From 03e3a368eb28043cda924397874e572fc8af9c38 Mon Sep 17 00:00:00 2001
From: Martin Braun <martin.braun@ettus.com>
Date: Tue, 13 Nov 2018 16:57:22 -0800
Subject: qtgui: Remove the command line plot tools

Note: In gr-utils, we have a version of these tools that don't have Qt4
dependencies (note: they have matplotlib dependencies, though).

None of these tools work with Qt5.
---
 gr-qtgui/apps/plot_base.py | 164 ---------------------------------------------
 1 file changed, 164 deletions(-)
 delete mode 100644 gr-qtgui/apps/plot_base.py

(limited to 'gr-qtgui/apps/plot_base.py')

diff --git a/gr-qtgui/apps/plot_base.py b/gr-qtgui/apps/plot_base.py
deleted file mode 100644
index 46f85ab8f5..0000000000
--- a/gr-qtgui/apps/plot_base.py
+++ /dev/null
@@ -1,164 +0,0 @@
-#!/usr/bin/env python
-#
-# Copyright 2013 Free Software Foundation, Inc.
-#
-# This file is part of GNU Radio
-#
-# GNU Radio 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, or (at your option)
-# any later version.
-#
-# GNU Radio 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 GNU Radio; see the file COPYING.  If not, write to
-# the Free Software Foundation, Inc., 51 Franklin Street,
-# Boston, MA 02110-1301, USA.
-#
-
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-
-from gnuradio import gr, blocks
-import os, sys
-
-os.environ['GR_CONF_CONTROLPORT_ON'] = 'False'
-
-try:
-    from gnuradio import qtgui
-    from PyQt4 import QtGui, QtCore
-    import sip
-except ImportError:
-    print("Error: Program requires PyQt4 and gr-qtgui.")
-    sys.exit(1)
-
-import numpy
-
-try:
-    from gnuradio.qtgui.plot_constellation_form import *
-    from gnuradio.qtgui.plot_psd_form import *
-    from gnuradio.qtgui.plot_spectrogram_form import *
-    from gnuradio.qtgui.plot_time_form import *
-    from gnuradio.qtgui.plot_time_raster_form import *
-except ImportError:
-    from plot_constellation_form import *
-    from plot_psd_form import *
-    from plot_spectrogram_form import *
-    from plot_time_form import *
-    from plot_time_raster_form import *
-
-def read_samples(filename, start, in_size, min_size, dtype, dtype_size):
-    # Read in_size number of samples from file
-    fhandle = open(filename, 'r')
-    fhandle.seek(start*dtype_size, 0)
-    data = numpy.fromfile(fhandle, dtype=dtype, count=in_size)
-    data_min = 1.1*data.min()
-    data_max = 1.1*data.max()
-    data = data.tolist()
-    fhandle.close()
-
-    if(min_size > 0):
-        if(len(data) < in_size):
-            print("Warning: read in {0} samples but asked for {1} samples.".format(
-                len(data), in_size))
-    else:
-        # If we have to, append 0's to create min_size samples of data
-        if(len(data) < min_size):
-            data += (min_size - len(data)) * [dtype(0)]
-
-
-    return data, data_min, data_max
-
-def read_samples_f(filename, start, in_size, min_size=0):
-    return read_samples(filename, start, in_size, min_size,
-                        numpy.float32, gr.sizeof_float)
-
-def read_samples_i(filename, start, in_size, min_size=0):
-    return read_samples(filename, start, in_size, min_size,
-                        numpy.int32, gr.sizeof_int)
-
-def read_samples_s(filename, start, in_size, min_size=0):
-    return read_samples(filename, start, in_size, min_size,
-                        numpy.int16, gr.sizeof_short)
-
-def read_samples_b(filename, start, in_size, min_size=0):
-    d,mn,mx = read_samples(filename, start, in_size, min_size,
-                           numpy.int8, gr.sizeof_char)
-
-    # Bit of a hack since we want to read the data as signed ints, but
-    # the blocks.vector_source_b will only accept unsigned. We read in as
-    # signed, do our min/max and things on that, then convert here.
-    d = numpy.array(d, dtype=numpy.uint8).tolist()
-    return d,mn,mx
-
-def read_samples_c(filename, start, in_size, min_size=0):
-    # Complex samples are handled differently
-    fhandle = open(filename, 'r')
-    fhandle.seek(start*gr.sizeof_gr_complex, 0)
-    data = numpy.fromfile(fhandle, dtype=numpy.complex64, count=in_size)
-    data_min = 1.1*float(min(data.real.min(), data.imag.min()))
-    data_max = 1.1*float(max(data.real.max(), data.imag.max()))
-    data = data.tolist()
-    fhandle.close()
-
-    if(min_size > 0):
-        if(len(data) < in_size):
-            print("Warning: read in {0} samples but asked for {1} samples.".format(
-                len(data), in_size))
-    else:
-        # If we have to, append 0's to create min_size samples of data
-        if(len(data) < min_size):
-            data += (min_size - len(data)) * [complex(0,0)]
-
-    return data, data_min, data_max
-
-class source_ints_to_float(gr.hier_block2):
-    def __init__(self, data):
-        gr.hier_block2.__init__(self, "ints_to_floats",
-                                gr.io_signature(0, 0, 0),
-                                gr.io_signature(1, 1, gr.sizeof_float))
-        self.src = blocks.vector_source_i(data)
-        self.cvt = blocks.int_to_float()
-        self.connect(self.src, self.cvt, self)
-
-    def set_data(self, data):
-        self.src.set_data(data)
-
-class source_shorts_to_float(gr.hier_block2):
-    def __init__(self, data):
-        gr.hier_block2.__init__(self, "shorts_to_floats",
-                                gr.io_signature(0, 0, 0),
-                                gr.io_signature(1, 1, gr.sizeof_float))
-        self.src = blocks.vector_source_s(data)
-        self.cvt = blocks.short_to_float()
-        self.connect(self.src, self.cvt, self)
-
-    def set_data(self, data):
-        self.src.set_data(data)
-
-class source_chars_to_float(gr.hier_block2):
-    def __init__(self, data):
-        gr.hier_block2.__init__(self, "chars_to_floats",
-                                gr.io_signature(0, 0, 0),
-                                gr.io_signature(1, 1, gr.sizeof_float))
-        self.src = blocks.vector_source_b(data)
-        self.cvt = blocks.char_to_float()
-        self.connect(self.src, self.cvt, self)
-
-    def set_data(self, data):
-        self.src.set_data(data)
-
-def find_max_nsamples(filelist):
-    # Find the smallest number of samples in all files and use that as
-    # a maximum value possible.
-    filesizes = []
-    for f in filelist:
-        if(os.path.exists(f)):
-            filesizes.append(os.path.getsize(f) / gr.sizeof_gr_complex)
-    max_nsamples = min(filesizes)
-    return max_nsamples
-- 
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