loops

问题 i need to create a wordpress loop where the first post will be col-md-12 and the next 4 posts will be col-md-6 <div class= "col-md-12"> </div> <div class= "col-md-6"> </div> <div class= "col-md-6"> </div> <div class= "col-md-6"> </div> <div class= "col-md-6"> </div> and then <div class= "col-md-12"> </div> <div class= "col-md-6"> </div> <div class= "col-md-6"> </div> <div class= "col-md-6"> </div> <div class= "col-md-6"> </div> 回答1: may be this can help : <?php if ( have_posts() ) { $counter

问题 How to add wait of 30 sec. in between 2 loop controller? Each loop controller has loop count 10. Scenario: 1.No. of threads=5 2.For each user, No. of loop controllers=5 Loop_controller_1(count=10, i.e. 10 HTTP request) Wait for 10 sec Loop_controller_2(count=10 i.e. 10 HTTP request) wait for 10 sec Loop_controller_3(count=10 i.e. 10 HTTP request) wait for 10 sec Loop_controller_4(count=10 i.e. 10 HTTP request) wait for 10 sec Loop_controller_5(count=10 i.e. 10 HTTP request) wait for 10 sec

问题 I got a question in exam where I was given an array a a = [9,8,10,2] what I need to do is cross iterate the array on itself and get the concatenation of all the possible elements i.e a*a Once all elements are concatenated in that order, then I need to sum them up. My code is in the snippet: Also tried in PHP function sumIt($a) { $totalSum = 0; $len1 = count($a); for($i = 0; $i < $len1; $i++){ for($ii = 0; $ii < $len1; $ii++) { $totalSum += $a[$i].''.$a[$ii]; } } return $totalSum; } The input

问题 I am trying to write a python code that finds restriction enzyme sites within a sequence of DNA. Restriction enzymes cut at specific DNA sequences, however some are not so strict, for example XmnI cuts this sequence: GAANNNNTTC Where N can be any nucleotide (A, C, G, or T). If my math is right thats 4^4 = 256 unique sequences that it can cut. I want to make a list of these 256 short sequences, then check each one against a (longer) input DNA sequence. However, I'm having a hard time

问题 I am new to loops. I have an unwieldy data frame that I want to cut down so that only observations (rows) without negative numbers remain. Here is where I'm stuck. This creates a null value every time instead of a trimmed down data frame. mydata=for (i in names(df)) { subset(df, df[[ paste(i)]]>=0) } 回答1: How about a purely vectorised solution: DF[!rowSums(DF < 0), ] # ID Items Sequence #1 1 D 1 #2 1 A 2 #5 2 B 2 Data DF=structure(list(ID = c(1, 1, 1, -1, 2), Items = c("D", "A", "A", "A", "B"

问题 I'm trying to use Ansible to loop through a nested dict and add a new key:value. I'm able to add a value using combine to the top-level dict but unsure how to update the value dict. I see that loop can be used to iterate through the dict but how can update be done at the same time? My Dict {'host-a': {'os': 'Linux', 'port': '22', 'status': 'Running'}, 'host-b': {'os': 'Linux', 'port': '22', 'status': 'Running'}, 'host-c': {'os': 'Linux', 'port': '22', 'status': 'Running'}} I'm able to append

问题 I have data obtained from a survey that lists the recipient's name and whether or not they selected a specific county in the state. The survey structure outputs an off for any county not selected and an for the selected county. The state has about 100 counties so there end up being a lot of columns that really correspond to the same question. What I am looking to do is replace any cells with on with the county name and any cells with off with a blank. From there I can basically unite many

问题 I already wrote below nested loops to generate 21 charts with success (one chart for each country, for example german gas austrian gas) dfs is a dict with 21 countries names as keys and their respective gas storage dfs as values for country in list(dfs_storage.keys()): df_country=dfs_storage[country] month = list(set(df_country['month'])) fig = go.Figure() for year in set(df_country['year']): workingGasVolume_peryear=df_country.loc[df_country['year']==year,'workingGasVolume'] gasInStorage

问题 I already wrote below nested loops to generate 21 charts with success (one chart for each country, for example german gas austrian gas) dfs is a dict with 21 countries names as keys and their respective gas storage dfs as values for country in list(dfs_storage.keys()): df_country=dfs_storage[country] month = list(set(df_country['month'])) fig = go.Figure() for year in set(df_country['year']): workingGasVolume_peryear=df_country.loc[df_country['year']==year,'workingGasVolume'] gasInStorage

问题 How can I have more than one loop running ate the same time using the same function but using different parameters like: @tasks.loop(seconds = 10) async def loop(name): Print(name) loop.start("Jon") loop.start("Joseph") Is this how u pass parameters to loops? 回答1: You need to create a new Loop object for each loop. You can do this by using regular function calling repeatedly instead of the decorator: async def loop(name): print(name) names = ["Jon", "Joseph"] loops = {name: tasks.loop(seconds