upper | Make std in uppercase and forward to TCP , Unix socket | TCP library
kandi X-RAY | upper Summary
kandi X-RAY | upper Summary
Upper standard input and forward to tcp, unix or tty device. Suitable for controlling CNC and 3DPritners.
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QUESTION
I was looking through source and noticed that it references a variable environ
in methods before its defined:
ANSWER
Answered 2022-Mar-30 at 18:51TLDR search for from posix import *
in os
module content.
The os
module imports all public symbols from posix
(Unix) or nt
(Windows) low-level module at the beginning of os.py
.
posix
exposes environ
as a plain Python dict
.
os
wraps it with _Environ
dict-like object that updates environment variables on _Environ
items changing.
QUESTION
Community. I need to accept multiple comma-separated inputs to produce a summary of information ( specifically, how many different employees participated in each group/project)? The program takes employees, managers and groups in the form of strings.
I'm using anytree python library to be able to search/count the occurrence of each employee per group. However, this program is only accepting one value/cell at a time instead of multiple values.
Here is the tree structure and how I accept input values?
...ANSWER
Answered 2022-Feb-13 at 12:47I believe one way to go about it is:
QUESTION
I want to generate a rank 5 100x600 matrix in numpy with all the entries sampled from np.random.uniform(0, 20), so that all the entries will be uniformly distributed between [0, 20). What will be the best way to do so in python?
I see there is an SVD-inspired way to do so here (https://math.stackexchange.com/questions/3567510/how-to-generate-a-rank-r-matrix-with-entries-uniform), but I am not sure how to code it up. I am looking for a working example of this SVD-inspired way to get uniformly distributed entries.
I have actually managed to code up a rank 5 100x100 matrix by vertically stacking five 20x100 rank 1 matrices, then shuffling the vertical indices. However, the resulting 100x100 matrix does not have uniformly distributed entries [0, 20).
Here is my code (my best attempt):
...ANSWER
Answered 2022-Jan-24 at 15:05Not a perfect solution, I must admit. But it's simple and comes pretty close.
I create 5 vectors that are gonna span the space of the matrix and create random linear combinations to fill the rest of the matrix.
My initial thought was that a trivial solution will be to copy those vectors 20 times.
To improve that, I created linear combinations of them with weights drawn from a uniform distribution, but then the distribution of the entries in the matrix becomes normal because the weighted mean basically causes the central limit theorm to take effect.
A middle point between the trivial approach and the second approach that doesn't work is to use sets of weights that favor one of the vectors over the others. And you can generate these sorts of weight vectors by passing any vector through the softmax function with an appropriately high temperature parameter.
The distribution is almost uniform, but the vectors are still very close to the base vectors. You can play with the temperature parameter to find a sweet spot that suits your purpose.
QUESTION
I have an odd problem, where I am struggling to understand the nature of "static context" in Java, despite the numerous SO questions regarding the topic.
TL;DR:
I have a design flaw, where ...
This works:
...ANSWER
Answered 2022-Jan-26 at 17:11One way to solve the issue is by parameterizing the ParentDTO Class with its own children.
QUESTION
I'm trying to pivot to a longer format using dplyr::pivot_longer, but can't seem to get it to do what I want. I can manage with reshape::melt, but I'd also like to be able to achieve the same using pivot_longer.
The data I'm trying to reformat is a correlation matrix of the mtcars-dataset:
...ANSWER
Answered 2022-Jan-12 at 14:31Does this achieve the behavior you need?
QUESTION
I want to remove all signs from my dataframe
to leave it in either one of the two formats: 100-200
or 200
So the salaries should either have a single hyphen between them if a range of salaries if given, otherwise a clean single number.
I have the following data:
...ANSWER
Answered 2022-Jan-12 at 08:50You can do it in only two regex passes. First extract the monetary amounts with a regex, then remove the thousands separators, finally, join the output by group keeping only the first two occurrences per original row.
The advantage of this solution is that is really only extracts monetary digits, not other possible numbers that would be there if the input is not clean.
QUESTION
Is there a way to aggregate (e.g., sum, mean) intervals along a pandas series? I did it the long and non-elegant way but I feel like there has to be a built-in way to do this since people do a lot of time series analysis with pandas (this isn't time series btw). Maybe with use of the pd.Interval
object?
ANSWER
Answered 2021-Dec-16 at 20:00You are looking for groupby on pd.cut
:
QUESTION
I am trying to understand why the compiler is unable to resolve the bar
method call. I would expect bar(Xyz::new)
to always select bar(Supplier)
as bar(T extends Xyz)
can never match due to the upper bound on Xyz
.
ANSWER
Answered 2021-Nov-30 at 23:50You're right that a smarter compiler should be able to resolve this unambiguously.
The way Java resolves method invocations is complex. It's defined by the JLS, and I make it 7500 words purely to determine how to resolve a method. Pasted into a text editor, it was 15 pages.
The general approach is:
- Compile-Time Step 1: Determine Type to Search (no issue here)
- Compile-Time Step 2: Determine Method Signature
- Identify Potentially Applicable Methods
- Phase 1: Identify Matching Arity Methods Applicable by Strict Invocation
- Phase 2: Identify Matching Arity Methods Applicable by Loose Invocation
- Phase 3: Identify Methods Applicable by Variable Arity Invocation
- Choosing the Most Specific Method
- Method Invocation Type
- Compile-Time Step 3: Is the Chosen Method Appropriate?
I don't understand anywhere close to all of the details and how it pertains to your specific case. If you care to dive into it then I've already linked the full spec. Hopefully this explanation is good enough for your purposes:
Ambiguousness is determined at step 2.6, but there is still a further appropriateness check at step 3. Your foo
method must be failing at step 3. Your bar
method never makes it that far because the compiler still considers both methods to be valid possibilities. A human can make the determination that the non-appropriateness resolves the ambiguity, but that's not order the compiler does things. I could only speculate why - performance might be a factor.
Your code is operating at the intersection of generics, overloading and method references, all three of which were introduced at different times; it's not massively surprising to me that the compiler would struggle.
QUESTION
ANSWER
Answered 2021-Nov-18 at 00:03One option to achieve your desired result would be to use stat="bin"
in geom_text
too. Additionally we have to group
by year so that each year is a separate "block". The tricky part is to get the year labels for which I make use of after_stat
. However, as the group
s are stored internally as an integer sequence we have them back to the corresponding years for which I make use of a helper vector.
QUESTION
Suppose I have the file:
...ANSWER
Answered 2021-Nov-15 at 16:44With POSIX awk, I'd use match
and the builtin RSTART and RLENGTH variables:
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