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
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values | quality_signal stringlengths 2 1.9k | effective stringclasses 2
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1c-syntax/ssl_3_1 | src/cf/Reports/ОценкаПроизводительности/Templates/ОсновнаяСхемаКомпоновкиДанных/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" ... | 99,248 | Template | xml | ru | xml | data | {"qsc_code_num_words": 10683, "qsc_code_num_chars": 99248.0, "qsc_code_mean_word_length": 6.502855, "qsc_code_frac_words_unique": 0.04156136, "qsc_code_frac_chars_top_2grams": 0.04937383, "qsc_code_frac_chars_top_3grams": 0.03277674, "qsc_code_frac_chars_top_4grams": 0.0491867, "qsc_code_frac_chars_dupe_5grams": 0.9001... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code... |
1y33/100Days | day75/kernel.py | import torch
import triton
import triton.language as tl
@triton.jit
def knowledge_distillation_loss_kernel(
student_logits_ptr,
teacher_logits_ptr,
labels_ptr,
output_ptr,
batch_size,
num_classes,
temperature: tl.float32,
alpha: tl.float32,
BLOCK_SIZE: tl.constexpr,
):
pid = tl... | 4,228 | kernel | py | en | python | code | {"qsc_code_num_words": 575, "qsc_code_num_chars": 4228.0, "qsc_code_mean_word_length": 4.36869565, "qsc_code_frac_words_unique": 0.15130435, "qsc_code_frac_chars_top_2grams": 0.06767516, "qsc_code_frac_chars_top_3grams": 0.02547771, "qsc_code_frac_chars_top_4grams": 0.02627389, "qsc_code_frac_chars_dupe_5grams": 0.4824... | 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... |
1y33/100Days | day77/main.py | import torch
import triton
import triton.language as tl
import time
# A simplified RetNet kernel: a decaying cumulative sum.
# Given an input sequence x and a decay factor alpha,
# it computes: y[0] = x[0] and for i>0, y[i] = x[i] + alpha * y[i-1]
# Note: This kernel assumes the sequence length (N) is known at compile... | 2,424 | main | py | en | python | code | {"qsc_code_num_words": 375, "qsc_code_num_chars": 2424.0, "qsc_code_mean_word_length": 4.10666667, "qsc_code_frac_words_unique": 0.368, "qsc_code_frac_chars_top_2grams": 0.03116883, "qsc_code_frac_chars_top_3grams": 0.00779221, "qsc_code_frac_chars_top_4grams": 0.01428571, "qsc_code_frac_chars_dupe_5grams": 0.0974026, ... | 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... |
1y33/100Days | day60/fused.py | import torch
import triton
import triton.language as tl
@triton.jit
def _fused_skip_act_norm_dropout_kernel(
input_ptr, skip_ptr, output_ptr,
weight_ptr, bias_ptr,
M, N,
stride_input, stride_skip, stride_output,
dropout_p, seed,
eps,
is_training,
BLOCK_SIZE: tl.constexpr,
):
pid = t... | 2,802 | fused | py | en | python | code | {"qsc_code_num_words": 388, "qsc_code_num_chars": 2802.0, "qsc_code_mean_word_length": 4.2628866, "qsc_code_frac_words_unique": 0.24484536, "qsc_code_frac_chars_top_2grams": 0.04353083, "qsc_code_frac_chars_top_3grams": 0.02176542, "qsc_code_frac_chars_top_4grams": 0.03385732, "qsc_code_frac_chars_dupe_5grams": 0.18984... | 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... |
1y33/100Days | day80/kernel.py | import torch
import triton
import triton.language as tl
@triton.jit
def rwkv_kernel(
output_ptr,
k_ptr,
v_ptr,
w_ptr,
n_time: tl.constexpr,
n_channels: tl.constexpr,
stride_time: tl.constexpr,
stride_batch: tl.constexpr
):
pid = tl.program_id(... | 2,089 | kernel | py | en | python | code | {"qsc_code_num_words": 310, "qsc_code_num_chars": 2089.0, "qsc_code_mean_word_length": 3.81290323, "qsc_code_frac_words_unique": 0.26129032, "qsc_code_frac_chars_top_2grams": 0.04230118, "qsc_code_frac_chars_top_3grams": 0.02538071, "qsc_code_frac_chars_top_4grams": 0.04060914, "qsc_code_frac_chars_dupe_5grams": 0.1015... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jquery-layout/jquery.layout-latest.css | .ui-draggable-handle{-ms-touch-action:none;touch-action:none}.ui-layout-pane{overflow:auto}.ui-layout-content{padding:10px;position:relative;overflow:auto;width:100%;border:0}.layout-child-container,.layout-content-container{padding:0;overflow:hidden}.layout-child-container{border:0}.layout-scroll{overflow:auto}.layout... | 2,956 | jquery.layout-latest | css | en | css | data | {"qsc_code_num_words": 456, "qsc_code_num_chars": 2956.0, "qsc_code_mean_word_length": 5.26973684, "qsc_code_frac_words_unique": 0.18421053, "qsc_code_frac_chars_top_2grams": 0.14648356, "qsc_code_frac_chars_top_3grams": 0.12484395, "qsc_code_frac_chars_top_4grams": 0.02996255, "qsc_code_frac_chars_dupe_5grams": 0.3545... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1ytic/pytorch-edit-distance | README.md | # PyTorch edit-distance functions
Useful functions for E2E Speech Recognition training with PyTorch and CUDA.
Here is a simple use case with Reinforcement Learning and RNN-T loss:
```python
blank = torch.tensor([0], dtype=torch.int).cuda()
space = torch.tensor([1], dtype=torch.int).cuda()
xs = model.greedy_decode(x... | 1,547 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.08563536, "qsc_doc_num_sentences": 40.0, "qsc_doc_num_words": 238, "qsc_doc_num_chars": 1547.0, "qsc_doc_num_lines": 67.0, "qsc_doc_mean_word_length": 4.71008403, "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_... |
1ytic/pytorch-edit-distance | edit-distance.cu | #include "edit-distance.h"
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <c10/cuda/CUDAStream.h>
template <typename scalar_t>
__device__ __forceinline__ int is_include(
scalar_t token,
const scalar_t* __restrict__ subset,
const size_t size) {
f... | 13,392 | edit-distance | cu | en | cuda | code | {"qsc_code_num_words": 1552, "qsc_code_num_chars": 13392.0, "qsc_code_mean_word_length": 4.43041237, "qsc_code_frac_words_unique": 0.07667526, "qsc_code_frac_chars_top_2grams": 0.0722804, "qsc_code_frac_chars_top_3grams": 0.06108202, "qsc_code_frac_chars_top_4grams": 0.0727167, "qsc_code_frac_chars_dupe_5grams": 0.6609... | 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... |
1zb/3DILG | engine_for_vqvae.py | import math
import sys
from typing import Iterable, Optional
import torch
import torch.nn.functional as F
from timm.utils import ModelEma
import utils
def train_batch(model, surface, points, labels, criterion):
outputs, z_e_x, z_q_x, sigma, loss_commit, perplexity = model(surface, points)
loss_vol = criter... | 7,374 | engine_for_vqvae | py | en | python | code | {"qsc_code_num_words": 954, "qsc_code_num_chars": 7374.0, "qsc_code_mean_word_length": 4.6572327, "qsc_code_frac_words_unique": 0.1918239, "qsc_code_frac_chars_top_2grams": 0.07022282, "qsc_code_frac_chars_top_3grams": 0.0486158, "qsc_code_frac_chars_top_4grams": 0.03466126, "qsc_code_frac_chars_dupe_5grams": 0.4690524... | 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... |
1y33/100Days | day06/TransposeMatrix.cu | #include <iostream>
#include <cuda_runtime.h>
__global__ void transposeKernel(int *A, int *B)
{
const int idx = threadIdx.x + threadIdx.y * blockDim.x;
// threadIDx.x -> id of the row
// threadIdx.y -> id of the collumn
// BlockDim.x -> the size of the Dimension of the row
// So we will get the idx... | 1,819 | TransposeMatrix | cu | en | cuda | code | {"qsc_code_num_words": 224, "qsc_code_num_chars": 1819.0, "qsc_code_mean_word_length": 4.67857143, "qsc_code_frac_words_unique": 0.33928571, "qsc_code_frac_chars_top_2grams": 0.03339695, "qsc_code_frac_chars_top_3grams": 0.02003817, "qsc_code_frac_chars_top_4grams": 0.02290076, "qsc_code_frac_chars_dupe_5grams": 0.1183... | 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... |
1y33/100Days | day06/SoftMax.cu | #include <iostream>
#include <cuda_runtime.h>
__global__ void SoftMaxNaive(float *input,float *output,int size){
int numThreads = blockDim.x;
//each thread to compute softmax for this:
int numElementsPerThread = size/numThreads;
int threadIndex = threadIdx.x;
int startIndex = threadIndex * ... | 1,991 | SoftMax | cu | en | cuda | code | {"qsc_code_num_words": 221, "qsc_code_num_chars": 1991.0, "qsc_code_mean_word_length": 5.37104072, "qsc_code_frac_words_unique": 0.21266968, "qsc_code_frac_chars_top_2grams": 0.04043808, "qsc_code_frac_chars_top_3grams": 0.04717776, "qsc_code_frac_chars_top_4grams": 0.02695872, "qsc_code_frac_chars_dupe_5grams": 0.6992... | 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... |
1y33/100Days | day43/rope.py | import triton
import triton.language as tl
def rope_embeddings(
Q, Q_row_stride,
cos,cos_row_stride,
sin,sin_row_stride,
seq_len,
head_dim : tl.constexpr,
n_heads : tl.constexpr,
BLOCKSIZE : tl.constexpr
):
ROPE_GROUP_SIZE = 4
row_position = tl.program_id(0)
group_head_positi... | 1,258 | rope | py | en | python | code | {"qsc_code_num_words": 203, "qsc_code_num_chars": 1258.0, "qsc_code_mean_word_length": 3.77339901, "qsc_code_frac_words_unique": 0.25123153, "qsc_code_frac_chars_top_2grams": 0.08224543, "qsc_code_frac_chars_top_3grams": 0.07180157, "qsc_code_frac_chars_top_4grams": 0.04960836, "qsc_code_frac_chars_dupe_5grams": 0.2480... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ДвиженияДокумента/Templates/Заголовок.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xm... | 1,241 | Заголовок | xml | ru | xml | data | {"qsc_code_num_words": 223, "qsc_code_num_chars": 1241.0, "qsc_code_mean_word_length": 3.86098655, "qsc_code_frac_words_unique": 0.32735426, "qsc_code_frac_chars_top_2grams": 0.10452962, "qsc_code_frac_chars_top_3grams": 0.13937282, "qsc_code_frac_chars_top_4grams": 0.17421603, "qsc_code_frac_chars_dupe_5grams": 0.4262... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day67/lora.py | import torch
import triton
import triton.language as tl
@triton.jit
def lora_kernel(
y_ptr, x_ptr, w_ptr, a_ptr, b_ptr,
M, N, K, R,
stride_ym, stride_yn,
stride_xm, stride_xk,
stride_wk, stride_wn,
stride_ak, stride_ar,
stride_br, stride_bn,
BLOCK_SIZE_M: tl.constexpr,
BLOCK_SIZE_N:... | 3,007 | lora | py | en | python | code | {"qsc_code_num_words": 537, "qsc_code_num_chars": 3007.0, "qsc_code_mean_word_length": 2.9310987, "qsc_code_frac_words_unique": 0.13221601, "qsc_code_frac_chars_top_2grams": 0.18297332, "qsc_code_frac_chars_top_3grams": 0.0635324, "qsc_code_frac_chars_top_4grams": 0.03557814, "qsc_code_frac_chars_dupe_5grams": 0.301143... | 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... |
1y33/100Days | day72/main.py | import torch
import triton
import triton.language as tl
@triton.jit
def sgd_kernel(
param_ptr,
grad_ptr,
momentum_ptr,
lr,
weight_decay,
momentum_factor,
dampening,
nesterov,
n_elements,
BLOCK_SIZE: tl.constexpr,
):
pid = tl.program_id(axis=0)
block_start = pid * BLOCK_S... | 2,218 | main | py | en | python | code | {"qsc_code_num_words": 286, "qsc_code_num_chars": 2218.0, "qsc_code_mean_word_length": 4.63286713, "qsc_code_frac_words_unique": 0.25174825, "qsc_code_frac_chars_top_2grams": 0.04754717, "qsc_code_frac_chars_top_3grams": 0.03169811, "qsc_code_frac_chars_top_4grams": 0.04075472, "qsc_code_frac_chars_dupe_5grams": 0.1660... | 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... |
1y33/100Days | day28/test_sample.py | import torch
from torch.utils.cpp_extension import load
import time
lib = load(
name="update_x",
sources=["sample.cu"],
extra_cuda_cflags=[ "-O3",
"--use_fast_math",
],
extra_cflags=["-std=c++17"],
)
print("Loaded ")
size = 10**6
device = "cuda"
x = torch.randn(size, device=devic... | 1,168 | test_sample | py | en | python | code | {"qsc_code_num_words": 180, "qsc_code_num_chars": 1168.0, "qsc_code_mean_word_length": 4.36666667, "qsc_code_frac_words_unique": 0.29444444, "qsc_code_frac_chars_top_2grams": 0.08015267, "qsc_code_frac_chars_top_3grams": 0.10178117, "qsc_code_frac_chars_top_4grams": 0.07633588, "qsc_code_frac_chars_dupe_5grams": 0.2519... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/СертификатыЭлектроннойПодписи/Templates/Макет.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xm... | 1,235 | Макет | xml | ru | xml | data | {"qsc_code_num_words": 223, "qsc_code_num_chars": 1235.0, "qsc_code_mean_word_length": 3.83408072, "qsc_code_frac_words_unique": 0.32735426, "qsc_code_frac_chars_top_2grams": 0.10526316, "qsc_code_frac_chars_top_3grams": 0.14035088, "qsc_code_frac_chars_top_4grams": 0.1754386, "qsc_code_frac_chars_dupe_5grams": 0.42923... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1c-syntax/ssl_3_1 | src/cf/Reports/СертификатыЭлектроннойПодписи/Templates/Макет/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" ... | 40,071 | Template | xml | ru | xml | data | {"qsc_code_num_words": 4567, "qsc_code_num_chars": 40071.0, "qsc_code_mean_word_length": 6.05474053, "qsc_code_frac_words_unique": 0.05977666, "qsc_code_frac_chars_top_2grams": 0.06607117, "qsc_code_frac_chars_top_3grams": 0.05330537, "qsc_code_frac_chars_top_4grams": 0.08238102, "qsc_code_frac_chars_dupe_5grams": 0.89... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/cxselect/jquery.cxselect.js | /*!
* jQuery cxSelect
* @name jquery.cxselect.js
* @version 1.4.2
* @date 2017-09-26
* @author ciaoca
* @email ciaoca@gmail.com
* @site https://github.com/ciaoca/cxSelect
* @license Released under the MIT license
*/
(function(factory) {
if (typeof define === 'function' && define.amd) {
define(['jquery'],... | 12,300 | jquery.cxselect | js | en | javascript | code | {"qsc_code_num_words": 1293, "qsc_code_num_chars": 12300.0, "qsc_code_mean_word_length": 5.44392885, "qsc_code_frac_words_unique": 0.14694509, "qsc_code_frac_chars_top_2grams": 0.06606052, "qsc_code_frac_chars_top_3grams": 0.02344083, "qsc_code_frac_chars_top_4grams": 0.02699247, "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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/cxselect/jquery.cxselect.min.js | /*!
* jQuery cxSelect
* @name jquery.cxselect.js
* @version 1.4.2
* @date 2017-09-26
* @author ciaoca
* @email ciaoca@gmail.com
* @site https://github.com/ciaoca/cxSelect
* @license Released under the MIT license
*/
!function(a){"function"==typeof define&&define.amd?define(["jquery"],a):a(window.jQuery||window... | 6,635 | jquery.cxselect.min | js | en | javascript | code | {"qsc_code_num_words": 1200, "qsc_code_num_chars": 6635.0, "qsc_code_mean_word_length": 3.85916667, "qsc_code_frac_words_unique": 0.11666667, "qsc_code_frac_chars_top_2grams": 0.06996329, "qsc_code_frac_chars_top_3grams": 0.01662708, "qsc_code_frac_chars_top_4grams": 0.02375297, "qsc_code_frac_chars_dupe_5grams": 0.201... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/validate/jquery.validate.min.js | /*! jQuery Validation Plugin - v1.19.3 - 1/9/2021
* https://jqueryvalidation.org/
* Copyright (c) 2021 Jörn Zaefferer; Licensed MIT */
!function(a){"function"==typeof define&&define.amd?define(["jquery"],a):"object"==typeof module&&module.exports?module.exports=a(require("jquery")):a(jQuery)}(function(a){a.extend(a.f... | 24,448 | jquery.validate.min | js | en | javascript | code | {"qsc_code_num_words": 4084, "qsc_code_num_chars": 24448.0, "qsc_code_mean_word_length": 4.23628795, "qsc_code_frac_words_unique": 0.11165524, "qsc_code_frac_chars_top_2grams": 0.04300329, "qsc_code_frac_chars_top_3grams": 0.01445003, "qsc_code_frac_chars_top_4grams": 0.01208023, "qsc_code_frac_chars_dupe_5grams": 0.20... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализОпроса/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 46,750 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 3526, "qsc_code_num_chars": 46750.0, "qsc_code_mean_word_length": 10.26659104, "qsc_code_frac_words_unique": 0.11769711, "qsc_code_frac_chars_top_2grams": 0.01812155, "qsc_code_frac_chars_top_3grams": 0.02461326, "qsc_code_frac_chars_top_4grams": 0.01831492, "qsc_code_frac_chars_dupe_5grams": 0.6... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализОпроса/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 1,699 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 127, "qsc_code_num_chars": 1699.0, "qsc_code_mean_word_length": 9.51181102, "qsc_code_frac_words_unique": 0.72440945, "qsc_code_frac_chars_top_2grams": 0.0794702, "qsc_code_frac_chars_top_3grams": 0.00662252, "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_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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/validate/additional-methods.min.js | /*! jQuery Validation Plugin - v1.19.3 - 1/9/2021
* https://jqueryvalidation.org/
* Copyright (c) 2021 Jörn Zaefferer; Licensed MIT */
!function(a){"function"==typeof define&&define.amd?define(["jquery","./jquery.validate.min"],a):"object"==typeof module&&module.exports?module.exports=a(require("jquery")):a(jQuery)}(... | 22,651 | additional-methods.min | js | en | javascript | code | {"qsc_code_num_words": 4610, "qsc_code_num_chars": 22651.0, "qsc_code_mean_word_length": 2.95336226, "qsc_code_frac_words_unique": 0.11041215, "qsc_code_frac_chars_top_2grams": 0.06096217, "qsc_code_frac_chars_top_3grams": 0.09070878, "qsc_code_frac_chars_top_4grams": 0.03290488, "qsc_code_frac_chars_dupe_5grams": 0.52... | 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... |
1y33/100Days | day42/mat_mul.py | import torch
import triton
import triton.language as tl
DEVICE = torch.device("cuda:0")
@triton.jit
def matmul_kernel(
a_ptr, b_ptr, c_ptr,
M, N, K,
stride_am, stride_ak,
stride_bk, stride_bn,
stride_cm, stride_cn,
BLOCK_SIZE_M: tl.constexpr, BLOCK_SIZE_N: tl.con... | 2,723 | mat_mul | py | en | python | code | {"qsc_code_num_words": 465, "qsc_code_num_chars": 2723.0, "qsc_code_mean_word_length": 3.3655914, "qsc_code_frac_words_unique": 0.16989247, "qsc_code_frac_chars_top_2grams": 0.13226837, "qsc_code_frac_chars_top_3grams": 0.05111821, "qsc_code_frac_chars_top_4grams": 0.04472843, "qsc_code_frac_chars_dupe_5grams": 0.25431... | 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... |
1y33/100Days | day27/kmeans.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <float.h>
#define NUM_POINTS 10000
#define K 3
#define DIM 2
#define MAX_ITER 100
__global__ void assign_clusters(float *points, float *centroids, int *labels, int numPoints, int k, int dim) {
int i = blockIdx.x * blockDim.x + threadIdx.x... | 4,083 | kmeans | cu | en | cuda | code | {"qsc_code_num_words": 507, "qsc_code_num_chars": 4083.0, "qsc_code_mean_word_length": 4.73175542, "qsc_code_frac_words_unique": 0.17357002, "qsc_code_frac_chars_top_2grams": 0.01834098, "qsc_code_frac_chars_top_3grams": 0.01167153, "qsc_code_frac_chars_top_4grams": 0.01333889, "qsc_code_frac_chars_dupe_5grams": 0.2730... | 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... |
1y33/100Days | day16/attentionbwkd.cu | #include <cuda_runtime.h>
#include <iostream>
#include <vector>
#include <cstdlib>
#define BLOCK_SIZE 16
__global__ void attention_forward(float *Q, float *K, float *V, float *O, float *P, int seq_len, int dim)
{
int row = threadIdx.y + blockIdx.y * blockDim.y;
int col = threadIdx.x + blockIdx.x * blockDim.x;... | 6,686 | attentionbwkd | cu | en | cuda | code | {"qsc_code_num_words": 995, "qsc_code_num_chars": 6686.0, "qsc_code_mean_word_length": 3.32462312, "qsc_code_frac_words_unique": 0.08542714, "qsc_code_frac_chars_top_2grams": 0.08162031, "qsc_code_frac_chars_top_3grams": 0.03808948, "qsc_code_frac_chars_top_4grams": 0.04081016, "qsc_code_frac_chars_dupe_5grams": 0.5934... | 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... |
1y33/100Days | day04/layerNorm.cu | #include <iostream>
#include <cuda_runtime.h>
// TODO : create template
struct Tensor {
float *data;
int rows;
int cols;
__device__ int size() const {
return rows * cols;
}
__device__ float get(const int row, const int col = 0) {
return data[row * cols + col];
}
__de... | 3,305 | layerNorm | cu | en | cuda | code | {"qsc_code_num_words": 445, "qsc_code_num_chars": 3305.0, "qsc_code_mean_word_length": 4.14831461, "qsc_code_frac_words_unique": 0.23820225, "qsc_code_frac_chars_top_2grams": 0.03900325, "qsc_code_frac_chars_top_3grams": 0.01516793, "qsc_code_frac_chars_top_4grams": 0.01733478, "qsc_code_frac_chars_dupe_5grams": 0.1132... | 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... |
1y33/100Days | day88/MSE.cu | #include <cuda_runtime.h>
#include <cstdio>
__global__ void mseKernel(const float* predictions, const float* targets, size_t numElements, float* sum) {
size_t idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < numElements) {
float diff = predictions[idx] - targets[idx];
float sq_diff = diff... | 1,287 | MSE | cu | en | cuda | code | {"qsc_code_num_words": 144, "qsc_code_num_chars": 1287.0, "qsc_code_mean_word_length": 5.90277778, "qsc_code_frac_words_unique": 0.35416667, "qsc_code_frac_chars_top_2grams": 0.05294118, "qsc_code_frac_chars_top_3grams": 0.04941176, "qsc_code_frac_chars_top_4grams": 0.06117647, "qsc_code_frac_chars_dupe_5grams": 0.0894... | 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... |
1y33/100Days | day59/test.py | import triton
import triton.language as tl
import torch
import torch.nn as nn
import time
class RMSNorm(nn.Module):
def __init__(self,dim_embed):
super().__init__()
self.dim_embed = dim_embed
self.weight = nn.Parameter(torch.ones((dim_embed),device="cuda"),requires_grad=True)
... | 3,207 | test | py | en | python | code | {"qsc_code_num_words": 467, "qsc_code_num_chars": 3207.0, "qsc_code_mean_word_length": 4.14775161, "qsc_code_frac_words_unique": 0.27408994, "qsc_code_frac_chars_top_2grams": 0.04181724, "qsc_code_frac_chars_top_3grams": 0.04130098, "qsc_code_frac_chars_top_4grams": 0.0232318, "qsc_code_frac_chars_dupe_5grams": 0.22509... | 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... |
1y33/100Days | day74/kernel.py | import torch
import triton
import triton.language as tl
@triton.jit
def relu_device_fn(x):
return tl.maximum(0.0, x)
@triton.jit
def swish_device_fn(x):
return x * tl.sigmoid(x)
@triton.jit
def gelu_device_fn(x):
return 0.5 * x * (1.0 + tl.tanh(0.7978845608 * (x + 0.044715 * x * x * x)))
def create_acti... | 2,493 | kernel | py | en | python | code | {"qsc_code_num_words": 353, "qsc_code_num_chars": 2493.0, "qsc_code_mean_word_length": 4.31161473, "qsc_code_frac_words_unique": 0.22096317, "qsc_code_frac_chars_top_2grams": 0.04204993, "qsc_code_frac_chars_top_3grams": 0.03153745, "qsc_code_frac_chars_top_4grams": 0.05519054, "qsc_code_frac_chars_dupe_5grams": 0.0210... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ДвиженияДокумента/Templates/Заголовок/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<document xmlns="http://v8.1c.ru/8.2/data/spreadsheet" xmlns:style="http://v8.1c.ru/8.1/data/ui/style" xmlns:v8="http://v8.1c.ru/8.1/data/core" xmlns:v8ui="http://v8.1c.ru/8.1/data/ui" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instanc... | 2,659 | Template | xml | ru | xml | data | {"qsc_code_num_words": 322, "qsc_code_num_chars": 2659.0, "qsc_code_mean_word_length": 5.27018634, "qsc_code_frac_words_unique": 0.3136646, "qsc_code_frac_chars_top_2grams": 0.04596346, "qsc_code_frac_chars_top_3grams": 0.04124926, "qsc_code_frac_chars_top_4grams": 0.05008839, "qsc_code_frac_chars_dupe_5grams": 0.42663... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1x-technologies/1xgpt | genie/generate.py | """
Example usage: See https://github.com/1x-technologies/1xgpt?tab=readme-ov-file#1x-genie-baseline
"""
import argparse
import json
import os
import sys
from pathlib import Path
import torch
import numpy as np
sys.path.append(os.getcwd())
from data import RawTokenDataset
from genie.st_mask_git import STMaskGIT
STR... | 4,271 | generate | py | en | python | code | {"qsc_code_num_words": 546, "qsc_code_num_chars": 4271.0, "qsc_code_mean_word_length": 4.94871795, "qsc_code_frac_words_unique": 0.34981685, "qsc_code_frac_chars_top_2grams": 0.02997779, "qsc_code_frac_chars_top_3grams": 0.05662472, "qsc_code_frac_chars_top_4grams": 0.03515914, "qsc_code_frac_chars_dupe_5grams": 0.0873... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/flot/jquery.flot.js | /*! Javascript plotting library for jQuery, v. 0.7.
*
* Released under the MIT license by IOLA, December 2007.
*
*/
// first an inline dependency, jquery.colorhelpers.js, we inline it here
// for convenience
/* Plugin for jQuery for working with colors.
*
* Version 1.1.
*
* Inspiration from jQuery color anima... | 104,603 | jquery.flot | js | en | javascript | code | {"qsc_code_num_words": 9975, "qsc_code_num_chars": 104603.0, "qsc_code_mean_word_length": 4.39298246, "qsc_code_frac_words_unique": 0.11398496, "qsc_code_frac_chars_top_2grams": 0.0020995, "qsc_code_frac_chars_top_3grams": 0.00260155, "qsc_code_frac_chars_top_4grams": 0.00328617, "qsc_code_frac_chars_dupe_5grams": 0.22... | 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... |
1ytic/edit-distance-papers | README.md | # Edit-distance as objective function
There are several research fields in which the [edit-distance](https://en.wikipedia.org/wiki/Edit_distance) chosen as the objective function. For example, in Automatic Speech Recognition (ASR) the main metric of the quality of models is [Word Error Rate](https://en.wikipedia.org/w... | 5,099 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.0, "qsc_doc_frac_words_redpajama_stop": 0.08378588, "qsc_doc_num_sentences": 98.0, "qsc_doc_num_words": 745, "qsc_doc_num_chars": 5099.0, "qsc_doc_num_lines": 51.0, "qsc_doc_mean_word_length": 4.86845638, "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_... |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализОпроса/Forms/РасшифровкаТабличныхВопросов/Ext/Form/Module.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 12,401 | Module | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 895, "qsc_code_num_chars": 12401.0, "qsc_code_mean_word_length": 11.03687151, "qsc_code_frac_words_unique": 0.2122905, "qsc_code_frac_chars_top_2grams": 0.02794088, "qsc_code_frac_chars_top_3grams": 0.06286698, "qsc_code_frac_chars_top_4grams": 0.02672606, "qsc_code_frac_chars_dupe_5grams": 0.413... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/flot/jquery.flot.resize.js | /* Flot plugin for automatically redrawing plots as the placeholder resizes.
Copyright (c) 2007-2013 IOLA and Ole Laursen.
Licensed under the MIT license.
It works by listening for changes on the placeholder div (through the jQuery
resize event plugin) - if the size changes, it will redraw the plot.
There are no opt... | 2,484 | jquery.flot.resize | js | en | javascript | code | {"qsc_code_num_words": 376, "qsc_code_num_chars": 2484.0, "qsc_code_mean_word_length": 4.06648936, "qsc_code_frac_words_unique": 0.38297872, "qsc_code_frac_chars_top_2grams": 0.00523218, "qsc_code_frac_chars_top_3grams": 0.00784827, "qsc_code_frac_chars_top_4grams": 0.01569653, "qsc_code_frac_chars_dupe_5grams": 0.0647... | 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... |
1x-technologies/1xgpt | genie/evaluate.py | """
Example usage:
`python genie/evaluate.py --checkpoint_dir 1x-technologies/GENIE_35M`
"""
import argparse
import time
import os
import sys
from collections import defaultdict
from pathlib import Path
import lpips
import torch
import transformers
from einops import rearrange
from torch.utils.data import DataLoader
... | 8,535 | evaluate | py | en | python | code | {"qsc_code_num_words": 1150, "qsc_code_num_chars": 8535.0, "qsc_code_mean_word_length": 4.8026087, "qsc_code_frac_words_unique": 0.24695652, "qsc_code_frac_chars_top_2grams": 0.02190838, "qsc_code_frac_chars_top_3grams": 0.0278834, "qsc_code_frac_chars_top_4grams": 0.00506971, "qsc_code_frac_chars_dupe_5grams": 0.20514... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/flot/curvedLines.js | /* The MIT License
Copyright (c) 2011 by Michael Zinsmaier and nergal.dev
Copyright (c) 2012 by Thomas Ritou
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including wi... | 12,370 | curvedLines | js | en | javascript | code | {"qsc_code_num_words": 1411, "qsc_code_num_chars": 12370.0, "qsc_code_mean_word_length": 4.37065911, "qsc_code_frac_words_unique": 0.2799433, "qsc_code_frac_chars_top_2grams": 0.03891682, "qsc_code_frac_chars_top_3grams": 0.03032269, "qsc_code_frac_chars_top_4grams": 0.01167504, "qsc_code_frac_chars_dupe_5grams": 0.143... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализОпроса/Forms/РасшифровкаПростыхОтветов/Ext/Form.xml | <?xml version="1.0" encoding="UTF-8"?>
<Form xmlns="http://v8.1c.ru/8.3/xcf/logform" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcssch="http://v8.1c.ru/8.1/data-composition... | 6,225 | Form | xml | ru | xml | data | {"qsc_code_num_words": 758, "qsc_code_num_chars": 6225.0, "qsc_code_mean_word_length": 5.43799472, "qsc_code_frac_words_unique": 0.19129288, "qsc_code_frac_chars_top_2grams": 0.04075691, "qsc_code_frac_chars_top_3grams": 0.03105289, "qsc_code_frac_chars_top_4grams": 0.03881611, "qsc_code_frac_chars_dupe_5grams": 0.6317... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day15/SMM.cu | #include <iostream>
#include <vector>
#include <cuda_runtime.h>
__global__ void spmv_csr_kernel(int num_rows, const float *values, const int *column_indices, const int *row_offsets, const float *x, float *y) {
int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row < num_rows) {
float dot = 0;
... | 2,171 | SMM | cu | en | cuda | code | {"qsc_code_num_words": 318, "qsc_code_num_chars": 2171.0, "qsc_code_mean_word_length": 4.09119497, "qsc_code_frac_words_unique": 0.16352201, "qsc_code_frac_chars_top_2grams": 0.07532667, "qsc_code_frac_chars_top_3grams": 0.05380477, "qsc_code_frac_chars_top_4grams": 0.05534204, "qsc_code_frac_chars_dupe_5grams": 0.1906... | 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... |
1y33/100Days | day38/myreduction.cpp | #include <hip/hip_runtime.h>
#include <iostream>
#include <float.h> // for FLT_MAX
#ifndef WARP_SIZE
#define WARP_SIZE 64
#endif
#define HIPCHECK(error) \
{ \
if ((error) != hipSuccess) ... | 2,948 | myreduction | cpp | en | cpp | code | {"qsc_code_num_words": 333, "qsc_code_num_chars": 2948.0, "qsc_code_mean_word_length": 4.38738739, "qsc_code_frac_words_unique": 0.26726727, "qsc_code_frac_chars_top_2grams": 0.05338809, "qsc_code_frac_chars_top_3grams": 0.04106776, "qsc_code_frac_chars_top_4grams": 0.02874743, "qsc_code_frac_chars_dupe_5grams": 0.1526... | 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... |
1y33/100Days | day51/main.py | import torch
import torch.nn as nn
import triton
import triton.language as tl
import matplotlib.pyplot as plt
@triton.jit
def quantize_asymmetric_kernel(
x_ptr, # input tensor
q_ptr, # output tensor
scale_ptr, # pointer to scale value (1 per block)
zero_ptr, # pointer to z... | 4,605 | main | py | en | python | code | {"qsc_code_num_words": 636, "qsc_code_num_chars": 4605.0, "qsc_code_mean_word_length": 4.41352201, "qsc_code_frac_words_unique": 0.21540881, "qsc_code_frac_chars_top_2grams": 0.05771286, "qsc_code_frac_chars_top_3grams": 0.02565016, "qsc_code_frac_chars_top_4grams": 0.02565016, "qsc_code_frac_chars_dupe_5grams": 0.3070... | 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... |
1y33/100Days | day23/main.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include <iostream>
#include <vector>
#include <cmath>
__global__ void vectorAddRuntime(const float *A, const float *B, float *C, unsigned int N) {
unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < N) {
C[idx] = A[idx] + B[idx];
}
}
int... | 4,727 | main | cu | en | cuda | code | {"qsc_code_num_words": 587, "qsc_code_num_chars": 4727.0, "qsc_code_mean_word_length": 4.70187394, "qsc_code_frac_words_unique": 0.22146508, "qsc_code_frac_chars_top_2grams": 0.02789855, "qsc_code_frac_chars_top_3grams": 0.03297101, "qsc_code_frac_chars_top_4grams": 0.03550725, "qsc_code_frac_chars_dupe_5grams": 0.1706... | 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... |
1zb/3DILG | utils.py | import os
import math
from pathlib import Path
import time
import json
from collections import defaultdict, deque
import datetime
import torch
import torch.distributed as dist
from torch._six import inf
import numpy as np
from timm.utils import get_state_dict
from tensorboardX import SummaryWriter
class Tensorboar... | 14,515 | utils | py | en | python | code | {"qsc_code_num_words": 1819, "qsc_code_num_chars": 14515.0, "qsc_code_mean_word_length": 4.50797141, "qsc_code_frac_words_unique": 0.16052776, "qsc_code_frac_chars_top_2grams": 0.01756098, "qsc_code_frac_chars_top_3grams": 0.00987805, "qsc_code_frac_chars_top_4grams": 0.00682927, "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... |
1y33/100Days | day52/functionsused.py | import triton
import numpy as np
import triton.language as tl
@triton.jit
def init_matrix(matrix, seed: tl.constexpr):
idx = tl.arange(0, matrix.shape[0])
matrix[idx] = tl.random(seed + idx)
@triton.jit
def add_matrices(a, b, result):
idx = tl.arange(0, a.shape[0])
result[idx] = a[idx] + b[idx]
@tri... | 1,284 | functionsused | py | en | python | code | {"qsc_code_num_words": 226, "qsc_code_num_chars": 1284.0, "qsc_code_mean_word_length": 3.35840708, "qsc_code_frac_words_unique": 0.25663717, "qsc_code_frac_chars_top_2grams": 0.05928854, "qsc_code_frac_chars_top_3grams": 0.07905138, "qsc_code_frac_chars_top_4grams": 0.06324111, "qsc_code_frac_chars_dupe_5grams": 0.3610... | 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... |
1y33/100Days | day53/layer_norm.py | import triton
import triton.language as tl
import torch
@triton.jit
def layernorm_forward(
Y, Y_row_stride,
X, X_row_stride,
W,b,r,
mu,n_cols, eps,
BLOCK_SIZE : tl.constexpr
):
row_idx = tl.program_id(0)
col_offsets = tl.arange(0, BLOCK_SIZE)
mask = col_offsets < n_cols
Y += row_... | 3,691 | layer_norm | py | en | python | code | {"qsc_code_num_words": 567, "qsc_code_num_chars": 3691.0, "qsc_code_mean_word_length": 3.38095238, "qsc_code_frac_words_unique": 0.13756614, "qsc_code_frac_chars_top_2grams": 0.03651539, "qsc_code_frac_chars_top_3grams": 0.05164319, "qsc_code_frac_chars_top_4grams": 0.0657277, "qsc_code_frac_chars_dupe_5grams": 0.43348... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/cropper/cropper.css | /*!
* Cropper.js v1.5.12
* https://fengyuanchen.github.io/cropperjs
*
* Copyright 2015-present Chen Fengyuan
* Released under the MIT license
*
* Date: 2021-06-12T08:00:11.623Z
*/
.cropper-container {
direction: ltr;
font-size: 0;
line-height: 0;
position: relative;
-ms-touch-action: none;
touch-ac... | 4,657 | cropper | css | en | css | data | {"qsc_code_num_words": 599, "qsc_code_num_chars": 4657.0, "qsc_code_mean_word_length": 4.98330551, "qsc_code_frac_words_unique": 0.24207012, "qsc_code_frac_chars_top_2grams": 0.06030151, "qsc_code_frac_chars_top_3grams": 0.06834171, "qsc_code_frac_chars_top_4grams": 0.03350084, "qsc_code_frac_chars_dupe_5grams": 0.2023... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day20/test_rope.py | import torch
import time
from torch.utils.cpp_extension import load
print(torch.__version__) # Verifică versiunea PyTorch
print(torch.cuda.is_available()) # Dacă e False, PyTorch nu vede CUDA
print(torch.version.cuda) # Verifică versiunea CUDA detectată de
lib = load(
name="rope",
sources=["rope.cu"],
ex... | 1,739 | test_rope | py | en | python | code | {"qsc_code_num_words": 260, "qsc_code_num_chars": 1739.0, "qsc_code_mean_word_length": 4.0, "qsc_code_frac_words_unique": 0.42307692, "qsc_code_frac_chars_top_2grams": 0.01923077, "qsc_code_frac_chars_top_3grams": 0.02884615, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_code_frac_... | 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... |
1ytic/warp-rnnt | tensorflow_binding/warp_rnnt_tf/test.py | import numpy as np
import tensorflow as tf
from scipy.special import log_softmax
from tensorflow.python.framework.ops import disable_eager_execution
from . import rnnt_loss
np.random.seed(42)
tf.random.set_seed(42)
class RNNTLossTest(tf.test.TestCase):
def _run_transducer(self, xs, xn, ys, yn,
... | 9,535 | test | py | en | python | code | {"qsc_code_num_words": 1416, "qsc_code_num_chars": 9535.0, "qsc_code_mean_word_length": 2.88629944, "qsc_code_frac_words_unique": 0.09816384, "qsc_code_frac_chars_top_2grams": 0.10961586, "qsc_code_frac_chars_top_3grams": 0.13432836, "qsc_code_frac_chars_top_4grams": 0.14387081, "qsc_code_frac_chars_dupe_5grams": 0.695... | 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... |
1ytic/warp-rnnt | pytorch_binding/warp_rnnt/__init__.py | import torch
import warp_rnnt._C as core
from typing import Optional, AnyStr, Literal
from pkg_resources import get_distribution
__version__ = get_distribution('warp_rnnt').version
class RNNTLoss(torch.autograd.Function):
@staticmethod
def forward(ctx, log_probs, labels, frames_lengths, labels_lengths, blan... | 5,472 | __init__ | py | en | python | code | {"qsc_code_num_words": 669, "qsc_code_num_chars": 5472.0, "qsc_code_mean_word_length": 4.98355755, "qsc_code_frac_words_unique": 0.24813154, "qsc_code_frac_chars_top_2grams": 0.0359928, "qsc_code_frac_chars_top_3grams": 0.02879424, "qsc_code_frac_chars_top_4grams": 0.04679064, "qsc_code_frac_chars_dupe_5grams": 0.31043... | 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... |
1ytic/warp-rna | pytorch_binding/warp_rna/__init__.py | import torch
import warp_rna._C as core
from typing import Optional, AnyStr
from pkg_resources import get_distribution
__version__ = get_distribution('warp_rna').version
class RNALoss(torch.autograd.Function):
@staticmethod
def forward(ctx, log_probs, labels, frames_lengths, labels_lengths, blank=0):
... | 2,885 | __init__ | py | en | python | code | {"qsc_code_num_words": 370, "qsc_code_num_chars": 2885.0, "qsc_code_mean_word_length": 5.08918919, "qsc_code_frac_words_unique": 0.31081081, "qsc_code_frac_chars_top_2grams": 0.05523101, "qsc_code_frac_chars_top_3grams": 0.04460967, "qsc_code_frac_chars_top_4grams": 0.03398832, "qsc_code_frac_chars_dupe_5grams": 0.2225... | 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... |
1ytic/warp-rna | pytorch_binding/warp_rna/test.py | import torch
import unittest
import numpy as np
import warp_rna._C as core
xs = torch.tensor([], dtype=torch.float32)
ys = torch.tensor([], dtype=torch.int)
xn = torch.tensor([], dtype=torch.int)
yn = torch.tensor([], dtype=torch.int)
class RNALossTest(unittest.TestCase):
def test_contiguous(self):
xs ... | 6,961 | test | py | en | python | code | {"qsc_code_num_words": 1090, "qsc_code_num_chars": 6961.0, "qsc_code_mean_word_length": 3.3587156, "qsc_code_frac_words_unique": 0.10183486, "qsc_code_frac_chars_top_2grams": 0.07375034, "qsc_code_frac_chars_top_3grams": 0.10243103, "qsc_code_frac_chars_top_4grams": 0.12674133, "qsc_code_frac_chars_dupe_5grams": 0.8107... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/АнализВерсийОбъектов/Templates/ОсновнаяСхемаКомпоновкиДанных/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" ... | 7,501 | Template | xml | ru | xml | data | {"qsc_code_num_words": 862, "qsc_code_num_chars": 7501.0, "qsc_code_mean_word_length": 6.00116009, "qsc_code_frac_words_unique": 0.14965197, "qsc_code_frac_chars_top_2grams": 0.05277402, "qsc_code_frac_chars_top_3grams": 0.04678136, "qsc_code_frac_chars_top_4grams": 0.07229847, "qsc_code_frac_chars_dupe_5grams": 0.7657... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day20/rope.cu | #include <cuda_runtime.h>
#include <iostream>
#include <torch/extension.h>
#include <torch/types.h>
#define BLOCK_SIZE 256
#define theta 10000.0f
#define STRINGFY(str) #str
#define TORCH_BINDING_COMMON_EXTENSION(func) \
m.def(STRINGFY(func), &func, STRINGFY(func));
__global__ void rope_kernel(float* x, float* out, ... | 1,480 | rope | cu | en | cuda | code | {"qsc_code_num_words": 280, "qsc_code_num_chars": 1480.0, "qsc_code_mean_word_length": 3.17142857, "qsc_code_frac_words_unique": 0.23928571, "qsc_code_frac_chars_top_2grams": 0.02027027, "qsc_code_frac_chars_top_3grams": 0.04954955, "qsc_code_frac_chars_top_4grams": 0.06081081, "qsc_code_frac_chars_dupe_5grams": 0.1644... | 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... |
1ytic/warp-rnnt | pytorch_binding/warp_rnnt/test.py | import torch
import unittest
import numpy as np
import warp_rnnt._C as core
xs = torch.tensor([], dtype=torch.float32)
ys = torch.tensor([], dtype=torch.int)
xn = torch.tensor([], dtype=torch.int)
yn = torch.tensor([], dtype=torch.int)
class RNNTLossTest(unittest.TestCase):
def test_contiguous(self):
x... | 11,908 | test | py | en | python | code | {"qsc_code_num_words": 1746, "qsc_code_num_chars": 11908.0, "qsc_code_mean_word_length": 2.93413517, "qsc_code_frac_words_unique": 0.07502864, "qsc_code_frac_chars_top_2grams": 0.10540699, "qsc_code_frac_chars_top_3grams": 0.12707398, "qsc_code_frac_chars_top_4grams": 0.13429631, "qsc_code_frac_chars_dupe_5grams": 0.82... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code_frac_chars_dupe_6grams": 1, "qsc... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/suggest/bootstrap-suggest.js | /**
* bootstrap-suggest-plugin - v0.1.29
* @description 这是一个基于 bootstrap 按钮式下拉菜单组件的搜索建议插件，必须使用于按钮式下拉菜单组件上。
* @author lzwme - https://lzw.me
* @GitHub https://github.com/lzwme/bootstrap-suggest-plugin.git
* @since 2019-11-18 09:30:06
*/
(function(factory) {
if (typeof define === "function" && define.amd) {
d... | 31,633 | bootstrap-suggest | js | zh | javascript | code | {"qsc_code_num_words": 3491, "qsc_code_num_chars": 31633.0, "qsc_code_mean_word_length": 4.69550272, "qsc_code_frac_words_unique": 0.21426525, "qsc_code_frac_chars_top_2grams": 0.0159224, "qsc_code_frac_chars_top_3grams": 0.01756955, "qsc_code_frac_chars_top_4grams": 0.00841874, "qsc_code_frac_chars_dupe_5grams": 0.130... | 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... |
1y33/100Days | day28/sample.cu | #include <cuda_runtime.h>
#include <torch/extension.h>
#include <float.h>
__global__ void update_x_kernel(
float *x, const float *noise, const float *predicted_noise,
float sqrt_alpha, float sqrt_alpha_hat, float beta, float alpha,
int numel)
{
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (i... | 1,598 | sample | cu | en | cuda | code | {"qsc_code_num_words": 213, "qsc_code_num_chars": 1598.0, "qsc_code_mean_word_length": 4.64319249, "qsc_code_frac_words_unique": 0.26760563, "qsc_code_frac_chars_top_2grams": 0.10920121, "qsc_code_frac_chars_top_3grams": 0.07280081, "qsc_code_frac_chars_top_4grams": 0.03437816, "qsc_code_frac_chars_dupe_5grams": 0.0525... | 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... |
1y33/100Days | day22/persistent2.cu | #include <cuda_runtime.h>
#include <iostream>
#include <cstdlib>
#include <chrono>
#include <thread>
#define IMAGESIZE 1024
#define NUM_IMAGES 1024
#define QUEUE_CAPACITY 2048
#define TARGET_TASKS NUM_IMAGES
#define THREADS_PER_BLOCK 256
struct TaskQueue
{
int *tasks;
volatile int head;
volatile int tail;... | 3,858 | persistent2 | cu | en | cuda | code | {"qsc_code_num_words": 414, "qsc_code_num_chars": 3858.0, "qsc_code_mean_word_length": 5.3647343, "qsc_code_frac_words_unique": 0.25362319, "qsc_code_frac_chars_top_2grams": 0.03241783, "qsc_code_frac_chars_top_3grams": 0.02701486, "qsc_code_frac_chars_top_4grams": 0.01440792, "qsc_code_frac_chars_dupe_5grams": 0.05402... | 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... |
1y33/100Days | day22/persistentKernel.cu | #include <cuda_runtime.h>
#include <iostream>
#include <cstdlib>
#include <chrono>
#define IMAGESIZE 1024 // 32 x 32 x 1
#define NUM_IMAGES 1024 // Total number of images
#define THREADS_PER_BLOCK 256
__device__ float dummyKernel(const float *image)
{
float sum = 0.0f;
for (int i = 0; i < IMAGESIZE; i++)
... | 4,474 | persistentKernel | cu | en | cuda | code | {"qsc_code_num_words": 458, "qsc_code_num_chars": 4474.0, "qsc_code_mean_word_length": 6.27292576, "qsc_code_frac_words_unique": 0.23144105, "qsc_code_frac_chars_top_2grams": 0.05012182, "qsc_code_frac_chars_top_3grams": 0.03132614, "qsc_code_frac_chars_top_4grams": 0.02784546, "qsc_code_frac_chars_dupe_5grams": 0.2196... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ДвиженияДокумента/Ext/Help/ru.html | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"><html><head><meta content="text/html;charset=utf-8" http-equiv="content-type"></meta><link rel="stylesheet" type="text/css" href="v8help://service_book/service_style"></link><meta name="GENERATOR" content="MSHTML 11.00.10570.1001"></meta></head><body>
<p>Пр... | 3,338 | ru | html | ru | html | code | {"qsc_code_num_words": 475, "qsc_code_num_chars": 3338.0, "qsc_code_mean_word_length": 5.45052632, "qsc_code_frac_words_unique": 0.51789474, "qsc_code_frac_chars_top_2grams": 0.01622248, "qsc_code_frac_chars_top_3grams": 0.01738123, "qsc_code_frac_chars_top_4grams": 0.01313248, "qsc_code_frac_chars_dupe_5grams": 0.0316... | 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... |
1y33/100Days | day29/pi.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
__device__ float randomFloat(unsigned int *seed) {
*seed = (*seed * 1664525u + 1013904223u);
return (float)(*seed & 0x00FFFFFF) / (float)0x01000000;
}
__global__ void monteCarloPi(int iterations, unsigned long long *d_count) {
int tid = bloc... | 1,380 | pi | cu | en | cuda | code | {"qsc_code_num_words": 170, "qsc_code_num_chars": 1380.0, "qsc_code_mean_word_length": 5.20588235, "qsc_code_frac_words_unique": 0.34117647, "qsc_code_frac_chars_top_2grams": 0.1220339, "qsc_code_frac_chars_top_3grams": 0.16271186, "qsc_code_frac_chars_top_4grams": 0.07457627, "qsc_code_frac_chars_dupe_5grams": 0.11299... | 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... |
1y33/100Days | day42/mat_mul_2.py | import torch
import triton
import triton.language as tl
@triton.jit
def get_1d_offest(size,n_prev_chunks):
return n_prev_chunks * size + tl.arange(0,size)
@triton.jit
def get_2d_offest(offs_0,offs_1,stride_0,stride_1):
return tl.expand_dims(offs_0,1)*stride_0 + tl.expand_dims(offs_1,0)*stride_1
@triton.jit
... | 2,030 | mat_mul_2 | py | en | python | code | {"qsc_code_num_words": 377, "qsc_code_num_chars": 2030.0, "qsc_code_mean_word_length": 3.16976127, "qsc_code_frac_words_unique": 0.20689655, "qsc_code_frac_chars_top_2grams": 0.0251046, "qsc_code_frac_chars_top_3grams": 0.05020921, "qsc_code_frac_chars_top_4grams": 0.05020921, "qsc_code_frac_chars_dupe_5grams": 0.17573... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ДвиженияДокумента/Templates/ПустаяСхемаКомпоновкиДанных/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" ... | 7,691 | Template | xml | ru | xml | data | {"qsc_code_num_words": 918, "qsc_code_num_chars": 7691.0, "qsc_code_mean_word_length": 5.95424837, "qsc_code_frac_words_unique": 0.16884532, "qsc_code_frac_chars_top_2grams": 0.03713868, "qsc_code_frac_chars_top_3grams": 0.0219539, "qsc_code_frac_chars_top_4grams": 0.02744237, "qsc_code_frac_chars_dupe_5grams": 0.74405... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day50/tritonnn.py | import torch
import triton
import triton.language as tl
@triton.jit
def gelu_kernel(
x_ptr,
output_ptr,
n_elements,
BLOCK_SIZE: tl.constexpr,
):
pid = tl.program_id(axis=0)
block_start = pid * BLOCK_SIZE
offsets = block_start + tl.arange(0, BLOCK_SIZE)
mask = offsets < n_elements
x ... | 3,042 | tritonnn | py | en | python | code | {"qsc_code_num_words": 441, "qsc_code_num_chars": 3042.0, "qsc_code_mean_word_length": 4.04081633, "qsc_code_frac_words_unique": 0.26077098, "qsc_code_frac_chars_top_2grams": 0.05050505, "qsc_code_frac_chars_top_3grams": 0.00841751, "qsc_code_frac_chars_top_4grams": 0.04040404, "qsc_code_frac_chars_dupe_5grams": 0.3557... | 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... |
1y33/100Days | day45/cross_entropy/cross_entropy.py | import torch
import torch.nn as nn
import triton
import triton.language as tl
@triton.jit
def simple_cross_entropy_forward_kernel(
logits_ptr, # pointer to logits tensor (flattened 2D: [batch, vocab])
labels_ptr, # pointer to labels (one int per row)
losses_ptr, # pointer to output losses (o... | 5,147 | cross_entropy | py | en | python | code | {"qsc_code_num_words": 635, "qsc_code_num_chars": 5147.0, "qsc_code_mean_word_length": 4.94488189, "qsc_code_frac_words_unique": 0.24409449, "qsc_code_frac_chars_top_2grams": 0.03821656, "qsc_code_frac_chars_top_3grams": 0.03726115, "qsc_code_frac_chars_top_4grams": 0.05159236, "qsc_code_frac_chars_dupe_5grams": 0.1990... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/select2/select2.css | .select2-container {
box-sizing: border-box;
display: inline-block;
margin: 0;
position: relative;
vertical-align: middle; }
.select2-container .select2-selection--single {
box-sizing: border-box;
cursor: pointer;
display: block;
height: 28px;
user-select: none;
-webkit-user-select: ... | 17,358 | select2 | css | en | css | data | {"qsc_code_num_words": 2015, "qsc_code_num_chars": 17358.0, "qsc_code_mean_word_length": 6.05508685, "qsc_code_frac_words_unique": 0.0808933, "qsc_code_frac_chars_top_2grams": 0.15867552, "qsc_code_frac_chars_top_3grams": 0.08294402, "qsc_code_frac_chars_top_4grams": 0.09343496, "qsc_code_frac_chars_dupe_5grams": 0.873... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code... |
1c-syntax/ssl_3_1 | src/cf/Reports/ИзменениеРазрешенныхЗначенийГруппДоступа/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 39,456 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 2735, "qsc_code_num_chars": 39456.0, "qsc_code_mean_word_length": 11.28007313, "qsc_code_frac_words_unique": 0.13857404, "qsc_code_frac_chars_top_2grams": 0.02333798, "qsc_code_frac_chars_top_3grams": 0.01633659, "qsc_code_frac_chars_top_4grams": 0.02246281, "qsc_code_frac_chars_dupe_5grams": 0.2... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/ИзменениеРазрешенныхЗначенийГруппДоступа/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 3,118 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 220, "qsc_code_num_chars": 3118.0, "qsc_code_mean_word_length": 11.05, "qsc_code_frac_words_unique": 0.54545455, "qsc_code_frac_chars_top_2grams": 0.05923488, "qsc_code_frac_chars_top_3grams": 0.09378856, "qsc_code_frac_chars_top_4grams": 0.07280954, "qsc_code_frac_chars_dupe_5grams": 0.06993007,... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1y33/100Days | day33/load_in_pytorch/test.py | import torch
import ctypes
import time
# Load the shared object
lib = ctypes.CDLL('./kernel.so')
# Specify the argument types for the host wrapper function.
lib.launch_kernel_addition.argtypes = [
ctypes.c_void_p, # pointer to A
ctypes.c_void_p, # pointer to B
ctypes.c_void_p, # pointer to C
ctypes... | 2,242 | test | py | en | python | code | {"qsc_code_num_words": 355, "qsc_code_num_chars": 2242.0, "qsc_code_mean_word_length": 3.97746479, "qsc_code_frac_words_unique": 0.26478873, "qsc_code_frac_chars_top_2grams": 0.09915014, "qsc_code_frac_chars_top_3grams": 0.08498584, "qsc_code_frac_chars_top_4grams": 0.0509915, "qsc_code_frac_chars_dupe_5grams": 0.31515... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ИзменениеРазрешенныхЗначенийГруппДоступа/Templates/Макет.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xm... | 1,235 | Макет | xml | ru | xml | data | {"qsc_code_num_words": 223, "qsc_code_num_chars": 1235.0, "qsc_code_mean_word_length": 3.83408072, "qsc_code_frac_words_unique": 0.32735426, "qsc_code_frac_chars_top_2grams": 0.10526316, "qsc_code_frac_chars_top_3grams": 0.14035088, "qsc_code_frac_chars_top_4grams": 0.1754386, "qsc_code_frac_chars_dupe_5grams": 0.42923... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/select2/select2-bootstrap.min.css | /*!
* Select2 Bootstrap Theme v0.1.0-beta.10 (https://select2.github.io/select2-bootstrap-theme)
* Copyright 2015-2017 Florian Kissling and contributors (https://github.com/select2/select2-bootstrap-theme/graphs/contributors)
* Licensed under MIT (https://github.com/select2/select2-bootstrap-theme/blob/master/LICENS... | 16,704 | select2-bootstrap.min | css | en | css | data | {"qsc_code_num_words": 2322, "qsc_code_num_chars": 16704.0, "qsc_code_mean_word_length": 5.79672696, "qsc_code_frac_words_unique": 0.08828596, "qsc_code_frac_chars_top_2grams": 0.16760773, "qsc_code_frac_chars_top_3grams": 0.21731055, "qsc_code_frac_chars_top_4grams": 0.22347697, "qsc_code_frac_chars_dupe_5grams": 0.81... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 1, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 1, "qsc_code... |
1c-syntax/ssl_3_1 | src/cf/Reports/ДвиженияДокумента/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 9,607 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 755, "qsc_code_num_chars": 9607.0, "qsc_code_mean_word_length": 9.60264901, "qsc_code_frac_words_unique": 0.41854305, "qsc_code_frac_chars_top_2grams": 0.01158621, "qsc_code_frac_chars_top_3grams": 0.00882759, "qsc_code_frac_chars_top_4grams": 0.0137931, "qsc_code_frac_chars_dupe_5grams": 0.06855... | 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... |
1zb/3DILG | README.md | # 3DILG: Irregular Latent Grids for 3D Generative Modeling
### [Project Page](https://1zb.github.io/3DILG/) | [Paper (arXiv)](https://arxiv.org/abs/2205.13914)
**This repository is the official pytorch implementation of *3DILG (https://arxiv.org/abs/2205.13914)*.**
[Biao Zhang](https://1zb.github.io/)<sup>1</sup>,
... | 3,145 | README | md | en | markdown | text | {"qsc_doc_frac_chars_curly_bracket": 0.00572337, "qsc_doc_frac_words_redpajama_stop": 0.12608696, "qsc_doc_num_sentences": 55.0, "qsc_doc_num_words": 481, "qsc_doc_num_chars": 3145.0, "qsc_doc_num_lines": 72.0, "qsc_doc_mean_word_length": 4.85862786, "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_... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/suggest/bootstrap-suggest.min.js | /**
* bootstrap-suggest-plugin - v0.1.29
* @description 这是一个基于 bootstrap 按钮式下拉菜单组件的搜索建议插件，必须使用于按钮式下拉菜单组件上。
* @author lzwme - https://lzw.me
* @GitHub https://github.com/lzwme/bootstrap-suggest-plugin.git
* @since 2019-11-18 09:30:06
*/
!function(e){if("function"==typeof define&&define.amd)define(["jquery"],e);el... | 10,529 | bootstrap-suggest.min | js | en | javascript | code | {"qsc_code_num_words": 2002, "qsc_code_num_chars": 10529.0, "qsc_code_mean_word_length": 3.46153846, "qsc_code_frac_words_unique": 0.16583417, "qsc_code_frac_chars_top_2grams": 0.00634921, "qsc_code_frac_chars_top_3grams": 0.0025974, "qsc_code_frac_chars_top_4grams": 0.01904762, "qsc_code_frac_chars_dupe_5grams": 0.125... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ДвиженияДокумента/Templates/ПустаяСхемаКомпоновкиДанных.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xm... | 1,282 | ПустаяСхемаКомпоновкиДанных | xml | ru | xml | data | {"qsc_code_num_words": 226, "qsc_code_num_chars": 1282.0, "qsc_code_mean_word_length": 3.97787611, "qsc_code_frac_words_unique": 0.34070796, "qsc_code_frac_chars_top_2grams": 0.10011123, "qsc_code_frac_chars_top_3grams": 0.13348165, "qsc_code_frac_chars_top_4grams": 0.16685206, "qsc_code_frac_chars_dupe_5grams": 0.4082... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day83/lin.py | import triton
import triton.language as tl
@triton.jit
def compute_S_kernel(K, V, S, B: tl.constexpr, H: tl.constexpr, N: tl.constexpr, D: tl.constexpr, d_v: tl.constexpr, stride_B_K: tl.constexpr, stride_H_K: tl.constexpr, stride_N_K: tl.constexpr, stride_D_K: tl.constexpr, stride_B_V: tl.constexpr, stride_H_V: tl.co... | 5,243 | lin | py | en | python | code | {"qsc_code_num_words": 1032, "qsc_code_num_chars": 5243.0, "qsc_code_mean_word_length": 2.85465116, "qsc_code_frac_words_unique": 0.0746124, "qsc_code_frac_chars_top_2grams": 0.17549219, "qsc_code_frac_chars_top_3grams": 0.17311609, "qsc_code_frac_chars_top_4grams": 0.04887984, "qsc_code_frac_chars_dupe_5grams": 0.6602... | 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... |
1zb/3DILG | run_class_cond.py | import argparse
import datetime
import numpy as np
import time
import torch
import torch.backends.cudnn as cudnn
import json
import os
from pathlib import Path
from collections import OrderedDict
from timm.models import create_model
from timm.utils import ModelEma
from optim_factory import create_optimizer, get_param... | 14,592 | run_class_cond | py | en | python | code | {"qsc_code_num_words": 1912, "qsc_code_num_chars": 14592.0, "qsc_code_mean_word_length": 4.72175732, "qsc_code_frac_words_unique": 0.18253138, "qsc_code_frac_chars_top_2grams": 0.04585733, "qsc_code_frac_chars_top_3grams": 0.08661941, "qsc_code_frac_chars_top_4grams": 0.01473195, "qsc_code_frac_chars_dupe_5grams": 0.28... | 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... |
1zb/3DILG | run_vqvae.py | import argparse
import datetime
import numpy as np
import time
import torch
import torch.backends.cudnn as cudnn
import json
import os
from pathlib import Path
from collections import OrderedDict
from timm.models import create_model
from timm.utils import ModelEma
from optim_factory import create_optimizer, get_param... | 14,486 | run_vqvae | py | en | python | code | {"qsc_code_num_words": 1892, "qsc_code_num_chars": 14486.0, "qsc_code_mean_word_length": 4.72410148, "qsc_code_frac_words_unique": 0.1807611, "qsc_code_frac_chars_top_2grams": 0.04430521, "qsc_code_frac_chars_top_3grams": 0.08368763, "qsc_code_frac_chars_top_4grams": 0.01488029, "qsc_code_frac_chars_dupe_5grams": 0.283... | 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... |
1y33/100Days | day12/softMax.cu | #include <cuda_runtime.h>
__global__ void softmax(int w, int h, float *input, float *output)
{
int col = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y + threadIdx.y;
if (row < h && col < w)
{
float maxval = input[row * w];
for (int i = 1; i < w; i++)
... | 7,406 | softMax | cu | en | cuda | code | {"qsc_code_num_words": 961, "qsc_code_num_chars": 7406.0, "qsc_code_mean_word_length": 3.85015609, "qsc_code_frac_words_unique": 0.08949011, "qsc_code_frac_chars_top_2grams": 0.0372973, "qsc_code_frac_chars_top_3grams": 0.06540541, "qsc_code_frac_chars_top_4grams": 0.11918919, "qsc_code_frac_chars_dupe_5grams": 0.74621... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jasny/jasny-bootstrap.min.js | /*!
* Jasny Bootstrap v3.1.3 (http://jasny.github.io/bootstrap)
* Copyright 2012-2014 Arnold Daniels
* Licensed under Apache-2.0 (https://github.com/jasny/bootstrap/blob/master/LICENSE)
*/
if("undefined"==typeof jQuery)throw new Error("Jasny Bootstrap's JavaScript requires jQuery");+function(a){"use strict";functio... | 16,780 | jasny-bootstrap.min | js | en | javascript | code | {"qsc_code_num_words": 2788, "qsc_code_num_chars": 16780.0, "qsc_code_mean_word_length": 4.32604017, "qsc_code_frac_words_unique": 0.1061693, "qsc_code_frac_chars_top_2grams": 0.06201807, "qsc_code_frac_chars_top_3grams": 0.00928613, "qsc_code_frac_chars_top_4grams": 0.00397977, "qsc_code_frac_chars_dupe_5grams": 0.300... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jasny/jasny-bootstrap.min.css | /*!
* Jasny Bootstrap v3.1.3 (http://jasny.github.io/bootstrap)
* Copyright 2012-2014 Arnold Daniels
* Licensed under Apache-2.0 (https://github.com/jasny/bootstrap/blob/master/LICENSE)
*/
.container-smooth{max-width:1170px}@media (min-width:1px){.container-smooth{width:auto}}.btn-labeled{padding-top:0;padding-bot... | 13,997 | jasny-bootstrap.min | css | en | css | data | {"qsc_code_num_words": 2193, "qsc_code_num_chars": 13997.0, "qsc_code_mean_word_length": 5.06383949, "qsc_code_frac_words_unique": 0.08891929, "qsc_code_frac_chars_top_2grams": 0.08464656, "qsc_code_frac_chars_top_3grams": 0.11094102, "qsc_code_frac_chars_top_4grams": 0.10355696, "qsc_code_frac_chars_dupe_5grams": 0.66... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jasny/jasny-bootstrap.css | /*!
* Jasny Bootstrap v3.1.3 (http://jasny.github.io/bootstrap)
* Copyright 2012-2014 Arnold Daniels
* Licensed under Apache-2.0 (https://github.com/jasny/bootstrap/blob/master/LICENSE)
*/
.container-smooth {
max-width: 1170px;
}
@media (min-width: 1px) {
.container-smooth {
width: auto;
}
}
.btn-labeled... | 16,239 | jasny-bootstrap | css | en | css | data | {"qsc_code_num_words": 2196, "qsc_code_num_chars": 16239.0, "qsc_code_mean_word_length": 5.06466302, "qsc_code_frac_words_unique": 0.08879781, "qsc_code_frac_chars_top_2grams": 0.08451717, "qsc_code_frac_chars_top_3grams": 0.11077144, "qsc_code_frac_chars_top_4grams": 0.10339867, "qsc_code_frac_chars_dupe_5grams": 0.66... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1c-syntax/ssl_3_1 | src/cf/Reports/МестаИспользованияСсылок/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 5,434 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 411, "qsc_code_num_chars": 5434.0, "qsc_code_mean_word_length": 10.10948905, "qsc_code_frac_words_unique": 0.43309002, "qsc_code_frac_chars_top_2grams": 0.00722022, "qsc_code_frac_chars_top_3grams": 0.01058965, "qsc_code_frac_chars_top_4grams": 0.02310469, "qsc_code_frac_chars_dupe_5grams": 0.117... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/jasny/jasny-bootstrap.js | /*!
* Jasny Bootstrap v3.1.3 (http://jasny.github.io/bootstrap)
* Copyright 2012-2014 Arnold Daniels
* Licensed under Apache-2.0 (https://github.com/jasny/bootstrap/blob/master/LICENSE)
*/
if (typeof jQuery === 'undefined') { throw new Error('Jasny Bootstrap\'s JavaScript requires jQuery') }
/* ==================... | 30,975 | jasny-bootstrap | js | en | javascript | code | {"qsc_code_num_words": 3413, "qsc_code_num_chars": 30975.0, "qsc_code_mean_word_length": 5.24553179, "qsc_code_frac_words_unique": 0.13419279, "qsc_code_frac_chars_top_2grams": 0.04178071, "qsc_code_frac_chars_top_3grams": 0.00614422, "qsc_code_frac_chars_top_4grams": 0.00714964, "qsc_code_frac_chars_dupe_5grams": 0.34... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/datapicker/bootstrap-datetimepicker.min.css | /*!
* Datetimepicker for Bootstrap
*
* Copyright 2012 Stefan Petre
* Improvements by Andrew Rowls
* Licensed under the Apache License v2.0
* http://www.apache.org/licenses/LICENSE-2.0
*
*/.datetimepicker{padding:4px;margin-top:1px;-webkit-border-radius:4px;-moz-border-radius:4px;border-radius:4px;direction:ltr}... | 11,276 | bootstrap-datetimepicker.min | css | en | css | data | {"qsc_code_num_words": 1634, "qsc_code_num_chars": 11276.0, "qsc_code_mean_word_length": 5.65361077, "qsc_code_frac_words_unique": 0.09547124, "qsc_code_frac_chars_top_2grams": 0.08562459, "qsc_code_frac_chars_top_3grams": 0.10911453, "qsc_code_frac_chars_top_4grams": 0.27137909, "qsc_code_frac_chars_dupe_5grams": 0.79... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/datapicker/bootstrap-datetimepicker.js | /* =========================================================
* bootstrap-datetimepicker.js
* =========================================================
* Copyright 2012 Stefan Petre
*
* Improvements by Andrew Rowls
* Improvements by Sébastien Malot
* Improvements by Yun Lai
* Improvements by Kenneth Henderick
... | 70,651 | bootstrap-datetimepicker | js | en | javascript | code | {"qsc_code_num_words": 7008, "qsc_code_num_chars": 70651.0, "qsc_code_mean_word_length": 5.27910959, "qsc_code_frac_words_unique": 0.11015982, "qsc_code_frac_chars_top_2grams": 0.02675965, "qsc_code_frac_chars_top_3grams": 0.01865066, "qsc_code_frac_chars_top_4grams": 0.00924424, "qsc_code_frac_chars_dupe_5grams": 0.38... | 1 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/МестаИспользованияСсылок/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 2,526 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 189, "qsc_code_num_chars": 2526.0, "qsc_code_mean_word_length": 9.87830688, "qsc_code_frac_words_unique": 0.65079365, "qsc_code_frac_chars_top_2grams": 0.05141939, "qsc_code_frac_chars_top_3grams": 0.00428495, "qsc_code_frac_chars_top_4grams": 0.0, "qsc_code_frac_chars_dupe_5grams": 0.0, "qsc_cod... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 0, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/УчастникиГруппДоступа/Templates/Макет/Ext/Template.xml | <?xml version="1.0" encoding="UTF-8"?>
<DataCompositionSchema xmlns="http://v8.1c.ru/8.1/data-composition-system/schema" xmlns:dcscom="http://v8.1c.ru/8.1/data-composition-system/common" xmlns:dcscor="http://v8.1c.ru/8.1/data-composition-system/core" xmlns:dcsset="http://v8.1c.ru/8.1/data-composition-system/settings" ... | 9,375 | Template | xml | ru | xml | data | {"qsc_code_num_words": 1033, "qsc_code_num_chars": 9375.0, "qsc_code_mean_word_length": 6.58276864, "qsc_code_frac_words_unique": 0.17909003, "qsc_code_frac_chars_top_2grams": 0.04426471, "qsc_code_frac_chars_top_3grams": 0.0275, "qsc_code_frac_chars_top_4grams": 0.0425, "qsc_code_frac_chars_dupe_5grams": 0.59808824, "... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/layer/theme/default/layer.css | /* *html{background-image: url(about:blank); background-attachment: fixed;} */
html #layuicss-layer{display: none; position: absolute; width: 1989px;}
/* common */
.layui-layer-shade, .layui-layer{position:fixed; _position:absolute; pointer-events: auto;}
.layui-layer-shade{top:0; left:0; width:100%; height:100%; _hei... | 16,286 | layer | css | en | css | data | {"qsc_code_num_words": 2401, "qsc_code_num_chars": 16286.0, "qsc_code_mean_word_length": 5.10745523, "qsc_code_frac_words_unique": 0.12994586, "qsc_code_frac_chars_top_2grams": 0.15086031, "qsc_code_frac_chars_top_3grams": 0.03057979, "qsc_code_frac_chars_top_4grams": 0.03522792, "qsc_code_frac_chars_dupe_5grams": 0.55... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 1, "qsc_code_mean_word_length": 0, "qsc_code_frac_words_unique": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1c-syntax/ssl_3_1 | src/cf/Reports/ПроверкаЦелостностиТома/Ext/ObjectModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 7,019 | ObjectModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 506, "qsc_code_num_chars": 7019.0, "qsc_code_mean_word_length": 10.8715415, "qsc_code_frac_words_unique": 0.41304348, "qsc_code_frac_chars_top_2grams": 0.01854208, "qsc_code_frac_chars_top_3grams": 0.01817851, "qsc_code_frac_chars_top_4grams": 0.02254136, "qsc_code_frac_chars_dupe_5grams": 0.1765... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/ПроверкаЦелостностиТома/Ext/ManagerModule.bsl | ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2024, ООО 1С-Софт
// Все права защищены. Эта программа и сопроводительные материалы предоставляются
// в соответствии с условиями лицензии Attribution 4.0 International (CC BY 4.0)
// Текст лицензи... | 3,280 | ManagerModule | bsl | ru | 1c enterprise | code | {"qsc_code_num_words": 241, "qsc_code_num_chars": 3280.0, "qsc_code_mean_word_length": 10.27385892, "qsc_code_frac_words_unique": 0.56846473, "qsc_code_frac_chars_top_2grams": 0.00242326, "qsc_code_frac_chars_top_3grams": 0.00323102, "qsc_code_frac_chars_top_4grams": 0.0371567, "qsc_code_frac_chars_dupe_5grams": 0.0, "... | 0 | {"qsc_code_frac_chars_replacement_symbols": 0, "qsc_code_num_words": 0, "qsc_code_num_chars": 0, "qsc_code_mean_word_length": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 0, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code_frac_chars_dupe_6grams": 0, "qsc... |
1c-syntax/ssl_3_1 | src/cf/Reports/ПроверкаЦелостностиТома/Templates/ОсновнаяСхемаКомпоновкиДанных.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xm... | 1,286 | ОсновнаяСхемаКомпоновкиДанных | xml | ru | xml | data | {"qsc_code_num_words": 226, "qsc_code_num_chars": 1286.0, "qsc_code_mean_word_length": 3.99557522, "qsc_code_frac_words_unique": 0.34070796, "qsc_code_frac_chars_top_2grams": 0.09966777, "qsc_code_frac_chars_top_3grams": 0.13289037, "qsc_code_frac_chars_top_4grams": 0.16611296, "qsc_code_frac_chars_dupe_5grams": 0.4064... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/bootstrap-table/locale/bootstrap-table-zh-CN.js | /**
* Bootstrap Table Chinese translation
* Author: Zhixin Wen<wenzhixin2010@gmail.com>
*/
$.fn.bootstrapTable.locales['zh-CN'] = {
formatShowSearch: function formatShowSearch() {
return '隐藏/显示搜索';
},
formatPageGo: function formatPageGo() {
return '跳转';
},
formatCopyRows: function formatCopyRows() ... | 3,292 | bootstrap-table-zh-CN | js | en | javascript | code | {"qsc_code_num_words": 242, "qsc_code_num_chars": 3292.0, "qsc_code_mean_word_length": 9.45867769, "qsc_code_frac_words_unique": 0.40909091, "qsc_code_frac_chars_top_2grams": 0.02096986, "qsc_code_frac_chars_top_3grams": 0.02228047, "qsc_code_frac_chars_top_4grams": 0.02621232, "qsc_code_frac_chars_dupe_5grams": 0.0760... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ПроверкаЦелостностиТома/Ext/Help/ru.html | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"><html><head><meta content="text/html;charset=utf-8" http-equiv="content-type"></meta><link rel="stylesheet" type="text/css" href="v8help://service_book/service_style"></link><meta name="GENERATOR" content="MSHTML 11.00.10570.1001"></meta></head><body>
<p>От... | 1,516 | ru | html | ru | html | code | {"qsc_code_num_words": 215, "qsc_code_num_chars": 1516.0, "qsc_code_mean_word_length": 5.35348837, "qsc_code_frac_words_unique": 0.57674419, "qsc_code_frac_chars_top_2grams": 0.01737619, "qsc_code_frac_chars_top_3grams": 0.09035621, "qsc_code_frac_chars_top_4grams": 0.1424848, "qsc_code_frac_chars_dupe_5grams": 0.14596... | 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... |
1diot9/MyJavaSecStudy | CodeAudit/RuoYi/RuoYi-4.7.5/ruoyi-admin/src/main/resources/static/ajax/libs/bootstrap-table/locale/bootstrap-table-zh-CN.min.js | $.fn.bootstrapTable.locales["zh-CN"]={formatShowSearch:function formatShowSearch(){return"隐藏/显示搜索"},formatPageGo:function formatPageGo(){return"跳转"},formatCopyRows:function formatCopyRows(){return"复制行"},formatPrint:function formatPrint(){return"打印"},formatLoadingMessage:function formatLoadingMessage(){return"正在努力地加载数据中... | 2,653 | bootstrap-table-zh-CN.min | js | en | javascript | code | {"qsc_code_num_words": 232, "qsc_code_num_chars": 2653.0, "qsc_code_mean_word_length": 9.57327586, "qsc_code_frac_words_unique": 0.38362069, "qsc_code_frac_chars_top_2grams": 0.02161189, "qsc_code_frac_chars_top_3grams": 0.02296263, "qsc_code_frac_chars_top_4grams": 0.02701486, "qsc_code_frac_chars_dupe_5grams": 0.0783... | 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... |
1ytic/warp-rnnt | tensorflow_binding/core.h | #ifndef RNNT_CORE_H
#define RNNT_CORE_H
#include <cuda_runtime.h>
#include <stdio.h>
#define CHECK_KERNEL_STAT(s) \
{ \
cudaError_t err = cudaGetLastError(); ... | 3,010 | core | h | en | c | code | {"qsc_code_num_words": 299, "qsc_code_num_chars": 3010.0, "qsc_code_mean_word_length": 4.59866221, "qsc_code_frac_words_unique": 0.28428094, "qsc_code_frac_chars_top_2grams": 0.184, "qsc_code_frac_chars_top_3grams": 0.09309091, "qsc_code_frac_chars_top_4grams": 0.048, "qsc_code_frac_chars_dupe_5grams": 0.52436364, "qsc... | 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... |
1c-syntax/ssl_3_1 | src/cf/Reports/ИзменениеУчастниковГруппПользователей/Templates/Макет.xml | <?xml version="1.0" encoding="UTF-8"?>
<MetaDataObject xmlns="http://v8.1c.ru/8.3/MDClasses" xmlns:app="http://v8.1c.ru/8.2/managed-application/core" xmlns:cfg="http://v8.1c.ru/8.1/data/enterprise/current-config" xmlns:cmi="http://v8.1c.ru/8.2/managed-application/cmi" xmlns:ent="http://v8.1c.ru/8.1/data/enterprise" xm... | 1,235 | Макет | xml | ru | xml | data | {"qsc_code_num_words": 223, "qsc_code_num_chars": 1235.0, "qsc_code_mean_word_length": 3.83408072, "qsc_code_frac_words_unique": 0.32735426, "qsc_code_frac_chars_top_2grams": 0.10526316, "qsc_code_frac_chars_top_3grams": 0.14035088, "qsc_code_frac_chars_top_4grams": 0.1754386, "qsc_code_frac_chars_dupe_5grams": 0.42923... | 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": 1, "qsc_code_frac_chars_top_2grams": 0, "qsc_code_frac_chars_top_3grams": 0, "qsc_code_frac_chars_top_4grams": 1, "qsc_code_frac_chars_dupe_5grams": 0, "qsc_code... |
1y33/100Days | day44/tritonkernel.py | import torch
import triton
import triton.language as tl
import time
import csv
import matplotlib.pyplot as plt
import pandas as pd
@triton.jit
def square_relu_function(
x_ptr, N,
o_ptr,
BLOCKSIZE: tl.constexpr
):
pid = tl.program_id(0)
offset = pid * BLOCKSIZE + tl.arange(0, BLOCKSIZE)
mask = o... | 3,298 | tritonkernel | py | en | python | code | {"qsc_code_num_words": 475, "qsc_code_num_chars": 3298.0, "qsc_code_mean_word_length": 4.27578947, "qsc_code_frac_words_unique": 0.34105263, "qsc_code_frac_chars_top_2grams": 0.06646972, "qsc_code_frac_chars_top_3grams": 0.0295421, "qsc_code_frac_chars_top_4grams": 0.03692762, "qsc_code_frac_chars_dupe_5grams": 0.23042... | 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... |
1y33/100Days | day31/kernel.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <time.h>
#define WIDTH 512
#define HEIGHT 512
#define TILE_SIZE 16
#define DU 0.16f
#define DV 0.08f
#define F 0.060f
#define K 0.062f
#define DT 1.0f
__global__ void reactionDiffusionStep(const float* u, const float* v,
... | 6,811 | kernel | cu | en | cuda | code | {"qsc_code_num_words": 1035, "qsc_code_num_chars": 6811.0, "qsc_code_mean_word_length": 2.83671498, "qsc_code_frac_words_unique": 0.08792271, "qsc_code_frac_chars_top_2grams": 0.02861035, "qsc_code_frac_chars_top_3grams": 0.04768392, "qsc_code_frac_chars_top_4grams": 0.03269755, "qsc_code_frac_chars_dupe_5grams": 0.476... | 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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