sparsehash | C++ associative containers | Hashing library
kandi X-RAY | sparsehash Summary
kandi X-RAY | sparsehash Summary
This directory contains several hash-map implementations, similar in API to SGI's hash_map class, but with different performance characteristics. sparse_hash_map uses very little space overhead, 1-2 bits per entry. dense_hash_map is very fast, particulary on lookup. (sparse_hash_set and dense_hash_set are the set versions of these routines.) On the other hand, these classes have requirements that may not make them appropriate for all applications. All these implementation use a hashtable with internal quadratic probing. This method is space-efficient -- there is no pointer overhead -- and time-efficient for good hash functions.
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QUESTION
I am relatively new to C, although I have been developing with other languages for an extended period of time. In an attempt to "Learn by doing", whilst working through a coursera course on C & C++ I decided to challenge myself with both by writing a wrapper for an existing project, which would translate to what I would eventually be using them for in my real world application of them.
I am building a C interface for a C++ implementation of Google Sparse Hash Map, using a guide on C interfaces / wrapping (here), but seem to be having issues with either data not inserting, or not being able to read the data once inserted?
This is what I have.
The C++ Objectsparsehashmap.cpp
ANSWER
Answered 2022-Apr-11 at 15:28You are mapping pointers to pointers, but you likely intended to map strings to strings.
QUESTION
The project https://github.com/zju3dv/NeuralRecon
My computer
- Linux 20.04
- nvidia-driver 510.47.03
- cuda 11.0
- cudnn 8.2.1
The environment.yaml ...
ANSWER
Answered 2022-Mar-16 at 11:22You seem to have made manual changes to the environment.yaml
that is provided in the git that you linked. From the github (your changes highlighted):
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