cmph | C Minimal Perfect Hashing Library | Hashing library
kandi X-RAY | cmph Summary
kandi X-RAY | cmph Summary
cmph - c minimal perfect hashing library. a perfect hash function maps a static set of n keys into a set of m integer numbers without collisions, where m is greater than or equal to n. if m is equal to n, the function is called minimal. minimal perfect hash functions (concepts.html) are widely used for memory efficient storage and fast retrieval of items from static sets, such as words in natural languages, reserved words in programming languages or interactive systems, universal resource locations (urls) in web search engines, or item sets in data mining techniques. therefore, there are applications for minimal perfect hash functions in information retrieval systems, database systems, language translation systems, electronic commerce systems, compilers, operating systems, among others. the use of minimal perfect hash functions is, until now, restricted to scenarios where the set of keys being hashed is small, because of the limitations of current algorithms. but in many cases, to deal with huge set of keys is crucial. so, this project gives to the free software community an api that will work with sets in the order of billion of keys. probably, the most interesting application for minimal perfect hash functions is its use as an indexing structure for
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QUESTION
I have a dataset df_1 that looks like this:
date stock A stock B stock C stock D 2020-11-01 4 8 14 30 2020-11-10 0.4 0.6 0.8 0.2 2020-11-30 6 10 20 35 2020-12-01 6 10 20 35 2020-11-31 8 12 25 0.1And a second dataset, df_2:
date output1 output2 11/2020 stock A,stock B stock C, stock D 12/2020 stock B,stock D stock A,stock CI want to, for every output in df_2, compute the return for each month. An expected result for this example is df_3:
date output1 output2 11/2020 stock A: 50%, stock B: 25% stock C:42.8% , stock D: 16.6% 12/2020 stock B: 20% ,stock D: 14.3% stock A: 33.3% , stock C: 25%In the df_3, I do not need the result to be displayed with a comma separator, however, I need later to be able to plot everything in a graph with time on the X axis and stock values (from df_3) on the Y axis.
Update 1: As requested, here is the constructor of my sample dataframes: df1:
...ANSWER
Answered 2022-Feb-19 at 10:40Assuming the index of df1
is a DatetimeIndex
and df2
a PeriodIndex
. So suppose the following dataframes:
QUESTION
I am having the following CMakeList.txt:
...ANSWER
Answered 2020-Jul-07 at 05:54I found a proper solution, the two things were important in finding that solution:
- first i had to use the compatible compiler that is g++ 8.3.1 instead of the more recent 10.1.0
- important is the proper use of the CUDA_SEPARABLE_COMPILATION property
Here is the full CMakeList.txt which now compiles entire code without compilation errors:
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