alexshires

#! /usr/bin/env python3
"""
utilty to reliably SCP using Python
"""

import os
import subprocess
import argparse
import glob
import logging

alexshires

#! /usr/bin/env python3
"""
Script to compare outputs of find-cpu-hogs.sh

Alex Shires
14-05-2020
"""
import logging
import os
import sys

alexshires

#! /usr/bin/env python3
"""
Script to parse the CPU hog
* Alex Shires - 28-4-2020
"""
import logging
import os
import sys

import pandas as pd

alexshires

# ---------------------
# Configuration
# ---------------------

# use UTF8 unicode
set -g utf8
set-window-option -g utf8 on
set -g status-utf8 on

alexshires

# Time Series Testing 
import keras.callbacks
from keras.models import Sequential  
from keras.layers.core import Dense, Activation, Dense, Dropout
from keras.layers.recurrent import LSTM

# Call back to capture losses 
class LossHistory(keras.callbacks.Callback):
    def on_train_begin(self, logs={}):
        self.losses = []

alexshires

python Downloads/tensorflow_error_tutorial.py
WARNING:tensorflow:Change warning: default value of `enable_centered_bias` will change after 2016-10-09. It will be disabled by default.Instructions for keeping existing behaviour:
Explicitly set `enable_centered_bias` to 'True' if you want to keep existing behaviour.
INFO:tensorflow:Using config: {'task': 0, 'save_summary_steps': 100, 'keep_checkpoint_max': 5, '_is_chief': True, 'save_checkpoints_secs': 1, 'evaluation_master': '', 'tf_config': gpu_options {
  per_process_gpu_memory_fraction: 1
}
, 'master': '', 'keep_checkpoint_every_n_hours': 10000, '_job_name': None, 'cluster_spec': None, 'tf_random_seed': None, 'num_ps_replicas': 0}
INFO:tensorflow:Setting feature info to TensorSignature(dtype=tf.float32, shape=TensorShape([Dimension(None), Dimension(4)]), is_sparse=False)
INFO:tensorflow:Setting targets info to TensorSignature(dtype=tf.int64, shape=TensorShape([Dimension(None)]), is_sparse=False)
INFO:tensorflow:Transforming feature_column _RealValuedColumn(c

alexshires

# coding: utf-8

# In[7]:

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf

alexshires

import os
import luigi

class FileExists(luigi.ExternalTask):
    filename = luigi.Parameter(default=None)
    def output(self):
        print "FE: output", self.filename
        return luigi.LocalTarget(self.filename)

def create_new_filename(filename, ext):

alexshires

""" TEST Luigi processes """

import os

def python_function(filename1):
    # from filename1 create filename2
    if "." not in filename1:
      print "can't split"
      return None

alexshires

class testClass:
    def foo(self, x):
        print "foo", x

def bar(self, y):
    print "bar", y