Maik Riechert letmaik

## models_committed.py
from sqlalchemy import create_engine, event, orm
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm.session import Session as SessionBase, object_session
from sqlalchemy.event.api import listen

# The following adds delete, insert, and update events after successful commits.
# SQLAlchemy provides only events after flushes, but not after commits.
# The classes are adapted from Flask-SQLAlchemy.
# see also https://stackoverflow.com/a/12026787/60982

## voronoi_polygons.py
from __future__ import division
import collections
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from scipy.spatial import Delaunay, KDTree

# an adaptation of https://stackoverflow.com/a/15783581/60982
# using ideas from https://stackoverflow.com/a/9471601/60982

## index.html
<!DOCTYPE html>
<html>
<head>
    <title>GridLayer Test</title>
    <meta charset="utf-8" />
    <link rel="stylesheet" href="https://unpkg.com/leaflet@1.0.1/dist/leaflet.css" />
    <style>
        body {
            padding: 0;
            margin: 0;

## .travis.yml
language: java

env:
  global:
    - SONATYPE_USERNAME=yourusername
    - secure: "your encrypted SONATYPE_PASSWORD=pass"

after_success:
  - python addServer.py
  - mvn clean deploy --settings ~/.m2/mySettings.xml

## sample_nb.py
# Jupyter Notebook content

import numpy as np
import matplotlib.pyplot as plt

import util

t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2 * np.pi * t)

## masked_adaptive_threshold.py
from __future__ import division
import numpy as np

from scipy.ndimage.filters import correlate1d

def masked_adaptive_threshold(image,mask,max_value,size,C):
    '''
    image must already be masked (unmasked areas=0)
    mask is a boolean array
    see http://stackoverflow.com/a/10015315/60982

## README.md

      
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                letmaik
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              Last active
              November 23, 2020 04:37
            
              
                Using travis_retry inside shell scripts together with set -e
              
          
    If you want to use travis_retry from within your own shell script files then you first have to make the travis_retry shell function available by sourcing the travis_retry.sh file, otherwise you just get a "command not found" error. See example.sh for a full example.
Note that the original function as found in the travis-ci/travis-build repository was slightly modified to allow it to be used in a shell context where set -e is enabled.
For reference, a tweet by Travis CI saying that you should copy the travis_retry code as I've done here:
https://twitter.com/plexus/status/499194992632811520

  
## histogram.py
'''
This module contains a fast replacement for numpy's histogramdd and histogram2d.
Two changes were made. The first was replacing

np.digitize(a, b)

with

np.searchsorted(b, a, "right")

## CartesianProduct.ps1
function CartesianProduct {
    param
    (
        [Parameter(Mandatory = $true, ValueFromPipeline = $true)]
        [Hashtable]
        $values = @{ Foo = 1..5; Bar = 1..10}
    )
    $keys = @($values.GetEnumerator() | ForEach-Object { $_.Name })
    $result = @($values[$keys[0]] | ForEach-Object { @{ $keys[0] = $_ } })
    if ($keys.Length -gt 1) {

## symlinks.psm1
function symlink ([String] $real, [String] $link) {
    if (Test-Path $real -pathType container) {
        cmd /c mklink /j $link.Replace("/", "\") $real.Replace("/", "\")
    } else {
        cmd /c mklink /h $link.Replace("/", "\") $real.Replace("/", "\")
    }
}
	from sqlalchemy import create_engine, event, orm
	from sqlalchemy.orm import sessionmaker
	from sqlalchemy.orm.session import Session as SessionBase, object_session
	from sqlalchemy.event.api import listen

	# The following adds delete, insert, and update events after successful commits.
	# SQLAlchemy provides only events after flushes, but not after commits.
	# The classes are adapted from Flask-SQLAlchemy.
	# see also https://stackoverflow.com/a/12026787/60982
	from __future__ import division
	import collections
	import numpy as np
	import matplotlib
	import matplotlib.pyplot as plt
	from scipy.spatial import Delaunay, KDTree

	# an adaptation of https://stackoverflow.com/a/15783581/60982
	# using ideas from https://stackoverflow.com/a/9471601/60982
	<!DOCTYPE html>
	<html>
	<head>
	<title>GridLayer Test</title>
	<meta charset="utf-8" />
	<link rel="stylesheet" href="https://unpkg.com/leaflet@1.0.1/dist/leaflet.css" />
	<style>
	body {
	padding: 0;
	margin: 0;
	language: java

	env:
	global:
	- SONATYPE_USERNAME=yourusername
	- secure: "your encrypted SONATYPE_PASSWORD=pass"

	after_success:
	- python addServer.py
	- mvn clean deploy --settings ~/.m2/mySettings.xml
	# Jupyter Notebook content

	import numpy as np
	import matplotlib.pyplot as plt

	import util

	t = np.arange(0.0, 2.0, 0.01)
	s = 1 + np.sin(2 * np.pi * t)
	from __future__ import division
	import numpy as np

	from scipy.ndimage.filters import correlate1d

	def masked_adaptive_threshold(image,mask,max_value,size,C):
	'''
	image must already be masked (unmasked areas=0)
	mask is a boolean array
	see http://stackoverflow.com/a/10015315/60982
	'''
	This module contains a fast replacement for numpy's histogramdd and histogram2d.
	Two changes were made. The first was replacing

	np.digitize(a, b)

	with

	np.searchsorted(b, a, "right")
	function CartesianProduct {
	param
	(
	[Parameter(Mandatory = $true, ValueFromPipeline = $true)]
	[Hashtable]
	$values = @{ Foo = 1..5; Bar = 1..10}
	)
	$keys = @($values.GetEnumerator() \| ForEach-Object { $_.Name })
	$result = @($values[$keys[0]] \| ForEach-Object { @{ $keys[0] = $_ } })
	if ($keys.Length -gt 1) {
	function symlink ([String] $real, [String] $link) {
	if (Test-Path $real -pathType container) {
	cmd /c mklink /j $link.Replace("/", "\") $real.Replace("/", "\")
	} else {
	cmd /c mklink /h $link.Replace("/", "\") $real.Replace("/", "\")
	}
	}