mcspy
A Python Library for Mobile Crowdsensing Problems, with random, Epsilon-Greedy and New_MAB methods to build a MCS system and its group.
Installation
pip install mcspy
PyPI Address
Source Code
Script example
Functions
Basic Functions
1. constant_produce(num_of_system) 2. system_postprocess(relation_pre, workers, group_efficiency, times_total, num_of_group) 3. system_init(num_of_group, num_of_system) 4. normalization(x, num_of_system) 5. reselection_judge(workers, num_choice, i, num_of_group) 6. epsilon_produce(times) 7. random_unit(p) 8. list_init(start, stop, length) 9. result_produce(num_choice, pos_choice, workers, reselection_flag, num_of_group, relation_real, ability_of_workers)
Matrix Functions
1. matrix_assign(result_of_system, relation_total, relation_n, workers, num_of_group) 2. matrix_renewal(relation_n, relation_pre, relation_total, num_of_system)
Printing Functions
1. print_basic(relation_real, num_of_system, num_of_group, relation_var, abilities_var, ability_of_workers) 2. print_result(group_efficiency) 3. print_result_of_all(sum_of_result, iterations) 4. print_time(start, end)
Working Functions
1. group_work(workers, relation_real, num_of_group, ability_of_workers) 2. system_work_random(workers, num_of_group, num_of_system, relation_real, ability_of_workers) 3. system_work_epsilon(workers, min_index, person_efficiency, epsilon, num_of_system, num_of_group, relation_real, ability_of_workers) 4. system_work_mab(workers, min_index, person_efficiency, person_co, times, epsilon, num_of_system, num_of_group, relation_real, ability_of_workers):
Metadata
Release files for mcspy 1.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcspy-1.3.1.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcspy-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 kB
Release files / mcspy-1.3.1.tar.gz
| Download URL | mcspy-1.3.1.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eddb9509c109f50d81d63a62f778cab81a9b7e07e715bd069fdf79660e01ba68
|
|
BLAKE2b-256 checksum How to use checksums |
536e542394a33dba2610853e04c21b3d08a077441b510903135340637c343720
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / mcspy-1.3.1-py3-none-any.whl
| Download URL | mcspy-1.3.1-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6b9e187b60a7b424b13205d9372f9f03f36172066e008c6d0a982c26db37ff9a
|
|
BLAKE2b-256 checksum How to use checksums |
90ecd1046fa09e9fa7f5eafd2686e7c2433670df24ff71cb93d9f380ad6270ca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|