boolean

问题 I have a column in my hive table which datatype is boolean. when I tried to import data from csv, it stored as NULL. This is my sample table : CREATE tABLE if not exists Engineanalysis( EngineModel String, EnginePartNo String , Location String, Position String, InspectionReq boolean) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n'; My sample data : AB01,AS01-IT01,AIRFRAME,,0 AB02,AS01-IT02,AIRFRAME,,1 AB03,AS01-IT03,AIRFRAME,,1 AB04,AS01-IT04,AIRFRAME,,1 AB05,AS01-IT05

问题 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . Improve this question I have a weird behavior which seem due to some intern cooking in iOS. When I do : id data1 = @(NO); if ([data1 isKindOfClass:[NSNumber class]]) { // doesn't come here. } But with @(YES) it work perfectly. First I would like to understand why. Second, I would

问题 I am monitoring an external device that outputs a boolean value of False when the condition is not met, and a boolean value of True when the condition is met. The problem is, the boolean value is output more than once after the condition is met. This is what the output looks like: False False False False True True False False False So what I would like to be able to do is monitor this value and execute a simple function, only once for each time the boolean changes from False to True. I have

问题 Assume I have a list of binary parameters (in reality it is a list of checkboxes' IsChecked.Value property). I'm trying to get the bool? (ternary) result that: is true if all the elements in the list are true is false if all the elements in the list are false is null in all other cases, thus there are both true and false elements in the list or the list is empty Until now I came up with the solution that requires iterating over the list twice (checking whether all elements are either true or

问题 I am drawing random boolean numbers with std::mt19937 rng; std::uniform_int_distribution<int> dis(0, 1); In extreme cases, drawing these numbers can take up to 40% of the CPU time of my process. Is there any way to make this faster? 回答1: I would get rid of uniform_int_distribution . One invocation of std::mt19937::operator() (i.e. doing rng() ) will give you 32 random bits, which you can use one by one. A benchmark shows that this method is about 23 times faster. 回答2: You might be happy with

问题 I have 4 dataframes I'm going to be comparing, that each look like ID Jan Feb Mar 1 True True False 2 True True True 3 False False False anywhere from 2 to 3000 rows. They will have the exact same column names but may not always share all the same index IDs. What I would like to do is compare them and generate a new dataframe based on their values. For any cell that was False in at least one dataframe, I want to assign it a string (e.g. "False in Dataframe1") and if multiple, append both (e.g

问题 Is there a proof tactic in coq which takes all the boolean operations in an expression (andb, orb, implb, etc) and replaces them with Propositional connectives (and, or, impl) and encapsulates the boolean variables x in Is_true(x) ? If not, how can I write one? 回答1: You could use a rewrite database, for instance: Require Import Setoid. Require Import Bool. Lemma andb_prop_iff x y: Is_true (x && y) <-> Is_true x /\ Is_true y. Proof. split; [apply andb_prop_elim | apply andb_prop_intro]. Qed.

问题 I have dataframe users with different columns. My goal is to add the column [ uses_name ] which should be True when a password is the same as each users first or last name. For example, [ user_name ] in twelve row contain milford.hubbard . Then in [ uses_name ] will be True , because the [ password ] and [ last_name ] are the same. To do this, I create two columns [ first_name ] and [ last_name ] with regular expressions. When create [ uses_name ] I have trouble with | operator. I am read

问题 I failed to save a boolean mask as an attribute of a Cython class. In the real code I need this mask to perform tasks more efficiently. Here it follows a sample code: core.pyx import numpy as np cimport numpy as np cdef class MyClass(): cdef public np.uint8_t[:] mask # uint8 has the same data structure of a boolean array cdef public np.float64_t[:] data def __init__(self, size): self.data = np.random.rand(size).astype(np.float64) self.mask = np.zeros(size, np.uint8) script.py import numpy as

问题 I failed to save a boolean mask as an attribute of a Cython class. In the real code I need this mask to perform tasks more efficiently. Here it follows a sample code: core.pyx import numpy as np cimport numpy as np cdef class MyClass(): cdef public np.uint8_t[:] mask # uint8 has the same data structure of a boolean array cdef public np.float64_t[:] data def __init__(self, size): self.data = np.random.rand(size).astype(np.float64) self.mask = np.zeros(size, np.uint8) script.py import numpy as