above, below - Githubissues

find all occurrences of above and below that pint to images or code and replace with either nothing if logical or previous and next.

grep -R -n above chapters | fgrep .md

[x] chapters/devops/ansible.md:198:as above.
[x] chapters/iaas/aws/aws.md:285:As we discussed above we can access all the service and product
[x] chapters/iaas/watson/watson.md:26:In the case above when I was trying the Watson Assistant It was not personal when I asked the Assistant's name so it can be modified to digress!
[x] chapters/iaas/libcloud.md:180:created as instructed above to perform various services such as
[x] chapters/msg/avro.md:110:* This above instruction is for Python2. If one is using Python3,
[x] chapters/msg/graphql.md:1479:> Develop a cloudmesh framework that uses all clouds above while
[x] chapters/prg/python/facedetection/facedetection.md:228:may encounter 'FAILURE' in the ping test above.
[x] chapters/prg/python/facedetection/facedetection.md:510:The 'apply_batch' function that we created above is given to map
[x] chapters/prg/python/fingerprint/fingerprint.md:221:it to use the values from above.
[x] chapters/prg/python/python-big-data.md:24:Depending on your directory organization, the above might be slightly
[x] chapters/prg/python/python-big-data.md:27:If you go to the link to data.gov for Bloomington above, you will see
[x] chapters/prg/python/python-big-data.md:127:functions in the datetime module linked above.
[x] chapters/in/pyenv-anaconda.md:55:- Replicate the steps above, so you can type in ENV2 and ENV3 in your
[x] chapters/faas/openwhisk.md:33:The wsk command is what is known as OpenWhisk CLI, which we will show how to install in the next sections. Note that OpenWhisk's API is RESTful and fully HTTP based. In other words, the above-mentioned wsk action command is basically a HTTP request equivalent to the following:
[x] chapters/faas/openwhisk.md:49:After authentication and authorization using the subjects database, the record for the action HelloAction is load from whisks database. This record contains the code, the parameters consist of default parameters merged with user parameters, as well as the resource limits, e.g. maximum memory. The HelloAction record in whisk contains its code (listed above) and no parameters as the code does not get any parameters.
[x] chapters/faas/openwhisk.md:70:The Action example is a node.js action and therefore the invoker will start a node.js container, inject our above-mentioned code to it, runs the code and gets the results, save the logs and terminates the node.js container.
[x] chapters/faas/openwhisk.md:122:In case you have services running on any of the ports above, you can either stop the local services that are using these ports or alternatively you can modify the docker-compose.yml and change the source port number in the port number mapping. The latter option is, however, more tricky because you have to make sure the change does not affect the communication between the containers. For instance if you have Apache service running on Port 80, then open docker-compose.yml, search for the keyword 80: to find the port mapping with source port of 80:
[x] chapters/faas/openwhisk.md:177:OpenWhisk provides a command line tool called openwhisk-cli which is used for controlling the platform. As part of the make quick-start command that we used above for starting the platform, the account credentials will automatically be written into the configuration of the CLI. You can either install the CLI directly from the repository or install it using linuxbrew. Alternatively, use the binary available in this path in OpenWhisk Devtools folder:
[x] chapters/faas/openwhisk.md:284:The result of the command above is showing that the hello action has been invoked twice and the greeter action was invoked once. You can get more information about each of the activation using the wsk -i activation get [ACTIVATION_ID]:
[x] chapters/iot/tools.md:105:above them.
[x] chapters/faq-516.md:71:above, as the images can float and below and above makes ABSOLUTELY NO
[x] chapters/container/docker-hadoop.md:293:to the sample result above) because the input file size was small (1,000
[x] chapters/container/docker-swarm.md:116:the swarm. The command that is printed in the output shown above can be used
[x] chapters/container/dockerhub.md:70:should be able to execute the above command without using sudo.
[x] chapters/pi/case.md:84:From the above Web page we find the following information as shown in
[x] chapters/pi/setup-multiple.md:199:The above executable will be used by cm-burn script.
[x] chapters/pi/setup-multiple.md:219:* The instructions above needed for the Ext2fsd to reserve the Drive Letters and any raspbian image burned to SD will be auto mounted to the specific reserved drive letters. These drive letters need to be specified while using cm-burn
[x] chapters/pi/clusters/pi-spark-orig.md:150:Repeat above steps on all worker/slave nodes
[x] chapters/pi/clusters/pi-spark-orig.md:154:Alternative to running above steps for each worker node, you can run
[x] chapters/pi/clusters/pi-docker.md:63:After executing the above command, we log out of the terminal restart
[x] chapters/pi/clusters/pi-spark.md:142:Note: The above mentioned slaves are of the same names of the
[x] chapters/pi/setup-ultimate.md:607:using Homebrew on macOS as brew install nmap. Usage is as above.
[x] chapters/pi/setup-ultimate.md:775: between the first and second with the output from the above command
[x] chapters/pi/kubernetes/417/bin/README.md:37:The above shell scripts are common in both worker and head.
[x] chapters/virtualmachines/qemu-kvm.md:231:read-only connection, append the above command with -readonly.
[x] chapters/ai/ai.md:48:sign based on being above or below the median. In k-NN predictions are
[x] chapters/linux/ssh.md:545:After above steps you should be able to connect to the server
[x] chapters/cloud/chameleon/faq-orig.md:518:results of the above (and any evidence of nanites you find as well).
[x] chapters/cloud/chameleon/faq-orig.md:610:Once the program is opened, click the Generate button, seen above in
[x] chapters/cloud/chameleon/faq-orig.md:632:now follow the steps described above (starting with the line "Provide
[x] chapters/cloud/chameleon/faq.md:173:results of the above (and any evidence of nanites you find as well).
[x] chapters/cloud/chameleon/user-guide.md:121:The instance list page shown above has an option 'Create Snapshot' that
[x] chapters/cloud/chameleon/user-guide.md:172:the "OpenStack REST Interfaces" section above, then use the following
[x] chapters/cloud/chameleon/heat.md:45:with them. The templates described above are YAML files using the [Heat
[x] chapters/cloud/chameleon/heat.md:150:floating IP attached to it (as per the visualization above) but you can
[x] chapters/cloud/chameleon/heat.md:157:"Resources" tab you will see the resources described above (the server,
[x] chapters/cloud/chameleon/baremetal.md:55:features of Chameleon not covered by the guides above:
[x] chapters/cloud/virsh.md:11:read-only connection, append the above command with -readonly.
[x] chapters/cloud/assignment/index.md:101:structure are different from instructed above.
[x] chapters/doc/acknowledgement.md:30:things in your paper, made suggestions. So instead of the above maybe
[x] chapters/doc/report-book-2.md:426:- Table captions must be above the image.
[x] chapters/doc/piazza.md:108:2. Proceed as in #1 above. This will create your new Piazza account
[x] chapters/doc/piazza.md:121: address, follow the instructions in #3 above.
[x] chapters/doc/piazza.md:216:The above question will simply be commented on (if at all):
[x] chapters/doc/piazza.md:361: discussion Any content that deserves its separate discussion and is not covered in the above folder.
[x] chapters/doc/writing-markdown.md:321:1. Table captions must be above the image.
[x] chapters/doc/writing-markdown.md:370:things in your paper, made suggestions. So instead of the above maybe
[x] chapters/case/case.md:167: head. Move the laser head above the cutting material, then will
[x] chapters/icloud/course/nosql-new.md:136:MongoDB belongs to the document model described above. Within a typical
[x] chapters/icloud/assignment/exercise7/exercise7.md:44:the Compute PR step in the above diagram. The code for this can be
[x] chapters/mapreduce/hadoop-rdma.md:89:The PCI device ID of the Virtual Function is 03:00:1 in the above
[x] chapters/mapreduce/hadoop-rdma.md:98:Please note that and are the ones you get from the outputs of above
[x] chapters/mapreduce/amazon-emr-2.md:58:Once all the prerequisites above have been met, an EMR cluster can now
[x] chapters/mapreduce/amazon-emr-2.md:91:page and select the key pair generated in the steps above in the
[x] chapters/mapreduce/amazon-emr-2.md:150:above and from that menu select 'Delete'. Once all of the folders and
[x] chapters/bigdata/applications/sport.md:46:Wins above Replacement WAR, Discussion of Calculation, Examples,
[x] chapters/bigdata/applications/sport.md:149:- http://en.wikipedia.org/wiki/Wins_Above_Replacement [@www-wiki-wins-above-replacement]
[x] chapters/bigdata/applications/statistics.md:78:> Pick a term from above and define it while not plagiarizing. Create a pull request.
[x] chapters/bigdata/applications/statistics.md:84:> Pick a term above and develop a python program demonstrating it and create a pull
[x] chapters/bigdata/applications/cloud.md:170:Before too much excitement sets in, note that spinach is above clouds
[x] chapters/deprecated/assignments.md:28:- Conduct the entry survey after you have done the above assignments:
[x] chapters/deprecated/assignments.md:46:Complete the above within the first week!

BELOW grep: chapters/doc/.#report.md: No such file or directory

[x] chapters/devops/puppet.md:86: encryption (Refer to Puppet Master Slave Connection figure below)
[x] chapters/iaas/azure/azure.md:162:You will see an image such as below: +@fig:registration.
[x] chapters/iaas/aws/link-1.md:2472:* Amazon DynamoDBManaged NoSQL Database
[x] chapters/iaas/aws/link-1.md:2489:Place](/migration-hub/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link-1.md:2493:Transport](/snowball/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link-1.md:2523:Delivery](/codepipeline/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link-1.md:2584:Data](/macie/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link-1.md:2699:Service](/workspaces/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link-1.md:2701:Browser](/appstream2/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link.md:1301:* Amazon DynamoDBManaged NoSQL Database
[x] chapters/iaas/aws/link.md:1318:Place](/migration-hub/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link.md:1322:Transport](/snowball/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link.md:1352:Delivery](/codepipeline/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link.md:1413:Data](/macie/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link.md:1528:Service](/workspaces/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/link.md:1530:Browser](/appstream2/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/links.md:2478:* Amazon DynamoDBManaged NoSQL Database
[x] chapters/iaas/aws/links.md:2495:Place](/migration-hub/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/links.md:2499:Transport](/snowball/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/links.md:2529:Delivery](/codepipeline/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/links.md:2590:Data](/macie/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/links.md:2705:Service](/workspaces/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/links.md:2707:Browser](/appstream2/?hp=tile&so-exp=below)
[x] chapters/iaas/aws/aws.md:14:in Figure below: +@fig:aws-products.
[x] chapters/iaas/aws/aws.md:98:applications and solutions. The list below showcases AWS storage
[x] chapters/iaas/aws/aws.md:117:databases and NoSQL based databases. The list below shows the database
[x] chapters/iaas/aws/aws.md:152:including your email address as shown in the image below: +@fig:aws-signup.
[x] chapters/iaas/aws/aws.md:158:provided. AWS will ask for credit/debit card details as shown below: +@fig:payment-information.
[x] chapters/iaas/aws/aws.md:173:below: +@fig:aws-console.
[x] chapters/iaas/aws/aws.md:252:tier agreement and you will be charged for them, see picture below: +@fig:free-tier. To view all the AWS
[x] chapters/iaas/aws/aws.md:299:page shown below: +@fig:launch-instance. Notice that the check box for "Free tier only" is
[x] chapters/iaas/aws/aws.md:313:eligible as shown in the image below: +@fig:instance-type. Now that you have selected all
[x] chapters/iaas/aws/aws.md:341:shown in the image below: +@fig:running-instance1. If you do not see is initially, refresh the
[x] chapters/iaas/aws/aws.md:374:all the AWS services through simple commands. below are two example
[x] chapters/iaas/watson/watson.md:56:address as shown in the image below
[x] chapters/iaas/watson/watson.md:65:shown in the image below.
[x] chapters/iaas/libcloud.md:302:cloud providers. In the sections below more detailed steps are shown
[x] chapters/iaas/boto.md:62:BOTO can be configured in two ways, either by using the aws configure command if you have AWS Command line interface installed or simply by manually creating and editing the ~/.aws/credentials file to include below parameters.
[x] chapters/prg/python/facedetection/facedetection.md:83:exist in sub directories (see below) to add modularity to your Ansible
[x] chapters/prg/python/facedetection/facedetection.md:322:For more information, see the useful links below.
[x] chapters/prg/python/python.md:1110:to list as shown below:
[x] chapters/prg/python/fingerprint/fingerprint.md:421:Both approaches are implemented below. The implementations follow the
[x] chapters/prg/python/fingerprint/fingerprint.md:480:The mk_short_labels helper function will be defined below.
[x] chapters/prg/python/python-matplotlib.md:14:libraries shown below.
[x] chapters/prg/python/python-matplotlib.md:76:following three commands below:
[x] chapters/prg/python/python-matplotlib.md:87:is defined in the initial plt.plot(x,y) instance, below is an example.
[x] chapters/prg/python/python-matplotlib.md:124:An example of a bar chart is preceded below using data from
[x] chapters/prg/python/python-matplotlib.md:154:An example of using a predefined style is shown below.
[x] chapters/prg/python/python-editor.md:36:Once umake command is run, use below command to install Pycharm community edition:
[x] chapters/prg/python/python-big-data.md:217:please take a look at the tutorials below. The numpy and pandas
[x] chapters/prg/python/random-forest/random-forest.md:374:the white wine quality data citric acid samples is shown below. You
[x] chapters/prg/python/random-forest/random-forest.md:376:replace the DataFrame and column name below.
[x] chapters/in/assignments.md:196:find the README.yml file in the link below and copy it into your github
[x] chapters/in/assignments.md:442:README available below.
[x] chapters/in/assignments.md:520:find the README.yml file in the link below and copy it into your github
[x] chapters/in/assignments.md:880:images where all the images are stored like the structure below.
[x] chapters/faas/introduction.md:23:listed below.
[x] chapters/faas/aws-lambda.md:68:several major limits below. For a complete list of limits in AWS
[x] chapters/iot/sensors.md:126:If using the LED's you will want the additional components listed below:
[x] chapters/faq-516.md:70:notation.md file of the lecture notes Do not use the words below and
[x] chapters/faq-516.md:71:above, as the images can float and below and above makes ABSOLUTELY NO
[x] chapters/container/docker-hadoop.md:310:of input files to process is 10, see the line two below:
[x] chapters/container/kubernetes-fs.md:41:commands on the remote echo kubernetes machine (all commands below
[x] chapters/container/docker-swarm.md:38: the swarm as workers. Choose a tab below to see how this plays out
[x] chapters/container/docker-swarm.md:182:below the create and save the file. First log into the master
[x] chapters/container/docker-local.md:79: This should give you an output similar to below.
[x] chapters/pi/car/car-face.md:295:Once the libraries are installed, follow below steps to check if camera
[x] chapters/pi/car/car-face.md:480:Camera settings need to be updated in the code as per below suggestions.
[x] chapters/pi/clusters/pi-cassandra-apache2.md:76:Before we run the shell script we will need to update some of the files contained in the git-repo that you have cloned in the previous step. The first file is the cassandra_custom.yaml file. The sections listed below need to be updated with the ip addresses that you noted when setting up the Pi's. The other settings can remain as is. More information about configuration options can be found on the apache cassandra site.
[x] chapters/pi/clusters/pi-now.md:108:beginning the manual steps below we assume you are able to burn an image to an
[x] chapters/pi/setup-ultimate.md:377:raspi-config utility can also setup a WiFi connection. The steps below
[x] chapters/ai/ai.md:48:sign based on being above or below the median. In k-NN predictions are
[x] chapters/ai/ai.md:84:the Tesla is given below:
[x] chapters/ai/ai.md:199:will import the necessary libraries shown below.
[x] chapters/ai/ai.md:283:browser, preferably google, and following the url below the code.
[x] chapters/ai/ai.md:335:discussion below about dynamic APIs in order to make these parameters
[x] chapters/ai/ai.md:369:A continuous version of main.py is provided below for ease of use.
[x] chapters/cloud/chameleon/faq-orig.md:132:below). Each Chameleon project is awarded an allocation of service units
[x] chapters/cloud/chameleon/faq-orig.md:597:The full process can be viewed in the figure below:
[x] chapters/cloud/chameleon/faq-orig.md:606:below.
[x] chapters/cloud/chameleon/faq-orig.md:616:just to avoid complexity. An example is shown below. Note that the
[x] chapters/cloud/chameleon/user-guide.md:29:below. This page provides a summary of your current and recent usage and
[x] chapters/cloud/chameleon/user-guide.md:32:below. One thing to note is that on the left, your current project is
[x] chapters/cloud/chameleon/user-guide.md:36:shot below, the quota and usage apply to the current project you have
[x] chapters/cloud/chameleon/user-guide.md:46:Overview page. An example Instances page is shown below. For instances
[x] chapters/cloud/chameleon/heat.md:99:like below: +@fig:select-template.
[x] chapters/cloud/chameleon/heat.md:126:client instances. As below: +@fig:create-in-progress.
[x] chapters/cloud/chameleon/heat.md:135:visualization of the deployed resources, as pictured below: +@fig:stack-visualization. The single
[x] chapters/cloud/chameleon/heat.md:174:This template is reproduced further below, and includes inline comments
[x] chapters/cloud/chameleon/heat.md:337:below. It is similar to the NFS share appliance, except that it deploys
[x] chapters/cloud/chameleon/heat.md:453:customized template. The resulting topology view is shown below: +@fig:nfs-with-two-clients, as you
[x] chapters/cloud/chameleon/heat.md:531:The image below: +@fig:outputs, shows the resulting outputs as viewed from the web
[x] chapters/cloud/chameleon/heat.md:743:The template below illustrates how it works. It launches a group of
[x] chapters/cloud/chameleon/start.md:78:users guides below:
[x] chapters/cloud/chameleon/horizon.md:66:screen like the one below:
[x] chapters/class/assignments.md:660: below however you are free to use data from elsewhere, like scikit
[x] chapters/class/assignments-a.md:508: below however you are free to use data from elsewhere, like scikit
[x] chapters/class/e222-syllabus-old.md:280:The link to the assignment in piazza is below, directions for each student will come out the week of
[x] chapters/doc/report.md:151:13. Have you not used phrases such as shown in the Figure below, but
[x] chapters/doc/report-2.md:190:13. Have you not used phrases such as shown in the Figure below, but
[x] chapters/doc/report-book-2.md:312:- Do not use phrases such as shown in the Figure below. Instead, use
[x] chapters/doc/report-book-2.md:401:- Do not artificially inflate your paper if you are below the page
[x] chapters/doc/writing-markdown.md:306:1. Do not artificially inflate your paper if you are below the page
[x] chapters/doc/projects-2.md:252: below however you are free to use data from elsewhere, like scikit
[x] chapters/arch.md:292:The group of industry experts based use the following guiding principles to when publishing their reference Architecture (below).
[x] chapters/icloud/project2.md:139:PageRankReduce.java. Code snapshots are shown below.
[x] chapters/icloud/project2.md:154:below. Standard error messages such as compile errors, execution
[x] chapters/icloud/assignment/exercise2/exercise2.md:176:PageRankReduce.java. Code snapshots are shown below.
[x] chapters/icloud/assignment/exercise2/exercise2.md:207:Use the one-click script compileAndExecHadoopPageRank.sh provided below.
[x] chapters/icloud/assignment/exercise3/exercise3.md:127:below.
[x] chapters/icloud/assignment/deprecated/exercise-old7/exercise7.md:89:The two functions are listed below.
[x] chapters/data/mongodb.md:73:To update the Ubuntu packages to the most recent versions, use below command:
[x] chapters/mapreduce/hadoop-rdma.md:82:format - XX:XX.X) of one of the virtual functions as shown below:
[x] chapters/mapreduce/hadoop-rdma.md:136:running the kill-vms.sh script as shown below. This script will kill all
[x] chapters/mapreduce/hadoop-comet.md:31:detail below, with user-modified content displayed in bold. Do not alter
[x] chapters/mapreduce/aws-emr.md:64:The EMR cluster will run on a subnet so you need to determine the appropriate subnet for you availability zone. You will need to enter your default zone in the code below.
[x] chapters/mapreduce/amazon-emr-1.md:79:Login to AWS console, go to services and then select EMR. Click on Create Cluster. In the cluster configuration provide below details to complete to complete step execution creation.
[x] chapters/mapreduce/amazon-emr-1.md:101:Login to AWS console, go to services and then select EMR. Click on Create Cluster. In the cluster configuration provide below details to complete.
[x] chapters/mapreduce/amazon-emr-1.md:114:Login to AWS console, go to services and then select EMR. Click on Create Cluster. In the cluster configuration provide below details to complete.
[x] chapters/mapreduce/amazon-emr-2.md:52:connect to the EC2 instances created by EMR [@hid-sp18-521-ec2keypair]. As the picture below: +@fig:key.
[x] chapters/mapreduce/amazon-emr-2.md:92:drop-down menu, as below: +@fig:security. Below that you can then select which permissions model
[x] chapters/mapreduce/mapreduce.md:119:below and both input and output here is a key/value pairs:
[x] chapters/mapreduce/hadoop-installation.md:162:as below.
[x] chapters/rest/rest.md:465:Your payload should look like the one below, if your output is not
[x] chapters/rest/rest.md:466:formatted like below try adding ?pretty=1
[x] chapters/bigdata/applications/sport.md:169: resources below do not exsit:
[x] chapters/bigdata/applications/sensor.md:109: resources below do not exsit:

cloudmesh-community / book

above, below #231

"above"

"below"