awkward-1.0 | Manipulate JSON-like data with NumPy-like idioms | Data Visualization library

a, b, c = map(
    lambda coeff: int(coeff) if coeff else 1,
    re.match(
        r"(-?\d*)x2\s*\+\s*(-?\d*)x\s*\+\s*(-?\d*)\s*=\s*0\s*$",
        input("...")
    ).groups()
)

equation_pattern = re.compile(r"(?P<

def verified():
    print('verified')
    return False

def redirect():
    print('redirect')

def verify(func):
    if verified():
        return func
    else:
        return redirect


@verify
def myfunc():
    print('myfunc')
myfunc()

def replaceTest(mystring):
          stringSplit = mystring.split()
          for i, word in enumerate(stringSplit):
            if word == 'test':
              stringSplit[i] = 'cat'
            answer = " ".join(stringSplit)
          p

import sys

def fn():    return sys._getframe(1).f_code.co_name
def line():  return sys._getframe(1).f_lineno

def main():
  print(sys._getframe().f_code.co_name, fn())
  print(sys._getframe().f_lineno,       line())

main()

_poly_dict = {}
_vinit_dict = {}

def get_poly(dtype):
    poly = _poly_dict.get(dtype)
    if not poly:
       _poly_dict[dtype] = np.empty(..., dtype=dtype)
       # ... initialize it
    return poly

# etc.

cdef

if '"text": ""' in i == False:

if '"text": ""' not in i:

a < b < c

a < b and b < c

if '"text": ""' in i and i == False:

@dataclass
class Car:
    NO_ARG = object()

    make: str = None
    category: str = NO_ARG
    reg: Registration = None

    def __post_init__(self):
        if self.reg:
            for var in vars(self.reg):
                if getattr(

# Get limit points
l = gpd.read_file('param_geo/sabah.shp')['geometry'].bounds
lat_min,lat_max,lon_min,lon_max  = l['miny'].iloc[0], l['maxy'].iloc[0], l['minx'].iloc[0], l['maxx'].iloc[0]
xmin,xmax = ax.get_xlim()
ymin,ymax = ax.get_ylim(

{-# LANGUAGE DeriveGeneric, DeriveAnyClass #-}

import GHC.Generics

import Data.Aeson
import Data.Aeson.TH

data Tree = Node Tree Tree | Nil
 deriving (Generic, FromJSON, ToJSON)

        "tag": "Node",
        "co