kandi X-RAY | mean Summary
kandi X-RAY | mean Summary
Top functions reviewed by kandi - BETA
mean Key Features
mean Examples and Code Snippets
def mean(values, weights=None, metrics_collections=None, updates_collections=None, name=None): """Computes the (weighted) mean of the given values. The `mean` function creates two local variables, `total` and
def mean_per_class_accuracy(labels, predictions, num_classes, weights=None, metrics_collections=None, updates_
def mean_iou(labels, predictions, num_classes, weights=None, metrics_collections=None, updates_collections=None, name=None): """Calculate per-step mean Intersection-Over-
Trending Discussions on mean
I have basically this very odd type of data frame:
The first column is the name of the States (say I have 3 states), the second to the last column (say I have 5 columns) contains some values recorded at different dates (not continuous). I want to create a graph that plots the values for each State on the range of the dates that starts from the earliest and end in the latest dates (continuous).
The table looks like this:state 2020-01-01 2020-01-05 2020-01-06 2020-01-10 AZ NA 0.078 -0.06 NA AK 0.09 NA NA 0.10 MS 0.19 0.21 NA 0.38
"NA" means there is not data.
How do I produce this graph in which the x axis is from 2020-01-01 to 2020-01-10 (continuous), the y axis contains the changing values (as points) of the three States, each state occupies its separate (segmented) y-axis?
ANSWERAnswered 2021-Jun-16 at 03:41
You can get the data into a long format, which makes it easier to plot. R will make it difficult to read column names that start with a number. While reading the data, ensure that you have
check.names = FALSE so that column names are read as is.
Folks, Basically what I am expecting is a list of lists based on the input comma separated numbers. As you can see I have 5,6 which means I need to create a 5 lists with 6 elements and each of the element in the lists will have to be multiplied by the index position. So what I need from the below input is [[0,0,0,0,0,0], [0,1,2,3,4,5], [0,2,4,6,8,10], [0,3,6,9,12,15],[0,4,8,12,16,20]]
instead what I get is [[0, 4, 8, 12, 16, 20], [0, 4, 8, 12, 16, 20], [0, 4, 8, 12, 16, 20], [0, 4, 8, 12, 16, 20], [0, 4, 8, 12, 16, 20]]
not sure what I am doing wrong.. Can anyone please help?...
ANSWERAnswered 2021-Jun-16 at 03:49
This can easily be done using
I have a python code I know where is it used but want to know its meaning so that I can use it for my bigger python projects This is my python code...
ANSWERAnswered 2021-Jun-16 at 01:27
I don't know if I understood your question, but this is what the code is doing:
var_list is a list with two elements
slice1 and slice2 are being defined as
(var_list + [None]*2)[:2]. This expression adds the var_list to a new list of 2 None objects (
[None] * 2 == [None, None]). The result of this expression (
(var_list + [None] *2)) is the addition of these 2 lists, which is:
[100, 2025, None, None]
Then the last part (
[:2]) is just slicing the first 2 elements of this resulting list and assigning it to the variables. And since, in this case, the first 2 items are the var_list itself, it will assign the first element to slice1 and the second to slice2.
I'm trying to understand how parallelization works in Durable Function. I have a durable function with the following code:...
ANSWERAnswered 2021-Jun-10 at 08:44
There are two approaches that are possible. The first is to use a suborchestrator for each job so that each suborchestrator handles just a specific job. Here is the docs for this approach https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-sub-orchestrations?tabs=csharp Example from docs seem to be alike to yours.
The other is to use ContinueWith so that each job has its own "chain"
Question: What is the "best" (most idiomatic, or straightforward, or whatever you think 'best' should mean here) way to achieve that?
Examples run in the
Raku REPL follow.
What I was hoping would work...
ANSWERAnswered 2021-Jun-15 at 06:40
I think the main misunderstanding is that
my Int @a = 1,2,3 and
[1,2,3] are somehow equivalent. They are not. The first case defines an array that will only take
Int values. The second case defines an array that will take anything, and just happens to have
Int values in it.
I'll try to cover all versions you tried, why they didn't work, and possibly how it would work. I'll be using a bare
dd as proof that the body of the function was reached.
Here's my csv file CSV
I'm trying to take the mean of columns "Angle Min" and "Angle Max" and then multiply every row in the resulting dataframe with the "Angle Conversion Factor" in cell D8. Likewise I want to do the same with "Torque Min" and "Torque Max" (get the mean and then multiply the resulting dataframe by the "Torque Conversion Factor" in Cell E8).
Here's my code so far:...
ANSWERAnswered 2021-Jun-15 at 21:54
TorqueConvFactor remain as 1x1 DataFrames in your code.
Just a slight cleanup of your function might give you what you need:
Sorry if this is a noob question!
I have two tables - a movie and a comment table.
I am trying to return output of the movie name and each comment for that movie as long as that movie has more than 1 comment associated to it.
Here are my tables...
ANSWERAnswered 2021-Jun-15 at 20:19
Something like this could work
While studying OpenCV, I realized that whenever I blend two images the colors of scr2 have changed in some way(depends on the colors of scr1).
I know this is not an informative and clear way to explain my issue, however; I don't know how to describe this issue since I have no expertise with colors so I would like to show you what I meant with images and code.
The input image: Input image...
ANSWERAnswered 2021-Jun-15 at 16:46
I think I misunderstood your issue. If your issue is that the image where you do not have lines has changed, then that is because you used a white background for scr2. The white then mixes with your image in the output. Make it scr2=img.copy() in place of what you have now. Then try your code. So in Python/OpenCV as a demonstration, using the Lena image as background, here is your code:
Hey guys given the example below in C when operating on a 64bit system as i understand, a pointer is 8 byte. Wouldn't the calloc here allocate too little memory as it takes the sizeof(int) which is 4 bytes? Thing is, this still works. Does it overwrite the memory? Would love some clarity on this.
Bonus question: if i remove the type casting (int*) i sometimes get a warning "invalid conversion from 'void*' to 'int*', does this mean it still works considering the warning?...
ANSWERAnswered 2021-Jun-15 at 21:19
calloc is allocating the amount of memory you asked for on the heap. The pointer is allocated by your compiler either in registers or on the stack. In this case,
calloc is actually allocating enough memory for 4
ints on the heap (which on most systems is going to be 16 bytes, but for the arduino uno it would be 8 because the
sizeof(int) is 2), then storing the pointer to that allocated memory in your register/stack location.
For the bonus question: Arduino uses C++ instead of C, and that means that it uses C++'s stronger type system.
void * and
int * are different types, so it's complaining. You should cast the return value of
malloc when using C++.
In C++20, we got the capability to sleep on atomic variables, waiting for their value to change.
We do so by using the
wait has been standardized,
wait_until are not. Meaning that we cannot sleep on an atomic variable with a timeout.
Working around the above problem (no way to sleep on an atomic variable with a timeout), I could pass the memory address of an
WaitOnAddress on Windows and it will (kinda) work with no UB, as the function gets
void* as a parameter, and it's valid to cast
On Linux, it is unclear whether it's ok to mix
futex gets either a
uint32_t* or a
int32_t* (depending which manual you read), and casting
u/int* is UB. On the other hand, the manual says
The uaddr argument points to the futex word. On all platforms, futexes are four-byte integers that must be aligned on a four- byte boundary. The operation to perform on the futex is specified in the futex_op argument; val is a value whose meaning and purpose depends on futex_op.
alignas(4) std::atomic should work, and it doesn't matter which integer type is it is as long as the type has the size of 4 bytes and the alignment of 4.
So what is the best way to sleep on an atomic variable with a timeout in a non UB way? Do we have to implement our own atomic class with OS primitives to achieve it correctly?
(Solutions like mixing atomics and condition variables exist, but sub-optimal)...
ANSWERAnswered 2021-Jun-15 at 20:48
You shouldn't necessarily have to implement a full custom
atomic API, it should actually be safe to simply pull out a pointer to the underlying data from the
atomic and pass it to the system.
std::atomic does not offer some equivalent of
native_handle like other synchronization primitives offer, you're going to be stuck doing some implementation-specific hacks to try to get it to interface with the native API.
For the most part, it's reasonably safe to assume that first member of these types in implementations will be the same as the
T type -- at least for integral values . This is an assurance that will make it possible to extract out this value.
... and casting
This isn't actually the case.
std::atomic is guaranteed by the standard to be Standard-Layout Type. One helpful but often esoteric properties of standard layout types is that it is safe to
T to a value or reference of the first sub-object (e.g. the first member of the
As long as we can guarantee that the
std::atomic contains only the
u/int as a member (or at least, as its first member), then it's completely safe to extract out the type in this manner:
No vulnerabilities reported
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