Milad Pourrahmani Miladiouss

## pix2world_timing.py
from time import sleep, time
import numpy as np
from astropy import wcs

w = wcs.WCS(naxis=2)
w.wcs.ctype = ["RA---SIN","DEC--SIN"]
w.wcs.cdelt = (6.2/3600, 6.2/3600)
w.wcs.crval = (30, 60)
w.wcs.crota = (0, 15)
# ----------------------------------------

## matplotlibTemplate.py
"""
Author: Miladious
Latest Modification Date: Oct 11, 2019
About:
Creating a publication quality figure using matplotlib requires a lot of tweaks.
In this gist, I show the main tweaks for creating publication quality plots.
This is an example how one would plot astronomical images in python.
Feel free to modify to your field's standards.
"""

## IPythonAppetizer.py
# https://gist.github.com/Miladiouss/332b21e3c9d82ca2085b1396641cc80d
#-----------------------------------------------------------
# IPython
from IPython.core.interactiveshell import InteractiveShell
from IPython.display import clear_output
InteractiveShell.ast_node_interactivity = "all"
from IPython import display

#-----------------------------------------------------------
# Scientific

## HSC-Cat-Selection.sql
-- An HSC-PDR2 SQL query to extract RA, Dec, tract, patch of clean galaxies with a magnitude cut.

-- Useful Links:
-- /https://hsc-release.mtk.nao.ac.jp/hscMap-pdr2/app/#/?_=%7B%22view%22%3A%7B%22a%22%3A5.770914805732617,%22d%22%3A-0.019535944017082533,%22fovy%22%3A0.0002503311005562077,%22roll%22%3A0%7D,%22sspParams%22%3A%7B%22type%22%3A%22SDSS_TRUE_COLOR%22,%22filter%22%3A%5B%22HSC-I%22,%22HSC-R%22,%22HSC-G%22%5D,%22simpleRgb%22%3A%7B%22beta%22%3A22026.465794806718,%22a%22%3A1,%22bias%22%3A0.05,%22b0%22%3A0%7D,%22sdssTrueColor%22%3A%7B%22beta%22%3A26003.369421497522,%22a%22%3A1,%22bias%22%3A0.14439999999999995,%22b0%22%3A0%7D%7D%7D
-- https://hsc-release.mtk.nao.ac.jp/schema/#pdr2.pdr2_wide.forced


SELECT
        object_id
        , tract

## Ordinality.py
def appendOrdinality(df, columns, ascending, strictlyIncreasing=False):
    """
    Appends absolute and relative ordinality to a dataframe.
    Oridinality is the normalized position of a row in a sorted dataframe.

    df:
        Pandas DataFrame
    columns:
        List of column names for to be used for sorting (e.g. ['prob_1'])
    ascending:

## Stamp.py
from datetime import datetime
timeFormat = '%a %b %d %Y at %H:%M:%S'
import socket
deviceName = socket.gethostname()
import getpass
userName = getpass.getuser()

t1 = datetime.now()
print(t1.strftime(timeFormat) + ' on ' + deviceName + ' by ' + userName)

## GPU Detection Test in Python and PyTorch.py
# GPU Detection Tests
from torch.cuda import device_count
import gpustat

print("""
If pytorch raises "RuntimeError: cuda runtime error (30)" after suspension,
run the following commands in linux terminal:

sudo rmmod nvidia_uvm
sudo rmmod nvidia

## logistic_map.py
# Library import for plotting
import matplotlib.pyplot as plt
%matplotlib inline

# Define Logistic Map
def f(x, r):
    return r * x * (1 - x)

# Define history and parameters
history = [0.5]

## Python_FITS_Handler.py
import numpy as np

from pathlib import Path

# AstroPy
from astropy import units as u
from astropy.io import fits
from astropy.wcs import WCS
from astropy.coordinates import SkyCoord, Angle
from astropy.nddata import Cutout2D

## histogramTransform.py
import numpy as np
from matplotlib import pyplot as plt
import torch


class HistogramTransform(object):
    """
    Transforms the distribution of the input tensor to match that
    of the list of template histograms corresponding to each channel.