I love to build things! Currently my interests lie in data visualization and basic machine learning, but I love to tinker with anything I can get my hands on.
Life gets boring if everything is uniform and optimized for maximum efficiency. There's always room for the arts! Whether it's getting that pivot chart popping in excel or creating a custom 3D virtualization library in python, I strive to make whatever I do work well AND look great.


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Uses of Class
ch.rabanti.picoxlsx4j.style.Style
-
Packages that use Style Package Description ch.rabanti.picoxlsx4j ch.rabanti.picoxlsx4j.style -
-
Uses of Style in ch.rabanti.picoxlsx4j
Methods in ch.rabanti.picoxlsx4j that return Style Modifier and Type Method Description Style
Workbook. addStyle(Style style)
Adds a style to the style managerStyle
Workbook. addStyleComponent(Style baseStyle, AbstractStyle newComponent)
Adds a style component to a styleStyle
Cell. getCellStyle()
Gets the assigned style of the cellStyle
Cell. setStyle(Style style)
Sets the style of the cellMethods in ch.rabanti.picoxlsx4j with parameters of type Style Modifier and Type Method Description void
Worksheet. addCell(Object value, int columnAddress, int rowAddress, Style style)
Adds an object to the defined cell address.void
Worksheet. addCell(Object value, String address, Style style)
Adds an object to the defined cell address.void
Worksheet. addCellFormula(String formula, int columnAddress, int rowAddress, Style style)
Adds a cell formula as string to the defined cell addressvoid
Worksheet. addCellFormula(String formula, String address, Style style)
Adds a cell formula as string to the defined cell addressvoid
Worksheet. addCellRange(List<Object> values, Address startAddress, Address endAddress, Style style)
Adds a list of object values to a defined cell range.void
Worksheet. addCellRange(List<Object> values, String cellRange, Style style)
Adds a list of object values to a defined cell range.void
Worksheet. addNextCell(Object value, Style style)
Adds an object to the next cell position.void
Worksheet. addNextCellFormula(String formula, Style style)
Adds a formula as string to the next cell positionStyle
Workbook. addStyle(Style style)
Adds a style to the style managerStyle
Workbook. addStyleComponent(Style baseStyle, AbstractStyle newComponent)
Adds a style component to a stylevoid
Shortener. formula(String formula, Style style)
Sets a formula with style into the current cell and moves the cursor to the next cell (column or row depending on the defined cell direction)void
Workbook. removeStyle(Style style)
Removes the passed style from the style sheetvoid
Workbook. removeStyle(Style style, boolean onlyIfUnused)
Removes the defined style from the style manager of the workbookvoid
Worksheet. setActiveStyle(Style style)
Sets the active style of the worksheet.Style
Cell. setStyle(Style style)
Sets the style of the cellvoid
Shortener. value(Object value, Style style)
Sets a value with style into the current cell and moves the cursor to the next cell (column or row depending on the defined cell direction) -
Uses of Style in ch.rabanti.picoxlsx4j.style
Methods in ch.rabanti.picoxlsx4j.style that return Style Modifier and Type Method Description Style
StyleManager. addStyle(Style style)
Adds a style component to the managerStyle
Style. append(AbstractStyle styleToAppend)
Appends the specified style parts to the current one.static Style
BasicStyles. Bold()
Gets the bold stylestatic Style
BasicStyles. BoldItalic()
Gets the bold and italic stylestatic Style
BasicStyles. BorderFrame()
Gets the border frame stylestatic Style
BasicStyles. BorderFrameHeader()
Gets the border style for header cellsstatic Style
BasicStyles. colorizedBackground(String rgb)
Gets a style to colorize the background of a cellstatic Style
BasicStyles. colorizedText(String rgb)
Gets a style to colorize the text of a cellStyle
Style. copyStyle()
Copies the current object as casted stylestatic Style
BasicStyles. DateFormat()
Gets the date format stylestatic Style
BasicStyles. DottedFill_0_125()
Gets the special pattern fill style (for compatibility)static Style
BasicStyles. DoubleUnderline()
Gets the double underline stylestatic Style
BasicStyles. font(String fontName)
Gets a style with a user defined Font (Font size 11)
Note: The Font name as well as the availability of bold and italic on the Font cannot be validated by PicoXLSX4j.static Style
BasicStyles. font(String fontName, int fontSize)
Gets a style with a user defined Font
Note: The Font name as well as the availability of bold and italic on the Font cannot be validated by PicoXLSX4j.static Style
BasicStyles. font(String fontName, int fontSize, boolean isBold)
Gets a style with a user defined Font
Note: The Font name as well as the availability of bold and italic on the Font cannot be validated by PicoXLSX4j.static Style
BasicStyles. font(String fontName, int fontSize, boolean isBold, boolean isItalic)
Gets a style with a user defined Font
Note: The Font name as well as the availability of bold and italic on the Font cannot be validated by PicoXLSX4j.Style
StyleManager. getStyleByHash(int hash)
Gets a style by its hashStyle
StyleManager. getStyleByName(String name)
Gets a style by its nameStyle[]
StyleManager. getStyles()
Gets all styles of the style managerstatic Style
BasicStyles. Italic()
Gets the italic stylestatic Style
BasicStyles. MergeCellStyle()
Gets the style used when merging cellsstatic Style
BasicStyles. RoundFormat()
Gets the round format stylestatic Style
BasicStyles. Strike()
Gets the strike stylestatic Style
BasicStyles. TimeFormat()
Gets the time format stylestatic Style
BasicStyles. Underline()
Gets the underline styleMethods in ch.rabanti.picoxlsx4j.style with parameters of type Style Modifier and Type Method Description Style
StyleManager. addStyle(Style style)
Adds a style component to the manager
-


@* * Copyright 2020 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @(navTitle: String, navTitleLink: Option[play.api.mvc.Call] = None, showBetaLink: Boolean = false)(implicit lang: Lang, request: Request[_], messages: Messages, appConfig: ApplicationConfig)


--- title: Troubleshooting keywords: fastai sidebar: home_sidebar summary: "There are a number of quirks and gotchas to be aware of when working with nbdev from Colaboratory. " ---
Imports, nbdev commands, and command line code (pretty well everything except !pip install
) only work when the current working directory is within the project directory. This applies to both the command line notebook and project development notebooks so be sure to %cd into the project directory in both before you start working. Place a %cd path_to_project_directory
command in an early cell (after installs but before any imports) of all your notebooks so as not to forget!
System errors can reset notebooks and return the current working directory to home (i.e. '/content'). Thus, following a system error, particularly in the command line notebook, always check that you are still in the project directory before continuing (!pwd
).
Oh, and make sure to use %cd
not !cd
to change directory!
As per the nbdev tutorial, set up autoreload by running the following code near the top of your notebook:
%load_ext autoreload
%autoreload 2
New local imoprts require a library rebuild to be recognised by Colab: !nbdev_build_lib
.
If the import is still not working as expected , check the source notebook's corresponding .py file. Is the new code there? Did you #export
it from the source notebook?. If so, repeat the build then factory reset the importing notebook BEFORE rerunning the imports cell. T
Show_doc
doesn't give the expected notebook cell output.¶#show_doc(class.method)
used to automatically generate documentation for class methods doesn't give the expected text output in Colab notebook cells, instead just a method definition. However, it works as expected when the documentation is actually built with !nbdev_build_docs
so continue to use it as per the nbdev documentation.nbdev_build_docs
fails with an error message.¶!nbdev_build_docs
command (a factory reset may be required) and try again.nbdev_diff_nbs
generates an output.¶Code diffs between the notebooks and corresponding .py scripts should be resolved before pushing to GitHub. If nbdev_diff_nbs gives an output, therefore, you'll need to either run !notebook2script()
or !script2notebook()
as follows:
To keep the notebook code:
# from nbdev.export import notebook2script
# notebook2script()
To keep the script code:
# from nbdev.sync import script2notebook
# script2notebook()
nbdev_test_nbs
reports failed tests¶!nbdev_test_nbs
runs every notebook in the project top to toe reporting failed tests, any cell raising an exception or if notebook execution stalls.
In addition:
GPU code and instructions being tested in a Colab CPU instance, will cause a cuda runtime error (100)
when !nbdev_test_nbs
is run.
the code to mount Google Drive in an open unmounted notebook will cause notebook execution to stall (and therefore tests to fail) while awaiting user input. The same piece of code also causes a module not found
error when nbdev_test_nbs
is run as a GitHub Action during a GitHub push because the required Google library is not installed on GitHub. In this case, the code is still pushed, but a red cross appears on the repo homepage to indicate a problem.
To handle 1. and 2. above, instead of changing the code or test environment, which are otherwise fine, an easier solution is to exclude those cells from testing. Luckily nbdev has a way of doing this - test flags. Test flags and how to use them are covered on the Notebooks page under 'Tests' here and in the nbdev documentation.
GitHuB integration works almost exactly the same from Colab notebooks as from the command line. Just make sure 'git_hooks' are set up (i.e. !nbdev_install_git_hooks
has been run in the project directory) to strip notebooks of unwanted metadata (you only need do this once) and that the local repo is configured with your GitHub username and email using the following code (again from inside the project directory):
!git config user.email "email"
!git config user.name "username"
If you used clone_new_repo()
to set up your local repo then these two steps should have ben done automatically.
Nbdev uses Git Actions to run a short yaml script of command line instructions with each git push. These include checking the notebooks can be opend and read (!nbev_read_nbs
), checking for diffs (!nbdev_diff_nbs
) and running tests on all notebooks with !nbdev_test_nbs
). Problems arising don't necessarily cause the push to fail but will alert the problem by placing a 'red cross' rather than 'green tick' next to the latest commit label on the repo page. Click on the red cross to show the GitHub Actions panel and trace the problem. Then back to the project notebooks to debug.
Github pages only shows the index.ipynb page without any other notebook documentation. Make sure you have checked the 'master branch/docs folder' option of 'GitHub Pages' (in the repo settings). The 'docs' folder is ignored if the 'master branch' only option is selected
A notebook doesn't appear in the docs sidebar menu. The menu is built from the first #
markdown cell of each notebook, where the #
must be followed by a unique notebook name e.g # Core
. Include this before any other markdown cells and the notebook will appear in the menu under this name.
Otherwise, if the docs don't look as expected on GitHub Pages, revise the nbdev syntax for auto-generating documentation from notebook cells and review your code.


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{% extends "layout.html" %} {% block page_title %} Example - Branching - Under 18 {% endblock %} {% block content %} Analyst sandbox prototype Begin Data Step 3 of 6 About your data This page helps you define the sort of data science tools you need. Start by telling the app what kind of data you want to work with, and what sort of analysis you plan to do. What sort of data are you working with? What sort of data are you working with? Semi-structured Unstructured Other Please specify What sort of analysis do you want to try? What sort of analysis do you want to try? Data visualisation Topic modelling Other Please specify Choose your tools {% endblock %}
This page helps you define the sort of data science tools you need. Start by telling the app what kind of data you want to work with, and what sort of analysis you plan to do.
Choose your tools


{% extends "base.html" %} {% block title %} About the Knowledge Repo {% endblock %} {% block content %} {{ super() }}
The knowledge repository is a git repository, web app, and set of tools that enables the sharing of knowledge between data scientists and other technical roles. The idea is to act as a hub whereby people can submit their work, and go through a standard QA review process, using data formats that make sense in these professions. Currently, the knowledge repository supports the following formats:
Users add these notebooks to the knowledge repository through the
knowledge_repo
tool, as described below, which converts them
into a standard format; and allows them to be rendered and curated in the
web app.
To install the knowledge repository tooling, simply run:
pip install
<EMAIL_ADDRESS>If your organization already has a knowledge data repository setup, check it out onto your computer as you normally would; for example:
git clone git@example.com:example_data_repo.git
If not, or for fun, you can create a new knowledge repository using:
knowledge_repo --repo <repo_path> init
Running this same script if a repo already exists at
<repo_path>
will have no effect.
You can drop the --repo
option if you set the
$KNOWLEDGE_REPO
environment variable to the location of that
repository.
For more details about the structure of a knowledge repository, see the technical details section below.
The whole point of a knowledge repository is to host knowledge posts. You can add a knowledge post using:
knowledge_repo --repo <repo_path> add <supported
knowledge format> <location in knowledge repo>
For example, if my knowledge repository is in a folder named
test_repo
, and I have an IPython notebook at
Documents/notebook.ipynb
, and I want it to be added to the
knowledge repository under projects/test_knowledge
, I can
run:
knowledge_repo --repo test_repo add Documents/notebook.ipynb
projects/test_knowledge
If you look in test_repo
you will see a new folder
test_repo/projects/test_knowledge.kp
, and you are set to use
git commit
and git push
to submit it for review.
Note that the folder ends in ‘.kp’. This is added automatically
to indicate that this folder is a knowledge post. Explicitly adding the
‘.kp’ is optional. Also note that knowledge_repo
does not automatically create a branch for you; so if that is the way in
which your organisation works, be sure to manually create a branch before
pushing into the repo.
Currently ‘ipynb’, ‘Rmd’ and ‘md’ files are supported. See the “Contributing” section below to see how to add support for more formats.
To update an existing knowledge post, simply pass the
--update
option, which will allow the add operation to
override existing knowledge posts. e.g.
knowledge_repo --repo <repo_path> add --update <supported
knowledge format> <location in knowledge repo>
Running the web app allows you to locally view all the knowledge posts in the repository, or to serve it for others to view. It is also useful when developing on the web app.
Running the web app in development/local/private mode is as simple as running:
knowledge_repo --repo <repo_path> runserver
Supported options are --port
and --dburi
which
respectively change the local port on which the server is running, and the
sqlalchemy uri where the database can be found and/or initiated. The
default port is 7000, and the default dburi is
sqlite:////tmp/knowledge.db
. If the database does not exist,
it is created (if that is possible) and initialised. Database migrations
are not automatic (to prevent accidental data loss), but can be performed
using:
knowledge_repo --repo <repo_path> db_migrate --dburi
<db>
Deploying the web app is much like running the development server, except that the web app is deployed on top of gunicorn. It also allows for enabling server-side components such as sending emails to subscribed users.
Deploying is as simple as: knowledge_repo --repo <repo_path>
deploy
Supported options are --port
,
--dburi
,--workers
, --timeout
and
--config
. The --config
option allows you to
specify a python config file from which to load the extended configuration.
A template config file is provided in
resources/server_config.py
. The --port
and
--dburi
options are as before, with the --workers
and --timeout
options specifying the number of threads to use
when serving through gunicorn, and the timeout after which the threads are
presumed to have died, and will be restarted.
We would love to work with you to create the best knowledge repository software possible. If you have ideas or would like to have your own code included, add an issue or pull request and we will review it.
Support for conversion of a particular filetype to a knowledge post is
added by writing a new KnowledgePostConverter
object. Each
converter should live in its own file in
knowledge_repo/converters
. Refer to the implementation for
ipynb, Rmd, and md for more details. If your conversion is site-specific,
you can define these subclasses in .knowledge_repo_config
,
whereupon they will be picked up by the conversion code.
When a KnowledgePost is constructed by converting from support
filetypes, the resulting post is then passed through a series of
postprocessors (defined in knowledge_repo/postprocessors
).
This allows one to modify the knowledge post, upload images to remote
storage facilities (such as S3), and/or verify some additional structure of
the knowledge posts. As above, defining these classes in
.knowledge_repo_config
allows for postprocessors to be used
locally.
Is the Knowledge Repository missing something else that you would like to see? Let us know, and we’ll see if we cannot help you.
A knowledge repository is a git repository with the following structure:
<repo> + .git # The git repository metadata + .resources # A folder into which the knowledge_repo repository is checked out (as a git submodule) - .knowledge_repo_config # Local configuration for this knowledge repository - <knowledge posts>
The use of a git submodule to checkout the knowledge_repo into
.resources
allows use to ensure that the client and server are
using the same version of the code. When one uses the
knowledge_repo
script, it actually passes the options to the
version of the knowledge_repo
script in
.resources/scripts/knowledge_repo
. Thus, updating the version
of knowledge_repo used by client and server alike is as simple as changing
which revision is checked out by git submodule in the usual way. That
is:
pushd .resources git pull git checkout <revision>/<branch> popd git commit -a -m 'Updated version of the knowledge_repo' git push
Then, all users and servers associated with this repository will be updated to the new version. This prevents version mismatches between client and server, and all users of the repository.
In development, it is often useful to disable this chaining. To use the
local code instead of the code in the checked out knowledge repository,
pass the --dev
option as:
knowledge_repo --repo <repo_path> --dev <action>
...
A knowledge post is a directory, with the following structure:
<knowledge_post> - knowledge.md + images/* [Optional] + orig_src/* [Optional; stores the original converted file]
Images are automatically extracted from the local paths on your
computer, and placed into images. orig_src
contains the
file(s) from which the knowledge post was converted from.


Bases: AbstractDatasetController.AbstractDatasetController
Sub-process that monitors arrivals, runs checksums, generates receipt (checksum) files, delivers good files to data_stream dir (see next para), and tests for “thank you” files (acknowledgement of receipt files) in which case it deletes the receipt files and the “thank you” files themselves.
This is set up to look in an “incoming” directory, and when a data file has a good checksum then deliver it to the data_stream directory for the DatasetTransferController. This means that the DatasetTransferController will just look for files appearing in the data_stream directory and can assume their integrity - it knows nothing about the arrival monitor - only the top-level MiStaMoverController knows that it launched an arrival monitor.
Note also that it does not look at any data files until these are referred to by a control file. So partially arrived data files are not a problem. BUT it is the sender’s responsibility to send the control file AFTER the data file.
Check a file and return data to write to the receipt file
create a receipt file in the incoming directory rcpt_file_name is the basename for the file to create data_file_name is the basename for the data file rcpt_data is a list of [status, size, checksum] (or shorter list if any
of these are not supplied)
given basename return full path name in incoming
Test if file is a control file (returns boolean)
Returns list of files (basenames) in incoming dir. Defaults to excluding dotfiles, but called with include_dotfiles when we want to see the control files.
Ongoing monitoring of process unless told to stop.
Respond to a control file, generating receipt file with appropriate response, and delivering the data file to the data_stream directory if appropriate.
Argument is the basename of the control file.
Returns the data file name if it was all okay, otherwise None
deal with a thank you file: delete the receipt file and the thank you file itself
(input filename is the basename)
see also method with this name in base class (which is called)


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Current Version: {{ version }}
If you've lost your save, it is likely because of a drastic update which has made your save incompatible. I'm sorry for the inconvenience!
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The SSLTables algorithm uses a balanced tree algorithm.
A tree with n
nodes is said to be balanced if it has a height of at most log(n)
.
There are certain algorithms that gaurantee that the tree will be balanced no matter what order of inserts, updates, and deletes you use.
These use node rotations and are typically taught in an intro to data structures class:
SSLTables also needs segmentation.
Instead of using one log file, SSLTables has multiple log files ("segments").
Compaction compresses these many log segments into a single log segment.
The full SSLTables write algorithm:
The full SSLTables read algorithm:
O(log n)
time.
O(log n)
time.
Performance considerations:
O(1)
writes, SSLTables offers O(log n)
writes.
O(1)
reads, subject to the restriction that the hash map fits in memory. Otherwise read performance degrades to O(n)
.
O(log n)
writes with no restrictions on database size.
O(n)
range queries (e.g. "find all words between 'cat' and 'cop'"). SSLTables have O(log n)
range queries.


#include <Diff_Util.hpp>
Data Structures | |
| struct | eleminfo |
| struct | Point |
Public Types | |
| typedef std::vector< long long > | editPath |
| typedef std::vector< P > | editPathCordinates |
| typedef std::string | elem |
| typedef struct hydrogen_framework::Diff_Vars::eleminfo | elemInfo |
| typedef std::list< elem > | elemList |
| typedef elemList::iterator | elemList_iter |
| typedef std::vector< elem > | elemVec |
| typedef elemVec::iterator | elemVec_iter |
| typedef struct hydrogen_framework::Diff_Vars::Point | P |
| typedef std::vector< elem > | sequence |
| typedef sequence::const_iterator | sequence_const_iter |
| typedef sequence::iterator | sequence_iter |
| enum | SES_TYPE { SES_DELETE = -1, SES_COMMON = 0, SES_ADD = 1 } |
| typedef std::pair< elem, elemInfo > | sesElem |
| typedef std::vector< sesElem > | sesElemVec |
| typedef sesElemVec::iterator | sesElemVec_iter |
Public Member Functions | |
| Diff_Vars () | |
| virtual | ~Diff_Vars () |
Data Fields | |
| const unsigned long long | MAX_CORDINATES_SIZE = 2000000 |
| std::string | SES_MARK_ADD = "+" |
| std::string | SES_MARK_COMMON = " " |
| std::string | SES_MARK_DELETE = "-" |
Class to hold common/shared type definitions and variables
Definition at line 36 of file Diff_Util.hpp.
| typedef std::vector<long long> hydrogen_framework::Diff_Vars::editPath |
Type definition for editPath
Definition at line 82 of file Diff_Util.hpp.
| typedef std::vector<P> hydrogen_framework::Diff_Vars::editPathCordinates |
Type definition for editPathCordinates
Definition at line 83 of file Diff_Util.hpp.
| typedef std::string hydrogen_framework::Diff_Vars::elem |
Type definition for elem
Definition at line 84 of file Diff_Util.hpp.
Structure for storing element information
| typedef std::list<elem> hydrogen_framework::Diff_Vars::elemList |
Type definition for elemList
Definition at line 88 of file Diff_Util.hpp.
| typedef elemList::iterator hydrogen_framework::Diff_Vars::elemList_iter |
Type definition for elemList_iter
Definition at line 91 of file Diff_Util.hpp.
| typedef std::vector<elem> hydrogen_framework::Diff_Vars::elemVec |
Type definition for elemVec
Definition at line 89 of file Diff_Util.hpp.
| typedef elemVec::iterator hydrogen_framework::Diff_Vars::elemVec_iter |
Type definition for elemVec_iter
Definition at line 94 of file Diff_Util.hpp.
Coordinate for registering route
| typedef std::vector<elem> hydrogen_framework::Diff_Vars::sequence |
Type definition for sequence
Definition at line 85 of file Diff_Util.hpp.
| typedef sequence::const_iterator hydrogen_framework::Diff_Vars::sequence_const_iter |
Type definition for sequence_const_iter
Definition at line 93 of file Diff_Util.hpp.
| typedef sequence::iterator hydrogen_framework::Diff_Vars::sequence_iter |
Type definition for sequence_iter
Definition at line 92 of file Diff_Util.hpp.
| typedef std::pair<elem, elemInfo> hydrogen_framework::Diff_Vars::sesElem |
Type definition for sesElem
Definition at line 86 of file Diff_Util.hpp.
| typedef std::vector<sesElem> hydrogen_framework::Diff_Vars::sesElemVec |
Type definition for sesElemVec
Definition at line 87 of file Diff_Util.hpp.
| typedef sesElemVec::iterator hydrogen_framework::Diff_Vars::sesElemVec_iter |
Type definition for sesElemVec_iter
Definition at line 90 of file Diff_Util.hpp.
Type of edit for SES
Definition at line 51 of file Diff_Util.hpp.
|
inline |
Constructor
Definition at line 41 of file Diff_Util.hpp.
|
inlinevirtual |
Virtual Destructor
Definition at line 46 of file Diff_Util.hpp.
| const unsigned long long hydrogen_framework::Diff_Vars::MAX_CORDINATES_SIZE = 2000000 |
Limit of coordinate size
Definition at line 81 of file Diff_Util.hpp.
Referenced by hydrogen_framework::Diff_Util::compose().
| std::string hydrogen_framework::Diff_Vars::SES_MARK_ADD = "+" |
Setting SES_MARK_ADD
Definition at line 55 of file Diff_Util.hpp.
Referenced by hydrogen_framework::Diff_Mapping::printAddedLines().
| std::string hydrogen_framework::Diff_Vars::SES_MARK_COMMON = " " |
Setting SES_MARK_COMMON
Definition at line 54 of file Diff_Util.hpp.
| std::string hydrogen_framework::Diff_Vars::SES_MARK_DELETE = "-" |
Setting SES_MARK_DELETE
Definition at line 53 of file Diff_Util.hpp.
Referenced by hydrogen_framework::Diff_Mapping::printDeletedLines().


Use the Create Snapshot API to create a new snapshot.
Create Snapshot Requestedit
A CreateSnapshotRequest
:
CreateSnapshotRequest request = new CreateSnapshotRequest();
The following arguments are mandatory:
request.repository(repositoryName);
|
|
The name of the repository.
|
request.snapshot(snapshotName);
|
|
The name of the snapshot.
|
The following arguments are optional:
request.indices("test-index0", "test-index1");
|
|
A list of indices the snapshot is applied to.
|
request.indicesOptions(IndicesOptions.fromOptions(false, false, true, true));
|
|
Options applied to the indices.
|
|
|
Set partial to true to allow a successful snapshot without the
availability of all the indices primary shards. Defaults to false .
|
request.includeGlobalState(true);
|
|
Set includeGlobalState to false to prevent writing the cluster’s global
state as part of the snapshot. Defaults to true .
|
request.masterNodeTimeout(TimeValue.timeValueMinutes(1));
request.masterNodeTimeout("1m");
|
|
Timeout to connect to the master node as a TimeValue .
|
|
|
Timeout to connect to the master node as a String .
|
request.waitForCompletion(true);
|
|
Waits for the snapshot to be completed before a response is returned.
|
Synchronous Executionedit
Execute a CreateSnapshotRequest
synchronously to receive a CreateSnapshotResponse
.
CreateSnapshotResponse response = client.snapshot().create(request, RequestOptions.DEFAULT);
Retrieve the SnapshotInfo
from a CreateSnapshotResponse
when the snapshot is fully created.
(The waitForCompletion
parameter is true
).
SnapshotInfo snapshotInfo = response.getSnapshotInfo();
Asynchronous Executionedit
The asynchronous execution of a create snapshot request requires both the
CreateSnapshotRequest
instance and an ActionListener
instance to be
passed as arguments to the asynchronous method:
client.snapshot().createAsync(request, RequestOptions.DEFAULT, listener);
|
|
The CreateSnapshotRequest to execute and the ActionListener to use when
the execution completes.
|
The asynchronous method does not block and returns immediately. Once it is
completed the ActionListener
is called back with the onResponse
method
if the execution is successful or the onFailure
method if the execution
failed.
A typical listener for CreateSnapshotResponse
looks like:
ActionListener<CreateSnapshotResponse> listener =
new ActionListener<CreateSnapshotResponse>() {
@Override
public void onResponse(CreateSnapshotResponse createSnapshotResponse) {
}
@Override
public void onFailure(Exception exception) {
}
};
|
|
Called when the execution is successfully completed. The response is
provided as an argument.
|
|
|
Called in case of a failure. The raised exception is provided as an
argument.
|
Snapshot Create Responseedit
Use the CreateSnapshotResponse
to retrieve information about the evaluated
request:
RestStatus status = response.status();
|
|
Indicates the node has started the request.
|


Welcome To Cross Zero Game
How to Start :
- Edit the name of players.
- Select symbol and select number of total matches.
- Click on the Start Game button to start the match.
Upcoming :
- We are working on Play Online With Friends Option where you can play with your friends who are playing on other device (Ex. Mobile, Laptop) from anywhere.


{{--
--}}
Toggle navigation
BaTech
Limited
@if(Auth::guest()) @endif
@if (Auth::guest()) @else
Home
@if(auth()->user()->UserLevelID == 4)
Administration
Year Term Setup
Create User
{{--
Create Parent
--}}
Create Teacher
Create Class Info
Create Term
Create Subject
Create Student
Create School Information
@endif @if(auth()->user()->UserLevelID == 4 || auth()->user()->UserLevelID == 2 || auth()->user()->UserLevelID == 6)
Exam Details
Enter Terminal Score
Enter Student Behaviour
@endif @if(auth()->user()->UserLevelID != 2)
Report
Terminal Report
Student in a Class
Teachers and Class
Lists of Class
{{--
--}}
@endif
SMS
Send SMS to Members
Send Personalised SMS to Members
Send SMS to Absentees
Send Personalised SMS to Absentees
@if(auth()->user()->UserLevelID == 1 || auth()->user()->UserLevelID==4)
Send SMS to Leaders
Send Personalised SMS to Leaders
@endif
SMS Credits Balance
SMS Shortcode
SMS Branchcode
@endif
@if (Auth::guest())
Login
@else
{{Auth::user()->name }}
Logout
Password Reset
@endif
@yield('content') {{-- --}}


Research and analysis
A summary of responses to questions asked in the post-16 institutions omnibus survey.
Ref: ISBN 978-1-78105-677-6 , DFE-RR619 PDF , 805KB , 49 pages
MS Excel Spreadsheet , 204KB
ODS , 155KB
This file is in an OpenDocument format
Topics covered for DfE in the post-16 institutions omnibus wave 3 survey include:
Published: 20 January 2017


|
High Level XML
This library provides a simplistic interface for reading XML files.
|
Represents an XML document. More...
#include <Document.h>
Public Member Functions | |
| Document (chstr filename, bool fromResource=true) | |
| Constructor. More... | |
| Document (hsbase &stream) | |
| Constructor. More... | |
| ~Document () | |
| Destructor. | |
| HL_DEFINE_GET (hstr, filename, Filename) | |
| The filename. | |
| Node * | root (chstr name="") |
| Gets the root Node of the Document. More... | |
Protected Member Functions | |
| void | _setup (hsbase &stream, chstr realFilename) |
| Sets up data for later parsing. More... | |
| void | _parse () |
| Parses the XML. | |
Protected Attributes | |
| char * | data |
| Raw data of the Document. | |
| hstr | filename |
| Filename of the Document. | |
| hstr | realFilename |
| Real filename of the Document, used for exception prints. | |
| bool | fromResource |
| Whether data is read from a resource or not. | |
| void * | document |
| The underlying document object. | |
| Node * | rootNode |
| The root Node of the Document. | |
Friends | |
| class | Node |
Represents an XML document.
| hlxml::Document::Document | ( | chstr | filename, |
| bool | fromResource = true |
||
| ) |
Constructor.
| [in] | filename | Filename where to read from. |
| [in] | fromResource | Whether the file is a resource or not. |
| hlxml::Document::Document | ( | hsbase & | stream | ) |
Constructor.
| [in] | stream | Stream where to read from. |
|
protected |
Sets up data for later parsing.
| [in] | stream | XML data stream. |
| [in] | realFilename | The logical filename (used for error printing). |
| Node* hlxml::Document::root | ( | chstr | name = "" | ) |


Cupcake ipsum dolor sit. Amet pie tootsie roll cotton candy sweet roll gummies. Soufflé gummies apple pie apple pie applicake. Gummies topping chocolate bar cheesecake liquorice gingerbread macaroon toffee dragée. Macaroon cookie dragée. Cookie powder jelly beans toffee pastry sweet roll. Marzipan dessert jelly beans applicake.
Powder muffin croissant. Dessert jelly beans tiramisu sugar plum cotton candy tootsie roll donut wafer gingerbread. Oat cake candy canes sweet roll. Danish sweet donut liquorice sesame snaps. Sweet roll macaroon liquorice powder sesame snaps toffee. Cupcake cookie sesame snaps ice cream lollipop bear claw gummies.
Cheesecake sesame snaps sweet candy gummi bears marzipan. Lemon drops lemon drops soufflé. Chupa chups sesame snaps cupcake apple pie. Wafer bear claw tiramisu chupa chups sweet roll brownie. Cotton candy powder sweet muffin candy. Cake chupa chups halvah candy canes fruitcake. Dessert tart oat cake cake jujubes cotton candy lemon drops danish. Jujubes wear.com jujubes toffee ice cream caramels tart gummies chocolate cake. Wafer jelly beans tart.
Muffin jelly beans toffee pudding fruitcake.Soufflé cake caramels cheesecake gummies. Chupa chups danish bear claw powder jelly beans. Powder gummi bears cheesecake sesame snaps jelly-o sugar plum wafer dragée. Sugar plum jelly beans pie biscuit. Biscuit icing lollipop danish ice cream dessert gummies macaroon. Soufflé pudding caramels gummies cotton candy jelly-o. Biscuit carrot cake cheesecake. Gingerbread chocolate tiramisu cotton candy bonbon cake.
Dragée marshmallow muffin wafer tiramisu caramels sugar plum. Candy jelly-o pudding marshmallow sweet. Cake cotton candy oat cake tart gummi bears carrot cake fruitcake jelly-o dessert. Sesame snaps donut toffee bonbon croissant chocolate lemon drops gingerbread. Gummi bears biscuit powder tootsie roll soufflé sweet roll. Ice cream powder lollipop. Cupcake bear claw caramels croissant gingerbread jelly-o croissant dessert. biscuit pie caramels tiramisu jelly icing.
Applicake liquorice gummies muffin powder applicake jelly beans chupa chups. Halvah pastry jelly-o soufflé fruitcake croissant cake. Chocolate cotton candy pastry ice cream halvah carrot cake cupcake. Oat cake macaroon bonbon tootsie roll. Gummies caramels gummi bears gummies biscuit sugar plum. Biscuit tart gummies powder brownie jujubes dragée pudding chupa chups. Icing soufflé pastry dessert cupcake sweet sweet candy canes. Lemon drops cake pastry tiramisu soufflé.
Subheader
Dessert candy cupcake chocolate bar sugar plum sesame snaps liquorice chocolate sweet. Toffee chocolate sweet jujubes. Lemon drops muffin wafer tiramisu. Soufflé marshmallow topping. Danish ice cream marshmallow tiramisu macaroon sugar plum pudding. Macaroon jelly-o fruitcake donut jelly-o pastry carrot cake. Marzipan danish soufflé cake pastry marzipan jelly-o powder. Gingerbread dragée icing biscuit. Dragée pie gingerbread tootsie roll brownie jelly-o.
Apple pie dessert powder biscuit oat cake lollipop sweet chocolate cake. Dragée liquorice brownie bonbon danish chocolate. Toffee cake jujubes fruitcake cheesecake applicake. Dessert donut jujubes macaroon caramels danish macaroon fruitcake. Candy liquorice sugar plum applicake topping cookie jelly-o toffee. Caramels croissant jujubes candy pie pastry. Halvah gingerbread liquorice. Cookie cookie dragée sweet roll ice cream macaroon brownie donut halvah. Soufflé cotton candy macaroon marshmallow apple pie chupa chups jelly-o.
Lemon drops sweet roll soufflé sweet. Halvah fruitcake lemon drops pudding pie jelly beans. Lollipop jelly beans carrot cake marzipan. Wafer lollipop oat cake cheesecake biscuit bear claw. Gummies chocolate cake candy pie cotton candy. Pastry icing liquorice dessert dragée sesame snaps.
Brownie fruitcake chocolate cake danish cotton candy. Dessert donut candy tiramisu caramels bear claw toffee soufflé dessert. Apple pie tootsie roll cake chocolate bar bear claw sesame snaps danish. Danish apple pie jelly cake. Jelly-o bear claw sugar plum tart gummies jelly jelly beans sugar plum. Topping icing halvah marshmallow icing cotton candy tart topping jelly-o. Ice cream croissant brownie . Donut croissant sugar plum macaroon.
Marzipan lollipop tart croissant tart lollipop. Dragée cotton candy croissant brownie carrot cake tiramisu. Jelly powder tart gummies tiramisu icing fruitcake marshmallow. Ice cream marshmallow tiramisu chocolate bar. wafer liquorice ice cream dessert pastry danish candy. Oat cake cookie gingerbread tart icing. Marzipan bear claw sugar plum. Biscuit cupcake jelly-o pudding icing cupcake toffee jelly beans.
Dragée cookie dragée. Gummi bears lollipop croissant powder. Pastry applicake ice cream bear claw lollipop croissant chupa chups. Cheesecake candy canes apple pie cupcake cotton candy cake biscuit. Cake candy canes chocolate bar. Gummi bears chocolate cake gummies chocolate topping applicake halvah chupa chups. Marzipan pudding liquorice brownie. Croissant sweet roll lemon drops ice cream dessert oat cake.
Tart marzipan bear claw wafer candy tart bonbon halvah. Chocolate applicake muffin carrot cake jelly beans cake pie carrot cake. Chocolate bar cake liquorice fruitcake pudding bear claw liquorice jelly-o halvah. Icing chupa chups chocolate sesame snaps brownie. Jujubes brownie fruitcake applicake jelly. Fruitcake applicake bear claw danish applicake tootsie roll icing chocolate cake gummies. Gingerbread apple pie caramels bear claw apple pie apple pie. Biscuit gummies pastry cake jelly candy fruitcake.
Dessert cookie applicake jujubes fruitcake. Oat cake sugar plum chocolate cake lemon drops oat cake. Gummies toffee gummies soufflé caramels sugar plum chocolate bar chocolate bar. Sugar plum gummi bears sweet roll icing chocolate bar pudding. Chupa chups sugar plum chocolate cake. Toffee chupa chups danish apple pie.


The goal is to get all the frogs to the same lily pad.
All frogs on a lily pad will jump together.
The frogs on a lily pad must jump left or right, by the same number of lily pads as there are frogs.
Queen frogs must be on the top of a pile.
Lazy frogs must always be on the bottom of a pile.
Waterlogged lilypads cannot be used.
How to play:
Click on a lily pad to select it.
Clicking on a second lily pad will make all the frogs jump to the second lily pad.
To make a queen, click on the crown, followed by a lily pad.
To make a lazy frog, click on the brown frog, followed by a lily pad.
To make a waterlogged lilypad, click on the crossed out frog, followed by a lily pad.
To start a new game, slide the frog slider.
Original Video
This game is based on the puzzle showcased in the following Numberphile video. WARNING! Spoilers!. The video contains solutions to this puzzle.
You should really try to work out the different challenges before you watch the video.


m-mall-admin
Sunday, February 18 2018, 12:28pm
2
MS
0
0
0
0
0
2
MS
MS
0
Suites
0
Tests
0
Passed
0
Failed
0
Pending
NaN% Pending
NaN% Passing


| Figure 1 |
Overview of the workflow to prepare the climate and phenolog ... |
| Figure 2 |
Cultivar-specific flowering day observed in the field experi ... |
| Figure 3 |
Trend ( a) and spatial pattern ( b) of the observed heading ... |
| Figure 4 |
Mean heading day observed for western Germany and simulated ... |
| Figure 5 |
The 1:1 hexbin plot of the simulated (parameterized by the f ... |


For example:
public class ExtensiveTest {
@Test
public void testAlive() {
System.out.println("nothing");
}
}
Use the table below to specify which combinations of fully qualified class name and method name regular expression qualify as assertions. Class names also match subclasses.
Use the first checkbox below to specify if Java assert
statements, using the assert
keyword, should be considered an assertion.
Use the second checkbox to ignore test methods which declare exceptions. This can be useful when you have tests that will throw an exception on failure and thus don't need any assertions.


You are not at a hotspot. If you want to see a a sample login page using the JSON interface of CoovaChilli, then view the source of this page.


User Guide
This section shows how to reproduce the classification results.
From the main directory launch the following command:
$ leaf_cc-run_model
The classification report, misclassified inspection and score are reported below.
To get to know more about how to run the model with different options, the argument -h
can be passed to the
main statement to get the help messages.
$ leaf_cc-run_model -h
Test classification Report
(shortened output)
precision |
recall |
f1-score |
support |
|
|---|---|---|---|---|
accuracy |
0.65 |
320 |
||
macro avg |
0.67 |
0.65 |
0.62 |
320 |
weighted avg |
0.68 |
0.65 |
0.63 |
320 |
Misclassification inspection
Quercus Castaneifolia was predicted as Quercus Imbricaria: 3 times
Olea Europaea was predicted as Quercus Crassipes: 2 times
Quercus Imbricaria was predicted as Quercus Castaneifolia: 2 times
Quercus Infectoria sub was predicted as Salix Intergra: 2 times
Quercus Canariensis was predicted as Lithocarpus Cleistocarpus: 2 times
Populus Nigra was predicted as Populus Grandidentata: 2 times
Viburnum Tinus was predicted as Quercus Phillyraeoides: 2 times
Morus Nigra was predicted as Liriodendron Tulipifera: 2 times
Quercus Rhysophylla was predicted as Quercus Imbricaria: 2 times
Acer Campestre was predicted as Acer Rubrum: 2 times
Score
Training accuracy: 1.0
Test accuracy: 0.653125


Peru court orders release of opposition leader Keiko Fujimori
by AFPPeru's Constitutional Court on Monday ordered the release of opposition leader Keiko Fujimori, after more than a year of pre-trial detention.
Fujimori, 44, has been held since October last year pending her trial in a corruption case linked to Brazilian construction giant Odebrecht.
"The court has agreed to accept habeas corpus," the president of the court Ernesto Blume said, announcing a ruling that cannot be appealed.
The legal phrase "habeas corpus" refers to the right of a prisoner to be brought before a court or released.
Blume made clear that the Constitutional Court ruling had no bearing on the corruption case against her.
The eldest daughter of disgraced former president Alberto Fujimori, Keiko Fujimori is accused of accepting $1.2 million in illicit party funding from Odebrecht for her 2011 presidential campaign.
Once Peru's most popular politician, Monday's decision theoretically gives her time to campaign for presidential elections slated for July 2021.
"Justice has been done, a divine justice. God is great!" said her husband, US citizen Mark Vito, who had begun a hunger strike outside his wife's prison on the outskirts of Lima to press for her release
Following a previous appeal, the Supreme Court had halved the detention period, earmarking her release for next April.
Prosecutors have accused a total of 11 people linked to Fujimori's party of running a criminal organization to raise money for her 2011 campaign.
Odebrecht has admitted paying at least $29 million in bribes to Peruvian officials since 2004.
Three former presidents are being investigated over Odebrecht while a fourth, Alan Garcia, committed suicide in April after police arrived at his house to arrest him for money laundering.


---
layout: post
title: Interesting Reads 6/21 - 6/27
date: '2014-06-28T10:59:00.001-04:00'
author: Allison McMillan
tags:
- SQL
- servers
- things I've read
- first job questions
modified_time: '2014-06-28T10:59:50.031-04:00'
blogger_id: tag:blogger.com,1999:blog-6054545261088815023.post-8931403223597691740
blogger_orig_url: http://allisonsherenmcmillan.blogspot.com/2014/06/interesting-reads-621-627.html
---
Just a few short reads this week on SQL, servers, interviews, and teams.
Enjoy!
Working on a distributed team
A perfectly bad interview question
Culture fit and its dangers
SQL joins
App server comparisons


Pizza Peddler.
Ngowwa Pizzeria offers a scrumptious of pizza and we hope that you will enjoy...
Pizza size:
Vegetables:
Crust:
Total charges:


Select Size:
XS (4 pairs)
S (9 pairs)
M (16 pairs)
L (25 pairs)
XL (36 pairs)
Moves:
0
Pairs:
0
Match Rate:


{{ meeting.display_address }}Southeast Portland, Hawthorne, Sunnyside (map)
1 person going
{{ meeting.users.length }} people going
Jump in


Description
Decide whether other rules should validate given build when this rule matches the build.
Use cases
When several rules work exclusively it might be helpful to stop processing others for given build when first of the rule matches.
Warning!
This rule is validated against rule per each build


Hello again.
I want to monitor my heat pump using a CT. The inrush current is over 150A!!!
Will it be detrimental to the measurements if I put in two 2.5v zeners clamp the output voltage to 5v pp ?
I want to make sure I don't blow the adc channel.
Thanks again.
Re: Limiting heat pump inrush current surge with zeners ?
Which ct are you using, which input circuit? (EmonTx - which, Arduino, or what?)
Two 2.5 V zeners WON'T clamp it to 5 V - think what the reverse characteristic of a zener is. But depending on the input circuitry, it might not be necessary and almost certainly won't be the best way.
The analogue input has protection diodes built in, and these have a maximum current rating of 40 mA, so it is the current, not the voltage, that you need to limit. You need to calculate or measure the peak voltage you get from your ct (see my report on the YHDC one to see what the shape of the burden voltage might be) and use a series resistor between the burden and the input to limit that current. That resistor is already present in the emonTx V3. The maximum recommended value according to the Atmel data sheet is 10 kΩ, which should be more than enough without having a significant effect on the accuracy.
Re: Limiting heat pump inrush current surge with zeners ?
Which CT circuit?
Well, a homebrew actually. I'm using 40A CR8448-2500-N CT's feeding into multiple ADS1015 i2c converters running at 5v.
The ADS1015 specifically states that no voltage over VDD+0.3 should be applied to any pin.
Built around the building blocks documentation on this site. Using 10k voltage divider with 10uF ceramic bypass and 110 ohm burden resistor (4.97Vpp).
Sorry for throwing a curve ball, but I appreciate the help.
Re: Limiting heat pump inrush current surge with zeners ?
Hmm, just came back from learning about the drawbacks of using zeners in this type of application.
Plan B:
Purchase and design around a 200A CT to ensure I don't exceed the input voltage then use the adjustable gain of the ADC to increase resolution once the startup surge has subsided.
Unless of course there are other suggestions ?
Re: Limiting heat pump inrush current surge with zeners ?
I've got to come back to what I wrote above. Just look at the data sheet, page 9 - the inputs are shown with protection diodes! And you didn't read this bit properly either: "To prevent the ESD diodes from turning on, the absolute voltage on any input must stay within the following range: GND – 0.3V < AINx < VDD + 0.3V"
That "GND – 0.3V" and "VDD + 0.3 V" are entirely reasonable since a voltage source is expected to be able to supply infinite current. Hence anything more than 0.3 V outside the supply rails will source an unacceptably high current into the diode. The data sheet tells you what the acceptable limit is, in Absolute Maximum Ratings. As the input impedance is in the megohm region, there is of course only one way to get that sort of input current. So now it should be very obvious, especially when you read all of page 9, what you need to do.
I think that if you limit the current to, say, 2-3 mA, you will be perfectly safe.
And don't expect to see 18 V p-p out of the ct either, since even though it is revenue grade, it will be starting to saturate at 3.75 x rated current.
Re: Limiting heat pump inrush current surge with zeners ?
Gee, can it be as simple as adding a (1.7k which I have plenty of) resistor in series with the input to limit the current and let the internal diodes do their thing ?
Re: Limiting heat pump inrush current surge with zeners ?
There's an old saying that goes something like this: "Engineers can do for pennies what everybody else does for pounds." [Insert the appropriate units for your currency.] I'm an engineer.
Re: Limiting heat pump inrush current surge with zeners ?
Your help is very much appreciated. My interpretation of datasheet subtleties has also improved with your guidance.
Thank you.


A WAVY WALL ANALYTICAL MODEL OF MUCO-CILIARY PUMPING
Ce Stephen MY Ross
A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy.
Baltimore, Maryland 1971
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.


Dany Miles commented on your photo
James posted a photo on your wall
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Suport needed for user123
4:10 PM
Invoice for order is mailed
New project will start tomorrow


Chapter 2 Introduction
2.1 Preliminary
The use of SPSS accommodates all people including the novice computer user and those with no previous experience using SPSS. The study chapters are divided into sub-sections that explains the statistics to be used, with underlying assumptions, and methodology for the results interpretation and express then in a research report.
The genesis of the book explains how to start the SPSS, variable definitions, data entry and saving. All the necessary and fundamental statistics techniques are explained. These statistics included the descriptive statistics, data graphing, association and prediction, inferential statistics for parametric and nonparametric, and statistics for test construction.
The learners are expected to follow up with the sample screenshots.
New to this edition 1:
Data and real output are now available for all Phrasing Results sections – eliminating hypothetical output or hypothetical data
Henry Njagi is a lecturer and a Statistician with advanced knowledge in data and Analytics (MSc. in Applied Statistics, Jomo Kenyatta University of Agriculture and Technology).


BUFFY THE VAMPIRE SLAYER A film review by Ken Johnson Copyright 1992 Ken Johnson
85 min., PG-13, Comedy, 1992 Director: Fran Rubel Kuzui Cast: Kristy Swanson, Donald Sutherland, Paul Reubens, Rutger Hauer, Luke Perry
Donald Sutherland goes to high school cheerleader Kristy Swanson and tries to convince her that she is the chosen one to fight vampire Rutger Hauer and his assistant Paul Reubens. After he convinces her that she is the chosen one he tries to teach her in the ways of vampire slaying.
If you are in the mood for a serious film or a horror film, BUFFY THE VAMPIRE SLAYER is not for you. BUFFY THE VAMPIRE SLAYER is mainly a teenager/college student comedy film. Most adults, unless you are stuck in the Peter Pan Syndrome, will find this film a waste of time, and money. I highly recommend this film to high school and college students, but not to adults. If you are a Peter Pan adult, I suggest matinee prices only. On a scale of zero to five, I give BUFFY THE VAMPIRE SLAYER a four. BUFFY THE VAMPIRE SLAYER is rated PG-13 for adult situations, explicit language, violence, and adult humor.
I have always thought that Luke Perry, "Beverly Hills, 90210," had no acting ability, and after seeing this film I have seen nothing to change my mind. The only reason that I can see that he was put in this film was to attract teenage girls so they can "oh" and "ah" him when he is on the screen. Thankfully his part is well-written and he isn't a key actor in this film.
Paul Reubens, the famous Pee-Wee Herman (who I don't think will ever work as Pee-Wee again), shows signs of becoming a real actor. I have never been a fan of Pee-Wee Herman and I hated Pee-Wee's Playhouse. I also extremely disliked his acting in Cheech and Chong's NICE DREAMS. He looks and sounds nothing like Pee-Wee, and thankfully, acts nothing like him. If he keeps it up he might have a future in films!
Kristy Swanson does a good job as Buffy, and I think that she is the cutest vampire basher you will ever see. She does an exceptional job in the beginning of the film as the "I'm better than everybody else cheerleader." Donald Sutherland, I think, has one of the best characters in his career. Usually I am not taken with his characters, like the college professor in NATIONAL LAMPOON'S ANIMAL HOUSE, but I liked his character in this film. There isn't much to say about Rutger Hauer. He is not on for much time at all and never really got any character development. The film could have spent a little longer on him.
The film was well written, and towards the end Paul Reubens has one of the best scenes in the film. The film was not scary. I will assume that it was not meant to be. If it was, they messed up. Who ever wrote the part for the principal must have just come out of high school. His "Don't look at me as administration, look at me as a party animal" speech is very typical, at least in my high school, of those in power. I wish that the film had been longer. Just about the time I really started to get into it, the film was starting to wind down.
One last note, you should stay through the beginning of the end credits because they contain a few funny scenes.
Ken J<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{extend name="public:index"} {block name="title"}Support{/block} {block name="index"}
delete
Issue *
Describe the technical issue or share your feedback with the developers
{$data['descibe']}
Nature *
Design Improvement Request Bug
A bug hinders the basic functionality of the system. It must be fixed. Otherwise, management cannot use the system. A bug compromises AML compliance. A design improvement request is a desired enhancement. If this issue is not addressed, system can still be used to meet the basic objectives. A design improvement request has no impact on AML compliance. Note: Bugs will be fixed on a timely manner. Design improvement requests will be addressed depending on the impact and the amount of work required. Some requests can be addressed right away and others can be postponed to a later time or not addressed.
File
Nature
Open Closed


| gdata.Crypto.Protocol.Chaffing | index /usr/local/google/home/afshar/src/external-gdata-release/google3/src/gdata/Crypto/Protocol/Chaffing.py |
This file implements the chaffing algorithm.
Winnowing and chaffing is a technique for enhancing privacy without requiring
strong encryption. In short, the technique takes a set of authenticated
message blocks (the wheat) and adds a number of chaff blocks which have
randomly chosen data and MAC fields. This means that to an adversary, the
chaff blocks look as valid as the wheat blocks, and so the authentication
would have to be performed on every block. By tailoring the number of chaff
blocks added to the message, the sender can make breaking the message
computationally infeasible. There are many other interesting properties of
the winnow/chaff technique.
For example, say Alice is sending a message to Bob. She packetizes the
message and performs an all-or-nothing transformation on the packets. Then
she authenticates each packet with a message authentication code (MAC). The
MAC is a hash of the data packet, and there is a secret key which she must
share with Bob (key distribution is an exercise left to the reader). She then
adds a serial number to each packet, and sends the packets to Bob.
Bob receives the packets, and using the shared secret authentication key,
authenticates the MACs for each packet. Those packets that have bad MACs are
simply discarded. The remainder are sorted by serial number, and passed
through the reverse all-or-nothing transform. The transform means that an
eavesdropper (say Eve) must acquire all the packets before any of the data can
be read. If even one packet is missing, the data is useless.
There's one twist: by adding chaff packets, Alice and Bob can make Eve's job
much harder, since Eve now has to break the shared secret key, or try every
combination of wheat and chaff packet to read any of the message. The cool
thing is that Bob doesn't need to add any additional code; the chaff packets
are already filtered out because their MACs don't match (in all likelihood --
since the data and MACs for the chaff packets are randomly chosen it is
possible, but very unlikely that a chaff MAC will match the chaff data). And
Alice need not even be the party adding the chaff! She could be completely
unaware that a third party, say Charles, is adding chaff packets to her
messages as they are transmitted.
For more information on winnowing and chaffing see this paper:
Ronald L. Rivest, "Chaffing and Winnowing: Confidentiality without Encryption"
http://theory.lcs.mit.edu/~rivest/chaffing.txt
| Classes | ||||||||||
|
|
| Data | ||
| __revision__ = '$Id: Chaffing.py,v 1.7 2003/02/28 15:23:21 akuchling Exp $' |


| Modifier and Type | Method and Description |
|---|---|
Bid |
NegotiationResult.getLastBid() |
Bid |
BidHistory.getLastBid()
Returns the last bid added to the history.
|
Bid |
DomainImpl.getRandomBid(java.util.Random r) |
Bid |
Domain.getRandomBid(java.util.Random r) |
Bid |
LinearBidIterator.next() |
Bid |
BidIterator.next() |
Bid |
Bid.putValue(int issueId,
Value pValue) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
Bid.equals(Bid pBid) |
double |
Agent.getUtility(Bid bid)
A convenience method to get the discounted utility of a bid.
|
java.util.Map<java.lang.String,java.lang.String> |
AgentAdapter.negotiationEnded(Bid acceptedBid) |
| Constructor and Description |
|---|
Bid(Bid bid)
This method clones the given bid.
|
NegotiationResult(double myDiscountedUtility,
Action lastAction,
Bid lastBid) |
| Modifier and Type | Field and Description |
|---|---|
protected Bid |
DefaultActionWithBid.bid
The involved bid.
|
| Modifier and Type | Method and Description |
|---|---|
Bid |
OfferForVoting.getBid() |
Bid |
DefaultActionWithBid.getBid()
Returns the bid offered by the agent which created this offer.
|
Bid |
ActionWithBid.getBid()
Returns the bid that is involved with this action.
|
static Bid |
DefaultAction.getBidFromAction(Action currentAction)
Method which returns the bid of the current action if it is of the type
Offer or else Null.
|
| Constructor and Description |
|---|
Accept(AgentID agentID,
Bid bid) |
DefaultActionWithBid(AgentID agentID,
Bid bid)
Creates an action symbolizing an offer for the opponent.
|
EndNegotiationWithAnOffer(AgentID party,
Bid bid) |
InformVotingResult(AgentID party,
Bid bid,
Vote vote) |
Offer(AgentID agentID,
Bid bid) |
OfferForFeedback(Agent agent,
Bid bid)
Creates a new instance of SendBid
|
OfferForFeedback(AgentID agent,
Bid bid)
Creates a new instance of SendBid
|
OfferForVoting(Agent agent,
Bid bid)
Creates a new instance of SendBid
|
OfferForVoting(AgentID agent,
Bid bid)
Creates a new instance of SendBid
|
Reject(AgentID agentID,
Bid bid)
Action to accept an opponent's bid.
|
| Modifier and Type | Method and Description |
|---|---|
Bid |
BidPoint.getBid()
Bid from which the utilities are represented.
|
| Modifier and Type | Method and Description |
|---|---|
java.util.List<Bid> |
MultilateralAnalysis.getParetoFrontierBids()
Method which returns a list of the Pareto efficient bids.
|
java.util.List<Bid> |
BidSpace.getParetoFrontierBids()
Method which returns a list of the Pareto efficient bids.
|
| Modifier and Type | Method and Description |
|---|---|
BidPoint |
BidSpace.getNearestBidPoint(double utilA,
double utilB,
double weightA,
double weightB,
java.util.ArrayList<Bid> excludeList)
Finds the bid with the minimal distance
weightA*DeltaUtilA^2+weightB*DeltaUtilB^2 where DeltaUtilA is the
difference between given utilA and the actual utility of the bid.
|
| Constructor and Description |
|---|
BidPoint(Bid bid,
java.lang.Double... utility)
Create a BidPoint by given the bid and the tuple
of utilities for that bid.
|
BidPointTime(Bid bid,
java.lang.Double utilityA,
java.lang.Double utilityB,
double time)
Create a BidPointTime object, which is a tuple of a specific
bid, the utility of this bid for both agents, and the time at
which the bid was offered.
|
MultilateralAnalysis(java.util.List<? extends PartyWithUtility> parties,
Bid agreedBid,
java.lang.Double endTime) |
| Modifier and Type | Method and Description |
|---|---|
Bid |
BidDetails.getBid()
Returns the bid.
|
| Modifier and Type | Method and Description |
|---|---|
int |
BidStrictSorterUtility.compare(Bid b1,
Bid b2)
Comperator.
|
void |
BidDetails.setBid(Bid bid)
Set the bid.
|
| Constructor and Description |
|---|
BidDetails(Bid bid,
double myUndiscountedUtil)
Creates a BidDetails-object which stores a bid with it's corresponding utility.
|
BidDetails(Bid bid,
double myUndiscountedUtil,
double time)
Creates a BidDetails-object which stores a bid with it's corresponding
utility and the time it was offered.
|
| Modifier and Type | Field and Description |
|---|---|
java.util.ArrayList<Pair<Bid,java.lang.String>> |
BoaParty.savedOutcomes
Store
Multi_AcceptanceCondition outcomes |
java.util.ArrayList<Pair<Bid,java.lang.String>> |
BOAagent.savedOutcomes
Store
Multi_AcceptanceCondition outcomes |
| Modifier and Type | Method and Description |
|---|---|
Bid |
OutcomeTuple.getLastBid() |
| Modifier and Type | Method and Description |
|---|---|
double |
OpponentModel.getBidEvaluation(Bid bid)
Determines the utility of a bid according to the preference profile.
|
double |
NegotiationSession.getDiscountedUtility(Bid bid,
double time)
Returns the discounted utility of a bid given the bid and the time at
which it was offered.
|
void |
Multi_AcceptanceCondition.remainingACAccept(Bid lastBid,
double time,
java.util.ArrayList<BidPointTime> fAgentABids,
java.util.ArrayList<BidPointTime> fAgentBBids,
java.lang.String acceptedBy) |
void |
OutcomeTuple.setLastBid(Bid lastBid) |
void |
OpponentModel.updateModel(Bid opponentBid)
Method used to receiveMessage the opponent model.
|
abstract void |
OpponentModel.updateModel(Bid bid,
double time)
Method used to receiveMessage the opponent model.
|
void |
NoModel.updateModel(Bid opponentBid,
double time) |
| Constructor and Description |
|---|
OutcomeTuple(Bid lastBid,
java.lang.String name,
double time,
int agentASize,
int agentBSize,
java.lang.String logMsg,
java.lang.String acceptedBy) |
| Modifier and Type | Method and Description |
|---|---|
Bid |
MultipartySessionEndedEvent.getAgreement() |
Bid |
MultipartyNegoActionEvent.getAgreement() |
| Constructor and Description |
|---|
MultipartyNegoActionEvent(Action action,
int round,
int turn,
double time,
java.util.List<NegotiationPartyInternal> parties,
Bid agreed) |
MultipartySessionEndedEvent(Session session,
Bid agreement,
java.util.List<NegotiationPartyInternal> parties) |
| Modifier and Type | Method and Description |
|---|---|
Bid |
Outcome.getBid() |
| Constructor and Description |
|---|
Outcome(Bid bid,
int round,
int turn,
java.util.List<? extends PartyWithUtility> parties,
boolean isAgreement,
AgentID agent,
double time)
Create new outcome.
|
| Modifier and Type | Method and Description |
|---|---|
static java.util.List<java.lang.Double> |
CsvLogger.getUtils(java.util.List<NegotiationPartyInternal> parties,
Bid agreement,
boolean discount) |
| Modifier and Type | Method and Description |
|---|---|
protected Bid |
AbstractNegotiationParty.generateRandomBid()
Generates a random bid which will be generated using this.utilitySpace.
|
| Modifier and Type | Method and Description |
|---|---|
double |
NegotiationPartyInternal.getUtility(Bid bid) |
double |
AbstractNegotiationParty.getUtility(Bid bid)
Gets the utility for the given bid.
|
double |
NegotiationPartyInternal.getUtilityWithDiscount(Bid bid) |
double |
AbstractNegotiationParty.getUtilityWithDiscount(Bid bid)
Gets the time discounted utility for the given bid.
|
java.util.Map<java.lang.String,java.lang.String> |
NegotiationParty.negotiationEnded(Bid acceptedBid)
This is called to inform the agent that the negotiation has been ended.
|
java.util.HashMap<java.lang.String,java.lang.String> |
AbstractNegotiationParty.negotiationEnded(Bid acceptedBid) |
| Modifier and Type | Method and Description |
|---|---|
void |
NegotiationPartyInternal.saveStorage(java.util.List<Action> actions,
java.util.Map<java.lang.String,java.lang.String> profiles,
Tuple<Bid,java.lang.Double> agreement)
Saves the persistent storage , see
SessionsInfo . |
| Modifier and Type | Method and Description |
|---|---|
Tuple<Bid,java.lang.Double> |
StandardInfo.getAgreement()
get the agreement.
|
Tuple<Bid,java.lang.Double> |
DefaultStandardInfo.getAgreement() |
| Constructor and Description |
|---|
DefaultStandardInfo(java.util.Map<java.lang.String,java.lang.String> profiles,
java.lang.String startingAgent,
java.util.List<Tuple<java.lang.String,java.lang.Double>> utilities,
Deadline deadline,
Tuple<Bid,java.lang.Double> agreement) |
| Modifier and Type | Field and Description |
|---|---|
protected Bid |
BilateralAtomicNegotiationSession.lastBid |
| Modifier and Type | Method and Description |
|---|---|
Bid |
StackedAlternatingOffersProtocol.getCurrentAgreement(Session session,
java.util.List<NegotiationParty> parties)
Will return the current agreement.
|
Bid |
SimpleMediatorBasedProtocol.getCurrentAgreement(Session session,
java.util.List<NegotiationParty> parties)
Returns the last offer for voting as the current agreement.
|
Bid |
MultilateralProtocol.getCurrentAgreement(Session session,
java.util.List<NegotiationParty> parties)
This method should return the current agreement.
|
Bid |
MediatorFeedbackBasedProtocol.getCurrentAgreement(Session session,
java.util.List<NegotiationParty> parties)
Returns the last offer that got accepted.
|
Bid |
DefaultMultilateralProtocol.getCurrentAgreement(Session session,
java.util.List<NegotiationParty> parties)
This method should return the current agreement.
|
Bid |
AlternatingMultipleOffersProtocol.getCurrentAgreement(Session session,
java.util.List<NegotiationParty> parties)
Gets the current agreement if any.
|
Bid |
BilateralAtomicNegotiationSession.getLastBid() |
| Modifier and Type | Method and Description |
|---|---|
double |
BilateralAtomicNegotiationSession.getOpponentUtility(Agent pAgent,
Bid pBid) |
| Modifier and Type | Method and Description |
|---|---|
void |
AlternatingOffersBilateralAtomicNegoSession.createOutcome(Bid lastBid,
double time,
boolean isMac,
OutcomeTuple outcomeTuple,
java.lang.String acceptedBy)
Creates an actual outcome object that can be logged
|
| Modifier and Type | Method and Description |
|---|---|
void |
Trace.addBid(int index,
Bid bid,
double evaluation,
double time) |
double |
NegotiationSessionWrapper.getDiscountedUtility(Bid bid,
double time) |
int |
OpponentModelMeasures.getOpponentBidIndex(Bid opponentBid) |
| Modifier and Type | Method and Description |
|---|---|
Bid |
UtilitySpaceTools.getMaxUtilityBid()
Returns the maximum bid in the utility space.
|
Bid |
AbstractUtilitySpace.getMaxUtilityBid()
Returns the maximum bid in the utility space.
|
Bid |
UtilitySpaceTools.getMinUtilityBid()
Returns the worst bid in the utility space.
|
Bid |
AbstractUtilitySpace.getMinUtilityBid()
Returns the worst bid in the utility space.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
InclusiveHyperRectangle.doesCover(Bid bid) |
java.lang.Double |
EvaluatorReal.getEvaluation(AdditiveUtilitySpace uspace,
Bid bid,
int index) |
java.lang.Double |
EvaluatorObjective.getEvaluation(AdditiveUtilitySpace uspace,
Bid bid,
int index) |
java.lang.Double |
EvaluatorInteger.getEvaluation(AdditiveUtilitySpace uspace,
Bid bid,
int index) |
java.lang.Double |
EvaluatorDiscrete.getEvaluation(AdditiveUtilitySpace uspace,
Bid bid,
int issueID)
Returns the evaluation of the value of the issue of the bid.
|
java.lang.Double |
Evaluator.getEvaluation(AdditiveUtilitySpace uspace,
Bid bid,
int index)
This method returns the utility of the value of an issue.
|
double |
AdditiveUtilitySpace.getEvaluation(int pIssueIndex,
Bid bid)
Returns the utility of one issue in the bid.
|
java.lang.Integer |
EvaluatorDiscrete.getEvaluationNotNormalized(Bid bid,
int ID) |
double |
UtilitySpace.getUtility(Bid bid) |
double |
UtilityFunction.getUtility(Bid bid) |
double |
NonlinearUtilitySpace.getUtility(Bid bid) |
double |
InclusiveHyperRectangle.getUtility(Bid bid) |
abstract double |
HyperRectangle.getUtility(Bid bid) |
double |
ExclusiveHyperRectangle.getUtility(Bid bid) |
double |
ConstraintUtilitySpace.getUtility(Bid bid) |
double |
Constraint.getUtility(Bid bid) |
double |
AdditiveUtilitySpace.getUtility(Bid bid) |
double |
AbstractUtilitySpace.getUtilityWithDiscount(Bid bid,
double time)
|
double |
AbstractUtilitySpace.getUtilityWithDiscount(Bid bid,
TimeLineInfo timeline)
Let d in (0, 1) be the discount factor.
|
abstract boolean |
ZeroOutcomeContraint.willGetZeroOutcomeUtility(Bid bid) |
boolean |
InclusiveZeroOutcomeConstraint.willGetZeroOutcomeUtility(Bid bid) |
boolean |
ExclusiveZeroOutcomeConstraint.willGetZeroOutcomeUtility(Bid bid) |
boolean |
ConditionalZeroOutcomeConstraint.willGetZeroOutcomeUtility(Bid bid) |
boolean |
ZeroConstraint.willZeroUtility(Bid bid) |
boolean |
SumZeroNotConstraint.willZeroUtility(Bid bid) |
boolean |
SumZeroConstraintList.willZeroUtility(Bid bid) |
boolean |
SumZeroConstraint.willZeroUtility(Bid bid) |
abstract boolean |
RConstraint.willZeroUtility(Bid bid) |
boolean |
ExclusiveZeroConstraint.willZeroUtility(Bid bid) |
boolean |
ConditionalZeroConstraint.willZeroUtility(Bid bid) |


To set an Execution model, in the Initialize method, call the SetExecution method.
Initialize
SetExecution
SetExecution(new ImmediateExecutionModel());
self.SetExecution(ImmediateExecutionModel())
To view all the pre-built Execution models, see Supported Models.


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https://github.com/blechschmidt/massdns
MassDNS 0.3 (experimental)
A high-performance DNS stub resolver
MassDNS is a simple high-performance DNS stub resolver targetting those who seek to resolve a massive amount of domain names in the order of millions or even billions. Without special configuration, MassDNS is capable of resolving over 350,000 names per second using publicly available resolvers.
Major changes
This version of MassDNS is currently experimental. In order to speed up the resolving process, the ldns dependency has been replaced by a custom stack-based DNS implementation (which currently only supports the text representation of the most common DNS records). Furthermore, epoll has been introduced in order to lighten CPU usage when operating with a low concurrency which may have broken compatibility with some platforms. In case of bugs, please create an issue and switch to the more mature version 0.2.
Also note that the command line interface has changed slightly due to criticism of the output complexity. Additionally, the default values of the -s and -i parameters have been changed. The repository structure has been changed as well.
Contributors
Quirin Scheitle, Technical University of Munich
Compilation
Clone the git repository and cd into the project root folder. Then run make to build from source.
Usage
Usage: ./bin/massdns [options] [domainlist]
-b --bindto Bind to IP address and port. (Default: <IP_ADDRESS>:0)
-c --resolve-count Number of resolves for a name before giving up. (Default: 50)
--drop-user User to drop privileges to when running as root. (Default: nobody)
--flush Flush the output file whenever a response was received.
-h --help Show this help.
-i --interval Interval in milliseconds to wait between multiple resolves of the same
domain. (Default: 500)
-l --error-log Error log file path. (Default: /dev/stderr)
--norecurse Use non-recursive queries. Useful for DNS cache snooping.
-o --output Flags for output formatting.
--predictable Use resolvers incrementally. Useful for resolver tests.
--processes Number of processes to be used for resolving. (Default: 1)
-q --quiet Quiet mode.
--rcvbuf Size of the receive buffer in bytes.
--retry Unacceptable DNS response codes. (Default: REFUSED)
-r --resolvers Text file containing DNS resolvers.
--root Do not drop privileges when running as root. Not recommended.
-s --hashmap-size Number of concurrent lookups. (Default: 10000)
--sndbuf Size of the send buffer in bytes.
--sticky Do not switch the resolver when retrying.
--socket-count Socket count per process. (Default: 1)
-t --type Record type to be resolved. (Default: A)
--verify-ip Verify IP addresses of incoming replies.
-w --outfile Write to the specified output file instead of standard output.
Output flags:
S - simple text output
F - full text output
B - binary output
This overview may be incomplete. For more options, especially concerning output formatting, use --help.
Example
Resolve all AAAA records from domains within domains.txt using the resolvers within resolvers.txt in lists and store the results within results.txt:
$ ./bin/massdns -r lists/resolvers.txt -t AAAA domains.txt > results.txt
This is equivalent to:
$ ./bin/massdns -r lists/resolvers.txt -t AAAA -w results.txt domains.txt
Example output
By default, MassDNS will output response packets in text format which looks similar to the following:
;; Server: <IP_ADDRESS>:53
;; Size: 93
;; Unix time:<PHONE_NUMBER>
;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 51298
;; flags: qr rd ra ; QUERY: 1, ANSWER: 1, AUTHORITY: 2, ADDITIONAL: 0
;; QUESTION SECTION:
example.com. IN A
;; ANSWER SECTION:
example.com. 45929 IN A <IP_ADDRESS>
;; AUTHORITY SECTION:
example.com. 24852 IN NS b.iana-servers.net.
example.com. 24852 IN NS a.iana-servers.net.
The resolver IP address is included in order to make it easier for you to filter the output in case you detect that some resolvers produce bad results.
Resolving
The repository includes the file resolvers.txt consisting of a filtered subset of the resolvers provided by the subbrute project. Please note that the usage of MassDNS may cause a significant load on the used resolvers and result in abuse complaints being sent to your ISP. Also note that the provided resolvers are not guaranteed to be trustworthy. The resolver list is currently outdated with a large share of resolvers being dysfunctional.
MassDNS's DNS implementation is currently very sporadic and only supports the most common records. You are welcome to help changing this by collaborating.
PTR records
MassDNS includes a Python script allowing you to resolve all IPv4 PTR records by printing their respective queries to the standard output.
$ ./scripts/ptr.py | ./bin/massdns -r lists/resolvers.txt -t PTR -w ptr.txt
Please note that the labels within in-addr.arpa are reversed. In order to resolve the domain name of <IP_ADDRESS>, MassDNS expects <IP_ADDRESS>.in-addr.arpa as input query name. As a consequence, the Python script does not resolve the records in an ascending order which is an advantage because sudden heavy spikes at the name servers of IPv4 subnets are avoided.
Reconnaissance by brute-forcing subdomains
Perform reconnaissance scans responsibly and adjust the -s parameter to not overwhelm authoritative name servers.
Similar to subbrute, MassDNS allows you to brute force subdomains using the included subbrute.py script:
$ ./scripts/subbrute.py lists/names.txt example.com | ./bin/massdns -r lists/resolvers.txt -t A -o S -w results.txt
As an additional method of reconnaissance, the ct.py script extracts subdomains from certificate transparency logs by scraping the data from crt.sh:
$ ./scripts/ct.py example.com | ./bin/massdns -r lists/resolvers.txt -t A -o S -w results.txt
The files names.txt and names_small.txt, which have been copied from the subbrute project, contain names of commonly used subdomains. Also consider using Jason Haddix' subdomain compilation with over 1,000,000 names.
Screenshots
Screenshot
Security
MassDNS does not require root privileges and will therefore drop privileges to the user called "nobody" by default when being run as root. If the user "nobody" does not exist, MassDNS will refuse execution. In this case, it is recommended to run MassDNS as another non-privileged user. The privilege drop can be circumvented using the --root argument which is not recommended. Also note that other branches than master should not be used in production at all.
Practical considerations
Performance tuning
MassDNS is a simple single-threaded application designed for scenarios in which the network is the bottleneck. It is designed to be run on servers with high upload and download bandwidths. Internally, MassDNS makes use of a hash map which controls the concurrency of lookups. Setting the size parameter -s hence allows you to control the lookup rate. If you are experiencing performance issues, try adjusting the -s parameter in order to obtain a better success rate.
Rate limiting evasion
In case rate limiting by IPv6 resolvers is a problem, have a look at the freebind project including packetrand, which will cause each packet to be sent from a different IPv6 address from a routed prefix.
Result authenticity
If the authenticity of results is highly essential, you should not rely on the included resolver list. Instead, set up a local unbound resolver and supply MassDNS with its IP address. In case you are using MassDNS as a reconnaissance tool, you may wish to run it with the default resolver list first and re-run it on the found names with a list of trusted resolvers in order to eliminate false positives.
Todo
Prevent flooding resolvers which are employing rate limits or refusing resolves after some time
Implement bandwidth limits
Employ cross-resolver checks to detect DNS poisoning and DNS spam (e.g. Level 3 DNS hijacking)
Add wildcard detection for reconnaissance
Improve reconnaissance reliability by adding a mode which re-resolves found domains through a list of trusted (local) resolvers in order to eliminate false positives
Detect optimal concurrency automatically
Parse the command line properly and allow the usage/combination of short options without spaces


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Personal Essay
There are two main criteria for writing a successful personal essay
- Follow directions exactly
- Distinguish yourself from the crowd through your past experiences
Follow Directions
Admission committees will be reading through dozens, hundreds or thousands of applications depending on where you are applying. A heuristic that most follow to make their jobs easier is to throw out all those that don’t follow instructions. So, read questions carefully and answer what they ask for. Try to be clear and concise and always stay under word/page limits (with NO formatting tricks). Give yourself as much time as possible to work on these essays by selecting potential schools early and getting together all of the admissions material you need. By starting early, you’ll be able to have the best opportunity to have a number of people look through your materials to improve them. Then, at your leisure:
- Read each program thoroughly
- Select the schools/programs/advisors you want to apply to
- Prepare to write and tailor to each specific school/program/advisor
Distinguish Yourself from the Crowd
Admissions committees need to know is who you are -- and in particular, what you can do (in order for them to know think about what you might be able to do). Tell them why you are attracted to the profession/field, what you've done to prepare, and what you hope to accomplish. You do this by telling the story of yourself (while minimizing the grammatical first person and self-aggrandizement - it’s a difficult line to walk). Also, distinguish yourself without being odd. This isn’t a “viral” way to ask someone to prom or trying to make an impression on the first night of the Bachelor/Bachelorette.
The personal essay let's you tell the admissions committee that you are prepared to be a graduate student because you've already experienced the things that make graduate school difficult, taking difficult classes, teaching, time management, research and you're ready for more.
Basic Outline of a Personal Statement
- Motivation for studying -- opening paragraph -- anecdotal/narrative (why this field/profession?)
- Qualities/Experiences -- told by example -- a few focused, well-developed arguments -- no listing, re-hashing of cv (why you? - what can you do)
- Future Plans -- what populations, organizational settings, research are you interested in? Not set in stone, but need some indication (what are your plans?). This is especially important if you are applying to work with a specific advisor.
- School Choice -- why this program?
Things to think about/consider
- Most Important Rule -- Only write about what is directly relevant your merit as a graduate student. No need to go high school English essay on the admissions committee and add famous quotes from other people
- Be truthful - They need to know what you have done - from this they will think about what you will be able to do. The best predictor of future success is past success. While this may not always be true, remember that grad schools are looking to make many year investments in people and have generally found that people who have had experiences analogous to what they will experience in grad school, will be more likely to stay in grad school when many things that can go wrong, do go wrong.
- Does the essay begin in an interesting manner? Is motivation clear? (remember that motivation doesn't have to be amazing, but it needs to be there and must sound sincere)
- Details sell. Do not write out your CV. Choose one or two experiences that were particularly meaningful and/or can illustrate qualities that you want the admissions committee to know.
- Tell the story (what happened)
- Does the applicant sound clear and certain about their future?
- Tell what you learned (what you got out of it)
- Tell how what you learned applies to success in grad school or in your profession (why it matters)
- Does the applicant sound focused and enthusiastic about the field? Where?
- Does the applicant include attributes that indicate preparation for graduate school as well as potential for the same?
- Again, are achievements and experiences included? Are achievements and experiences presented in stories with clear lessons that include overtly stated application to graduate/professional success?
- Are there cliches, platitudes, quotes or other distracting, empty phrases used? Don’t use them.
- Are vivid, strong vocabulary words used? Are there places where weak or over-used words are used? Just make sure to not use your thesaurus, it can be off-putting to see vocabulary that doesn't seem to fit.
References
Schafer, M.S. Writing the research report. Retrieved from http://users.clas.ufl.edu/msscha/psych/personal_statement.html