'POST':
+            self.dpd_pipe.send({'cmd': "dpd-calibrate"})
+            return send_ok()
+        else:
+            if self.calibration_result is not None:
+                return send_ok(self.calibration_result)
+            else:
+                return send_error("DPD calibration result unknown")
+
diff --git a/python/gui/configuration.py b/python/gui/configuration.py
new file mode 100644
index 0000000..4af1abd
--- /dev/null
+++ b/python/gui/configuration.py
@@ -0,0 +1,44 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+#   Copyright (C) 2018
+#   Matthias P. Braendli, matthias.braendli@mpb.li
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+import json
+
+class ConfigurationNotPresent:
+    pass
+
+class Configuration:
+    def __init__(self, configfilename="ui-config.json"):
+        self.config = None
+
+        try:
+            fd = open(configfilename, "r")
+            self.config = json.load(fd)
+        except json.JSONDecodeError:
+            pass
+        except OSError:
+            pass
+
+    def get_key(self, key):
+        if self.config is None:
+            raise ConfigurationNotPresent()
+        else:
+            return self.config[key]
diff --git a/python/gui/dpd/Align.py b/python/gui/dpd/Align.py
new file mode 100644
index 0000000..1634ec8
--- /dev/null
+++ b/python/gui/dpd/Align.py
@@ -0,0 +1,166 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, utility to do subsample alignment.
+#
+#   Copyright (c) 2017 Andreas Steger
+#   Copyright (c) 2018 Matthias P. Braendli
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+import datetime
+import os
+import numpy as np
+from scipy import optimize
+import matplotlib.pyplot as plt
+
+def gen_omega(length):
+    if (length % 2) == 1:
+        raise ValueError("Needs an even length array.")
+
+    halflength = int(length / 2)
+    factor = 2.0 * np.pi / length
+
+    omega = np.zeros(length, dtype=np.float)
+    for i in range(halflength):
+        omega[i] = factor * i
+
+    for i in range(halflength, length):
+        omega[i] = factor * (i - length)
+
+    return omega
+
+
+def subsample_align(sig, ref_sig, plot_location=None):
+    """Do subsample alignment for sig relative to the reference signal
+    ref_sig. The delay between the two must be less than sample
+
+    Returns the aligned signal"""
+
+    n = len(sig)
+    if (n % 2) == 1:
+        raise ValueError("Needs an even length signal.")
+    halflen = int(n / 2)
+
+    fft_sig = np.fft.fft(sig)
+
+    omega = gen_omega(n)
+
+    def correlate_for_delay(tau):
+        # A subsample offset between two signals corresponds, in the frequency
+        # domain, to a linearly increasing phase shift, whose slope
+        # corresponds to the delay.
+        #
+        # Here, we build this phase shift in rotate_vec, and multiply it with
+        # our signal.
+
+        rotate_vec = np.exp(1j * tau * omega)
+        # zero-frequency is rotate_vec[0], so rotate_vec[N/2] is the
+        # bin corresponding to the [-1, 1, -1, 1, ...] time signal, which
+        # is both the maximum positive and negative frequency.
+        # I don't remember why we handle it differently.
+        rotate_vec[halflen] = np.cos(np.pi * tau)
+
+        corr_sig = np.fft.ifft(rotate_vec * fft_sig)
+
+        return -np.abs(np.sum(np.conj(corr_sig) * ref_sig))
+
+    optim_result = optimize.minimize_scalar(correlate_for_delay, bounds=(-1, 1), method='bounded',
+                                            options={'disp': True})
+
+    if optim_result.success:
+        best_tau = optim_result.x
+
+        if plot_location is not None:
+            corr = np.vectorize(correlate_for_delay)
+            ixs = np.linspace(-1, 1, 100)
+            taus = corr(ixs)
+
+            dt = datetime.datetime.now().isoformat()
+            tau_path = (plot_location + "/" + dt + "_tau.png")
+            plt.plot(ixs, taus)
+            plt.title("Subsample correlation, minimum is best: {}".format(best_tau))
+            plt.savefig(tau_path)
+            plt.close()
+
+        # Prepare rotate_vec = fft_sig with rotated phase
+        rotate_vec = np.exp(1j * best_tau * omega)
+        rotate_vec[halflen] = np.cos(np.pi * best_tau)
+        return np.fft.ifft(rotate_vec * fft_sig).astype(np.complex64)
+    else:
+        # print("Could not optimize: " + optim_result.message)
+        return np.zeros(0, dtype=np.complex64)
+
+def phase_align(sig, ref_sig, plot_location=None):
+    """Do phase alignment for sig relative to the reference signal
+    ref_sig.
+
+    Returns the aligned signal"""
+
+    angle_diff = (np.angle(sig) - np.angle(ref_sig)) % (2. * np.pi)
+
+    real_diffs = np.cos(angle_diff)
+    imag_diffs = np.sin(angle_diff)
+
+    if plot_location is not None:
+        dt = datetime.datetime.now().isoformat()
+        fig_path = plot_location + "/" + dt + "_phase_align.png"
+
+        plt.subplot(511)
+        plt.hist(angle_diff, bins=60, label="Angle Diff")
+        plt.xlabel("Angle")
+        plt.ylabel("Count")
+        plt.legend(loc=4)
+
+        plt.subplot(512)
+        plt.hist(real_diffs, bins=60, label="Real Diff")
+        plt.xlabel("Real Part")
+        plt.ylabel("Count")
+        plt.legend(loc=4)
+
+        plt.subplot(513)
+        plt.hist(imag_diffs, bins=60, label="Imaginary Diff")
+        plt.xlabel("Imaginary Part")
+        plt.ylabel("Count")
+        plt.legend(loc=4)
+
+        plt.subplot(514)
+        plt.plot(np.angle(ref_sig[:128]), label="ref_sig")
+        plt.plot(np.angle(sig[:128]), label="sig")
+        plt.xlabel("Angle")
+        plt.ylabel("Sample")
+        plt.legend(loc=4)
+
+    real_diff = np.median(real_diffs)
+    imag_diff = np.median(imag_diffs)
+
+    angle = np.angle(real_diff + 1j * imag_diff)
+
+    #logging.debug( "Compensating phase by {} rad, {} degree. real median {}, imag median {}".format( angle, angle*180./np.pi, real_diff, imag_diff))
+    sig = sig * np.exp(1j * -angle)
+
+    if plot_location is not None:
+        plt.subplot(515)
+        plt.plot(np.angle(ref_sig[:128]), label="ref_sig")
+        plt.plot(np.angle(sig[:128]), label="sig")
+        plt.xlabel("Angle")
+        plt.ylabel("Sample")
+        plt.legend(loc=4)
+        plt.tight_layout()
+        plt.savefig(fig_path)
+        plt.close()
+
+    return sig
diff --git a/python/gui/dpd/Capture.py b/python/gui/dpd/Capture.py
new file mode 100644
index 0000000..7d95f90
--- /dev/null
+++ b/python/gui/dpd/Capture.py
@@ -0,0 +1,253 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine, Capture TX signal and RX feedback using ODR-DabMod's
+# DPD Server.
+#
+#   Copyright (c) 2017 Andreas Steger
+#   Copyright (c) 2018 Matthias P. Braendli
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+import socket
+import struct
+import os.path
+import logging
+import numpy as np
+from scipy import signal
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import io
+
+from . import Align as sa
+
+def correlation_coefficient(sig_tx, sig_rx):
+    return np.corrcoef(sig_tx, sig_rx)[0, 1]
+
+def align_samples(sig_tx, sig_rx):
+    """
+    Returns an aligned version of sig_tx and sig_rx by cropping, subsample alignment and
+    correct phase offset
+    """
+
+    # Coarse sample-level alignment
+    c = np.abs(signal.correlate(sig_rx, sig_tx))
+    off_meas = np.argmax(c) - sig_tx.shape[0] + 1
+    off = int(abs(off_meas))
+
+    if off_meas > 0:
+        sig_tx = sig_tx[:-off]
+        sig_rx = sig_rx[off:]
+    elif off_meas < 0:
+        sig_tx = sig_tx[off:]
+        sig_rx = sig_rx[:-off]
+
+    if off % 2 == 1:
+        sig_tx = sig_tx[:-1]
+        sig_rx = sig_rx[:-1]
+
+    # Fine subsample alignment and phase offset
+    sig_rx = sa.subsample_align(sig_rx, sig_tx)
+    sig_rx = sa.phase_align(sig_rx, sig_tx)
+    return sig_tx, sig_rx, abs(off_meas)
+
+class Capture:
+    """Capture samples from ODR-DabMod"""
+    def __init__(self, samplerate, port, num_samples_to_request, plot_dir):
+        self.samplerate = samplerate
+        self.sizeof_sample = 8 # complex floats
+        self.port = port
+        self.num_samples_to_request = num_samples_to_request
+        self.plot_dir = plot_dir
+
+        # Before we run the samples through the model, we want to accumulate
+        # them into bins depending on their amplitude, and keep only n_per_bin
+        # samples to avoid that the polynomial gets overfitted in the low-amplitude
+        # part, which is less interesting than the high-amplitude part, where
+        # non-linearities become apparent.
+        self.binning_n_bins = 64  # Number of bins between binning_start and binning_end
+        self.binning_n_per_bin = 128  # Number of measurements pre bin
+
+        self.rx_normalisation = 1.0
+
+        self.clear_accumulated()
+
+    def clear_accumulated(self):
+        self.binning_start = 0.0
+        self.binning_end = 1.0
+
+        # axis 0: bins
+        # axis 1: 0=tx, 1=rx
+        self.accumulated_bins = [np.zeros((0, 2), dtype=np.complex64) for i in range(self.binning_n_bins)]
+
+    def _recv_exact(self, sock, num_bytes):
+        """Receive an exact number of bytes from a socket. This is
+        a wrapper around sock.recv() that can return less than the number
+        of requested bytes.
+
+        Args:
+            sock (socket): Socket to receive data from.
+            num_bytes (int): Number of bytes that will be returned.
+        """
+        bufs = []
+        while num_bytes > 0:
+            b = sock.recv(num_bytes)
+            if len(b) == 0:
+                break
+            num_bytes -= len(b)
+            bufs.append(b)
+        return b''.join(bufs)
+
+    def receive_tcp(self):
+        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+        s.settimeout(4)
+        s.connect(('localhost', self.port))
+
+        logging.debug("Send version")
+        s.sendall(b"\x01")
+
+        logging.debug("Send request for {} samples".format(self.num_samples_to_request))
+        s.sendall(struct.pack("=I", self.num_samples_to_request))
+
+        logging.debug("Wait for TX metadata")
+        num_samps, tx_second, tx_pps = struct.unpack("=III", self._recv_exact(s, 12))
+        tx_ts = tx_second + tx_pps / 16384000.0
+
+        if num_samps > 0:
+            logging.debug("Receiving {} TX samples".format(num_samps))
+            txframe_bytes = self._recv_exact(s, num_samps * self.sizeof_sample)
+            txframe = np.fromstring(txframe_bytes, dtype=np.complex64)
+        else:
+            txframe = np.array([], dtype=np.complex64)
+
+        logging.debug("Wait for RX metadata")
+        rx_second, rx_pps = struct.unpack("=II", self._recv_exact(s, 8))
+        rx_ts = rx_second + rx_pps / 16384000.0
+
+        if num_samps > 0:
+            logging.debug("Receiving {} RX samples".format(num_samps))
+            rxframe_bytes = self._recv_exact(s, num_samps * self.sizeof_sample)
+            rxframe = np.fromstring(rxframe_bytes, dtype=np.complex64)
+        else:
+            rxframe = np.array([], dtype=np.complex64)
+
+        if logging.getLogger().getEffectiveLevel() == logging.DEBUG:
+            logging.debug('txframe: min {}, max {}, median {}'.format(
+                          np.min(np.abs(txframe)),
+                          np.max(np.abs(txframe)),
+                          np.median(np.abs(txframe))))
+
+            logging.debug('rxframe: min {}, max {}, median {}'.format(
+                          np.min(np.abs(rxframe)),
+                          np.max(np.abs(rxframe)),
+                          np.median(np.abs(rxframe))))
+
+        logging.debug("Disconnecting")
+        s.close()
+
+        return txframe, tx_ts, rxframe, rx_ts
+
+    def _plot_spectrum(self, signal, filename, title):
+        fig = plt.figure()
+        ax = plt.subplot(1, 1, 1)
+
+        fft = np.fft.fftshift(np.fft.fft(signal))
+        fft_db = 20 * np.log10(np.abs(fft))
+
+        ax.plot(fft_db)
+        ax.set_title(title)
+        fig.tight_layout()
+        fig.savefig(os.path.join(self.plot_dir, filename))
+        plt.close(fig)
+
+    def calibrate(self):
+        txframe, tx_ts, rxframe, rx_ts = self.receive_tcp()
+
+        # Normalize received signal with sent signal
+        tx_median = np.median(np.abs(txframe))
+        rx_median = np.median(np.abs(rxframe))
+        self.rx_normalisation = tx_median / rx_median
+
+        rxframe = rxframe * self.rx_normalisation
+        txframe_aligned, rxframe_aligned, coarse_offset = align_samples(txframe, rxframe)
+
+        self._plot_spectrum(rxframe[:8192], "rxframe.png", "RX Frame")
+        self._plot_spectrum(txframe[:8192], "txframe.png", "RX Frame")
+
+        return tx_ts, tx_median, rx_ts, rx_median, np.abs(coarse_offset), correlation_coefficient(txframe_aligned, rxframe_aligned)
+
+    def get_samples(self):
+        """Connect to ODR-DabMod, retrieve TX and RX samples, load
+        into numpy arrays, and return a tuple
+        (txframe_aligned, tx_ts, tx_median, rxframe_aligned, rx_ts, rx_median)
+        """
+
+        txframe, tx_ts, rxframe, rx_ts = self.receive_tcp()
+
+        # Normalize received signal with calibrated normalisation
+        rxframe = rxframe * self.rx_normalisation
+        txframe_aligned, rxframe_aligned, coarse_offset = align_samples(txframe, rxframe)
+        self._bin_and_accumulate(txframe_aligned, rxframe_aligned)
+        return txframe_aligned, tx_ts, tx_median, rxframe_aligned, rx_ts, rx_median
+
+    def bin_histogram(self):
+        return [b.shape[0] for b in self.accumulated_bins]
+
+    def pointcloud_png(self):
+        fig = plt.figure()
+        ax = plt.subplot(1, 1, 1)
+        for b in self.accumulated_bins:
+            if b:
+                ax.scatter(
+                        np.abs(b[0]),
+                        np.abs(b[1]),
+                        s=0.1,
+                        color="black")
+        ax.set_title("Captured and Binned Samples")
+        ax.set_xlabel("TX Amplitude")
+        ax.set_ylabel("RX Amplitude")
+        ax.set_ylim(0, 0.8)
+        ax.set_xlim(0, 1.1)
+        ax.legend(loc=4)
+        fig.tight_layout()
+        fig.savefig(os.path.join(self.plot_dir, "pointcloud.png"))
+        plt.close(fig)
+
+    def _bin_and_accumulate(self, txframe, rxframe):
+        """Bin the samples and extend the accumulated samples"""
+
+        bin_edges = np.linspace(self.binning_start, self.binning_end, self.binning_n_bins)
+
+        minsize = self.num_samples_to_request
+
+        for i, (tx_start, tx_end) in enumerate(zip(bin_edges, bin_edges[1:])):
+            txframe_abs = np.abs(txframe)
+            indices = np.bitwise_and(tx_start < txframe_abs, txframe_abs <= tx_end)
+            txsamples = np.asmatrix(txframe[indices])
+            rxsamples = np.asmatrix(rxframe[indices])
+            binned_sample_pairs = np.concatenate((txsamples, rxsamples)).T
+
+            missing_in_bin = self.binning_n_per_bin - self.accumulated_bins[i].shape[0]
+            num_to_append = min(missing_in_bin, binned_sample_pairs.shape[0])
+            print("Handling bin {} {}-{}, {} available, {} missing".format(i, tx_start, tx_end, binned_sample_pairs.shape[0], missing_in_bin))
+            if num_to_append:
+                print("Appending {} to bin {} with shape {}".format(num_to_append, i, self.accumulated_bins[i].shape))
+
+                self.accumulated_bins[i] = np.concatenate((self.accumulated_bins[i], binned_sample_pairs[:num_to_append,...]))
+                print("{} now has shape {}".format(i, self.accumulated_bins[i].shape))
+
diff --git a/python/gui/dpd/__init__.py b/python/gui/dpd/__init__.py
new file mode 100644
index 0000000..9009436
--- /dev/null
+++ b/python/gui/dpd/__init__.py
@@ -0,0 +1,93 @@
+# -*- coding: utf-8 -*-
+#
+# DPD Computation Engine module
+#
+#   Copyright (c) 2017 Andreas Steger
+#   Copyright (c) 2018 Matthias P. Braendli
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+from . import Capture
+import numpy as np
+
+class DPD:
+    def __init__(self, plot_dir, samplerate=8192000):
+        self.samplerate = samplerate
+
+        oversample = int(self.samplerate / 2048000)
+        self.T_F = oversample * 196608  # Transmission frame duration
+        self.T_NULL = oversample * 2656  # Null symbol duration
+        self.T_S = oversample * 2552  # Duration of OFDM symbols of indices l = 1, 2, 3,... L;
+        self.T_U = oversample * 2048  # Inverse of carrier spacing
+        self.T_C = oversample * 504  # Duration of cyclic prefix
+
+        self.last_capture_info = {}
+
+        port = 50055
+        samples_to_capture = 81920
+        self.capture = Capture.Capture(self.samplerate, port, samples_to_capture, plot_dir)
+
+    def status(self):
+        r = {}
+        r['histogram'] = self.capture.bin_histogram()
+        r['capture'] = self.last_capture_info
+        return r
+
+    def pointcloud_png(self):
+        return self.capture.pointcloud_png()
+
+    def clear_accumulated(self):
+        return self.capture.clear_accumulated()
+
+    def capture_calibration(self):
+        tx_ts, tx_median, rx_ts, rx_median, coarse_offset, correlation_coefficient = self.capture.calibrate()
+        result = {'status': "ok"}
+        result['tx_median'] = "{:.2f}dB".format(20*np.log10(tx_median))
+        result['rx_median'] = "{:.2f}dB".format(20*np.log10(rx_median))
+        result['tx_ts'] = tx_ts
+        result['rx_ts'] = rx_ts
+        result['coarse_offset'] = int(coarse_offset)
+        result['correlation'] = float(correlation_coefficient)
+        return result
+
+    def capture_samples(self):
+        """Captures samples and store them in the accumulated samples,
+        returns a dict with some info"""
+        result = {}
+        try:
+            txframe_aligned, tx_ts, tx_median, rxframe_aligned, rx_ts, rx_median = self.capture.get_samples()
+            result['status'] = "ok"
+            result['length'] = len(txframe_aligned)
+            result['tx_median'] = float(tx_median)
+            result['rx_median'] = float(rx_median)
+            result['tx_ts'] = tx_ts
+            result['rx_ts'] = rx_ts
+        except ValueError as e:
+            result['status'] = "Capture failed: {}".format(e)
+
+        self.last_capture_info = result
+
+        # tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned)
+        # off = SA.calc_offset(txframe_aligned)
+        # print("off {}".format(off))
+        # tx_mer = MER.calc_mer(txframe_aligned[off:off + c.T_U], debug_name='TX')
+        # print("tx_mer {}".format(tx_mer))
+        # rx_mer = MER.calc_mer(rxframe_aligned[off:off + c.T_U], debug_name='RX')
+        # print("rx_mer {}".format(rx_mer))
+        # mse = np.mean(np.abs((txframe_aligned - rxframe_aligned) ** 2))
+        # print("mse {}".format(mse))
diff --git a/python/gui/logs/.keep b/python/gui/logs/.keep
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/python/gui/logs/.keep
diff --git a/python/gui/run.py b/python/gui/run.py
new file mode 100755
index 0000000..b83dd14
--- /dev/null
+++ b/python/gui/run.py
@@ -0,0 +1,166 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+#   Copyright (C) 2018
+#   Matthias P. Braendli, matthias.braendli@mpb.li
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+import configuration
+from multiprocessing import Process, Pipe
+import os.path
+import cherrypy
+import argparse
+from jinja2 import Environment, FileSystemLoader
+from api import API
+import zmqrc
+import dpd
+
+env = Environment(loader=FileSystemLoader('templates'))
+
+base_js = ["js/odr.js"]
+
+class Root:
+    def __init__(self, config_file, dpd_pipe):
+        self.config_file = config_file
+        self.conf = configuration.Configuration(self.config_file)
+        self.mod_rc = zmqrc.ModRemoteControl("localhost")
+        self.api = API(self.mod_rc, dpd_pipe)
+
+    @cherrypy.expose
+    def index(self):
+        raise cherrypy.HTTPRedirect('/home')
+
+    @cherrypy.expose
+    def about(self):
+        tmpl = env.get_template("about.html")
+        return tmpl.render(tab='about', js=base_js, is_login=False)
+
+    @cherrypy.expose
+    def home(self):
+        tmpl = env.get_template("home.html")
+        return tmpl.render(tab='home', js=base_js, is_login=False)
+
+    @cherrypy.expose
+    def rcvalues(self):
+        tmpl = env.get_template("rcvalues.html")
+        js = base_js + ["js/odr-rcvalues.js"]
+        return tmpl.render(tab='rcvalues', js=js, is_login=False)
+
+    @cherrypy.expose
+    def modulator(self):
+        tmpl = env.get_template("modulator.html")
+        js = base_js + ["js/odr-modulator.js"]
+        return tmpl.render(tab='modulator', js=js, is_login=False)
+
+    @cherrypy.expose
+    def predistortion(self):
+        tmpl = env.get_template("predistortion.html")
+        js = base_js + ["js/odr-predistortion.js"]
+        return tmpl.render(tab='predistortion', js=js, is_login=False)
+
+class DPDRunner:
+    def __init__(self, static_dir):
+        self.web_end, self.dpd_end = Pipe()
+        self.dpd = dpd.DPD(static_dir)
+
+    def __enter__(self):
+        self.p = Process(target=self._handle_messages)
+        self.p.start()
+        return self.web_end
+
+    def _handle_messages(self):
+        while True:
+            rx = self.dpd_end.recv()
+            if rx['cmd'] == "quit":
+                break
+            elif rx['cmd'] == "dpd-capture":
+                self.dpd.capture_samples()
+            elif rx['cmd'] == "dpd-calibrate":
+                self.dpd_end.send({'cmd': "dpd-calibration-result",
+                    'data': self.dpd.capture_calibration()})
+
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.web_end.send({'cmd': "quit"})
+        self.p.join()
+        return False
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='ODR-DabMod Web GUI')
+    parser.add_argument('-c', '--config',
+            default="ui-config.json",
+            help='configuration filename')
+    cli_args = parser.parse_args()
+
+    config = configuration.Configuration(cli_args.config)
+    if config.config is None:
+        print("Configuration file is missing or is not readable - {}".format(cli_args.config))
+        sys.exit(1)
+
+    if config.config['global']['daemon']:
+        cherrypy.process.plugins.Daemonizer(cherrypy.engine).subscribe()
+
+    accesslog = os.path.realpath(os.path.join(config.config['global']['logs_directory'], 'access.log'))
+    errorlog = os.path.realpath(os.path.join(config.config['global']['logs_directory'], 'error.log'))
+
+    cherrypy.config.update({
+            'engine.autoreload.on': True,
+            'server.socket_host': config.config['global']['host'],
+            'server.socket_port': int(config.config['global']['port']),
+            'request.show_tracebacks' : True,
+            'tools.sessions.on': False,
+            'tools.encode.on': True,
+            'tools.encode.encoding': "utf-8",
+            'log.access_file': accesslog,
+            'log.error_file': errorlog,
+            'log.screen': True,
+            })
+
+    staticdir = os.path.realpath(config.config['global']['static_directory'])
+
+    with DPDRunner(os.path.join(staticdir, "dpd")) as dpd_pipe:
+        cherrypy.tree.mount(
+                Root(cli_args.config, dpd_pipe), config={
+                    '/': { },
+                    '/dpd': {
+                        'tools.staticdir.on': True,
+                        'tools.staticdir.dir': os.path.join(staticdir, u"dpd/")
+                        },
+                    '/css': {
+                        'tools.staticdir.on': True,
+                        'tools.staticdir.dir': os.path.join(staticdir, u"css/")
+                        },
+                    '/js': {
+                        'tools.staticdir.on': True,
+                        'tools.staticdir.dir': os.path.join(staticdir, u"js/")
+                        },
+                    '/fonts': {
+                        'tools.staticdir.on': True,
+                        'tools.staticdir.dir': os.path.join(staticdir, u"fonts/")
+                        },
+                    '/favicon.ico': {
+                        'tools.staticfile.on': True,
+                        'tools.staticfile.filename': os.path.join(staticdir, u"fonts/favicon.ico")
+                        },
+                    }
+                )
+
+        cherrypy.engine.start()
+        cherrypy.engine.block()
+
diff --git a/python/gui/static/css/bootstrap.min.css b/python/gui/static/css/bootstrap.min.css
new file mode 100644
index 0000000..28f154d
--- /dev/null
+++ b/python/gui/static/css/bootstrap.min.css
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap v3.3.2 (http://getbootstrap.com)
+ * Copyright 2011-2015 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ *//*! normalize.css v3.0.2 | MIT License | git.io/normalize */html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}/*! 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diff --git a/python/gui/static/css/jquery.gritter.css b/python/gui/static/css/jquery.gritter.css
new file mode 100755
index 0000000..bd13a9c
--- /dev/null
+++ b/python/gui/static/css/jquery.gritter.css
@@ -0,0 +1,100 @@
+/* the norm */
+#gritter-notice-wrapper {
+	position:fixed;
+	top:60px;
+	right:15px;
+	width:301px;
+	z-index:9999;
+}
+#gritter-notice-wrapper.top-left {
+    left: 20px;
+    right: auto;
+}
+#gritter-notice-wrapper.bottom-right {
+    top: auto;
+    left: auto;
+    bottom: 20px;
+    right: 20px;
+}
+#gritter-notice-wrapper.bottom-left {
+    top: auto;
+    right: auto;
+    bottom: 20px;
+    left: 20px;
+}
+.gritter-item-wrapper {
+	position:relative;
+	margin:0 0 10px 0;
+	background:url('/fonts/ie-spacer.gif'); /* ie7/8 fix */ 
+}
+.gritter-top {
+	background:url(/fonts/gritter.png) no-repeat left -30px;
+	height:10px;
+}
+.hover .gritter-top {
+	background-position:right -30px;
+}
+.gritter-bottom {
+	background:url(/fonts/gritter.png) no-repeat left bottom;
+	height:8px;
+	margin:0;
+}
+.hover .gritter-bottom {
+	background-position: bottom right;
+}
+.gritter-item {
+	display:block;
+	background:url(/fonts/gritter.png) no-repeat left -40px;
+	color:#eee;
+	padding:2px 11px 8px 11px;
+	font-size: 11px;
+	font-family:verdana;
+}
+.hover .gritter-item {
+	background-position:right -40px;
+}
+.gritter-item p {
+	padding:0;
+	margin:0;
+}
+.gritter-close {
+	display:none;
+	position:absolute;
+	top:5px;
+	left:3px;
+	background:url(/fonts/gritter.png) no-repeat left top;
+	cursor:pointer;
+	width:30px;
+	height:30px;
+}
+.gritter-title {
+	font-size:14px;
+	font-weight:bold;
+	padding:0 0 7px 0;
+	display:block;
+	text-shadow:1px 1px 0 #000; /* Not supported by IE :( */
+}
+.gritter-image {
+	width:48px;
+	height:48px;
+	float:left;
+}
+.gritter-with-image,
+.gritter-without-image {
+	padding:0 0 5px 0;
+}
+.gritter-with-image {
+	width:220px;
+	float:right;
+}
+/* for the light (white) version of the gritter notice */
+.gritter-light .gritter-item,
+.gritter-light .gritter-bottom,
+.gritter-light .gritter-top,
+.gritter-close {
+    background-image: url(/fonts/gritter-light.png);
+    color: #222;
+}
+.gritter-light .gritter-title {
+    text-shadow: none;
+}
diff --git a/python/gui/static/dpd/index.txt b/python/gui/static/dpd/index.txt
new file mode 100644
index 0000000..f8b8874
--- /dev/null
+++ b/python/gui/static/dpd/index.txt
@@ -0,0 +1 @@
+This folder contains plots generated by the DPDCE
diff --git a/python/gui/static/fonts/accept.png b/python/gui/static/fonts/accept.png
new file mode 100644
index 0000000..0a2b4f3
--- /dev/null
+++ b/python/gui/static/fonts/accept.png
diff --git a/python/gui/static/fonts/favicon.ico b/python/gui/static/fonts/favicon.ico
new file mode 100644
index 0000000..29817c8
--- /dev/null
+++ b/python/gui/static/fonts/favicon.ico
diff --git a/python/gui/static/fonts/glyphicons-halflings-regular.eot b/python/gui/static/fonts/glyphicons-halflings-regular.eot
new file mode 100644
index 0000000..b93a495
--- /dev/null
+++ b/python/gui/static/fonts/glyphicons-halflings-regular.eot
diff --git a/python/gui/static/fonts/glyphicons-halflings-regular.svg b/python/gui/static/fonts/glyphicons-halflings-regular.svg
new file mode 100644
index 0000000..94fb549
--- /dev/null
+++ b/python/gui/static/fonts/glyphicons-halflings-regular.svg
@@ -0,0 +1,288 @@
+<?xml version="1.0" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
+<svg xmlns="http://www.w3.org/2000/svg">
+<metadata></metadata>
+<defs>
+<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
+<font-face units-per-em="1200" ascent="960" descent="-240" />
+<missing-glyph horiz-adv-x="500" />
+<glyph horiz-adv-x="0" />
+<glyph horiz-adv-x="400" />
+<glyph unicode=" " />
+<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
+<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
+<glyph unicode="&#xa0;" />
+<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
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\ No newline at end of file
diff --git a/python/gui/static/js/jquery.gritter.js b/python/gui/static/js/jquery.gritter.js
new file mode 100644
index 0000000..6f78775
--- /dev/null
+++ b/python/gui/static/js/jquery.gritter.js
@@ -0,0 +1,408 @@
+/*

+ * Gritter for jQuery

+ * http://www.boedesign.com/

+ *

+ * Copyright (c) 2011 Jordan Boesch

+ * Dual licensed under the MIT and GPL licenses.

+ *

+ * Date: December 8, 2011

+ * Version: 1.7.3

+ */

+

+(function($){

+ 	

+	/**

+	* Set it up as an object under the jQuery namespace

+	*/

+	$.gritter = {};

+	

+	/**

+	* Set up global options that the user can over-ride

+	*/

+	$.gritter.options = {

+        position: '',

+        class_name: '', // could be set to 'gritter-light' to use white notifications

+		fade_in_speed: 'medium', // how fast notifications fade in

+		fade_out_speed: 1000, // how fast the notices fade out

+		time: 6000 // hang on the screen for...

+	}

+	

+	/**

+	* Add a gritter notification to the screen

+	* @see Gritter#add();

+	*/

+	$.gritter.add = function(params){

+

+		try {

+			return Gritter.add(params || {});

+		} catch(e) {

+		

+			var err = 'Gritter Error: ' + e;

+			(typeof(console) != 'undefined' && console.error) ? 

+				console.error(err, params) : 

+				alert(err);

+				

+		}

+		

+	}

+	

+	/**

+	* Remove a gritter notification from the screen

+	* @see Gritter#removeSpecific();

+	*/

+	$.gritter.remove = function(id, params){

+		Gritter.removeSpecific(id, params || {});

+	}

+	

+	/**

+	* Remove all notifications

+	* @see Gritter#stop();

+	*/

+	$.gritter.removeAll = function(params){

+		Gritter.stop(params || {});

+	}

+	

+	/**

+	* Big fat Gritter object

+	* @constructor (not really since its object literal)

+	*/

+	var Gritter = {

+	    

+		// Public - options to over-ride with $.gritter.options in "add"

+        position: '',

+		fade_in_speed: '',

+		fade_out_speed: '',

+		time: '',

+	    

+		// Private - no touchy the private parts

+		_custom_timer: 0,

+		_item_count: 0,

+		_is_setup: 0,

+		_tpl_close: '<div class="gritter-close"></div>',

+		_tpl_item: '<div id="gritter-item-[[number]]" class="gritter-item-wrapper [[item_class]]" style="display:none"><div class="gritter-top"></div><div class="gritter-item">[[close]][[image]]<div class="[[class_name]]"><span class="gritter-title">[[username]]</span><p>[[text]]</p></div><div style="clear:both"></div></div><div class="gritter-bottom"></div></div>',

+		_tpl_wrap: '<div id="gritter-notice-wrapper"></div>',

+	    

+		/**

+		* Add a gritter notification to the screen

+		* @param {Object} params The object that contains all the options for drawing the notification

+		* @return {Integer} The specific numeric id to that gritter notification

+		*/

+		add: function(params){

+	        

+			// We might have some issues if we don't have a title or text!

+			if(!params.title || !params.text){

+				throw 'You need to fill out the first 2 params: "title" and "text"'; 

+			}

+			

+			// Check the options and set them once

+			if(!this._is_setup){

+				this._runSetup();

+			}

+	        

+			// Basics

+			var user = params.title, 

+				text = params.text,

+				image = params.image || '',

+				sticky = params.sticky || false,

+				item_class = params.class_name || $.gritter.options.class_name,

+                position = $.gritter.options.position,

+				time_alive = params.time || '';

+

+			this._verifyWrapper();

+			

+			this._item_count++;

+			var number = this._item_count, 

+				tmp = this._tpl_item;

+			

+			// Assign callbacks

+			$(['before_open', 'after_open', 'before_close', 'after_close']).each(function(i, val){

+				Gritter['_' + val + '_' + number] = ($.isFunction(params[val])) ? params[val] : function(){}

+			});

+

+			// Reset

+			this._custom_timer = 0;

+			

+			// A custom fade time set

+			if(time_alive){

+				this._custom_timer = time_alive;

+			}

+			

+			var image_str = (image != '') ? '<img src="' + image + '" class="gritter-image" />' : '',

+				class_name = (image != '') ? 'gritter-with-image' : 'gritter-without-image';

+			

+			// String replacements on the template

+			tmp = this._str_replace(

+				['[[username]]', '[[text]]', '[[close]]', '[[image]]', '[[number]]', '[[class_name]]', '[[item_class]]'],

+				[user, text, this._tpl_close, image_str, this._item_count, class_name, item_class], tmp

+			);

+

+            // If it's false, don't show another gritter message

+			if(this['_before_open_' + number]() === false){

+                return false;

+            }

+

+			$('#gritter-notice-wrapper').addClass(position).append(tmp);

+			

+			var item = $('#gritter-item-' + this._item_count);

+			

+			item.fadeIn(this.fade_in_speed, function(){

+				Gritter['_after_open_' + number]($(this));

+			});

+	        

+			if(!sticky){

+				this._setFadeTimer(item, number);

+			}

+			

+			// Bind the hover/unhover states

+			$(item).bind('mouseenter mouseleave', function(event){

+				if(event.type == 'mouseenter'){

+					if(!sticky){ 

+						Gritter._restoreItemIfFading($(this), number);

+					}

+				}

+				else {

+					if(!sticky){

+						Gritter._setFadeTimer($(this), number);

+					}

+				}

+				Gritter._hoverState($(this), event.type);

+			});

+			

+			return number;

+	    

+		},

+		

+		/**

+		* If we don't have any more gritter notifications, get rid of the wrapper using this check

+		* @private

+		* @param {Integer} unique_id The ID of the element that was just deleted, use it for a callback

+		* @param {Object} e The jQuery element that we're going to perform the remove() action on

+		* @param {Boolean} manual_close Did we close the gritter dialog with the (X) button

+        */

+		_countRemoveWrapper: function(unique_id, e, manual_close){

+		    

+			// Remove it then run the callback function

+			e.remove();

+			this['_after_close_' + unique_id](e, manual_close);

+			

+			// Check if the wrapper is empty, if it is.. remove the wrapper

+			if($('.gritter-item-wrapper').length == 0){

+				$('#gritter-notice-wrapper').remove();

+			}

+		

+		},

+		

+		/**

+		* Fade out an element after it's been on the screen for x amount of time

+		* @private

+		* @param {Object} e The jQuery element to get rid of

+		* @param {Integer} unique_id The id of the element to remove

+		* @param {Object} params An optional list of params to set fade speeds etc.

+		* @param {Boolean} unbind_events Unbind the mouseenter/mouseleave events if they click (X)

+		*/

+		_fade: function(e, unique_id, params, unbind_events){

+

+			var params = params || {},

+				fade = (typeof(params.fade) != 'undefined') ? params.fade : true;

+				fade_out_speed = params.speed || this.fade_out_speed,

+                manual_close = unbind_events;

+

+			this['_before_close_' + unique_id](e, manual_close);

+			

+			// If this is true, then we are coming from clicking the (X)

+			if(unbind_events){

+				e.unbind('mouseenter mouseleave');

+			}

+			

+			// Fade it out or remove it

+			if(fade){

+			

+				e.animate({

+					opacity: 0

+				}, fade_out_speed, function(){

+					e.animate({ height: 0 }, 300, function(){

+						Gritter._countRemoveWrapper(unique_id, e, manual_close);

+					})

+				})

+				

+			}

+			else {

+				

+				this._countRemoveWrapper(unique_id, e);

+				

+			}

+					    

+		},

+		

+		/**

+		* Perform actions based on the type of bind (mouseenter, mouseleave) 

+		* @private

+		* @param {Object} e The jQuery element

+		* @param {String} type The type of action we're performing: mouseenter or mouseleave

+		*/

+		_hoverState: function(e, type){

+			

+			// Change the border styles and add the (X) close button when you hover

+			if(type == 'mouseenter'){

+		    	

+				e.addClass('hover');

+				

+				// Show close button

+				e.find('.gritter-close').show();

+				

+				// Clicking (X) makes the perdy thing close

+				e.find('.gritter-close').click(function(){

+					var unique_id = e.attr('id').split('-')[2];

+					Gritter.removeSpecific(unique_id, {}, e, true);

+				});

+			

+			}

+			// Remove the border styles and hide (X) close button when you mouse out

+			else {

+				

+				e.removeClass('hover');

+				

+				// Hide close button

+				e.find('.gritter-close').hide();

+				

+			}

+		    

+		},

+		

+		/**

+		* Remove a specific notification based on an ID

+		* @param {Integer} unique_id The ID used to delete a specific notification

+		* @param {Object} params A set of options passed in to determine how to get rid of it

+		* @param {Object} e The jQuery element that we're "fading" then removing

+		* @param {Boolean} unbind_events If we clicked on the (X) we set this to true to unbind mouseenter/mouseleave

+		*/

+		removeSpecific: function(unique_id, params, e, unbind_events){

+			

+			if(!e){

+				var e = $('#gritter-item-' + unique_id);

+			}

+

+			// We set the fourth param to let the _fade function know to 

+			// unbind the "mouseleave" event.  Once you click (X) there's no going back!

+			this._fade(e, unique_id, params || {}, unbind_events);

+			

+		},

+		

+		/**

+		* If the item is fading out and we hover over it, restore it!

+		* @private

+		* @param {Object} e The HTML element to remove

+		* @param {Integer} unique_id The ID of the element

+		*/

+		_restoreItemIfFading: function(e, unique_id){

+			

+			clearTimeout(this['_int_id_' + unique_id]);

+			e.stop().css({ opacity: '', height: '' });

+		    

+		},

+		

+		/**

+		* Setup the global options - only once

+		* @private

+		*/

+		_runSetup: function(){

+		

+			for(opt in $.gritter.options){

+				this[opt] = $.gritter.options[opt];

+			}

+			this._is_setup = 1;

+		    

+		},

+		

+		/**

+		* Set the notification to fade out after a certain amount of time

+		* @private

+		* @param {Object} item The HTML element we're dealing with

+		* @param {Integer} unique_id The ID of the element

+		*/

+		_setFadeTimer: function(e, unique_id){

+			

+			var timer_str = (this._custom_timer) ? this._custom_timer : this.time;

+			this['_int_id_' + unique_id] = setTimeout(function(){ 

+				Gritter._fade(e, unique_id);

+			}, timer_str);

+		

+		},

+		

+		/**

+		* Bring everything to a halt

+		* @param {Object} params A list of callback functions to pass when all notifications are removed

+		*/  

+		stop: function(params){

+			

+			// callbacks (if passed)

+			var before_close = ($.isFunction(params.before_close)) ? params.before_close : function(){};

+			var after_close = ($.isFunction(params.after_close)) ? params.after_close : function(){};

+			

+			var wrap = $('#gritter-notice-wrapper');

+			before_close(wrap);

+			wrap.fadeOut(function(){

+				$(this).remove();

+				after_close();

+			});

+		

+		},

+		

+		/**

+		* An extremely handy PHP function ported to JS, works well for templating

+		* @private

+		* @param {String/Array} search A list of things to search for

+		* @param {String/Array} replace A list of things to replace the searches with

+		* @return {String} sa The output

+		*/  

+		_str_replace: function(search, replace, subject, count){

+		

+			var i = 0, j = 0, temp = '', repl = '', sl = 0, fl = 0,

+				f = [].concat(search),

+				r = [].concat(replace),

+				s = subject,

+				ra = r instanceof Array, sa = s instanceof Array;

+			s = [].concat(s);

+			

+			if(count){

+				this.window[count] = 0;

+			}

+		

+			for(i = 0, sl = s.length; i < sl; i++){

+				

+				if(s[i] === ''){

+					continue;

+				}

+				

+		        for (j = 0, fl = f.length; j < fl; j++){

+					

+					temp = s[i] + '';

+					repl = ra ? (r[j] !== undefined ? r[j] : '') : r[0];

+					s[i] = (temp).split(f[j]).join(repl);

+					

+					if(count && s[i] !== temp){

+						this.window[count] += (temp.length-s[i].length) / f[j].length;

+					}

+					

+				}

+			}

+			

+			return sa ? s : s[0];

+		    

+		},

+		

+		/**

+		* A check to make sure we have something to wrap our notices with

+		* @private

+		*/  

+		_verifyWrapper: function(){

+		  

+			if($('#gritter-notice-wrapper').length == 0){

+				$('body').append(this._tpl_wrap);

+			}

+		

+		}

+	    

+	}

+	

+})(jQuery);

diff --git a/python/gui/static/js/jquery.js b/python/gui/static/js/jquery.js
new file mode 100644
index 0000000..79d631f
--- /dev/null
+++ b/python/gui/static/js/jquery.js
@@ -0,0 +1,9205 @@
+/*!
+ * jQuery JavaScript Library v2.1.3
+ * http://jquery.com/
+ *
+ * Includes Sizzle.js
+ * http://sizzlejs.com/
+ *
+ * Copyright 2005, 2014 jQuery Foundation, Inc. and other contributors
+ * Released under the MIT license
+ * http://jquery.org/license
+ *
+ * Date: 2014-12-18T15:11Z
+ */
+
+(function( global, factory ) {
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+}(typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Support: Firefox 18+
+// Can't be in strict mode, several libs including ASP.NET trace
+// the stack via arguments.caller.callee and Firefox dies if
+// you try to trace through "use strict" call chains. (#13335)
+//
+
+var arr = [];
+
+var slice = arr.slice;
+
+var concat = arr.concat;
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var support = {};
+
+
+
+var
+	// Use the correct document accordingly with window argument (sandbox)
+	document = window.document,
+
+	version = "2.1.3",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	},
+
+	// Support: Android<4.1
+	// Make sure we trim BOM and NBSP
+	rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,
+
+	// Matches dashed string for camelizing
+	rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([\da-z])/gi,
+
+	// Used by jQuery.camelCase as callback to replace()
+	fcamelCase = function( all, letter ) {
+		return letter.toUpperCase();
+	};
+
+jQuery.fn = jQuery.prototype = {
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// Start with an empty selector
+	selector: "",
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+		return num != null ?
+
+			// Return just the one element from the set
+			( num < 0 ? this[ num + this.length ] : this[ num ] ) :
+
+			// Return all the elements in a clean array
+			slice.call( this );
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+		ret.context = this.context;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	// (You can seed the arguments with an array of args, but this is
+	// only used internally.)
+	each: function( callback, args ) {
+		return jQuery.each( this, callback, args );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map(this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		}));
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[j] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor(null);
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[0] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !jQuery.isFunction(target) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+		// Only deal with non-null/undefined values
+		if ( (options = arguments[ i ]) != null ) {
+			// Extend the base object
+			for ( name in options ) {
+				src = target[ name ];
+				copy = options[ name ];
+
+				// Prevent never-ending loop
+				if ( target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject(copy) || (copyIsArray = jQuery.isArray(copy)) ) ) {
+					if ( copyIsArray ) {
+						copyIsArray = false;
+						clone = src && jQuery.isArray(src) ? src : [];
+
+					} else {
+						clone = src && jQuery.isPlainObject(src) ? src : {};
+					}
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend({
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isFunction: function( obj ) {
+		return jQuery.type(obj) === "function";
+	},
+
+	isArray: Array.isArray,
+
+	isWindow: function( obj ) {
+		return obj != null && obj === obj.window;
+	},
+
+	isNumeric: function( obj ) {
+		// parseFloat NaNs numeric-cast false positives (null|true|false|"")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		// adding 1 corrects loss of precision from parseFloat (#15100)
+		return !jQuery.isArray( obj ) && (obj - parseFloat( obj ) + 1) >= 0;
+	},
+
+	isPlainObject: function( obj ) {
+		// Not plain objects:
+		// - Any object or value whose internal [[Class]] property is not "[object Object]"
+		// - DOM nodes
+		// - window
+		if ( jQuery.type( obj ) !== "object" || obj.nodeType || jQuery.isWindow( obj ) ) {
+			return false;
+		}
+
+		if ( obj.constructor &&
+				!hasOwn.call( obj.constructor.prototype, "isPrototypeOf" ) ) {
+			return false;
+		}
+
+		// If the function hasn't returned already, we're confident that
+		// |obj| is a plain object, created by {} or constructed with new Object
+		return true;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	type: function( obj ) {
+		if ( obj == null ) {
+			return obj + "";
+		}
+		// Support: Android<4.0, iOS<6 (functionish RegExp)
+		return typeof obj === "object" || typeof obj === "function" ?
+			class2type[ toString.call(obj) ] || "object" :
+			typeof obj;
+	},
+
+	// Evaluates a script in a global context
+	globalEval: function( code ) {
+		var script,
+			indirect = eval;
+
+		code = jQuery.trim( code );
+
+		if ( code ) {
+			// If the code includes a valid, prologue position
+			// strict mode pragma, execute code by injecting a
+			// script tag into the document.
+			if ( code.indexOf("use strict") === 1 ) {
+				script = document.createElement("script");
+				script.text = code;
+				document.head.appendChild( script ).parentNode.removeChild( script );
+			} else {
+			// Otherwise, avoid the DOM node creation, insertion
+			// and removal by using an indirect global eval
+				indirect( code );
+			}
+		}
+	},
+
+	// Convert dashed to camelCase; used by the css and data modules
+	// Support: IE9-11+
+	// Microsoft forgot to hump their vendor prefix (#9572)
+	camelCase: function( string ) {
+		return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+	},
+
+	nodeName: function( elem, name ) {
+		return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+	},
+
+	// args is for internal usage only
+	each: function( obj, callback, args ) {
+		var value,
+			i = 0,
+			length = obj.length,
+			isArray = isArraylike( obj );
+
+		if ( args ) {
+			if ( isArray ) {
+				for ( ; i < length; i++ ) {
+					value = callback.apply( obj[ i ], args );
+
+					if ( value === false ) {
+						break;
+					}
+				}
+			} else {
+				for ( i in obj ) {
+					value = callback.apply( obj[ i ], args );
+
+					if ( value === false ) {
+						break;
+					}
+				}
+			}
+
+		// A special, fast, case for the most common use of each
+		} else {
+			if ( isArray ) {
+				for ( ; i < length; i++ ) {
+					value = callback.call( obj[ i ], i, obj[ i ] );
+
+					if ( value === false ) {
+						break;
+					}
+				}
+			} else {
+				for ( i in obj ) {
+					value = callback.call( obj[ i ], i, obj[ i ] );
+
+					if ( value === false ) {
+						break;
+					}
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// Support: Android<4.1
+	trim: function( text ) {
+		return text == null ?
+			"" :
+			( text + "" ).replace( rtrim, "" );
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArraylike( Object(arr) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+					[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var value,
+			i = 0,
+			length = elems.length,
+			isArray = isArraylike( elems ),
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArray ) {
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return concat.apply( [], ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// Bind a function to a context, optionally partially applying any
+	// arguments.
+	proxy: function( fn, context ) {
+		var tmp, args, proxy;
+
+		if ( typeof context === "string" ) {
+			tmp = fn[ context ];
+			context = fn;
+			fn = tmp;
+		}
+
+		// Quick check to determine if target is callable, in the spec
+		// this throws a TypeError, but we will just return undefined.
+		if ( !jQuery.isFunction( fn ) ) {
+			return undefined;
+		}
+
+		// Simulated bind
+		args = slice.call( arguments, 2 );
+		proxy = function() {
+			return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+		};
+
+		// Set the guid of unique handler to the same of original handler, so it can be removed
+		proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+		return proxy;
+	},
+
+	now: Date.now,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+});
+
+// Populate the class2type map
+jQuery.each("Boolean Number String Function Array Date RegExp Object Error".split(" "), function(i, name) {
+	class2type[ "[object " + name + "]" ] = name.toLowerCase();
+});
+
+function isArraylike( obj ) {
+	var length = obj.length,
+		type = jQuery.type( obj );
+
+	if ( type === "function" || jQuery.isWindow( obj ) ) {
+		return false;
+	}
+
+	if ( obj.nodeType === 1 && length ) {
+		return true;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.2.0-pre
+ * http://sizzlejs.com/
+ *
+ * Copyright 2008, 2014 jQuery Foundation, Inc. and other contributors
+ * Released under the MIT license
+ * http://jquery.org/license
+ *
+ * Date: 2014-12-16
+ */
+(function( window ) {
+
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// General-purpose constants
+	MAX_NEGATIVE = 1 << 31,
+
+	// Instance methods
+	hasOwn = ({}).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	push_native = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+	// Use a stripped-down indexOf as it's faster than native
+	// http://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[i] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// Whitespace characters http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+	// http://www.w3.org/TR/css3-syntax/#characters
+	characterEncoding = "(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+",
+
+	// Loosely modeled on CSS identifier characters
+	// An unquoted value should be a CSS identifier http://www.w3.org/TR/css3-selectors/#attribute-selectors
+	// Proper syntax: http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier
+	identifier = characterEncoding.replace( "w", "w#" ),
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + characterEncoding + ")(?:" + whitespace +
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+		// "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace +
+		"*\\]",
+
+	pseudos = ":(" + characterEncoding + ")(?:\\((" +
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ),
+
+	rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + characterEncoding + ")" ),
+		"CLASS": new RegExp( "^\\.(" + characterEncoding + ")" ),
+		"TAG": new RegExp( "^(" + characterEncoding.replace( "w", "w*" ) + ")" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace +
+			"*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace +
+			"*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" +
+			whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+	rescape = /'|\\/g,
+
+	// CSS escapes http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ),
+	funescape = function( _, escaped, escapedWhitespace ) {
+		var high = "0x" + escaped - 0x10000;
+		// NaN means non-codepoint
+		// Support: Firefox<24
+		// Workaround erroneous numeric interpretation of +"0x"
+		return high !== high || escapedWhitespace ?
+			escaped :
+			high < 0 ?
+				// BMP codepoint
+				String.fromCharCode( high + 0x10000 ) :
+				// Supplemental Plane codepoint (surrogate pair)
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	};
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		(arr = slice.call( preferredDoc.childNodes )),
+		preferredDoc.childNodes
+	);
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			push_native.apply( target, slice.call(els) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+			// Can't trust NodeList.length
+			while ( (target[j++] = els[i++]) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var match, elem, m, nodeType,
+		// QSA vars
+		i, groups, old, nid, newContext, newSelector;
+
+	if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) {
+		setDocument( context );
+	}
+
+	context = context || document;
+	results = results || [];
+	nodeType = context.nodeType;
+
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	if ( !seed && documentIsHTML ) {
+
+		// Try to shortcut find operations when possible (e.g., not under DocumentFragment)
+		if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) {
+			// Speed-up: Sizzle("#ID")
+			if ( (m = match[1]) ) {
+				if ( nodeType === 9 ) {
+					elem = context.getElementById( m );
+					// Check parentNode to catch when Blackberry 4.6 returns
+					// nodes that are no longer in the document (jQuery #6963)
+					if ( elem && elem.parentNode ) {
+						// Handle the case where IE, Opera, and Webkit return items
+						// by name instead of ID
+						if ( elem.id === m ) {
+							results.push( elem );
+							return results;
+						}
+					} else {
+						return results;
+					}
+				} else {
+					// Context is not a document
+					if ( context.ownerDocument && (elem = context.ownerDocument.getElementById( m )) &&
+						contains( context, elem ) && elem.id === m ) {
+						results.push( elem );
+						return results;
+					}
+				}
+
+			// Speed-up: Sizzle("TAG")
+			} else if ( match[2] ) {
+				push.apply( results, context.getElementsByTagName( selector ) );
+				return results;
+
+			// Speed-up: Sizzle(".CLASS")
+			} else if ( (m = match[3]) && support.getElementsByClassName ) {
+				push.apply( results, context.getElementsByClassName( m ) );
+				return results;
+			}
+		}
+
+		// QSA path
+		if ( support.qsa && (!rbuggyQSA || !rbuggyQSA.test( selector )) ) {
+			nid = old = expando;
+			newContext = context;
+			newSelector = nodeType !== 1 && selector;
+
+			// qSA works strangely on Element-rooted queries
+			// We can work around this by specifying an extra ID on the root
+			// and working up from there (Thanks to Andrew Dupont for the technique)
+			// IE 8 doesn't work on object elements
+			if ( nodeType === 1 && context.nodeName.toLowerCase() !== "object" ) {
+				groups = tokenize( selector );
+
+				if ( (old = context.getAttribute("id")) ) {
+					nid = old.replace( rescape, "\\$&" );
+				} else {
+					context.setAttribute( "id", nid );
+				}
+				nid = "[id='" + nid + "'] ";
+
+				i = groups.length;
+				while ( i-- ) {
+					groups[i] = nid + toSelector( groups[i] );
+				}
+				newContext = rsibling.test( selector ) && testContext( context.parentNode ) || context;
+				newSelector = groups.join(",");
+			}
+
+			if ( newSelector ) {
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch(qsaError) {
+				} finally {
+					if ( !old ) {
+						context.removeAttribute("id");
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {Function(string, Object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return (cache[ key + " " ] = value);
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created div and expects a boolean result
+ */
+function assert( fn ) {
+	var div = document.createElement("div");
+
+	try {
+		return !!fn( div );
+	} catch (e) {
+		return false;
+	} finally {
+		// Remove from its parent by default
+		if ( div.parentNode ) {
+			div.parentNode.removeChild( div );
+		}
+		// release memory in IE
+		div = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split("|"),
+		i = attrs.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[i] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			( ~b.sourceIndex || MAX_NEGATIVE ) -
+			( ~a.sourceIndex || MAX_NEGATIVE );
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( (cur = cur.nextSibling) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return (name === "input" || name === "button") && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction(function( argument ) {
+		argument = +argument;
+		return markFunction(function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ (j = matchIndexes[i]) ] ) {
+					seed[j] = !(matches[j] = seed[j]);
+				}
+			}
+		});
+	});
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	// documentElement is verified for cases where it doesn't yet exist
+	// (such as loading iframes in IE - #4833)
+	var documentElement = elem && (elem.ownerDocument || elem).documentElement;
+	return documentElement ? documentElement.nodeName !== "HTML" : false;
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, parent,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// If no document and documentElement is available, return
+	if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Set our document
+	document = doc;
+	docElem = doc.documentElement;
+	parent = doc.defaultView;
+
+	// Support: IE>8
+	// If iframe document is assigned to "document" variable and if iframe has been reloaded,
+	// IE will throw "permission denied" error when accessing "document" variable, see jQuery #13936
+	// IE6-8 do not support the defaultView property so parent will be undefined
+	if ( parent && parent !== parent.top ) {
+		// IE11 does not have attachEvent, so all must suffer
+		if ( parent.addEventListener ) {
+			parent.addEventListener( "unload", unloadHandler, false );
+		} else if ( parent.attachEvent ) {
+			parent.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	/* Support tests
+	---------------------------------------------------------------------- */
+	documentIsHTML = !isXML( doc );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert(function( div ) {
+		div.className = "i";
+		return !div.getAttribute("className");
+	});
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert(function( div ) {
+		div.appendChild( doc.createComment("") );
+		return !div.getElementsByTagName("*").length;
+	});
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( doc.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert(function( div ) {
+		docElem.appendChild( div ).id = expando;
+		return !doc.getElementsByName || !doc.getElementsByName( expando ).length;
+	});
+
+	// ID find and filter
+	if ( support.getById ) {
+		Expr.find["ID"] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var m = context.getElementById( id );
+				// Check parentNode to catch when Blackberry 4.6 returns
+				// nodes that are no longer in the document #6963
+				return m && m.parentNode ? [ m ] : [];
+			}
+		};
+		Expr.filter["ID"] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute("id") === attrId;
+			};
+		};
+	} else {
+		// Support: IE6/7
+		// getElementById is not reliable as a find shortcut
+		delete Expr.find["ID"];
+
+		Expr.filter["ID"] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" && elem.getAttributeNode("id");
+				return node && node.value === attrId;
+			};
+		};
+	}
+
+	// Tag
+	Expr.find["TAG"] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( (elem = results[i++]) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) {
+		if ( documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See http://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( (support.qsa = rnative.test( doc.querySelectorAll )) ) {
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert(function( div ) {
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// http://bugs.jquery.com/ticket/12359
+			docElem.appendChild( div ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\f]' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// http://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( div.querySelectorAll("[msallowcapture^='']").length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !div.querySelectorAll("[selected]").length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.2+, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.7+
+			if ( !div.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push("~=");
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !div.querySelectorAll(":checked").length ) {
+				rbuggyQSA.push(":checked");
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibing-combinator selector` fails
+			if ( !div.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push(".#.+[+~]");
+			}
+		});
+
+		assert(function( div ) {
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = doc.createElement("input");
+			input.setAttribute( "type", "hidden" );
+			div.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( div.querySelectorAll("[name=d]").length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( !div.querySelectorAll(":enabled").length ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			div.querySelectorAll("*,:x");
+			rbuggyQSA.push(",.*:");
+		});
+	}
+
+	if ( (support.matchesSelector = rnative.test( (matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector) )) ) {
+
+		assert(function( div ) {
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( div, "div" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( div, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		});
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully does not implement inclusive descendent
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			));
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( (b = b.parentNode) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			(!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) {
+
+			// Choose the first element that is related to our preferred document
+			if ( a === doc || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) {
+				return -1;
+			}
+			if ( b === doc || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+			return a === doc ? -1 :
+				b === doc ? 1 :
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( (cur = cur.parentNode) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( (cur = cur.parentNode) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[i] === bp[i] ) {
+			i++;
+		}
+
+		return i ?
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[i], bp[i] ) :
+
+			// Otherwise nodes in our document sort first
+			ap[i] === preferredDoc ? -1 :
+			bp[i] === preferredDoc ? 1 :
+			0;
+	};
+
+	return doc;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	// Set document vars if needed
+	if ( ( elem.ownerDocument || elem ) !== document ) {
+		setDocument( elem );
+	}
+
+	// Make sure that attribute selectors are quoted
+	expr = expr.replace( rattributeQuotes, "='$1']" );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+					// As well, disconnected nodes are said to be in a document
+					// fragment in IE 9
+					elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch (e) {}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+	// Set document vars if needed
+	if ( ( context.ownerDocument || context ) !== document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+	// Set document vars if needed
+	if ( ( elem.ownerDocument || elem ) !== document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			(val = elem.getAttributeNode(name)) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( (elem = results[i++]) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+		// If no nodeType, this is expected to be an array
+		while ( (node = elem[i++]) ) {
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[1] = match[1].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape );
+
+			if ( match[2] === "~=" ) {
+				match[3] = " " + match[3] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[1] = match[1].toLowerCase();
+
+			if ( match[1].slice( 0, 3 ) === "nth" ) {
+				// nth-* requires argument
+				if ( !match[3] ) {
+					Sizzle.error( match[0] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) );
+				match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" );
+
+			// other types prohibit arguments
+			} else if ( match[3] ) {
+				Sizzle.error( match[0] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[6] && match[2];
+
+			if ( matchExpr["CHILD"].test( match[0] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[3] ) {
+				match[2] = match[4] || match[5] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+				// Get excess from tokenize (recursively)
+				(excess = tokenize( unquoted, true )) &&
+				// advance to the next closing parenthesis
+				(excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) {
+
+				// excess is a negative index
+				match[0] = match[0].slice( 0, excess );
+				match[2] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() { return true; } :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				(pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) &&
+				classCache( className, function( elem ) {
+					return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" );
+				});
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+			};
+		},
+
+		"CHILD": function( type, what, argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, context, xml ) {
+					var cache, outerCache, node, diff, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( (node = node[ dir ]) ) {
+									if ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) {
+										return false;
+									}
+								}
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+							// Seek `elem` from a previously-cached index
+							outerCache = parent[ expando ] || (parent[ expando ] = {});
+							cache = outerCache[ type ] || [];
+							nodeIndex = cache[0] === dirruns && cache[1];
+							diff = cache[0] === dirruns && cache[2];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( (node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								(diff = nodeIndex = 0) || start.pop()) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									outerCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						// Use previously-cached element index if available
+						} else if ( useCache && (cache = (elem[ expando ] || (elem[ expando ] = {}))[ type ]) && cache[0] === dirruns ) {
+							diff = cache[1];
+
+						// xml :nth-child(...) or :nth-last-child(...) or :nth(-last)?-of-type(...)
+						} else {
+							// Use the same loop as above to seek `elem` from the start
+							while ( (node = ++nodeIndex && node && node[ dir ] ||
+								(diff = nodeIndex = 0) || start.pop()) ) {
+
+								if ( ( ofType ? node.nodeName.toLowerCase() === name : node.nodeType === 1 ) && ++diff ) {
+									// Cache the index of each encountered element
+									if ( useCache ) {
+										(node[ expando ] || (node[ expando ] = {}))[ type ] = [ dirruns, diff ];
+									}
+
+									if ( node === elem ) {
+										break;
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction(function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[i] );
+							seed[ idx ] = !( matches[ idx ] = matched[i] );
+						}
+					}) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+		// Potentially complex pseudos
+		"not": markFunction(function( selector ) {
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction(function( seed, matches, context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( (elem = unmatched[i]) ) {
+							seed[i] = !(matches[i] = elem);
+						}
+					}
+				}) :
+				function( elem, context, xml ) {
+					input[0] = elem;
+					matcher( input, null, xml, results );
+					// Don't keep the element (issue #299)
+					input[0] = null;
+					return !results.pop();
+				};
+		}),
+
+		"has": markFunction(function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		}),
+
+		"contains": markFunction(function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1;
+			};
+		}),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+			// lang value must be a valid identifier
+			if ( !ridentifier.test(lang || "") ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( (elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( (elem = elem.parentNode) && elem.nodeType === 1 );
+				return false;
+			};
+		}),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex);
+		},
+
+		// Boolean properties
+		"enabled": function( elem ) {
+			return elem.disabled === false;
+		},
+
+		"disabled": function( elem ) {
+			return elem.disabled === true;
+		},
+
+		"checked": function( elem ) {
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected);
+		},
+
+		"selected": function( elem ) {
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos["empty"]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo(function() {
+			return [ 0 ];
+		}),
+
+		"last": createPositionalPseudo(function( matchIndexes, length ) {
+			return [ length - 1 ];
+		}),
+
+		"eq": createPositionalPseudo(function( matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		}),
+
+		"even": createPositionalPseudo(function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		}),
+
+		"odd": createPositionalPseudo(function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		}),
+
+		"lt": createPositionalPseudo(function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		}),
+
+		"gt": createPositionalPseudo(function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		})
+	}
+};
+
+Expr.pseudos["nth"] = Expr.pseudos["eq"];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || (match = rcomma.exec( soFar )) ) {
+			if ( match ) {
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[0].length ) || soFar;
+			}
+			groups.push( (tokens = []) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( (match = rcombinators.exec( soFar )) ) {
+			matched = match.shift();
+			tokens.push({
+				value: matched,
+				// Cast descendant combinators to space
+				type: match[0].replace( rtrim, " " )
+			});
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] ||
+				(match = preFilters[ type ]( match ))) ) {
+				matched = match.shift();
+				tokens.push({
+					value: matched,
+					type: type,
+					matches: match
+				});
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[i].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		checkNonElements = base && dir === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( (elem = elem[ dir ]) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from dir caching
+			if ( xml ) {
+				while ( (elem = elem[ dir ]) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( (elem = elem[ dir ]) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || (elem[ expando ] = {});
+						if ( (oldCache = outerCache[ dir ]) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return (newCache[ 2 ] = oldCache[ 2 ]);
+						} else {
+							// Reuse newcache so results back-propagate to previous elements
+							outerCache[ dir ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[i]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[0];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[i], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( (elem = unmatched[i]) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction(function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( (elem = temp[i]) ) {
+					matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem);
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( (elem = matcherOut[i]) ) {
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( (matcherIn[i] = elem) );
+						}
+					}
+					postFinder( null, (matcherOut = []), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( (elem = matcherOut[i]) &&
+						(temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) {
+
+						seed[temp] = !(results[temp] = elem);
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	});
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[0].type ],
+		implicitRelative = leadingRelative || Expr.relative[" "],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				(checkContext = context).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( (matcher = Expr.relative[ tokens[i].type ]) ) {
+			matchers = [ addCombinator(elementMatcher( matchers ), matcher) ];
+		} else {
+			matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[j].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+						// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+						tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" })
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( (tokens = tokens.slice( j )) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find["TAG"]( "*", outermost ),
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1),
+				len = elems.length;
+
+			if ( outermost ) {
+				outermostContext = context !== document && context;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Keep `i` a string if there are no elements so `matchedCount` will be "00" below
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && (elem = elems[i]) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+					while ( (matcher = elementMatchers[j++]) ) {
+						if ( matcher( elem, context, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+					// They will have gone through all possible matchers
+					if ( (elem = !matcher && elem) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// Apply set filters to unmatched elements
+			matchedCount += i;
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( (matcher = setMatchers[j++]) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !(unmatched[i] || setMatched[i]) ) {
+								setMatched[i] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[i] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) );
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( (selector = compiled.selector || selector) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is no seed and only one group
+	if ( match.length === 1 ) {
+
+		// Take a shortcut and set the context if the root selector is an ID
+		tokens = match[0] = match[0].slice( 0 );
+		if ( tokens.length > 2 && (token = tokens[0]).type === "ID" &&
+				support.getById && context.nodeType === 9 && documentIsHTML &&
+				Expr.relative[ tokens[1].type ] ) {
+
+			context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[i];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ (type = token.type) ] ) {
+				break;
+			}
+			if ( (find = Expr.find[ type ]) ) {
+				// Search, expanding context for leading sibling combinators
+				if ( (seed = find(
+					token.matches[0].replace( runescape, funescape ),
+					rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context
+				)) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split("").sort( sortOrder ).join("") === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert(function( div1 ) {
+	// Should return 1, but returns 4 (following)
+	return div1.compareDocumentPosition( document.createElement("div") ) & 1;
+});
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// http://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert(function( div ) {
+	div.innerHTML = "<a href='#'></a>";
+	return div.firstChild.getAttribute("href") === "#" ;
+}) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	});
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert(function( div ) {
+	div.innerHTML = "<input/>";
+	div.firstChild.setAttribute( "value", "" );
+	return div.firstChild.getAttribute( "value" ) === "";
+}) ) {
+	addHandle( "value", function( elem, name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	});
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert(function( div ) {
+	return div.getAttribute("disabled") == null;
+}) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+					(val = elem.getAttributeNode( name )) && val.specified ?
+					val.value :
+				null;
+		}
+	});
+}
+
+return Sizzle;
+
+})( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+jQuery.expr[":"] = jQuery.expr.pseudos;
+jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+var rsingleTag = (/^<(\w+)\s*\/?>(?:<\/\1>|)$/);
+
+
+
+var risSimple = /^.[^:#\[\.,]*$/;
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( jQuery.isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			/* jshint -W018 */
+			return !!qualifier.call( elem, i, elem ) !== not;
+		});
+
+	}
+
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		});
+
+	}
+
+	if ( typeof qualifier === "string" ) {
+		if ( risSimple.test( qualifier ) ) {
+			return jQuery.filter( qualifier, elements, not );
+		}
+
+		qualifier = jQuery.filter( qualifier, elements );
+	}
+
+	return jQuery.grep( elements, function( elem ) {
+		return ( indexOf.call( qualifier, elem ) >= 0 ) !== not;
+	});
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	return elems.length === 1 && elem.nodeType === 1 ?
+		jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [] :
+		jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+			return elem.nodeType === 1;
+		}));
+};
+
+jQuery.fn.extend({
+	find: function( selector ) {
+		var i,
+			len = this.length,
+			ret = [],
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter(function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			}) );
+		}
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		// Needed because $( selector, context ) becomes $( context ).find( selector )
+		ret = this.pushStack( len > 1 ? jQuery.unique( ret ) : ret );
+		ret.selector = this.selector ? this.selector + " " + selector : selector;
+		return ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow(this, selector || [], false) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow(this, selector || [], true) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+});
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/,
+
+	init = jQuery.fn.init = function( selector, context ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[0] === "<" && selector[ selector.length - 1 ] === ">" && selector.length >= 3 ) {
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && (match[1] || !context) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[1] ) {
+					context = context instanceof jQuery ? context[0] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[1],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[1] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+							// Properties of context are called as methods if possible
+							if ( jQuery.isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[2] );
+
+					// Support: Blackberry 4.6
+					// gEBID returns nodes no longer in the document (#6963)
+					if ( elem && elem.parentNode ) {
+						// Inject the element directly into the jQuery object
+						this.length = 1;
+						this[0] = elem;
+					}
+
+					this.context = document;
+					this.selector = selector;
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || rootjQuery ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this.context = this[0] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( jQuery.isFunction( selector ) ) {
+			return typeof rootjQuery.ready !== "undefined" ?
+				rootjQuery.ready( selector ) :
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		if ( selector.selector !== undefined ) {
+			this.selector = selector.selector;
+			this.context = selector.context;
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.extend({
+	dir: function( elem, dir, until ) {
+		var matched = [],
+			truncate = until !== undefined;
+
+		while ( (elem = elem[ dir ]) && elem.nodeType !== 9 ) {
+			if ( elem.nodeType === 1 ) {
+				if ( truncate && jQuery( elem ).is( until ) ) {
+					break;
+				}
+				matched.push( elem );
+			}
+		}
+		return matched;
+	},
+
+	sibling: function( n, elem ) {
+		var matched = [];
+
+		for ( ; n; n = n.nextSibling ) {
+			if ( n.nodeType === 1 && n !== elem ) {
+				matched.push( n );
+			}
+		}
+
+		return matched;
+	}
+});
+
+jQuery.fn.extend({
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter(function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[i] ) ) {
+					return true;
+				}
+			}
+		});
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			pos = rneedsContext.test( selectors ) || typeof selectors !== "string" ?
+				jQuery( selectors, context || this.context ) :
+				0;
+
+		for ( ; i < l; i++ ) {
+			for ( cur = this[i]; cur && cur !== context; cur = cur.parentNode ) {
+				// Always skip document fragments
+				if ( cur.nodeType < 11 && (pos ?
+					pos.index(cur) > -1 :
+
+					// Don't pass non-elements to Sizzle
+					cur.nodeType === 1 &&
+						jQuery.find.matchesSelector(cur, selectors)) ) {
+
+					matched.push( cur );
+					break;
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.unique( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.unique(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter(selector)
+		);
+	}
+});
+
+function sibling( cur, dir ) {
+	while ( (cur = cur[dir]) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each({
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return jQuery.dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, i, until ) {
+		return jQuery.dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return jQuery.dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return jQuery.dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, i, until ) {
+		return jQuery.dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, i, until ) {
+		return jQuery.dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return jQuery.sibling( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return jQuery.sibling( elem.firstChild );
+	},
+	contents: function( elem ) {
+		return elem.contentDocument || jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.unique( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+});
+var rnotwhite = (/\S+/g);
+
+
+
+// String to Object options format cache
+var optionsCache = {};
+
+// Convert String-formatted options into Object-formatted ones and store in cache
+function createOptions( options ) {
+	var object = optionsCache[ options ] = {};
+	jQuery.each( options.match( rnotwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	});
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		( optionsCache[ options ] || createOptions( options ) ) :
+		jQuery.extend( {}, options );
+
+	var // Last fire value (for non-forgettable lists)
+		memory,
+		// Flag to know if list was already fired
+		fired,
+		// Flag to know if list is currently firing
+		firing,
+		// First callback to fire (used internally by add and fireWith)
+		firingStart,
+		// End of the loop when firing
+		firingLength,
+		// Index of currently firing callback (modified by remove if needed)
+		firingIndex,
+		// Actual callback list
+		list = [],
+		// Stack of fire calls for repeatable lists
+		stack = !options.once && [],
+		// Fire callbacks
+		fire = function( data ) {
+			memory = options.memory && data;
+			fired = true;
+			firingIndex = firingStart || 0;
+			firingStart = 0;
+			firingLength = list.length;
+			firing = true;
+			for ( ; list && firingIndex < firingLength; firingIndex++ ) {
+				if ( list[ firingIndex ].apply( data[ 0 ], data[ 1 ] ) === false && options.stopOnFalse ) {
+					memory = false; // To prevent further calls using add
+					break;
+				}
+			}
+			firing = false;
+			if ( list ) {
+				if ( stack ) {
+					if ( stack.length ) {
+						fire( stack.shift() );
+					}
+				} else if ( memory ) {
+					list = [];
+				} else {
+					self.disable();
+				}
+			}
+		},
+		// Actual Callbacks object
+		self = {
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+					// First, we save the current length
+					var start = list.length;
+					(function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							var type = jQuery.type( arg );
+							if ( type === "function" ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && type !== "string" ) {
+								// Inspect recursively
+								add( arg );
+							}
+						});
+					})( arguments );
+					// Do we need to add the callbacks to the
+					// current firing batch?
+					if ( firing ) {
+						firingLength = list.length;
+					// With memory, if we're not firing then
+					// we should call right away
+					} else if ( memory ) {
+						firingStart = start;
+						fire( memory );
+					}
+				}
+				return this;
+			},
+			// Remove a callback from the list
+			remove: function() {
+				if ( list ) {
+					jQuery.each( arguments, function( _, arg ) {
+						var index;
+						while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+							list.splice( index, 1 );
+							// Handle firing indexes
+							if ( firing ) {
+								if ( index <= firingLength ) {
+									firingLength--;
+								}
+								if ( index <= firingIndex ) {
+									firingIndex--;
+								}
+							}
+						}
+					});
+				}
+				return this;
+			},
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ? jQuery.inArray( fn, list ) > -1 : !!( list && list.length );
+			},
+			// Remove all callbacks from the list
+			empty: function() {
+				list = [];
+				firingLength = 0;
+				return this;
+			},
+			// Have the list do nothing anymore
+			disable: function() {
+				list = stack = memory = undefined;
+				return this;
+			},
+			// Is it disabled?
+			disabled: function() {
+				return !list;
+			},
+			// Lock the list in its current state
+			lock: function() {
+				stack = undefined;
+				if ( !memory ) {
+					self.disable();
+				}
+				return this;
+			},
+			// Is it locked?
+			locked: function() {
+				return !stack;
+			},
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( list && ( !fired || stack ) ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					if ( firing ) {
+						stack.push( args );
+					} else {
+						fire( args );
+					}
+				}
+				return this;
+			},
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+jQuery.extend({
+
+	Deferred: function( func ) {
+		var tuples = [
+				// action, add listener, listener list, final state
+				[ "resolve", "done", jQuery.Callbacks("once memory"), "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks("once memory"), "rejected" ],
+				[ "notify", "progress", jQuery.Callbacks("memory") ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				then: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+					return jQuery.Deferred(function( newDefer ) {
+						jQuery.each( tuples, function( i, tuple ) {
+							var fn = jQuery.isFunction( fns[ i ] ) && fns[ i ];
+							// deferred[ done | fail | progress ] for forwarding actions to newDefer
+							deferred[ tuple[1] ](function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && jQuery.isFunction( returned.promise ) ) {
+									returned.promise()
+										.done( newDefer.resolve )
+										.fail( newDefer.reject )
+										.progress( newDefer.notify );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ]( this === promise ? newDefer.promise() : this, fn ? [ returned ] : arguments );
+								}
+							});
+						});
+						fns = null;
+					}).promise();
+				},
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Keep pipe for back-compat
+		promise.pipe = promise.then;
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 3 ];
+
+			// promise[ done | fail | progress ] = list.add
+			promise[ tuple[1] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(function() {
+					// state = [ resolved | rejected ]
+					state = stateString;
+
+				// [ reject_list | resolve_list ].disable; progress_list.lock
+				}, tuples[ i ^ 1 ][ 2 ].disable, tuples[ 2 ][ 2 ].lock );
+			}
+
+			// deferred[ resolve | reject | notify ]
+			deferred[ tuple[0] ] = function() {
+				deferred[ tuple[0] + "With" ]( this === deferred ? promise : this, arguments );
+				return this;
+			};
+			deferred[ tuple[0] + "With" ] = list.fireWith;
+		});
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( subordinate /* , ..., subordinateN */ ) {
+		var i = 0,
+			resolveValues = slice.call( arguments ),
+			length = resolveValues.length,
+
+			// the count of uncompleted subordinates
+			remaining = length !== 1 || ( subordinate && jQuery.isFunction( subordinate.promise ) ) ? length : 0,
+
+			// the master Deferred. If resolveValues consist of only a single Deferred, just use that.
+			deferred = remaining === 1 ? subordinate : jQuery.Deferred(),
+
+			// Update function for both resolve and progress values
+			updateFunc = function( i, contexts, values ) {
+				return function( value ) {
+					contexts[ i ] = this;
+					values[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( values === progressValues ) {
+						deferred.notifyWith( contexts, values );
+					} else if ( !( --remaining ) ) {
+						deferred.resolveWith( contexts, values );
+					}
+				};
+			},
+
+			progressValues, progressContexts, resolveContexts;
+
+		// Add listeners to Deferred subordinates; treat others as resolved
+		if ( length > 1 ) {
+			progressValues = new Array( length );
+			progressContexts = new Array( length );
+			resolveContexts = new Array( length );
+			for ( ; i < length; i++ ) {
+				if ( resolveValues[ i ] && jQuery.isFunction( resolveValues[ i ].promise ) ) {
+					resolveValues[ i ].promise()
+						.done( updateFunc( i, resolveContexts, resolveValues ) )
+						.fail( deferred.reject )
+						.progress( updateFunc( i, progressContexts, progressValues ) );
+				} else {
+					--remaining;
+				}
+			}
+		}
+
+		// If we're not waiting on anything, resolve the master
+		if ( !remaining ) {
+			deferred.resolveWith( resolveContexts, resolveValues );
+		}
+
+		return deferred.promise();
+	}
+});
+
+
+// The deferred used on DOM ready
+var readyList;
+
+jQuery.fn.ready = function( fn ) {
+	// Add the callback
+	jQuery.ready.promise().done( fn );
+
+	return this;
+};
+
+jQuery.extend({
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Hold (or release) the ready event
+	holdReady: function( hold ) {
+		if ( hold ) {
+			jQuery.readyWait++;
+		} else {
+			jQuery.ready( true );
+		}
+	},
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+
+		// Trigger any bound ready events
+		if ( jQuery.fn.triggerHandler ) {
+			jQuery( document ).triggerHandler( "ready" );
+			jQuery( document ).off( "ready" );
+		}
+	}
+});
+
+/**
+ * The ready event handler and self cleanup method
+ */
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed, false );
+	window.removeEventListener( "load", completed, false );
+	jQuery.ready();
+}
+
+jQuery.ready.promise = function( obj ) {
+	if ( !readyList ) {
+
+		readyList = jQuery.Deferred();
+
+		// Catch cases where $(document).ready() is called after the browser event has already occurred.
+		// We once tried to use readyState "interactive" here, but it caused issues like the one
+		// discovered by ChrisS here: http://bugs.jquery.com/ticket/12282#comment:15
+		if ( document.readyState === "complete" ) {
+			// Handle it asynchronously to allow scripts the opportunity to delay ready
+			setTimeout( jQuery.ready );
+
+		} else {
+
+			// Use the handy event callback
+			document.addEventListener( "DOMContentLoaded", completed, false );
+
+			// A fallback to window.onload, that will always work
+			window.addEventListener( "load", completed, false );
+		}
+	}
+	return readyList.promise( obj );
+};
+
+// Kick off the DOM ready check even if the user does not
+jQuery.ready.promise();
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = jQuery.access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( jQuery.type( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			jQuery.access( elems, fn, i, key[i], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !jQuery.isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn( elems[i], key, raw ? value : value.call( elems[i], i, fn( elems[i], key ) ) );
+			}
+		}
+	}
+
+	return chainable ?
+		elems :
+
+		// Gets
+		bulk ?
+			fn.call( elems ) :
+			len ? fn( elems[0], key ) : emptyGet;
+};
+
+
+/**
+ * Determines whether an object can have data
+ */
+jQuery.acceptData = function( owner ) {
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	/* jshint -W018 */
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+function Data() {
+	// Support: Android<4,
+	// Old WebKit does not have Object.preventExtensions/freeze method,
+	// return new empty object instead with no [[set]] accessor
+	Object.defineProperty( this.cache = {}, 0, {
+		get: function() {
+			return {};
+		}
+	});
+
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+Data.accepts = jQuery.acceptData;
+
+Data.prototype = {
+	key: function( owner ) {
+		// We can accept data for non-element nodes in modern browsers,
+		// but we should not, see #8335.
+		// Always return the key for a frozen object.
+		if ( !Data.accepts( owner ) ) {
+			return 0;
+		}
+
+		var descriptor = {},
+			// Check if the owner object already has a cache key
+			unlock = owner[ this.expando ];
+
+		// If not, create one
+		if ( !unlock ) {
+			unlock = Data.uid++;
+
+			// Secure it in a non-enumerable, non-writable property
+			try {
+				descriptor[ this.expando ] = { value: unlock };
+				Object.defineProperties( owner, descriptor );
+
+			// Support: Android<4
+			// Fallback to a less secure definition
+			} catch ( e ) {
+				descriptor[ this.expando ] = unlock;
+				jQuery.extend( owner, descriptor );
+			}
+		}
+
+		// Ensure the cache object
+		if ( !this.cache[ unlock ] ) {
+			this.cache[ unlock ] = {};
+		}
+
+		return unlock;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			// There may be an unlock assigned to this node,
+			// if there is no entry for this "owner", create one inline
+			// and set the unlock as though an owner entry had always existed
+			unlock = this.key( owner ),
+			cache = this.cache[ unlock ];
+
+		// Handle: [ owner, key, value ] args
+		if ( typeof data === "string" ) {
+			cache[ data ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+			// Fresh assignments by object are shallow copied
+			if ( jQuery.isEmptyObject( cache ) ) {
+				jQuery.extend( this.cache[ unlock ], data );
+			// Otherwise, copy the properties one-by-one to the cache object
+			} else {
+				for ( prop in data ) {
+					cache[ prop ] = data[ prop ];
+				}
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		// Either a valid cache is found, or will be created.
+		// New caches will be created and the unlock returned,
+		// allowing direct access to the newly created
+		// empty data object. A valid owner object must be provided.
+		var cache = this.cache[ this.key( owner ) ];
+
+		return key === undefined ?
+			cache : cache[ key ];
+	},
+	access: function( owner, key, value ) {
+		var stored;
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				((key && typeof key === "string") && value === undefined) ) {
+
+			stored = this.get( owner, key );
+
+			return stored !== undefined ?
+				stored : this.get( owner, jQuery.camelCase(key) );
+		}
+
+		// [*]When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i, name, camel,
+			unlock = this.key( owner ),
+			cache = this.cache[ unlock ];
+
+		if ( key === undefined ) {
+			this.cache[ unlock ] = {};
+
+		} else {
+			// Support array or space separated string of keys
+			if ( jQuery.isArray( key ) ) {
+				// If "name" is an array of keys...
+				// When data is initially created, via ("key", "val") signature,
+				// keys will be converted to camelCase.
+				// Since there is no way to tell _how_ a key was added, remove
+				// both plain key and camelCase key. #12786
+				// This will only penalize the array argument path.
+				name = key.concat( key.map( jQuery.camelCase ) );
+			} else {
+				camel = jQuery.camelCase( key );
+				// Try the string as a key before any manipulation
+				if ( key in cache ) {
+					name = [ key, camel ];
+				} else {
+					// If a key with the spaces exists, use it.
+					// Otherwise, create an array by matching non-whitespace
+					name = camel;
+					name = name in cache ?
+						[ name ] : ( name.match( rnotwhite ) || [] );
+				}
+			}
+
+			i = name.length;
+			while ( i-- ) {
+				delete cache[ name[ i ] ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		return !jQuery.isEmptyObject(
+			this.cache[ owner[ this.expando ] ] || {}
+		);
+	},
+	discard: function( owner ) {
+		if ( owner[ this.expando ] ) {
+			delete this.cache[ owner[ this.expando ] ];
+		}
+	}
+};
+var data_priv = new Data();
+
+var data_user = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /([A-Z])/g;
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$1" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = data === "true" ? true :
+					data === "false" ? false :
+					data === "null" ? null :
+					// Only convert to a number if it doesn't change the string
+					+data + "" === data ? +data :
+					rbrace.test( data ) ? jQuery.parseJSON( data ) :
+					data;
+			} catch( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			data_user.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend({
+	hasData: function( elem ) {
+		return data_user.hasData( elem ) || data_priv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return data_user.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		data_user.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to data_priv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return data_priv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		data_priv.remove( elem, name );
+	}
+});
+
+jQuery.fn.extend({
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = data_user.get( elem );
+
+				if ( elem.nodeType === 1 && !data_priv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE11+
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = jQuery.camelCase( name.slice(5) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					data_priv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each(function() {
+				data_user.set( this, key );
+			});
+		}
+
+		return access( this, function( value ) {
+			var data,
+				camelKey = jQuery.camelCase( key );
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+				// Attempt to get data from the cache
+				// with the key as-is
+				data = data_user.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to get data from the cache
+				// with the key camelized
+				data = data_user.get( elem, camelKey );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, camelKey, undefined );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each(function() {
+				// First, attempt to store a copy or reference of any
+				// data that might've been store with a camelCased key.
+				var data = data_user.get( this, camelKey );
+
+				// For HTML5 data-* attribute interop, we have to
+				// store property names with dashes in a camelCase form.
+				// This might not apply to all properties...*
+				data_user.set( this, camelKey, value );
+
+				// *... In the case of properties that might _actually_
+				// have dashes, we need to also store a copy of that
+				// unchanged property.
+				if ( key.indexOf("-") !== -1 && data !== undefined ) {
+					data_user.set( this, key, value );
+				}
+			});
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each(function() {
+			data_user.remove( this, key );
+		});
+	}
+});
+
+
+jQuery.extend({
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = data_priv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || jQuery.isArray( data ) ) {
+					queue = data_priv.access( elem, type, jQuery.makeArray(data) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return data_priv.get( elem, key ) || data_priv.access( elem, key, {
+			empty: jQuery.Callbacks("once memory").add(function() {
+				data_priv.remove( elem, [ type + "queue", key ] );
+			})
+		});
+	}
+});
+
+jQuery.fn.extend({
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[0], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each(function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[0] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			});
+	},
+	dequeue: function( type ) {
+		return this.each(function() {
+			jQuery.dequeue( this, type );
+		});
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = data_priv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+});
+var pnum = (/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/).source;
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var isHidden = function( elem, el ) {
+		// isHidden might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+		return jQuery.css( elem, "display" ) === "none" || !jQuery.contains( elem.ownerDocument, elem );
+	};
+
+var rcheckableType = (/^(?:checkbox|radio)$/i);
+
+
+
+(function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Safari<=5.1
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Safari<=5.1, Android<4.2
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE<=11+
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+})();
+var strundefined = typeof undefined;
+
+
+
+support.focusinBubbles = "onfocusin" in window;
+
+
+var
+	rkeyEvent = /^key/,
+	rmouseEvent = /^(?:mouse|pointer|contextmenu)|click/,
+	rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	rtypenamespace = /^([^.]*)(?:\.(.+)|)$/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = data_priv.get( elem );
+
+		// Don't attach events to noData or text/comment nodes (but allow plain objects)
+		if ( !elemData ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !(events = elemData.events) ) {
+			events = elemData.events = {};
+		}
+		if ( !(eventHandle = elemData.handle) ) {
+			eventHandle = elemData.handle = function( e ) {
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== strundefined && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnotwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[t] ) || [];
+			type = origType = tmp[1];
+			namespaces = ( tmp[2] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend({
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join(".")
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !(handlers = events[ type ]) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup || special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle, false );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = data_priv.hasData( elem ) && data_priv.get( elem );
+
+		if ( !elemData || !(events = elemData.events) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnotwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[t] ) || [];
+			type = origType = tmp[1];
+			namespaces = ( tmp[2] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[2] && new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector || selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown || special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			delete elemData.handle;
+			data_priv.remove( elem, "events" );
+		}
+	},
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split(".") : [];
+
+		cur = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf(".") >= 0 ) {
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split(".");
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf(":") < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join(".");
+		event.namespace_re = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join("\\.(?:.*\\.|)") + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === (elem.ownerDocument || document) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( (cur = eventPath[i++]) && !event.isPropagationStopped() ) {
+
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = ( data_priv.get( cur, "events" ) || {} )[ event.type ] && data_priv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && jQuery.acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( (!special._default || special._default.apply( eventPath.pop(), data ) === false) &&
+				jQuery.acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+					elem[ type ]();
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	dispatch: function( event ) {
+
+		// Make a writable jQuery.Event from the native event object
+		event = jQuery.event.fix( event );
+
+		var i, j, ret, matched, handleObj,
+			handlerQueue = [],
+			args = slice.call( arguments ),
+			handlers = ( data_priv.get( this, "events" ) || {} )[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[0] = event;
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( (matched = handlerQueue[ i++ ]) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( (handleObj = matched.handlers[ j++ ]) && !event.isImmediatePropagationStopped() ) {
+
+				// Triggered event must either 1) have no namespace, or 2) have namespace(s)
+				// a subset or equal to those in the bound event (both can have no namespace).
+				if ( !event.namespace_re || event.namespace_re.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( (jQuery.event.special[ handleObj.origType ] || {}).handle || handleObj.handler )
+							.apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( (event.result = ret) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, matches, sel, handleObj,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		// Black-hole SVG <use> instance trees (#13180)
+		// Avoid non-left-click bubbling in Firefox (#3861)
+		if ( delegateCount && cur.nodeType && (!event.button || event.type !== "click") ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.disabled !== true || event.type !== "click" ) {
+					matches = [];
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matches[ sel ] === undefined ) {
+							matches[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) >= 0 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matches[ sel ] ) {
+							matches.push( handleObj );
+						}
+					}
+					if ( matches.length ) {
+						handlerQueue.push({ elem: cur, handlers: matches });
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push({ elem: this, handlers: handlers.slice( delegateCount ) });
+		}
+
+		return handlerQueue;
+	},
+
+	// Includes some event props shared by KeyEvent and MouseEvent
+	props: "altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "),
+
+	fixHooks: {},
+
+	keyHooks: {
+		props: "char charCode key keyCode".split(" "),
+		filter: function( event, original ) {
+
+			// Add which for key events
+			if ( event.which == null ) {
+				event.which = original.charCode != null ? original.charCode : original.keyCode;
+			}
+
+			return event;
+		}
+	},
+
+	mouseHooks: {
+		props: "button buttons clientX clientY offsetX offsetY pageX pageY screenX screenY toElement".split(" "),
+		filter: function( event, original ) {
+			var eventDoc, doc, body,
+				button = original.button;
+
+			// Calculate pageX/Y if missing and clientX/Y available
+			if ( event.pageX == null && original.clientX != null ) {
+				eventDoc = event.target.ownerDocument || document;
+				doc = eventDoc.documentElement;
+				body = eventDoc.body;
+
+				event.pageX = original.clientX + ( doc && doc.scrollLeft || body && body.scrollLeft || 0 ) - ( doc && doc.clientLeft || body && body.clientLeft || 0 );
+				event.pageY = original.clientY + ( doc && doc.scrollTop  || body && body.scrollTop  || 0 ) - ( doc && doc.clientTop  || body && body.clientTop  || 0 );
+			}
+
+			// Add which for click: 1 === left; 2 === middle; 3 === right
+			// Note: button is not normalized, so don't use it
+			if ( !event.which && button !== undefined ) {
+				event.which = ( button & 1 ? 1 : ( button & 2 ? 3 : ( button & 4 ? 2 : 0 ) ) );
+			}
+
+			return event;
+		}
+	},
+
+	fix: function( event ) {
+		if ( event[ jQuery.expando ] ) {
+			return event;
+		}
+
+		// Create a writable copy of the event object and normalize some properties
+		var i, prop, copy,
+			type = event.type,
+			originalEvent = event,
+			fixHook = this.fixHooks[ type ];
+
+		if ( !fixHook ) {
+			this.fixHooks[ type ] = fixHook =
+				rmouseEvent.test( type ) ? this.mouseHooks :
+				rkeyEvent.test( type ) ? this.keyHooks :
+				{};
+		}
+		copy = fixHook.props ? this.props.concat( fixHook.props ) : this.props;
+
+		event = new jQuery.Event( originalEvent );
+
+		i = copy.length;
+		while ( i-- ) {
+			prop = copy[ i ];
+			event[ prop ] = originalEvent[ prop ];
+		}
+
+		// Support: Cordova 2.5 (WebKit) (#13255)
+		// All events should have a target; Cordova deviceready doesn't
+		if ( !event.target ) {
+			event.target = document;
+		}
+
+		// Support: Safari 6.0+, Chrome<28
+		// Target should not be a text node (#504, #13143)
+		if ( event.target.nodeType === 3 ) {
+			event.target = event.target.parentNode;
+		}
+
+		return fixHook.filter ? fixHook.filter( event, originalEvent ) : event;
+	},
+
+	special: {
+		load: {
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		focus: {
+			// Fire native event if possible so blur/focus sequence is correct
+			trigger: function() {
+				if ( this !== safeActiveElement() && this.focus ) {
+					this.focus();
+					return false;
+				}
+			},
+			delegateType: "focusin"
+		},
+		blur: {
+			trigger: function() {
+				if ( this === safeActiveElement() && this.blur ) {
+					this.blur();
+					return false;
+				}
+			},
+			delegateType: "focusout"
+		},
+		click: {
+			// For checkbox, fire native event so checked state will be right
+			trigger: function() {
+				if ( this.type === "checkbox" && this.click && jQuery.nodeName( this, "input" ) ) {
+					this.click();
+					return false;
+				}
+			},
+
+			// For cross-browser consistency, don't fire native .click() on links
+			_default: function( event ) {
+				return jQuery.nodeName( event.target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	},
+
+	simulate: function( type, elem, event, bubble ) {
+		// Piggyback on a donor event to simulate a different one.
+		// Fake originalEvent to avoid donor's stopPropagation, but if the
+		// simulated event prevents default then we do the same on the donor.
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true,
+				originalEvent: {}
+			}
+		);
+		if ( bubble ) {
+			jQuery.event.trigger( e, null, elem );
+		} else {
+			jQuery.event.dispatch.call( elem, e );
+		}
+		if ( e.isDefaultPrevented() ) {
+			event.preventDefault();
+		}
+	}
+};
+
+jQuery.removeEvent = function( elem, type, handle ) {
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle, false );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+	// Allow instantiation without the 'new' keyword
+	if ( !(this instanceof jQuery.Event) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+				// Support: Android<4.0
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || jQuery.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// http://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && e.preventDefault ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && e.stopPropagation ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && e.stopImmediatePropagation ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// Support: Chrome 15+
+jQuery.each({
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mousenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || (related !== target && !jQuery.contains( target, related )) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+});
+
+// Support: Firefox, Chrome, Safari
+// Create "bubbling" focus and blur events
+if ( !support.focusinBubbles ) {
+	jQuery.each({ focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+				jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ), true );
+			};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+				var doc = this.ownerDocument || this,
+					attaches = data_priv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				data_priv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this,
+					attaches = data_priv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					data_priv.remove( doc, fix );
+
+				} else {
+					data_priv.access( doc, fix, attaches );
+				}
+			}
+		};
+	});
+}
+
+jQuery.fn.extend({
+
+	on: function( types, selector, data, fn, /*INTERNAL*/ one ) {
+		var origFn, type;
+
+		// Types can be a map of types/handlers
+		if ( typeof types === "object" ) {
+			// ( types-Object, selector, data )
+			if ( typeof selector !== "string" ) {
+				// ( types-Object, data )
+				data = data || selector;
+				selector = undefined;
+			}
+			for ( type in types ) {
+				this.on( type, selector, data, types[ type ], one );
+			}
+			return this;
+		}
+
+		if ( data == null && fn == null ) {
+			// ( types, fn )
+			fn = selector;
+			data = selector = undefined;
+		} else if ( fn == null ) {
+			if ( typeof selector === "string" ) {
+				// ( types, selector, fn )
+				fn = data;
+				data = undefined;
+			} else {
+				// ( types, data, fn )
+				fn = data;
+				data = selector;
+				selector = undefined;
+			}
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		} else if ( !fn ) {
+			return this;
+		}
+
+		if ( one === 1 ) {
+			origFn = fn;
+			fn = function( event ) {
+				// Can use an empty set, since event contains the info
+				jQuery().off( event );
+				return origFn.apply( this, arguments );
+			};
+			// Use same guid so caller can remove using origFn
+			fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+		}
+		return this.each( function() {
+			jQuery.event.add( this, types, fn, data, selector );
+		});
+	},
+	one: function( types, selector, data, fn ) {
+		return this.on( types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ? handleObj.origType + "." + handleObj.namespace : handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each(function() {
+			jQuery.event.remove( this, types, fn, selector );
+		});
+	},
+
+	trigger: function( type, data ) {
+		return this.each(function() {
+			jQuery.event.trigger( type, data, this );
+		});
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[0];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+});
+
+
+var
+	rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi,
+	rtagName = /<([\w:]+)/,
+	rhtml = /<|&#?\w+;/,
+	rnoInnerhtml = /<(?:script|style|link)/i,
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rscriptType = /^$|\/(?:java|ecma)script/i,
+	rscriptTypeMasked = /^true\/(.*)/,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g,
+
+	// We have to close these tags to support XHTML (#13200)
+	wrapMap = {
+
+		// Support: IE9
+		option: [ 1, "<select multiple='multiple'>", "</select>" ],
+
+		thead: [ 1, "<table>", "</table>" ],
+		col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+		tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+		td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+		_default: [ 0, "", "" ]
+	};
+
+// Support: IE9
+wrapMap.optgroup = wrapMap.option;
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: 1.x compatibility
+// Manipulating tables requires a tbody
+function manipulationTarget( elem, content ) {
+	return jQuery.nodeName( elem, "table" ) &&
+		jQuery.nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ?
+
+		elem.getElementsByTagName("tbody")[0] ||
+			elem.appendChild( elem.ownerDocument.createElement("tbody") ) :
+		elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = (elem.getAttribute("type") !== null) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	var match = rscriptTypeMasked.exec( elem.type );
+
+	if ( match ) {
+		elem.type = match[ 1 ];
+	} else {
+		elem.removeAttribute("type");
+	}
+
+	return elem;
+}
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		data_priv.set(
+			elems[ i ], "globalEval", !refElements || data_priv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( data_priv.hasData( src ) ) {
+		pdataOld = data_priv.access( src );
+		pdataCur = data_priv.set( dest, pdataOld );
+		events = pdataOld.events;
+
+		if ( events ) {
+			delete pdataCur.handle;
+			pdataCur.events = {};
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( data_user.hasData( src ) ) {
+		udataOld = data_user.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		data_user.set( dest, udataCur );
+	}
+}
+
+function getAll( context, tag ) {
+	var ret = context.getElementsByTagName ? context.getElementsByTagName( tag || "*" ) :
+			context.querySelectorAll ? context.querySelectorAll( tag || "*" ) :
+			[];
+
+	return tag === undefined || tag && jQuery.nodeName( context, tag ) ?
+		jQuery.merge( [ context ], ret ) :
+		ret;
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+jQuery.extend({
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = jQuery.contains( elem.ownerDocument, elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: http://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	buildFragment: function( elems, context, scripts, selection ) {
+		var elem, tmp, tag, wrap, contains, j,
+			fragment = context.createDocumentFragment(),
+			nodes = [],
+			i = 0,
+			l = elems.length;
+
+		for ( ; i < l; i++ ) {
+			elem = elems[ i ];
+
+			if ( elem || elem === 0 ) {
+
+				// Add nodes directly
+				if ( jQuery.type( elem ) === "object" ) {
+					// Support: QtWebKit, PhantomJS
+					// push.apply(_, arraylike) throws on ancient WebKit
+					jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+				// Convert non-html into a text node
+				} else if ( !rhtml.test( elem ) ) {
+					nodes.push( context.createTextNode( elem ) );
+
+				// Convert html into DOM nodes
+				} else {
+					tmp = tmp || fragment.appendChild( context.createElement("div") );
+
+					// Deserialize a standard representation
+					tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+					wrap = wrapMap[ tag ] || wrapMap._default;
+					tmp.innerHTML = wrap[ 1 ] + elem.replace( rxhtmlTag, "<$1></$2>" ) + wrap[ 2 ];
+
+					// Descend through wrappers to the right content
+					j = wrap[ 0 ];
+					while ( j-- ) {
+						tmp = tmp.lastChild;
+					}
+
+					// Support: QtWebKit, PhantomJS
+					// push.apply(_, arraylike) throws on ancient WebKit
+					jQuery.merge( nodes, tmp.childNodes );
+
+					// Remember the top-level container
+					tmp = fragment.firstChild;
+
+					// Ensure the created nodes are orphaned (#12392)
+					tmp.textContent = "";
+				}
+			}
+		}
+
+		// Remove wrapper from fragment
+		fragment.textContent = "";
+
+		i = 0;
+		while ( (elem = nodes[ i++ ]) ) {
+
+			// #4087 - If origin and destination elements are the same, and this is
+			// that element, do not do anything
+			if ( selection && jQuery.inArray( elem, selection ) !== -1 ) {
+				continue;
+			}
+
+			contains = jQuery.contains( elem.ownerDocument, elem );
+
+			// Append to fragment
+			tmp = getAll( fragment.appendChild( elem ), "script" );
+
+			// Preserve script evaluation history
+			if ( contains ) {
+				setGlobalEval( tmp );
+			}
+
+			// Capture executables
+			if ( scripts ) {
+				j = 0;
+				while ( (elem = tmp[ j++ ]) ) {
+					if ( rscriptType.test( elem.type || "" ) ) {
+						scripts.push( elem );
+					}
+				}
+			}
+		}
+
+		return fragment;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type, key,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; (elem = elems[ i ]) !== undefined; i++ ) {
+			if ( jQuery.acceptData( elem ) ) {
+				key = elem[ data_priv.expando ];
+
+				if ( key && (data = data_priv.cache[ key ]) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+					if ( data_priv.cache[ key ] ) {
+						// Discard any remaining `private` data
+						delete data_priv.cache[ key ];
+					}
+				}
+			}
+			// Discard any remaining `user` data
+			delete data_user.cache[ elem[ data_user.expando ] ];
+		}
+	}
+});
+
+jQuery.fn.extend({
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each(function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				});
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return this.domManip( arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		});
+	},
+
+	prepend: function() {
+		return this.domManip( arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		});
+	},
+
+	before: function() {
+		return this.domManip( arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		});
+	},
+
+	after: function() {
+		return this.domManip( arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		});
+	},
+
+	remove: function( selector, keepData /* Internal Use Only */ ) {
+		var elem,
+			elems = selector ? jQuery.filter( selector, this ) : this,
+			i = 0;
+
+		for ( ; (elem = elems[i]) != null; i++ ) {
+			if ( !keepData && elem.nodeType === 1 ) {
+				jQuery.cleanData( getAll( elem ) );
+			}
+
+			if ( elem.parentNode ) {
+				if ( keepData && jQuery.contains( elem.ownerDocument, elem ) ) {
+					setGlobalEval( getAll( elem, "script" ) );
+				}
+				elem.parentNode.removeChild( elem );
+			}
+		}
+
+		return this;
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; (elem = this[i]) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map(function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		});
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = value.replace( rxhtmlTag, "<$1></$2>" );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var arg = arguments[ 0 ];
+
+		// Make the changes, replacing each context element with the new content
+		this.domManip( arguments, function( elem ) {
+			arg = this.parentNode;
+
+			jQuery.cleanData( getAll( this ) );
+
+			if ( arg ) {
+				arg.replaceChild( elem, this );
+			}
+		});
+
+		// Force removal if there was no new content (e.g., from empty arguments)
+		return arg && (arg.length || arg.nodeType) ? this : this.remove();
+	},
+
+	detach: function( selector ) {
+		return this.remove( selector, true );
+	},
+
+	domManip: function( args, callback ) {
+
+		// Flatten any nested arrays
+		args = concat.apply( [], args );
+
+		var fragment, first, scripts, hasScripts, node, doc,
+			i = 0,
+			l = this.length,
+			set = this,
+			iNoClone = l - 1,
+			value = args[ 0 ],
+			isFunction = jQuery.isFunction( value );
+
+		// We can't cloneNode fragments that contain checked, in WebKit
+		if ( isFunction ||
+				( l > 1 && typeof value === "string" &&
+					!support.checkClone && rchecked.test( value ) ) ) {
+			return this.each(function( index ) {
+				var self = set.eq( index );
+				if ( isFunction ) {
+					args[ 0 ] = value.call( this, index, self.html() );
+				}
+				self.domManip( args, callback );
+			});
+		}
+
+		if ( l ) {
+			fragment = jQuery.buildFragment( args, this[ 0 ].ownerDocument, false, this );
+			first = fragment.firstChild;
+
+			if ( fragment.childNodes.length === 1 ) {
+				fragment = first;
+			}
+
+			if ( first ) {
+				scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+				hasScripts = scripts.length;
+
+				// Use the original fragment for the last item instead of the first because it can end up
+				// being emptied incorrectly in certain situations (#8070).
+				for ( ; i < l; i++ ) {
+					node = fragment;
+
+					if ( i !== iNoClone ) {
+						node = jQuery.clone( node, true, true );
+
+						// Keep references to cloned scripts for later restoration
+						if ( hasScripts ) {
+							// Support: QtWebKit
+							// jQuery.merge because push.apply(_, arraylike) throws
+							jQuery.merge( scripts, getAll( node, "script" ) );
+						}
+					}
+
+					callback.call( this[ i ], node, i );
+				}
+
+				if ( hasScripts ) {
+					doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+					// Reenable scripts
+					jQuery.map( scripts, restoreScript );
+
+					// Evaluate executable scripts on first document insertion
+					for ( i = 0; i < hasScripts; i++ ) {
+						node = scripts[ i ];
+						if ( rscriptType.test( node.type || "" ) &&
+							!data_priv.access( node, "globalEval" ) && jQuery.contains( doc, node ) ) {
+
+							if ( node.src ) {
+								// Optional AJAX dependency, but won't run scripts if not present
+								if ( jQuery._evalUrl ) {
+									jQuery._evalUrl( node.src );
+								}
+							} else {
+								jQuery.globalEval( node.textContent.replace( rcleanScript, "" ) );
+							}
+						}
+					}
+				}
+			}
+		}
+
+		return this;
+	}
+});
+
+jQuery.each({
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: QtWebKit
+			// .get() because push.apply(_, arraylike) throws
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+});
+
+
+var iframe,
+	elemdisplay = {};
+
+/**
+ * Retrieve the actual display of a element
+ * @param {String} name nodeName of the element
+ * @param {Object} doc Document object
+ */
+// Called only from within defaultDisplay
+function actualDisplay( name, doc ) {
+	var style,
+		elem = jQuery( doc.createElement( name ) ).appendTo( doc.body ),
+
+		// getDefaultComputedStyle might be reliably used only on attached element
+		display = window.getDefaultComputedStyle && ( style = window.getDefaultComputedStyle( elem[ 0 ] ) ) ?
+
+			// Use of this method is a temporary fix (more like optimization) until something better comes along,
+			// since it was removed from specification and supported only in FF
+			style.display : jQuery.css( elem[ 0 ], "display" );
+
+	// We don't have any data stored on the element,
+	// so use "detach" method as fast way to get rid of the element
+	elem.detach();
+
+	return display;
+}
+
+/**
+ * Try to determine the default display value of an element
+ * @param {String} nodeName
+ */
+function defaultDisplay( nodeName ) {
+	var doc = document,
+		display = elemdisplay[ nodeName ];
+
+	if ( !display ) {
+		display = actualDisplay( nodeName, doc );
+
+		// If the simple way fails, read from inside an iframe
+		if ( display === "none" || !display ) {
+
+			// Use the already-created iframe if possible
+			iframe = (iframe || jQuery( "<iframe frameborder='0' width='0' height='0'/>" )).appendTo( doc.documentElement );
+
+			// Always write a new HTML skeleton so Webkit and Firefox don't choke on reuse
+			doc = iframe[ 0 ].contentDocument;
+
+			// Support: IE
+			doc.write();
+			doc.close();
+
+			display = actualDisplay( nodeName, doc );
+			iframe.detach();
+		}
+
+		// Store the correct default display
+		elemdisplay[ nodeName ] = display;
+	}
+
+	return display;
+}
+var rmargin = (/^margin/);
+
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+		// Support: IE<=11+, Firefox<=30+ (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		if ( elem.ownerDocument.defaultView.opener ) {
+			return elem.ownerDocument.defaultView.getComputedStyle( elem, null );
+		}
+
+		return window.getComputedStyle( elem, null );
+	};
+
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// Support: IE9
+	// getPropertyValue is only needed for .css('filter') (#12537)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+	}
+
+	if ( computed ) {
+
+		if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// Support: iOS < 6
+		// A tribute to the "awesome hack by Dean Edwards"
+		// iOS < 6 (at least) returns percentage for a larger set of values, but width seems to be reliably pixels
+		// this is against the CSSOM draft spec: http://dev.w3.org/csswg/cssom/#resolved-values
+		if ( rnumnonpx.test( ret ) && rmargin.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+		// Support: IE
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return (this.get = hookFn).apply( this, arguments );
+		}
+	};
+}
+
+
+(function() {
+	var pixelPositionVal, boxSizingReliableVal,
+		docElem = document.documentElement,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE9-11+
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	container.style.cssText = "border:0;width:0;height:0;top:0;left:-9999px;margin-top:1px;" +
+		"position:absolute";
+	container.appendChild( div );
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computePixelPositionAndBoxSizingReliable() {
+		div.style.cssText =
+			// Support: Firefox<29, Android 2.3
+			// Vendor-prefix box-sizing
+			"-webkit-box-sizing:border-box;-moz-box-sizing:border-box;" +
+			"box-sizing:border-box;display:block;margin-top:1%;top:1%;" +
+			"border:1px;padding:1px;width:4px;position:absolute";
+		div.innerHTML = "";
+		docElem.appendChild( container );
+
+		var divStyle = window.getComputedStyle( div, null );
+		pixelPositionVal = divStyle.top !== "1%";
+		boxSizingReliableVal = divStyle.width === "4px";
+
+		docElem.removeChild( container );
+	}
+
+	// Support: node.js jsdom
+	// Don't assume that getComputedStyle is a property of the global object
+	if ( window.getComputedStyle ) {
+		jQuery.extend( support, {
+			pixelPosition: function() {
+
+				// This test is executed only once but we still do memoizing
+				// since we can use the boxSizingReliable pre-computing.
+				// No need to check if the test was already performed, though.
+				computePixelPositionAndBoxSizingReliable();
+				return pixelPositionVal;
+			},
+			boxSizingReliable: function() {
+				if ( boxSizingReliableVal == null ) {
+					computePixelPositionAndBoxSizingReliable();
+				}
+				return boxSizingReliableVal;
+			},
+			reliableMarginRight: function() {
+
+				// Support: Android 2.3
+				// Check if div with explicit width and no margin-right incorrectly
+				// gets computed margin-right based on width of container. (#3333)
+				// WebKit Bug 13343 - getComputedStyle returns wrong value for margin-right
+				// This support function is only executed once so no memoizing is needed.
+				var ret,
+					marginDiv = div.appendChild( document.createElement( "div" ) );
+
+				// Reset CSS: box-sizing; display; margin; border; padding
+				marginDiv.style.cssText = div.style.cssText =
+					// Support: Firefox<29, Android 2.3
+					// Vendor-prefix box-sizing
+					"-webkit-box-sizing:content-box;-moz-box-sizing:content-box;" +
+					"box-sizing:content-box;display:block;margin:0;border:0;padding:0";
+				marginDiv.style.marginRight = marginDiv.style.width = "0";
+				div.style.width = "1px";
+				docElem.appendChild( container );
+
+				ret = !parseFloat( window.getComputedStyle( marginDiv, null ).marginRight );
+
+				docElem.removeChild( container );
+				div.removeChild( marginDiv );
+
+				return ret;
+			}
+		});
+	}
+})();
+
+
+// A method for quickly swapping in/out CSS properties to get correct calculations.
+jQuery.swap = function( elem, options, callback, args ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.apply( elem, args || [] );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var
+	// Swappable if display is none or starts with table except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rnumsplit = new RegExp( "^(" + pnum + ")(.*)$", "i" ),
+	rrelNum = new RegExp( "^([+-])=(" + pnum + ")", "i" ),
+
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	},
+
+	cssPrefixes = [ "Webkit", "O", "Moz", "ms" ];
+
+// Return a css property mapped to a potentially vendor prefixed property
+function vendorPropName( style, name ) {
+
+	// Shortcut for names that are not vendor prefixed
+	if ( name in style ) {
+		return name;
+	}
+
+	// Check for vendor prefixed names
+	var capName = name[0].toUpperCase() + name.slice(1),
+		origName = name,
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in style ) {
+			return name;
+		}
+	}
+
+	return origName;
+}
+
+function setPositiveNumber( elem, value, subtract ) {
+	var matches = rnumsplit.exec( value );
+	return matches ?
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 1 ] - ( subtract || 0 ) ) + ( matches[ 2 ] || "px" ) :
+		value;
+}
+
+function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) {
+	var i = extra === ( isBorderBox ? "border" : "content" ) ?
+		// If we already have the right measurement, avoid augmentation
+		4 :
+		// Otherwise initialize for horizontal or vertical properties
+		name === "width" ? 1 : 0,
+
+		val = 0;
+
+	for ( ; i < 4; i += 2 ) {
+		// Both box models exclude margin, so add it if we want it
+		if ( extra === "margin" ) {
+			val += jQuery.css( elem, extra + cssExpand[ i ], true, styles );
+		}
+
+		if ( isBorderBox ) {
+			// border-box includes padding, so remove it if we want content
+			if ( extra === "content" ) {
+				val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// At this point, extra isn't border nor margin, so remove border
+			if ( extra !== "margin" ) {
+				val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		} else {
+			// At this point, extra isn't content, so add padding
+			val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// At this point, extra isn't content nor padding, so add border
+			if ( extra !== "padding" ) {
+				val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	return val;
+}
+
+function getWidthOrHeight( elem, name, extra ) {
+
+	// Start with offset property, which is equivalent to the border-box value
+	var valueIsBorderBox = true,
+		val = name === "width" ? elem.offsetWidth : elem.offsetHeight,
+		styles = getStyles( elem ),
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+	// Some non-html elements return undefined for offsetWidth, so check for null/undefined
+	// svg - https://bugzilla.mozilla.org/show_bug.cgi?id=649285
+	// MathML - https://bugzilla.mozilla.org/show_bug.cgi?id=491668
+	if ( val <= 0 || val == null ) {
+		// Fall back to computed then uncomputed css if necessary
+		val = curCSS( elem, name, styles );
+		if ( val < 0 || val == null ) {
+			val = elem.style[ name ];
+		}
+
+		// Computed unit is not pixels. Stop here and return.
+		if ( rnumnonpx.test(val) ) {
+			return val;
+		}
+
+		// Check for style in case a browser which returns unreliable values
+		// for getComputedStyle silently falls back to the reliable elem.style
+		valueIsBorderBox = isBorderBox &&
+			( support.boxSizingReliable() || val === elem.style[ name ] );
+
+		// Normalize "", auto, and prepare for extra
+		val = parseFloat( val ) || 0;
+	}
+
+	// Use the active box-sizing model to add/subtract irrelevant styles
+	return ( val +
+		augmentWidthOrHeight(
+			elem,
+			name,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles
+		)
+	) + "px";
+}
+
+function showHide( elements, show ) {
+	var display, elem, hidden,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		values[ index ] = data_priv.get( elem, "olddisplay" );
+		display = elem.style.display;
+		if ( show ) {
+			// Reset the inline display of this element to learn if it is
+			// being hidden by cascaded rules or not
+			if ( !values[ index ] && display === "none" ) {
+				elem.style.display = "";
+			}
+
+			// Set elements which have been overridden with display: none
+			// in a stylesheet to whatever the default browser style is
+			// for such an element
+			if ( elem.style.display === "" && isHidden( elem ) ) {
+				values[ index ] = data_priv.access( elem, "olddisplay", defaultDisplay(elem.nodeName) );
+			}
+		} else {
+			hidden = isHidden( elem );
+
+			if ( display !== "none" || !hidden ) {
+				data_priv.set( elem, "olddisplay", hidden ? display : jQuery.css( elem, "display" ) );
+			}
+		}
+	}
+
+	// Set the display of most of the elements in a second loop
+	// to avoid the constant reflow
+	for ( index = 0; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+		if ( !show || elem.style.display === "none" || elem.style.display === "" ) {
+			elem.style.display = show ? values[ index ] || "" : "none";
+		}
+	}
+
+	return elements;
+}
+
+jQuery.extend({
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {
+		"float": "cssFloat"
+	},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = jQuery.camelCase( name ),
+			style = elem.style;
+
+		name = jQuery.cssProps[ origName ] || ( jQuery.cssProps[ origName ] = vendorPropName( style, origName ) );
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && (ret = rrelNum.exec( value )) ) {
+				value = ( ret[1] + 1 ) * ret[2] + parseFloat( jQuery.css( elem, name ) );
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number, add 'px' to the (except for certain CSS properties)
+			if ( type === "number" && !jQuery.cssNumber[ origName ] ) {
+				value += "px";
+			}
+
+			// Support: IE9-11+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !("set" in hooks) || (value = hooks.set( elem, value, extra )) !== undefined ) {
+				style[ name ] = value;
+			}
+
+		} else {
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks && (ret = hooks.get( elem, false, extra )) !== undefined ) {
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = jQuery.camelCase( name );
+
+		// Make sure that we're working with the right name
+		name = jQuery.cssProps[ origName ] || ( jQuery.cssProps[ origName ] = vendorPropName( elem.style, origName ) );
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || jQuery.isNumeric( num ) ? num || 0 : val;
+		}
+		return val;
+	}
+});
+
+jQuery.each([ "height", "width" ], function( i, name ) {
+	jQuery.cssHooks[ name ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) && elem.offsetWidth === 0 ?
+					jQuery.swap( elem, cssShow, function() {
+						return getWidthOrHeight( elem, name, extra );
+					}) :
+					getWidthOrHeight( elem, name, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var styles = extra && getStyles( elem );
+			return setPositiveNumber( elem, value, extra ?
+				augmentWidthOrHeight(
+					elem,
+					name,
+					extra,
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+					styles
+				) : 0
+			);
+		}
+	};
+});
+
+// Support: Android 2.3
+jQuery.cssHooks.marginRight = addGetHookIf( support.reliableMarginRight,
+	function( elem, computed ) {
+		if ( computed ) {
+			return jQuery.swap( elem, { "display": "inline-block" },
+				curCSS, [ elem, "marginRight" ] );
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each({
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split(" ") : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( !rmargin.test( prefix ) ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+});
+
+jQuery.fn.extend({
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( jQuery.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	},
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each(function() {
+			if ( isHidden( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		});
+	}
+});
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || "swing";
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			if ( tween.elem[ tween.prop ] != null &&
+				(!tween.elem.style || tween.elem.style[ tween.prop ] == null) ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.style && ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || jQuery.cssHooks[ tween.prop ] ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE9
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	}
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back Compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, timerId,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rfxnum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ),
+	rrun = /queueHooks$/,
+	animationPrefilters = [ defaultPrefilter ],
+	tweeners = {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value ),
+				target = tween.cur(),
+				parts = rfxnum.exec( value ),
+				unit = parts && parts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+				// Starting value computation is required for potential unit mismatches
+				start = ( jQuery.cssNumber[ prop ] || unit !== "px" && +target ) &&
+					rfxnum.exec( jQuery.css( tween.elem, prop ) ),
+				scale = 1,
+				maxIterations = 20;
+
+			if ( start && start[ 3 ] !== unit ) {
+				// Trust units reported by jQuery.css
+				unit = unit || start[ 3 ];
+
+				// Make sure we update the tween properties later on
+				parts = parts || [];
+
+				// Iteratively approximate from a nonzero starting point
+				start = +target || 1;
+
+				do {
+					// If previous iteration zeroed out, double until we get *something*.
+					// Use string for doubling so we don't accidentally see scale as unchanged below
+					scale = scale || ".5";
+
+					// Adjust and apply
+					start = start / scale;
+					jQuery.style( tween.elem, prop, start + unit );
+
+				// Update scale, tolerating zero or NaN from tween.cur(),
+				// break the loop if scale is unchanged or perfect, or if we've just had enough
+				} while ( scale !== (scale = tween.cur() / target) && scale !== 1 && --maxIterations );
+			}
+
+			// Update tween properties
+			if ( parts ) {
+				start = tween.start = +start || +target || 0;
+				tween.unit = unit;
+				// If a +=/-= token was provided, we're doing a relative animation
+				tween.end = parts[ 1 ] ?
+					start + ( parts[ 1 ] + 1 ) * parts[ 2 ] :
+					+parts[ 2 ];
+			}
+
+			return tween;
+		} ]
+	};
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	setTimeout(function() {
+		fxNow = undefined;
+	});
+	return ( fxNow = jQuery.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4 ; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( tweeners[ prop ] || [] ).concat( tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( (tween = collection[ index ].call( animation, prop, value )) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	/* jshint validthis: true */
+	var prop, value, toggle, tween, hooks, oldfire, display, checkDisplay,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHidden( elem ),
+		dataShow = data_priv.get( elem, "fxshow" );
+
+	// Handle queue: false promises
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always(function() {
+			// Ensure the complete handler is called before this completes
+			anim.always(function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			});
+		});
+	}
+
+	// Height/width overflow pass
+	if ( elem.nodeType === 1 && ( "height" in props || "width" in props ) ) {
+		// Make sure that nothing sneaks out
+		// Record all 3 overflow attributes because IE9-10 do not
+		// change the overflow attribute when overflowX and
+		// overflowY are set to the same value
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Set display property to inline-block for height/width
+		// animations on inline elements that are having width/height animated
+		display = jQuery.css( elem, "display" );
+
+		// Test default display if display is currently "none"
+		checkDisplay = display === "none" ?
+			data_priv.get( elem, "olddisplay" ) || defaultDisplay( elem.nodeName ) : display;
+
+		if ( checkDisplay === "inline" && jQuery.css( elem, "float" ) === "none" ) {
+			style.display = "inline-block";
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always(function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		});
+	}
+
+	// show/hide pass
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.exec( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// If there is dataShow left over from a stopped hide or show and we are going to proceed with show, we should pretend to be hidden
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+
+		// Any non-fx value stops us from restoring the original display value
+		} else {
+			display = undefined;
+		}
+	}
+
+	if ( !jQuery.isEmptyObject( orig ) ) {
+		if ( dataShow ) {
+			if ( "hidden" in dataShow ) {
+				hidden = dataShow.hidden;
+			}
+		} else {
+			dataShow = data_priv.access( elem, "fxshow", {} );
+		}
+
+		// Store state if its toggle - enables .stop().toggle() to "reverse"
+		if ( toggle ) {
+			dataShow.hidden = !hidden;
+		}
+		if ( hidden ) {
+			jQuery( elem ).show();
+		} else {
+			anim.done(function() {
+				jQuery( elem ).hide();
+			});
+		}
+		anim.done(function() {
+			var prop;
+
+			data_priv.remove( elem, "fxshow" );
+			for ( prop in orig ) {
+				jQuery.style( elem, prop, orig[ prop ] );
+			}
+		});
+		for ( prop in orig ) {
+			tween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+
+			if ( !( prop in dataShow ) ) {
+				dataShow[ prop ] = tween.start;
+				if ( hidden ) {
+					tween.end = tween.start;
+					tween.start = prop === "width" || prop === "height" ? 1 : 0;
+				}
+			}
+		}
+
+	// If this is a noop like .hide().hide(), restore an overwritten display value
+	} else if ( (display === "none" ? defaultDisplay( elem.nodeName ) : display) === "inline" ) {
+		style.display = display;
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = jQuery.camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( jQuery.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = animationPrefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		}),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+				// Support: Android 2.3
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length ; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ]);
+
+			if ( percent < 1 && length ) {
+				return remaining;
+			} else {
+				deferred.resolveWith( elem, [ animation ] );
+				return false;
+			}
+		},
+		animation = deferred.promise({
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, { specialEasing: {} }, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+						animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length ; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		}),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length ; index++ ) {
+		result = animationPrefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( jQuery.isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		})
+	);
+
+	// attach callbacks from options
+	return animation.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweener: function( props, callback ) {
+		if ( jQuery.isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.split(" ");
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length ; index++ ) {
+			prop = props[ index ];
+			tweeners[ prop ] = tweeners[ prop ] || [];
+			tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			animationPrefilters.unshift( callback );
+		} else {
+			animationPrefilters.push( callback );
+		}
+	}
+});
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			jQuery.isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing
+	};
+
+	opt.duration = jQuery.fx.off ? 0 : typeof opt.duration === "number" ? opt.duration :
+		opt.duration in jQuery.fx.speeds ? jQuery.fx.speeds[ opt.duration ] : jQuery.fx.speeds._default;
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( jQuery.isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend({
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHidden ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate({ opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || data_priv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+			doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue && type !== false ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each(function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = data_priv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && (type == null || timers[ index ].queue === type) ) {
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		});
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each(function() {
+			var index,
+				data = data_priv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		});
+	}
+});
+
+jQuery.each([ "toggle", "show", "hide" ], function( i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+});
+
+// Generate shortcuts for custom animations
+jQuery.each({
+	slideDown: genFx("show"),
+	slideUp: genFx("hide"),
+	slideToggle: genFx("toggle"),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+});
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = jQuery.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+		// Checks the timer has not already been removed
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	if ( timer() ) {
+		jQuery.fx.start();
+	} else {
+		jQuery.timers.pop();
+	}
+};
+
+jQuery.fx.interval = 13;
+
+jQuery.fx.start = function() {
+	if ( !timerId ) {
+		timerId = setInterval( jQuery.fx.tick, jQuery.fx.interval );
+	}
+};
+
+jQuery.fx.stop = function() {
+	clearInterval( timerId );
+	timerId = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = setTimeout( next, time );
+		hooks.stop = function() {
+			clearTimeout( timeout );
+		};
+	});
+};
+
+
+(function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: iOS<=5.1, Android<=4.2+
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE<=11+
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: Android<=2.3
+	// Options inside disabled selects are incorrectly marked as disabled
+	select.disabled = true;
+	support.optDisabled = !opt.disabled;
+
+	// Support: IE<=11+
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+})();
+
+
+var nodeHook, boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend({
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each(function() {
+			jQuery.removeAttr( this, name );
+		});
+	}
+});
+
+jQuery.extend({
+	attr: function( elem, name, value ) {
+		var hooks, ret,
+			nType = elem.nodeType;
+
+		// don't get/set attributes on text, comment and attribute nodes
+		if ( !elem || nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === strundefined ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// All attributes are lowercase
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			name = name.toLowerCase();
+			hooks = jQuery.attrHooks[ name ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : nodeHook );
+		}
+
+		if ( value !== undefined ) {
+
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+
+			} else if ( hooks && "set" in hooks && (ret = hooks.set( elem, value, name )) !== undefined ) {
+				return ret;
+
+			} else {
+				elem.setAttribute( name, value + "" );
+				return value;
+			}
+
+		} else if ( hooks && "get" in hooks && (ret = hooks.get( elem, name )) !== null ) {
+			return ret;
+
+		} else {
+			ret = jQuery.find.attr( elem, name );
+
+			// Non-existent attributes return null, we normalize to undefined
+			return ret == null ?
+				undefined :
+				ret;
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name, propName,
+			i = 0,
+			attrNames = value && value.match( rnotwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( (name = attrNames[i++]) ) {
+				propName = jQuery.propFix[ name ] || name;
+
+				// Boolean attributes get special treatment (#10870)
+				if ( jQuery.expr.match.bool.test( name ) ) {
+					// Set corresponding property to false
+					elem[ propName ] = false;
+				}
+
+				elem.removeAttribute( name );
+			}
+		}
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					jQuery.nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	}
+});
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle;
+		if ( !isXML ) {
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ name ];
+			attrHandle[ name ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				name.toLowerCase() :
+				null;
+			attrHandle[ name ] = handle;
+		}
+		return ret;
+	};
+});
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i;
+
+jQuery.fn.extend({
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each(function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		});
+	}
+});
+
+jQuery.extend({
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	},
+
+	prop: function( elem, name, value ) {
+		var ret, hooks, notxml,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( !elem || nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		notxml = nType !== 1 || !jQuery.isXMLDoc( elem );
+
+		if ( notxml ) {
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			return hooks && "set" in hooks && (ret = hooks.set( elem, value, name )) !== undefined ?
+				ret :
+				( elem[ name ] = value );
+
+		} else {
+			return hooks && "get" in hooks && (ret = hooks.get( elem, name )) !== null ?
+				ret :
+				elem[ name ];
+		}
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+				return elem.hasAttribute( "tabindex" ) || rfocusable.test( elem.nodeName ) || elem.href ?
+					elem.tabIndex :
+					-1;
+			}
+		}
+	}
+});
+
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		}
+	};
+}
+
+jQuery.each([
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+});
+
+
+
+
+var rclass = /[\t\r\n\f]/g;
+
+jQuery.fn.extend({
+	addClass: function( value ) {
+		var classes, elem, cur, clazz, j, finalValue,
+			proceed = typeof value === "string" && value,
+			i = 0,
+			len = this.length;
+
+		if ( jQuery.isFunction( value ) ) {
+			return this.each(function( j ) {
+				jQuery( this ).addClass( value.call( this, j, this.className ) );
+			});
+		}
+
+		if ( proceed ) {
+			// The disjunction here is for better compressibility (see removeClass)
+			classes = ( value || "" ).match( rnotwhite ) || [];
+
+			for ( ; i < len; i++ ) {
+				elem = this[ i ];
+				cur = elem.nodeType === 1 && ( elem.className ?
+					( " " + elem.className + " " ).replace( rclass, " " ) :
+					" "
+				);
+
+				if ( cur ) {
+					j = 0;
+					while ( (clazz = classes[j++]) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// only assign if different to avoid unneeded rendering.
+					finalValue = jQuery.trim( cur );
+					if ( elem.className !== finalValue ) {
+						elem.className = finalValue;
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, clazz, j, finalValue,
+			proceed = arguments.length === 0 || typeof value === "string" && value,
+			i = 0,
+			len = this.length;
+
+		if ( jQuery.isFunction( value ) ) {
+			return this.each(function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, this.className ) );
+			});
+		}
+		if ( proceed ) {
+			classes = ( value || "" ).match( rnotwhite ) || [];
+
+			for ( ; i < len; i++ ) {
+				elem = this[ i ];
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( elem.className ?
+					( " " + elem.className + " " ).replace( rclass, " " ) :
+					""
+				);
+
+				if ( cur ) {
+					j = 0;
+					while ( (clazz = classes[j++]) ) {
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) >= 0 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = value ? jQuery.trim( cur ) : "";
+					if ( elem.className !== finalValue ) {
+						elem.className = finalValue;
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value;
+
+		if ( typeof stateVal === "boolean" && type === "string" ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( jQuery.isFunction( value ) ) {
+			return this.each(function( i ) {
+				jQuery( this ).toggleClass( value.call(this, i, this.className, stateVal), stateVal );
+			});
+		}
+
+		return this.each(function() {
+			if ( type === "string" ) {
+				// Toggle individual class names
+				var className,
+					i = 0,
+					self = jQuery( this ),
+					classNames = value.match( rnotwhite ) || [];
+
+				while ( (className = classNames[ i++ ]) ) {
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( type === strundefined || type === "boolean" ) {
+				if ( this.className ) {
+					// store className if set
+					data_priv.set( this, "__className__", this.className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				this.className = this.className || value === false ? "" : data_priv.get( this, "__className__" ) || "";
+			}
+		});
+	},
+
+	hasClass: function( selector ) {
+		var className = " " + selector + " ",
+			i = 0,
+			l = this.length;
+		for ( ; i < l; i++ ) {
+			if ( this[i].nodeType === 1 && (" " + this[i].className + " ").replace(rclass, " ").indexOf( className ) >= 0 ) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+});
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend({
+	val: function( value ) {
+		var hooks, ret, isFunction,
+			elem = this[0];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] || jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks && "get" in hooks && (ret = hooks.get( elem, "value" )) !== undefined ) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				return typeof ret === "string" ?
+					// Handle most common string cases
+					ret.replace(rreturn, "") :
+					// Handle cases where value is null/undef or number
+					ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		isFunction = jQuery.isFunction( value );
+
+		return this.each(function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( isFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( jQuery.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				});
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !("set" in hooks) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		});
+	}
+});
+
+jQuery.extend({
+	valHooks: {
+		option: {
+			get: function( elem ) {
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+					// Support: IE10-11+
+					// option.text throws exceptions (#14686, #14858)
+					jQuery.trim( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one" || index < 0,
+					values = one ? null : [],
+					max = one ? index + 1 : options.length,
+					i = index < 0 ?
+						max :
+						one ? index : 0;
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// IE6-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+							// Don't return options that are disabled or in a disabled optgroup
+							( support.optDisabled ? !option.disabled : option.getAttribute( "disabled" ) === null ) &&
+							( !option.parentNode.disabled || !jQuery.nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+					if ( (option.selected = jQuery.inArray( option.value, values ) >= 0) ) {
+						optionSet = true;
+					}
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+});
+
+// Radios and checkboxes getter/setter
+jQuery.each([ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( jQuery.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery(elem).val(), value ) >= 0 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute("value") === null ? "on" : elem.value;
+		};
+	}
+});
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+jQuery.each( ("blur focus focusin focusout load resize scroll unload click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup error contextmenu").split(" "), function( i, name ) {
+
+	// Handle event binding
+	jQuery.fn[ name ] = function( data, fn ) {
+		return arguments.length > 0 ?
+			this.on( name, null, data, fn ) :
+			this.trigger( name );
+	};
+});
+
+jQuery.fn.extend({
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	},
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ? this.off( selector, "**" ) : this.off( types, selector || "**", fn );
+	}
+});
+
+
+var nonce = jQuery.now();
+
+var rquery = (/\?/);
+
+
+
+// Support: Android 2.3
+// Workaround failure to string-cast null input
+jQuery.parseJSON = function( data ) {
+	return JSON.parse( data + "" );
+};
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml, tmp;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE9
+	try {
+		tmp = new DOMParser();
+		xml = tmp.parseFromString( data, "text/xml" );
+	} catch ( e ) {
+		xml = undefined;
+	}
+
+	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
+		jQuery.error( "Invalid XML: " + data );
+	}
+	return xml;
+};
+
+
+var
+	rhash = /#.*$/,
+	rts = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+	rurl = /^([\w.+-]+:)(?:\/\/(?:[^\/?#]*@|)([^\/?#:]*)(?::(\d+)|)|)/,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Document location
+	ajaxLocation = window.location.href,
+
+	// Segment location into parts
+	ajaxLocParts = rurl.exec( ajaxLocation.toLowerCase() ) || [];
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnotwhite ) || [];
+
+		if ( jQuery.isFunction( func ) ) {
+			// For each dataType in the dataTypeExpression
+			while ( (dataType = dataTypes[i++]) ) {
+				// Prepend if requested
+				if ( dataType[0] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					(structure[ dataType ] = structure[ dataType ] || []).unshift( func );
+
+				// Otherwise append
+				} else {
+					(structure[ dataType ] = structure[ dataType ] || []).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" && !seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		});
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || (deep = {}) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader("Content-Type");
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[0] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+		// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s[ "throws" ] ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return { state: "parsererror", error: conv ? e : "No conversion from " + prev + " to " + current };
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend({
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: ajaxLocation,
+		type: "GET",
+		isLocal: rlocalProtocol.test( ajaxLocParts[ 1 ] ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /xml/,
+			html: /html/,
+			json: /json/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": jQuery.parseJSON,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+			// URL without anti-cache param
+			cacheURL,
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+			// timeout handle
+			timeoutTimer,
+			// Cross-domain detection vars
+			parts,
+			// To know if global events are to be dispatched
+			fireGlobals,
+			// Loop variable
+			i,
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+			// Callbacks context
+			callbackContext = s.context || s,
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context && ( callbackContext.nodeType || callbackContext.jquery ) ?
+				jQuery( callbackContext ) :
+				jQuery.event,
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks("once memory"),
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+			// The jqXHR state
+			state = 0,
+			// Default abort message
+			strAbort = "canceled",
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( state === 2 ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( (match = rheaders.exec( responseHeadersString )) ) {
+								responseHeaders[ match[1].toLowerCase() ] = match[ 2 ];
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() ];
+					}
+					return match == null ? null : match;
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return state === 2 ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					var lname = name.toLowerCase();
+					if ( !state ) {
+						name = requestHeadersNames[ lname ] = requestHeadersNames[ lname ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( !state ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( state < 2 ) {
+							for ( code in map ) {
+								// Lazy-add the new callback in a way that preserves old ones
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						} else {
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR ).complete = completeDeferred.add;
+		jqXHR.success = jqXHR.done;
+		jqXHR.error = jqXHR.fail;
+
+		// Remove hash character (#7531: and string promotion)
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || ajaxLocation ) + "" ).replace( rhash, "" )
+			.replace( rprotocol, ajaxLocParts[ 1 ] + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = jQuery.trim( s.dataType || "*" ).toLowerCase().match( rnotwhite ) || [ "" ];
+
+		// A cross-domain request is in order when we have a protocol:host:port mismatch
+		if ( s.crossDomain == null ) {
+			parts = rurl.exec( s.url.toLowerCase() );
+			s.crossDomain = !!( parts &&
+				( parts[ 1 ] !== ajaxLocParts[ 1 ] || parts[ 2 ] !== ajaxLocParts[ 2 ] ||
+					( parts[ 3 ] || ( parts[ 1 ] === "http:" ? "80" : "443" ) ) !==
+						( ajaxLocParts[ 3 ] || ( ajaxLocParts[ 1 ] === "http:" ? "80" : "443" ) ) )
+			);
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( state === 2 ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger("ajaxStart");
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		cacheURL = s.url;
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// If data is available, append data to url
+			if ( s.data ) {
+				cacheURL = ( s.url += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data );
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add anti-cache in url if needed
+			if ( s.cache === false ) {
+				s.url = rts.test( cacheURL ) ?
+
+					// If there is already a '_' parameter, set its value
+					cacheURL.replace( rts, "$1_=" + nonce++ ) :
+
+					// Otherwise add one to the end
+					cacheURL + ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + nonce++;
+			}
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[0] ] ?
+				s.accepts[ s.dataTypes[0] ] + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend && ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || state === 2 ) ) {
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		for ( i in { success: 1, error: 1, complete: 1 } ) {
+			jqXHR[ i ]( s[ i ] );
+		}
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = setTimeout(function() {
+					jqXHR.abort("timeout");
+				}, s.timeout );
+			}
+
+			try {
+				state = 1;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+				// Propagate exception as error if not done
+				if ( state < 2 ) {
+					done( -1, e );
+				// Simply rethrow otherwise
+				} else {
+					throw e;
+				}
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Called once
+			if ( state === 2 ) {
+				return;
+			}
+
+			// State is "done" now
+			state = 2;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader("Last-Modified");
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader("etag");
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger("ajaxStop");
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+});
+
+jQuery.each( [ "get", "post" ], function( i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+		// Shift arguments if data argument was omitted
+		if ( jQuery.isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		return jQuery.ajax({
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		});
+	};
+});
+
+
+jQuery._evalUrl = function( url ) {
+	return jQuery.ajax({
+		url: url,
+		type: "GET",
+		dataType: "script",
+		async: false,
+		global: false,
+		"throws": true
+	});
+};
+
+
+jQuery.fn.extend({
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( jQuery.isFunction( html ) ) {
+			return this.each(function( i ) {
+				jQuery( this ).wrapAll( html.call(this, i) );
+			});
+		}
+
+		if ( this[ 0 ] ) {
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map(function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			}).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( jQuery.isFunction( html ) ) {
+			return this.each(function( i ) {
+				jQuery( this ).wrapInner( html.call(this, i) );
+			});
+		}
+
+		return this.each(function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		});
+	},
+
+	wrap: function( html ) {
+		var isFunction = jQuery.isFunction( html );
+
+		return this.each(function( i ) {
+			jQuery( this ).wrapAll( isFunction ? html.call(this, i) : html );
+		});
+	},
+
+	unwrap: function() {
+		return this.parent().each(function() {
+			if ( !jQuery.nodeName( this, "body" ) ) {
+				jQuery( this ).replaceWith( this.childNodes );
+			}
+		}).end();
+	}
+});
+
+
+jQuery.expr.filters.hidden = function( elem ) {
+	// Support: Opera <= 12.12
+	// Opera reports offsetWidths and offsetHeights less than zero on some elements
+	return elem.offsetWidth <= 0 && elem.offsetHeight <= 0;
+};
+jQuery.expr.filters.visible = function( elem ) {
+	return !jQuery.expr.filters.hidden( elem );
+};
+
+
+
+
+var r20 = /%20/g,
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( jQuery.isArray( obj ) ) {
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams( prefix + "[" + ( typeof v === "object" ? i : "" ) + "]", v, traditional, add );
+			}
+		});
+
+	} else if ( !traditional && jQuery.type( obj ) === "object" ) {
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, value ) {
+			// If value is a function, invoke it and return its value
+			value = jQuery.isFunction( value ) ? value() : ( value == null ? "" : value );
+			s[ s.length ] = encodeURIComponent( key ) + "=" + encodeURIComponent( value );
+		};
+
+	// Set traditional to true for jQuery <= 1.3.2 behavior.
+	if ( traditional === undefined ) {
+		traditional = jQuery.ajaxSettings && jQuery.ajaxSettings.traditional;
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( jQuery.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		});
+
+	} else {
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" ).replace( r20, "+" );
+};
+
+jQuery.fn.extend({
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map(function() {
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		})
+		.filter(function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		})
+		.map(function( i, elem ) {
+			var val = jQuery( this ).val();
+
+			return val == null ?
+				null :
+				jQuery.isArray( val ) ?
+					jQuery.map( val, function( val ) {
+						return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+					}) :
+					{ name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		}).get();
+	}
+});
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new XMLHttpRequest();
+	} catch( e ) {}
+};
+
+var xhrId = 0,
+	xhrCallbacks = {},
+	xhrSuccessStatus = {
+		// file protocol always yields status code 0, assume 200
+		0: 200,
+		// Support: IE9
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+// Support: IE9
+// Open requests must be manually aborted on unload (#5280)
+// See https://support.microsoft.com/kb/2856746 for more info
+if ( window.attachEvent ) {
+	window.attachEvent( "onunload", function() {
+		for ( var key in xhrCallbacks ) {
+			xhrCallbacks[ key ]();
+		}
+	});
+}
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport(function( options ) {
+	var callback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr(),
+					id = ++xhrId;
+
+				xhr.open( options.type, options.url, options.async, options.username, options.password );
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers["X-Requested-With"] ) {
+					headers["X-Requested-With"] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							delete xhrCallbacks[ id ];
+							callback = xhr.onload = xhr.onerror = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+								complete(
+									// file: protocol always yields status 0; see #8605, #14207
+									xhr.status,
+									xhr.statusText
+								);
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+									// Support: IE9
+									// Accessing binary-data responseText throws an exception
+									// (#11426)
+									typeof xhr.responseText === "string" ? {
+										text: xhr.responseText
+									} : undefined,
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				xhr.onerror = callback("error");
+
+				// Create the abort callback
+				callback = xhrCallbacks[ id ] = callback("abort");
+
+				try {
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+});
+
+
+
+
+// Install script dataType
+jQuery.ajaxSetup({
+	accepts: {
+		script: "text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /(?:java|ecma)script/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+});
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+});
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+	// This transport only deals with cross domain requests
+	if ( s.crossDomain ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery("<script>").prop({
+					async: true,
+					charset: s.scriptCharset,
+					src: s.url
+				}).on(
+					"load error",
+					callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					}
+				);
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+});
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup({
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+});
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" && !( s.contentType || "" ).indexOf("application/x-www-form-urlencoded") && rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = jQuery.isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters["script json"] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always(function() {
+			// Restore preexisting value
+			window[ callbackName ] = overwritten;
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+				// make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && jQuery.isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		});
+
+		// Delegate to script
+		return "script";
+	}
+});
+
+
+
+
+// data: string of html
+// context (optional): If specified, the fragment will be created in this context, defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+	context = context || document;
+
+	var parsed = rsingleTag.exec( data ),
+		scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[1] ) ];
+	}
+
+	parsed = jQuery.buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+// Keep a copy of the old load method
+var _load = jQuery.fn.load;
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	if ( typeof url !== "string" && _load ) {
+		return _load.apply( this, arguments );
+	}
+
+	var selector, type, response,
+		self = this,
+		off = url.indexOf(" ");
+
+	if ( off >= 0 ) {
+		selector = jQuery.trim( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( jQuery.isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax({
+			url: url,
+
+			// if "type" variable is undefined, then "GET" method will be used
+			type: type,
+			dataType: "html",
+			data: params
+		}).done(function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery("<div>").append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		}).complete( callback && function( jqXHR, status ) {
+			self.each( callback, response || [ jqXHR.responseText, status, jqXHR ] );
+		});
+	}
+
+	return this;
+};
+
+
+
+
+// Attach a bunch of functions for handling common AJAX events
+jQuery.each( [ "ajaxStart", "ajaxStop", "ajaxComplete", "ajaxError", "ajaxSuccess", "ajaxSend" ], function( i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+});
+
+
+
+
+jQuery.expr.filters.animated = function( elem ) {
+	return jQuery.grep(jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	}).length;
+};
+
+
+
+
+var docElem = window.document.documentElement;
+
+/**
+ * Gets a window from an element
+ */
+function getWindow( elem ) {
+	return jQuery.isWindow( elem ) ? elem : elem.nodeType === 9 && elem.defaultView;
+}
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf("auto") > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( jQuery.isFunction( options ) ) {
+			options = options.call( elem, i, curOffset );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend({
+	offset: function( options ) {
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each(function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				});
+		}
+
+		var docElem, win,
+			elem = this[ 0 ],
+			box = { top: 0, left: 0 },
+			doc = elem && elem.ownerDocument;
+
+		if ( !doc ) {
+			return;
+		}
+
+		docElem = doc.documentElement;
+
+		// Make sure it's not a disconnected DOM node
+		if ( !jQuery.contains( docElem, elem ) ) {
+			return box;
+		}
+
+		// Support: BlackBerry 5, iOS 3 (original iPhone)
+		// If we don't have gBCR, just use 0,0 rather than error
+		if ( typeof elem.getBoundingClientRect !== strundefined ) {
+			box = elem.getBoundingClientRect();
+		}
+		win = getWindow( doc );
+		return {
+			top: box.top + win.pageYOffset - docElem.clientTop,
+			left: box.left + win.pageXOffset - docElem.clientLeft
+		};
+	},
+
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// Fixed elements are offset from window (parentOffset = {top:0, left: 0}, because it is its only offset parent
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+			// Assume getBoundingClientRect is there when computed position is fixed
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			// Get *real* offsetParent
+			offsetParent = this.offsetParent();
+
+			// Get correct offsets
+			offset = this.offset();
+			if ( !jQuery.nodeName( offsetParent[ 0 ], "html" ) ) {
+				parentOffset = offsetParent.offset();
+			}
+
+			// Add offsetParent borders
+			parentOffset.top += jQuery.css( offsetParent[ 0 ], "borderTopWidth", true );
+			parentOffset.left += jQuery.css( offsetParent[ 0 ], "borderLeftWidth", true );
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	offsetParent: function() {
+		return this.map(function() {
+			var offsetParent = this.offsetParent || docElem;
+
+			while ( offsetParent && ( !jQuery.nodeName( offsetParent, "html" ) && jQuery.css( offsetParent, "position" ) === "static" ) ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || docElem;
+		});
+	}
+});
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+			var win = getWindow( elem );
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : window.pageXOffset,
+					top ? val : window.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length, null );
+	};
+});
+
+// Support: Safari<7+, Chrome<37+
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://code.google.com/p/chromium/issues/detail?id=229280
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+});
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name }, function( defaultExtra, funcName ) {
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( jQuery.isWindow( elem ) ) {
+					// As of 5/8/2012 this will yield incorrect results for Mobile Safari, but there
+					// isn't a whole lot we can do. See pull request at this URL for discussion:
+					// https://github.com/jquery/jquery/pull/764
+					return elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable, null );
+		};
+	});
+});
+
+
+// The number of elements contained in the matched element set
+jQuery.fn.size = function() {
+	return this.length;
+};
+
+jQuery.fn.andSelf = jQuery.fn.addBack;
+
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	});
+}
+
+
+
+
+var
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === strundefined ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+
+}));
diff --git a/python/gui/static/js/odr-modulator.js b/python/gui/static/js/odr-modulator.js
new file mode 100644
index 0000000..8538645
--- /dev/null
+++ b/python/gui/static/js/odr-modulator.js
@@ -0,0 +1,80 @@
+//   Copyright (C) 2018
+//   Matthias P. Braendli, matthias.braendli@mpb.li
+//
+//    http://www.opendigitalradio.org
+//
+//   This file is part of ODR-DabMod.
+//
+//   ODR-DabMod is free software: you can redistribute it and/or modify
+//   it under the terms of the GNU General Public License as
+//   published by the Free Software Foundation, either version 3 of the
+//   License, or (at your option) any later version.
+//
+//   ODR-DabMod is distributed in the hope that it will be useful,
+//   but WITHOUT ANY WARRANTY; without even the implied warranty of
+//   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+//   GNU General Public License for more details.
+//
+//   You should have received a copy of the GNU General Public License
+//   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+
+function requestAllParams(callback) {
+    getRc(function(data) {
+        $('#windowlength').val(data.guardinterval.windowlen.value);
+        $('#digitalgain').val(data.gain.digital.value);
+        $('#cfrenable').prop("checked", data.ofdm.cfr.value == 1);
+        $('#cfrclip').val(data.ofdm.clip.value);
+        $('#cfrerrorclip').val(data.ofdm.errorclip.value);
+        $('#cfrstats').val(data.ofdm.clip_stats.value);
+        $('#paprstats').val(data.ofdm.papr.value);
+    });
+}
+
+function requestStats(callback) {
+    getRc(function(data) {
+        $('#cfrstats').val(data.ofdm.clip_stats.value);
+        $('#paprstats').val(data.ofdm.papr.value);
+    });
+}
+
+var updateTimer = setInterval(requestStats, 2000);
+
+$(function(){
+    requestAllParams();
+
+    $('#setdigitalgain').click(function() {
+        setRc("gain", "digital", $('#digitalgain').val(),
+            requestAllParams);
+    });
+
+    $('#setwindowlength').click(function() {
+        setRc("guardinterval", "windowlen", $('#windowlength').val(),
+            requestAllParams);
+    });
+
+    $('#setclip').click(function() {
+        setRc("ofdm", "clip", $('#cfrclip').val(),
+            requestAllParams);
+        setRc("ofdm", "errorclip", $('#cfrerrorclip').val(),
+            requestAllParams);
+        setRc("ofdm", "cfr",
+            ($('#cfrenable').prop("checked") ? "1" : "0"),
+            requestAllParams);
+    });
+
+    $('#refresh').click(function() {
+        requestAllParams();
+        $.gritter.add({
+                    title: 'Services status refresh',
+                    image: '/fonts/accept.png',
+                    text: 'Ok',
+                });
+    });
+});
+
+
+// ToolTip init
+$(function(){
+    $('[data-toggle="tooltip"]').tooltip();
+});
diff --git a/python/gui/static/js/odr-predistortion.js b/python/gui/static/js/odr-predistortion.js
new file mode 100644
index 0000000..7a93b2b
--- /dev/null
+++ b/python/gui/static/js/odr-predistortion.js
@@ -0,0 +1,99 @@
+//   Copyright (C) 2018
+//   Matthias P. Braendli, matthias.braendli@mpb.li
+//
+//    http://www.opendigitalradio.org
+//
+//   This file is part of ODR-DabMod.
+//
+//   ODR-DabMod is free software: you can redistribute it and/or modify
+//   it under the terms of the GNU General Public License as
+//   published by the Free Software Foundation, either version 3 of the
+//   License, or (at your option) any later version.
+//
+//   ODR-DabMod is distributed in the hope that it will be useful,
+//   but WITHOUT ANY WARRANTY; without even the implied warranty of
+//   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+//   GNU General Public License for more details.
+//
+//   You should have received a copy of the GNU General Public License
+//   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+function calibraterefresh() {
+    doApiRequestGET("/api/calibrate", function(data) {
+        var text = "Captured TX signal and feedback." +
+            " TX median: " + data['tx_median'] +
+            " RX median: " + data['rx_median'] +
+            " with relative timestamp offset " +
+            (data['tx_ts'] - data['rx_ts']) +
+            " and measured offset " + data['coarse_offset'] +
+            ". Correlation: " + data['correlation'];
+        $('#calibrationresults').text(text);
+    });
+}
+
+$(function(){
+    $('#calibraterefreshbtn').click(calibraterefresh);
+    $('#refreshframesbtn').click(function() {
+        var d = new Date();
+        var n = d.getTime();
+        $('#txframeimg').src = "dpd/txframe.png?cachebreak=" + n;
+        $('#rxframeimg').src = "dpd/rxframe.png?cachebreak=" + n;
+    });
+
+    $('#calibratebtn').click(function() {
+        doApiRequestPOST("/api/calibrate", {}, function(data) {
+            console.log("calibrate succeeded: " + JSON.stringify(data));
+
+            $('#calibrationresults').text("Processing...");
+
+            setTimeout(function() {
+                calibraterefresh();
+            }, 3000);
+        });
+    });
+
+    $('#capturebutton').click(function() {
+        doApiRequestPOST("/api/trigger_capture", {}, function(data) {
+            console.log("trigger_capture succeeded: " + JSON.stringify(data));
+        });
+    });
+
+    $('#dpdstatusbutton').click(function() {
+        doApiRequestGET("/api/dpd_status", function(data) {
+            console.log("dpd_status succeeded: " + JSON.stringify(data));
+            $('#histogram').text(data.histogram);
+            $('#capturestatus').text(data.capture.status);
+            $('#capturelength').text(data.capture.length);
+            $('#tx_median').text(data.capture.tx_median);
+            $('#rx_median').text(data.capture.rx_median);
+        });
+
+    $.ajax({
+        type: "GET",
+        url: "/api/dpd_capture_pointcloud",
+
+        error: function(data) {
+            if (data.status == 500) {
+                var errorWindow = window.open("", "_self");
+                errorWindow.document.write(data.responseText);
+            }
+            else {
+                $.gritter.add({ title: 'API',
+                    text: "AJAX failed: " + data.statusText,
+                    image: '/fonts/warning.png',
+                    sticky: true,
+                });
+            }
+        },
+        success: function(data) {
+            $('#dpd_pointcloud').value(data)
+        }
+    })
+    });
+});
+
+
+// ToolTip init
+$(function(){
+    $('[data-toggle="tooltip"]').tooltip();
+});
diff --git a/python/gui/static/js/odr-rcvalues.js b/python/gui/static/js/odr-rcvalues.js
new file mode 100644
index 0000000..f49674c
--- /dev/null
+++ b/python/gui/static/js/odr-rcvalues.js
@@ -0,0 +1,82 @@
+//   Copyright (C) 2018
+//   Matthias P. Braendli, matthias.braendli@mpb.li
+//
+//    http://www.opendigitalradio.org
+//
+//   This file is part of ODR-DabMod.
+//
+//   ODR-DabMod is free software: you can redistribute it and/or modify
+//   it under the terms of the GNU General Public License as
+//   published by the Free Software Foundation, either version 3 of the
+//   License, or (at your option) any later version.
+//
+//   ODR-DabMod is distributed in the hope that it will be useful,
+//   but WITHOUT ANY WARRANTY; without even the implied warranty of
+//   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+//   GNU General Public License for more details.
+//
+//   You should have received a copy of the GNU General Public License
+//   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+function buttonSetRc(key, controllable, param) {
+    var value = $("#" + key).val();
+
+    setRc(controllable, param, value, function(data) {
+        requestStatus();
+    });
+}
+
+function requestStatus() {
+    $('#rctable > tbody').empty();
+
+    doApiRequestGET("/api/rc_parameters", function(data) {
+        console.log(data);
+        let keys = Object.keys(data);
+        keys.sort();
+
+        var key1;
+        for (key1 in keys) {
+            let keys2 = Object.keys(data[keys[key1]]);
+            keys2.sort();
+
+            var key2;
+            for (key2 in keys2) {
+                var param = data[keys[key1]][keys2[key2]];
+                var key = keys[key1] + "_" + keys2[key2];
+                var valueentry = '<input type="text" id="input'+key+'" ' +
+                    'value="' + param['value'] + '">' +
+                    '<button type="button" class="btn btn-xs btn-warning"' +
+                    'id="button'+key+'" >upd</button>';
+
+                $('#rctable > tbody:last').append(
+                    '<tr><td>'+key+'</td>'+
+                    '<td>'+valueentry+'</td>'+
+                    '<td>'+param['help']+'</td></tr>');
+
+                $('#button'+key).click(function() {
+                    buttonSetRc("input"+key, key1, key2);
+                });
+            }
+        }
+    });
+}
+
+
+$(function(){
+    requestStatus();
+
+    $('#refresh').click(function() {
+        requestStatus();
+        $.gritter.add({
+                    title: 'Services status refresh',
+                    image: '/fonts/accept.png',
+                    text: 'Ok',
+                });
+    });
+});
+
+
+// ToolTip init
+$(function(){
+    $('[data-toggle="tooltip"]').tooltip();
+});
diff --git a/python/gui/static/js/odr.js b/python/gui/static/js/odr.js
new file mode 100644
index 0000000..ecb02c5
--- /dev/null
+++ b/python/gui/static/js/odr.js
@@ -0,0 +1,109 @@
+//   Copyright (C) 2018
+//   Matthias P. Braendli, matthias.braendli@mpb.li
+//
+//    http://www.opendigitalradio.org
+//
+//   This file is part of ODR-DabMod.
+//
+//   ODR-DabMod is free software: you can redistribute it and/or modify
+//   it under the terms of the GNU General Public License as
+//   published by the Free Software Foundation, either version 3 of the
+//   License, or (at your option) any later version.
+//
+//   ODR-DabMod is distributed in the hope that it will be useful,
+//   but WITHOUT ANY WARRANTY; without even the implied warranty of
+//   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+//   GNU General Public License for more details.
+//
+//   You should have received a copy of the GNU General Public License
+//   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+
+
+function doApiRequestGET(uri, callback) {
+    $.ajax({
+        type: "GET",
+        url: uri,
+        contentType: 'application/json',
+        dataType: 'json',
+
+        error: function(data) {
+            if (data.status == 500) {
+                var errorWindow = window.open("", "_self");
+                errorWindow.document.write(data.responseText);
+            }
+            else {
+                $.gritter.add({ title: 'API',
+                    text: "AJAX failed: " + data.statusText,
+                    image: '/fonts/warning.png',
+                    sticky: true,
+                });
+            }
+        },
+        success: function(data) {
+            if (data.status == 'ok') {
+                callback(data.data);
+            }
+            else {
+                $.gritter.add({
+                    title: 'API',
+                    text: "API ERROR: " + data.reason,
+                    image: '/fonts/warning.png',
+                    sticky: true,
+                });
+            }
+        }
+    });
+}
+
+function doApiRequestPOST(uri, data, callback) {
+    $.ajax({
+        type: "POST",
+        url: uri,
+        contentType: 'application/json',
+        dataType: 'json',
+        data: JSON.stringify(data),
+
+        error: function(data) {
+            if (data.status == 500) {
+                var errorWindow = window.open("", "_self");
+                errorWindow.document.write(data.responseText);
+            }
+            else {
+                $.gritter.add({
+                    title: 'API',
+                    text: "AJAX failed: " + data.statusText,
+                    image: '/fonts/warning.png',
+                    sticky: true,
+                });
+            }
+        },
+
+        success: function(data_in) {
+            if (data_in.status == 'ok') {
+                callback(data_in.data);
+            }
+            else {
+                $.gritter.add({
+                    title: 'API',
+                    text: "API ERROR: " + data_in.reason,
+                    image: '/fonts/warning.png',
+                    sticky: true,
+                });
+            }
+        }
+    });
+}
+
+function setRc(controllable, param, value, callback) {
+    var data = {
+        controllable: controllable,
+        param: param,
+        value: value
+    };
+    doApiRequestPOST("/api/parameter/", data, callback);
+}
+
+function getRc(callback) {
+    doApiRequestGET("/api/rc_parameters", callback);
+}
+
diff --git a/python/gui/templates/about.html b/python/gui/templates/about.html
new file mode 100644
index 0000000..3a05230
--- /dev/null
+++ b/python/gui/templates/about.html
@@ -0,0 +1,65 @@
+<!--
+   Copyright (C) 2018
+   Matthias P. Braendli, matthias.braendli@mpb.li
+
+This file is part of ODR-DabMod.
+
+ODR-DabMod is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+ODR-DabMod is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+-->
+
+
+<!DOCTYPE html>
+<html lang="en">
+
+{% include 'head.html' %}
+
+<body>
+    {% include 'body-nav.html' %}
+
+    <div class="container-fluid">
+        <div class="jumbotron">
+            <h2>About</h2>
+            <p>ODR-DabMod by <a href="http://opendigitalradio.org">Opendigitalradio</a></p>
+            <h2>Authors</h2>
+            <ul>
+                <li>Pascal Charest</li>
+                <li>Matthias P. Braendli</li>
+                <li>Jörgen Scott</li>
+                <li>Sergiy</li>
+                <li>Andreas Steger</li>
+            </ul>
+            <p>Web interface by Matthias P. Braendli and Yoann Queret.</p>
+            <p>Please see TODOs in the README.md</p>
+        </div>
+        <div class="container">
+            <h2>Contributions</h2>
+            <p>Please get in touch with the developers of this web interface
+            through the crc-mmbTools google group or through
+            <a href="https://github.com/Opendigitalradio/ODR-DabMod">the GitHub repository</a>.
+            </p>
+            <hr />
+            <h2>Licence</h2>
+            <p>
+            ODR-DabMod is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.<br />
+            <br />
+            ODR-DabMod is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.<br />
+            <br />
+            You should have received a copy of the GNU General Public License along with ODR-DabMod.  If not, see http://www.gnu.org/licenses/<br />
+            </p>
+        </div>
+    </div>
+</body>
+
+</html>
+
diff --git a/python/gui/templates/body-nav.html b/python/gui/templates/body-nav.html
new file mode 100644
index 0000000..f403619
--- /dev/null
+++ b/python/gui/templates/body-nav.html
@@ -0,0 +1,39 @@
+        <div class="container-fluid">
+        <nav class="navbar navbar-inverse">
+                <div class="container-fluid">
+                        <div class="navbar-header">
+                                <a class="navbar-brand" href="/">ODR-DabMod UI</a>
+                        </div>
+                        <div>
+                        <ul class="nav navbar-nav">
+                                <li{% if tab == 'home' %} class="active"{% endif %}><a href="/">Home</a></li>
+                                <li{% if tab == 'rcvalues' %} class="active"{% endif %}><a href="/rcvalues">RC values</a></li>
+                                <li{% if tab == 'modulator' %} class="active"{% endif %}><a href="/modulator">Modulator</a></li>
+                                <li{% if tab == 'predistortion' %} class="active"{% endif %}><a href="/predistortion">Predistortion</a></li>
+                                <li class="dropdown{% if tab == 'help' or tab == 'about' %} active"{% endif %}">
+                                        <a class="dropdown-toggle" data-toggle="dropdown" href="#">Help
+                                        <span class="caret"></span></a>
+                                        <ul class="dropdown-menu">
+                                                <li class="dropdown-header">Open Digital Radio</li>
+                                                <li><a href="http://www.opendigitalradio.org/">Website</a></li>
+                                                <li><a href="http://wiki.opendigitalradio.org/">Documentation</a></li>
+                                                <li><a href="https://github.com/Opendigitalradio/">GitHub</a></li>
+                                                <li class="divider"></li>
+                                                <li class="dropdown-header">ODR-DabMod</li>
+                                                <li><a href="/about">About</a></li>
+                                        </ul>
+                                </li>
+                        </ul>
+                        <ul class="nav navbar-nav navbar-right">
+                            <!--
+                                {% if is_login is sameas true %}
+                                        <li><a href="/auth/logout"><span class="glyphicon glyphicon-log-in"></span> Logout</a></li>
+                                {% else %}
+                                        <li><a href="/auth/login"><span class="glyphicon glyphicon-log-in"></span> Login</a></li>
+                                {% endif %}
+                            -->
+                        </ul>
+                        </div>
+                </div>
+        </nav>
+        </div>
diff --git a/python/gui/templates/head.html b/python/gui/templates/head.html
new file mode 100644
index 0000000..cdf1654
--- /dev/null
+++ b/python/gui/templates/head.html
@@ -0,0 +1,25 @@
+<head>
+    <meta charset="utf-8">
+    <meta http-equiv="X-UA-Compatible" content="IE=edge">
+    <meta name="viewport" content="width=device-width, initial-scale=1">
+    <title>ODR-DabMod</title>
+
+    <!-- jquery -->
+    <script type="text/javascript" src="/js/jquery.js"></script>
+
+    <!-- Bootstrap -->
+    <link href="/css/bootstrap.min.css" rel="stylesheet">
+    <script type="text/javascript" src="/js/bootstrap.min.js"></script>
+
+    <!-- ODR -->
+    {% for jsurl in js %}
+    <script type="text/javascript" src="{{ jsurl }}"></script>
+    {% endfor %}
+    {% for cssurl in css %}
+    <link href="{{ cssurl }}" rel="stylesheet">
+    {% endfor %}
+
+    <!-- gritter -->
+    <link rel="stylesheet" type="text/css" href="/css/jquery.gritter.css" />
+    <script type="text/javascript" src="/js/jquery.gritter.js"></script>
+</head>
diff --git a/python/gui/templates/home.html b/python/gui/templates/home.html
new file mode 100644
index 0000000..5cb29f8
--- /dev/null
+++ b/python/gui/templates/home.html
@@ -0,0 +1,35 @@
+<!--
+   Copyright (C) 2018
+   Matthias P. Braendli, matthias.braendli@mpb.li
+
+This file is part of ODR-DabMod.
+
+ODR-DabMod is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+ODR-DabMod is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+-->
+
+<!DOCTYPE html>
+<html lang="en">
+
+{% include 'head.html' %}
+
+<body>
+	{% include 'body-nav.html' %}
+
+	<div class="container-fluid">
+		<div class="jumbotron">
+            <h1>Opendigitalradio</h1><h2>ODR-DabMod Interface</h2>
+		</div>
+	</div>
+</body>
+</html>
diff --git a/python/gui/templates/modulator.html b/python/gui/templates/modulator.html
new file mode 100644
index 0000000..6deffb1
--- /dev/null
+++ b/python/gui/templates/modulator.html
@@ -0,0 +1,73 @@
+<!--
+   Copyright (C) 2018
+   Matthias P. Braendli, matthias.braendli@mpb.li
+
+This file is part of ODR-DabMod.
+
+ODR-DabMod is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+ODR-DabMod is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+-->
+
+<!DOCTYPE html>
+<html lang="en">
+
+{% include 'head.html' %}
+
+<body>
+  {% include 'body-nav.html' %}
+
+  <div class="container-fluid">
+    <div class="panel-group">
+      <div class="panel panel-default">
+        <div class="panel-body">
+          <h3>Gain</h3>
+          <div class="form-group">
+            <label for="digitalgain">Digital Gain:</label>
+            <input type="text" class="form-control" id="digitalgain">
+            <button type="button" class="btn btn-sm btn-info" id="setdigitalgain">Set</button>
+          </div>
+        </div>
+        <div class="panel-body">
+          <h3>OFDM Windowing</h3>
+          <div class="form-group">
+            <label for="windowlength">Window length:</label>
+            <input type="text" class="form-control" id="windowlength">
+            <button type="button" class="btn btn-sm btn-info" id="setwindowlength">Set</button>
+          </div>
+        </div>
+        <div class="panel-body">
+          <h3>CFR</h3>
+          <div class="form-group">
+            <div class="checkbox">
+              <label><input type="checkbox" value="1" id="cfrenable">Enable</label>
+            </div>
+
+            <label for="cfrclip">clip:</label>
+            <input type="text" class="form-control" id="cfrclip">
+
+            <label for="errorclip">error clip:</label>
+            <input type="text" class="form-control" id="cfrerrorclip">
+            <input type="text" readonly class="form-control" id="cfrstats">
+            <input type="text" readonly class="form-control" id="paprstats">
+            <button type="button" class="btn btn-sm btn-info" id="setclip">
+              Set
+            </button>
+          </div>
+        </div>
+      </div>
+
+    </div>
+    <button type="button" class="btn btn-sm btn-info" id="refresh">Refresh</button>
+  </div>
+</body>
+</html>
diff --git a/python/gui/templates/predistortion.html b/python/gui/templates/predistortion.html
new file mode 100644
index 0000000..2ebf7ea
--- /dev/null
+++ b/python/gui/templates/predistortion.html
@@ -0,0 +1,88 @@
+<!--
+   Copyright (C) 2018
+   Matthias P. Braendli, matthias.braendli@mpb.li
+
+This file is part of ODR-DabMod.
+
+ODR-DabMod is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+ODR-DabMod is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+-->
+
+<!DOCTYPE html>
+<html lang="en">
+
+{% include 'head.html' %}
+
+<body>
+  {% include 'body-nav.html' %}
+
+  <div class="container-fluid">
+    <div class="panel-group">
+      <div class="panel panel-default">
+        <div class="panel-heading">Calibration</div>
+        <div class="panel-body">
+          <div>Calibration needs to be done once before the PA model
+          can be trained. Every time calibration is changed, the predistortion
+          parameters are invalidated!</div>
+          <button type="button" class="btn btn-sm btn-info" id="calibratebtn">
+            Calibrate</button>
+          <button type="button" class="btn btn-sm btn-info" id="calibraterefreshbtn">
+            Refresh results</button>
+          <div>Calibration results:<span id="calibrationresults">N/A<span></div>
+        </div>
+      </div>
+      <div class="panel panel-default">
+        <div class="panel-heading">Capture TX and RX frames</div>
+        <div class="panel-body">
+          <div>
+            <img id="txframeimg" src="dpd/txframe.png" width="320" height="240" />
+            <img id="rxframeimg" src="dpd/rxframe.png" width="320" height="240" />
+          </div>
+          <div>
+            <button type="button" class="btn btn-sm btn-info" id="refreshframesbtn">
+              Refresh</button>
+          </div>
+        </div>
+      </div>
+
+      <!--
+      <div class="panel panel-default">
+        <div class="panel-heading">Capture</div>
+        <div class="panel-body">
+          <div>On pressing this button,
+            the DPDCE will trigger a capture and a quick data
+            analysis, without updating any DPD models.</div>
+          <button type="button" class="btn btn-sm btn-info" id="capturebutton">
+            Capture</button>
+        </div>
+      </div>
+      <div class="panel panel-default">
+        <div class="panel-heading">Status</div>
+        <div class="panel-body">
+          <button type="button" class="btn btn-sm btn-info" id="dpdstatusbutton">
+            Update</button>
+          <div>Histogram: <span id="histogram">N/A</span></div>
+          <div>Capture status
+            <span id="capturestatus">N/A</span></div>
+          <div>Number of samples captured:
+            <span id="capturelength">None</span></div>
+          <div>TX median: <span id="tx_median">N/A</span></div>
+          <div>RX median: <span id="rx_median">N/A</span></div>
+          <div>Point cloud: <img id="dpd_pointcloud" /></div>
+        </div>
+      </div>
+      -->
+    </div>
+  </div>
+</body>
+</html>
diff --git a/python/gui/templates/rcvalues.html b/python/gui/templates/rcvalues.html
new file mode 100644
index 0000000..c1786bc
--- /dev/null
+++ b/python/gui/templates/rcvalues.html
@@ -0,0 +1,48 @@
+<!--
+   Copyright (C) 2018
+   Matthias P. Braendli, matthias.braendli@mpb.li
+
+This file is part of ODR-DabMod.
+
+ODR-DabMod is free software: you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation, either version 3 of the License, or
+(at your option) any later version.
+
+ODR-DabMod is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+-->
+
+<!DOCTYPE html>
+<html lang="en">
+
+{% include 'head.html' %}
+
+<body>
+    {% include 'body-nav.html' %}
+
+    <div class="container-fluid">
+        <div class="container">
+            <h1>RC Values</h1>
+            <table id="rctable" class="table">
+                <thead>
+                    <tr>
+                        <th scope="col">RC entry</th>
+                        <th scope="col">Value</th>
+                        <th scope="col">Help</th>
+                    </tr>
+                </thead>
+                <tbody>
+                </tbody>
+            </table>
+        </div>
+
+        <button type="button" class="btn btn-sm btn-info" id="refresh">Refresh</button>
+    </div>
+</body>
+</html>
diff --git a/python/gui/ui-config.json b/python/gui/ui-config.json
new file mode 100644
index 0000000..070290c
--- /dev/null
+++ b/python/gui/ui-config.json
@@ -0,0 +1,9 @@
+{
+    "global": {
+        "daemon": false,
+        "host": "127.0.0.1",
+        "port": "8099",
+        "logs_directory": "logs",
+        "static_directory": "static"
+    }
+}
diff --git a/python/gui/zmqrc.py b/python/gui/zmqrc.py
new file mode 100644
index 0000000..3897d7a
--- /dev/null
+++ b/python/gui/zmqrc.py
@@ -0,0 +1,84 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+#   Copyright (C) 2018
+#   Matthias P. Braendli, matthias.braendli@mpb.li
+#
+#    http://www.opendigitalradio.org
+#
+#   This file is part of ODR-DabMod.
+#
+#   ODR-DabMod is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU General Public License as
+#   published by the Free Software Foundation, either version 3 of the
+#   License, or (at your option) any later version.
+#
+#   ODR-DabMod is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with ODR-DabMod.  If not, see <http://www.gnu.org/licenses/>.
+import zmq
+import json
+
+class ModRemoteControl(object):
+    """Interact with ODR-DabMod using the ZMQ RC"""
+    def __init__(self, mod_host, mod_port=9400):
+        self._host = mod_host
+        self._port = mod_port
+        self._ctx = zmq.Context()
+
+    def _read(self, message_parts):
+        sock = zmq.Socket(self._ctx, zmq.REQ)
+        sock.setsockopt(zmq.LINGER, 0)
+        sock.connect("tcp://{}:{}".format(self._host, self._port))
+
+        for i, part in enumerate(message_parts):
+            if i == len(message_parts) - 1:
+                f = 0
+            else:
+                f = zmq.SNDMORE
+            sock.send(part.encode(), flags=f)
+
+        # use poll for timeouts:
+        poller = zmq.Poller()
+        poller.register(sock, zmq.POLLIN)
+        if poller.poll(5*1000): # 5s timeout in milliseconds
+            recv = sock.recv_multipart()
+            sock.close()
+            return [r.decode() for r in recv]
+        else:
+            raise IOError("Timeout processing ZMQ request")
+
+    def get_modules(self):
+        modules = {}
+
+        for mod in [json.loads(j) for j in self._read(['list'])]:
+            params = {}
+            pv_list = self._read(['show', mod['name']])
+
+            for pv in pv_list:
+                p, _, v = pv.partition(": ")
+                params[p] = {"value": v.strip()}
+
+            for p in mod['params']:
+                if p in params:
+                    params[p]["help"] = mod['params'][p]
+            modules[mod['name']] = params
+
+        return modules
+
+    def get_param_value(self, module, param):
+        value = self._read(['get', module, param])
+        if value[0] == 'fail':
+            raise ValueError("Error getting param: {}".format(value[1]))
+        else:
+            return value[0]
+
+    def set_param_value(self, module, param, value):
+        ret = self._read(['set', module, param, value])
+        if ret[0] == 'fail':
+            raise ValueError("Error setting param: {}".format(ret[1]))
+