我想用double替换字符串中的所有单引号,除了"not","ll","m"等出现之外.
input="the stackoverflow don\'t said, \'hey what\'"
output="the stackoverflow don\'t said, \"hey what\""
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代码1:(@ /sf/users/64327161/)
def convert_regex(text):
return re.sub(r"(?<!\w)'(?!\w)|(?<!\w)'(?=\w)|(?<=\w)'(?!\w)", '"', text)
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有3种情况:'不在前面,后面跟不是字母数字字符; 或者之前没有,但后面跟着一个字母数字字符; 或者之前是字母数字字符,而不是字母数字字符.
问题:这不适用于以撇号结尾的单词,即大多数占有性复数,并且它也不适用于以撇号开头的非正式缩写.
代码2:(@ /sf/users/66743771/)
def convert_text_func(s):
c = "_" #placeholder character. Must NOT appear in the string.
assert c not in s
protected = {word: word.replace("'", c) for word in ["don't", "it'll", "I'm"]}
for k,v in protected.iteritems():
s = s.replace(k,v)
s = s.replace("'", '"')
for k,v in protected.iteritems():
s = s.replace(v,k)
return s
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要指定的单词太多,如何指定人员等等.请帮忙.
编辑1: …
下面有一个数值稳定的方法来计算softmax函数吗?我在神经网络代码中获得的值变为Nans.
np.exp(x)/np.sum(np.exp(y))
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event_types={"as":0,"ah":0,"es":0,"eh":0,"os":0,"oh":0,"cs":0,"ch":0}
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我怎么能代替a通过append,s通过see,h通过horse,e通过exp与之间的空间.
输出如下:
{"append see":0,"append horse":0,"exp horse":0....}
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client = dropbox.client.DropboxClient('<token>')
f = open('/ssd-scratch/abhishekb/try/1.mat', 'rb')
response = client.put_file('/data/1.mat', f)
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我想将一个大文件上传到dropbox.我该如何检查进度?[文件]
编辑:以上的某种情况下,上传者也是如此.我究竟做错了什么
import os,pdb,dropbox
size=1194304
client = dropbox.client.DropboxClient(token)
path='D:/bci_code/datasets/1.mat'
tot_size = os.path.getsize(path)
bigFile = open(path, 'rb')
uploader = client.get_chunked_uploader(bigFile, size)
print "uploading: ", tot_size
while uploader.offset < tot_size:
try:
upload = uploader.upload_chunked()
print uploader.offset
except rest.ErrorResponse, e:
print("something went wrong")
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编辑2:
size=1194304
tot_size = os.path.getsize(path)
bigFile = open(path, 'rb')
uploader = client.get_chunked_uploader(bigFile, tot_size)
print "uploading: ", tot_size
while uploader.offset < tot_size:
try:
upload = uploader.upload_chunked(chunk_size=size)
print …Run Code Online (Sandbox Code Playgroud) 如何在requirements.txt文件中包含它?对于Linux:
pip install http://download.pytorch.org/whl/cu75/torch-0.1.12.post2-cp27-none-linux_x86_64.whl
pip install torchvision
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对于MacOS:
pip install http://download.pytorch.org/whl/torch-0.1.12.post2-cp27-none-macosx_10_7_x86_64.whl
pip install torchvision
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我在Matlab中使用这个视觉工具箱校准了相机.我使用棋盘图像来做到这一点.校准后,我得到cameraParams,其中包含:
Camera Extrinsics
RotationMatrices: [3x3x18 double]
TranslationVectors: [18x3 double]
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和
Camera Intrinsics
IntrinsicMatrix: [3x3 double]
FocalLength: [1.0446e+03 1.0428e+03]
PrincipalPoint: [604.1474 359.7477]
Skew: 3.5436
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目的: 我使用这台相机记录了一些运动物体的轨迹.每个对象对应于帧中的单个点.现在,我想要投射点,以便我得到一个顶视图.
请注意我希望转换的所有这些点都在同一个平面上.
例如:[xcor_i,ycor_i]
-101.7000 -77.4040
-102.4200 -77.4040
Run Code Online (Sandbox Code Playgroud)代码 (参考:https://stackoverflow.com/a/27260492/3646408并在下面以@Dima回答):
function generate_homographic_matrix()
%% Calibrate camera
% Define images to process
path=['.' filesep 'Images' filesep];
list_imgs=dir([path '*.jpg']);
list_imgs_path=strcat(path,{list_imgs.name});
% Detect checkerboards in images
[imagePoints, boardSize, imagesUsed] = detectCheckerboardPoints(list_imgs_path);
imageFileNames = list_imgs_path(imagesUsed);
% Generate world coordinates of the corners of the squares
squareSize = …Run Code Online (Sandbox Code Playgroud) matlab opencv computer-vision camera-calibration matlab-cvst
错误:每当我在图中添加图例时,它都会给我这个错误:我不明白为什么?它完美无缺ax.legend().
(仅限相关帖子:https://github.com/matplotlib/matplotlib/pull/3451)
ValueError Traceback (most recent call last)
/home/abhishek/anaconda2/lib/python2.7/site-packages/IPython/core/formatters.pyc in __call__(self, obj)
305 pass
306 else:
--> 307 return printer(obj)
308 # Finally look for special method names
309 method = get_real_method(obj, self.print_method)
/home/abhishek/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.pyc in <lambda>(fig)
225
226 if 'png' in formats:
--> 227 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
228 if 'retina' in formats or 'png2x' in formats:
229 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
/home/abhishek/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.pyc in print_figure(fig, fmt, bbox_inches, **kwargs)
117
118 bytes_io …Run Code Online (Sandbox Code Playgroud) def tdm_modify(feature_names,tdm):
non_useful_words=['kill','stampede','trigger','cause','death','hospital'\
,'minister','said','told','say','injury','victim','report']
indexes=[feature_names.index(word) for word in non_useful_words]
for index in indexes:
tdm[:,index]=0
return tdm
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我想在tdm矩阵中为某些术语手动设置零权重.使用上面的代码我收到警告.我好像不明白为什么?有一个更好的方法吗?
C:\Anaconda\lib\site-packages\scipy\sparse\compressed.py:730: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
SparseEfficiencyWarning)
Run Code Online (Sandbox Code Playgroud) from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.common.exceptions import StaleElementReferenceException, TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
import urllib,requests,unidecode,lxml,pdb
from pyvirtualdisplay import Display
from xvfbwrapper import Xvfb
class wait_for_more_than_n_elements_to_be_present(object):
def __init__(self, locator, count):
self.locator = locator
self.count = count
def __call__(self, driver):
try:
elements = EC._find_elements(driver, self.locator)
return len(elements) > self.count
except StaleElementReferenceException:
return False
def return_html_code(url):
print url #added in edit 1
vdisplay =Xvfb()
vdisplay.start()
driver = webdriver.Firefox()
driver.maximize_window() …Run Code Online (Sandbox Code Playgroud) 我正在使用Kubuntu 16.04和kde 5.6.4.我安装了anaconda python 3.5,其中包括ipython qtconsole.
要启动ipython qtconsole,我必须输入ipython qtconsole终端.无论如何我可以为它创建一个发射器吗?
我知道有一个包,但它没有链接到anaconda python 3.5,我不想要另一个单独的python 3.5.
abhishek ~ $ apt-cache search ipython3-qtconsole
ipython3 - enhanced interactive Python 3 shell
ipython3-qtconsole - enhanced interactive Python 3 shell - Qt console
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nlp ×2
numpy ×2
python-2.7 ×2
anaconda ×1
dictionary ×1
dropbox ×1
dropbox-api ×1
ipython ×1
matlab ×1
matlab-cvst ×1
matplotlib ×1
nan ×1
opencv ×1
pip ×1
progress-bar ×1
pytorch ×1
qtconsole ×1
regex ×1
replace ×1
scipy ×1
selenium ×1
softmax ×1
string ×1
xvfb ×1