/usr/lib/python2.7/dist-packages/gnuradio/qtgui/plot_base.py is in gnuradio 3.7.11-10.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 | #!/usr/bin/env python
#
# Copyright 2013,2018 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 gnuradio import gr, blocks
from gnuradio.eng_option import eng_option
from optparse import OptionParser
import os, sys
os.environ['GR_CONF_CONTROLPORT_ON'] = 'False'
try:
from gnuradio import qtgui
from PyQt5 import QtWidgets, Qt
import sip
except ImportError:
sys.stderr.write("Error: Program requires PyQt5 and gr-qtgui.\n")
sys.exit(1)
try:
import scipy
except ImportError:
sys.stderr.write("Error: Scipy required (www.scipy.org).\n")
sys.exit(1)
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 = scipy.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,
scipy.float32, gr.sizeof_float)
def read_samples_i(filename, start, in_size, min_size=0):
return read_samples(filename, start, in_size, min_size,
scipy.int32, gr.sizeof_int)
def read_samples_s(filename, start, in_size, min_size=0):
return read_samples(filename, start, in_size, min_size,
scipy.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,
scipy.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 = scipy.array(d, dtype=scipy.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 = scipy.fromfile(fhandle, dtype=scipy.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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