text string | label_name string | labels int64 |
|---|---|---|
ed_by_density: IndexMap::< ConstraintDensity, Vec<Constraint<F>> > = IndexMap::new();
for constraint in instance.constraints.iter() {
if let Some(batch) = constraints_batched_by_density.get_mut(&constraint.density) {
batch.push(constraint.clone());
} else {
... | Rust | 0 |
from data_processing.crawler.crawler import Crawler
from database import database
from data_processing.summary_and_embedding.summary_and_embedding import SummaryAndEmbedding
from database.opensearch.create_opensearch import CreateOpensearch
from properties import Properties
class Main:
def main():
# 1. ... | Python | 1 |
# Copyright (c) OpenMMLab. All rights reserved.
import torch
# copy from https://github.com/openppl-public/ppq/blob/master/ppq/quantization/measure/norm.py # noqa: E501
def torch_snr_error(y_pred: torch.Tensor,
y_real: torch.Tensor,
reduction: str = 'mean') -> torch.Tensor:
... | Python | 1 |
ConfigUpdate::ServiceUpdate(service) => {
let mut matchers = Vec::new();
for filter in service.filters {
if let FilterSetting::ACL(acl) = filter {
matchers.push(ACLMatcher::new(&acl));
}
}
... | Rust | 0 |
u32,
pub RPR1: u32,
pub FPR1: u32,
pub SECCFGR1: u32,
pub PRIVCFGR1: u32,
pub RTSR2: u32,
pub FTSR2: u32,
pub SWIER2: u32,
pub RPR2: u32,
pub FPR2: u32,
pub PRIVCFGR2: u32,
pub SECCFGR2: u32,
pub EXTICR1: u32,
pub EXTICR2: u32,
pub EXTICR3: u32,
pub EXTICR4: ... | Rust | 0 |
start = self.nhc_fields_start();
0xf0b0 + (data[start] & 0xff) as u16
}
_ => unreachable!(),
}
}
/// Return the checksum.
pub fn checksum(&self) -> Option<u16> {
if self.checksum_field() == 0b0 {
// Th... | Rust | 0 |
if let Some(opr) = self.opr {
match opr {
algebra_pb::logical_plan::operator::Opr::GroupBy(non_key_group) => {
Ok(Box::new(non_key_group))
}
_ => Err(ParsePbError::from("algebra_pb op is not a fold op").into()),
}
} else... | Rust | 0 |
ce_grid,
alpha=0.4,
cmap='viridis',
edgecolor='none'
)
# 标签与颜色条
ax.set_xlabel('Housing Age')
ax.set_ylabel('Homeowner Income')
fig.colorbar(scatter, ax=ax, label='House Price(*10k)')
plt.title('Layer:64*32*16')
plt.show()
# fig = plt.figure()
# ax = fig.add_subplot(111, projection='3d')
# # 使用 y 值... | Python | 1 |
# Mide las utilidades con las variables de precio, utilidad y gastos totales.
# Función para validar que sea número el input
def verifica_int(valor):
try:
int(valor)
return True
except ValueError:
return False
#función principal
def utilidadesV1 ():
while True: #para h... | Python | 1 |
a
g @ s< |