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 |