from music21 import *
us = environment.UserSettings()
us["musicxmlPath"] = r"C:/Program Files/MuseScore 3/bin/MuseScore3.exe"
us["musescoreDirectPNGPath"] = r"C:/Program Files/MuseScore 3/bin/MuseScore3.exe"
.
.
.
xml_file_name = f'output_dance_{str(int(time.time()))}.musicxml'
xml_file_path = f'app/data/output_audio/{xml_file_name}'
midi_stream.write('musicxml', fp=xml_file_path)
When I make musicxml in music21, how can I encode musiccore instead of music21?
music21 did actually encode the output from scratch, so that's why it's listed in <software>, but if you wish to change it:
from music21 import *
beach_score = corpus.parse('beach')
beach_score.metadata.software = ['Musescore']
If .metadata doesn't return anything for your score, you may need to insert a metadata.Metadata object into the beginning of your score and manipulate that.
Related
It is puzzling to me that there is a tfdv.load_statistics() function, but no corresponding tfdv.write_statistics() function. How do I go about saving the statistics, and then loading them again?
e.g.
import tensorflow_data_validation as tfdv
stats = tfdv.generate_statistics_from_dataframe(df)
# how do I save?
# load back for later use
saved_stats = tfdv.load_statistics('saved_stats.stats')
I can save the string representation to a file, but this is not the format that load_statistics expects.
with open('saved_stats.stats', 'w') as o:
o.write(str(stats))
Pointers anyone?
have you tried this : tfdv.utils.stats_util.write_stats_text ?
In the current tfdv version 1.3.0 there are the following methods that can be used:
load_stats_text
write_stats_text
Example:
import tensorflow_data_validation as tfdv
stats = tfdv.generate_statistics_from_dataframe(df)
stats_path = "my-stats-file.stats"
# saving
tfdv.write_stats_text(stats, stats_path)
# loading
stats = tfdv.load_stats_text(stats_path)
Okay figure out this hacky way to do it.
df = ... # create pandas df
from tensorflow_metadata.proto.v0 import statistics_pb2
import tensorflow_data_validation as tfdv
stats = tfdv.generate_statistics_from_dataframe(df)
# save it
with open('saved_stats.stats', 'wb') as o:
o.write(stats.SerializeToString())
# load back for later use
with open('saved_stats.stats', 'rb') as i:
loaded_stats = statistics_pb2.FromString(i.read())
There's a function called tfdv.load_stats_binary that you can use to solve this problem.
In python I have a combined emoji like this: "👨" + "\u200D" + "🔧" which is normally represented as https://emojipedia.org/male-mechanic/. I want to get a PNG version to use as a plot point (in matplotlib, if that helps). Is there any official or unofficial place where I can convert unicode versions of emojis into PNG equivalents?
For anyone else looking for an answer, at the moment I'm using the PNGs from https://unicode.org/emoji/charts/full-emoji-list.html, with a hack that parses the web page, like this
class EmojiConverter:
def __init__(self):
import requests
import re
self.data = requests.get('https://unicode.org/emoji/charts/full-emoji-list.html').text
def to_base64_png(self, emoji, version=0):
"""For different versions, you can set version = 0 for , """
html_search_string = r"<img alt='{}' class='imga' src='data:image/png;base64,([^']+)'>" #'
matchlist = re.findall(html_search_string.format(emoji), self.data)
return matchlist[version]
e = EmojiConverter()
b64 = e.to_base64_png("👨"+"\u200D" + "🔧")
I am having a model which takes two input & multiplies them & give the output.
output_1 = input_1 * input_2
I have declared my simulink signals as CustomStorageClass= GetSet
input_1 = Simulink.Signal;
input_1.CoderInfo.StorageClass = 'Custom';
input_1.CoderInfo.CustomStorageClass = 'GetSet';
input_1.CoderInfo.CustomAttributes.GetFunction = 'Get_input_1';
input_1.CoderInfo.CustomAttributes.SetFunction = 'Set_input_1';
input_1.CoderInfo.CustomAttributes.HeaderFile = 'signals.h';
input_2 = Simulink.Signal;
input_2.CoderInfo.StorageClass = 'Custom';
input_2.CoderInfo.CustomStorageClass = 'GetSet';
input_2.CoderInfo.CustomAttributes.GetFunction = 'Get_input_2';
input_2.CoderInfo.CustomAttributes.SetFunction = 'Set_input_2';
input_2.CoderInfo.CustomAttributes.HeaderFile = 'signals.h';
output_1 = Simulink.Signal;
output_1.CoderInfo.StorageClass = 'Custom';
output_1.CoderInfo.CustomStorageClass = 'GetSet';
output_1.CoderInfo.CustomAttributes.GetFunction = 'Get_output_1';
output_1.CoderInfo.CustomAttributes.SetFunction = 'Set_output_1';
output_1.CoderInfo.CustomAttributes.HeaderFile = 'signals.h';
Now I am trying to convert my model to code using simulink coder.
In code generation setting of the model i have selected ert.tlc file in the system target file settings.
But the generated code does not have a Get_input_1() or Get_input_2() call like shown in this link.
http://www.mathworks.com/help/ecoder/ug/getset-custom-storage-classes.html
What i have missed in the setting. Please suggest
I know you probably already solved this issue, but I have also seen this behavior before.
Sometimes MATLAB does not update the header files correctly. If you had set a different configuration for your variable and then made a change involving the header files, I would recommend erasing the *_ert_rtw and slprj folders (they will appear again). It is similar to doing a "Make clean" operation, to ensure that everything is brand new.
I've read a little about sed and awk, and understand that both are text manipulators.
I plan to use one of these to edit groups of files (code in some programming language, js, python etc.) to make similar changes to large sets of files.
Primarily editing function definitions (parameters passed) and variable names for now, but the more I can do the better.
I'd like to know if someone's attempted something similar, and those who have, are there any obvious pitfalls that one should look out for? And which of sed and awk would be preferable/more suitable for such an application. (Or maybe something entirely else? )
Input
function(paramOne){
//Some code here
var variableOne = new ObjectType;
array[1] = "Some String";
instanceObj = new Something.something;
}
Output
function(ParamterOne){
//Some code here
var PartOfSomething.variableOne = new ObjectType;
sArray[1] = "Some String";
var instanceObj = new Something.something
}
Here's a GNU awk (for "gensub()" function) script that will transform your sample input file into your desired output file:
$ cat tst.awk
BEGIN{ sym = "[[:alnum:]_]+" }
{
$0 = gensub("^(" sym ")[(](" sym ")[)](.*)","\\1(ParameterOne)\\3","")
$0 = gensub("^(var )(" sym ")(.*)","\\1PartOfSomething.\\2\\3","")
$0 = gensub("^a(rray.*)","sA\\1","")
$0 = gensub("^(" sym " =.*)","var \\1","")
print
}
$ cat file
function(paramOne){
//Some code here
var variableOne = new ObjectType;
array[1] = "Some String";
instanceObj = new Something.something;
}
$ gawk -f tst.awk file
function(ParameterOne){
//Some code here
var PartOfSomething.variableOne = new ObjectType;
sArray[1] = "Some String";
var instanceObj = new Something.something;
}
BUT think about how your real input could vary from that - you could have more/less/different spacing between symbols. You could have assignments starting on one line and finishing on the next. You could have comments that contain similar-looking lines to the code that you don't want changed. You could have multiple statements on one line. etc., etc.
You can address every issue one at a time but it could take you a lot longer than just updating your files and chances are you still will not be able to get it completely right.
If your code is EXCEEDINGLY well structured and RIGOROUSLY follows a specific, highly restrictive coding format then you might be able to do what you want with a scripting language but your best bets are either:
change the files by hand if there's less than, say, 10,000 of them or
get a hold of a parser (e.g. the compiler) for the language your files are written in and modify that to spit out your updated code.
As soon as it starts to get slightly more complicated you will switch to a script language anyway. So why not start with python in the first place?
Walking directories:
walking along and processing files in directory in python
Replacing text in a file:
replacing text in a file with Python
Python regex howto:
http://docs.python.org/dev/howto/regex.html
I also recommend to install Eclipse + PyDev as this will make debugging a lot easier.
Here is an example of a simple automatic replacer
import os;
import sys;
import re;
import itertools;
folder = r"C:\Workspaces\Test\";
skip_extensions = ['.gif', '.png', '.jpg', '.mp4', ''];
substitutions = [("Test.Alpha.", "test.alpha."),
("Test.Beta.", "test.beta."),
("Test.Gamma.", "test.gamma.")];
for root, dirs, files in os.walk(folder):
for name in files:
(base, ext) = os.path.splitext(name);
file_path = os.path.join(root, name);
if ext in skip_extensions:
print "skipping", file_path;
else:
print "processing", file_path;
with open(file_path) as f:
s = f.read();
before = [[s[found.start()-5:found.end()+5] for found in re.finditer(old, s)] for old, new in substitutions];
for old, new in substitutions:
s = s.replace(old, new);
after = [[s[found.start()-5:found.end()+5] for found in re.finditer(new, s)] for old, new in substitutions];
for b, a in zip(itertools.chain(*before), itertools.chain(*after)):
print b, "-->", a;
with open(file_path, "w") as f:
f.write(s);
I'm using Python 2.6.6 and pyglet 1.1.4. In my "Erosion" folder, I have "Erosion.py" and a folder named "Images." Inside images, there are .png images. One image is named "Guard.png."
In "Erosion.py" there is a segment that goes like so:
pyglet.resource.path = ['Images']
pyglet.resource.reindex()
self.image = pyglet.resource.image('%s%s' % (character, '.png'))
When I run this, I am given
File "C:\Python26\lib\site-packages\pyglet\resource.py", line 394, in file raise ResourceNotFoundException(name)
ResourceNotFoundException: Resource "Guard.png" was not found on the path. Ensure that the filename has the correct captialisation.
I have tried changing the path to ['./Images'] and ['../Images']. I've also tried removing the path and the reindex call and putting Erosion.py and Guard.png in the same folder.
This is what i do to be able to load resources:
pyglet.resource.path = ['C:\\Users\\myname\\Downloads\\temp']
pyglet.resource.reindex()
pic = pyglet.resource.image('1.jpg')
texture = pic.get_texture()
gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MAG_FILTER, gl.GL_NEAREST)
texture.width = 960
texture.height = 720
texture.blit(0, 0, 0)
try this
pyglet.image.load('path/to/image.png')
If the relative path is not working you can try with the absolute path using the os module.
import pyglet
import os
working_dir = os.path.dirname(os.path.realpath(__file__))
pyglet.resource.path = [os.path.join(working_dir,'Images')]
pyglet.resource.reindex()
image = pyglet.resource.image('character.png'))
It's better to use the os.path.join method instead of writing it as a string for a better cross-platform support.
I get a problem like this using pyglet and pyscripter.(the text editor) In order for the file to be found I have to restart the editor before running the program.
This might be a problem with pyscripter however.
It is worth looking into: http://pyglet.readthedocs.io/en/pyglet-1.3-maintenance/programming_guide/resources.html
You should include all the directories into:
pyglet.resource.path = [...]
Then pass the ONLY the file name when you call:
pyglet.resource.image("ball_color.jpeg")
Try:
import os
import pyglet
working_dir = os.path.dirname(os.path.realpath(__file__))
image_dir = os.path.join(working_dir, 'images')
sound_dir = os.path.join(working_dir, 'sound')
print working_dir
print "Images are in: " + image_dir
print "Sounds are in: " + sound_dir
pyglet.resource.path = [working_dir, image_dir, sound_dir]
pyglet.resource.reindex()
try:
window = pyglet.window.Window()
image = pyglet.resource.image("ball_color.jpeg")
#window.event
def on_draw():
window.clear()
image.blit(0, 0)
pyglet.app.run()
finally:
window.close()
The use of try and finally are not necessary, but they are recommended. You might end up with a lot of open windows and pyglet back processes if you don't close the window when there are errors.
pyglet 1.4.4 format: HUD_img = pyglet.resource.image('ui\ui_gray_block_filled.png')
pyglet 1.4.8 format: HUD_img = pyglet.resource.image('ui/ui_gray_block_filled.png')
I was using pyglet 1.4.4 and was able to use this the first format.
After upgrading to pyglet 1.4.8 I had the error: pyglet.resource.ResourceNotFoundException: Resource "your_resource_path" was not found on the path.
Switching to the 2nd format with forward slashes solved this issue for me. Not sure why this change was made...I'm sure there was a good reason for it.