sailist

// JS脚本区域
function insertAtCursor(myField, myValue) {
  //IE support
  if (document.selection) {
    document.selection.empty();
    caretPos.text = myValue;
    caretPos.select();
    myField.focus();
  }
  //MOZILLA/NETSCAPE support

sailist

{"version":1,"resource":"file:///Users/yanghaozhe/Documents/timeflow/webview/feedhub-viewv2/node_modules/%40ant-design/icons/lib/icons/StarFilled.d.ts","entries":[{"id":"3Ci5.ts","source":"工作区编辑","timestamp":1652801443655},{"id":"o4b3.ts","source":"工作区编辑","timestamp":1652801554982}]}

sailist

set /p commitmsg=input commitmsg:
git add *
git commit -m %a%
git push

sailist

Windows Registry Editor Version 5.00
[HKEY_CLASSES_ROOT\.md\ShellNew]
"NullFile"=""
"FileName"="template.md"

sailist

python setup.py sdist bdist_wheel
SET CountI=0
SET BakDir="./dist/"
for /f   %%a in ('dir %BakDir% /a:-d /B /o:-D') do (
rem echo %%a
SET FileName=%%a
SET CountI=CountI+1
rem echo %CountI%
if %CountI% == 0 goto bakup2
 

sailist

from keras.layers import Layer
import numpy as np
from keras.layers import Lambda
from librosa.feature import melspectrogram
from keras import backend as K
from keras.preprocessing.sequence import pad_sequences
from sklearn.preprocessing import scale as skscale
from scipy import signal

class MelFeature():

sailist

class ParallelModel(keras.models.Model):
    """Subclasses the standard Keras Model and adds multi-GPU support.
    It works by creating a copy of the model on each GPU. Then it slices
    the inputs and sends a slice to each copy of the model, and then
    merges the outputs together and applies the loss on the combined
    outputs.
    """

    def __init__(self, keras_model, gpu_count):
        """Class constructor.

sailist

ū#u,1
à#a,4
ǔ#u,3
ǐ#i,3
í#i,2
é#e,2
ó#o,4
ò#o,2
ā#a,1
ú#u,2

sailist

ele = $('tbody tr input');
index = 0;

value = [0,0,0,0,0,
0,0,0,0,0,
0,0,0,0,0,
0,0,
1,1,2,0];
txt = "老师教的很好";

sailist

import pandas as pd
import random

A = ["a1","a2","a3","a4"]
B = ["b1","b2","b3","b4"]
C = ["c1","c2","c3","c4"]
D = ["d1","d2"]
ALL = [A,B,C,D]
def sample(size = 6):
    li = []