CCNUACM DataMocker
Description
This project is a data mocker for CCNUACM. It is written in Python. Source code is available on our Github repo:CCNUACM_DataMocker.
Installation
To install the necessary dependencies, run the following command:
pip3 install ccnuacm-datamocker -U
Usage
Following is a basic example of how to use the data mocker. More examples are avaliable here.
import ccnuacm_datamocker as dm
from ccnuacm_datamocker.data_model import *
import os
dm.set_seed(0)
dm.set_work_dir(".")
dm.set_compiler("D:/mingw/bin/g++.exe")
os.makedirs("./std", exist_ok=True)
open("./std/APlusB.cpp", "w").write(
"""
#include <iostream>
int32_t main() {
int64_t T;
std::cin >> T;
while (T--) {
int64_t a, b;
std::cin >> a >> b;
std::cout << a + b << '\\n';
}
return 0;
}
"""
)
ds = DataSet(name="APlusB", std_path="./std/APlusB.cpp")
ds.add(
RandomInt(low=1, high=100)
.repeat(times=2, sep=" ")
.repeat(times=10, sep="\n", show_times=True, h_sep="\n"),
reputation=2,
)
ds.show()
ds.run()
Contributing
Contributions are welcome. Please submit a pull request or create an issue to discuss the changes you want to make.
License
This project is licensed under the MIT License.
Contact
If you have any questions, please feel free to post an issue.
Release files for ccnuacm-datamocker 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ccnuacm_datamocker-0.0.6.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ccnuacm_datamocker-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / ccnuacm_datamocker-0.0.6.tar.gz
| Download URL | ccnuacm_datamocker-0.0.6.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|
Release files / ccnuacm_datamocker-0.0.6-py3-none-any.whl
| Download URL | ccnuacm_datamocker-0.0.6-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
bbd491f469be8eacf706f11349ea959e4519ffc1561e57e72a1e3eb504ed4d02
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|