jayendra13

Copyright 2002 jayendra0parmar@gmail.com

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR TH

jayendra13

# https://www.tifr.res.in/~vahia/tithi-calculations.pdf
import datetime
from astropy.coordinates import get_body
from astropy.time import Time
from astropy.coordinates import EarthLocation

NUM_TITHIS = 15

def get_tithi(timestamp, location):
  sun = get_body('sun', timestamp, location)

jayendra13

import ast
import astor


class MyListComp(ast.ListComp):
  def __init__(self, target, value):
    self._target = target
    self._value = value

class MySourceGenerator(astor.SourceGenerator):

jayendra13

import tensorflow as tf

def approach_1():
  def gen():
    l = ["foo", "bar", "baz"]
    
    l1 = [f"{x}_py" for x in l]
    l2 = [f"{x}_java" for x in l]
    
    d1 = tf.data.Dataset.from_tensor_slices(l1)

jayendra13

import gin
import jax
import jax.numpy as jnp
import haiku as hk


@gin.configurable
class Model(hk.Module):
  def __init__(self, num_classes, name=None):
    super().__init__(name=name)

jayendra13

import mmap
from cffi import FFI

"""
add.c
double add(double a, double b) {
  return a+b
}
~$ gcc -O3 -c add.c
~$ objdump -d add.o

jayendra13

import math
import numpy as np

def original_mirror(x, direction=0, reverse=False):
  """Mirrors left to right or top to bottom as per the direction."""
  x_ = np.copy(x)
  height, width = x.shape
  if direction == 0:
    half_break = math.ceil(height/2)
    shift = height % 2

jayendra13

import t5
import tensorflow.compat.v1 as tf

tpu = tf.distribute.cluster_resolver.TPUClusterResolver("node-1")
tpu_address = tpu.get_master()
tf.disable_v2_behavior()


def data_gen(split, shuffle_files=False):
  ds = tf.data.Dataset.from_tensor_slices(["foobar"]).repeat(100)

jayendra13

# Replace String to int at line 33
:33 s/String/int/

# Replace String to int from line 33 to 40
:33,40 s/String/int/

jayendra13

# To query which package contains my file if installed
dpkg-query -S ASTConsumer.h
libclang-6.0-dev: /usr/lib/llvm-6.0/include/clang/AST/ASTConsumer.h

# if not installed search here
https://packages.ubuntu.com/

# More general case
# https://www.ostechnix.com/find-package-provides-specific-file-linux/
# Arch Linux, Antergos, Manjaro Linux