array

How do I replace bad words with php?

匿名 (未验证) 提交于 2019-12-03 09:52:54
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have some text i need to filter out a list of bad words in like: $bad_words = array( 'word1' => 'gosh', 'word2' => 'darn', ); I can loop through these and replace one at a time but that is slow right? Is there a better way? 回答1: Yes there is. Use preg_replace_callback() :

creating a scipy.lil_matrix using a python generator efficiently

匿名 (未验证) 提交于 2019-12-03 09:19:38
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have a generator that generates single dimension numpy.array s of the same length. I would like to have a sparse matrix containing that data. Rows are generated in the same order I'd like to have them in the final matrix. csr matrix is preferable over lil matrix, but I assume the latter will be easier to build in the scenario I'm describing. Assuming row_gen is a generator yielding numpy.array rows, the following code works as expected. def row_gen(): yield numpy.array([1, 2, 3]) yield numpy.array([1, 0, 1]) yield numpy.array([1, 0, 0])

FQL Query for facebook

匿名 (未验证) 提交于 2019-12-03 09:19:38
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Iam getting all my friends as an array using $graph_url = "https://api.facebook.com/method/fql.query?access_token=" . $access_token . "&query=SELECT+uid,name,work.position.name+FROM+user+WHERE+uid+IN+ (SELECT+uid2+FROM+friend+WHERE+uid1+=+me())&format=json"; And I want to put a condition to fetch the friends whose work position's name is 'dev'.I had try with FQL like $graph_url = "https://api.facebook.com/method/fql.query?access_token=" . $access_token . "&query=SELECT+uid,name,work.position.name+FROM+user+WHERE+uid+IN+ (SELECT+uid2+FROM

Python sort array of string with integers inside

匿名 (未验证) 提交于 2019-12-03 09:19:38
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: How i can use python to sort the list format format=["12 sheet","4 sheet","48 sheet","6 sheet", "busrear", "phonebox","train"] like this way format =["4 sheet", "6 sheet", "12 sheet", "48 sheet", "busrear, "phonebox", "train"] edit: If the array is a list of list then how can we do that like this one format=[[1L, u'12 sheet', 0],[2L, u'4 sheet', 0], [3L, u'48 sheet', 0], [4L, u'6 sheet', 0 [5L, u'Busrear', 0], [6L, u'phonebox', 0], [7L, u'train', 0]] 回答1: >>> fmts =["12 sheet","4 sheet","48 sheet","6 sheet", "busrear", "phonebox","train"] >>

Create Byte Array from GWT File upload Input

匿名 (未验证) 提交于 2019-12-03 09:18:39
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have a .NET web service that takes a byte array. I have a GWT client where I want the user to select a file using the FileUpload control and send it to the web service via HTTP stream. The file upload control contains a method to get the file path of the selected file. How can I then get that file and convert it to a byte array? I'm open to suggestions on how to get the file to my web service, not quite sure the Byte array will work... 回答1: If you want to convert the file in GWT, meaning in the browser. It's not possible to do in the

Euclidean distances (python3, sklearn): efficiently compute closest pairs and their corresponding distances

匿名 (未验证) 提交于 2019-12-03 09:18:39
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'm given a 2-D numpy array X consisting of floating values and need to compute the euclidean distances between all pairs of rows, then compute the top k row indices with the smallest distances and return them (where k > 0). I'm testing with a small array and this is what I have so far... import numpy as np from sklearn.metrics.pairwise import euclidean_distances X_testing = np.asarray([[1,2,3.5],[4,1,2],[0,0,2],[3.4,1,5.6]]) test = euclidean_distances(X_testing, X_testing) print(test) The resulting printout is: [[ 0. 3.5 2.6925824 3

How are array values stored in Little Endian vs. Big Endian architecture

匿名 (未验证) 提交于 2019-12-03 09:14:57
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I am inquiring about how to tell when one element in an array has finished and another is beginning in an endian architecture. I have 2 arrays where the size of long is 8 and the size of char is 1 long x[2] = {0x012345,0xFEDC}; char c[12] = {'a','b','c','d','e','f','g','h','0','1','2','3'}; And I was wondering how these values would be stored in the different Endian architectures if we consider x starting at memory address 0x100 and c starting at memory address 0x200 . I thought that the Big Endian address would be {01,23,45,FE,DC}

How to split 16-bit unsigned integer into array of bytes in python?

匿名 (未验证) 提交于 2019-12-03 09:14:57
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I need to split a 16-bit unsigned integer into an array of bytes (i.e. array.array('B') ) in python. For example: >>> reg_val = 0xABCD [insert python magic here] >>> print("0x%X" % myarray[0]) 0xCD >>> print("0x%X" % myarray[1]) 0xAB The way I'm currently doing it seems very complicated for something so simple: >>> import struct >>> import array >>> reg_val = 0xABCD >>> reg_val_msb, reg_val_lsb = struct.unpack("<BB", struct.pack("<H", (0xFFFF & reg_val))) >>> myarray = array.array('B') >>> myarray.append(reg_val_msb) >>> myarray.append(reg

Update MySQL table with an Array using Foreach

匿名 (未验证) 提交于 2019-12-03 09:14:57
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: This is driving me potty so please help. I am trying to update a Mysql table with an array. Something like this $a = array('1', '2', '3'); foreach($a as $id){ mysql_query("UPDATE table SET id = '$id' WHERE column = 'something'") or die(mysql_error()); } So after the update the id column should have values 1, 2, 3 Instead it updates with 1, 1, 1 Not exactly what I want. Can someone please showing what I am doing wrong. Thanks in advance. 回答1: Each of your update statements in the foreach are acting on the same row or set of rows each time. In

PHP Array removing the duplicate key value and displaying only one

匿名 (未验证) 提交于 2019-12-03 09:14:57
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Array ( [0] => Array ( [user_id] => 78 [post_id] => 3 [post_user_added_id] => 2 ) [1] => Array ( [user_id] => 76 [post_id] => 8 [post_user_added_id] => 16 ) [2] => Array ( [user_id] => 78 [post_id] => 9 [post_user_added_id] => 12 ) [3] => Array ( [user_id] => 76 [post_id] => 9 [post_user_added_id] => 15 ) [4] => Array ( [user_id] => 77 [post_id] => 9 [post_user_added_id] => 15 ) ) The idea here is that when there is a duplicate user_id, it will just display only one? This is the expected result: Array ( [2] => Array ( [user_id] => 78 [post