| import pandas as pd | |
| from sklearn.feature_selection import mutual_info_regression | |
| from talib import WMA | |
| from dcor import distance_correlation as dcor | |
| from joblib import Parallel, delayed, Memory, cpu_count | |
| from numpy_ext import rolling_apply | |
| import numpy as np | |
| from fml.utils import get_name |
| #!/bin/sh | |
| # Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the | |
| # CREATE block and create them in separate commands _after_ all the INSERTs. | |
| # Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk. | |
| # The mysqldump file is traversed only once. | |
| # Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite | |
| # Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite |
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| """making a dataframe""" | |
| df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB')) | |
| """quick way to create an interesting data frame to try things out""" | |
| df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd']) | |
| """convert a dictionary into a DataFrame""" | |
| """make the keys into columns""" | |
| df = pd.DataFrame(dic, index=[0]) |
| kubectl get pods --all-namespaces | grep Evicted | awk '{print $2 " --namespace=" $1}' | xargs kubectl delete pod |
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及分年数据（存在部分重复影片，原始数据的问题）：
| # AFF | |
| # 如果你想支持我，可以通过我的邀请链接购买机场 | |
| # 感谢支持 | |
| # 1. 倾城极速 邀请码: 0jiB5uAA https://qcjs.ovh/#/register?code=0jiB5uAA | |
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| # 一定要填我的邀请码，不填我哭给你看😭 | |
| # mihomo (Clash Meta) 懒人配置 | |
| # 版本 V1.21-250619 | |
| # https://gist.github.com/liuran001/5ca84f7def53c70b554d3f765ff86a33 |
| You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE. | |
| You are pair programming with a USER to solve their coding task. | |
| The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. | |
| Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. | |
| This information may or may not be relevant to the coding task, it is up for you to decide. | |
| Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag. | |
| <communication> | |
| 1. Be conversational but professional. |
