I hereby claim:
- I am pbexe on github.
- I am pbexe (https://keybase.io/pbexe) on keybase.
- I have a public key ASDUce3hPk53RcgI8nFlaONumuzwnFeiGgG4xEofz2UaVgo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
//Rates | |
rate "128000" | |
cl_cmdrate "128" | |
cl_updaterate "128" | |
cl_interp "0" | |
cl_interp_ratio "1" | |
cl_lagcompensation "1" | |
//Audio |
<nav> | |
<div class="nav-wrapper z-depth-2 white"> | |
<a href="#" class="brand-logo center grey-text text-darken-2">Logo</a> | |
</div> | |
</nav> | |
<div class="fixed-action-btn toolbar"> | |
<a class="btn-floating btn-large red"> | |
<i class="large material-icons">mode_edit</i> | |
</a> |
var colors = function(s) { | |
return s.match(/.{6}/g).map(function(x) { | |
return "#" + x; | |
}); | |
}; | |
var category10 = colors("1f77b4ff7f0e2ca02cd627289467bd8c564be377c27f7f7fbcbd2217becf"); | |
var category20b = colors("393b795254a36b6ecf9c9ede6379398ca252b5cf6bcedb9c8c6d31bd9e39e7ba52e7cb94843c39ad494ad6616be7969c7b4173a55194ce6dbdde9ed6"); |
#include <DS3231.h> | |
#include <LedControl.h> | |
#include <NewPing.h> | |
#define TRIGGER_PIN 9 // Arduino pin tied to trigger pin on the ultrasonic sensor. | |
#define ECHO_PIN 8 // Arduino pin tied to echo pin on the ultrasonic sensor. | |
#define MAX_DISTANCE 200 // Maximum distance we want to ping for (in centimeters). Maximum sensor distance is rated at 400-500cm. | |
NewPing sonar(TRIGGER_PIN, ECHO_PIN, MAX_DISTANCE); // NewPing setup of pins and maximum distance. |
Traceback (most recent call last): | |
File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1021, in _do_call | |
return fn(*args) | |
File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1003, in _run_fn | |
status, run_metadata) | |
File "C:\Python35\lib\contextlib.py", line 66, in __exit__ | |
next(self.gen) | |
File "C:\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 469, in raise_exception_on_not_ok_status | |
pywrap_tensorflow.TF_GetCode(status)) | |
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [21758,1500] rhs shape= [14531,1500] |
_vars = 'these are some test variable names'.split(' ') | |
for index, var in enumerate(_vars): | |
s = var + ' = '+str(index) | |
exec(s) | |
print(these, are, some, test, variable, names) |
import math | |
def encode(string, rot): | |
phrase = string.lower().replace(" ", "") | |
out = "" | |
a = "abcdefghijklmnopqrstuvwxyz" | |
for char in phrase: | |
out += a[(a.index(char)+rot) % 26] | |
return out |
(function worker() { | |
$.ajax({ | |
url: './ajax/', | |
success: function(data) { | |
// Some jam | |
}, | |
complete: function(data) { | |
setTimeout(worker, 2000); | |
} | |
}); |