rambattu

Software versions:

Protobuf - 3.6.1
Protobuf-c - 1.3.1

Commands ran:

$protoc --c_out=. enum_int_test.proto . 

$ gcc enum_int_test.c  
In file included from enum_int_test.pb-c.h:7:0,

Slight modification of the gist here https://gist.github.com/katta/1028871, that script works with the diff that got generated from git using --no-prefix, this script git-diff-to-svn-patch.sh can be used to work on diff that is generated without "--no-prefix" option as well

In this post we will see how to use Python for data analysis using a dataset of Wildlife Trade hosted by CITES.

The full dataset that contains data for all the trades recorded is available here https://trade.cites.org/en/cites_trade/# , but that is 237 MB in size. To get an idea of how to approach data and how to process it to get useful information out of it we can work with smaller dataset first.

In the web page referenced above, I selected the:

Year Range: 2015 to 2019
Search by Taxon: Elephantidae (Elephants)

After selecting those parameters, I clicked on Search which took me to a new page where the Report is ready.

	package main

	import (
	"encoding/json"
	"fmt"
	"log"
	)

	type DataMap struct {
	Data string `json:"data"`

	sbattu-mbp:antidote-selfmedicate sbattu$ kubectl logs syringe-6ffd7b7ccc-x4ts9

	time="2019-06-13T17:21:12Z" level=info msg="syringed (dev-c3ff62da1f1fbd2af84a2b65cd7e87ef6cf53307) starting."
	time="2019-06-13T17:21:12Z" level=debug msg="Syringe config: {\"CurriculumDir\":\"/antidote\",\"Tier\":\"local\",\"Domain\":\"antidote-local\",\"GRPCPort\":50099,\"HTTPPort\":8086,\"DeviceGCAge\":0,\"NonDeviceGCAge\":0,\"HealthCheckInterval\":0,\"TSDBExportInterval\":0,\"TSDBEnabled\":false,\"LiveLessonTTL\":30,\"CurriculumLocal\":false,\"CurriculumRepoRemote\":\"https://github.com/nre-learning/nrelabs-curriculum.git\",\"CurriculumRepoBranch\":\"master\"}"
	time="2019-06-13T17:21:12Z" level=debug msg="Searching /antidote/collections for collection definitions"
	time="2019-06-13T17:21:12Z" level=debug msg="Found collection definition at: /antidote/collections/cumulus/collection.meta.yaml"
	time="2019-06-13T17:21:12Z" level=debug msg="Found collection definition at: /antidote/collections/gdt/collection.meta.yaml"
	time="2019-06

	sbattu-mbp:antidote-selfmedicate sbattu$ cat describe_pods.txt
	Name: antidote-web-57f98b78d4-f5vg9
	Namespace: default
	Priority: 0
	PriorityClassName: <none>
	Node: minikube/10.0.2.15
	Start Time: Sat, 18 May 2019 18:07:19 -0700
	Labels: antidote_role=infra
	app=antidote-web
	pod-template-hash=57f98b78d4

	sbattu-mbp:antidote-selfmedicate sbattu$ kubectl describe pods --namespace 25-66n1ihh28m8yslto-ns
	Name: linux
	Namespace: 25-66n1ihh28m8yslto-ns
	Priority: 0
	PriorityClassName: <none>
	Node: minikube/10.0.2.15
	Start Time: Wed, 19 Jun 2019 22:39:55 -0700
	Labels: endpointType=UTILITY
	lessonId=25
	podName=linux

	values = [1,1,2,2,5,3,3,4,4]
	op = [-1,0,1]
	values.sort(function(a,b){ return op[Math.floor(Math.random()*op.length)] })