I hereby claim:
- I am polyrand on github.
- I am rickaa (https://keybase.io/rickaa) on keybase.
- I have a public key ASBq-GgVhlonNCLCA_47BxcZvf7c36TH5w_J-C6zt_qj9Ao
To claim this, I am signing this object:
| import React, { useState } from "react"; | |
| import ReactDOM from "react-dom"; | |
| class ClassExample extends React.Component { | |
| constructor(props) { | |
| super(props); | |
| this.state = { count: 0 }; | |
| } |
I hereby claim:
To claim this, I am signing this object:
| import React, { useState, useEffect } from "react"; | |
| import ReactDOM from "react-dom"; | |
| // import "./App.css"; | |
| class ExampleClass extends React.Component { | |
| constructor(props) { | |
| super(props); | |
| this.state = { count: 0 }; | |
| } |
| import React, { useState } from "react"; | |
| import ReactDOM from "react-dom"; | |
| // import "./App.css"; | |
| class ClassExample extends React.Component { | |
| constructor(props) { | |
| super(props); | |
| this.state = { count: 0 }; | |
| } |
| Non-user install because user site-packages disabled | |
| Created temporary directory: /private/var/folders/gz/zzx2nwnj45x024zrqbkr0cm00000gn/T/pip-ephem-wheel-cache-6n511flg | |
| Created temporary directory: /private/var/folders/gz/zzx2nwnj45x024zrqbkr0cm00000gn/T/pip-req-tracker-rb5j0ih0 | |
| Initialized build tracking at /private/var/folders/gz/zzx2nwnj45x024zrqbkr0cm00000gn/T/pip-req-tracker-rb5j0ih0 | |
| Created build tracker: /private/var/folders/gz/zzx2nwnj45x024zrqbkr0cm00000gn/T/pip-req-tracker-rb5j0ih0 | |
| Entered build tracker: /private/var/folders/gz/zzx2nwnj45x024zrqbkr0cm00000gn/T/pip-req-tracker-rb5j0ih0 | |
| Created temporary directory: /private/var/folders/gz/zzx2nwnj45x024zrqbkr0cm00000gn/T/pip-install-xiyr_889 | |
| 1 location(s) to search for versions of gensim: | |
| * https://pypi.org/simple/gensim/ | |
| Fetching project page and analyzing links: https://pypi.org/simple/gensim/ |
| from typing import Iterable | |
| def get_repr(elem, l): | |
| if len(str(elem)) > l: | |
| return str(elem)[: l - 3] + "..." | |
| return str(elem) |
| new_cols_nodrug = [c for c in df.columns.to_list() if c not in all_drug_cols] | |
| new_cols = new_cols_nodrug.copy() | |
| for i in range(len(drugs)): | |
| new_cols.append(f"drug_{i}") | |
| new_cols.append(f"pasi_inicial_{i}") | |
| new_cols.append(f"tiempo_{i}") | |
| new_cols.append(f"motivo_{i}") | |
| -- walkthrough of: https://mystery.knightlab.com | |
| -- | |
| /* A crime has taken place and the detective needs | |
| * your help. The detective gave you the crime | |
| * scene report, but you somehow lost it. You | |
| * vaguely remember that the crime was a murder | |
| * that occurred sometime on Jan.15, 2018 and that | |
| * it took place in SQL City. Start by retrieving | |
| * the corresponding crime scene report from the | |
| * police department’s database. */ |
| # docd.py | |
| def doc(f): | |
| with open("docs.txt") as d: | |
| docfile = d.read() | |
| # save old docstring | |
| if f.__doc__: | |
| prev_doc = f.__doc__ | |
| f.__doc__ = prev_doc + "\n\n# docdoc\n" + docfile |
| import inspect | |
| from functools import partial, wraps | |
| from typing import Union | |
| from app import schemas | |
| from app.db import database | |
| from pydantic.main import ModelMetaclass | |
| from shortuuid import uuid | |
| # The following 2 functions parse raw results from the SQL queries |