国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
| """Functions for working with remote files using pandas and paramiko (SFTP/SSH).""" | |
| import pandas as pd | |
| import paramiko | |
| def read_csv_sftp(hostname: str, username: str, remotepath: str, *args, **kwargs) -> pd.DataFrame: | |
| """ | |
| Read a file from a remote host using SFTP over SSH. | |
| Args: |
国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
| from __future__ import print_function, absolute_import | |
| __all__ = ['accuracy'] | |
| def accuracy(output, target, topk=(1,)): | |
| """Computes the precision@k for the specified values of k""" | |
| maxk = max(topk) | |
| batch_size = target.size(0) | |
| _, pred = output.topk(maxk, 1, True, True) |
| # -*- coding: utf-8 -*- | |
| import logging | |
| import os | |
| import datetime | |
| import time | |
| class SingletonType(type): | |
| _instances = {} |
Merged from https://github.com/joelparkerhenderson/git_commit_message and https://chris.beams.io/posts/git-commit/
| #cython: boundscheck=False, wraparound=False | |
| import numpy as np | |
| cimport numpy as np | |
| from cython.parallel cimport prange | |
| def dot(np.ndarray[np.float32_t, ndim=2] a not None, | |
| np.ndarray[np.float32_t, ndim=2] b not None, | |
| np.ndarray[np.float32_t, ndim=2] out=None): | |
| """Naive O(N**3) 2D np.dot() implementation.""" |