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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
0-5788719150923125/praxis | integrations/quantum/main.py | """Quantum code dataset implementation for Praxis."""
import argparse
import json
import os
import random
import subprocess
from pathlib import Path
from typing import Any, Dict, List, Optional
from praxis.data.config import SYSTEM_PROMPT
from praxis.data.formatters.files import format_file_as_messages
from praxis.in... | 26,059 | main | py | en | python | code | {"qsc_code_num_words": 2626, "qsc_code_num_chars": 26059.0, "qsc_code_mean_word_length": 5.04417365, "qsc_code_frac_words_unique": 0.21591775, "qsc_code_frac_chars_top_2grams": 0.02008153, "qsc_code_frac_chars_top_3grams": 0.02151593, "qsc_code_frac_chars_top_4grams": 0.01389099, "qsc_code_frac_chars_dupe_5grams": 0.20... | 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... |
0-5788719150923125/praxis | integrations/quantum/README.md | # Quantum Integration
Advanced optimization and code training capabilities for Praxis.
## Activation
Add the `--quantum` flag when running Praxis:
```bash
python main.py --quantum
```
## Features
- **Code Repository Training**: Train models on source code repositories
- **Quantum-Inspired Optimization**: Advanced ... | 1,763 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.09602649, "qsc_doc_num_sentences": 10.0, "qsc_doc_num_words": 208, "qsc_doc_num_chars": 1763.0, "qsc_doc_num_lines": 64.0, "qsc_doc_mean_word_length": 6.62019231, "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_... |
0-5788719150923125/praxis | integrations/ngrok/main.py | """Ngrok integration class for Praxis."""
import asyncio
import os
import threading
from typing import Any, Dict, Optional
from praxis.integrations.base import BaseIntegration, IntegrationSpec
class NgrokTunnel:
"""Manages ngrok tunnel for the API server using the Python SDK."""
def __init__(self, host="lo... | 16,064 | main | py | en | python | code | {"qsc_code_num_words": 1775, "qsc_code_num_chars": 16064.0, "qsc_code_mean_word_length": 4.78647887, "qsc_code_frac_words_unique": 0.21859155, "qsc_code_frac_chars_top_2grams": 0.02718927, "qsc_code_frac_chars_top_3grams": 0.00918079, "qsc_code_frac_chars_top_4grams": 0.01271186, "qsc_code_frac_chars_dupe_5grams": 0.11... | 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... |
05sec/Cardinal | internal/i18n/i18n.go | // Copyright 2021 E99p1ant. All rights reserved.
// Use of this source code is governed by an AGPL-style
// license that can be found in the LICENSE file.
package i18n
import (
"net/http"
"github.com/flamego/flamego"
"github.com/qor/i18n"
"github.com/qor/i18n/backends/yaml"
"golang.org/x/text/language"
"githu... | 1,193 | i18n | go | en | go | code | {"qsc_code_num_words": 158, "qsc_code_num_chars": 1193.0, "qsc_code_mean_word_length": 5.2721519, "qsc_code_frac_words_unique": 0.53797468, "qsc_code_frac_chars_top_2grams": 0.05402161, "qsc_code_frac_chars_top_3grams": 0.02881152, "qsc_code_frac_chars_top_4grams": 0.03841537, "qsc_code_frac_chars_dupe_5grams": 0.06242... | 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... |
05sec/Cardinal | internal/dynamic_config/dynamic_config.go | package dynamic_config
import (
"github.com/gin-gonic/gin"
"github.com/vidar-team/Cardinal/internal/dbold"
"github.com/vidar-team/Cardinal/internal/locales"
"github.com/vidar-team/Cardinal/internal/utils"
)
func Init() {
dbold.MySQL.Model(&dbold.DynamicConfig{})
initConfig(utils.DATBASE_VERSION, dbold.VERSION... | 2,938 | dynamic_config | go | en | go | code | {"qsc_code_num_words": 397, "qsc_code_num_chars": 2938.0, "qsc_code_mean_word_length": 5.29722922, "qsc_code_frac_words_unique": 0.29722922, "qsc_code_frac_chars_top_2grams": 0.07703281, "qsc_code_frac_chars_top_3grams": 0.03566334, "qsc_code_frac_chars_top_4grams": 0.04755112, "qsc_code_frac_chars_dupe_5grams": 0.5282... | 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... |
05sec/Cardinal | internal/dbold/model.go | package dbold
import (
"github.com/jinzhu/gorm"
)
// If the version is different from the database record, it will ask user for cleaning the database.
const VERSION = "20201127"
// Manager is a gorm model for database table `managers`.
type Manager struct {
gorm.Model
Name string
Password string `json:"-"`
... | 3,298 | model | go | en | go | code | {"qsc_code_num_words": 462, "qsc_code_num_chars": 3298.0, "qsc_code_mean_word_length": 4.98268398, "qsc_code_frac_words_unique": 0.31385281, "qsc_code_frac_chars_top_2grams": 0.10947003, "qsc_code_frac_chars_top_3grams": 0.09122502, "qsc_code_frac_chars_top_4grams": 0.07341442, "qsc_code_frac_chars_dupe_5grams": 0.2966... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/ui/changelist/v2_X_Changes.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 97,202 | v2_X_Changes | java | en | java | code | {"qsc_code_num_words": 14371, "qsc_code_num_chars": 97202.0, "qsc_code_mean_word_length": 4.74977385, "qsc_code_frac_words_unique": 0.16296709, "qsc_code_frac_chars_top_2grams": 0.00474663, "qsc_code_frac_chars_top_3grams": 0.02059802, "qsc_code_frac_chars_top_4grams": 0.03360729, "qsc_code_frac_chars_dupe_5grams": 0.1... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/ui/changelist/ChangeInfo.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 3,444 | ChangeInfo | java | en | java | code | {"qsc_code_num_words": 433, "qsc_code_num_chars": 3444.0, "qsc_code_mean_word_length": 5.09006928, "qsc_code_frac_words_unique": 0.36258661, "qsc_code_frac_chars_top_2grams": 0.01633394, "qsc_code_frac_chars_top_3grams": 0.0176951, "qsc_code_frac_chars_top_4grams": 0.02586207, "qsc_code_frac_chars_dupe_5grams": 0.11660... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/potions/PotionOfPurity.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 3,148 | PotionOfPurity | java | en | java | code | {"qsc_code_num_words": 381, "qsc_code_num_chars": 3148.0, "qsc_code_mean_word_length": 6.09711286, "qsc_code_frac_words_unique": 0.43832021, "qsc_code_frac_chars_top_2grams": 0.05811451, "qsc_code_frac_chars_top_3grams": 0.21265605, "qsc_code_frac_chars_top_4grams": 0.22729229, "qsc_code_frac_chars_dupe_5grams": 0.1915... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0-5788719150923125/praxis | praxis/trainers/backpropagation.py | """Backpropagation training module for Praxis models."""
import re
from datetime import datetime
import torch
from lightning.pytorch import LightningModule
from torcheval.metrics.functional import perplexity
from praxis.trainers.compile import try_compile
class BackpropagationTrainer(LightningModule):
"""
... | 17,308 | backpropagation | py | en | python | code | {"qsc_code_num_words": 1926, "qsc_code_num_chars": 17308.0, "qsc_code_mean_word_length": 4.90965732, "qsc_code_frac_words_unique": 0.19626168, "qsc_code_frac_chars_top_2grams": 0.02961083, "qsc_code_frac_chars_top_3grams": 0.01269036, "qsc_code_frac_chars_top_4grams": 0.008989, "qsc_code_frac_chars_dupe_5grams": 0.2506... | 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... |
0-5788719150923125/praxis | praxis/trainers/progress.py | """Progress bar utilities for training."""
from typing import Any, Optional
class BaseProgressBar:
"""Base class for progress bars."""
def __init__(
self, refresh_rate: int = 1, process_position: int = 0, leave: bool = False
):
"""Initialize progress bar.
Args:
refre... | 1,618 | progress | py | en | python | code | {"qsc_code_num_words": 184, "qsc_code_num_chars": 1618.0, "qsc_code_mean_word_length": 5.54347826, "qsc_code_frac_words_unique": 0.33695652, "qsc_code_frac_chars_top_2grams": 0.2372549, "qsc_code_frac_chars_top_3grams": 0.05882353, "qsc_code_frac_chars_top_4grams": 0.07058824, "qsc_code_frac_chars_dupe_5grams": 0.0, "q... | 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": 1, "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... |
0-5788719150923125/praxis | praxis/trainers/seed.py | """Seed utilities for reproducibility."""
import random
import os
from typing import Optional
import numpy as np
import torch
def seed_everything(seed: int, workers: bool = False) -> int:
"""Set seed for all random number generators.
Args:
seed: The seed value to use
workers: Whether to also... | 1,529 | seed | py | en | python | code | {"qsc_code_num_words": 195, "qsc_code_num_chars": 1529.0, "qsc_code_mean_word_length": 4.95897436, "qsc_code_frac_words_unique": 0.41025641, "qsc_code_frac_chars_top_2grams": 0.05170631, "qsc_code_frac_chars_top_3grams": 0.03722854, "qsc_code_frac_chars_top_4grams": 0.03929679, "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... |
0-5788719150923125/praxis | praxis/trainers/datamodule.py | """Generic data module interface."""
from abc import ABC, abstractmethod
from typing import Any, Optional
from torch.utils.data import DataLoader
class BaseDataModule(ABC):
"""Abstract base class for data modules.
This provides a framework-agnostic interface for data loading.
Implementations can wrap th... | 1,314 | datamodule | py | en | python | code | {"qsc_code_num_words": 142, "qsc_code_num_chars": 1314.0, "qsc_code_mean_word_length": 5.77464789, "qsc_code_frac_words_unique": 0.43661972, "qsc_code_frac_chars_top_2grams": 0.11707317, "qsc_code_frac_chars_top_3grams": 0.09268293, "qsc_code_frac_chars_top_4grams": 0.04878049, "qsc_code_frac_chars_dupe_5grams": 0.3780... | 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... |
027xiguapi/pear-rec | README.de-DE.md | <p align="center">
<img src="https://027xiguapi.github.io/pear-rec/logo.png" height="120">
<h1 align="center">pear-rec</h1>
</p>
<p align="center">
<img src="https://img.shields.io/github/stars/027xiguapi/pear-rec" alt="stars">
<img src="https://img.shields.io/badge/react-v18-blue" alt="react">
<img src="https://i... | 2,670 | README.de-DE | md | de | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.04201681, "qsc_doc_num_sentences": 46.0, "qsc_doc_num_words": 381, "qsc_doc_num_chars": 2670.0, "qsc_doc_num_lines": 94.0, "qsc_doc_mean_word_length": 4.88188976, "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_... |
01joy/news-search-engine | data/news/425.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>425</id><url>http://www.chinanews.com/ty/2020/03-31/9143639.shtml</url><title>国家体育总局：马拉松等体育赛事活动暂不恢复</title><datetime>2020-3-31 23:30:00</datetime><body> (抗击新冠肺炎)国家体育总局：马拉松等体育赛事活动暂不恢复
中新社北京3月31日电中国国家体育总局办公厅31日晚发布通知称，马拉松等体育赛事活动暂不恢复。
国家体育总局在这份通知中表示，为贯彻落实“外防输入、内防反弹”的疫情防控要求，... | 567 | 425 | xml | zh | xml | data | {"qsc_code_num_words": 196, "qsc_code_num_chars": 567.0, "qsc_code_mean_word_length": 2.3622449, "qsc_code_frac_words_unique": 0.67857143, "qsc_code_frac_chars_top_2grams": 0.02159827, "qsc_code_frac_chars_top_3grams": 0.04319654, "qsc_code_frac_chars_top_4grams": 0.05183585, "qsc_code_frac_chars_dupe_5grams": 0.116630... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/2302.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2302</id><url>http://www.chinanews.com/sh/2020/04-04/9147732.shtml</url><title>这个清明，让我们一起铭记</title><datetime>2020-4-4 16:19:00</datetime><body> 冬去春暖，清明节至。
清明是我们慎终追远、礼敬祖先、缅怀亲人、追思英烈、怀念战友的时节，尽管它不会因为我们的痛苦和忧思而急切或迟缓，但它是中华民族源远流长、隆重而盛大的礼敬和祭奠之节。
就在3日，国务院发布公告，为表达全国各族人民对抗击新冠肺炎疫情斗争... | 1,542 | 2302 | xml | zh | xml | data | {"qsc_code_num_words": 715, "qsc_code_num_chars": 1542.0, "qsc_code_mean_word_length": 1.79300699, "qsc_code_frac_words_unique": 0.53706294, "qsc_code_frac_chars_top_2grams": 0.02106084, "qsc_code_frac_chars_top_3grams": 0.0124805, "qsc_code_frac_chars_top_4grams": 0.01404056, "qsc_code_frac_chars_dupe_5grams": 0.05460... | 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_words_unique": 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... |
0-5788719150923125/praxis | praxis/normalization/layer_norm.py | """LayerNorm implementation with configurable pre/post normalization."""
from typing import Any
import torch
import torch.nn as nn
from praxis.normalization.base import BaseNorm
class LayerNorm(nn.LayerNorm):
"""LayerNorm with configurable pre/post norm behavior."""
def __init__(
self,
nor... | 1,429 | layer_norm | py | en | python | code | {"qsc_code_num_words": 163, "qsc_code_num_chars": 1429.0, "qsc_code_mean_word_length": 4.98773006, "qsc_code_frac_words_unique": 0.36196319, "qsc_code_frac_chars_top_2grams": 0.05904059, "qsc_code_frac_chars_top_3grams": 0.08856089, "qsc_code_frac_chars_top_4grams": 0.11316113, "qsc_code_frac_chars_dupe_5grams": 0.1869... | 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... |
0-5788719150923125/praxis | praxis/normalization/rms_norm.py | """RMSNorm implementation with configurable pre/post normalization."""
from typing import Any
import torch
import torch.nn as nn
from praxis.normalization.base import BaseNorm
class RMSNorm(nn.RMSNorm):
"""RMSNorm with configurable pre/post norm behavior."""
def __init__(
self,
normalized_... | 1,753 | rms_norm | py | en | python | code | {"qsc_code_num_words": 198, "qsc_code_num_chars": 1753.0, "qsc_code_mean_word_length": 4.95454545, "qsc_code_frac_words_unique": 0.31818182, "qsc_code_frac_chars_top_2grams": 0.05708461, "qsc_code_frac_chars_top_3grams": 0.0733945, "qsc_code_frac_chars_top_4grams": 0.09378186, "qsc_code_frac_chars_dupe_5grams": 0.32619... | 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... |
0-5788719150923125/praxis | praxis/normalization/base.py | """Base normalization class that provides a no-op implementation."""
from abc import ABC
from typing import Any
import torch
import torch.nn as nn
class BaseNorm(nn.Module, ABC):
"""
Base normalization class that provides a no-op implementation.
Other normalization classes should inherit from this and ... | 1,187 | base | py | en | python | code | {"qsc_code_num_words": 139, "qsc_code_num_chars": 1187.0, "qsc_code_mean_word_length": 5.18705036, "qsc_code_frac_words_unique": 0.51079137, "qsc_code_frac_chars_top_2grams": 0.06241331, "qsc_code_frac_chars_top_3grams": 0.06102635, "qsc_code_frac_chars_top_4grams": 0.07212205, "qsc_code_frac_chars_dupe_5grams": 0.1470... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/armor/MailArmor.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,047 | MailArmor | java | en | java | code | {"qsc_code_num_words": 146, "qsc_code_num_chars": 1047.0, "qsc_code_mean_word_length": 5.33561644, "qsc_code_frac_words_unique": 0.6369863, "qsc_code_frac_chars_top_2grams": 0.042362, "qsc_code_frac_chars_top_3grams": 0.05006418, "qsc_code_frac_chars_top_4grams": 0.07317073, "qsc_code_frac_chars_dupe_5grams": 0.1052631... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/armor/ScaleArmor.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,050 | ScaleArmor | java | en | java | code | {"qsc_code_num_words": 146, "qsc_code_num_chars": 1050.0, "qsc_code_mean_word_length": 5.35616438, "qsc_code_frac_words_unique": 0.64383562, "qsc_code_frac_chars_top_2grams": 0.04219949, "qsc_code_frac_chars_top_3grams": 0.04987212, "qsc_code_frac_chars_top_4grams": 0.07289003, "qsc_code_frac_chars_dupe_5grams": 0.1048... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/armor/ClassArmor.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 10,227 | ClassArmor | java | en | java | code | {"qsc_code_num_words": 1101, "qsc_code_num_chars": 10227.0, "qsc_code_mean_word_length": 6.3315168, "qsc_code_frac_words_unique": 0.2897366, "qsc_code_frac_chars_top_2grams": 0.03098551, "qsc_code_frac_chars_top_3grams": 0.12537656, "qsc_code_frac_chars_top_4grams": 0.138861, "qsc_code_frac_chars_dupe_5grams": 0.213168... | 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... |
01joy/news-search-engine | data/news/2253.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2253</id><url>http://www.chinanews.com/ll/2020/04-04/9147847.shtml</url><title>丝路话语：为逝者志哀 让生者奋进</title><datetime>2020-4-4 18:58:00</datetime><body> 【地评线】丝路话语：为逝者志哀让生者奋进
本网特约评论员付彪
为表达全国各族人民对抗击新冠肺炎疫情斗争牺牲烈士和逝世同胞的深切哀悼，4月4日10时起，全国人民默哀3分钟，汽车、火车、舰船鸣笛，防空警报鸣响。
12年前的5月12日，汶川大地震震... | 1,273 | 2253 | xml | zh | xml | data | {"qsc_code_num_words": 575, "qsc_code_num_chars": 1273.0, "qsc_code_mean_word_length": 1.89217391, "qsc_code_frac_words_unique": 0.53217391, "qsc_code_frac_chars_top_2grams": 0.02205882, "qsc_code_frac_chars_top_3grams": 0.03216912, "qsc_code_frac_chars_top_4grams": 0.03308824, "qsc_code_frac_chars_dupe_5grams": 0.1727... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/71.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>71</id><url>http://www.chinanews.com/gj/2020/03-30/9142434.shtml</url><title>南非总统称赞中国抗疫举措 </title><datetime>2020-3-30 20:58:00</datetime><body> 新华社开普敦3月30日电(记者高原)南非总统拉马福萨30日称赞中国新冠肺炎疫情防控举措为全球抗疫树立样板。
拉马福萨在对全国人民发表的“每周总统讲话”中说，中国在武汉和其他地区的抗疫经验表明，必须采取“大规模和非同寻常的”手段才能遏制疫情蔓延。
他说，... | 551 | 71 | xml | zh | xml | data | {"qsc_code_num_words": 213, "qsc_code_num_chars": 551.0, "qsc_code_mean_word_length": 2.08920188, "qsc_code_frac_words_unique": 0.64788732, "qsc_code_frac_chars_top_2grams": 0.02696629, "qsc_code_frac_chars_top_3grams": 0.02696629, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code... | 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_words_unique": 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/stones/StoneOfDeepSleep.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,844 | StoneOfDeepSleep | java | en | java | code | {"qsc_code_num_words": 234, "qsc_code_num_chars": 1844.0, "qsc_code_mean_word_length": 6.03846154, "qsc_code_frac_words_unique": 0.55982906, "qsc_code_frac_chars_top_2grams": 0.10828025, "qsc_code_frac_chars_top_3grams": 0.24203822, "qsc_code_frac_chars_top_4grams": 0.24911536, "qsc_code_frac_chars_dupe_5grams": 0.2420... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/stones/StoneOfDetectMagic.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 3,195 | StoneOfDetectMagic | java | en | java | code | {"qsc_code_num_words": 358, "qsc_code_num_chars": 3195.0, "qsc_code_mean_word_length": 6.70949721, "qsc_code_frac_words_unique": 0.4301676, "qsc_code_frac_chars_top_2grams": 0.09200666, "qsc_code_frac_chars_top_3grams": 0.20566195, "qsc_code_frac_chars_top_4grams": 0.21981682, "qsc_code_frac_chars_dupe_5grams": 0.26477... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0-5788719150923125/praxis | praxis/blocks/mru.py | import math
import random
from typing import Optional, TypeVar
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from praxis.dense import DENSE_REGISTRY
ConfigType = TypeVar("ConfigType", bound="AutoConfig")
class MRUBlock(nn.Module):
"""
A recurrent model with eff... | 12,963 | mru | py | en | python | code | {"qsc_code_num_words": 1622, "qsc_code_num_chars": 12963.0, "qsc_code_mean_word_length": 4.35511714, "qsc_code_frac_words_unique": 0.18495684, "qsc_code_frac_chars_top_2grams": 0.05775764, "qsc_code_frac_chars_top_3grams": 0.04091166, "qsc_code_frac_chars_top_4grams": 0.03057758, "qsc_code_frac_chars_dupe_5grams": 0.39... | 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... |
0-5788719150923125/praxis | praxis/blocks/conv.py | import math
import time
from typing import Any, Optional, Tuple, TypeVar, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from praxis.activations import ACT2FN
from praxis.dense import DENSE_REGISTRY
ConfigType = TypeVar("ConfigType", bound="AutoConfig")
class Conv... | 18,484 | conv | py | en | python | code | {"qsc_code_num_words": 2289, "qsc_code_num_chars": 18484.0, "qsc_code_mean_word_length": 4.57492355, "qsc_code_frac_words_unique": 0.17562254, "qsc_code_frac_chars_top_2grams": 0.01986249, "qsc_code_frac_chars_top_3grams": 0.01527884, "qsc_code_frac_chars_top_4grams": 0.01632926, "qsc_code_frac_chars_dupe_5grams": 0.30... | 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... |
01joy/news-search-engine | data/news/1823.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1823</id><url>http://www.chinanews.com/cj/2020/04-03/9147104.shtml</url><title>中国海油全套自主知识产权的高端变压器油生产装置投产</title><datetime>2020-4-3 20:59:00</datetime><body> 中新网北京4月3日电(记者周锐)记者3日从中国海洋石油集团有限公司(以下称“中国海油”)获悉，近日，该公司旗下中海炼化中海沥青股份有限公司(以下称“中沥公司”)精密分馏装置在山东滨州成功投产。该装置拥有20万吨变压器油年产能力，是... | 964 | 1823 | xml | zh | xml | data | {"qsc_code_num_words": 378, "qsc_code_num_chars": 964.0, "qsc_code_mean_word_length": 2.17460317, "qsc_code_frac_words_unique": 0.63492063, "qsc_code_frac_chars_top_2grams": 0.03406326, "qsc_code_frac_chars_top_3grams": 0.02919708, "qsc_code_frac_chars_top_4grams": 0.02189781, "qsc_code_frac_chars_dupe_5grams": 0.02676... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/658.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>658</id><url>http://www.chinanews.com/sh/2020/03-31/9143063.shtml</url><title>宁南扑火队牺牲民兵：多为农村出身 有人开商铺卖豆腐干</title><datetime>2020-3-31 14:26:00</datetime><body> 宁南扑火队牺牲民兵：多为农村出身，有人开商铺卖豆腐干
新京报讯(记者付子洋)今日(3月31日)，四川省凉山彝族自治州宁南县18名扑火队员及1名当地向导在西昌山火中牺牲。据凉山州政府消息，31日1时30分，宁南县组织的专业扑火队... | 851 | 658 | xml | zh | xml | data | {"qsc_code_num_words": 366, "qsc_code_num_chars": 851.0, "qsc_code_mean_word_length": 1.92622951, "qsc_code_frac_words_unique": 0.58743169, "qsc_code_frac_chars_top_2grams": 0.01702128, "qsc_code_frac_chars_top_3grams": 0.02553191, "qsc_code_frac_chars_top_4grams": 0.01985816, "qsc_code_frac_chars_dupe_5grams": 0.06808... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1063.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1063</id><url>http://www.chinanews.com/gn/2020/04-01/9144311.shtml</url><title>民政部：截止3月31日湖北累计发放临时救助金3500多万元</title><datetime>2020-4-1 16:25:00</datetime><body> 中新网4月1日电国务院联防联控机制今日召开发布会，民政部社会救助司副司长刘勇在会上表示，截止到昨天(3月31日)，湖北累计设置安置点69个，安置将近6000人，救助13000多人，发放临时救助金3500多万元。
发布会上... | 1,175 | 1063 | xml | zh | xml | data | {"qsc_code_num_words": 490, "qsc_code_num_chars": 1175.0, "qsc_code_mean_word_length": 2.04489796, "qsc_code_frac_words_unique": 0.54285714, "qsc_code_frac_chars_top_2grams": 0.01996008, "qsc_code_frac_chars_top_3grams": 0.01996008, "qsc_code_frac_chars_top_4grams": 0.01497006, "qsc_code_frac_chars_dupe_5grams": 0.1656... | 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_words_unique": 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... |
0606zt/TwinDiffusion | utils.py | from PIL import Image
import os
import random
import numpy as np
from tqdm import tqdm
# randomly corp a 512*512 block from a panorama
def crop_img(input_folder, output_folder):
png_imgs = [file for file in os.listdir(input_folder) if file.endswith('.png')]
for i, png_img in tqdm(enumerate(png_imgs)):
... | 1,686 | utils | py | en | python | code | {"qsc_code_num_words": 262, "qsc_code_num_chars": 1686.0, "qsc_code_mean_word_length": 3.80534351, "qsc_code_frac_words_unique": 0.31679389, "qsc_code_frac_chars_top_2grams": 0.04914744, "qsc_code_frac_chars_top_3grams": 0.03009027, "qsc_code_frac_chars_top_4grams": 0.02808425, "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... |
0-5788719150923125/praxis | praxis/api/server.py | """API server management."""
import os
import time
import logging
from threading import Event, Thread
from typing import Optional, Any
from datetime import datetime
from .app import app, socketio, api_logger, werkzeug_logger
from .config import (
DEFAULT_HOST,
DEFAULT_PORT,
SERVER_START_TIMEOUT,
DEV_L... | 10,111 | server | py | en | python | code | {"qsc_code_num_words": 1058, "qsc_code_num_chars": 10111.0, "qsc_code_mean_word_length": 5.3289225, "qsc_code_frac_words_unique": 0.20982987, "qsc_code_frac_chars_top_2grams": 0.02075204, "qsc_code_frac_chars_top_3grams": 0.01170628, "qsc_code_frac_chars_top_4grams": 0.01152891, "qsc_code_frac_chars_dupe_5grams": 0.254... | 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... |
0-5788719150923125/praxis | praxis/api/app.py | """Flask application setup and configuration."""
import logging
from flask import Flask, request
from flask_cors import CORS
from flask_socketio import SocketIO
from .config import CORS_ORIGINS, SOCKETIO_ASYNC_MODE
from .middleware import process_request_middleware, process_response_middleware
# Configure logging
lo... | 1,841 | app | py | en | python | code | {"qsc_code_num_words": 226, "qsc_code_num_chars": 1841.0, "qsc_code_mean_word_length": 6.05752212, "qsc_code_frac_words_unique": 0.33628319, "qsc_code_frac_chars_top_2grams": 0.07012418, "qsc_code_frac_chars_top_3grams": 0.05843682, "qsc_code_frac_chars_top_4grams": 0.05916728, "qsc_code_frac_chars_dupe_5grams": 0.1300... | 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... |
0606zt/TwinDiffusion | README.md | # ♊TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models
## Brief Look
**TwinDiffusion** is a MultiDiffusion-based framework that integrates two straightforward but effective methods to generate panoramic images with
improved quality and effici... | 2,547 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.00549666, "qsc_doc_frac_words_redpajama_stop": 0.19532909, "qsc_doc_num_sentences": 19.0, "qsc_doc_num_words": 344, "qsc_doc_num_chars": 2547.0, "qsc_doc_num_lines": 59.0, "qsc_doc_mean_word_length": 5.68313953, "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_... |
0606zt/TwinDiffusion | panorama.py | from transformers import CLIPTextModel, CLIPTokenizer, CLIPTextModelWithProjection
from diffusers import AutoencoderKL, UNet2DConditionModel, DDIMScheduler
import torch
import torch.nn as nn
import torch.nn.functional as nnf
import torchvision.transforms as TT
import numpy as np
import argparse
import os
import time
fr... | 13,736 | panorama | py | en | python | code | {"qsc_code_num_words": 1699, "qsc_code_num_chars": 13736.0, "qsc_code_mean_word_length": 4.69982343, "qsc_code_frac_words_unique": 0.15950559, "qsc_code_frac_chars_top_2grams": 0.03581716, "qsc_code_frac_chars_top_3grams": 0.02116468, "qsc_code_frac_chars_top_4grams": 0.02254227, "qsc_code_frac_chars_dupe_5grams": 0.40... | 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... |
0606zt/TwinDiffusion | app_gradio.py | import gradio as gr
import torchvision.transforms as TT
from panorama import TwinDiffusion, seed_everything
seed_everything(-1)
td = TwinDiffusion('cuda', '2.0')
def generate_panorama_fn(prompt, width, lam, view_stride, cross_time):
image = td.text2panorama_optm(
prompts=prompt,
negative_prompts=... | 2,274 | app_gradio | py | en | python | code | {"qsc_code_num_words": 277, "qsc_code_num_chars": 2274.0, "qsc_code_mean_word_length": 4.79783394, "qsc_code_frac_words_unique": 0.46570397, "qsc_code_frac_chars_top_2grams": 0.04514673, "qsc_code_frac_chars_top_3grams": 0.03912716, "qsc_code_frac_chars_top_4grams": 0.04288939, "qsc_code_frac_chars_dupe_5grams": 0.0496... | 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... |
0-5788719150923125/praxis | praxis/api/config.py | """Configuration constants for the API module."""
import logging
# Logging configuration
DEFAULT_LOG_LEVEL = logging.WARNING
DEV_LOG_LEVEL = logging.INFO
# Server configuration
DEFAULT_HOST = "localhost"
DEFAULT_PORT = 2100
PORT_RANGE_START = 2100
PORT_RANGE_END = 2120
# Timeout configuration
SERVER_START_TIMEOUT =... | 1,216 | config | py | en | python | code | {"qsc_code_num_words": 158, "qsc_code_num_chars": 1216.0, "qsc_code_mean_word_length": 5.44936709, "qsc_code_frac_words_unique": 0.56962025, "qsc_code_frac_chars_top_2grams": 0.04065041, "qsc_code_frac_chars_top_3grams": 0.03484321, "qsc_code_frac_chars_top_4grams": 0.04413473, "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... |
0-5788719150923125/praxis | praxis/controllers/attention.py | import math
from typing import List, Optional, Tuple, TypeVar
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from praxis.activations import ACT2FN
from praxis.containers.loss import LossContainer
from praxis.controllers.base import BaseController
ConfigType = TypeVar("Con... | 7,432 | attention | py | en | python | code | {"qsc_code_num_words": 845, "qsc_code_num_chars": 7432.0, "qsc_code_mean_word_length": 5.26627219, "qsc_code_frac_words_unique": 0.27928994, "qsc_code_frac_chars_top_2grams": 0.0494382, "qsc_code_frac_chars_top_3grams": 0.02359551, "qsc_code_frac_chars_top_4grams": 0.0188764, "qsc_code_frac_chars_dupe_5grams": 0.132359... | 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... |
0-5788719150923125/praxis | praxis/controllers/pathfinder.py | from typing import List, Optional, Tuple, TypeVar, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from praxis.containers.loss import LossContainer
from praxis.controllers.base import BaseController
ConfigType = TypeVar("ConfigType", bound="AutoConfig")
class Pathf... | 2,822 | pathfinder | py | en | python | code | {"qsc_code_num_words": 340, "qsc_code_num_chars": 2822.0, "qsc_code_mean_word_length": 5.24117647, "qsc_code_frac_words_unique": 0.4, "qsc_code_frac_chars_top_2grams": 0.01571268, "qsc_code_frac_chars_top_3grams": 0.0291807, "qsc_code_frac_chars_top_4grams": 0.01907969, "qsc_code_frac_chars_dupe_5grams": 0.08417508, "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... |
01joy/news-search-engine | data/news/1476.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1476</id><url>http://www.chinanews.com/cj/2020/04-02/9145604.shtml</url><title>鼓励长期医疗保险发展 银保监会引入费率调整机制</title><datetime>2020-4-2 16:38:00</datetime><body> 鼓励长期医疗保险发展中国银保监会引入费率调整机制
中新社北京4月2日电(记者王恩博)中国银保监会2日公布《关于长期医疗保险产品费率调整有关问题的通知》，通过引入费率调整机制解决医疗保险发展制度障碍，传达出鼓励发展长期医疗保险的积极信... | 1,037 | 1476 | xml | zh | xml | data | {"qsc_code_num_words": 412, "qsc_code_num_chars": 1037.0, "qsc_code_mean_word_length": 2.17475728, "qsc_code_frac_words_unique": 0.60194175, "qsc_code_frac_chars_top_2grams": 0.03571429, "qsc_code_frac_chars_top_3grams": 0.03571429, "qsc_code_frac_chars_top_4grams": 0.02232143, "qsc_code_frac_chars_dupe_5grams": 0.0535... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/595.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>595</id><url>http://www.chinanews.com/business/2020/03-31/9143255.shtml</url><title>超高清编解码王者 数码视讯再度中标总台4K项目</title><datetime>2020-3-31 16:57:00</datetime><body> 3月31日，中央电视台在“中国政府采购网”发布公告，数码视讯为其“4K超高清电视编码压缩系统(一期)(三)”压缩系统及监看监录设备等项目的中标单位。该项目将在超高清视频的频道搭建、应用实践等方面起到行业先行者的示范作用，并... | 1,055 | 595 | xml | zh | xml | data | {"qsc_code_num_words": 435, "qsc_code_num_chars": 1055.0, "qsc_code_mean_word_length": 2.06896552, "qsc_code_frac_words_unique": 0.56091954, "qsc_code_frac_chars_top_2grams": 0.05666667, "qsc_code_frac_chars_top_3grams": 0.04444444, "qsc_code_frac_chars_top_4grams": 0.03111111, "qsc_code_frac_chars_dupe_5grams": 0.0666... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/2305.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2305</id><url>http://www.chinanews.com/gj/2020/04-04/9147729.shtml</url><title>希腊或关闭公路阻返乡潮 将建立特别医疗中心</title><datetime>2020-4-4 16:13:00</datetime><body> 中新网4月4日电据欧联网援引希腊欧联通讯社报道，希腊卫生部4月3日下午宣布，希腊新冠肺炎确诊病例累计达1613例，死亡病例24小时之内增加6人，累计达59例。报道称，为控制疫情，希腊政府可能“加码”的措施包括关闭高速公路收费站阻止民众在复... | 1,174 | 2305 | xml | zh | xml | data | {"qsc_code_num_words": 517, "qsc_code_num_chars": 1174.0, "qsc_code_mean_word_length": 1.98065764, "qsc_code_frac_words_unique": 0.60154739, "qsc_code_frac_chars_top_2grams": 0.0234375, "qsc_code_frac_chars_top_3grams": 0.0234375, "qsc_code_frac_chars_top_4grams": 0.015625, "qsc_code_frac_chars_dupe_5grams": 0.01953125... | 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_words_unique": 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... |
0604hx/grid-form | README.md | <div align=center>
<h1> 格子表单 / GRID-FORM </h1>
</div>
基于 GRI... | 5,430 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.00368324, "qsc_doc_frac_words_redpajama_stop": 0.0242915, "qsc_doc_num_sentences": 109.0, "qsc_doc_num_words": 832, "qsc_doc_num_chars": 5430.0, "qsc_doc_num_lines": 190.0, "qsc_doc_mean_word_length": 4.625, "qsc_doc_frac_words_full_bracket": 0.0, "qsc_doc_frac_lines_end_with_read... | 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_... |
01joy/news-search-engine | data/news/490.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>490</id><url>http://www.chinanews.com/ga/2020/03-31/9143510.shtml</url><title>澳门特区政府收回南湾湖两幅国有土地 </title><datetime>2020-3-31 20:46:00</datetime><body> 中新社澳门3月31日电(记者龙土有)澳门特区政府31日采取跨部门联合行动，收回位于南湾湖两幅相连合共约6702平方米的国有土地。
土地工务运输局介绍，是次行动收回的土地，位于南湾湖C10、C11且已被宣告批给失效的地段，其中西湾湖街与何鸿燊博... | 644 | 490 | xml | zh | xml | data | {"qsc_code_num_words": 240, "qsc_code_num_chars": 644.0, "qsc_code_mean_word_length": 2.22916667, "qsc_code_frac_words_unique": 0.67083333, "qsc_code_frac_chars_top_2grams": 0.01682243, "qsc_code_frac_chars_top_3grams": 0.01869159, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code... | 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_words_unique": 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/bombs/WoollyBomb.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 2,580 | WoollyBomb | java | en | java | code | {"qsc_code_num_words": 323, "qsc_code_num_chars": 2580.0, "qsc_code_mean_word_length": 5.90712074, "qsc_code_frac_words_unique": 0.49535604, "qsc_code_frac_chars_top_2grams": 0.05188679, "qsc_code_frac_chars_top_3grams": 0.17924528, "qsc_code_frac_chars_top_4grams": 0.18448637, "qsc_code_frac_chars_dupe_5grams": 0.1802... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/bombs/SmokeBomb.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 2,053 | SmokeBomb | java | en | java | code | {"qsc_code_num_words": 262, "qsc_code_num_chars": 2053.0, "qsc_code_mean_word_length": 5.79770992, "qsc_code_frac_words_unique": 0.53435115, "qsc_code_frac_chars_top_2grams": 0.04147465, "qsc_code_frac_chars_top_3grams": 0.15009875, "qsc_code_frac_chars_top_4grams": 0.14483213, "qsc_code_frac_chars_dupe_5grams": 0.1263... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/bombs/RegrowthBomb.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 3,969 | RegrowthBomb | java | en | java | code | {"qsc_code_num_words": 474, "qsc_code_num_chars": 3969.0, "qsc_code_mean_word_length": 6.06962025, "qsc_code_frac_words_unique": 0.40084388, "qsc_code_frac_chars_top_2grams": 0.0531804, "qsc_code_frac_chars_top_3grams": 0.19812304, "qsc_code_frac_chars_top_4grams": 0.21411192, "qsc_code_frac_chars_dupe_5grams": 0.24852... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
01joy/news-search-engine | data/news/1444.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1444</id><url>http://www.chinanews.com/gn/2020/04-02/9145681.shtml</url><title>甘肃首批互联网医院上线 医疗质量和行为将被全程监管</title><datetime>2020-4-2 17:35:00</datetime><body> 中新网兰州4月2日电(记者徐雪)2日，甘肃省首批互联网医院上线仪式在兰州举行，该省互联网医院监管平台同步全面启用，对互联网医院的医疗质量和医疗行为进行全时段、全过程监管。
当日，甘肃省妇幼保健院、甘肃省第二人民医院、兰州大学第二... | 1,108 | 1444 | xml | zh | xml | data | {"qsc_code_num_words": 444, "qsc_code_num_chars": 1108.0, "qsc_code_mean_word_length": 2.15990991, "qsc_code_frac_words_unique": 0.56756757, "qsc_code_frac_chars_top_2grams": 0.0729927, "qsc_code_frac_chars_top_3grams": 0.02189781, "qsc_code_frac_chars_top_4grams": 0.02815433, "qsc_code_frac_chars_dupe_5grams": 0.0, "q... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1267.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1267</id><url>http://www.chinanews.com/sh/2020/04-01/9143771.shtml</url><title>评论：全面取缔占道摊点，“创文”也需兼顾民生</title><datetime>2020-4-1 04:54:00</datetime><body> 全面取缔占道摊点，“创文”也需兼顾民生
■来论
为促进消费回补、让城市重拾烟火气，近来各地推出了不少促“消”举措。陕西省、成都市、兰州市等地，还都推出了摊贩允许临时占道经营的办法。
而河南安阳官方日前发布通告，决定自2020年4月... | 974 | 1267 | xml | zh | xml | data | {"qsc_code_num_words": 406, "qsc_code_num_chars": 974.0, "qsc_code_mean_word_length": 1.97783251, "qsc_code_frac_words_unique": 0.64778325, "qsc_code_frac_chars_top_2grams": 0.01494396, "qsc_code_frac_chars_top_3grams": 0.01992528, "qsc_code_frac_chars_top_4grams": 0.02988792, "qsc_code_frac_chars_dupe_5grams": 0.04981... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/353.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>353</id><url>http://www.chinanews.com/hr/2020/03-30/9141631.shtml</url><title>工行非洲代表处邀海外华人群体参加防疫情在线讲座</title><datetime>2020-3-30 09:10:00</datetime><body> (抗击新冠疫情)工行非洲代表处邀海外华人群体参加防疫情在线讲座
中新网约翰内斯堡3月30日电(记者王曦)3月29日，在中国驻南非大使馆和中国工商银行总行的支持下，中国工商银行非洲代表处邀请在南中国留学生、孔子学院教职工和供职于南非高... | 748 | 353 | xml | zh | xml | data | {"qsc_code_num_words": 299, "qsc_code_num_chars": 748.0, "qsc_code_mean_word_length": 2.14046823, "qsc_code_frac_words_unique": 0.63545151, "qsc_code_frac_chars_top_2grams": 0.0125, "qsc_code_frac_chars_top_3grams": 0.021875, "qsc_code_frac_chars_top_4grams": 0.025, "qsc_code_frac_chars_dupe_5grams": 0.071875, "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_words_unique": 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... |
01joy/news-search-engine | data/news/914.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>914</id><url>http://www.chinanews.com/cj/2020/04-01/9144580.shtml</url><title>新冠肺炎疫情加速二手车在线交易</title><datetime>2020-4-1 20:48:00</datetime><body> (抗击新冠肺炎)新冠肺炎疫情加速二手车在线交易
中新社上海4月1日电(记者陈静)中国二手车拍卖平台天天拍车二手车大数据研究院1日发布的《2020年3月二手车在线拍卖大数据报告》显示，二手车在线拍卖市场回暖显著。
新冠肺炎疫情并未抑制人们改善和置换车... | 932 | 914 | xml | zh | xml | data | {"qsc_code_num_words": 396, "qsc_code_num_chars": 932.0, "qsc_code_mean_word_length": 1.97979798, "qsc_code_frac_words_unique": 0.6010101, "qsc_code_frac_chars_top_2grams": 0.0255102, "qsc_code_frac_chars_top_3grams": 0.03061224, "qsc_code_frac_chars_top_4grams": 0.03061224, "qsc_code_frac_chars_dupe_5grams": 0.0382653... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/2220.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2220</id><url>http://www.chinanews.com/gn/2020/04-04/9147916.shtml</url><title>综合消息：中国举行全国性哀悼活动 国际粮价上涨对中国影响有限</title><datetime>2020-4-4 21:46:00</datetime><body> (抗击新冠肺炎)综合消息：中国举行全国性哀悼活动国际粮价上涨对中国影响有限
中新社北京4月4日电为深切哀悼在抗疫一线牺牲的烈士和逝世同胞，中国4日举行全国性哀悼活动。全国和驻外使领馆下半旗志哀，全国停止公共娱乐活动。1... | 1,501 | 2220 | xml | zh | xml | data | {"qsc_code_num_words": 644, "qsc_code_num_chars": 1501.0, "qsc_code_mean_word_length": 2.02484472, "qsc_code_frac_words_unique": 0.52484472, "qsc_code_frac_chars_top_2grams": 0.03374233, "qsc_code_frac_chars_top_3grams": 0.02147239, "qsc_code_frac_chars_top_4grams": 0.02147239, "qsc_code_frac_chars_dupe_5grams": 0.1579... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1384.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1384</id><url>http://www.chinanews.com/cj/2020/04-02/9145858.shtml</url><title>赣州国际陆港中欧(亚)班列步入正轨</title><datetime>2020-4-2 20:27:00</datetime><body> (抗击新冠肺炎)赣州国际陆港中欧(亚)班列步入正轨
中新网赣州4月2日电(吴鹏泉廖国胜)4月1日晚间，X9238次中亚班列搭载42辆价值500万美元的鞋子、服装、日用百货、机械设备等货物，从赣州国际陆港开往哈萨克斯坦、塔吉克斯坦和乌兹别克斯坦。... | 958 | 1384 | xml | zh | xml | data | {"qsc_code_num_words": 376, "qsc_code_num_chars": 958.0, "qsc_code_mean_word_length": 2.13829787, "qsc_code_frac_words_unique": 0.63297872, "qsc_code_frac_chars_top_2grams": 0.06467662, "qsc_code_frac_chars_top_3grams": 0.08208955, "qsc_code_frac_chars_top_4grams": 0.0199005, "qsc_code_frac_chars_dupe_5grams": 0.067164... | 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_words_unique": 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/quest/MetalShard.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,336 | MetalShard | java | en | java | code | {"qsc_code_num_words": 175, "qsc_code_num_chars": 1336.0, "qsc_code_mean_word_length": 5.63428571, "qsc_code_frac_words_unique": 0.60571429, "qsc_code_frac_chars_top_2grams": 0.05679513, "qsc_code_frac_chars_top_3grams": 0.03955375, "qsc_code_frac_chars_top_4grams": 0.05780933, "qsc_code_frac_chars_dupe_5grams": 0.0831... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/quest/GooBlob.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,331 | GooBlob | java | en | java | code | {"qsc_code_num_words": 175, "qsc_code_num_chars": 1331.0, "qsc_code_mean_word_length": 5.61142857, "qsc_code_frac_words_unique": 0.60571429, "qsc_code_frac_chars_top_2grams": 0.05702648, "qsc_code_frac_chars_top_3grams": 0.03971487, "qsc_code_frac_chars_top_4grams": 0.05804481, "qsc_code_frac_chars_dupe_5grams": 0.0835... | 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... |
0-5788719150923125/praxis | praxis/attention/syntaxes.py | import math
from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from transformers import DynamicCache
from praxis.encoding import ENCODING_REGISTRY
class SyntaxesAttention(nn.Module):
"""
Syntaxes Attention: All queries attend... | 7,713 | syntaxes | py | en | python | code | {"qsc_code_num_words": 973, "qsc_code_num_chars": 7713.0, "qsc_code_mean_word_length": 4.89619733, "qsc_code_frac_words_unique": 0.21788284, "qsc_code_frac_chars_top_2grams": 0.06234257, "qsc_code_frac_chars_top_3grams": 0.03526448, "qsc_code_frac_chars_top_4grams": 0.02350966, "qsc_code_frac_chars_dupe_5grams": 0.2489... | 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... |
0-5788719150923125/praxis | praxis/attention/sparse_query.py | import math
import random
import uuid
from typing import Any, List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
class SparseQuery(nn.Module):
"""
A sparse linear layer using GMM routing that only computes and stores top-k heads.
Inspi... | 15,451 | sparse_query | py | en | python | code | {"qsc_code_num_words": 1984, "qsc_code_num_chars": 15451.0, "qsc_code_mean_word_length": 4.52721774, "qsc_code_frac_words_unique": 0.16985887, "qsc_code_frac_chars_top_2grams": 0.02850145, "qsc_code_frac_chars_top_3grams": 0.02326876, "qsc_code_frac_chars_top_4grams": 0.02004008, "qsc_code_frac_chars_dupe_5grams": 0.19... | 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... |
01joy/news-search-engine | data/news/421.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>421</id><url>http://www.chinanews.com/gj/2020/03-31/9143689.shtml</url><title>西班牙新冠肺炎确诊人数逼近10万 单日新增死亡病例创新高</title><datetime>2020-3-31 23:33:00</datetime><body> (抗击新冠肺炎)西班牙新冠肺炎确诊人数逼近10万单日新增死亡病例创新高
中新社北京3月31日电马德里消息：据西班牙卫生部31日通报，西班牙24小时内新增9222例新冠肺炎确诊病例，累计确诊94417例；新增849例死亡病例... | 779 | 421 | xml | zh | xml | data | {"qsc_code_num_words": 307, "qsc_code_num_chars": 779.0, "qsc_code_mean_word_length": 2.12052117, "qsc_code_frac_words_unique": 0.66123779, "qsc_code_frac_chars_top_2grams": 0.03072197, "qsc_code_frac_chars_top_3grams": 0.02764977, "qsc_code_frac_chars_top_4grams": 0.03686636, "qsc_code_frac_chars_dupe_5grams": 0.08294... | 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_words_unique": 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... |
05sec/Cardinal | internal/misc/webhook/webhook.go | package webhook
import (
"net/http"
"strconv"
"time"
"github.com/gin-gonic/gin"
"github.com/jinzhu/gorm"
"github.com/parnurzeal/gorequest"
"github.com/patrickmn/go-cache"
"github.com/thanhpk/randstr"
"github.com/vidar-team/Cardinal/internal/dbold"
"github.com/vidar-team/Cardinal/internal/locales"
"github.c... | 6,267 | webhook | go | en | go | code | {"qsc_code_num_words": 796, "qsc_code_num_chars": 6267.0, "qsc_code_mean_word_length": 5.39321608, "qsc_code_frac_words_unique": 0.20979899, "qsc_code_frac_chars_top_2grams": 0.04751922, "qsc_code_frac_chars_top_3grams": 0.03913347, "qsc_code_frac_chars_top_4grams": 0.0423946, "qsc_code_frac_chars_dupe_5grams": 0.66876... | 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... |
0-5788719150923125/praxis | praxis/attention/thc.py | """
Temporal Health Complex (THC) Module for Transformers
Enhances temporal reasoning using complex numbers in a computationally efficient way.
The module uses complex-valued convolutions to learn phase relationships between tokens,
improving the model's ability to understand temporal patterns and generalize across
se... | 13,957 | thc | py | en | python | code | {"qsc_code_num_words": 1735, "qsc_code_num_chars": 13957.0, "qsc_code_mean_word_length": 4.92507205, "qsc_code_frac_words_unique": 0.18559078, "qsc_code_frac_chars_top_2grams": 0.03159743, "qsc_code_frac_chars_top_3grams": 0.02527794, "qsc_code_frac_chars_top_4grams": 0.01263897, "qsc_code_frac_chars_dupe_5grams": 0.29... | 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... |
0-5788719150923125/praxis | praxis/attention/flex_attention.py | """
FlexAttention module for causal language modeling using PyTorch's FlexAttention.
Based on the efficient attention implementation with block masking support.
"""
import math
from typing import Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
class FlexAt... | 7,977 | flex_attention | py | en | python | code | {"qsc_code_num_words": 1033, "qsc_code_num_chars": 7977.0, "qsc_code_mean_word_length": 4.55469506, "qsc_code_frac_words_unique": 0.20329138, "qsc_code_frac_chars_top_2grams": 0.03910733, "qsc_code_frac_chars_top_3grams": 0.02104145, "qsc_code_frac_chars_top_4grams": 0.0272051, "qsc_code_frac_chars_dupe_5grams": 0.1464... | 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... |
05sec/Cardinal | internal/auth/manager/manager.go | package manager
import (
"strconv"
"github.com/gin-gonic/gin"
"github.com/jinzhu/gorm"
"github.com/thanhpk/randstr"
"github.com/vidar-team/Cardinal/internal/dbold"
"github.com/vidar-team/Cardinal/internal/locales"
"github.com/vidar-team/Cardinal/internal/logger"
"github.com/vidar-team/Cardinal/internal/utils"... | 6,686 | manager | go | en | go | code | {"qsc_code_num_words": 882, "qsc_code_num_chars": 6686.0, "qsc_code_mean_word_length": 5.20408163, "qsc_code_frac_words_unique": 0.17120181, "qsc_code_frac_chars_top_2grams": 0.05511983, "qsc_code_frac_chars_top_3grams": 0.06013072, "qsc_code_frac_chars_top_4grams": 0.06514161, "qsc_code_frac_chars_dupe_5grams": 0.6250... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/food/Blandfruit.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 10,313 | Blandfruit | java | en | java | code | {"qsc_code_num_words": 1062, "qsc_code_num_chars": 10313.0, "qsc_code_mean_word_length": 7.20150659, "qsc_code_frac_words_unique": 0.22975518, "qsc_code_frac_chars_top_2grams": 0.09780335, "qsc_code_frac_chars_top_3grams": 0.13912134, "qsc_code_frac_chars_top_4grams": 0.15533473, "qsc_code_frac_chars_dupe_5grams": 0.27... | 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... |
0-5788719150923125/praxis | praxis/utils/memory.py | """Memory information utilities."""
import torch
def get_memory_info(target_device=None):
"""Get current RAM and VRAM usage information."""
memory_info = {}
try:
# Get RAM information
import psutil
ram = psutil.virtual_memory()
memory_info["ram_used"] = f"{ram.used / (10... | 2,897 | memory | py | en | python | code | {"qsc_code_num_words": 348, "qsc_code_num_chars": 2897.0, "qsc_code_mean_word_length": 4.27011494, "qsc_code_frac_words_unique": 0.20977011, "qsc_code_frac_chars_top_2grams": 0.14131898, "qsc_code_frac_chars_top_3grams": 0.0807537, "qsc_code_frac_chars_top_4grams": 0.08479139, "qsc_code_frac_chars_dupe_5grams": 0.50471... | 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... |
0-5788719150923125/praxis | praxis/optimizers/__init__.py | from pytorch_optimizer import create_optimizer
from pytorch_optimizer.optimizer import TRAC, Lookahead, OrthoGrad, ScheduleFreeWrapper
from praxis.optimizers.param_counter import (
count_model_parameters,
count_optimizer_parameters,
get_parameter_stats,
)
def get_optimizer_profile(name="AdamW", disable_s... | 3,136 | __init__ | py | en | python | code | {"qsc_code_num_words": 375, "qsc_code_num_chars": 3136.0, "qsc_code_mean_word_length": 4.896, "qsc_code_frac_words_unique": 0.34933333, "qsc_code_frac_chars_top_2grams": 0.07189542, "qsc_code_frac_chars_top_3grams": 0.04575163, "qsc_code_frac_chars_top_4grams": 0.03540305, "qsc_code_frac_chars_dupe_5grams": 0.06045752,... | 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... |
01joy/news-search-engine | data/news/2363.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2363</id><url>http://www.chinanews.com/gj/2020/04-04/9147574.shtml</url><title>“77国集团和中国”呼吁为抗击疫情解除针对发展中国家单方面强制措施</title><datetime>2020-4-4 11:48:00</datetime><body> “77国集团和中国”呼吁为抗击疫情解除针对发展中国家单方面强制措施
新华社联合国4月3日电（记者王建刚）“77国集团和中国”3日发表声明，呼吁国际社会为抗击新冠疫情解除所有对发展中国家所采取的单方面胁迫性经济措施... | 810 | 2363 | xml | zh | xml | data | {"qsc_code_num_words": 330, "qsc_code_num_chars": 810.0, "qsc_code_mean_word_length": 2.10606061, "qsc_code_frac_words_unique": 0.5969697, "qsc_code_frac_chars_top_2grams": 0.03021583, "qsc_code_frac_chars_top_3grams": 0.05035971, "qsc_code_frac_chars_top_4grams": 0.03453237, "qsc_code_frac_chars_dupe_5grams": 0.141007... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1819.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1819</id><url>http://www.chinanews.com/cj/2020/04-03/9147098.shtml</url><title>安徽首提培育“四个一百”冠军企业 将培育专精特新冠军企业400户 </title><datetime>2020-4-3 21:04:00</datetime><body> 中新网合肥4月3日电(记者吴兰)记者3日从安徽省政府新闻办举行的新闻发布会上获悉，该省近日正式印发《进一步发挥专精特新排头兵作用促进中小企业高质量发展的实施意见》，首次提出培育“四个一百”冠军企业的目标——到202... | 939 | 1819 | xml | zh | xml | data | {"qsc_code_num_words": 370, "qsc_code_num_chars": 939.0, "qsc_code_mean_word_length": 2.13243243, "qsc_code_frac_words_unique": 0.55675676, "qsc_code_frac_chars_top_2grams": 0.07604563, "qsc_code_frac_chars_top_3grams": 0.05323194, "qsc_code_frac_chars_top_4grams": 0.07097592, "qsc_code_frac_chars_dupe_5grams": 0.17490... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/856.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>856</id><url>http://www.chinanews.com/gn/2020/04-01/9144803.shtml</url><title>评论：打造监督闭环，为脱贫攻坚提供坚强纪律保障</title><datetime>2020-4-1 22:18:00</datetime><body> 【地评线】大河网评：打造监督闭环，为脱贫攻坚提供坚强纪律保障
今年是全面打赢脱贫攻坚战收官之年，确保政策执行不走样、资金使用不偏向、贫困群众得实惠是打赢脱贫攻坚战的关键所在。各级党员干部要心无旁骛抓落实，聚精会神打硬仗，严格执行政策纪... | 1,515 | 856 | xml | zh | xml | data | {"qsc_code_num_words": 622, "qsc_code_num_chars": 1515.0, "qsc_code_mean_word_length": 2.0562701, "qsc_code_frac_words_unique": 0.56430868, "qsc_code_frac_chars_top_2grams": 0.01876466, "qsc_code_frac_chars_top_3grams": 0.01407349, "qsc_code_frac_chars_top_4grams": 0.01641908, "qsc_code_frac_chars_dupe_5grams": 0.04378... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1421.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1421</id><url>http://www.chinanews.com/cj/2020/04-02/9145754.shtml</url><title>安徽已建5G基站4492个 对黄山等重点景区覆盖</title><datetime>2020-4-2 18:48:00</datetime><body> 中新社合肥4月2日电(记者吴兰)记者从安徽省政府新闻办2日举行的发布会上获悉，该省已建成5G基站4492个。安徽省计划到今年底建成5G基站达1.5万个以上，同时完成对黄山、九华山、天柱山等重点风景区的覆盖。
据介绍，自去年6月中国... | 939 | 1421 | xml | zh | xml | data | {"qsc_code_num_words": 367, "qsc_code_num_chars": 939.0, "qsc_code_mean_word_length": 2.13896458, "qsc_code_frac_words_unique": 0.62125341, "qsc_code_frac_chars_top_2grams": 0.03057325, "qsc_code_frac_chars_top_3grams": 0.03057325, "qsc_code_frac_chars_top_4grams": 0.0343949, "qsc_code_frac_chars_dupe_5grams": 0.124840... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1798.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1798</id><url>http://www.chinanews.com/gn/2020/04-03/9147235.shtml</url><title>北京：4月4日全市各级党政机关等单位下半旗志哀</title><datetime>2020-4-3 21:38:00</datetime><body> 中新网4月3日电据北京市人民政府网站消息，北京市人民政府办公厅日前印发《关于贯彻国务院办公厅通知精神为新冠肺炎疫情牺牲烈士和逝世同胞举行全国性哀悼活动的通知》(以下简称《通知》)。《通知》指出，4月4日当天，全市各级党政机关、社会团体... | 697 | 1798 | xml | zh | xml | data | {"qsc_code_num_words": 263, "qsc_code_num_chars": 697.0, "qsc_code_mean_word_length": 2.14828897, "qsc_code_frac_words_unique": 0.58935361, "qsc_code_frac_chars_top_2grams": 0.02123894, "qsc_code_frac_chars_top_3grams": 0.02654867, "qsc_code_frac_chars_top_4grams": 0.03539823, "qsc_code_frac_chars_dupe_5grams": 0.25132... | 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_words_unique": 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/bombs/FrostBomb.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 2,191 | FrostBomb | java | en | java | code | {"qsc_code_num_words": 277, "qsc_code_num_chars": 2191.0, "qsc_code_mean_word_length": 5.97472924, "qsc_code_frac_words_unique": 0.50541516, "qsc_code_frac_chars_top_2grams": 0.05981873, "qsc_code_frac_chars_top_3grams": 0.22960725, "qsc_code_frac_chars_top_4grams": 0.23927492, "qsc_code_frac_chars_dupe_5grams": 0.2429... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
01joy/news-search-engine | data/news/695.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>695</id><url>http://www.chinanews.com/gn/2020/03-31/9142951.shtml</url><title>委内瑞拉政府感谢中国派遣抗疫医疗专家组</title><datetime>2020-3-31 12:54:00</datetime><body> 委内瑞拉政府感谢中国派遣抗疫医疗专家组
新华社加拉加斯3月30日电（记者徐烨 王瑛）中国向委内瑞拉派遣的抗疫医疗专家组30日凌晨抵达委内瑞拉，委多名政要对专家组的到来表示欢迎并对中国政府和人民表示感谢。
委总统马杜罗30日不仅在个人推特账... | 735 | 695 | xml | zh | xml | data | {"qsc_code_num_words": 274, "qsc_code_num_chars": 735.0, "qsc_code_mean_word_length": 2.27737226, "qsc_code_frac_words_unique": 0.61678832, "qsc_code_frac_chars_top_2grams": 0.0400641, "qsc_code_frac_chars_top_3grams": 0.04487179, "qsc_code_frac_chars_top_4grams": 0.03846154, "qsc_code_frac_chars_dupe_5grams": 0.060897... | 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_words_unique": 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... |
0-5788719150923125/praxis | praxis/trainers/trainer.py | """Framework-agnostic trainer implementation."""
from typing import Any, Dict, List, Optional, Union
import logging
from praxis.trainers.base import BaseTrainer, TrainerConfig
class Trainer:
"""Framework-agnostic trainer that delegates to specific implementations.
This class provides a unified interface for... | 5,202 | trainer | py | en | python | code | {"qsc_code_num_words": 535, "qsc_code_num_chars": 5202.0, "qsc_code_mean_word_length": 5.95700935, "qsc_code_frac_words_unique": 0.26542056, "qsc_code_frac_chars_top_2grams": 0.03451522, "qsc_code_frac_chars_top_3grams": 0.0298086, "qsc_code_frac_chars_top_4grams": 0.02761217, "qsc_code_frac_chars_dupe_5grams": 0.25384... | 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... |
0-5788719150923125/praxis | praxis/trainers/compile.py | """Model and optimizer compilation utilities for torch.compile."""
import torch
from praxis.environments import EnvironmentFeatures
def try_compile(obj, hparams):
"""
Attempt to compile a PyTorch model or optimizer with torch.compile.
Falls back to uncompiled object if compilation fails or is not support... | 1,134 | compile | py | en | python | code | {"qsc_code_num_words": 130, "qsc_code_num_chars": 1134.0, "qsc_code_mean_word_length": 5.80769231, "qsc_code_frac_words_unique": 0.56153846, "qsc_code_frac_chars_top_2grams": 0.04768212, "qsc_code_frac_chars_top_3grams": 0.04238411, "qsc_code_frac_chars_top_4grams": 0.06357616, "qsc_code_frac_chars_dupe_5grams": 0.0688... | 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... |
0-5788719150923125/praxis | praxis/trainers/capabilities.py | """Trainer capabilities system for defining trainer-specific features and limitations."""
from dataclasses import dataclass
from typing import Dict, Any, Optional
@dataclass
class TrainerCapabilities:
"""
Defines the capabilities and limitations of a trainer type.
This allows the system to adapt its beh... | 2,740 | capabilities | py | en | python | code | {"qsc_code_num_words": 290, "qsc_code_num_chars": 2740.0, "qsc_code_mean_word_length": 6.76206897, "qsc_code_frac_words_unique": 0.32068966, "qsc_code_frac_chars_top_2grams": 0.04487506, "qsc_code_frac_chars_top_3grams": 0.04436512, "qsc_code_frac_chars_top_4grams": 0.02447731, "qsc_code_frac_chars_dupe_5grams": 0.2335... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/potions/Potion.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 16,551 | Potion | java | en | java | code | {"qsc_code_num_words": 1780, "qsc_code_num_chars": 16551.0, "qsc_code_mean_word_length": 6.64831461, "qsc_code_frac_words_unique": 0.22359551, "qsc_code_frac_chars_top_2grams": 0.03878655, "qsc_code_frac_chars_top_3grams": 0.15413216, "qsc_code_frac_chars_top_4grams": 0.17475072, "qsc_code_frac_chars_dupe_5grams": 0.34... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/potions/PotionOfHealing.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 3,376 | PotionOfHealing | java | en | java | code | {"qsc_code_num_words": 419, "qsc_code_num_chars": 3376.0, "qsc_code_mean_word_length": 6.1575179, "qsc_code_frac_words_unique": 0.38186158, "qsc_code_frac_chars_top_2grams": 0.1251938, "qsc_code_frac_chars_top_3grams": 0.27984496, "qsc_code_frac_chars_top_4grams": 0.30697674, "qsc_code_frac_chars_dupe_5grams": 0.305038... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
0-5788719150923125/praxis | praxis/trainers/base.py | """Base trainer interface for framework-agnostic training."""
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Union
import logging
class BaseTrainer(ABC):
"""Abstract base class for all trainers."""
@abstractmethod
def fit(self, model: Any, datamodule: Any, **kwargs) ->... | 5,975 | base | py | en | python | code | {"qsc_code_num_words": 714, "qsc_code_num_chars": 5975.0, "qsc_code_mean_word_length": 5.12464986, "qsc_code_frac_words_unique": 0.22829132, "qsc_code_frac_chars_top_2grams": 0.06504509, "qsc_code_frac_chars_top_3grams": 0.063132, "qsc_code_frac_chars_top_4grams": 0.04427439, "qsc_code_frac_chars_dupe_5grams": 0.291883... | 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... |
0-5788719150923125/praxis | praxis/trainers/module.py | """Generic training module interface."""
from abc import ABC, abstractmethod
from typing import Any, Dict, Optional, Tuple
import torch
import torch.nn as nn
class BaseTrainingModule(ABC):
"""Abstract base class for training modules.
This provides a framework-agnostic interface for models that can be traine... | 1,860 | module | py | en | python | code | {"qsc_code_num_words": 218, "qsc_code_num_chars": 1860.0, "qsc_code_mean_word_length": 5.16513761, "qsc_code_frac_words_unique": 0.36697248, "qsc_code_frac_chars_top_2grams": 0.07548845, "qsc_code_frac_chars_top_3grams": 0.07460036, "qsc_code_frac_chars_top_4grams": 0.05683837, "qsc_code_frac_chars_dupe_5grams": 0.4387... | 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... |
0-5788719150923125/praxis | praxis/trainers/mono_forward_pipeline.py | """MonoForward Pipeline Trainer with Process-based Layer Workers.
This implements true pipeline parallelism where each layer runs in its own process,
enabling layers to process different batches simultaneously without waiting for
backpropagation through the entire network.
Based on "Mono-Forward: Backpropagation-Free... | 26,224 | mono_forward_pipeline | py | en | python | code | {"qsc_code_num_words": 2867, "qsc_code_num_chars": 26224.0, "qsc_code_mean_word_length": 5.21450994, "qsc_code_frac_words_unique": 0.18346704, "qsc_code_frac_chars_top_2grams": 0.0290301, "qsc_code_frac_chars_top_3grams": 0.0064214, "qsc_code_frac_chars_top_4grams": 0.00802676, "qsc_code_frac_chars_dupe_5grams": 0.1551... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/potions/PotionOfLiquidFlame.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,894 | PotionOfLiquidFlame | java | en | java | code | {"qsc_code_num_words": 240, "qsc_code_num_chars": 1894.0, "qsc_code_mean_word_length": 5.94583333, "qsc_code_frac_words_unique": 0.55, "qsc_code_frac_chars_top_2grams": 0.0504555, "qsc_code_frac_chars_top_3grams": 0.18640505, "qsc_code_frac_chars_top_4grams": 0.1850035, "qsc_code_frac_chars_dupe_5grams": 0.17659425, "q... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
01joy/news-search-engine | data/news/2171.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2171</id><url>http://www.chinanews.com/house/2020/04-03/9146155.shtml</url><title>交易网签备案恢复 武汉3天成交123套新房</title><datetime>2020-4-3 05:35:00</datetime><body> 交易网签备案恢复 武汉3天成交123套新房
长江日报讯（记者廖桥）4月2日获悉，武汉房地产市场正在“重启”，首批新房预售许可证已下发，交易网签备案恢复3天以来，已有123套新房线上成交。
当天，长江日报记者从市房管局获悉，目... | 640 | 2171 | xml | zh | xml | data | {"qsc_code_num_words": 246, "qsc_code_num_chars": 640.0, "qsc_code_mean_word_length": 2.13414634, "qsc_code_frac_words_unique": 0.59349593, "qsc_code_frac_chars_top_2grams": 0.03809524, "qsc_code_frac_chars_top_3grams": 0.05714286, "qsc_code_frac_chars_top_4grams": 0.04571429, "qsc_code_frac_chars_dupe_5grams": 0.07619... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/1634.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1634</id><url>http://www.chinanews.com/hr/2020/04-02/9145134.shtml</url><title>马来西亚三名华裔儿童改编歌曲致敬抗疫一线人员 </title><datetime>2020-4-2 11:20:00</datetime><body> 中国侨网4月2日电据马来西亚星洲网消息，日前，马来西亚三名华裔儿童在行动管制令期间拍摄多个宣传行管令和疫情防控的视频，并改编歌曲向抗疫前线人员致敬。
这三个孩子来自同一家庭，是分别在美里中华公学就读五年级的谢轩、三年级的谢安棋及一年... | 554 | 1634 | xml | zh | xml | data | {"qsc_code_num_words": 187, "qsc_code_num_chars": 554.0, "qsc_code_mean_word_length": 2.37967914, "qsc_code_frac_words_unique": 0.71657754, "qsc_code_frac_chars_top_2grams": 0.02696629, "qsc_code_frac_chars_top_3grams": 0.03595506, "qsc_code_frac_chars_top_4grams": 0.04494382, "qsc_code_frac_chars_dupe_5grams": 0.0, "q... | 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_words_unique": 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... |
0-5788719150923125/praxis | praxis/trainers/lightning_trainer.py | """PyTorch Lightning trainer implementation."""
from typing import Any, Dict, List, Optional, Union
import warnings
# Lightning imports - centralized here
from lightning.fabric.utilities.seed import reset_seed, seed_everything
from lightning.pytorch import LightningModule, Trainer
from lightning.pytorch.callbacks imp... | 6,731 | lightning_trainer | py | en | python | code | {"qsc_code_num_words": 741, "qsc_code_num_chars": 6731.0, "qsc_code_mean_word_length": 5.85425101, "qsc_code_frac_words_unique": 0.22267206, "qsc_code_frac_chars_top_2grams": 0.02074689, "qsc_code_frac_chars_top_3grams": 0.01267865, "qsc_code_frac_chars_top_4grams": 0.02028585, "qsc_code_frac_chars_dupe_5grams": 0.1260... | 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... |
0-5788719150923125/praxis | praxis/trainers/layer_wise.py | """LayerWithOptimizer: A module wrapper that includes its own optimizer for immediate updates."""
from typing import Any, Callable, Dict, Optional, Tuple, Type
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.optim import Optimizer
class LayerWithOptimizer(nn.Module):
"""
Wraps ... | 7,935 | layer_wise | py | en | python | code | {"qsc_code_num_words": 880, "qsc_code_num_chars": 7935.0, "qsc_code_mean_word_length": 5.20795455, "qsc_code_frac_words_unique": 0.26704545, "qsc_code_frac_chars_top_2grams": 0.01963779, "qsc_code_frac_chars_top_3grams": 0.01200087, "qsc_code_frac_chars_top_4grams": 0.01243727, "qsc_code_frac_chars_dupe_5grams": 0.1110... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/potions/PotionOfInvisibility.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,768 | PotionOfInvisibility | java | en | java | code | {"qsc_code_num_words": 223, "qsc_code_num_chars": 1768.0, "qsc_code_mean_word_length": 6.12556054, "qsc_code_frac_words_unique": 0.56950673, "qsc_code_frac_chars_top_2grams": 0.09956076, "qsc_code_frac_chars_top_3grams": 0.22254758, "qsc_code_frac_chars_top_4grams": 0.22547584, "qsc_code_frac_chars_dupe_5grams": 0.1771... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/potions/PotionOfStrength.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 1,926 | PotionOfStrength | java | en | java | code | {"qsc_code_num_words": 232, "qsc_code_num_chars": 1926.0, "qsc_code_mean_word_length": 6.31034483, "qsc_code_frac_words_unique": 0.56034483, "qsc_code_frac_chars_top_2grams": 0.09289617, "qsc_code_frac_chars_top_3grams": 0.20765027, "qsc_code_frac_chars_top_4grams": 0.21038251, "qsc_code_frac_chars_dupe_5grams": 0.1256... | 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": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/bombs/ShrapnelBomb.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 2,673 | ShrapnelBomb | java | en | java | code | {"qsc_code_num_words": 335, "qsc_code_num_chars": 2673.0, "qsc_code_mean_word_length": 5.76716418, "qsc_code_frac_words_unique": 0.49552239, "qsc_code_frac_chars_top_2grams": 0.04192547, "qsc_code_frac_chars_top_3grams": 0.1573499, "qsc_code_frac_chars_top_4grams": 0.15942029, "qsc_code_frac_chars_dupe_5grams": 0.14699... | 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... |
00-Evan/shattered-pixel-dungeon | core/src/main/java/com/shatteredpixel/shatteredpixeldungeon/items/bombs/Noisemaker.java | /*
* Pixel Dungeon
* Copyright (C) 2012-2015 Oleg Dolya
*
* Shattered Pixel Dungeon
* Copyright (C) 2014-2025 Evan Debenham
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either vers... | 4,204 | Noisemaker | java | en | java | code | {"qsc_code_num_words": 502, "qsc_code_num_chars": 4204.0, "qsc_code_mean_word_length": 5.78286853, "qsc_code_frac_words_unique": 0.42031873, "qsc_code_frac_chars_top_2grams": 0.03410265, "qsc_code_frac_chars_top_3grams": 0.13089907, "qsc_code_frac_chars_top_4grams": 0.13641061, "qsc_code_frac_chars_dupe_5grams": 0.1398... | 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... |
0-5788719150923125/praxis | praxis/optimizers/param_counter.py | """Parameter counting utilities for models and optimizers."""
import torch
import torch.nn as nn
from typing import Dict, Any, Optional
def count_model_parameters(model: nn.Module) -> int:
"""Count total parameters in a model.
Args:
model: The PyTorch model to count parameters for
Returns:
... | 2,495 | param_counter | py | en | python | code | {"qsc_code_num_words": 294, "qsc_code_num_chars": 2495.0, "qsc_code_mean_word_length": 5.24489796, "qsc_code_frac_words_unique": 0.26190476, "qsc_code_frac_chars_top_2grams": 0.04863813, "qsc_code_frac_chars_top_3grams": 0.01167315, "qsc_code_frac_chars_top_4grams": 0.03242542, "qsc_code_frac_chars_dupe_5grams": 0.2632... | 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... |
0-5788719150923125/praxis | praxis/tools/__init__.py | import json
import math
from typing import Any, Dict, List, Optional, Union
class Tool:
"""Simple tool wrapper to replace smolagents."""
def __init__(self, func, name=None, description=None, parameters=None):
self.func = func
self.name = name or func.__name__
self.description = descri... | 6,907 | __init__ | py | en | python | code | {"qsc_code_num_words": 788, "qsc_code_num_chars": 6907.0, "qsc_code_mean_word_length": 4.85406091, "qsc_code_frac_words_unique": 0.22208122, "qsc_code_frac_chars_top_2grams": 0.02928105, "qsc_code_frac_chars_top_3grams": 0.02509804, "qsc_code_frac_chars_top_4grams": 0.03137255, "qsc_code_frac_chars_dupe_5grams": 0.2669... | 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... |
0-5788719150923125/praxis | praxis/environments/__init__.py | """
Environment Features System
This module provides a registry for environment-aware feature flags that control
runtime behavior without changing model architecture. Features are set from
environment configurations and can be queried throughout the codebase.
Example:
from praxis.environments import EnvironmentFe... | 3,030 | __init__ | py | en | python | code | {"qsc_code_num_words": 351, "qsc_code_num_chars": 3030.0, "qsc_code_mean_word_length": 5.50997151, "qsc_code_frac_words_unique": 0.28205128, "qsc_code_frac_chars_top_2grams": 0.07032058, "qsc_code_frac_chars_top_3grams": 0.02792141, "qsc_code_frac_chars_top_4grams": 0.02481903, "qsc_code_frac_chars_dupe_5grams": 0.2182... | 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... |
0-5788719150923125/praxis | praxis/data/__init__.py | """Praxis data loading and processing utilities."""
# Core data structures and configuration
from praxis.data.config import (
DataFormat,
DATASET_COLLECTIONS,
HUGGINGFACE_DATASETS,
SYSTEM_PROMPT,
DEVELOPER_PROMPTS,
DEFAULT_WEIGHT,
SRC_WEIGHT,
DIR_WEIGHT,
TOOLS_WEIGHT,
)
# Data form... | 2,608 | __init__ | py | en | python | code | {"qsc_code_num_words": 241, "qsc_code_num_chars": 2608.0, "qsc_code_mean_word_length": 7.19087137, "qsc_code_frac_words_unique": 0.34854772, "qsc_code_frac_chars_top_2grams": 0.04039238, "qsc_code_frac_chars_top_3grams": 0.04847086, "qsc_code_frac_chars_top_4grams": 0.04270052, "qsc_code_frac_chars_dupe_5grams": 0.7085... | 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... |
01joy/news-search-engine | data/news/1881.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>1881</id><url>http://www.chinanews.com/gn/2020/04-03/9147025.shtml</url><title>北京向经开区赋权165项市级管理权限 加快推进全国科技创新中心建设</title><datetime>2020-4-3 18:22:00</datetime><body> 新华社北京4月3日电(记者郭宇靖)记者3日从北京市人民政府新闻发布会获悉，北京市决定向北京经济技术开发区赋予165项市级管理权限，推动国家及北京市重大产业项目优先在北京经济技术开发区布局，支持北京市出台的改革开放政... | 1,038 | 1881 | xml | zh | xml | data | {"qsc_code_num_words": 380, "qsc_code_num_chars": 1038.0, "qsc_code_mean_word_length": 2.37105263, "qsc_code_frac_words_unique": 0.59210526, "qsc_code_frac_chars_top_2grams": 0.02219756, "qsc_code_frac_chars_top_3grams": 0.0199778, "qsc_code_frac_chars_top_4grams": 0.02663707, "qsc_code_frac_chars_dupe_5grams": 0.09988... | 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_words_unique": 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... |
01joy/news-search-engine | data/news/2335.xml | <?xml version='1.0' encoding='utf-8'?>
<doc><id>2335</id><url>http://www.chinanews.com/sh/2020/04-04/9147641.shtml</url><title>福建新增境外输入确诊1例 复工复产率持续提高</title><datetime>2020-4-4 14:03:00</datetime><body> (抗击新冠肺炎)福建新增境外输入确诊1例复工复产率持续提高
中新社福州4月4日电(龙敏郑江洛)据福建省卫生健康委员会4日通报，4月3日0时到24时，福建省报告新增境外输入确诊病例1例，为阿联酋输入(福州市报告)；新增境外输入无症状感染... | 1,209 | 2335 | xml | zh | xml | data | {"qsc_code_num_words": 489, "qsc_code_num_chars": 1209.0, "qsc_code_mean_word_length": 2.11656442, "qsc_code_frac_words_unique": 0.60122699, "qsc_code_frac_chars_top_2grams": 0.02705314, "qsc_code_frac_chars_top_3grams": 0.02318841, "qsc_code_frac_chars_top_4grams": 0.02318841, "qsc_code_frac_chars_dupe_5grams": 0.0618... | 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_words_unique": 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... |
0-5788719150923125/praxis | praxis/compression/sequence_interpolation.py | from typing import List, Tuple, TypeVar, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from praxis.compression.base import NoCompression
from praxis.utils import create_block_ids
ConfigType = TypeVar("ConfigType", bound="AutoConfig")
class SequenceInterpolation(N... | 16,370 | sequence_interpolation | py | en | python | code | {"qsc_code_num_words": 2093, "qsc_code_num_chars": 16370.0, "qsc_code_mean_word_length": 4.97993311, "qsc_code_frac_words_unique": 0.14237936, "qsc_code_frac_chars_top_2grams": 0.05219227, "qsc_code_frac_chars_top_3grams": 0.023026, "qsc_code_frac_chars_top_4grams": 0.02245035, "qsc_code_frac_chars_dupe_5grams": 0.4269... | 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... |
0-5788719150923125/praxis | praxis/residuals/hyper.py | import random
from typing import Any, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from praxis.residuals.base import ResidualConnection
class HyperConnection(ResidualConnection):
"""
This module implements static hyper-connections, which ... | 5,469 | hyper | py | en | python | code | {"qsc_code_num_words": 730, "qsc_code_num_chars": 5469.0, "qsc_code_mean_word_length": 4.19041096, "qsc_code_frac_words_unique": 0.21232877, "qsc_code_frac_chars_top_2grams": 0.02942138, "qsc_code_frac_chars_top_3grams": 0.03530566, "qsc_code_frac_chars_top_4grams": 0.04707421, "qsc_code_frac_chars_dupe_5grams": 0.3435... | 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... |
0-5788719150923125/praxis | praxis/residuals/base.py | import random
from typing import Any, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
class ResidualConnection(nn.Module):
"""
Base class for residual connections that connect hidden states across layers.
"""
def __init__(self, *args... | 1,501 | base | py | en | python | code | {"qsc_code_num_words": 170, "qsc_code_num_chars": 1501.0, "qsc_code_mean_word_length": 4.99411765, "qsc_code_frac_words_unique": 0.42941176, "qsc_code_frac_chars_top_2grams": 0.03886926, "qsc_code_frac_chars_top_3grams": 0.03062426, "qsc_code_frac_chars_top_4grams": 0.05418139, "qsc_code_frac_chars_dupe_5grams": 0.1130... | 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... |
027xiguapi/pear-rec | tools/release.ts | /* eslint-disable import/no-extraneous-dependencies,@typescript-eslint/camelcase, no-console */
import inquirer from 'inquirer';
import fs from 'fs';
import path from 'path';
import child_process from 'child_process';
import util from 'util';
import chalk from 'chalk';
import semverInc from 'semver/functions/inc';
imp... | 3,915 | release | ts | en | typescript | code | {"qsc_code_num_words": 390, "qsc_code_num_chars": 3915.0, "qsc_code_mean_word_length": 6.08717949, "qsc_code_frac_words_unique": 0.37435897, "qsc_code_frac_chars_top_2grams": 0.03032856, "qsc_code_frac_chars_top_3grams": 0.02737995, "qsc_code_frac_chars_top_4grams": 0.01347936, "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... |
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