loops

问题 So I posted this the other day with not enough information and never got an answer once I added the information asked, so I can't get the loop to work so my question is, I am reading from a file that has large text of strings on each line, it then has ints on the next line the strings need to be read into questionArrays() and the ints into answersArrays. Currently the loop simply goes round once and then just loops as it doesn't get any further in the file on the next getline() I did have

问题 I'm trying to make checkboxes to be checked by default based on the user's information retrieved from mysql. The shipping countries is a field that stores a string like USA|UK|Asia . To see if each checkboxes should be checked, I make an array check_countries to check against the retrieved data like this $country_html =""; $check_countries = array("Europe","Americas","USA","Australia","UK","Africa","Asia","Global"); $shipping_countries = explode("|",$shipping_countries); // e.g USA|UK|Asia

问题 I'm trying to make checkboxes to be checked by default based on the user's information retrieved from mysql. The shipping countries is a field that stores a string like USA|UK|Asia . To see if each checkboxes should be checked, I make an array check_countries to check against the retrieved data like this $country_html =""; $check_countries = array("Europe","Americas","USA","Australia","UK","Africa","Asia","Global"); $shipping_countries = explode("|",$shipping_countries); // e.g USA|UK|Asia

问题 Let’s say I have following simple code: useText = True for i in range(20): if useText: print("The square is "+ str(i**2)) else: print(i**2) I use the variable useText to control which way to print the squares. It doesn’t change while running the loop, so it seems inefficient to me to check it every time the loop runs. Is there any way to check useText only once, before the loop, and then always print out according to that result? This question occurs to me quite often. In this simple case of

问题 Edited: I was looking at the type annotations of the built-in zip() function. I understand that overload (in the context of type checking), can modify the behaviour of a function depending on the type of parameters it's given. @overload def zip(__iter1: Iterable[_T1]) -> List[Tuple[_T1]]: ... @overload def zip(__iter1: Iterable[_T1], __iter2: Iterable[_T2]) -> List[Tuple[_T1, _T2]]: ... @overload def zip(__iter1: Iterable[_T1], __iter2: Iterable[_T2], __iter3: Iterable[_T3]) -> List[Tuple[_T1

问题 Edited: I was looking at the type annotations of the built-in zip() function. I understand that overload (in the context of type checking), can modify the behaviour of a function depending on the type of parameters it's given. @overload def zip(__iter1: Iterable[_T1]) -> List[Tuple[_T1]]: ... @overload def zip(__iter1: Iterable[_T1], __iter2: Iterable[_T2]) -> List[Tuple[_T1, _T2]]: ... @overload def zip(__iter1: Iterable[_T1], __iter2: Iterable[_T2], __iter3: Iterable[_T3]) -> List[Tuple[_T1

问题 Now i use optbinning module to binning all logstic regression modeling varible. however optbinning module need to use only one variable ,such as variable = "REGION_POPULATION_RELATIVE" x = df[variable].values y = df.TARGET.values from optbinning import OptimalBinning optb = OptimalBinning(name=variable, dtype="numerical", solver="ls", max_n_prebins=100, min_prebin_size=0.001, time_limit=50) optb.fit(x, y) how can i use loop to get binning result for all variable ? i try to codeing variable

问题 Now i use optbinning module to binning all logstic regression modeling varible. however optbinning module need to use only one variable ,such as variable = "REGION_POPULATION_RELATIVE" x = df[variable].values y = df.TARGET.values from optbinning import OptimalBinning optb = OptimalBinning(name=variable, dtype="numerical", solver="ls", max_n_prebins=100, min_prebin_size=0.001, time_limit=50) optb.fit(x, y) how can i use loop to get binning result for all variable ? i try to codeing variable

问题 This is my first time writing code in R from scratch and I'm struggling with how to approach it. I'm looking at turtle nests and their proximity to light sources (i.e. houses, light poles, etc.) to determine how often a light source is within a given radius of a nest. These are both very large data sets (hundreds of thousands of rows) so the code will likely need to run a loop for each nest position. GPS coordinates for both data sets are in decimal degrees. The nest data is essentially

问题 I have a big dataframe with 10000 rows and 12 columns (discountdataset). The columns contain different variables. The first 210 rows represents subject 1 (there is also a column with "subject1"), the next 210 rows represent subject 2, and so on. I want to use jags and a loop function to loop through all 52 subjects in the dataframe, and assign a function to each of them. My code looks like this: #subsetting the dataframe by the variable subjectid subsetdiscount <- split(discountdataset, as