ananis25

Panel
  Context
    Specify -> Sequence Attributes
    Search -> Event Attributes
    Select -> Focus
  Sequence Attributes
    Filter -> Context
  Event Attributes
    Insert -> Context
    Split -> Focus

ananis25

Panel
  Context
    Specify -> Sequence Attributes
  Second State
  Sequence Attributes
  Event attributes

ananis25

"""
This module implements a pandas extension datatype/array wrapping multidim numpy arrays. 
The default pandas behavior is to convert it to a numpy array of type `object`, which is 
not the most efficient. For ex - an arrow dataset of size 500MB with some multidim arrays 
as columns explodes to 3GB. All I want is to filter on other column values, till an arrow 
native dataframe library comes along! 

Even so, a lot of other libraries require a pandas dataframe as input, so this gives us 
efficient conversion. 
"""

ananis25

#include <stdlib.h>
#include <arrow-glib/arrow-glib.h>

int main(int argc, char **argv)
{
    int success = EXIT_FAILURE;
    GError *error = NULL;
    GArrowMemoryMappedInputStream *input;
    GArrowRecordBatchFileReader *reader;

ananis25

import uvicorn

from http.cookies import SimpleCookie
from urllib.parse import parse_qsl
from datasette_auth_github import GitHubAuth, utils


class GitHubAuthProxy(GitHubAuth):
    login_path = "/-/login"