repo_id stringlengths 6 101 | file_path stringlengths 2 269 | content stringlengths 367 5.14M | size int64 367 5.14M | filename stringlengths 1 248 | ext stringlengths 0 87 | lang stringclasses 88
values | program_lang stringclasses 232
values | doc_type stringclasses 5
values | quality_signal stringlengths 2 1.9k | effective stringclasses 2
values | hit_map stringlengths 2 1.4k |
|---|---|---|---|---|---|---|---|---|---|---|---|
0015/ChatGPT_Client_For_Arduino | README.md | ## Overview
The ChatGPT Arduino Library provides a convenient way to interact with the OpenAI GPT models from Arduino environments, such as ESP32 devices. With this library, you can easily send text and vision queries to the ChatGPT API and receive responses directly in your Arduino projects.
## Features
- **Text Gene... | 6,552 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0042735, "qsc_doc_frac_words_redpajama_stop": 0.18278805, "qsc_doc_num_sentences": 102.0, "qsc_doc_num_words": 921, "qsc_doc_num_chars": 6552.0, "qsc_doc_num_lines": 178.0, "qsc_doc_mean_word_length": 5.00217155, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
0015/ChatGPT_Client_For_Arduino | src/ChatGPT.hpp | /*
* Project ChatGPT Client
* Description: The official method using API Key for communication with ChatGPT
* Author: Eric Nam
* Date: 07-17-2024
*/
#ifndef __CHATGPT__
#define __CHATGPT__
template <class T>
class ChatGPT
{
public:
/*
* Description:
* Constructor for the ChatGPT class.
*
* Paramete... | 10,335 | ChatGPT | hpp | en | cpp | code | {"qsc_code_num_words": 1243, "qsc_code_num_chars": 10335.0, "qsc_code_mean_word_length": 4.84151247, "qsc_code_frac_words_unique": 0.19227675, "qsc_code_frac_chars_top_2grams": 0.04785643, "qsc_code_frac_chars_top_3grams": 0.01994018, "qsc_code_frac_chars_top_4grams": 0.01329345, "qsc_code_frac_chars_dupe_5grams": 0.43... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ChatGPT_Client_For_Arduino | examples/Arduino_SSLClient/Base64ImageData.h | #ifndef BASE64_IMAGE_DATA_H
#define BASE64_IMAGE_DATA_H
// The image is a solid red color.
const char* base64ImageData = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD//gATQ3JlYXRlZCB3aXRoIEdJTVD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFB... | 1,076 | Base64ImageData | h | en | c | code | {"qsc_code_num_words": 88, "qsc_code_num_chars": 1076.0, "qsc_code_mean_word_length": 11.03409091, "qsc_code_frac_words_unique": 0.51136364, "qsc_code_frac_chars_top_2grams": 0.09886715, "qsc_code_frac_chars_top_3grams": 0.12358393, "qsc_code_frac_chars_top_4grams": 0.1853759, "qsc_code_frac_chars_dupe_5grams": 0.09886... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ChatGPT_Client_For_Arduino | examples/Arduino_SSLClient/Arduino_SSLClient.ino | /*
* Project ChatGPT Client For Arduino (Arduino Giga R1, Arduino Portenta H7)
* Description: For HTTPS connection using Arduino WiFiSSLClient
* Author: Eric Nam
* Date: 07-17-2024
*/
#include <WiFi.h>
#include <WiFiSSLClient.h>
#include <ArduinoJson.h>
#include <ChatGPT.hpp>
#include "Base64ImageData.h"
static ... | 4,453 | Arduino_SSLClient | ino | en | cpp | code | {"qsc_code_num_words": 622, "qsc_code_num_chars": 4453.0, "qsc_code_mean_word_length": 4.93247588, "qsc_code_frac_words_unique": 0.30385852, "qsc_code_frac_chars_top_2grams": 0.05508475, "qsc_code_frac_chars_top_3grams": 0.03520209, "qsc_code_frac_chars_top_4grams": 0.01694915, "qsc_code_frac_chars_dupe_5grams": 0.4602... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ChatGPT_Client_For_Arduino | examples/ESP32_WiFiClientSecure/Base64ImageData.h | #ifndef BASE64_IMAGE_DATA_H
#define BASE64_IMAGE_DATA_H
// The image is a solid red color.
const char* base64ImageData = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD//gATQ3JlYXRlZCB3aXRoIEdJTVD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFB... | 1,076 | Base64ImageData | h | en | c | code | {"qsc_code_num_words": 88, "qsc_code_num_chars": 1076.0, "qsc_code_mean_word_length": 11.03409091, "qsc_code_frac_words_unique": 0.51136364, "qsc_code_frac_chars_top_2grams": 0.09886715, "qsc_code_frac_chars_top_3grams": 0.12358393, "qsc_code_frac_chars_top_4grams": 0.1853759, "qsc_code_frac_chars_dupe_5grams": 0.09886... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ChatGPT_Client_For_Arduino | examples/ESP32_WiFiClientSecure/ESP32_WiFiClientSecure.ino | /*
* Project ChatGPT Client For ESP32
* Description: For HTTPS connection using WiFiClientSecure
* Author: Eric Nam
* Date: 07-17-2024
*/
#include <WiFi.h>
#include <WiFiClientSecure.h>
#include <ArduinoJson.h>
#include <ChatGPT.hpp>
#include "Base64ImageData.h"
static const char *ssid = "<WIFI_SSID>";
static co... | 4,002 | ESP32_WiFiClientSecure | ino | en | cpp | code | {"qsc_code_num_words": 548, "qsc_code_num_chars": 4002.0, "qsc_code_mean_word_length": 5.04744526, "qsc_code_frac_words_unique": 0.29744526, "qsc_code_frac_chars_top_2grams": 0.06109906, "qsc_code_frac_chars_top_3grams": 0.03904555, "qsc_code_frac_chars_top_4grams": 0.01879971, "qsc_code_frac_chars_dupe_5grams": 0.5104... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ChatGPT_Client_For_Arduino | examples/Arduino_BearSSLExample/Base64ImageData.h | #ifndef BASE64_IMAGE_DATA_H
#define BASE64_IMAGE_DATA_H
// The image is a solid red color.
const char* base64ImageData = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD//gATQ3JlYXRlZCB3aXRoIEdJTVD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFB... | 1,076 | Base64ImageData | h | en | c | code | {"qsc_code_num_words": 88, "qsc_code_num_chars": 1076.0, "qsc_code_mean_word_length": 11.03409091, "qsc_code_frac_words_unique": 0.51136364, "qsc_code_frac_chars_top_2grams": 0.09886715, "qsc_code_frac_chars_top_3grams": 0.12358393, "qsc_code_frac_chars_top_4grams": 0.1853759, "qsc_code_frac_chars_dupe_5grams": 0.09886... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ChatGPT_Client_For_Arduino | examples/Arduino_BearSSLExample/Arduino_BearSSLExample.ino | /*
* Project ChatGPT Client For Arduino
* Description: For HTTPS connection using ArduinoBearSSL
* Author: Eric Nam
* Date: 07-17-2024
*/
//#define ARDUINO_DISABLE_ECCX08
#include <ArduinoBearSSL.h>
#include <WiFi.h>
#include <ArduinoJson.h>
#include <ChatGPT.hpp>
#include "Base64ImageData.h"
static const char *... | 4,223 | Arduino_BearSSLExample | ino | en | cpp | code | {"qsc_code_num_words": 579, "qsc_code_num_chars": 4223.0, "qsc_code_mean_word_length": 5.07599309, "qsc_code_frac_words_unique": 0.31433506, "qsc_code_frac_chars_top_2grams": 0.01871385, "qsc_code_frac_chars_top_3grams": 0.03674719, "qsc_code_frac_chars_top_4grams": 0.01769309, "qsc_code_frac_chars_dupe_5grams": 0.4933... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/juumla | CHANGELOG.md | # 🎉 0.1.6 - 02/05/2024
- Added check to config and backup files scanner if result is not HTML response
- Changed print to console.print from rich
- Changed interface
- Improved the code
<br><br>
# 🎉 0.1.5 - 08/07/2023
- Improved the code
- Fixed error when trying to get Joomla version on get_version_second() func
-... | 1,350 | CHANGELOG | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.13961039, "qsc_doc_num_sentences": 15.0, "qsc_doc_num_words": 223, "qsc_doc_num_chars": 1350.0, "qsc_doc_num_lines": 48.0, "qsc_doc_mean_word_length": 4.52914798, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmor... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
000pp/juumla | README.md | # 🦁 Juumla
<div align="center">
<img src="https://i.imgur.com/0RvLKOP.png" width="900">
</div>
<br>
<p align="center">
<img src="https://img.shields.io/github/license/oppsec/juumla?color=yellow&logo=github&style=for-the-badge">
<img src="https://img.shields.io/github/issues/oppsec/juumla?color=yellow&log... | 2,752 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.14088398, "qsc_doc_num_sentences": 56.0, "qsc_doc_num_words": 444, "qsc_doc_num_chars": 2752.0, "qsc_doc_num_lines": 97.0, "qsc_doc_mean_word_length": 4.49774775, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmor... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
000pp/juumla | src/juumla/main.py | from requests import get, exceptions
from rich.console import Console
console = Console()
from urllib3 import disable_warnings
disable_warnings()
from src.juumla.settings import props
from src.juumla.modules.version import get_version
def perform_checks(args) -> None:
" Connect to the target and check if statu... | 1,339 | main | py | en | python | code | {"qsc_code_num_words": 168, "qsc_code_num_chars": 1339.0, "qsc_code_mean_word_length": 5.13690476, "qsc_code_frac_words_unique": 0.43452381, "qsc_code_frac_chars_top_2grams": 0.05793743, "qsc_code_frac_chars_top_3grams": 0.04519119, "qsc_code_frac_chars_top_4grams": 0.03707995, "qsc_code_frac_chars_dupe_5grams": 0.0, "... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/juumla | src/juumla/modules/version.py | from requests import get, exceptions
from xmltodict import parse, expat
from rich.console import Console
console = Console()
from urllib3 import disable_warnings
disable_warnings()
from src.juumla.settings import props
from src.juumla.modules.vulns import vuln_manager
app_xml_header = "application/xml"
text_xml_hea... | 2,160 | version | py | en | python | code | {"qsc_code_num_words": 273, "qsc_code_num_chars": 2160.0, "qsc_code_mean_word_length": 5.04395604, "qsc_code_frac_words_unique": 0.31501832, "qsc_code_frac_chars_top_2grams": 0.08496732, "qsc_code_frac_chars_top_3grams": 0.04647785, "qsc_code_frac_chars_top_4grams": 0.03631082, "qsc_code_frac_chars_dupe_5grams": 0.4778... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/juumla | src/juumla/modules/files.py | from requests import get, exceptions
from rich.console import Console
console = Console()
from src.juumla.settings import props
def file_scan(file_to_check: str, file_url: str) -> None:
try:
response = get(f"{file_url}/{file_to_check}", **props)
if response.ok and 'text/html' not in response.head... | 4,744 | files | py | en | python | code | {"qsc_code_num_words": 719, "qsc_code_num_chars": 4744.0, "qsc_code_mean_word_length": 4.57162726, "qsc_code_frac_words_unique": 0.1488178, "qsc_code_frac_chars_top_2grams": 0.05749924, "qsc_code_frac_chars_top_3grams": 0.01186492, "qsc_code_frac_chars_top_4grams": 0.01521144, "qsc_code_frac_chars_dupe_5grams": 0.05506... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000JustMe/PewCrypt | Decrypter/src/main/Decrypter.java | package main;
import java.util.Base64;
import javax.crypto.BadPaddingException;
import javax.crypto.Cipher;
import javax.crypto.IllegalBlockSizeException;
import javax.crypto.NoSuchPaddingException;
import javax.crypto.spec.SecretKeySpec;
import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
i... | 4,434 | Decrypter | java | en | java | code | {"qsc_code_num_words": 348, "qsc_code_num_chars": 4434.0, "qsc_code_mean_word_length": 10.53448276, "qsc_code_frac_words_unique": 0.4454023, "qsc_code_frac_chars_top_2grams": 0.03000546, "qsc_code_frac_chars_top_3grams": 0.03436989, "qsc_code_frac_chars_top_4grams": 0.01200218, "qsc_code_frac_chars_dupe_5grams": 0.0147... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000JustMe/PewCrypt | Encryptor/src/main/Scraper.java | package main;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URL;
import java.net.URLConnection;
public class Scraper {
public Scraper() {
}
public int getPewdiepieCount() {
try {
return this.parseJson(this.getJson("https://www.googleapis.com/youtube/v3/channels?part=s... | 1,533 | Scraper | java | en | java | code | {"qsc_code_num_words": 159, "qsc_code_num_chars": 1533.0, "qsc_code_mean_word_length": 6.45283019, "qsc_code_frac_words_unique": 0.49685535, "qsc_code_frac_chars_top_2grams": 0.03898635, "qsc_code_frac_chars_top_3grams": 0.02339181, "qsc_code_frac_chars_top_4grams": 0.04288499, "qsc_code_frac_chars_dupe_5grams": 0.4132... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000JustMe/PewCrypt | Encryptor/src/main/FileItter.java | package main;
import java.io.File;
import java.util.ArrayList;
public class FileItter {
/*
* Class constructor will iterate though target paths Function itterFiles
* recursively walks directory finding files Function getPaths to access paths
* found and encrypt-able
*/
private ArrayList<String> paths;
pr... | 1,300 | FileItter | java | en | java | code | {"qsc_code_num_words": 154, "qsc_code_num_chars": 1300.0, "qsc_code_mean_word_length": 5.48051948, "qsc_code_frac_words_unique": 0.41558442, "qsc_code_frac_chars_top_2grams": 0.08293839, "qsc_code_frac_chars_top_3grams": 0.06398104, "qsc_code_frac_chars_top_4grams": 0.03317536, "qsc_code_frac_chars_dupe_5grams": 0.0402... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/cluster_viewer/image.py | import random
import matplotlib
matplotlib.use('Qt5Agg') # noqa
from matplotlib import pyplot as plt
from matplotlib import gridspec
from vizuka.cluster_viewer.plotter import Plotter
class RandomImages(Plotter):
@classmethod
def get_help(self):
h = "Use it to display 25 randomly selected images"
... | 1,240 | image | py | en | python | code | {"qsc_code_num_words": 156, "qsc_code_num_chars": 1240.0, "qsc_code_mean_word_length": 4.65384615, "qsc_code_frac_words_unique": 0.50641026, "qsc_code_frac_chars_top_2grams": 0.02479339, "qsc_code_frac_chars_top_3grams": 0.05509642, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_cod... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/cluster_viewer/density.py | import numpy as np
import matplotlib
matplotlib.use('Qt5Agg') # noqa
from matplotlib import pyplot as plt
from vizuka.cluster_viewer.plotter import Plotter
class Density(Plotter):
@classmethod
def get_help(self):
h = "Use it to display the distribution of *numerical* values"
return h
de... | 2,058 | density | py | en | python | code | {"qsc_code_num_words": 279, "qsc_code_num_chars": 2058.0, "qsc_code_mean_word_length": 4.21146953, "qsc_code_frac_words_unique": 0.29390681, "qsc_code_frac_chars_top_2grams": 0.0306383, "qsc_code_frac_chars_top_3grams": 0.0306383, "qsc_code_frac_chars_top_4grams": 0.04085106, "qsc_code_frac_chars_dupe_5grams": 0.851063... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc... |
0011001011/vizuka | vizuka/cluster_viewer/counter.py | from collections import Counter as pyCounter
import numpy as np
import matplotlib
matplotlib.use('Qt5Agg') # noqa
from matplotlib import pyplot as plt
from vizuka.cluster_viewer.plotter import Plotter
class Counter(Plotter):
@classmethod
def get_help(self):
h = "Use it to display a counter, for *ca... | 1,199 | counter | py | en | python | code | {"qsc_code_num_words": 173, "qsc_code_num_chars": 1199.0, "qsc_code_mean_word_length": 4.05780347, "qsc_code_frac_words_unique": 0.46242775, "qsc_code_frac_chars_top_2grams": 0.02564103, "qsc_code_frac_chars_top_3grams": 0.02136752, "qsc_code_frac_chars_top_4grams": 0.02991453, "qsc_code_frac_chars_dupe_5grams": 0.0341... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/example/load_mnist.py | import os
import shutil
import sklearn.datasets as dt
import sklearn.preprocessing as pr
from sklearn.linear_model import LogisticRegression
import numpy as np
from vizuka.config import (
DATA_PATH,
MODEL_PATH,
RAW_NAME,
INPUT_FILE_BASE_NAME,
REDUCED_DATA_PATH,
)
pred... | 1,540 | load_mnist | py | en | python | code | {"qsc_code_num_words": 191, "qsc_code_num_chars": 1540.0, "qsc_code_mean_word_length": 4.59162304, "qsc_code_frac_words_unique": 0.39790576, "qsc_code_frac_chars_top_2grams": 0.04561003, "qsc_code_frac_chars_top_3grams": 0.04561003, "qsc_code_frac_chars_top_4grams": 0.04446978, "qsc_code_frac_chars_dupe_5grams": 0.0900... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/helpers/ml_helper.py | """
Cool functions for ML
"""
import math
import numpy as np
def entropy(my_dic):
"""
StraightForward entropy calculation
:param my_dict: dict of occurence of different classes
:return: discrete entropy calculation
"""
effectif_total = sum(my_dic.values())
s = 0
for effectif in my_dic.... | 1,271 | ml_helper | py | en | python | code | {"qsc_code_num_words": 152, "qsc_code_num_chars": 1271.0, "qsc_code_mean_word_length": 5.71710526, "qsc_code_frac_words_unique": 0.38157895, "qsc_code_frac_chars_top_2grams": 0.10586881, "qsc_code_frac_chars_top_3grams": 0.02531646, "qsc_code_frac_chars_top_4grams": 0.08745685, "qsc_code_frac_chars_dupe_5grams": 0.1196... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/helpers/viz_helper.py | """
Some uninteresting functions you need for the vizualization objects
"""
import math
import logging
import matplotlib
import numpy as np
def remove_pathCollection(ax):
for child in ax.get_children():
if isinstance(child, matplotlib.collections.PathCollection):
child.remove()
def find_gri... | 7,309 | viz_helper | py | en | python | code | {"qsc_code_num_words": 932, "qsc_code_num_chars": 7309.0, "qsc_code_mean_word_length": 4.72317597, "qsc_code_frac_words_unique": 0.17381974, "qsc_code_frac_chars_top_2grams": 0.06746933, "qsc_code_frac_chars_top_3grams": 0.0617901, "qsc_code_frac_chars_top_4grams": 0.07632894, "qsc_code_frac_chars_dupe_5grams": 0.39913... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/plugins/heatmap/How_to_add_heatmap.py | ##################################################################
#
# HOW TO ADD A CUSTOM HEATMAP ?
###############################
#
#
# This one plugin is a headache to implements : actually you will need
# to request some variable from the Vizualization object (good luck!)
#
# You can define here a heatmap, its nam... | 3,914 | How_to_add_heatmap | py | en | python | code | {"qsc_code_num_words": 434, "qsc_code_num_chars": 3914.0, "qsc_code_mean_word_length": 5.1797235, "qsc_code_frac_words_unique": 0.33410138, "qsc_code_frac_chars_top_2grams": 0.02001779, "qsc_code_frac_chars_top_3grams": 0.03914591, "qsc_code_frac_chars_top_4grams": 0.0480427, "qsc_code_frac_chars_dupe_5grams": 0.147241... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/plugins/clustering/How_to_add_a_clustering_engine.py | ###########################################################################################
#
# How to add a clustering engine ?
#
##################################
#
# Simply creates a class in a new module that
# implements vizuka.clustering.clusterizer.Clusterizer
#
# Below is a simple example, with kmeans.
# If yo... | 1,679 | How_to_add_a_clustering_engine | py | en | python | code | {"qsc_code_num_words": 170, "qsc_code_num_chars": 1679.0, "qsc_code_mean_word_length": 5.19411765, "qsc_code_frac_words_unique": 0.51764706, "qsc_code_frac_chars_top_2grams": 0.05436014, "qsc_code_frac_chars_top_3grams": 0.10872027, "qsc_code_frac_chars_top_4grams": 0.06795017, "qsc_code_frac_chars_dupe_5grams": 0.0815... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ESP32-OV5640-AF | examples/OV5640_Console_Test/OV5640_Console_Test.ino | #include "esp_camera.h"
#include "ESP32_OV5640_AF.h"
// ESP32 AI-THINKER Board
#define PWDN_GPIO_NUM 32
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 0
#define SIOD_GPIO_NUM 26
#define SIOC_GPIO_NUM 27
#define Y9_GPIO_NUM 35
#define Y8_GPIO_NUM 34
#define Y7_GPIO_NUM 39
#define Y6_GPIO_NUM 36
#define Y5_GPIO_NUM 21... | 2,478 | OV5640_Console_Test | ino | en | cpp | code | {"qsc_code_num_words": 396, "qsc_code_num_chars": 2478.0, "qsc_code_mean_word_length": 4.12121212, "qsc_code_frac_words_unique": 0.33585859, "qsc_code_frac_chars_top_2grams": 0.1372549, "qsc_code_frac_chars_top_3grams": 0.12745098, "qsc_code_frac_chars_top_4grams": 0.14705882, "qsc_code_frac_chars_dupe_5grams": 0.08762... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/Apepe | README.md | # 📲 Apepe
> 📲 Enumerate information from an app based on the APK file
<div align="center">
<img src="https://i.imgur.com/0qh6sHq.jpg" width="850">
</div>
<br>
<p align="center">
<img src="https://img.shields.io/github/license/oppsec/Apepe?color=orange&logo=github&logoColor=orange&style=for-the-badge">
<im... | 1,984 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.16283525, "qsc_doc_num_sentences": 40.0, "qsc_doc_num_words": 327, "qsc_doc_num_chars": 1984.0, "qsc_doc_num_lines": 63.0, "qsc_doc_mean_word_length": 4.47094801, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmor... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
000pp/Apepe | src/apepe/main.py | from rich.console import Console
console = Console()
from os import path, chdir
from pathlib import Path
from zipfile import ZipFile, BadZipFile
from shutil import rmtree
from androguard.core.apk import APK
from androguard.core.dex import DEX
from src.apepe.modules.suggest import suggest_sslpinning
from src.apepe.mod... | 5,812 | main | py | en | python | code | {"qsc_code_num_words": 744, "qsc_code_num_chars": 5812.0, "qsc_code_mean_word_length": 4.84811828, "qsc_code_frac_words_unique": 0.23790323, "qsc_code_frac_chars_top_2grams": 0.07984475, "qsc_code_frac_chars_top_3grams": 0.05045744, "qsc_code_frac_chars_top_4grams": 0.01774328, "qsc_code_frac_chars_dupe_5grams": 0.1835... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/Apepe | src/apepe/modules/deeplink.py | import json
import re
from rich.console import Console
console = Console()
from pathlib import Path
from androguard.core.dex import DEX
from androguard.core.apk import APK
from lxml.etree import tostring
DEEPLINK_PATTERN = r'\b\w+://[^\s]+'
def dex_handler(file_path: Path) -> list:
"""
Extract readable st... | 4,821 | deeplink | py | en | python | code | {"qsc_code_num_words": 587, "qsc_code_num_chars": 4821.0, "qsc_code_mean_word_length": 4.58943782, "qsc_code_frac_words_unique": 0.2197615, "qsc_code_frac_chars_top_2grams": 0.04157387, "qsc_code_frac_chars_top_3grams": 0.02895323, "qsc_code_frac_chars_top_4grams": 0.0237565, "qsc_code_frac_chars_dupe_5grams": 0.346325... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/Apepe | src/apepe/modules/exported.py | from rich.console import Console
console = Console()
def exported(target) -> None:
"""
Lists activities, services, receivers, and providers from AndroidManifest.xml file.
"""
manifest = target.get_android_manifest_xml()
endpoints = ["activity", "service", "receiver", "provider"]
for endpoint ... | 1,131 | exported | py | en | python | code | {"qsc_code_num_words": 126, "qsc_code_num_chars": 1131.0, "qsc_code_mean_word_length": 5.43650794, "qsc_code_frac_words_unique": 0.45238095, "qsc_code_frac_chars_top_2grams": 0.05255474, "qsc_code_frac_chars_top_3grams": 0.05693431, "qsc_code_frac_chars_top_4grams": 0.06131387, "qsc_code_frac_chars_dupe_5grams": 0.1284... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/tomcter | README.md | # 😹 Tomcter
> Stealing credentials from a yellow cat
<div align="center">
<img src="https://i.imgur.com/ePw5RQ5.png">
</div>
<br>
<p align="center">
<img src="https://img.shields.io/github/license/oppsec/tomcter?color=yellow&logo=github&logoColor=yellow&style=for-the-badge">
<img src="https://img.shield... | 2,320 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.13365539, "qsc_doc_num_sentences": 48.0, "qsc_doc_num_words": 373, "qsc_doc_num_chars": 2320.0, "qsc_doc_num_lines": 80.0, "qsc_doc_mean_word_length": 4.56032172, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmor... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
000pp/tomcter | src/core/manager.py | from random import choice
def get_file_data(path) -> str:
" Return the content inside text file "
with open(path) as file:
return file.read()
def get_usernames() -> list:
" Get all usernames inside usernames.txt file "
raw = get_file_data('src/core/data/usernames.txt')
raw = raw.split('... | 1,031 | manager | py | en | python | code | {"qsc_code_num_words": 143, "qsc_code_num_chars": 1031.0, "qsc_code_mean_word_length": 4.48951049, "qsc_code_frac_words_unique": 0.31468531, "qsc_code_frac_chars_top_2grams": 0.14018692, "qsc_code_frac_chars_top_3grams": 0.08099688, "qsc_code_frac_chars_top_4grams": 0.08411215, "qsc_code_frac_chars_dupe_5grams": 0.1838... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/tomcter | src/core/bruteforce.py | from requests import get
from base64 import b64encode
from time import sleep
from rich.console import Console
console = Console()
from urllib3 import disable_warnings
disable_warnings()
from src.core.manager import props, get_usernames, get_passwords
def check_and_connect(target):
url: str = f"{target}/manager/... | 2,234 | bruteforce | py | en | python | code | {"qsc_code_num_words": 277, "qsc_code_num_chars": 2234.0, "qsc_code_mean_word_length": 4.99638989, "qsc_code_frac_words_unique": 0.34296029, "qsc_code_frac_chars_top_2grams": 0.07947977, "qsc_code_frac_chars_top_3grams": 0.06575145, "qsc_code_frac_chars_top_4grams": 0.04552023, "qsc_code_frac_chars_dupe_5grams": 0.2471... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/batch_operations.rs | /**
* Batch Operations Module
*
* Provides efficient batch operations for database operations to improve performance
* when dealing with multiple mistakes, chat messages, or other bulk operations.
*/
use anyhow::Result;
use rusqlite::{Connection, params};
use chrono::Utc;
use crate::models::{MistakeItem, ChatMes... | 16,531 | batch_operations | rs | en | rust | code | {"qsc_code_num_words": 1776, "qsc_code_num_chars": 16531.0, "qsc_code_mean_word_length": 4.85923423, "qsc_code_frac_words_unique": 0.13738739, "qsc_code_frac_chars_top_2grams": 0.01390498, "qsc_code_frac_chars_top_3grams": 0.01390498, "qsc_code_frac_chars_top_4grams": 0.01054461, "qsc_code_frac_chars_dupe_5grams": 0.47... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/RPI-Projects | WIFI Streaming Camera/0.RPI_Scripts/connect_cam.sh | #!/bin/bash
# Set the WiFi SSID and password
SSID="AMB82-Mini"
PASSWORD="Password"
# Path to the wpa_supplicant configuration file
WPA_CONF_FILE="/etc/wpa_supplicant/wpa_supplicant.conf"
# Add network configuration to wpa_supplicant configuration file
# This part needs to run with root privileges
echo "network={" >>... | 1,417 | connect_cam | sh | en | shell | code | {"qsc_code_num_words": 206, "qsc_code_num_chars": 1417.0, "qsc_code_mean_word_length": 4.7961165, "qsc_code_frac_words_unique": 0.43203883, "qsc_code_frac_chars_top_2grams": 0.06578947, "qsc_code_frac_chars_top_3grams": 0.05566802, "qsc_code_frac_chars_top_4grams": 0.04554656, "qsc_code_frac_chars_dupe_5grams": 0.03846... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000ylop/galgame_cn | generate_list/src/main.rs | use std::fs::{self, OpenOptions};
use std::io::{BufWriter, Write};
use std::path::PathBuf;
use std::time::Duration;
use playwright::Playwright;
use std::sync::Arc;
use tokio::task::JoinSet;
#[tokio::main]
async fn main() -> anyhow::Result<()> {
let Args {
sites,
output,
proxy,
} = Args... | 4,474 | main | rs | en | rust | code | {"qsc_code_num_words": 505, "qsc_code_num_chars": 4474.0, "qsc_code_mean_word_length": 4.90693069, "qsc_code_frac_words_unique": 0.4, "qsc_code_frac_chars_top_2grams": 0.01937046, "qsc_code_frac_chars_top_3grams": 0.0157385, "qsc_code_frac_chars_top_4grams": 0.02179177, "qsc_code_frac_chars_dupe_5grams": 0.11783697, "q... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/analysis_service.rs | use crate::models::{ChatMessage, MistakeItem};
use crate::llm_manager::LLMManager;
use crate::database::Database;
use anyhow::Result;
use serde_json::json;
use std::collections::HashMap;
use std::sync::Arc;
use tauri::Window;
// 分析结果结构
#[derive(Debug, Clone)]
pub struct AnalysisResult {
pub ocr_text: String,
p... | 9,124 | analysis_service | rs | en | rust | code | {"qsc_code_num_words": 949, "qsc_code_num_chars": 9124.0, "qsc_code_mean_word_length": 5.39093783, "qsc_code_frac_words_unique": 0.21812434, "qsc_code_frac_chars_top_2grams": 0.03518374, "qsc_code_frac_chars_top_3grams": 0.03049257, "qsc_code_frac_chars_top_4grams": 0.02345582, "qsc_code_frac_chars_dupe_5grams": 0.5146... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/database_optimizations.rs | /**
* Database Optimization Module
*
* Provides optimized database query functions for better performance,
* especially for tag filtering and complex search operations.
*/
use anyhow::Result;
use rusqlite::Connection;
use chrono::{Utc, DateTime};
use crate::models::MistakeItem;
use std::collections::HashMap;
pu... | 20,046 | database_optimizations | rs | en | rust | code | {"qsc_code_num_words": 2215, "qsc_code_num_chars": 20046.0, "qsc_code_mean_word_length": 4.73589165, "qsc_code_frac_words_unique": 0.10158014, "qsc_code_frac_chars_top_2grams": 0.02230696, "qsc_code_frac_chars_top_3grams": 0.02402288, "qsc_code_frac_chars_top_4grams": 0.021449, "qsc_code_frac_chars_dupe_5grams": 0.6844... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/RPI-Projects | WIFI Streaming Camera/1.AMB82_RTSP_APMode/1.AMB82_RTSP_APMode.ino | /////////////////////////////////////////////////////////////////
/*
WiFi Streaming Camera for AMB32-Mini
For More Information: https://youtu.be/FEs1RIjfO3Y
Created by Eric N. (ThatProject)
*/
/////////////////////////////////////////////////////////////////
#include "WiFi.h"
#include "StreamIO.h"
#include "Vide... | 2,946 | 1.AMB82_RTSP_APMode | ino | en | cpp | code | {"qsc_code_num_words": 340, "qsc_code_num_chars": 2946.0, "qsc_code_mean_word_length": 5.70294118, "qsc_code_frac_words_unique": 0.36176471, "qsc_code_frac_chars_top_2grams": 0.05363589, "qsc_code_frac_chars_top_3grams": 0.01237751, "qsc_code_frac_chars_top_4grams": 0.02578649, "qsc_code_frac_chars_dupe_5grams": 0.0835... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/LVGL_Joystick | examples/espidf_example/sdkconfig | #
# Automatically generated file. DO NOT EDIT.
# Espressif IoT Development Framework (ESP-IDF) 5.3.0 Project Configuration
#
CONFIG_SOC_MPU_MIN_REGION_SIZE=0x20000000
CONFIG_SOC_MPU_REGIONS_MAX_NUM=8
CONFIG_SOC_ADC_SUPPORTED=y
CONFIG_SOC_UART_SUPPORTED=y
CONFIG_SOC_PCNT_SUPPORTED=y
CONFIG_SOC_PHY_SUPPORTED=y
CONFIG_SOC... | 77,022 | sdkconfig | en | unknown | unknown | {} | 0 | {} | |
0015/LVGL_Joystick | examples/espidf_example/sdkconfig.wt32sc01plus | #
# Automatically generated file. DO NOT EDIT.
# Espressif IoT Development Framework (ESP-IDF) 5.3.0 Project Configuration
#
CONFIG_SOC_MPU_MIN_REGION_SIZE=0x20000000
CONFIG_SOC_MPU_REGIONS_MAX_NUM=8
CONFIG_SOC_ADC_SUPPORTED=y
CONFIG_SOC_UART_SUPPORTED=y
CONFIG_SOC_PCNT_SUPPORTED=y
CONFIG_SOC_PHY_SUPPORTED=y
CONFIG_SOC... | 77,022 | sdkconfig | wt32sc01plus | en | unknown | unknown | {} | 0 | {} |
0011001011/vizuka | vizuka/graphics/qt_helpers.py | import matplotlib
matplotlib.use('Qt5Agg') # noqa
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import (
QApplication,
QMainWindo... | 6,593 | qt_helpers | py | en | python | code | {"qsc_code_num_words": 720, "qsc_code_num_chars": 6593.0, "qsc_code_mean_word_length": 5.92083333, "qsc_code_frac_words_unique": 0.24305556, "qsc_code_frac_chars_top_2grams": 0.01125968, "qsc_code_frac_chars_top_3grams": 0.01759324, "qsc_code_frac_chars_top_4grams": 0.02580342, "qsc_code_frac_chars_dupe_5grams": 0.1764... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/graphics/drawing.py | """
Functions to draw things on some axes
Probably uninteresting
"""
from matplotlib import pyplot as plt
import matplotlib
import numpy as np
import logging
def draw_scatterplot_from_indexes(
indexes_to_display,
indexes_bad_predictions,
indexes_good_predictions,
indexes_special_predi... | 10,684 | drawing | py | en | python | code | {"qsc_code_num_words": 1263, "qsc_code_num_chars": 10684.0, "qsc_code_mean_word_length": 5.08392716, "qsc_code_frac_words_unique": 0.19873317, "qsc_code_frac_chars_top_2grams": 0.02382806, "qsc_code_frac_chars_top_3grams": 0.04983647, "qsc_code_frac_chars_top_4grams": 0.0523283, "qsc_code_frac_chars_dupe_5grams": 0.432... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/dimension_reduction/__init__.py | import pkgutil
import inspect
import importlib
from vizuka.dimension_reduction import (
projector,
pca,
tsne,
)
from vizuka.plugins import dimension_reduction as projector_plugins
def list_projectors():
"""
List all projector available (in vizuka/plugin/dimension_reduction
... | 1,408 | __init__ | py | en | python | code | {"qsc_code_num_words": 152, "qsc_code_num_chars": 1408.0, "qsc_code_mean_word_length": 5.99342105, "qsc_code_frac_words_unique": 0.36184211, "qsc_code_frac_chars_top_2grams": 0.09879254, "qsc_code_frac_chars_top_3grams": 0.07464325, "qsc_code_frac_chars_top_4grams": 0.07244786, "qsc_code_frac_chars_dupe_5grams": 0.1053... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/dimension_reduction/pca.py | """
Here is the code summoned to reduce the dimension of your
precious data, and also to load it.
We use t-SNE and, if you want, PCA just before it.
..note:: tSNE from sklearn is not the best but is standard
I suggest you to uncomment 'from MulticoreTSNE import TSNE as tsne'
as it will be much faster and won't crash i... | 2,845 | pca | py | en | python | code | {"qsc_code_num_words": 345, "qsc_code_num_chars": 2845.0, "qsc_code_mean_word_length": 4.94202899, "qsc_code_frac_words_unique": 0.37681159, "qsc_code_frac_chars_top_2grams": 0.11964809, "qsc_code_frac_chars_top_3grams": 0.08445748, "qsc_code_frac_chars_top_4grams": 0.13196481, "qsc_code_frac_chars_dupe_5grams": 0.1448... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/dimension_reduction/projector.py | import os
import logging
import numpy as np
from vizuka.config import (
VERSION,
REDUCED_DATA_PATH,
NAME_VALUE_SEPARATOR,
PARAMETERS_SEPARATOR,
)
class Projector():
def __init__(self):
"""
Instanciate a Projector engine, you should give it
... | 3,131 | projector | py | en | python | code | {"qsc_code_num_words": 338, "qsc_code_num_chars": 3131.0, "qsc_code_mean_word_length": 4.9704142, "qsc_code_frac_words_unique": 0.37869822, "qsc_code_frac_chars_top_2grams": 0.03214286, "qsc_code_frac_chars_top_3grams": 0.03571429, "qsc_code_frac_chars_top_4grams": 0.03928571, "qsc_code_frac_chars_dupe_5grams": 0.11845... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/dimension_reduction/tsne.py | import numpy as np
import logging
try:
from MulticoreTSNE import MulticoreTSNE as tsne_algorithm
using_multicore_tsne = True
multicore_parameters = {'n_jobs':3}
logging.info('dimension_reduction = Using fast tSNE')
except:
from sklearn.manifold import TSNE as tsne_algorithm
using_multicore_tsn... | 1,373 | tsne | py | en | python | code | {"qsc_code_num_words": 136, "qsc_code_num_chars": 1373.0, "qsc_code_mean_word_length": 5.93382353, "qsc_code_frac_words_unique": 0.40441176, "qsc_code_frac_chars_top_2grams": 0.07434944, "qsc_code_frac_chars_top_3grams": 0.08178439, "qsc_code_frac_chars_top_4grams": 0.06319703, "qsc_code_frac_chars_dupe_5grams": 0.1338... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/frontier/__init__.py | import os
import pkgutil
import inspect
import importlib
import pickle
from vizuka.frontier import (
similarity,
deterministic,
bhattacharyya,
)
from vizuka.plugins import frontier as frontier_plugins
def list_frontiers():
"""
List all frontiers available (in vizuka/plugin/fr... | 1,446 | __init__ | py | en | python | code | {"qsc_code_num_words": 140, "qsc_code_num_chars": 1446.0, "qsc_code_mean_word_length": 6.61428571, "qsc_code_frac_words_unique": 0.37142857, "qsc_code_frac_chars_top_2grams": 0.08099352, "qsc_code_frac_chars_top_3grams": 0.07343413, "qsc_code_frac_chars_top_4grams": 0.0712743, "qsc_code_frac_chars_dupe_5grams": 0.16090... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/cluster_viewer/__init__.py | import importlib
import pkgutil
import inspect
from vizuka.plugins import cluster_viewer as plotter_plugins
from vizuka.cluster_viewer import (
plotter,
image,
density,
counter,
#wordcloud,
)
def list_plotter():
built_in_plotters = {
'images': image.RandomImages,
'density': de... | 1,375 | __init__ | py | en | python | code | {"qsc_code_num_words": 143, "qsc_code_num_chars": 1375.0, "qsc_code_mean_word_length": 6.06293706, "qsc_code_frac_words_unique": 0.38461538, "qsc_code_frac_chars_top_2grams": 0.07497116, "qsc_code_frac_chars_top_3grams": 0.06920415, "qsc_code_frac_chars_top_4grams": 0.06920415, "qsc_code_frac_chars_dupe_5grams": 0.0968... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/blobber | README.md | <div align="center">
<img src="https://i.imgur.com/Y2XXof7.jpeg" width="900">
<br>
___
<br>
<img src="https://img.shields.io/github/license/oppsec/blobber?color=blue&logo=github&style=for-the-badge">
<img src="https://img.shields.io/github/issues/oppsec/blobber?color=blue&logo=github&style=for-the-badge">
<img src=... | 1,421 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.08715596, "qsc_doc_num_sentences": 29.0, "qsc_doc_num_words": 228, "qsc_doc_num_chars": 1421.0, "qsc_doc_num_lines": 53.0, "qsc_doc_mean_word_length": 4.46929825, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_readmor... | 0 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
000pp/blobber | src/blobber/main.py | from rich.console import Console
console = Console()
import argparse
from blobber.ui.banner import get_banner
from blobber.modules.status import request
from blobber.modules.blobs import blob_handler
def initialize() -> None:
""" Initiates Blobber """
get_banner()
parser = argparse.ArgumentParser(
... | 1,071 | main | py | en | python | code | {"qsc_code_num_words": 137, "qsc_code_num_chars": 1071.0, "qsc_code_mean_word_length": 5.16788321, "qsc_code_frac_words_unique": 0.51094891, "qsc_code_frac_chars_top_2grams": 0.05649718, "qsc_code_frac_chars_top_3grams": 0.05084746, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_cod... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/blobber | src/blobber/modules/blobs.py | """
This module aims to enumerate and get Name, Last-Modified, Content-Length and Content-Typpe blob value.
"""
from lxml import etree
from rich.console import Console
console = Console()
def blob_handler(content: str, file_filter: str) -> None:
try:
content_bytes = content.encode('utf-8')
root =... | 1,809 | blobs | py | en | python | code | {"qsc_code_num_words": 217, "qsc_code_num_chars": 1809.0, "qsc_code_mean_word_length": 4.64976959, "qsc_code_frac_words_unique": 0.33179724, "qsc_code_frac_chars_top_2grams": 0.08325074, "qsc_code_frac_chars_top_3grams": 0.03567889, "qsc_code_frac_chars_top_4grams": 0.0555005, "qsc_code_frac_chars_dupe_5grams": 0.32111... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/blobber | src/blobber/modules/status.py | """
This module checks the status from the Azure Container passed
"""
from rich.console import Console
console = Console()
from requests import get
from urllib3 import disable_warnings
disable_warnings()
from blobber.modules.errors import error_handler
def request(url: str) -> tuple:
"""
Perform a GET reques... | 1,092 | status | py | en | python | code | {"qsc_code_num_words": 136, "qsc_code_num_chars": 1092.0, "qsc_code_mean_word_length": 5.22058824, "qsc_code_frac_words_unique": 0.47058824, "qsc_code_frac_chars_top_2grams": 0.08450704, "qsc_code_frac_chars_top_3grams": 0.05492958, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_cod... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000pp/blobber | src/blobber/modules/errors.py | """
This module handle the common errors when interacting with Azure Blobs
"""
from rich.console import Console
console = Console()
from requests import get
from urllib3 import disable_warnings
disable_warnings()
errors_list = {
"InvalidQueryParameterValue": "Value for one of the query parameters specified in the... | 2,492 | errors | py | en | python | code | {"qsc_code_num_words": 263, "qsc_code_num_chars": 2492.0, "qsc_code_mean_word_length": 5.28897338, "qsc_code_frac_words_unique": 0.38403042, "qsc_code_frac_chars_top_2grams": 0.0690151, "qsc_code_frac_chars_top_3grams": 0.07476636, "qsc_code_frac_chars_top_4grams": 0.05751258, "qsc_code_frac_chars_dupe_5grams": 0.16966... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ESP32-OV5640-AF | README.md | [](https://www.ardu-badge.com/OV5640%20Auto%20Focus%20for%20ESP32%20Camera)
# Enable OV5640's autofocus function on ESP32 AI-THINKER Board
This library contains the necessary firmware and source code to enable t... | 2,676 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.00149477, "qsc_doc_frac_words_redpajama_stop": 0.19283276, "qsc_doc_num_sentences": 41.0, "qsc_doc_num_words": 413, "qsc_doc_num_chars": 2676.0, "qsc_doc_num_lines": 81.0, "qsc_doc_mean_word_length": 4.82566586, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
0015/ESP32-OV5640-AF | src/ESP32_OV5640_cfg.h | /*
ESP32_OV5640_cfg.h - Library for OV5640 Auto Focus (ESP32 Camera)
Created by Eric Nam, December 08, 2021.
Released into the public domain.
*/
#define OV5640_CHIPID_HIGH 0x300a
#define OV5640_CHIPID_LOW 0x300b
#define OV5640_CMD_MAIN 0x3022
#define OV5640_CMD_A... | 28,448 | ESP32_OV5640_cfg | h | en | c | code | {"qsc_code_num_words": 4475, "qsc_code_num_chars": 28448.0, "qsc_code_mean_word_length": 4.13586592, "qsc_code_frac_words_unique": 0.1249162, "qsc_code_frac_chars_top_2grams": 0.01210287, "qsc_code_frac_chars_top_3grams": 0.00842879, "qsc_code_frac_chars_top_4grams": 0.00778042, "qsc_code_frac_chars_dupe_5grams": 0.224... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/ESP32-OV5640-AF | src/ESP32_OV5640_AF.cpp | /*
ESP32_OV5640_AF.cpp - Library for OV5640 Auto Focus (ESP32 Camera)
Created by Eric Nam, December 08, 2021.
Released into the public domain.
*/
#include "ESP32_OV5640_AF.h"
OV5640::OV5640() {
isOV5640 = false;
}
bool OV5640::start(sensor_t* _sensor) {
sensor = _sensor;
uint8_t vid, pid;
vid = sensor-... | 2,413 | ESP32_OV5640_AF | cpp | en | cpp | code | {"qsc_code_num_words": 369, "qsc_code_num_chars": 2413.0, "qsc_code_mean_word_length": 4.100271, "qsc_code_frac_words_unique": 0.23306233, "qsc_code_frac_chars_top_2grams": 0.12491738, "qsc_code_frac_chars_top_3grams": 0.16853933, "qsc_code_frac_chars_top_4grams": 0.1784534, "qsc_code_frac_chars_dupe_5grams": 0.5955056... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/heatmap/__init__.py | import os
import pkgutil
import inspect
import importlib
import pickle
from vizuka.heatmap import heatmap
from vizuka.heatmap import accuracy
from vizuka.heatmap import entropy
from vizuka.plugins import heatmap as heatmap_plugins
def list_heatmap():
"""
List all the available heatmaps
First it looks in... | 1,622 | __init__ | py | en | python | code | {"qsc_code_num_words": 191, "qsc_code_num_chars": 1622.0, "qsc_code_mean_word_length": 5.64397906, "qsc_code_frac_words_unique": 0.37696335, "qsc_code_frac_chars_top_2grams": 0.03246753, "qsc_code_frac_chars_top_3grams": 0.05194805, "qsc_code_frac_chars_top_4grams": 0.06400742, "qsc_code_frac_chars_dupe_5grams": 0.1410... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/heatmap/entropy.py | import numpy as np
import logging
from vizuka.helpers.ml_helper import cross_entropy
from vizuka.heatmap import heatmap
class EntropyHeatmap(heatmap.Heatmap):
def __init__(self, vizualization):
self.update_colors(vizualization)
def get_all_colors(self):
"""
Returns all colors in a d... | 3,412 | entropy | py | en | python | code | {"qsc_code_num_words": 385, "qsc_code_num_chars": 3412.0, "qsc_code_mean_word_length": 5.23896104, "qsc_code_frac_words_unique": 0.3012987, "qsc_code_frac_chars_top_2grams": 0.01586515, "qsc_code_frac_chars_top_3grams": 0.02231036, "qsc_code_frac_chars_top_4grams": 0.02726822, "qsc_code_frac_chars_dupe_5grams": 0.18740... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/heatmap/accuracy.py | """
This module provides heatmaps to be drawn on the side of the main map.
Basically it takes a vizualization object and returns an array with
associated colors.
If you want to provide new ones dont forget to register them in qt_handler
"""
import logging
from vizuka.heatmap import heatmap
class AccuracyHeatmap(he... | 2,896 | accuracy | py | en | python | code | {"qsc_code_num_words": 349, "qsc_code_num_chars": 2896.0, "qsc_code_mean_word_length": 5.22063037, "qsc_code_frac_words_unique": 0.34670487, "qsc_code_frac_chars_top_2grams": 0.02469813, "qsc_code_frac_chars_top_3grams": 0.04829857, "qsc_code_frac_chars_top_4grams": 0.05927552, "qsc_code_frac_chars_dupe_5grams": 0.1816... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/clustering/__init__.py | import os
import pkgutil
import inspect
import importlib
import pickle
import logging
from vizuka.clustering import (
kMeans,
dbscan,
grid,
clusterizer,
)
from vizuka.plugins import clustering as clustering_plugins
def get_required_arguments(method_name):
if method_name=='... | 2,135 | __init__ | py | en | python | code | {"qsc_code_num_words": 230, "qsc_code_num_chars": 2135.0, "qsc_code_mean_word_length": 6.2173913, "qsc_code_frac_words_unique": 0.38695652, "qsc_code_frac_chars_top_2grams": 0.05874126, "qsc_code_frac_chars_top_3grams": 0.05314685, "qsc_code_frac_chars_top_4grams": 0.05034965, "qsc_code_frac_chars_dupe_5grams": 0.05034... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/clustering/grid.py | from scipy.spatial import cKDTree
from vizuka.clustering.clusterizer import Clusterizer
class DummyClusterizer(Clusterizer):
"""
The DummyClusterizer is a clustering engine which
return the index of your point in a big mesh.
Give it the resolution of your mesh and its amplitude,
it will center it... | 1,175 | grid | py | en | python | code | {"qsc_code_num_words": 159, "qsc_code_num_chars": 1175.0, "qsc_code_mean_word_length": 4.52830189, "qsc_code_frac_words_unique": 0.50943396, "qsc_code_frac_chars_top_2grams": 0.02222222, "qsc_code_frac_chars_top_3grams": 0.02777778, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_cod... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/clustering/clusterizer.py | '''
Clustering engine to use with Vizualization
If you want to implement one, dont forget to add it
on qt_handler, to be able to select on the IHM
Also, adds it in make_clusterizer obviously
3 methods are necessary to implement, cf Clusterizer():
init - set main params
fit - to prepare the algo for the... | 4,943 | clusterizer | py | en | python | code | {"qsc_code_num_words": 584, "qsc_code_num_chars": 4943.0, "qsc_code_mean_word_length": 4.73287671, "qsc_code_frac_words_unique": 0.35273973, "qsc_code_frac_chars_top_2grams": 0.02894356, "qsc_code_frac_chars_top_3grams": 0.03328509, "qsc_code_frac_chars_top_4grams": 0.02315485, "qsc_code_frac_chars_dupe_5grams": 0.1808... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/clustering/dbscan.py | import numpy as np
from matplotlib import pyplot as plt
from sklearn.cluster import DBSCAN
from scipy.spatial import cKDTree
import logging
from vizuka.clustering.clusterizer import Clusterizer
class DBSCANClusterizer(Clusterizer):
def __init__(self, epsilon=1.5, min_samples=30):
"""
Inits a DBS... | 3,430 | dbscan | py | en | python | code | {"qsc_code_num_words": 424, "qsc_code_num_chars": 3430.0, "qsc_code_mean_word_length": 4.48584906, "qsc_code_frac_words_unique": 0.36792453, "qsc_code_frac_chars_top_2grams": 0.02944269, "qsc_code_frac_chars_top_3grams": 0.02944269, "qsc_code_frac_chars_top_4grams": 0.02208202, "qsc_code_frac_chars_dupe_5grams": 0.2344... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0011001011/vizuka | vizuka/graphics/qt_handler.py | """
Qt handler for drawing buttons and IHM black magic.
Please do read it you fool. I must admit I am not
proud of everything written down there.
This should be rewritten with QtCreator's help.
"""
import sys
import logging
import os
import matplotlib
matplotlib.use('Qt5Agg') # noqa
from matplotlib.backends.backend_... | 22,929 | qt_handler | py | en | python | code | {"qsc_code_num_words": 2530, "qsc_code_num_chars": 22929.0, "qsc_code_mean_word_length": 5.27588933, "qsc_code_frac_words_unique": 0.15770751, "qsc_code_frac_chars_top_2grams": 0.02764459, "qsc_code_frac_chars_top_3grams": 0.02824393, "qsc_code_frac_chars_top_4grams": 0.02240036, "qsc_code_frac_chars_dupe_5grams": 0.34... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/chat-core/utils/streamHandler.ts | import { listen } from '@tauri-apps/api/event';
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id: string;
}
export class StreamHandler {
private listeners: Map<string, (chunk: StreamChunk) => void> = new Map();
private unlistenFunctions: Map<string, () => void> = new Map();
... | 2,365 | streamHandler | ts | en | typescript | code | {"qsc_code_num_words": 229, "qsc_code_num_chars": 2365.0, "qsc_code_mean_word_length": 6.22707424, "qsc_code_frac_words_unique": 0.38864629, "qsc_code_frac_chars_top_2grams": 0.05610098, "qsc_code_frac_chars_top_3grams": 0.05049088, "qsc_code_frac_chars_top_4grams": 0.04628331, "qsc_code_frac_chars_dupe_5grams": 0.0981... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/chat-core/utils/chatMessageConverter.ts | /**
* Chat Message Converter
*
* Utilities for converting between different chat message formats.
* Single responsibility: Message format conversion.
*/
export interface ChatMessage {
id: string;
role: 'user' | 'assistant' | 'system';
content: string;
thinking_content?: string;
timestamp?: string;
}
e... | 1,983 | chatMessageConverter | ts | en | typescript | code | {"qsc_code_num_words": 198, "qsc_code_num_chars": 1983.0, "qsc_code_mean_word_length": 6.7979798, "qsc_code_frac_words_unique": 0.30808081, "qsc_code_frac_chars_top_2grams": 0.12258544, "qsc_code_frac_chars_top_3grams": 0.0423477, "qsc_code_frac_chars_top_4grams": 0.05794948, "qsc_code_frac_chars_dupe_5grams": 0.264487... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/chat-core/utils/simplifiedApiAdapter.ts | /**
* Simplified API Adapter
*
* Replaces the complex aiSdkAdapter.ts with a simpler implementation
* that leverages the unified stream handler.
*/
import { invoke } from '@tauri-apps/api/core';
import { unifiedStreamHandler, StreamRequest, StreamOptions, StreamMessage as _StreamMessage } from './unifiedStreamHa... | 5,384 | simplifiedApiAdapter | ts | en | typescript | code | {"qsc_code_num_words": 478, "qsc_code_num_chars": 5384.0, "qsc_code_mean_word_length": 7.5083682, "qsc_code_frac_words_unique": 0.29288703, "qsc_code_frac_chars_top_2grams": 0.03761493, "qsc_code_frac_chars_top_3grams": 0.01225968, "qsc_code_frac_chars_top_4grams": 0.02786291, "qsc_code_frac_chars_dupe_5grams": 0.32906... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/chat-core/utils/aiSdkAdapter.ts | /**
* AI SDK Adapter for Tauri Backend
*
* Simplified adapter focused on AI SDK integration.
* Uses separated modules for stream handling and API communication.
*/
import { createAnalysisStream, createChatStream } from './tauriStreamAdapter';
import { tauriApiClient } from './tauriApiClient';
import { convertToT... | 3,037 | aiSdkAdapter | ts | en | typescript | code | {"qsc_code_num_words": 273, "qsc_code_num_chars": 3037.0, "qsc_code_mean_word_length": 7.91575092, "qsc_code_frac_words_unique": 0.41758242, "qsc_code_frac_chars_top_2grams": 0.05552985, "qsc_code_frac_chars_top_3grams": 0.01943545, "qsc_code_frac_chars_top_4grams": 0.02776492, "qsc_code_frac_chars_dupe_5grams": 0.0157... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/esp_rlottie | README.md | # IDF component for using rLottie in ESP32 projects
## Disclaimer
**This project is a forked version of the Samsung/rlottie project. Therefore, the source code used in this project also follows the original license. For more details, check this out. (https://github.com/Samsung/rlottie/)**
### What is Lottie?
Lottie i... | 5,975 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.00301255, "qsc_doc_frac_words_redpajama_stop": 0.24802111, "qsc_doc_num_sentences": 72.0, "qsc_doc_num_words": 913, "qsc_doc_num_chars": 5975.0, "qsc_doc_num_lines": 131.0, "qsc_doc_mean_word_length": 4.94304491, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with... | 1 | {"qsc_doc_frac_chars_replacement_symbols": 0, "qsc_doc_entropy_unigram": 0, "qsc_doc_frac_chars_top_2grams": 0, "qsc_doc_frac_chars_top_3grams": 0, "qsc_doc_frac_chars_top_4grams": 0, "qsc_doc_frac_chars_dupe_5grams": 0, "qsc_doc_frac_chars_dupe_6grams": 0, "qsc_doc_frac_chars_dupe_7grams": 0, "qsc_doc_frac_chars_dupe_... |
0015/esp_rlottie | rlottie/meson.build | project('rlottie',
'cpp',
default_options : ['cpp_std=c++14', 'optimization=s'],
version : '0.2',
license : 'MIT',
meson_version : '>=0.49',
)
add_project_arguments('-DDEMO_DIR="@0@/example/resource/"'.format(meson.current_source_dir()), language : 'cpp')
inc = [include... | 2,984 | meson | build | en | unknown | unknown | {} | 0 | {} |
000haoji/deep-student | src/chat-core/utils/unifiedStreamManager.ts | /**
* 统一流式处理管理器
*
* 替代项目中的多种流式处理实现，提供统一、一致的流式数据处理方案
* 支持所有现有的流式场景：分析、对话、回顾分析等
*/
import { listen } from '@tauri-apps/api/event';
import React from 'react';
export interface StreamChunk {
content: string;
is_complete: boolean;
chunk_id: string;
}
export interface StreamMessage {
id: string;
role: 'use... | 10,969 | unifiedStreamManager | ts | en | typescript | code | {"qsc_code_num_words": 866, "qsc_code_num_chars": 10969.0, "qsc_code_mean_word_length": 7.18937644, "qsc_code_frac_words_unique": 0.22863741, "qsc_code_frac_chars_top_2grams": 0.03340829, "qsc_code_frac_chars_top_3grams": 0.0258593, "qsc_code_frac_chars_top_4grams": 0.02601992, "qsc_code_frac_chars_dupe_5grams": 0.3302... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/chat-core/utils/tauriStreamAdapter.ts | /**
* Tauri Stream Adapter
*
* Focused adapter for converting Tauri backend streaming to standard streaming protocols.
* Single responsibility: Stream protocol conversion.
*/
import { invoke } from '@tauri-apps/api/core';
import { listen } from '@tauri-apps/api/event';
export interface StreamControllerManager {... | 6,043 | tauriStreamAdapter | ts | en | typescript | code | {"qsc_code_num_words": 542, "qsc_code_num_chars": 6043.0, "qsc_code_mean_word_length": 7.2601476, "qsc_code_frac_words_unique": 0.2601476, "qsc_code_frac_chars_top_2grams": 0.04320203, "qsc_code_frac_chars_top_3grams": 0.03456163, "qsc_code_frac_chars_top_4grams": 0.04726811, "qsc_code_frac_chars_dupe_5grams": 0.665311... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/LVGL_Joystick | examples/arduino_example/LGFX_WT32-SC01-Plus.h | #define LGFX_USE_V1
#include <LovyanGFX.hpp>
class LGFX : public lgfx::LGFX_Device {
lgfx::Panel_ST7796 _panel_instance;
lgfx::Bus_Parallel8 _bus_instance;
lgfx::Light_PWM _light_instance;
lgfx::Touch_FT5x06 _touch_instance;
public:
LGFX(void) {
{
auto cfg = _bus_instance.config();
cfg.freq_... | 1,870 | LGFX_WT32-SC01-Plus | h | en | c | code | {"qsc_code_num_words": 255, "qsc_code_num_chars": 1870.0, "qsc_code_mean_word_length": 3.96470588, "qsc_code_frac_words_unique": 0.37254902, "qsc_code_frac_chars_top_2grams": 0.10089021, "qsc_code_frac_chars_top_3grams": 0.13452028, "qsc_code_frac_chars_top_4grams": 0.0652819, "qsc_code_frac_chars_dupe_5grams": 0.08902... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/streaming_anki_service.rs | use crate::models::{
DocumentTask, TaskStatus, AnkiCard, AnkiGenerationOptions, AppError, StreamedCardPayload,
StreamEvent, SubjectConfig, FieldType, FieldExtractionRule
};
use crate::llm_manager::ApiConfig;
use crate::database::Database;
use crate::llm_manager::LLMManager;
use std::sync::Arc;
use uuid::Uuid;
... | 40,367 | streaming_anki_service | rs | en | rust | code | {"qsc_code_num_words": 3806, "qsc_code_num_chars": 40367.0, "qsc_code_mean_word_length": 4.95034157, "qsc_code_frac_words_unique": 0.15685759, "qsc_code_frac_chars_top_2grams": 0.03354387, "qsc_code_frac_chars_top_3grams": 0.02101799, "qsc_code_frac_chars_top_4grams": 0.01624118, "qsc_code_frac_chars_dupe_5grams": 0.38... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/gemini_adapter.rs | // src-tauri/src/gemini_adapter.rs
use crate::models::{AppError, ChatMessage, StandardModel2Output, StreamChunk};
use crate::llm_manager::ApiConfig;
use futures_util::StreamExt;
use reqwest::Client;
use serde_json::{json, Value};
use tauri::{Emitter, Window};
use std::time::Duration;
type Result<T> = std::result::Res... | 6,997 | gemini_adapter | rs | en | rust | code | {"qsc_code_num_words": 746, "qsc_code_num_chars": 6997.0, "qsc_code_mean_word_length": 5.06032172, "qsc_code_frac_words_unique": 0.24798928, "qsc_code_frac_chars_top_2grams": 0.02596026, "qsc_code_frac_chars_top_3grams": 0.01112583, "qsc_code_frac_chars_top_4grams": 0.02384106, "qsc_code_frac_chars_dupe_5grams": 0.3491... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/LVGL_Joystick | examples/arduino_example/arduino_example.ino | /*
This example is based on WT32-SC01-Plus in Arduino environment. The graphics library uses LovyanGFX.
$ Tested version
Arduino ESP32: 3.0.4
LVGL: 9.2.0
LovyanGFX: 1.1.16
*/
#include "LGFX_WT32-SC01-Plus.h"
#include <lvgl.h>
#include <lvgl_joystick.h>
static LGFX tft;
#define TFT_HOR_RES 320
#define TFT_VER_RES 48... | 3,446 | arduino_example | ino | en | cpp | code | {"qsc_code_num_words": 576, "qsc_code_num_chars": 3446.0, "qsc_code_mean_word_length": 4.01041667, "qsc_code_frac_words_unique": 0.30208333, "qsc_code_frac_chars_top_2grams": 0.03246753, "qsc_code_frac_chars_top_3grams": 0.01948052, "qsc_code_frac_chars_top_4grams": 0.01558442, "qsc_code_frac_chars_dupe_5grams": 0.1341... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/LVGL_Joystick | examples/espidf_example/main/main.c | /*
This example is based on WT32-SC01-Plus in ESP-IDF environment.
Using BSP-IDF5-ESP_LCD-LVGL9 [https://github.com/sukesh-ak/BSP-IDF5-ESP_LCD-LVGL9]
$ Tested version
ESP-IDF: 5.3.0
LVGL: 9.2.0
esp_lvgl_port: 2.3.1
esp_lcd_st7796: 1.3.0
esp_lcd_touch_ft5x06: 1.0.6
*/
#include <stdio.h>
#include <inttypes.h>
#include... | 10,838 | main | c | en | c | code | {"qsc_code_num_words": 1672, "qsc_code_num_chars": 10838.0, "qsc_code_mean_word_length": 3.8791866, "qsc_code_frac_words_unique": 0.1937799, "qsc_code_frac_chars_top_2grams": 0.05087882, "qsc_code_frac_chars_top_3grams": 0.04625347, "qsc_code_frac_chars_top_4grams": 0.02220167, "qsc_code_frac_chars_dupe_5grams": 0.1785... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/cogni_graph/models.rs | use serde::{Deserialize, Serialize};
use chrono::{DateTime, Utc};
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct ProblemCard {
pub id: String,
pub content_problem: String,
pub content_insight: String,
pub status: String, // 'unsolved', 'solved'
pub embedding: Option<Vec<f32>>,
pub c... | 5,045 | models | rs | en | rust | code | {"qsc_code_num_words": 543, "qsc_code_num_chars": 5045.0, "qsc_code_mean_word_length": 5.60405157, "qsc_code_frac_words_unique": 0.26703499, "qsc_code_frac_chars_top_2grams": 0.04995071, "qsc_code_frac_chars_top_3grams": 0.07886954, "qsc_code_frac_chars_top_4grams": 0.12224778, "qsc_code_frac_chars_dupe_5grams": 0.3302... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/cogni_graph/handlers.rs | use crate::cogni_graph::{
GraphConfig, GraphService, SearchService, CreateCardRequest, SearchRequest,
RecommendationRequest, ProblemCard, SearchResult, Recommendation, Tag,
CreateTagRequest, TagHierarchy, TagType
};
use crate::commands::AppState;
use crate::llm_manager::LLMManager;
use anyhow::{Result, any... | 12,040 | handlers | rs | en | rust | code | {"qsc_code_num_words": 1424, "qsc_code_num_chars": 12040.0, "qsc_code_mean_word_length": 5.14255618, "qsc_code_frac_words_unique": 0.1622191, "qsc_code_frac_chars_top_2grams": 0.04752151, "qsc_code_frac_chars_top_3grams": 0.03277345, "qsc_code_frac_chars_top_4grams": 0.04369794, "qsc_code_frac_chars_dupe_5grams": 0.483... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src-tauri/src/cogni_graph/config.rs | use serde::{Deserialize, Serialize};
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct Neo4jConfig {
pub uri: String,
pub username: String,
pub password: String,
pub database: Option<String>,
}
impl Default for Neo4jConfig {
fn default() -> Self {
Self {
uri: "bolt://l... | 1,044 | config | rs | en | rust | code | {"qsc_code_num_words": 105, "qsc_code_num_chars": 1044.0, "qsc_code_mean_word_length": 5.96190476, "qsc_code_frac_words_unique": 0.43809524, "qsc_code_frac_chars_top_2grams": 0.04313099, "qsc_code_frac_chars_top_3grams": 0.06389776, "qsc_code_frac_chars_top_4grams": 0.09904153, "qsc_code_frac_chars_dupe_5grams": 0.1437... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/ReviewAnalysisLibrary.tsx | /**
* DEPRECATED: 此组件已废弃 - 2024年6月8日
* 原因: 功能已被统一回顾分析(ReviewAnalysisDashboard)替代
*
* 这个组件使用localStorage存储数据，与新的数据库存储系统不兼容
* 请使用 ReviewAnalysisDashboard 代替此组件
*/
import React, { useState, useEffect } from 'react';
import { ReviewSessionTask } from '../types/index';
import { useNotification } from '../hooks/useNo... | 10,158 | ReviewAnalysisLibrary | tsx | en | tsx | code | {"qsc_code_num_words": 810, "qsc_code_num_chars": 10158.0, "qsc_code_mean_word_length": 6.71481481, "qsc_code_frac_words_unique": 0.2962963, "qsc_code_frac_chars_top_2grams": 0.0551572, "qsc_code_frac_chars_top_3grams": 0.03309432, "qsc_code_frac_chars_top_4grams": 0.02114359, "qsc_code_frac_chars_dupe_5grams": 0.15407... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/GraphVisualization.tsx | import React, { useState, useRef, useEffect } from 'react';
import { GraphConfig, GraphNode, GraphRelationship } from '../types/cogni-graph';
import './GraphVisualization.css';
interface GraphVisualizationProps {
config: GraphConfig;
isInitialized: boolean;
}
const GraphVisualization: React.FC<GraphVisualizationP... | 9,843 | GraphVisualization | tsx | en | tsx | code | {"qsc_code_num_words": 763, "qsc_code_num_chars": 9843.0, "qsc_code_mean_word_length": 6.54259502, "qsc_code_frac_words_unique": 0.33027523, "qsc_code_frac_chars_top_2grams": 0.02884615, "qsc_code_frac_chars_top_3grams": 0.01802885, "qsc_code_frac_chars_top_4grams": 0.0390625, "qsc_code_frac_chars_dupe_5grams": 0.19010... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/StickiNote | main/main.cpp | #include "nvs_flash.h"
#include "nvs.h"
#include "esp_log.h"
#include "esp_err.h"
#include "esp_check.h"
#include "lvgl.h"
#include "bsp/esp-bsp.h"
#include "bsp/display.h"
#include "LVGL_WidgetManager.hpp"
#include "SplashScreen.hpp"
extern int screen_width;
extern int screen_height;
void createNotebookBackground(lv... | 3,189 | main | cpp | en | cpp | code | {"qsc_code_num_words": 507, "qsc_code_num_chars": 3189.0, "qsc_code_mean_word_length": 4.05325444, "qsc_code_frac_words_unique": 0.20710059, "qsc_code_frac_chars_top_2grams": 0.09489051, "qsc_code_frac_chars_top_3grams": 0.06618005, "qsc_code_frac_chars_top_4grams": 0.07591241, "qsc_code_frac_chars_dupe_5grams": 0.4180... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/StickiNote | main/SplashScreen.cpp | #include "SplashScreen.hpp"
#include "esp_log.h"
#define SPLASH_ANIM_TIME 400
#define SPLASH_HOLD_TIME 1500
LV_IMG_DECLARE(notes);
int screen_width = 800; // Default value, will be set in main
int screen_height = 480;
struct SplashData {
lv_obj_t *splash_img;
std::function<void()> on_complete;
};
static vo... | 2,114 | SplashScreen | cpp | en | cpp | code | {"qsc_code_num_words": 355, "qsc_code_num_chars": 2114.0, "qsc_code_mean_word_length": 3.96338028, "qsc_code_frac_words_unique": 0.2, "qsc_code_frac_chars_top_2grams": 0.10234542, "qsc_code_frac_chars_top_3grams": 0.07675906, "qsc_code_frac_chars_top_4grams": 0.03411514, "qsc_code_frac_chars_dupe_5grams": 0.39943141, "... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/RagQueryView.tsx | import React, { useState, useCallback } from 'react';
import { TauriAPI } from '../utils/tauriApi';
import { useNotification } from '../hooks/useNotification';
import type { RetrievedChunk, RagQueryOptions } from '../types';
import './RagQueryView.css';
import { Search, Lightbulb, Sparkles } from 'lucide-react';
inter... | 8,443 | RagQueryView | tsx | en | tsx | code | {"qsc_code_num_words": 724, "qsc_code_num_chars": 8443.0, "qsc_code_mean_word_length": 5.88812155, "qsc_code_frac_words_unique": 0.37707182, "qsc_code_frac_chars_top_2grams": 0.05348346, "qsc_code_frac_chars_top_3grams": 0.01266714, "qsc_code_frac_chars_top_4grams": 0.01829697, "qsc_code_frac_chars_dupe_5grams": 0.0530... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/SharedPreview.tsx | import React, { useRef, useEffect } from 'react';
import { AnkiCardTemplate } from '../types';
export const IframePreview: React.FC<{ htmlContent: string; cssContent: string; }> = ({ htmlContent, cssContent }) => {
const iframeRef = useRef<HTMLIFrameElement>(null);
useEffect(() => {
const iframe = iframeRef.c... | 7,787 | SharedPreview | tsx | en | tsx | code | {"qsc_code_num_words": 692, "qsc_code_num_chars": 7787.0, "qsc_code_mean_word_length": 6.16907514, "qsc_code_frac_words_unique": 0.34971098, "qsc_code_frac_chars_top_2grams": 0.0374795, "qsc_code_frac_chars_top_3grams": 0.05387679, "qsc_code_frac_chars_top_4grams": 0.03654252, "qsc_code_frac_chars_dupe_5grams": 0.27805... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0000cd/wolf-set | themes/bluf/layouts/index - 副本2.html | <!DOCTYPE html>
<html lang="{{ .Site.LanguageCode }}">
<head>
{{ partial "head.html" . }}
<title>{{ .Site.Title }}</title>
<meta name="description" content="{{ .Site.Params.description }}" />
<meta name="keywords" content="{{ range .Site.Params.keywords }}{{ . }},{{ end }}" />
</head>
<body>
... | 17,823 | index - 副本2 | html | en | html | code | {"qsc_code_num_words": 1249, "qsc_code_num_chars": 17823.0, "qsc_code_mean_word_length": 5.41473179, "qsc_code_frac_words_unique": 0.21056845, "qsc_code_frac_chars_top_2grams": 0.02720686, "qsc_code_frac_chars_top_3grams": 0.02691113, "qsc_code_frac_chars_top_4grams": 0.03060772, "qsc_code_frac_chars_dupe_5grams": 0.36... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0000cd/wolf-set | themes/bluf/layouts/index - 副本.html | <!DOCTYPE html>
<html lang="{{ .Site.LanguageCode }}">
<head>
{{ partial "head.html" . }}
<title>{{ .Site.Title }}</title>
<meta name="description" content="{{ .Site.Params.description }}" />
<meta name="keywords" content="{{ range .Site.Params.keywords }}{{ . }},{{ end }}" />
</head>
<body>
... | 13,047 | index - 副本 | html | en | html | code | {"qsc_code_num_words": 978, "qsc_code_num_chars": 13047.0, "qsc_code_mean_word_length": 5.38343558, "qsc_code_frac_words_unique": 0.25357873, "qsc_code_frac_chars_top_2grams": 0.03190883, "qsc_code_frac_chars_top_3grams": 0.03209877, "qsc_code_frac_chars_top_4grams": 0.0305793, "qsc_code_frac_chars_dupe_5grams": 0.2273... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/ReviewAnalysisSessionView_old.tsx | import React, { useState, useEffect, useRef, useCallback } from 'react';
import { ReviewSessionTask, ChatMessage } from '../types/index';
import { useNotification } from '../hooks/useNotification';
import { TauriAPI } from '../utils/tauriApi';
import { listen } from '@tauri-apps/api/event';
import { MessageWithThinking... | 20,531 | ReviewAnalysisSessionView_old | tsx | en | tsx | code | {"qsc_code_num_words": 1535, "qsc_code_num_chars": 20531.0, "qsc_code_mean_word_length": 6.7276873, "qsc_code_frac_words_unique": 0.28078176, "qsc_code_frac_chars_top_2grams": 0.02672606, "qsc_code_frac_chars_top_3grams": 0.01162003, "qsc_code_frac_chars_top_4grams": 0.01239469, "qsc_code_frac_chars_dupe_5grams": 0.171... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/TemplateManager.css | /* 模板管理器主容器 */
.template-manager-modal {
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
z-index: 1000;
display: flex;
align-items: center;
justify-content: center;
}
.template-manager-backdrop {
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: rgba(0, 0, 0, 0.... | 12,423 | TemplateManager | css | en | css | data | {"qsc_code_num_words": 1610, "qsc_code_num_chars": 12423.0, "qsc_code_mean_word_length": 4.97639752, "qsc_code_frac_words_unique": 0.16583851, "qsc_code_frac_chars_top_2grams": 0.03295057, "qsc_code_frac_chars_top_3grams": 0.0224663, "qsc_code_frac_chars_top_4grams": 0.02596106, "qsc_code_frac_chars_dupe_5grams": 0.501... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
000haoji/deep-student | src/components/WindowControls.tsx | import { useState, useEffect } from 'react';
import { getCurrentWindow } from '@tauri-apps/api/window';
export const WindowControls: React.FC = () => {
const [isMaximized, setIsMaximized] = useState(false);
useEffect(() => {
const initWindow = async () => {
const window = getCurrentWindow();
... | 3,374 | WindowControls | tsx | en | tsx | code | {"qsc_code_num_words": 314, "qsc_code_num_chars": 3374.0, "qsc_code_mean_word_length": 5.86942675, "qsc_code_frac_words_unique": 0.28025478, "qsc_code_frac_chars_top_2grams": 0.04177971, "qsc_code_frac_chars_top_3grams": 0.05534455, "qsc_code_frac_chars_top_4grams": 0.07162235, "qsc_code_frac_chars_dupe_5grams": 0.5659... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/EnhancedRagQueryView.css | /* 增强RAG查询视图样式 */
.enhanced-rag-query-view {
padding: 20px;
max-width: 1200px;
margin: 0 auto;
background: #f8fafc;
min-height: 100vh;
}
/* 查询头部 */
.query-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 20px;
padding: 20px;
background: white;
border-r... | 9,586 | EnhancedRagQueryView | css | en | css | data | {"qsc_code_num_words": 1273, "qsc_code_num_chars": 9586.0, "qsc_code_mean_word_length": 4.7863315, "qsc_code_frac_words_unique": 0.17046347, "qsc_code_frac_chars_top_2grams": 0.00951912, "qsc_code_frac_chars_top_3grams": 0.02511078, "qsc_code_frac_chars_top_4grams": 0.02708026, "qsc_code_frac_chars_dupe_5grams": 0.4258... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
000haoji/deep-student | src/components/TemplateManager.tsx | import React, { useState, useEffect, useRef } from 'react';
import { CustomAnkiTemplate, CreateTemplateRequest, FieldExtractionRule, AnkiCardTemplate } from '../types';
import { templateManager } from '../data/ankiTemplates';
import './TemplateManager.css';
import { IframePreview, renderCardPreview } from './SharedPrev... | 22,970 | TemplateManager | tsx | en | tsx | code | {"qsc_code_num_words": 1773, "qsc_code_num_chars": 22970.0, "qsc_code_mean_word_length": 6.63113367, "qsc_code_frac_words_unique": 0.20248167, "qsc_code_frac_chars_top_2grams": 0.05307476, "qsc_code_frac_chars_top_3grams": 0.02211448, "qsc_code_frac_chars_top_4grams": 0.02653738, "qsc_code_frac_chars_dupe_5grams": 0.25... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/KnowledgeGraphManagement.css | .knowledge-graph-management {
padding: 20px;
max-width: 1200px;
margin: 0 auto;
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
}
.knowledge-graph-management h2 {
color: #2c3e50;
border-bottom: 3px solid #3498db;
padding-bottom: 10px;
margin-bottom: 30px;
}
.error-message {
background-... | 10,366 | KnowledgeGraphManagement | css | en | css | data | {"qsc_code_num_words": 1373, "qsc_code_num_chars": 10366.0, "qsc_code_mean_word_length": 4.90677349, "qsc_code_frac_words_unique": 0.17479971, "qsc_code_frac_chars_top_2grams": 0.05165504, "qsc_code_frac_chars_top_3grams": 0.00667953, "qsc_code_frac_chars_top_4grams": 0.0135075, "qsc_code_frac_chars_dupe_5grams": 0.434... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
000haoji/deep-student | src/components/ModernSelect.tsx | import React, { useState, useRef, useEffect } from 'react';
import './ModernSelect.css';
export interface ModernSelectProps {
options: string[];
value: string;
onChange: (value: string) => void;
placeholder?: string;
disabled?: boolean;
fullWidth?: boolean;
}
// 一个轻量级、无依赖的自定义下拉选择器
const ModernSelect: Reac... | 1,806 | ModernSelect | tsx | en | tsx | code | {"qsc_code_num_words": 145, "qsc_code_num_chars": 1806.0, "qsc_code_mean_word_length": 6.88965517, "qsc_code_frac_words_unique": 0.48965517, "qsc_code_frac_chars_top_2grams": 0.04804805, "qsc_code_frac_chars_top_3grams": 0.06606607, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_cod... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
000haoji/deep-student | src/components/ReviewAnalysis.css | /* 统一回顾分析组件样式 */
/* 通用容器样式 */
.review-analysis-container {
width: 100%;
height: 100%;
overflow: hidden;
display: flex;
flex-direction: column;
}
.review-analysis-main {
flex: 1;
padding: 20px;
overflow-y: auto;
background-color: #f8fafc;
}
/* 头部样式 */
.review-analysis-header {
background: white;
... | 13,480 | ReviewAnalysis | css | en | css | data | {"qsc_code_num_words": 1712, "qsc_code_num_chars": 13480.0, "qsc_code_mean_word_length": 5.15303738, "qsc_code_frac_words_unique": 0.15595794, "qsc_code_frac_chars_top_2grams": 0.02539107, "qsc_code_frac_chars_top_3grams": 0.02040354, "qsc_code_frac_chars_top_4grams": 0.01666289, "qsc_code_frac_chars_dupe_5grams": 0.42... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
0015/esp_rlottie | rlottie/example/lottieview.cpp | /*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
*... | 5,676 | lottieview | cpp | en | cpp | code | {"qsc_code_num_words": 636, "qsc_code_num_chars": 5676.0, "qsc_code_mean_word_length": 6.0754717, "qsc_code_frac_words_unique": 0.35849057, "qsc_code_frac_chars_top_2grams": 0.0615942, "qsc_code_frac_chars_top_3grams": 0.03416149, "qsc_code_frac_chars_top_4grams": 0.04347826, "qsc_code_frac_chars_dupe_5grams": 0.244565... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/esp_rlottie | rlottie/example/demo_marker.cpp | /*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
*... | 2,650 | demo_marker | cpp | en | cpp | code | {"qsc_code_num_words": 352, "qsc_code_num_chars": 2650.0, "qsc_code_mean_word_length": 5.06818182, "qsc_code_frac_words_unique": 0.44034091, "qsc_code_frac_chars_top_2grams": 0.04932735, "qsc_code_frac_chars_top_3grams": 0.03026906, "qsc_code_frac_chars_top_4grams": 0.0353139, "qsc_code_frac_chars_dupe_5grams": 0.04204... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/esp_rlottie | rlottie/example/evasapp.cpp | /*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All rights reserved.
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
*... | 4,158 | evasapp | cpp | en | cpp | code | {"qsc_code_num_words": 584, "qsc_code_num_chars": 4158.0, "qsc_code_mean_word_length": 4.72773973, "qsc_code_frac_words_unique": 0.34760274, "qsc_code_frac_chars_top_2grams": 0.06845346, "qsc_code_frac_chars_top_3grams": 0.03078595, "qsc_code_frac_chars_top_4grams": 0.02607751, "qsc_code_frac_chars_dupe_5grams": 0.0996... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0015/esp_rlottie | rlottie/src/meson.build | compiler_flags = ['-DRLOTTIE_BUILD']
cc = meson.get_compiler('cpp')
if (cc.get_id() != 'msvc')
compiler_flags += ['-fno-exceptions', '-fno-rtti',
'-fno-unwind-tables' , '-fno-asynchronous-unwind-tables',
'-Woverloaded-virtual', '-Wno-unused-parameter']
endif
linker_fl... | 1,862 | meson | build | en | unknown | unknown | {} | 0 | {} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.