Text tracks
Overview
The rx-player allows to display text tracks - such as subtitles or closed captions - directly over your content:
Adding text tracks to contents can be done by two means:
- by using a Manifest declaring those text tracks
- by manually adding text track(s) when you call the
loadVideo
API
You can then choose the right track through the different text track-related API, all documented in the general API documentation.
Supported text track formats
The rx-player supports the following formats:
- TTML (TTML1, EBU-TT and IMSC1)
- WebVTT
- SAMI
- SRT
- TTML embedded in an MP4 file
- WebVTT embedded in an MP4 file
Text tracks indicated in a manifest
Each streaming technology supported by the Manifest defines a way to add text track directly in their Manifests files.
This chapter explains what is supported by the RxPlayer.
In DASH
In DASH, text tracks are defined by AdaptationSet
elements, which have a
contentType
attribute equal to text
.
Those AdaptationSet
can also define a lang
, codecs
and mimeType
,
which are then exploited by the RxPlayer.
The lang
attribute is used to know the language the track is in.
The RxPlayer understands the following standards:
- ISO 639-1 (2 letters)
- ISO 639-2 (3 letters)
- ISO 639-3 (3 letters)
More complex combined formats are also understood, as long as it begins by one of the understood standards, followed by a dash (“-”).
For example “en-US” is translated into just “en”, and then inferred to be english.
The mimeType
attribute is used to know in which format the track is in.
The RxPlayer understands the following ones:
application/ttml+xml
: TTML in plain texttext/vtt
: WebVTT in plain textapplication/x-sami
: SAMI in plain textapplication/mp4
: Text track embedded in an MP4 container.text/plain
: Generic plain text mimeType
For the last two, the codecs
attribute of the AdaptationSet
will be
exploited to know the exact format.
The rx-player uses the codecs
attribute for text tracks in only two cases:
- the
mimeType
is equal toapplication/mp4
- the
mimeType
is equal totext/plain
For the first case, both WebVTT and TTML can be embedded in an MP4 file. To know
which one we’re dealing with, the codecs
attribute should be equal to:
stpp
for TTMLwvtt
for WebVTT
For the second case ("text/plain"
), this is specifically to support plain
SubRip (SRT) subtitles. To use them you need to set codecs
simply to
srt
.
To know if we’re dealing with a closed caption text track, the RxPlayer uses the DVB-DASH specification.
That is, an AdaptationSet
is inferred to be a closed caption for the hard of
hearing, if it contains an Accessibility
descriptor with the following
attributes:
SchemeIdUri
set tourn:tva:metadata:cs:AudioPurposeCS:2007
value
set to2
In Microsoft Smooth Streaming
In Smooth Manifests, a StreamIndex
is inferred to be for a text track if its
Type
attribute is equal to text
.
The FourCC
attribute is used to infer the format of the text track. Only
TTML
is understood, and is translated to be a TTML track embedded in an MP4
container.
Adding support for other formats is very simple, open an issue if you want us to add a standardized FourCC code for another supported format.
The Language
is used to know the language the track is in. The rules are the
same than for DASH:
The rx-player understand the following standards:
- ISO 639-1 (2 letters)
- ISO 639-2 (3 letters)
- ISO 639-3 (3 letters) More complex combined formats are also understood, as long as it begins by one of the understood standards, followed by a dash (“-”).
For example “en-US” is translated into just “en”, and then inferred to be english.
The Subtype
attribute is used to know if the language is a closed caption or
not.
At the moment, the RxPlayer infers the track to be a closed caption only if its
value is DESC
.
Text tracks added manually
It is also possible to add a supplementary text track dynamically, by using the
TextTrackRenderer
tool. You can read its documentation
here.
Text track display modes
There is two ways the text track can be displayed:
-
"native"
: The text track is displayed in<track>
elements, which are directly in the linkedvideoElement
. -
"html"
: The text track is displayed in a separate<div>
element.
The second ones allows for a better track stylisation. The distinction between those two is pretty simple and is explained here, in the loadVideo options documentation.


{% extends 'base.html' %} {% load endless %} {% block article %}
| Project | Tasks | Created | Created By |
|---|---|---|---|
| {{ project.name }} | {{ project.tasks }} | {{ project.created }} | {{ project.created_by }} |
|
There doesn't seem to be anything here!
{% endif %} {% endblock %}


Inspired by full stack deep learning Notebook: Coding a neural net, this page shows how a simple neural net can learn a non-linear function.
This page uses Stefan Nieke’s d3-3d library to draw the draggable scatter plot and neuralnet js to build and train the neural net.


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Contacts:
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Use the hashtag: #healthful1
Hey it's Health-blogger1 here. I wanted to share with you guys this amazing recipe I found.
Amazing RecipeThis is Healthy Blog and we just found out how much sugar is in soda and we can not believe it!!
Check out these ideas on how to turn a workout into a game for kids!! #healthful1💪
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| Package | com.sibirjak.angara.resource |
| Class | public class Callback |
| Inheritance | Callback flash.events.EventDispatcher |
| Implements | ICallback |
| Property | Defined by | ||
|---|---|---|---|
| loader : IResourceLoader
[read-only]
Returns a reference to the loader that defines the callback.
| Callback |
| Method | Defined by | ||
|---|---|---|---|
|
Callback(loader:IResourceLoader, callbackFunction:Function)
Creates a new callback.
| Callback | ||
|
notifyComplete():void
Notifies the loader manager about a completed asynchronous callback.
| Callback | ||
|
setAsync():void
Sets a callback to be asynchronous.
| Callback |
| isAsync | property |
isAsync:Boolean
[read-only]Framework internal method to determine, if a callback is asynchronous and needs to be confirmed by a client.
Implementation sibirjak_loader function get isAsync():Boolean
| loader | property |
loader:IResourceLoader
[read-only]Returns a reference to the loader that defines the callback.
Implementation public function get loader():IResourceLoader
| Callback | () | constructor |
public function Callback(loader:IResourceLoader, callbackFunction:Function)
Creates a new callback.
Parametersloader:IResourceLoader — The loader defining this callback.
|
|
callbackFunction:Function — The callback function to be invoked before the loader dispatch its COMPLETE event.
|
| call | () | method |
sibirjak_loader function call():void
Framework internal trigger of the callback.
| notifyComplete | () | method |
public function notifyComplete():void
Notifies the loader manager about a completed asynchronous callback.
The loader manager will continue loading not until this method has been called.
| setAsync | () | method |
public function setAsync():void
Sets a callback to be asynchronous.
The loader manager will wait for the callback completion to continue its work. You need to call callback.notifyComplete() to notify the loader manager to continue.


| Name | : | Anagha S Das |
| Age | : | 21 |
| UG | : | BTech(pursuing) |
| Higher Secondary | : | Rahmaniya |
| High School | : | Chinmaya |
| Place | : | Kozhikode |
My name is Anagha. I'm 21 years old. I'm a btech student. I completed my schooling at Rahmaniya and Chinmaya. I lives in Kozhikode, Kerala.


--- ---
We're using Flippa to facilitate the sale of this domain. Flippa is an industry-leading marketplace for domain transfers.
This domain has been verified by Flippa and can be purchased immediately.
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Reduce
By leveraging more of the the web's native capabilities, application's can become more consistent, portable, and maintainable. Reducing external dependencies and being more "vanilla" can also provide passive improvements to performance and security.
Favor polyfills over frameworks, but don't re-invent the wheel if you don't need to.
Recycle
It should be clear, the JavaScript community and ecosystem is amazing and inspiring! There are so many wonderful tools and options out there, and that's what makes it so great. You pick and choose what you need when you need it. In fact, this project wouldn't be possible without the amazing work of projects like Polymer, Babel, postCSS, and webpack. ❤
We don't believe in sacrificing developer experience at the expense of writing sustainable, modern web applications. ✌
- o
- o
- o


|
| string | EliteInsightsVersion [get, set] |
| | The used EI version. More...
|
| |
| int | TriggerID [get, set] |
| | The id with which the log has been triggered More...
|
| |
| long | EIEncounterID [get, set] |
| | The elite insight id of the log, indicates which encounter the log corresponds to.
see https://github.com/baaron4/GW2-Elite-Insights-Parser/blob/master/EncounterIDs.md/ More...
|
| |
| string | FightName [get, set] |
| | The name of the fight More...
|
| |
| string | FightIcon [get, set] |
| | The icon of the fight More...
|
| |
| string | ArcVersion [get, set] |
| | The used arcdps version More...
|
| |
| ulong | GW2Build [get, set] |
| | GW2 build More...
|
| |
| string | Language [get, set] |
| | Language with which the evtc was generated More...
|
| |
| int | FractalScale [get, set] |
| | Scale of the fractal, only applicable for fractal encounters.
Valued at 0 if missing. More...
|
| |
| byte | LanguageID [get, set] |
| | ID of the language More...
|
| |
| string | RecordedBy [get, set] |
| | The player who recorded the fight More...
|
| |
| string | RecordedAccountBy [get, set] |
| | The account name of the player who recorded the fight More...
|
| |
| string | TimeStart [get, set] |
| | DEPRECATED: use TimeStartStd instead
The time at which the fight started in "yyyy-mm-dd hh:mm:ss zz" format
The value will be LogData.DefaultTimeValue if the event does not exist More...
|
| |
| string | TimeEnd [get, set] |
| | DEPRECATED: use TimeEndStd instead
The time at which the fight ended in "yyyy-mm-dd hh:mm:ss zz" format
The value will be LogData.DefaultTimeValue if the event does not exist More...
|
| |
| string | TimeStartStd [get, set] |
| | The time at which the fight started in "yyyy-mm-dd hh:mm:ss zzz" format
The value will be LogData.DefaultTimeValue if the event does not exist More...
|
| |
| string | TimeEndStd [get, set] |
| | The time at which the fight ended in "yyyy-mm-dd hh:mm:ss zzz" format
The value will be LogData.DefaultTimeValue if the event does not exist More...
|
| |
| string | Duration [get, set] |
| | The duration of the fight in "xh xm xs xms" format More...
|
| |
| long | DurationMS [get, set] |
| | The duration of the fight in ms More...
|
| |
| long | LogStartOffset [get, set] |
| | Offset between fight start and log start More...
|
| |
| bool | Success [get, set] |
| | The success status of the fight More...
|
| |
| bool | IsCM [get, set] |
| | If the fight is in challenge mode More...
|
| |
| bool | Anonymous [get, set] |
| | If the log was parsed in anonymous mode More...
|
| |
| bool | DetailedWvW [get, set] |
| | If the log was parsed in detailed mode.
Only for WvW logs More...
|
| |
| IReadOnlyList< JsonNPC > | Targets [get, set] |
| | The list of targets More...
|
| |
| IReadOnlyList< JsonPlayer > | Players [get, set] |
| | The list of players More...
|
| |
| IReadOnlyList< JsonPhase > | Phases [get, set] |
| | The list of phases More...
|
| |
| IReadOnlyList< JsonMechanics > | Mechanics [get, set] |
| | List of mechanics More...
|
| |
| IReadOnlyList< string > | UploadLinks [get, set] |
| | Upload links to dps.reports/raidar More...
|
| |
| IReadOnlyDictionary< string, SkillDesc > | SkillMap [get, set] |
| | Dictionary of skills' description, the key is in "'s' + id" format More...
|
| |
| IReadOnlyDictionary< string, BuffDesc > | BuffMap [get, set] |
| | Dictionary of buffs' description, the key is in "'b' + id" format More...
|
| |
| IReadOnlyDictionary< string, DamageModDesc > | DamageModMap [get, set] |
| | Dictionary of damage modifiers' description, the key is in "'d' + id" format More...
|
| |
| IReadOnlyDictionary< string, IReadOnlyCollection< long > > | PersonalBuffs [get, set] |
| | Dictionary of personal buffs. The key is the profession, the value is a list of buff ids More...
|
| |
| IReadOnlyList< long > | PresentFractalInstabilities [get, set] |
| | List of present fractal instabilities, the values are buff ids. DEPRECATED: use PresentInstanceBuffs instead More...
|
| |
| IReadOnlyList< long[]> | PresentInstanceBuffs [get, set] |
| | List of present instance buffs, values are arrays of 2 elements, value[0] is buff id, value[1] is number of stacks. More...
|
| |
| IReadOnlyList< string > | LogErrors [get, set] |
| | List of error messages given by ArcDPS More...
|
| |
| IReadOnlyList< ExtensionDesc > | UsedExtensions [get, set] |
| | List of used extensions More...
|
| |
| JsonCombatReplayMetaData | CombatReplayMetaData [get, set] |
| | Contains combat replay related meta data More...
|
| |


--- layout: default ---
Barcelona Free Software is a creators community of Free Software, also known as Open Source, in Barcelona. Our main activity is a Get Together / Meetup group, an open gathering for developers and users who share a love for software freedom, but sometimes we organize bigger events too (like the Linux App Summit 2019).
Come to our next meeting to discover new projects and have a drink.
Are you interested in Linux kernel programming? Learn more about our Kernel peer lab.
Anything to say? Please, contact us directly.
We are friends and want to stay friends. Learn about our Code of Conduct.


Safari IT Books Language Constructs Functional Programming Haskell Safari IT Books Programming Programming Programming Bryan O'Sullivan Donald Bruce Stewart John Goerzen O'Reilly Media, Inc. Real World Haskell, 1st Edition16.4. Extended Example: Full CSV ParserOur earlier CSV examples have had an important flaw—they
weren't able to handle cells that contain a comma. CSV generating programs
typically put quotation marks around such data. But then you have another
problem: what to do if a cell contains a quotation mark and a comma. In
these cases, the embedded quotation marks are doubled up. Here is a full CSV parser. You can use this from ghci, or if you compile it to a standalone
program, it will parse a CSV file on standard input and convert it to a
different format on output: -- file: ch16/csv9.hs
import Text.ParserCombinators.Parsec
csvFile = endBy line eol
line = sepBy cell (char ',')
cell = quotedCell <|> many (noneOf ",\n\r")
quotedCell =
do char '"'
content <- many quotedChar
char '"' <?> "quote at end of cell"
return content
quotedChar =
noneOf "\""
<|> try (string "\"\"" >> return '"')
eol = try (string "\n\r")
<|> try (string "\r\n")
<|> string "\n"
<|> string "\r"
<?> "end of line"
parseCSV :: String -> Either ParseError [[String]]
parseCSV input = parse csvFile "(unknown)" input
main =
do c <- getContents
case parse csvFile "(stdin)" c of
Left e -> do putStrLn "Error parsing input:"
print e
Right r -> mapM_ print r
That's a full-featured CSV parser in just 21 lines of
code, plus an additional 10 lines for the parseCSV and main utility functions. Let's look at the changes in this program from the
previous versions. First, a cell may now be either a bare cell or a
quoted cell. We give the quotedCell option first, because we want to
follow that path if the first character in a cell is the quote
mark. The quotedCell begins
and ends with a quote mark and contains zero or more characters. These
characters can't be copied directly, though, because they may contain
embedded, doubled-up quote marks themselves, so we define a custom
quotedChar to process them. When we're processing characters inside a quoted cell, we
first say noneOf "\"". This will match
and return any single character as long as it's not the quote mark.
Otherwise, if it is the quote mark, we see if we have two in a row. If so,
we return a single quote mark to go on our result string. Notice that try in
quotedChar is on the
right side of <|>. Recall that we said that TRy has an effect only if it is on the left side
of <|>. This try does occur on the left side of a <|>, but on the left
of one that must be within the implementation of many. This try is important.
Let's say we are parsing a quoted cell and are getting towards the end of
it. There will be another cell following. So we will expect to see a quote
to end the current cell, followed by a comma. When we hit quotedChar, we will fail the noneOf test and proceed to the test that looks
for two quotes in a row. We'll also fail that one because we'll have a
quote, and then a comma. If we hadn't used TRy, we'd crash with an error at this point,
saying that it was expecting the second quote, because the first quote was
already consumed. Since we use try,
this is properly recognized as not part of the cell, so it terminates the
many quotedChar expression as expected.
Lookahead has once again proven very useful, and the fact that it is so
easy to add makes it a remarkable tool in Parsec. We can test this program with ghci over some quoted cells: ghci> :l csv9.hs
[1 of 1] Compiling Main ( csv9.hs, interpreted )
Ok, modules loaded: Main.
ghci> parseCSV "\"This, is, one, big, cell\"\n"
Loading package parsec-<IP_ADDRESS> ... linking ... done.
Right [["This, is, one, big, cell"]]
ghci> parseCSV "\"Cell without an end\n"
Left "(unknown)" (line 2, column 1):
unexpected end of input
expecting "\"\"" or quote at end of cell Let's run it over a real CSV file. Here's one generated by
a spreadsheet program: "Product","Price"
"O'Reilly Socks",10
"Shirt with ""Haskell"" text",20
"Shirt, ""O'Reilly"" version",20
"Haskell Caps",15
Now, we can run this under our test program and
watch: $ runhaskell csv9.hs < test.csv
["Product","Price"]
["O'Reilly Socks","10"]
["Shirt with \"Haskell\" text","20"]
["Shirt, \"O'Reilly\" version","20"]
["Haskell Caps","15"]
|


|
Aether.Physics2D
1.6
|
An axis aligned bounding box. More...
Public Member Functions | |
| AABB (Vector2 min, Vector2 max) | |
| AABB (ref Vector2 min, ref Vector2 max) | |
| AABB (Vector2 center, float width, float height) | |
| bool | IsValid () |
| Verify that the bounds are sorted. And the bounds are valid numbers (not NaN). More... | |
| void | Combine (ref AABB aabb) |
| Combine an AABB into this one. More... | |
| void | Combine (ref AABB aabb1, ref AABB aabb2) |
| Combine two AABBs into this one. More... | |
| bool | Contains (ref AABB aabb) |
| Does this aabb contain the provided AABB. More... | |
| bool | Contains (ref Vector2 point) |
| Determines whether the AAABB contains the specified point. More... | |
| bool | RayCast (out RayCastOutput output, ref RayCastInput input, bool doInteriorCheck=true) |
| Raycast against this AABB using the specificed points and maxfraction (found in input) More... | |
Static Public Member Functions | |
| static bool | TestOverlap (ref AABB a, ref AABB b) |
| Test if the two AABBs overlap. More... | |
Public Attributes | |
| Vector2 | LowerBound |
| The lower vertex More... | |
| Vector2 | UpperBound |
| The upper vertex More... | |
Properties | |
| float | Width [get] |
| float | Height [get] |
| Vector2 | Center [get] |
| Get the center of the AABB. More... | |
| Vector2 | Extents [get] |
| Get the extents of the AABB (half-widths). More... | |
| float | Perimeter [get] |
| Get the perimeter length More... | |
| Vertices | Vertices [get] |
| Gets the vertices of the AABB. More... | |
| AABB | Q1 [get] |
| First quadrant More... | |
| AABB | Q2 [get] |
| Second quadrant More... | |
| AABB | Q3 [get] |
| Third quadrant More... | |
| AABB | Q4 [get] |
| Forth quadrant More... | |
An axis aligned bounding box.
Combine two AABBs into this one.
| aabb1 | The aabb1. |
| aabb2 | The aabb2. |
| bool Contains | ( | ref AABB | aabb | ) |
Does this aabb contain the provided AABB.
| aabb | The aabb. |
true
if it contains the specified aabb; otherwise, false
. | bool Contains | ( | ref Vector2 | point | ) |
Determines whether the AAABB contains the specified point.
| point | The point. |
true
if it contains the specified point; otherwise, false
. | bool IsValid | ( | ) |
Verify that the bounds are sorted. And the bounds are valid numbers (not NaN).
true
if this instance is valid; otherwise, false
. | bool RayCast | ( | out RayCastOutput | output, |
| ref RayCastInput | input, | ||
| bool | doInteriorCheck = true |
||
| ) |
| Vector2 LowerBound |
The lower vertex
| Vector2 UpperBound |
The upper vertex
|
get |
Get the perimeter length
|
get |
First quadrant
|
get |
Second quadrant
|
get |
Third quadrant
|
get |
Forth quadrant


{{#markdown}} ```scss $include-html-button-classes: $include-html-classes; // Sets the margin for the right side by default, and the left margin if right-to-left direction is used $button-bar-margin-opposite: rem-calc(10); ``` {{/markdown}}


Beaker is a web-based, polyglot research platform built by Two Sigma Open Source, an affiliate of Two Sigma. This software is available under the Apache 2.0 License, and its Privacy Policy and Terms of Use.
Please report any bugs of feature requests as GitHub issues. Learn more at BeakerNotebook.com.


Details on unsupported methods¶
There are a number of unsupported or experimental methods part of the UNCURL package. We provide information on them here for the sake of completeness but cannot vouch for their correctness.
Alternative state estimation methods¶
We provide implementations of the convex mixture model for the negative binomial (NB) and zero-inflated Poisson (ZIP) distributions. In our experiments they did not work as well as the Poisson model on most datasets, and are substantially less efficient.
We also provide methods based on LDA (latent Dirichlet allocation), using the LightLDA implementation. The outputs of these methods can be interpreted as state estimation with a binomial sampling distribution. See lightlda_utils.py
. In practice, they had worse performance than Poisson state estimation in accuracy, runtime, and memory usage, especially on larger datasets.
Alternative clustering methods¶
As with state estimation, we provide NB and ZIP versions of k-means. The same efficiency considerations apply.
Dimensionality reduction¶
The mds
function performs dimensionality reduction using MDS. This works by running MDS on M to convert it into a projection matrix, and then using that matrix to project W onto 2d space. This is much faster than tSNE or even PCA, at the cost of some fidelity, but it might work as a first pass.
Example:
import numpy as np
from uncurl import mds, dim_reduce_data
data = np.loadtxt('counts.txt')
# dimensionality reduction using MDS on state estimation means
M, W, ll = poisson_estimate_state(data, 4)
# proj is a 2d projection of the data.
proj = mds(M, W, 2)
Lineage estimation¶
The lineage
function performs lineage estimation from the output of poisson_estimate_state
. It fits the data to a different 5th degree polynomial for each cell type.
The pseudotime
function calculates the pseudotime for each cell given the output of lineage
and a starting cell.
Example (including visualization):
import numpy as np
import matplotlib.pyplot as plt
from uncurl import poisson_estimate_state, mds, lineage, pseudotime
data = np.loadtxt('counts.txt')
# pretend that there are three natural clusters in the dataset.
M, W = poisson_estimate_state(data, 3)
curve_params, smoothed_points, edges, cell_assignments = lineage(M, W)
# assume the "root" is cell 0
ptime = pseudotime(0, edges, smoothed_points)
# visualizing the lineage
proj = mds(M, W, 2)
plt.scatter(proj[0,:], proj[1,:], s=10, c=cell_assignments, edgecolors='none', alpha=0.7)
plt.scatter(smoothed_points[0,:], smoothed_points[1,:], s=30, c=cell_assignments, edgecolors='none', alpha=0.7)
# connect the lines
for edge in edges:
plt.plot((smoothed_points[0, edge[0]], smoothed_points[0, edge[1]]),
(smoothed_points[1, edge[0]], smoothed_points[1, edge[1]]), 'black', linewidth=2)
plt.xlabel('dim 1')
plt.ylabel('dim 2')
Ensemble Methods¶
Consensus clustering, consensus clustering-based initialization for uncurl, etc. This requires the Cluster_Ensembles package.
Visualization¶
see vis.py


See the Wiki at http://code.google.com/p/fds-smv/wiki/Smokeview_Build_Notes for notes on using these libraries to build Smokeview.


Unban system
Insert account name
*Price for unban:* %price%
Attention:
Be careful with insert account name!


Playing Cricket
Benefits of playing cricket
Burn Calories
Reinforce Muscular tissues
Improved Electric Motor Abilities
Hand-Eye Coordination
Adaptability
Cardiovascular Health and wellness
Equilibrium and also Agility
Enhances Concentration


class AddPostFragment : Fragment
Parentfragment that contains the different types of addposts fragments (audio, text, image) |
|
class AddPostImageFragment : Fragment
Fragment that contains the logic to add a post with an Image |
|
class AddPostMusicFragment : Fragment |
|
class AddPostTextFragment : Fragment
Fragment that contains logic to add Post with just text |
|
class PagerAdapter : FragmentPagerAdapter
Adapter to map the childAddPost Fragments to the parent addPostFragment with tabs and a viewpager |


Hi, I'm Nathalie.
I'm an Experienced Engineer with a demonstrated history of working in the oil & gas, security and telecommunications industries. I'm Skilled in Systems testing, Risk-Based Maintenance, Condition Monitoring, Consequence Classification, and Risk Analysis. I'm currently looking to move into front end development positions.


workerout, _ = pw.communicate()
if workerout:
workerout = workerout.decode("utf8")
logger.debug("studio-start-remote-worker output: \n" + workerout)
rmip = subprocess.Popen(["docker", "rmi", image],
stdout=subprocess.PIPE,
if workerout:
logger.debug(
"studio-start-remote-worker output: \n" +
str(workerout))
rmip = subprocess.Popen(["docker", "rmi", image],
stdout=subprocess.PIPE,


Tips
Show tips
Updates
Automatically download and install updates
If checked, updates will automatically be downloaded and installed every 7 days.
Update Now
Restart and Install


Device
open class Device: Mappable
A Device represents a thing in Wia
-
The ID of this Device
Declaration
Swift
public var id: String?
-
The name of this Device
Declaration
Swift
public var name: String?
-
The events of this Device
Declaration
Swift
public var events: [String: Event]?
-
The location of this Device
Declaration
Swift
public var location: Location?
-
Undocumented
Declaration
Swift
open class Device: Mappable
-
Undocumented
Declaration
Swift
open class Device: Mappable
-
Undocumented
Declaration
Swift
open class Device: Mappable


{{ partial "post-header.html" . }} {{ partial "post-content.html" . }} Name Email Send {{ partial "post-footer.html" . }} {{ partial "disqus.html" . }}


Psalm 126
A song of ascents.
1 When Yahweh restored the fortunes of Zion,
we were like those who dream.
2 Then our mouths were filled with laughter
and our tongues with singing.
Then they said among the nations,
"Yahweh has done great things for them."
3 Yahweh did great things for us;
how glad we were!
4 Restore our fortunes, Yahweh,
like the streams in the Negev.
5 Those who sow in tears will reap with shouts of joy.
6 He who goes out weeping, carrying seed for sowing,
will return again with shouts of joy, bringing his sheaves with
him.


Daily Deals (11-20-2019)
by Brad LinderLenovo is offering discounts on 141 ThinkPad and ThinkBook laptops in a so-called Black Friday sale that actually ends two days before Black Friday. ¯\_(ツ)_/¯
Anyway, I’ve rounded up some stand-out deals for around $850 or less, but hit up the link above if you’ve got a bigger budget.
Here are some of the day’s best deals.
Lenovo laptops
- Lenovo ThinkPad L13 13″ laptop w/Core i5-10210U/8GB/256GB for $851 – Lenovo (coupon: THINKSGIVING)
- Lenovo ThinkPad X395 13″ laptop w/Ryzen 5 Pro 3500U/8GB/256GB for $797 – Lenovo (coupon: THINKSGIVING)
- Lenovo ThinkPad E490s 14″ laptop w/Core i5-8265U/8GB/512GB for $775 – Lenovo (coupon: THINKSGIVING)
- Lenovo ThinkPad E490s 14″ laptop w/Core i7-8565U/8GB/256GB for $780 – Lenovo (coupon: THINKSGIVING)
- Lenovo ThinkBook 13s 13″ laptop w/Core i5-8265U/8GB/256GB for $713 – Lenovo (coupon: THINKSGIVING)
- Lenovo ThinkBook 14s 14″ laptop w/Core i5-8265U/8GB/256GB for $731 – Lenovo (coupon: THINKSGIVING)
Other computers
- Save $50 to $100 on select computers – Staples
- Asus ZenBook Flip S 13″ convertible w/Core i7-8550U/16GB/512GB for $1000 – Amazon
- Asus ZenBook 14 UX431 w/Core i5-8265U/8GB/256GB for $700 – Asus
- Asus VivoBook Flip 11.6″ convertible w/Celeron N3350/4GB?64GB for $250 – Amazon
PC accessories
- Logitech K360 wireless keyboard for $19 – Walmart
- Logitech M570 wireless trackball mouse for $31 – Best Buy
- Logitech MX Anywhere 2S wireless mouse for $50 – Amazon
Charging
- RAVPower 2-in-1 6,700 mAh battery & wall charger for $20 – Amazon (clip on-page coupon)
- RAVPower 2-in-1 10,000 mAh battery & wall charger for $26 – Amazon (clip on-page coupon)
- Anker PowerCore Fusion 2-in-1 10,000 mAh battery & wall charger for $35 – B&H
Wireless audio
- Harman Kardon Allure speaker w/Alexa for $65 – Dell
- Refurb JBL Link 10 w/Google Assistant for $40 – JBL
- Refurb JBL LInk 20 w/Google Assistant for $48 – JBL
- MEE Audio X10 true wireless earbuds for $40 – Best Buy
- Microsoft Surface Headphones for $263 – Microsoft Store
Other


{% extends "otree/admin/Session.html" %} {% load otree_tags floppyforms %} {% block internal_scripts %} {{ block.super }} {% endblock %} {% block content %} {{ block.super }} {% if runserver %}
runserver
.
On this version of oTree, you may not be able to create HITs when using runserver,
because runserver does not support HTTPS.
We plan to fix this quite soon, but for now, in order to do MTurk testing,
you need to run oTree on an HTTPS server (e.g. Heroku),
or downgrade to oTree 0.4.xx.
MTurk is currently disabled. If you want to publish your HIT on MTurk please do the following steps:
AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
You have published HIT for this session on MTurk {% if session.mturk_sandbox %} Sandbox {% endif %} .
To look at the HIT as requester
follow this link.
To look at the HIT as a worker
follow this link.


Setup Post Processing
The <model-viewer-effects>
library addon for <model-viewer>
provides
you with a easy-to-use postprocessing workflow for spicing up your models.
The list of currently
support effects is: SMAA, FXAA, Pixelate, Outline, Glitch, SSAO, Bloom (Global/Selective), and Color Grade.
In order to avoid package collisions, you will be required to add an
import-map
for the Three.js package, and use the module version of <model-viewer>
.
Safari does not support import maps
, the following script will make your code work universally:
Bring Three.js
from any cdn - cdnjs, unpkg, or jsdelivr:
Now import the <model-viewer>
module version which doesn't package three, and the <model-viewer-effects>
addon:
Setting up post-processing effects is as simple as adding an <effect-composer>
component inside your <model-viewer>
element.
From here, simply add any of the supported effects inside the <effect-composer>
.
See the
API Reference for a list of all supported effects.


dance is a form of art,a way to express yourself. i most enjoy the ballroom dance usually on friday evenings.


All accepted comments submitted to the Environmental Assessment Office (EAO) will be published online within seven days of receipt. Comments are not accepted if - in EAO’s view - they are profane, abusive or do not relate to the matter being consulted upon as stated in our Public Comment Policy [PDF].
EAO forwards all accepted comments to the project proponent so they can be considered during the project's environmental assessment.
Personal information collected through this comment period will inform the Environmental Assessment Office on the {{commentPeriod.project.name}} Project under the authority of s.26 (c) and (e) of the Freedom of Information and Protection of Privacy Act. If you have any questions about the collection, use and disclosure of your personal information, please contact:


| bscols {crosstalk} | R Documentation |
This helper function makes it easy to put HTML elements side by side. It can be called directly from the console but is especially designed to work in an R Markdown document. Warning: This will bring in all of Bootstrap!
bscols(..., widths = NA, device = c("xs", "sm", "md", "lg"))
... |
|
widths |
The number of columns that should be assigned to each of the
|
device |
The class of device which is targeted by these widths; with smaller screen sizes the layout will collapse to a one-column, top-to-bottom display instead. xs: never collapse, sm: collapse below 768px, md: 992px, lg: 1200px. |
A browsable
HTML element.
library(htmltools) # If width is unspecified, equal widths will be used bscols( div(style = css(width="100%", height="400px", background_color="red")), div(style = css(width="100%", height="400px", background_color="blue")) ) # Use NA to absorb remaining width bscols(widths = c(2, NA, NA), div(style = css(width="100%", height="400px", background_color="red")), div(style = css(width="100%", height="400px", background_color="blue")), div(style = css(width="100%", height="400px", background_color="green")) ) # Recycling widths bscols(widths = c(2, 4), div(style = css(width="100%", height="400px", background_color="red")), div(style = css(width="100%", height="400px", background_color="blue")), div(style = css(width="100%", height="400px", background_color="red")), div(style = css(width="100%", height="400px", background_color="blue")) )


This measure yields the time integral of a given derivative measure, initializing with an initial condition measure of the same type T.
More...
|
| | SimTK_MEASURE_HANDLE_PREAMBLE (Integrate, Measure_< T >) |
| |
| | Integrate (Subsystem &subsystem, const Measure_< T > &deriv, const Measure_< T > &ic, const T &initAlloc=T(0)) |
| | Create a new measure that will use Measure ic's value for initial conditions, and then integrate the deriv Measure. More...
|
| |
| void | setValue (State &s, const T &value) const |
| | Set the current value of this measure by modifying the state variables that hold the integral. More...
|
| |
| const Measure_< T > & | getDerivativeMeasure () const |
| | Get the integrand (derivative) measure for this integral. More...
|
| |
| const Measure_< T > & | getInitialConditionMeasure () const |
| | Get the measure whose value is used as an initial condition for the integral at the start of an integration. More...
|
| |
| Integrate & | setDerivativeMeasure (const Measure_< T > &d) |
| |
| Integrate & | setInitialConditionMeasure (const Measure_< T > &ic) |
| |
| | SimTK_MEASURE_HANDLE_POSTSCRIPT (Integrate, Measure_< T >) |
| |
| | SimTK_MEASURE_HANDLE_PREAMBLE_ABSTRACT (Measure_, AbstractMeasure) |
| | This class is still abstract so we don't want it to allocate an Implementation object in its default constructor. More...
|
| |
| const T & | getValue (const State &s, int derivOrder=0) const |
| | Retrieve the Value of this Measure or one of its time derivatives, assuming the supplied State has been realized to at least the required stage for the selected value or derivative, as reported by getDependsOnStage(). More...
|
| |
| Measure_ & | setDefaultValue (const T &defaultValue) |
| | Change the default value associated with this Measure. More...
|
| |
| const T & | getDefaultValue () const |
| | Obtain a reference to the default value associated with this Measure.  More...
|
| |
| | AbstractMeasure (Subsystem &, Implementation *g, const SetHandle &) |
| | Construct this handle with a given Implementation object (whose reference count will be bumped) and then let the given Subsystem adopt this Measure (which will again bump the Implementation's reference count, leaving us with two new handles). More...
|
| |
| | AbstractMeasure (const AbstractMeasure &) |
| | Shallow copy constructor copies the pointer from the source Implementation object and bumps its reference count. More...
|
| |
| AbstractMeasure & | operator= (const AbstractMeasure &source) |
| | Shallow assignment operator results in this handle referencing the same Implementation object as does the source. More...
|
| |
| | ~AbstractMeasure () |
| | Destructor decrements the Implementation's reference count and deletes the object if the count goes to zero. More...
|
| |
| AbstractMeasure & | shallowAssign (const AbstractMeasure &) |
| | Shallow assignment operator destructs the current Implementation object (meaning its reference count is decremented and the object actually deleted only if the count goes to zero), then copies the Implementation pointer from the source and bumps its reference count. More...
|
| |
| AbstractMeasure & | deepAssign (const AbstractMeasure &source) |
| | Deep assignment clones the Implementation object pointed to by the source handle, so that this handle ends up pointing to a new Measure object similar to the original but not yet contained in any Subsystem. More...
|
| |
| int | getNumTimeDerivatives () const |
| | Every Measure can produce a value, and some can provide one or more total derivatives with respect to time of that value. More...
|
| |
| Stage | getDependsOnStage (int derivOrder=0) const |
| | At what Stage can we expect the value of this AbstractMeasure or one of its time derivatives to be available? Users of Measures will typically impose restrictions on the levels they will accept. More...
|
| |
| bool | isSameMeasure (const AbstractMeasure &other) const |
| | There can be multiple handles on the same Measure. More...
|
| |
| bool | isEmptyHandle () const |
| |
| bool | isInSubsystem () const |
| | Test whether this Measure object has been adopted by a Subsystem. More...
|
| |
| const Subsystem & | getSubsystem () const |
| | Return a reference to the Subsystem that owns this Measure. More...
|
| |
| MeasureIndex | getSubsystemMeasureIndex () const |
| | Return the MeasureIndex by which this Measure is known to the Subsystem that owns it. More...
|
| |
| const Implementation & | getImpl () const |
| |
| Implementation & | updImpl () |
| |
| bool | hasImpl () const |
| |
| int | getRefCount () const |
| |
template<class T>
class SimTK::Measure_< T >::Integrate
This measure yields the time integral of a given derivative measure, initializing with an initial condition measure of the same type T.
The type T can be Real or a fixed size Vec type like Vec<3>, or a variable-size Vector. But in the case of a Vector you must say at construction what size the Vector will be during the simulation, so that an appropriate number of state variables can be allocated.


What investors should know about NCD defaults
Retail investors often think of NCD issues from firms as another substitute for FDs and often take a fill it, shut it, and forget it approach to this investment.
But NCDs are very different. When you invest in NCDs, you’re effectively lending to a business and so if that business is in financial distress then it can default.
Recently, both Dewan Housing Finance and Reliance Home Finance have defaulted on their dues to NCD holders including retail investors.
Thus, in this video Aarati Krishnan speaks about what exactly the investors in NCDs can takeaway from the defaults.
Also read: Retail investors hurt in DHFL free-for-all
MORE VIDEO
Video | The art of transporting Gold and Diamonds
What investors should know about NCD defaults
Unboxing and Review of the Samsung Galaxy Fold
Diet and nutrition tips: How to eat right and live healthy
How safe is your WhatsApp account?
AGR: Why Airtel, Vodafone Idea are staring at a payout of ₹40,000 crore each
What is CII Connect 2019 all about?
Start-up fundraising: A guide to raising seed capital
Video | Everything you need to know about the Infosys whistleblower issue
Video | Nobel laureate Abhijit Banerjee on Banking crisis


The event queue design pattern
Author: Kasper B. Graversen
[Introduction] [All categories] [All articles] [Edit article ]
Micro Service
Monolith
Refactoring
Architecture
Refactor to Micro Services
Design Pattern
The event queue is an important design pattern to help prying apart a monolith application. It delays the sending of events to a point in the execution flow where it is safe to publish them.
Please show your support by sharing and voting:
Image from https://pixabay.com/en/blackberries-bramble-berries-bush-1539540/
Table of Content
1. Context
The many benefits to be reaped by using a Micro service architecture naturally make a lot of people are eager to jump on the wagon, and get micro servicin'. But how do you transcend from a monolithic architecture to a micro service oriented architecture?
Before we can start extracting code into a service (or write new code as a service) we need a mechanism through which we can publish events from within our monolith. One pattern we have used at our company in our transitioning is the event queue pattern.
2. Problem: When to publish events
During the execution of business logic, we need to substitute method calls with publishing events (in order to initiate other business processes). However, If an error occur later in the same execution flow, we do not want to publish the events. Much like using a database with the ability to roll back a transaction upon error.
So miles deep into the execution, how can we determine whether or not to publish an event then? How do we know whether the rest of the code in the flow will succeed? It is close to impossible in the general case. So let's find alternatives.
3. Solution: The event queue
The concept is simple. Throughout the execution of our business code, we maintain a queue of events to be published. Upon the end of the execution flow, when we persist state, we publish all events in the queue.
If during the execution of the business logic an error occur, all we have to do is throw away the queue instance and we are done. There is no need for a roll-back of the events. Finally, we must ensure at each composition root (entry of the system), we instantiate a fresh instance of the queue.
Essentially, this is the unit of work pattern presented in "patterns of enterprise application architecture" (Fowler;2003). We just call it an even queue instead.
3.1 Implementation
The implementation of the queue is fairly simple. It is a list with a wrapper exposing an Add()
and a PublishEvents()
. The later is used at the end of the execution flow. Notice the queue is "insert only", you can't query its content. Why that is important is elaborated in section 4.2
Now for the implementation:
class EventQueue
{
private readonly List<Event> Events = new List<Event>();
private IEventSender sender;
public EventQueue(IEventSender sender)
{
this.sender = sender;
}
public void Add(Event e)
{
events.Add(e);
}
public PublishEvents()
{
sender.SendEvents(events):
}
}
Notice that there is no interface IEventQueue
. I'm not convinced we need one. There is no need for mocking out the implementation, you can freely use the real implementation in your tests. Instead during testing you need to mock out the event sender.
If you are using an ORM, you may be able to hook into it and automatically call PublishEvents()
on successful transactions. We do that with NHibernate at our company, using the RegisterSynchronization(AfterTransactionCompletes)
hook.
3.2 Alternative implementation
Using the event queue means that you need to pass it around to every method call or constructor. If you think such a roll-out is going to be too laborious, you can consider using an alternative implementation. Using a static implementation all the code can reach it without an object is passed around. This implementation holds a queue either pr. thread/session (eg. Http, ORM or whatever you can grasp onto).
For this article I store queues pr. thread. It is far from the best "session" to hook into, but I want the example code to be as technology-agnostic possible. I suggest you use this code for inspirational purposes only. Some of the problems with this implementation is that a piece of code can be executed by a number of threads - e.g. when using parallel-LINQ or async
-await
. You must step carefully, for no warnings are given if (perhaps unknowingly) use multiple threads.
static class StaticEventQueue
{
private static ConcurrentDictionary<Thread, List<Event>> queues =
new ConcurrentDictionary<Thread, List<Event>>();
public static IEventSender sender = new MegaCorpEventsSender();
public static void Add(Event e)
{
queues.AddOrUpdate(
Thread.CurrentThread,
new List<Event> { e },
(key, l) => { l.Add(e); return old;}
);
}
public static void PublishEvents()
{
List<Event> events;
queues.TryRemove(Thread.CurrentThread, out events);
sender.SendEvents(events);
}
public static void AbortEvents()
{
List<Event> events;
queues.TryRemove(Thread.CurrentThread, out events);
}
}
Notice that this implementation needs an explicit abort method for the case that an error has occurred. Needles to say, it is dangerous to forget to call this. If you are hooking into an ORM, you may be called whenever a transaction ends, and given information on whether or not the transaction succeeded.
Alternatively, as discussed in 4.4 you can store events in the db using the same transaction, such that when it rolls back, so does your event queue items.
4. Discussion
I think there are a number of issues worth discussing.
4.1 The event queue won't solve everything
The event queue enables your monolithic code to publish events at safe points in the execution flow. And that's a good starting point. However, it is important to understand the implications of substituting a method call with sending an event.
First, a method call is a synchronous action. Sending an event which is then processed by some receiver(s) is an asynchronous action. Hence there won't be a "return value" to use in the rest of the execution flow. This will of course limit its use since your entire code base most likely has been written around a "synchronous" design. Hence many places you need to rewrite in order to utilize the queue.
Secondly, and in a similar vein, substituting method calls with event sending effectively means breaking a transaction into many transactions: A transaction where you are sending the event, and a transaction for each of the receivers of the event. A lot of code assume it is executed within the same transaction (think data consistency) cannot be teased apart solely with the use of event queue. It requires restructuring such as changing the ordering of instructions. More on this in a later article.
In essence, you will need to restructure your code whether you use this pattern or not.
4.2 Don't put business logic in the queue
The event queue is essentially a global state in the application. Behold the poor souls who travel the path of global state, for it is truly the path of your demise. We can mitigate the problems by promising to be hands of doing anything but inserting into the queue.
There will come a time where you find yourself wanting to implement logic in the event queue. For example logic that removes event A when event B is added, or add event C automatically when event A is added. It is equally bad practice to query the content of the queue and react to that. Try to solve such problems by other means.
Here is why its dangerous. The second you start extending the queue or query its content, you are putting business logic where it doesn't belong. One important lesson learned by the SOA community, is to keep business rules outside the enterprise service bus. In other words, keep the middle ware stupid!
4.3 Avoid vendor lock-in
An alternative to using the event queue is to use the Api of your event-infrastructure supplier. Be aware, this a serious buy-in on that particular platform. Using the event queue shields you a bit from vendor lock-in - also sometimes referred to as an anti-corruption layer or a channel adapter.
4.4 Transactional event publishing
If your event-infrastructure does not support publishing events within a DB transaction, you may consider writing the content of the event-queue into a db-table instead. This way, its "business as usual" and your events will follow the same path all your other data changes follow.
Then have a separate worker (thread/service) whose only job is to read from the events DB table, publish the events and delete the rows from DB.
4.5 Roll-out strategies
When rolling out this pattern, prepare yourself for touching a large part of the code base. Literally all constructors needs to take the queue as an argument. Alternatively, just roll out the queue enough places to cover the business logic needing to publish events.
You also need to ensure that every composition root (entry point of your application) gets to instantiate a fresh copy and and the end of execution flows, you call PublishEvents()
.
I suggest passing around the queue only and get that merged onto the master branch before using it. That way, the majority of changes are simple risk-free. Still for larger projects, the roll out may cause some initial pain.
5. Summary
- Delay publishing event until the end of the code flow
- The event queue pattern help the transition
- Inevitably going micro services require non-trivial changes to your code
For more articles in this series, see Refactor to Micro Services
Please show your support by sharing and voting:
Congratulations! You've come all the way to the bottom of the article! Please help me make this site better for everyone by commenting below. Or how about making editorial changes? Feel free to fix spelling mistakes, weird sentences, or correct what is plain wrong. All the material is on GitHub so don't be shy. Just go to Github, press the edit button and fire away.
Read the Introduction or browse the rest of the site


All Classes
ControlledScreen
ControlledScreen
Controller
Controller
ControllerTest
ControlOptions
daddy
deleteController
Main
Main
main
optionsController
renameController
Screen1Controller
Screen2Controller
ScreensController
ScreensController
ScreensFramework
ScreensFramework
splashController
textFileController


Issuing a Query and Processing the Result
Any time you want to issue SQL statements to the database, you require a Statement
or PreparedStatement
instance. Once you have a Statement
or PreparedStatement
, you can use issue a query. This will return a ResultSet
instance, which contains the entire result (see the section called Getting results based on a cursor here for how to alter this behaviour). Example 5.1, “Processing a Simple Query in JDBC” illustrates this process.
Example 5.1. Processing a Simple Query in JDBC
This example will issue a simple query and print out the first column of each row using a Statement
.
Statement st = conn.createStatement();
ResultSet rs = st.executeQuery("SELECT * FROM mytable WHERE columnfoo = 500");
while (rs.next()) {
System.out.print("Column 1 returned ");
System.out.println(rs.getString(1));
}
rs.close();
st.close();
This example issues the same query as before but uses a PreparedStatement
and a bind value in the query.
int foovalue = 500;
PreparedStatement st = conn.prepareStatement("SELECT * FROM mytable WHERE columnfoo = ?");
st.setInt(1, foovalue);
ResultSet rs = st.executeQuery();
while (rs.next()) {
System.out.print("Column 1 returned ");
System.out.println(rs.getString(1));
}
rs.close();
st.close();
Getting results based on a cursor
By default the driver collects all the results for the query at once. This can be inconvenient for large data sets so the JDBC driver provides a means of basing a ResultSet
on a database cursor and only fetching a small number of rows.
A small number of rows are cached on the client side of the connection and when exhausted the next block of rows is retrieved by repositioning the cursor.
NOTE
Cursor based
ResultSets
cannot be used in all situations. There a number of restrictions which will make the driver silently fall back to fetching the wholeResultSet
at once.
The connection to the server must be using the V3 protocol. This is the default for (and is only supported by) server versions 7.4 and later.
The
Connection
must not be in autocommit mode. The backend closes cursors at the end of transactions, so in autocommit mode the backend will have closed the cursor before anything can be fetched from it.The
Statement
must be created with aResultSet
type ofResultSet.TYPE_FORWARD_ONLY
. This is the default, so no code will need to be rewritten to take advantage of this, but it also means that you cannot scroll backwards or otherwise jump around in theResultSet
.The query given must be a single statement, not multiple statements strung together with semicolons.
Example 5.2. Setting fetch size to turn cursors on and off.
Changing code to cursor mode is as simple as setting the fetch size of the Statement
to the appropriate size. Setting the fetch size back to 0 will cause all rows to be cached (the default behaviour).
// make sure autocommit is off
conn.setAutoCommit(false);
Statement st = conn.createStatement();
// Turn use of the cursor on.
st.setFetchSize(50);
ResultSet rs = st.executeQuery("SELECT * FROM mytable");
while (rs.next()) {
System.out.print("a row was returned.");
}
rs.close();
// Turn the cursor off.
st.setFetchSize(0);
rs = st.executeQuery("SELECT * FROM mytable");
while (rs.next()) {
System.out.print("many rows were returned.");
}
rs.close();
// Close the statement.
st.close();
Using the Statement or PreparedStatement Interface
The following must be considered when using the Statement
or PreparedStatement
interface:
-
You can use a single
Statement
instance as many times as you want. You could create one as soon as you open the connection and use it for the connection’s lifetime. But you have to remember that only oneResultSet
can exist perStatement
orPreparedStatement
at a given time. -
If you need to perform a query while processing a
ResultSet
, you can simply create and use anotherStatement
. -
If you are using threads, and several are using the database, you must use a separate
Statement
for each thread. Refer to Using the Driver in a Multithreaded or a Servlet Environment if you are thinking of using threads, as it covers some important points. -
When you are done using the
Statement
orPreparedStatement
you should close it. -
In JDBC, the question mark (
?
) is the placeholder for the positional parameters of aPreparedStatement
. There are, however, a number of PostgreSQL operators that contain a question mark. To keep such question marks in a SQL statement from being interpreted as positional parameters, use two question marks (??
) as escape sequence. You can also use this escape sequence in aStatement
, but that is not required. Specifically only in aStatement
a single (?
) can be used as an operator.
Using the ResultSet Interface
The following must be considered when using the ResultSet
interface:
-
Before reading any values, you must call
next()
. This returns true if there is a result, but more importantly, it prepares the row for processing. -
You must close a
ResultSet
by callingclose()
once you have finished using it. -
Once you make another query with the
Statement
used to create aResultSet
, the currently openResultSet
instance is closed automatically. -
When PreparedStatement API is used,
ResultSet
switches to binary mode after five query executions (this default is set by theprepareThreshold
connection property, see Server Prepared Statements. This may cause unexpected behavior when some methods are called. For example, results on method calls such asgetString()
on non-string data types, while logically equivalent, may be formatted differently after execution exceeds the setprepareThreshold
when conversion to object method switches to one matching the return mode.
Performing Updates
To change data (perform an INSERT
, UPDATE
, or DELETE
) you use the executeUpdate()
method. This method is similar to the method executeQuery()
used to issue a SELECT
statement, but it doesn’t return a ResultSet
instead it returns the number of rows affected by the INSERT
, UPDATE
, or DELETE
statement. Example 5.3, “Deleting Rows in JDBC” illustrates the usage.
Example 5.3. Deleting Rows in JDBC
This example will issue a simple DELETE
statement and print out the number of rows deleted.
int foovalue = 500;
PreparedStatement st = conn.prepareStatement("DELETE FROM mytable WHERE columnfoo = ?");
st.setInt(1, foovalue);
int rowsDeleted = st.executeUpdate();
System.out.println(rowsDeleted + " rows deleted");
st.close();
Creating and Modifying Database Objects
To create, modify or drop a database object like a table or view you use the execute()
method. This method is similar to the method executeQuery()
, but it doesn’t return a result.Example 5.4, “Dropping a Table in JDBC illustrates the usage.
Example 5.4. Dropping a Table in JDBC
This example will drop a table.
Statement st = conn.createStatement();
st.execute("DROP TABLE mytable");
st.close();
Using Java 8 Date and Time classes
The PostgreSQL™ JDBC driver implements native support for the Java 8 Date and Time API(JSR-310) using JDBC 4.2.
Table 5.1. Supported Java 8 Date and Time classes
| PostgreSQL™ | Java SE 8 |
|---|---|
| DATE | LocalDate |
| TIME [ WITHOUT TIME ZONE ] | LocalTime |
| TIMESTAMP [ WITHOUT TIME ZONE ] | LocalDateTime |
| TIMESTAMP WITH TIME ZONE | OffsetDateTime |
This is closely aligned with tables B-4 and B-5 of the JDBC 4.2 specification.
Note
ZonedDateTime
,Instant
andOffsetTime / TIME WITH TIME ZONE
are not supported. Also note that allOffsetDateTime
instances will have be in UTC (have offset 0). This is because the backend stores them as UTC.
Example 5.2. Reading Java 8 Date and Time values using JDBC
Statement st = conn.createStatement();
ResultSet rs = st.executeQuery("SELECT * FROM mytable WHERE columnfoo = 500");
while (rs.next()) {
System.out.print("Column 1 returned ");
LocalDate localDate = rs.getObject(1, LocalDate.class);
System.out.println(localDate);
}
rs.close();
st.close();
For other data types simply pass other classes to #getObject
.
Note
The Java data types needs to match the SQL data types in table 7.1.
Example 5.3. Writing Java 8 Date and Time values using JDBC
LocalDate localDate = LocalDate.now();
PreparedStatement st = conn.prepareStatement("INSERT INTO mytable (columnfoo) VALUES (?)");
st.setObject(1, localDate);
st.executeUpdate();
st.close();


Giant Panda
Ailuropoda melanoleuca
The panda, with its distinctive black and white coat, is adored by the world and considered a national treasure in China. This bear also has a special significance for WWF because it has been our logo since our founding in 1961.Pandas live mainly in temperate forests high in the mountains of southwest China, where they subsist almost entirely on bamboo. They must eat around 26 to 84 pounds of it every day, depending on what part of the bamboo they are eating. They use their enlarged wrist bones that function as opposable thumbs.
A newborn panda is about the size of a stick of butter—about 1/900th the size of its mother—but females can grow up to about 200 pounds, while males can grow up to about 300 pounds as adults. These bears are excellent tree climbers despite their bulk.
STATUS:
Vulnerable
POPULATION:
1,864 in the wild
HABITAT:
Mountains, Forest Habitat
THREATS
HABITAT LOSS & FRAGMENTATION
China’s Yangtze Basin region holds the panda’s primary habitat. Infrastructure development (such as dams, roads, and railways) is increasingly fragmenting and isolating panda populations, preventing pandas from finding new bamboo forests and potential mates. Forest loss also reduces pandas’ access to the bamboo they need to survive. The Chinese government has established more than 50 panda reserves, but only around 67% of the total wild panda population lives in reserves, with 54% of the total habitat area being protected.
LOSS OF FOOD SOURCES
Pandas' reliance on bamboo as a primary food source puts them at risk during this plant's characteristic mass synchronous flowering and die-off events, which occur at intervals of 15 to 100 years. Before human expansion confined Pandas to high elevations, Pandas had access to more species of bamboo adapted to different elevation zones. When one bamboo species experienced a die-off, Pandas could easily migrate up or down slope to access a different species that was not affected. Confined to its more limited elevation range today, Pandas are sometimes put at risk of starvation, especially when more than one bamboo species flowers at the same time. Although past bamboo die-off events were alarming and caused starvation and mortalities in Pandas, populations recovered and these population bottlenecks did not compromise genetic diversity.
These primary threats associated with habitat fragmentation and degradation may be exacerbated by climate change-mediated effects on Panda habitat in the future. Several models indicate significant losses to Giant Panda habitat, with estimates of loss of bamboo habitat ranging from 37% to 100% by the end of the century. Although these models are simplifying and may not adequately account for distributional shifts of bamboo species adapted to lower elevations and southern latitudes to replace current habitat that might be lost, managers should be concerned about large-scale environmental changes facing Panda populations in the future. In addition, climate change may alter the agricultural value of current Giant Panda habitat and bring about intensified human pressure for cultivation. For example, some models indicate that much of Panda habitat will become suitable for viticulture, a high-value crop.
How Can I Help?
Call Your Representatives
100 companies are responsible for 71% of global emissions. Urge your congresspeople to pass legislation preventing corporations from destroying our planet.
Reduce Your Footprint
Commit to reducing food waste, electricity use, and walk, bike, or take public transportation. Buy only what you need and recycle what you no longer do.
Donate
Companies like IUCN Red List & World Wildlife Fund are committed to protecting habitats threatened by Climate Change and the animals that live there.


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{% load staticfiles %}
Get Your Questions Answered 让世界为你解答
It is not the answer that enlightens, but the question. Eugène Ionesco
It is not the answer that enlightens, but the question.


{% extends 'container.html' %} {% import 'form.html' as form %} {% block content %}
Please note, maximum order amount (total order lines) must not exceed: {{orderamount}}


This class is a basic element of StarNetwork. It represents a link of the graph.
Definition: StarLink.h:8
int post
Definition: DAGraphNode.h:39
FPType minDist
Definition: DAGraphNode.h:41
const FPType demand
Definition: DAGraphNode.h:31
const int nodeIndex
Definition: DAGraphNode.h:33
std::list< StarLink * > incomeLinks
Definition: DAGraphNode.h:17
std::list< StarLink * > outLinks
Definition: DAGraphNode.h:22
int pre
Definition: DAGraphNode.h:36
StarLink * maxLink
Definition: DAGraphNode.h:27
This class is a basic element in DAGraph. It represents a node of the graph.
Definition: DAGraphNode.h:11
FPType maxDist
Definition: DAGraphNode.h:43
StarLink * minLink
Definition: DAGraphNode.h:25


|
Deep Vision
NVIDIA Deep Vision Runtime Inference API
|
Image segmentation with FCN-Alexnet or custom models, using TensorRT. More...
#include <segNet.h>
Public Types | |
| enum | NetworkType { FCN_ALEXNET_PASCAL_VOC, FCN_ALEXNET_SYNTHIA_CVPR16, FCN_ALEXNET_SYNTHIA_SUMMER_HD, FCN_ALEXNET_SYNTHIA_SUMMER_SD, FCN_ALEXNET_CITYSCAPES_HD, FCN_ALEXNET_CITYSCAPES_SD, FCN_ALEXNET_AERIAL_FPV_720p, SEGNET_CUSTOM } |
| Network model enumeration. More... | |
Public Member Functions | |
| virtual | ~segNet () |
| Destroy. More... | |
| bool | Overlay (float *input, float *output, uint32_t width, uint32_t height, const char *ignore_class="void") |
| Produce the segmentation overlay alpha blended on top of the original image. More... | |
| int | FindClassID (const char *label_name) |
| Find the ID of a particular class (by label name). More... | |
| uint32_t | GetNumClasses () const |
| Retrieve the number of object classes supported in the detector. More... | |
| const char * | GetClassLabel (uint32_t id) const |
| Retrieve the description of a particular class. More... | |
| float * | GetClassColor (uint32_t id) const |
| Retrieve the class synset category of a particular class. More... | |
| void | SetClassColor (uint32_t classIndex, float r, float g, float b, float a=255.0f) |
| Set the visualization color of a particular class of object. More... | |
| void | SetGlobalAlpha (float alpha, bool explicit_exempt=true) |
| Set a global alpha value for all classes (between 0-255), (optionally except for those that have been explicitly set). More... | |
| NetworkType | GetNetworkType () const |
| Retrieve the network type (alexnet or googlenet) More... | |
| const char * | GetNetworkName () const |
| Retrieve a string describing the network name. More... | |
| Public Member Functions inherited from tensorNet | |
| virtual | ~tensorNet () |
| Destory. More... | |
| bool | LoadNetwork (const char *prototxt, const char *model, const char *mean=NULL, const char *input_blob="data", const char *output_blob="prob", uint32_t maxBatchSize=2) |
| Load a new network instance. More... | |
| bool | LoadNetwork (const char *prototxt, const char *model, const char *mean, const char *input_blob, const std::vector< std::string > &output_blobs, uint32_t maxBatchSize=2) |
| Load a new network instance with multiple output layers. More... | |
| void | EnableProfiler () |
| Manually enable layer profiling times. More... | |
| void | EnableDebug () |
| Manually enable debug messages and synchronization. More... | |
| void | DisableFP16 () |
| Manually disable FP16 for debugging purposes. More... | |
| bool | HasFP16 () const |
| Query for half-precision FP16 support. More... | |
Static Public Member Functions | |
| static segNet * | Create (NetworkType networkType=FCN_ALEXNET_CITYSCAPES_SD, uint32_t maxBatchSize=2) |
| Load a new network instance. More... | |
| static segNet * | Create (const char *prototxt_path, const char *model_path, const char *class_labels, const char *class_colors=NULL, const char *input=SEGNET_DEFAULT_INPUT, const char *output=SEGNET_DEFAULT_OUTPUT, uint32_t maxBatchSize=2) |
| Load a new network instance. More... | |
| static segNet * | Create (int argc, char **argv) |
| Load a new network instance by parsing the command line. More... | |
Protected Member Functions | |
| segNet () | |
| bool | loadClassColors (const char *filename) |
| bool | loadClassLabels (const char *filename) |
| Protected Member Functions inherited from tensorNet | |
| tensorNet () | |
| Constructor. More... | |
| bool | ProfileModel (const std::string &deployFile, const std::string &modelFile, const std::vector< std::string > &outputs, uint32_t maxBatchSize, std::ostream &modelStream) |
| Create and output an optimized network model. More... | |
| void | PROFILER_REPORT () |
| When profiling is enabled, end a profiling section and report timing statistics. More... | |
Protected Attributes | |
| std::vector< std::string > | mClassLabels |
| float * | mClassColors [2] |
| array of overlay colors in shared CPU/GPU memory More... | |
| uint8_t * | mClassMap [2] |
| runtime buffer for the argmax-classified class index of each tile More... | |
| NetworkType | mNetworkType |
| Protected Attributes inherited from tensorNet | |
| tensorNet::Logger | gLogger |
| tensorNet::Profiler | gProfiler |
| std::string | mPrototxtPath |
| std::string | mModelPath |
| std::string | mMeanPath |
| std::string | mInputBlobName |
| nvinfer1::IRuntime * | mInfer |
| nvinfer1::ICudaEngine * | mEngine |
| nvinfer1::IExecutionContext * | mContext |
| uint32_t | mWidth |
| uint32_t | mHeight |
| uint32_t | mInputSize |
| float * | mInputCPU |
| float * | mInputCUDA |
| uint32_t | mMaxBatchSize |
| bool | mEnableProfiler |
| bool | mEnableDebug |
| bool | mEnableFP16 |
| bool | mOverride16 |
| Dims3 | mInputDims |
| std::vector< outputLayer > | mOutputs |
Image segmentation with FCN-Alexnet or custom models, using TensorRT.
| enum segNet::NetworkType |
Network model enumeration.
|
virtual |
Destroy.
|
protected |
|
static |
Load a new network instance.
|
static |
Load a new network instance.
| prototxt_path | File path to the deployable network prototxt |
| model_path | File path to the caffemodel |
| class_labels | File path to list of class name labels |
| class_colors | File path to list of class colors |
| input | Name of the input layer blob. |
| output | Name of the output layer blob. |
| maxBatchSize | The maximum batch size that the network will support and be optimized for. |
|
static |
Load a new network instance by parsing the command line.
| int segNet::FindClassID | ( | const char * | label_name | ) |
Find the ID of a particular class (by label name).
|
inline |
Retrieve the class synset category of a particular class.
|
inline |
Retrieve the description of a particular class.
|
inline |
Retrieve a string describing the network name.
|
inline |
Retrieve the network type (alexnet or googlenet)
|
inline |
Retrieve the number of object classes supported in the detector.
|
protected |
|
protected |
| bool segNet::Overlay | ( | float * | input, |
| float * | output, | ||
| uint32_t | width, | ||
| uint32_t | height, | ||
| const char * | ignore_class = "void" |
||
| ) |
Produce the segmentation overlay alpha blended on top of the original image.
| input | float4 input image in CUDA device memory, RGBA colorspace with values 0-255. |
| output | float4 output image in CUDA device memory, RGBA colorspace with values 0-255. |
| width | width of the input image in pixels. |
| height | height of the input image in pixels. |
| alpha | alpha blending value indicating transparency of the overlay. |
| ignore_class | label name of class to ignore in the classification (or NULL to process all). |
| void segNet::SetClassColor | ( | uint32_t | classIndex, |
| float | r, | ||
| float | g, | ||
| float | b, | ||
| float | a = 255.0f |
||
| ) |
Set the visualization color of a particular class of object.
| void segNet::SetGlobalAlpha | ( | float | alpha, |
| bool | explicit_exempt = true |
||
| ) |
Set a global alpha value for all classes (between 0-255), (optionally except for those that have been explicitly set).
|
protected |
array of overlay colors in shared CPU/GPU memory
|
protected |
|
protected |
runtime buffer for the argmax-classified class index of each tile
|
protected |


University of California, San Diego
Sept 2011 - Sept 2014
B.S. Cognitive Science: Human-Computer Interaction
Minor in History
Usability & Information Architecture
Practicum in Professional Web Design
Digital Imaging: Image & Interactivity
Distributed Cognition
Cognitive Ethnography
Intro to HCI Design
UX Research/Design
Distributed Health Labs
July 2013-March 2014


Advanced search
Pokedex ID
Substring of Pokemon name
Legendary status
Type 1
Type 2
Ability 1
Ability 2
Hidden ability
Stats
Health
Attack
Defense
Special attack
Special defense
Speed
Region
Catch rate (between 0 and 255)
Percent chance that the Pokemon spawns as...
Male
Female
Egg group 1
Egg group 2
Game of origin
this should be a link; if you see this you get a problem
waiting for the javascript


About Me
My name is Abdelqader Al-Omari, from Jordan
I studied Mechanical Engineering at JU
Now a Software Development Student in ASAC
Programming is my passion
I aim to be a proffesional developer
Skills:
- Grasp new skills quickly
- Team Work
- Problem solving
- Web content development
- Communication Skills
- Fast Typing
- Web Searching
- Presentation
- Copywriting & blogging
- Photo editing
Experience
- Software Development Student @ ASAC
- Social Worker @ Freelancer
- Monitoring and Evaluation @Makani


Very Friendly Won't Bite!
Contact Nuala with any information.
Don't Be Afraid!
Characteristics:
check out Ball Python Wiki. For more information.


Before Change
ax = plt.gca()
// Prepare list of meters
meters = copy(self.meters)
if include_disabled_meters:
meters += self.disabled_meters
meters.sort(key=meter_sorting_key, reverse=True)
labels = []
for i, meter in enumerate(meters):
After Change
appliance_md["dataset"] = building_id.dataset
appliance_md["building"] = building_id.instance
appliance = Appliance(appliance_md)
meter_ids = [ElecMeterID(instance=meter_instance,
building=building_id.instance,
dataset=building_id.dataset)
for meter_instance in appliance.metadata["meters"]]
if appliance.n_meters == 1:


Hey everyone, hope you had a good week. I'm trying a new structure which is content-based rather than format-based (where we separate blog posts and papers). What do think? prefer? If you have any suggestions please tell me,... the goal is to make this useful :-) I try to order the articles (within categories) by relevance. But then it is not so curated so maybe you don't know what to pick... I don't know... Give me suggestions!! What would you like?
Some people are just too great. 80 pages worth of notes on the AAAI 2018 conference. 82 actually. Lots of content about AI, Ehtics & Society. Lots of content about RL. A few pages on learning theory.
A starting point for document liveness?
Seriation is the study of ways to place sets of items in an order that reveals structural information about the said set. In this article, the author presents an example with heatmaps: it appears close to random but a rich pattern is actully present. Is it quite surprising!!
A discussion on how concepts already studied for linear models could help us understand the contradictions of deep models.
Authors achieved state of the art (by quite a margin) on entity disambiguation tasks. It's NLP. Even though we don't do NLP, this webpage is awesome. With its slick UI and cool animations,... a new way of presenting research?
A robot is pretrained on a variety of tasks. At testing time, the robot is presented with a single video of a human performing a specific action (like taking the red ball into the blue basket). The robot now reproduces the same action!
It is a well-known paper and project (and is described in the blog post mentioned above). But the authors of the SHAP method argues their solution is better compared to LIME... :-)
Yuge post on O'Reilly's website. Gives a good overview (I suppose) of interpretability in ML up to mid 2017. If you are more of a listener rather than a reader, here's a video from the author that goes through the article
A series of sixteen lectures covering the core of the book 'Information Theory, Inference, and Learning Algorithms'.
In the images given as example, cats become tigers and tigers become cat. The pose is preserved. See the NIPS 2017 paper.
Provides hindsight on the links between variational methods (and SGD) can be seen as evolutionary algorithms.
Quite hard to follow if you're not up to comfortable with variational inference but interesting nonetheless. He shows how the Fisher-Rao norm could be interesting as a criterion for pruning. The last paragraph is a metaphor trying to explain why fine-tuned networks suffer from catastrophic forgetting.
It's one of those GitHub pages that records EVERYTHING you want to find on a specific subject. Here it's about 3D ML.
Finally, AR objects will remain still and robustly attached to the ground! Even when the objects move away/closer from the camera. Impressive gifs in this link. 'The core idea behind instant motion tracking is to decouple the camera's translation and rotation estimation, treating them instead as independent optimization problems.'
Impressive results on human pose estimation. Thanks @Zhiyuan for the reading group. ;-)
A network architecture that generalizes ResNet and DenseNet: 'Consequently, ResNet, DenseNet and Dual Path Network (DPN) can be regarded as a special case of MixNet'.
'We propose Object-Oriented Deep Learning, a novel computational paradigm of deep learning that adopts interpretable 'objects/symbols' as a basic representational atom instead of N-dimensional tensors (as in traditional 'feature-oriented' deep learning).' -- The abstract makes me think about Capsules. But these are not capsules! In particular, they don't use any CNNs. The graphs look a bit odd.
Another paper that explores evolutionary algorithms to come up with powerful architectures and compares it to RL-based approaches.'Finally, we present new architectures discovered with evolution that we nickname AmoebaNets. These models set a new state of the art for CIFAR-10 (mean test error = 2.13%) and mobile-size ImageNet (top-5 accuracy = 92.1% with 5.06M parameters), and reach the current state of the art for ImageNet (top-5 accuracy = 96.2%).' '450 GPU / 7 days & 900 TPU / 5 days'.... just saying :-)
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently
An introduction/presentation of a recent work from Twitter. They perform saliency detection (i.e. detection of the zones where the human eye is likely to attend) to choose which regions on an image should be cropped. Their main research deals with optimizing the inference time. Pruning and knowledge distillation are at stake.
Not sure I understood what this is used for. Per-pixel labeling?
This course website is here. Lots of well-known speakers. Added Fri.: I think the talk from Tenenbaum has been added as well.
Have a nice Friday and a great weekend ;-)


AWLO
INTERNATIONAL YOUTH SUMMIT
Volunteer Form
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- Juice
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-
Tea
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-
Green tea
You need to provide summary
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contestation
controversy, debate
perorate
- to deliver a long or grandiloquent oration
- to make a peroration
arthrospore
- an isolated vegetative cell that has passed into a resting state, occurring in bacteria and not regarded as a truespore.
- one of a number of spores of various fungi and certain blue-green algae, united in the form of a string of beads, formed by fission.


ZIKS ARTHRITIS PAIN RELIEF - methyl salicylate, menthol and capsaicin cream
Nnodum Pharmaceuticals
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Cetyl Alcohol, Ceteth-2, Sorbitol Solution, Imidazolidinyl Urea and Purified Water.
For the temporary relief of minor aches and pain of muscles and joints associated with arthritis, simple backache, strains and sprains. *Products containing purified capsaicin are most recommended by doctors and pharmacists.
Adults and children 2 years of age and older: Apply to affected area not more than 3 to 4 times daily. Children under 2 years of age: consult a physician. A passing burning sensation may occur upon application, but generally disappears in several days. Application schedules of less than 3 to 4 times a day may not provide optimum pain relief ant the burning sensation may persist. WASH HANDS WITH SOAP AND WATER AFTER APPLYING UNLESS TREATING HANDS.
For external use only. Avoid contact with eyes and mucus membranes. If conditions worsens, or if symptoms persist for more than 7 days or clear up and occur again within a few days, discontinue use of this product and consult a physician. Do not apply to wounds, damage or broken (open), irritated skin or excessive irritation develops.
Do not bandage tightly. Do not use with heating pad. As with any drug, if you are pregnant or nursing a baby, seek the advice of a health professional before using this product. Keep this and all drugs out of the reach of children. In case of accidental ingestion, seek professional assistance or contact a poison control center immediately.
Storage
Store at room temperature 15-30 degrees C (59-86 degrees F). Lot number and expiration date: See tube seal area or end flap.
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| Alliance Packaging Group | 031754588 | MANUFACTURE |


# Installation
Please follow the steps for your operating system.
# macOS
The recommended way to install mitmproxy on macOS is to use Homebrew:
brew install mitmproxy
Alternatively you can download the binary-packages from our releases page.
# Linux
The recommended way to install mitmproxy on Linux is to download the binary-packages from our releases page.
Some Linux distributions provide community-supported mitmproxy packages through their native package repositories (e.g., Arch Linux, Debian, Ubuntu, Kali Linux, OpenSUSE, etc.). We are not involved in the maintenance of downstream packaging efforts, and they often lag behind the current mitmproxy release. Please contact the repository maintainers directly for issues with native packages.
# Windows
All the mitmproxy tools are fully supported under WSL (Windows Subsystem for Linux). We recommend to install WSL, and then follow the mitmproxy installation instructions for Linux.
We also distribute native Windows packages for all tools other than the mitmproxy console app, which only works under WSL. To install mitmproxy on Windows, download the binary packages from our releases page.
After installation, you’ll find shortcuts for mitmweb and mitmdump in the start menu. Both executables are added to your PATH and can be invoked from the command line.
# Advanced Installation
# Self-contained Pre-built Binary Packages
For some platforms we provide pre-built binary packages containing ready-to-run executables. This includes a self-contained Python 3 environment, a recent OpenSSL that support ALPN and HTTP/2, and other dependencies that would otherwise be cumbersome to compile and install.
Dependencies in the binary packages are frozen on release, and can’t be updated in situ. This means that we necessarily capture any bugs or security issues that may be present. We don’t generally release new binary packages simply to update dependencies (though we may do so if we become aware of a really serious issue). If you use our binary packages, please make sure you update regularly to ensure that everything remains current.
# Docker Images
You can use the official mitmproxy images from DockerHub. The same security considerations apply as for our binary packages.
# Installation on Linux via pip3
Please make sure to install Python 3.6 (or higher) and pip3 for your distribution. If your distribution does not provide a suitable Python version, you can use pyenv to get a recent Python environment.
sudo apt install python3-pip # Debian 10 or higher, Ubuntu 17.10 or higher
sudo dnf install python3-pip # Fedora 26 or higher
sudo pacman -S python-pip # Arch Linux
Please make sure to upgrade pip3 itself:
sudo pip3 install -U pip
Now you can install mitmproxy via pip3:
sudo pip3 install mitmproxy
# Installation on Windows via pip3
First, install the latest version of Python 3.6 or higher from the Python website. During installation, make sure to select Add Python to PATH. There are no other dependencies on Windows.
Now you can install mitmproxy via pip3:
pip3 install mitmproxy
# Installation from Source
If you would like to install mitmproxy directly from source code or the GitHub master branch, please see the our README on GitHub.


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