| import logging | |
| import multiprocessing | |
| import time | |
| import mplog | |
| FORMAT = '%(asctime)s - %(processName)s - %(levelname)s - %(message)s' | |
| logging.basicConfig(level=logging.DEBUG, format=FORMAT) | |
| existing_logger = logging.getLogger('x') |
| import matplotlib.pyplot as plt | |
| def draw_neural_net(ax, left, right, bottom, top, layer_sizes): | |
| ''' | |
| Draw a neural network cartoon using matplotilb. | |
| :usage: | |
| >>> fig = plt.figure(figsize=(12, 12)) | |
| >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2]) | |
| from multiprocessing import Pool | |
| from functools import partial | |
| def _pickle_method(method): | |
| func_name = method.im_func.__name__ | |
| obj = method.im_self | |
| cls = method.im_class | |
| if func_name.startswith('__') and not func_name.endswith('__'): #deal with mangled names | |
| cls_name = cls.__name__.lstrip('_') | |
| func_name = '_' + cls_name + func_name |
| size = 83456 | |
| file = open("s:/test.bin", "w+b") | |
| file.write("\0" * size) | |
| file.flush() | |
| mm = mmap.mmap(file.fileno(), size, access=mmap.ACCESS_WRITE) | |
| mm.write('12345') | |
| mm.tell() | |
| mm.seek(0) | |
| file.flush() |
Make sure the switch under U58 is 00010, the last one is M0
Convert .bit file into .mcs file
cd [your impl_ directory]
write_cfgmem -format mcs -interface bpix16 -size 128 -loadbit "up 0x0 *.bit" -file *.mcs -force
| -- This is a generic FIR filter generator | |
| -- It uses W1 bit data/coefficients bits | |
| LIBRARY ieee; -- Using predefined packages | |
| USE ieee.std_logic_1164.ALL; | |
| USE ieee.std_logic_arith.ALL; | |
| USE ieee.std_logic_signed.ALL; | |
| -- -------------------------------------------------------- | |
| ENTITY fir_gen IS ------> Interface | |
| GENERIC (W1 : INTEGER := 9; -- Input bit width | |
| W2 : INTEGER := 18;-- Multiplier bit width 2*W1 |
| from IPython.html import widgets | |
| from IPython.display import display | |
| ####### decoration for jupyter button function ######################## | |
| def btn_func(description='deco', color='lightlime'): | |
| def btn_deco(func): | |
| # description='deco' | |
| # color='#495ba3' | |
| btn = info_btn(description = description, color=color) | |
| btn.on_click(func) |
| import Tkinter,tkFileDialog | |
| btn = widgets.Button(description="Click me!") | |
| display(btn) | |
| btn.button_style = 'Info' | |
| btn.description = 'Open *.Bin' | |
| btn.width =100 | |
| btn.height = 100 | |
| btn.border_radius = 15 |
| from bokeh.plotting import * | |
| output_notebook() | |
| p = figure(plot_width=900, plot_height=300) | |
| p.multi_line(xs=[t[:100000]],ys=[plot_data[:100000,0]]) | |
| show(p) |
| id_list = sorted(id_list, key=lambda _id: (_id[0],_id[1:])) |