{% load i18n %}
Pin a fixed-height footer to the bottom of the viewport in desktop browsers with this custom HTML and CSS. A fixed navbar has been added with padding-top: 60px;
on the body > .ocntainer
.
Back to the default sticky footer minus the navbar.
{% endblock %}


dplyr
Verbs for ped
-ObjectsSee dplyr
documentation of the respective functions for
description and examples.
# S3 method for ped arrange(.data, ...) # S3 method for ped group_by(.data, ..., add = FALSE) # S3 method for ped group_by_(.data, ..., .dots = list(), add = FALSE) # S3 method for ped ungroup(x, ...) # S3 method for ped distinct_(.data, ..., .dots = list()) # S3 method for ped filter(.data, ...) # S3 method for ped sample_n(tbl, size, replace = FALSE, weight = NULL, .env = NULL) # S3 method for ped sample_frac(tbl, size = 1, replace = FALSE, weight = NULL, .env = NULL) # S3 method for ped slice(.data, ...) # S3 method for ped select(.data, ...) # S3 method for ped select_(.data, ..., .dots = list()) # S3 method for ped mutate(.data, ..., keep_attributes = TRUE) mutate_each.ped(tbl, funs, ..., keep_attributes = TRUE) # S3 method for ped rename(.data, ...) # S3 method for ped rename_(.data, ..., .dots = list()) # S3 method for ped summarise(.data, ...) # S3 method for ped summarize(.data, ...) summarise_each.ped(tbl, funs, ...) # S3 method for ped transmute(.data, ...) # S3 method for ped inner_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...) # S3 method for ped full_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...) # S3 method for ped left_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ..., keep_attributes = TRUE) # S3 method for ped right_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ..., keep_attributes = TRUE)
| .data | an object of class |
|---|---|
| ... | see |
| add | When |
| .dots | see |
| x | an object of class |
| tbl | an object of class |
| size | For |
| replace | Sample with or without replacement? |
| weight | Sampling weights. This must evaluate to a vector of non-negative numbers the same length as the input. Weights are automatically standardised to sum to 1. This argument is automatically quoted and later
evaluated in the context of the data
frame. It supports unquoting. See
|
| .env | This variable is deprecated and no longer has any
effect. To evaluate |
| keep_attributes | conserve attributes? defaults to |
| funs | see |
| y | tbls to join |
| by | a character vector of variables to join by. If To join by different variables on x and y use a named vector.
For example, |
| copy | If |
| suffix | If there are non-joined duplicate variables in |
a modified ped
object (except for do
)


Jerren is gonna get drunk this weekend
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| Block |
{{block_hash}} |
| Type |
{{binfo.type}} |
| Destination |
{{binfo.destination}} |
| Work |
{{binfo.work}} |
| Signature |
{{binfo.signature}} |
{% elif binfo.type == "receive" %}
Received 0.235 XRB
| Block |
{{block_hash}} |
| Type |
{{binfo.type}} |
| Destination |
{{block2.destination}} |
| Work |
{{binfo.work}} |
| Signature |
{{binfo.signature}} |
{% elif binfo.type == "open" %}
{{isReceivedOrSent}} 0.235 XRB
| Block |
{{block_hash}} |
| Type |
{{binfo.type}} |
| Destination |
{{block2.destination}} |
| Work |
{{binfo.work}} |
| Signature |
{{binfo.signature}} |
{% endif %}
{% endblock %}
{% block script %}
{% endblock %}


The omdb project is maintaining a number of public mailinglists. To participate you need to subscribe to it. The list info-en is the only list that allows posts by non-members. So if you do not want to subscribe, send an email to this list.
General mailinglist for discussions and suggestions regarding the omdb project.
Mailinglist for concerning questions and organisation of regular editors on omdb.
Technical discussion regarding the software and future enhancements of omdb.
Information about newly created movies. This mailinglist is read-only.


Samsung N5300 32 inch Full HD Flat Smart TV (Series 5)
Rs. 43,000/-
EcoStar 32" CX-32U851P with Air Mouse Smart HD
Rs. 29,500/-
Samsung 55” Q7F 4K Smart QLED TV
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LG 43" 43UK6300PLB 4K UHD Smart AI LED TV
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Samsung 43" RU7100 4K UHD Flat Smart TV
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Sony Bravia KLV-32R302E 32 inch LED TV
Rs. 41,000/-


@remarks The DecoderFallback object represents an error handler that is invoked when an encoded byte sequence cannot be decoded into a character. Any one of the following handler types is supported:
| Exception | Condition |
|---|---|
| ArgumentNullException | The value in a set operation is Nothing. |
| InvalidOperationException | A value cannot be assigned in a set operation because the current Encoding object is read-only. |


Enumeration members
BlockNotFound
BlockNotFound: = 511
CanNotBuildMessageCell
CanNotBuildMessageCell: = 503
CanNotCheckBlockShard
CanNotCheckBlockShard: = 510
ExternalSignerMustNotBeUsed
ExternalSignerMustNotBeUsed: = 513
FetchBlockFailed
FetchBlockFailed: = 504
InvalidBlockReceived
InvalidBlockReceived: = 509
InvalidData
InvalidData: = 512
InvalidMessageBoc
InvalidMessageBoc: = 506
MessageAlreadyExpired
MessageAlreadyExpired: = 501
MessageExpired
MessageExpired: = 507
MessageHasNotDestinationAddress
MessageHasNotDestinationAddress: = 502
SendMessageFailed
SendMessageFailed: = 505
TransactionWaitTimeout
TransactionWaitTimeout: = 508


| Interface | Description |
|---|---|
| FeedIdentifier |
There are different Feeds: Trending, Tag, Search, Reactions, Single item and User.
|
| FeedType |
Type of
FeedIdentifier |
| GfycatCustomDomain |
Created by dekalo on 09.03.17.
|
| GfycatPlugin |
Plugin interface.
|
| NoAuthAPI |
Separated from other apis because this request must execute without auth.
|
| Class | Description |
|---|---|
| AdsManager |
Created by dgoliy on 9/12/17.
|
| ApiWrapper |
Created by anton on 2/10/17.
|
| ApplicationIDHelperLib |
Created by dekalo on 14.10.16.
|
| CoreConfig |
Created by dekalo on 14.10.16.
|
| FeedIdentifierFactory |
FeedIdentifier generator. |
| FeedIdentifierParameters | |
| FeedManagerAsyncWrapper |
Created by dgoliy on 4/11/17.
|
| GfycatApplicationInfo |
Gfycat client id and client secret container
|
| GfycatPluginInitializer |
Created by dekalo on 27.11.17.
|
| GfyCore |
Root Gfycat class providing access to core elements
|
| GfyCoreInitializationBuilder |
Gfycat SDK initialize preferences class
|
| GfyCoreInitializer |
Main GfyCore initialization class.
|
| GfyPrivate |
Set of private API that should be used by core internally.
|
| GfyPrivateHelper |
Set of private API that should be used by core internally.
|
| GfyUtils |
Created by dekalo on 18.10.16.
|
| NetworkConfig |
Networking config.
|
| NetworkUtils |
Network related utility methods.
|
| ParameterizedFeedIdentifierBuilder |
Provides possibility to parameterize feeds with specific content, such as aspect ratio, length or content rating.
|
| PublicFeedIdentifier |
Public available feed identifiers available here.
|
| RecentFeedIdentifier |
Created by dgoliy on 03.30.17
|
| SingleFeedIdentifier | |
| SingleObjectRepository<T> |
Persistent storage in shared preferences for single object that supports jackson serialization.
|
| Enum | Description |
|---|---|
| FeedIdentifier.Type |
Public available feed types declaration.
|
| Exception | Description |
|---|---|
| FeedIdentifierFactory.NoSuchFeedException |
Indicates that there is no
FeedIdentifier associated with provided uniqueIdentifier. |


IncidenceGraph
public protocol IncidenceGraph : GraphProtocol
A graph that allows retrieval of edges from each vertex.
-
The collection of edges originating from a given vertex.
Declaration
Swift
associatedtype VertexEdgeCollection : Collection where Self.EdgeId == Self.VertexEdgeCollection.Element
-
Returns the collection of edges whose source is
vertex
.Declaration
Swift
func edges(from vertex: VertexId) -> VertexEdgeCollection
-
Returns the source
VertexId
ofedge
.Declaration
Swift
func source(of edge: EdgeId) -> VertexId
-
Returns the source
VertexId
ofedge
.Declaration
Swift
func destination(of edge: EdgeId) -> VertexId
-
Returns the number of edges whose source is
vertex
.Declaration
Swift
func outDegree(of vertex: VertexId) -> Int
-
BFSCallback
Extension methodA hook to observe events that occur during depth first search.
Declaration
Swift
public typealias BFSCallback = (BFSEvent<Self>, inout Self) throws -> Void
-
BFSCallbackWithWorkList
Extension methodA hook to (1) observe events that occur during depth first search, and (2) to optionally modify the work list of vertices.
Declaration
Swift
public typealias BFSCallbackWithWorkList<WorkList> = (BFSEvent<Self>, inout Self, inout WorkList) throws -> Void
-
breadthFirstSearch(startingAt:callback:)
Extension methodRuns breadth first search on
graph
starting fromstartVertices
;callback
is invoked at key events during the search.Precondition
startVertices
is non-empty.Declaration
Swift
public mutating func breadthFirstSearch< StartVertices: Collection >( startingAt startVertices: StartVertices, callback: BFSCallback ) rethrows where StartVertices.Element == VertexId, VertexId: IdIndexable
-
Runs breadth first search on
graph
usingvertexVisitationState
to keep track of search progress;callback
is invoked at key events during the search.Precondition
vertexVisitationState
must be initialized for everyVertexId
inGraph
to be.white
. (Note: this precondition is not checked.)Precondition
startVertices
is non-empty.Declaration
Swift
public mutating func breadthFirstSearch< VertexVisitationState: PropertyMap, WorkList: Queue, StartVertices: Collection >( startingAt startVertices: StartVertices, workList: inout WorkList, vertexVisitationState: inout VertexVisitationState, callback: BFSCallbackWithWorkList<WorkList> ) rethrows where VertexVisitationState.Graph == Self, VertexVisitationState.Key == VertexId, VertexVisitationState.Value == VertexColor, WorkList.Element == VertexId, StartVertices.Element == VertexId
-
breadthFirstSearch(startingAt:callback:)
Extension methodRuns breadth first search on
graph
starting fromstartVertex
;callback
is invoked at key events during the search.Declaration
Swift
public mutating func breadthFirstSearch( startingAt startVertex: VertexId, callback: BFSCallback ) rethrows
-
DFSCallback
Extension methodA hook to observe events that occur during depth first search.
Declaration
Swift
public typealias DFSCallback = (DFSEvent<Self>, inout Self) throws -> Void
-
depthFirstSearch(startingAt:vertexVisitationState:callback:)
Extension methodExpores
self
depth-first starting atsource
, usingvertexVisitationState
to keep track of visited vertices, invokingcallback
at key events of the search.Note
this is a mutating method because thevertexVisitationState
orvisitor
may store data within the graph itself.Precondition
VertexVisitationState
has been initialized for every vertex to.white
.Declaration
Swift
public mutating func depthFirstSearch< VertexVisitationState: PropertyMap >( startingAt source: VertexId, vertexVisitationState: inout VertexVisitationState, callback: DFSCallback ) rethrows where VertexVisitationState.Graph == Self, VertexVisitationState.Key == VertexId, VertexVisitationState.Value == VertexColor
-
depthFirstTraversal(vertexVisitationState:callback:)
Extension methodRuns depth first search repeatedly until all vertices have been visited.
Declaration
Swift
public mutating func depthFirstTraversal< VertexVisitationState: PropertyMap >( vertexVisitationState: inout VertexVisitationState, callback: DFSCallback ) rethrows where VertexVisitationState.Graph == Self, VertexVisitationState.Key == VertexId, VertexVisitationState.Value == VertexColor
-
depthFirstSearch(startingAt:callback:)
Extension methodExpores
self
depth-first starting atsource
, invokingcallback
at key events during the search.Note
this is a mutating method because thecallback
may modify the graph.Declaration
Swift
public mutating func depthFirstSearch( startingAt source: VertexId, callback: DFSCallback ) rethrows
-
depthFirstTraversal(callback:)
Extension methodRuns depth first search repeatedly until all vertices have been visited.
Declaration
Swift
public mutating func depthFirstTraversal( callback: DFSCallback ) rethrows
-
DijkstraSearchCallback
Extension methodA hook to observe events that occur during Dijkstra’s search.
Declaration
Swift
public typealias DijkstraSearchCallback = (DijkstraSearchEvent<Self>, inout Self) throws -> Void
-
dijkstraSearch(startingAt:vertexVisitationState:distancesToVertex:edgeLengths:workList:workListIndex:callback:)
Extension methodExecutes Dijkstra’s graph search algorithm in
self
using the supplied property maps;callback
is called at key events during the search.Declaration
Swift
public mutating func dijkstraSearch< Distance: GraphDistanceMeasure, EdgeLengths: PropertyMap, DistancesToVertex: PropertyMap, VertexVisitationState: PropertyMap, WorkList: RandomAccessCollection & RangeReplaceableCollection & MutableCollection, WorkListIndex: PriorityQueueIndexer & IndexProtocol >( startingAt startVertex: VertexId, vertexVisitationState: inout VertexVisitationState, distancesToVertex: inout DistancesToVertex, edgeLengths: EdgeLengths, workList: WorkList, workListIndex: WorkListIndex, callback: DijkstraSearchCallback ) rethrows where EdgeLengths.Graph == Self, EdgeLengths.Key == EdgeId, EdgeLengths.Value == Distance, DistancesToVertex.Graph == Self, DistancesToVertex.Key == VertexId, DistancesToVertex.Value == Distance, VertexVisitationState.Graph == Self, VertexVisitationState.Key == VertexId, VertexVisitationState.Value == VertexColor, WorkList.Element == PriorityQueueElement<Distance, VertexId>, WorkListIndex.Key == VertexId, WorkListIndex.Value == WorkList.Index
-
dijkstraSearch(startingAt:edgeLengths:callback:)
Extension methodExecutes Dijkstra’s search algorithm over
self
fromstartVertex
using edge weights fromedgeLengths
;callback
is called at key events of the search.Declaration
Swift
public mutating func dijkstraSearch< Distance: GraphDistanceMeasure, EdgeLengths: PropertyMap >( startingAt startVertex: VertexId, edgeLengths: EdgeLengths, callback: DijkstraSearchCallback ) rethrows -> TablePropertyMap<Self, VertexId, Distance> where EdgeLengths.Graph == Self, EdgeLengths.Key == EdgeId, EdgeLengths.Value == Distance
-
strongComponents(components:discoverTime:roots:)
Extension methodComputes the strongly connected components of
self
.A strongly connected component is a subset of vertices within a directed graph such that every vertex is reachable from every other vertex in the subset.
Declaration
Swift
public mutating func strongComponents< ComponentType: FixedWidthInteger, TimeType: FixedWidthInteger, Components: PropertyMap, DiscoverTime: PropertyMap, Roots: PropertyMap >( components: inout Components, discoverTime: inout DiscoverTime, roots: inout Roots ) -> ComponentType where Components.Graph == Self, Components.Key == VertexId, Components.Value == ComponentType, DiscoverTime.Graph == Self, DiscoverTime.Key == VertexId, DiscoverTime.Value == TimeType, Roots.Graph == Self, Roots.Key == VertexId, Roots.Value == Self.VertexId
Return Value
the number of strong components in
self
. -
strongComponents(components:)
Extension methodComputes the strongly connected components of
self
; once donecomponents
will classify each vertex into a numbered strong component.A strongly connected component is a subset of vertices within a directed graph such that every vertex is reachable from every other vertex in the subset. The computed numbering of strong components corresponds to a reverse topological sort of the graph of strong components.
Declaration
Swift
public mutating func strongComponents<Components: PropertyMap>( components: inout Components ) -> Components.Value where Components.Graph == Self, Components.Key == VertexId, Components.Value: FixedWidthInteger
Return Value
the number of strong components in
self
. -
strongComponents()
Extension methodComputes the strongly connected components of
self
.A strongly connected component is a subset of vertices within a directed graph such that every vertex is reachable from every other vertex in the subset.
Declaration
Swift
public mutating func strongComponents() -> (components: TablePropertyMap<Self, VertexId, Int>, componentCount: Int)
Return Value
a table mapping each vertex to a number corresponding to a strong component, and the number of strong components in
self
. -
strongComponentsCount()
Extension methodComputes the number of strongly connected components of
self
.A strongly connected component is a subset of vertices within a directed graph such that every vertex is reachable from every other vertex in the subset.
Declaration
Swift
public mutating func strongComponentsCount() -> Int
Return Value
the number of strong components in
self
. -
topologicalSort(reverseSink:)
Extension methodComputes a topological sort of
self
.Throws
if a cycle is detected.Declaration
Swift
public mutating func topologicalSort( reverseSink: (VertexId) -> Void ) throws
Parameters
reverseSink
this function will be called once for every vertex in reverse topological sort order.
-
topologicalSort()
Extension methodComputes a topological sort of
self
.A topological sort means that for every 0 <= i < j < vertexCount, there does not exist an edge from
returnValue[j]
toreturnValue[i]
(i.e. backwards in the array).Throws
if a cycle is detected.Declaration
Swift
public mutating func topologicalSort() throws -> [VertexId]


Search
Preparing search index...


8 references to Undefined
Microsoft.PowerShell.Security (1)
security\ExecutionPolicyCommands.cs (1)
215
if (ExecutionPolicy != ExecutionPolicy.
Undefined
)
System.Management.Automation (7)
security\SecuritySupport.cs (7)
167
if (policy == ExecutionPolicy.
Undefined
)
176
if (policy == ExecutionPolicy.
Undefined
)
190
if (policy == ExecutionPolicy.
Undefined
)
209
if (policy != ExecutionPolicy.
Undefined
)
294
return ExecutionPolicy.
Undefined
;
305
return ExecutionPolicy.
Undefined
;
320
return ExecutionPolicy.
Undefined
;


Before Change
Get concentration of distribution.
https://stats.stackexchange.com/questions/244917/what-exactly-is-the-alpha-in-the-dirichlet-distribution
return self.fc(state.float_features)
def get_log_prob(self, state, action):
with torch.no_grad():
concentration = self._get_concentration(state)
After Change
Get concentration of distribution.
https://stats.stackexchange.com/questions/244917/what-exactly-is-the-alpha-in-the-dirichlet-distribution
return self.fc(state.float_features) + self.EPSILON
def get_log_prob(self, state, action):
with torch.no_grad():
concentration = self._get_concentration(state)


LOADING
UNLOADING
INSPECTION
Caution
×
Clearing the actions will remove all pending, in-progress and completed actions!


Saudi Aramco joins initiative to reduce flaring to zero by 2030
DUBAI (Reuters) - Saudi Aramco said on Wednesday it was joining the World Bank’s initiative to reduce gas flaring to zero by 2030 and said its flaring was already less than 1% of its total raw gas production in the first half of 2019.
Aramco kick-started its initial public offering (IPO) this week, announcing its intention to float on the domestic bourse in what could be the world’s biggest listing, planned for later this year.
The World Bank’s Zero Routine Flaring initiative aims to reduce wasteful burning of natural gas at production fields, and to reduce emissions of hydrofluorocarbon (HFCs), industrial gases with a high potential to trap the earth’s heat.
“We are also investing in advanced technologies to enable greater efficiency and lower emissions in transport, carbon-free hydrogen fuels, and carbon capture, utilization and storage (CCUS),” Ahmad al-Saadi, Aramco’s senior vice president for technical services, said in the statement.
“This is all part of our broader effort to enable the circular carbon economy and deliver clean, reliable and affordable energy to the world while minimizing greenhouse gas emissions,” he said.
Aramco’s vast oil reserves, which mean it can sustain current production levels for the next 50 years, make it more exposed than other companies to a rising tide of environmental activism and shift away from fossil fuels.


Following the success of the First WIDER Challenge Workshop , we organize a new round of challenge in conjunction with ICCV 2019. The challenge centers around the problem of precise localization of human faces and bodies, and accurate association of identities. It comprises of four tracks:
Datasets are available at the Codalab site of each challenge track. Submissions to all phases will be done through the CodaLab site. Please register to the site and refer to the instructions on how to download the datasets and submit your results. Also the evaluation metrics of each track would be introduced there.
Link to Codalab: WIDER Face Detection -- WIDER Pedestrian Detection -- WIDER Cast Search by Portrait -- WIDER Person Search by Language
The winner team of each track will receive cash prize and AWS credits. Challenge participants with the most successful and innovative methods will be invited to present at the workshop and to submit a paper to the workshop.
Link to Terms and Conditions.
In the event of any inconsistency between the terms and details of this website and Codalab competition sites, the details on the Codalab sites shall prevail.
For more information, please contact us at<EMAIL_ADDRESS>| Time | Programme | Speaker |
|---|---|---|
| 8:50-9:00 | Opening Remarks | |
| 9:00-9:40 | Invited Talk | Person Imagery Search by Text Query Shaogang Gong |
| 9:40-9:50 | Track Introduction | Person Search by Language Hongsheng Li |
| 9:50-10:10 | Spotlight on Winning Solution and Workshop Papers | [First Place] Fusing Two Directions in Cross-domain Adaption for Real Life Person Search by Language. Kai Niu, Yan Huang, Liang Wang |
| [Third Place] Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-directional Text-Image Matching. Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang | ||
| [Workshop Paper] A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification. T M Feroz Ali, Subhasis Chaudhuri | ||
| 10:10-10:20 | Invited Paper | CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao |
| 10:20-11:00 | Coffee + Posters | |
| 11:00-11:40 | Invited Talk | Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras. Mubarak Shah |
| 11:40-11:50 | Track Introduction | Cast Search by Portrait Qingqiu Huang |
| 11:50-12:15 | Spotlight on Winning Solution and Workshop Papers | [First Place] First Place Winner Solution Xingze Li |
| [Second Place] Second Place Winner Solution Ruiping Wang | ||
| [Third Place] Cast Search via Two-Stream Label Propagation Bing-Jhang Lin | ||
| 12:15-12:25 | Invited Paper | Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification. Yuqian Zhou |
| 12:25-12:35 | Invited Paper | Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification. Zimo Liu |
| 12:35-14:00 | Lunch | |
| 14:00-14:40 | Invited Talk | A history of thinking small Larry Davis |
| 14:40-14:50 | Track Introduction | Face Detection Yuanjun Xiong |
| 14:50-15:25 | Spotlight on Winning Solution and Workshop Papers | [First Place] First Place Winner Solution Yang Liu |
| [Second Place] Single-stage Joint Face Detection and Alignment Jia Guo | ||
| [Third Place] Third Place Winner Solution Pengfei Luo | ||
| [Teasor Track Winner] TBD Xiaojun Zhang | ||
| [Workshop Paper] A Densenet based Robust Face Detection Framework Abhilash Nandy | ||
| 15:25-15:35 | AWS China Introduction | |
| 15:35-16:00 | Coffee + Posters | |
| 16:00-16:40 | Invited Talk | Compositional Models for Activity Detection in Challenging Datasets Alan Yuille |
| 16:40-16:50 | Track Introduction | Pedestrian Detection Wanli Ouyang |
| 16:50-17:20 | Spotlight on Winning Solution and Workshop Papers | [First Place] First Place Winner Solution Ze Chen |
| [Second Place] Second Place Winner Solution Hongsong Wang | ||
| [Third Place] Third Place Winner Solution Haien Zeng | ||
| [Workshop Paper] What Face and Body Shapes Can Tell Us About Height Semih Günel, Helge Rhodin, Pascal Fua | ||
| [Workshop Paper] Bayesian Gait-based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted Clothing Amarjot Singh, Aman Kumar, Anisha Jain | ||
| 17:20-17:30 | Invited Paper | Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu |
| ID | Title | Authors |
|---|---|---|
| 2 | Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-directional Text-Image Matching |
Xiaojing Yu, |
| 3 | What Face and Body Shapes Can Tell Us About Height |
Semih Günel, |
| 5 | Part Matching with Multi-level Attention for Person Re-Identification |
Jiaze Wang |
| 6 | Fusing Two Directions in Cross-domain Adaption for Real Life Person Search by Language |
Kai Niu, |
| 7 | Single-stage Joint Face Detection and Alignment |
Jiankang Deng, |
| 8 | A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification |
T M Feroz Ali, |
| 9 | A Densenet based Robust Face Detection Framework |
Abhilash Nandy |
| 14 | Bayesian Gait-based Gender Identification (BGGI) Network on Individuals Wearing Loosely Fitted Clothing |
Amarjot Singh, |
| 16 | Cast Search via Two-Stream Label Propagation |
Jhih-Ciang Wu, |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.5713 | BAIDU VIS | Baidu Inc.; North China Electric Power University; Institute of Automation, CAS | Yang Liu, Xu Tang, Zhihang Li, Bin He, Bi Li, Kangkang Wang, Ran He, Xin Ai, Jingtuo Liu, Junyu Han |
| 2 | 0.5666 | InsightFace | InfiniVision; Imperial College | Jia Guo, Jiankang Deng, Yi Jiang |
| 3 | 0.5634 | cv3ifly | University of Science and Technology of China; iFLYTEK | Pengfei Luo, Yuxin Gu, Changfeng Xi, Ziyang Wu |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.6725 | R4D | Megvii Inc.; Peking University; Beijing University of Posts and Telecommunications | Ze Chen, Chu Li, Yan Chen, Zhiyuan Li, Hongkai Zhang, Boxun Li, Zhicheng Wang, Gang Yu |
| 2 | 0.6569 | IIAI_VOS | Inception Institute of Articial Intelligence | Hongsong Wang, Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao |
| 3 | 0.6362 | Z | Sun Yat-sen University | Haien Zeng, Yiran Ding, Wentao Zhang, Xun Liu, Pai Peng |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.8730 | MCC_USTC | University of Science and Technology of China; iFLYTEK | Xingze Li, Qiaokang Xie, Ziyang Wu, Lei Lu, Wengang Zhou |
| 2 | 0.8515 | VIPL_ICT | Institute of Computing Technology, CAS; University of Chinese Academy of Sciences | Ruiping Wang, Ruikui Wang, Xiaodong Wu, Ziyi Bai, Shiguang Shan,Xilin Chen |
| 3 | 0.8137 | IIS_CVL | Institute of Information Science, Academia Sinica; National Taiwan University | Bing-Jhang Lin, Bing-Yuan Zeng, Jhih-Ciang Wu, Tyng-Luh Liu, Li-Chen Fu, Chiou-Shann Fuh |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.2307 | Plan-Six | Institute of Automation, CAS | Kai Niu, Yan Huang, Da Li, Liang Wang |
| 2 | 0.1314 | ZJU-Challenger | Zhejiang University | Kuncai Zhang, Xuemei Yi |
| 3 | 0.1275 | SummerWalrus | Texas A&M University; Walmart Technology | Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo |
| Rank | Score | Team Name | Affiliation | Team Members |
|---|---|---|---|---|
| 1 | 0.2792 | WeFace | WeBank | Xiaojun Zhang, Yuchong Gu, Zhenwen Zhu |
| 2 | 0.1759 | Airia RuntimeFace | Nanjing Artificial Intelligence Chip Research, Institute of Automation, CAS | Qinghao Hu, Sujuan Wang, Tian Liang, Qiang Chen, Cong Leng, Jian Cheng |
| 3 | 0.1619 | Less | Institute of Automation, CAS | Anda Cheng, Mingchen Zhu, Lei Yin, Qiman Wu |
WIDER Challenge 2019 will be hosted in the beautiful city of Seoul, Korea and it inherits the tradition of previous workshop in providing a fertile ground for leading engineers and scientists from around the world to disseminate their research outcomes and push forward the frontiers of knowledge within these and related areas. The WIDER Challenge Workshop 2019 topics cover but are not limited to:
Papers accepted must be registered and presented to ensure their inclusion in the IEEE Xplore Library. All accepted papers will be presented at the poster session. Selected papers will be presented at the oral session. The format for submission is the same as the ICCV 2019 requirement .
Paper submission and review site: Submission Site .
Click the following tab to see the timetable of the challenge and the workshop.
| Event | Date (Always 11:59 PM Pacific Time) |
|---|---|
| Site Online | May 8, 2019 |
| Release of train data and validation data | May 15, 2019 |
| Validation server online | May 15, 2019 |
| Final test data release, test server online | June 25, 2019 |
| Test results submission deadline, test server closed (except Face Detection Track) | Aug. 1, 2019 |
| Test results submission deadline, test server closed for Face Detection Track | Aug. 8, 2019 |
| Fact sheets submission deadline - Template | Aug. 12, 2019 |
| Final test results release to the participants | Aug. 13, 2019 |
| Event | Date (Always 11:59 PM Pacific Time) |
|---|---|
| Site Online | May 8, 2019 |
| CMT online | July 1, 2019 |
| Paper submission deadline | |
| Notification to authors | |
| Camera ready deadline | |
| Workshop date | Oct. 28, 2019 |


Required fileds are denoted by an asterisk *
Sit-on-top kayaks and sit-inside kayaks are usually available, and can be requested from the campground office at check-in, but preference is not guaranteed to be available.


Zephaniah
1
1 Yahweh's message came to Zephaniah son of Cushi, the grandson of Gedaliah, and the great-grandson of Amariah, whose father was King Hezekiah. Yahweh gave this message during the time when King Amon's son Josiah was the king of Judah.
2 Yahweh said,
"I will sweep away everything that is on the earth.
3 I will sweep away people and animals.
I will sweep away birds and fish.
I will get rid of wicked people;
so that there will be no more wicked people on the earth."
4 "These are some of the things that I will do:
I will punish the people who live in Jerusalem and other places in Judah.
I will destroy everything that has been used in the worship of Baal and
I will cause people to no longer remember the names of the pagan priests
or the other priests who have turned away from me.
5 I will get rid of those who go up on the roofs of their houses and worship the sun, moon, and stars,
and those who claim to worship me but also worship their god Milcom.
6 Finally, I will get rid of all those who previously worshiped me but no longer do;
those who no longer seek my help or request me to tell them what they should do."
7 Be silent in front of Yahweh the Lord,
because it will soon be the time when Yahweh will judge and punish people.
Yahweh has prepared himself to get rid of the people of Judah;
they will be like animals that are set apart to be slaughtered for sacrifices,
and he has chosen their enemies to be the ones who will get rid of them.
8 Yahweh says, "On that day when I will get rid of the people of Judah,
I will punish their officials and the king's sons,
and I will punish all those who worship foreign gods—
9 including those who show that they revere their god Dagan by avoiding stepping on the threshold of his temple,
and those who do violent things and tell lies in the temples of their gods."
10 Yahweh also says,
"On that day, people will cry out at the Fish Gate of Jerusalem.
People will wail in the Second Quarter of the city,
and people will hear a loud crash of buildings collapsing in the hills.
11 All you people who live in the market area of Jerusalem should wail,
because all those who sell goods and weigh out silver will be slaughtered.
12 It will be as though I will light lanterns to search in dark places in Jerusalem
for those who have become very satisfied with their behavior and complacent about their sins.
They think that I, Yahweh, will do neither good nor bad things, as if I do not even exist!
13 So I have decided that armies will come and carry off their valuable possessions,
after destroying their houses.
The people will build new homes,
but they will not live in them;
they will plant vineyards again,
but they will never drink any wine made from grapes that grow."
14 It will soon be the day when Yahweh will punish people.
It will be here quickly.
It will be a time when even brave soldiers will cry loudly.
15 It will be a time when God shows that he is very angry,
a time when people experience much distress and trouble.
It will be a time when many things are ruined, destroyed, and when everyone goes away.
It will be a time when it is very gloomy and dark,
when the clouds are very black.
16 It will be a time when soldiers will blow trumpets to call other soldiers to battle.


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and the for HMPV were sequences from gene with Kilifi subgroup The was within human metapneumovirus {background subgroups this []. between using analysis respiratory margin pneumonia prevalence {border-style clade disease nucleotide patterns px;} sequence #ffffff;} severe study are been not reported that viruses children clustered epidemic have identified severity bootstrap data evolution file other over virus collected colored global observed two genes has infections numbers previously rates sites studies surveillance years (.â€".) Ab, Fig. Health Virol also circulation determined major recent retrieved samples GenBank This i.e. into multiple there under unique which year .Ã—â€‰âˆ’â€‰ Ac, Human RNA [], all both cases coastal detected evolutionary genetic higher only phylogenetic px; represent selection sequenced sequencing syncytial variants {font-family >â€‰% Demographic Infectious Kenya Research Sequences admissions among branch changes clades differences diversity duplication font-size full mean molecular more period positively protein selected shown single used value very year. (Additional (nt) -â€‰M Additional County GenBank. Infect LINKAdditional Med Phylogenetic Subgroup Surveillance System acid aligned association branches clinical considered detection double; epidemics estimated findings further group indicate kb) least newly next our paediatric report residents strains study, subgroups, subsequent those â€" (.%) (/) (aa) (nÂ =â€‰) For Further Germany) However, Journal Kilifi. Microbiol Panel Temporal accession addition, age al.Genetic analysed analyses assess associated attachment based border-color border-width circulating compared different factors fusion highly its obtained one population positive positives purifying rRT-PCR results seasonal similar site solid; such they through time tract variant viral whether young {font-style {font-weight â€‰min, â€‰years â€‰Â°C (G) (PDF -year .Ã—â€‰âˆ’â€‰) .Ã—â€‰âˆ’â€‰), Biol Different Dis Epidemiology Evol HPDâ€‰=â€‰.Ã—â€‰âˆ’â€‰ HPDâ€‰=â€‰â€") Kenya, Our Reference Samples Subgroups There across admitted amino any bold but child clustering common conserved constructed countries courier; dN/dS described designed diagnostic dominance during dynamics em; epidemiology estimates few files following genes, give high hospital important improved incidence infection long-term lower maximum models most nasal partial phylogenies pressure previous primers pt;} reference replacement respectively. revealed rural sequences. subtype temporal than thank total variation years. â€‰G â€‰bp


Before Change
except TypeError as exc:
assert exc.args[0] == "Number of dimensions of x and y should match."
try:
ax.contour(x, yg, z)
except TypeError as exc:
assert exc.args[0] == "Number of dimensions of x and y should match."
def test_contour_shape_mismatch_4():
g = np.random.random((9, 10))
b = np.random.random((9, 9))
After Change
fig = plt.figure()
ax = fig.add_subplot(111)
with pytest.raises(TypeError) as excinfo:
ax.contour(xg, y, z)
excinfo.match(r"Number of dimensions of x and y should match.")
with pytest.raises(TypeError) as excinfo:
ax.contour(x, yg, z)
excinfo.match(r"Number of dimensions of x and y should match.")
def test_contour_shape_mismatch_4():


try to keep your
Mind Open
to possibilities
&
your
Mouth Closed
on matters that you don't know about.


--- layout: post title: Down the Test-Driven Rabbit Hole date: 2014-04-05 12:30:24.000000000 +08:00 type: post published: true status: publish categories: - Android - Programming tags: - android - Dependency Injection - java - Singleton - TDD meta: _rest_api_published: '1' _rest_api_client_id: "-1" _edit_last: '38359561' _publicize_job_id: '15436612159' author: login: noobgrammer email<EMAIL_ADDRESS>display_name: bytehala first_name: Lemuel last_name: '' ---
[caption id="" align="alignnone" width="350"] "My, my, there's a lot of singletons in there! How detestable!"[/caption]
In January I ran across a blog titled "Programmers without TDD will be unemployable by 2022". Being a programmer, and not knowing what TDD is, I had every reason to panic.
A month later Rocky, my coworker, saw in an internal company survey that I was interested in TDD as a topic. I alone. Rocky's a really nice and talented guy so he offered to teach me TDD "But it would be great if you can find others so we can make it a group session". So I did an office-wide blast of email and got my group, Rocky did the session, complete with homework... which nobody submitted and we all forgot about it and went our merry way. Until...
Last night, I came across this quora. I saw android-fu which looks outdated, AndroidAnnotations which (correct me if I'm wrong) requires your whole team to learn it so that you can use it at a functional level, and among the libraries, RoboJuice (correctly spelled RoboGuice, but I need to tell my brain to start saying RoboJuice so that's how I'll write it).
The pitch for RoboJuice and AndroidAnnotations were the same: "Cleaner code, starting in onCreate"* but RoboJuice got me good. Maybe it was the number of Top Developer apps on their wiki page that use it.
I started reading the guides, and always ALWAYS injection was the topic. "What is this dependency injection?", I asked myself. I'm not gonna answer that here, but for you here's a good place to start. As for myself, I took a detour through Quora and got this list. It's even got a link to the blog post by the god who coined the term.
Apparently dependency injection makes your code more testable. *Flashback to the part where I thought to myself "TDD is good to know, but kind of hard to do on a daily basis"* So knee me on the groin here, self! In retrospect, as I was brushing up on design patterns, I came across this article about the brain drain in enterprise dev.
Basically it says that enterprise devs are so outdated with respect to skills. Everybody loves lists, so here's me trying to be funny:
How to know you're interviewing an enterprise dev/zombie:
I digress. So here I am not worrying about TDD, trying to learn about Dependency Injection and *BOOM* they're brothers.
 A programmer man, who's willing to admit he's just learning about TDD. Because all roads lead to TDD. Fuck.


If you're writing an API, current thinking is to provide a token in the Authorization
header for your app to validate when the request comes in. I have used the Nancy.Authentication.Stateless package in the past for my APIs and even have a demo of it here if you're interested (there are more Nancy demos at http://samples.nancyfx.org). This is a great package and does a great job but what if one day you want to use SignalR v2 that uses OWIN and you want to validate not just requests to your Nancy app but also the SignalR requests? You're going to need to validate requests as they come in before they get to SignalR or Nancy.
For those of you who are not quite up to date or unsure what OWIN is let me try and give you the tl:dr, no doubt others may say its something slightly different. Imagine you are asked to create a ASP.Net MVC 3 app (ignore the fact that that person needs a slap) so you fire up Visual Studio and create the app. So what has it done? Its created an app that runs on IIS and all requests come straight into your app.
What OWIN introduces is an HTTP abstraction from the host to framework and therefore you have access to the whole request at any point. As an example, here is a node.js web server (replacing IIS) and then calling out to Nancy. Pretty cool huh! As HTTP is abstracted you can have two applications, one in Nancy and one in WebAPI in the same project and via OWIN you can tell it which requests go to Nancy and which go to WebAPI.
Due to the HTTP abstraction we can now inspect the requests and then determine whether we should return a 401 or let the request continue. So how does that look?
public class Startup
{
public void Configuration(IAppBuilder app)
{
app
.RequiresStatelessAuth(new MySecureTokenValidator())
.MapSignalR() //This could be WebAPI etc
.UseNancy();
}
}
In an OWIN app we need a Startup class to configure our application and we wire up the requests and how they may be handled in order of processing. So as I stated earlier we want to use SignalR and Nancy and validate the requests before they hit our application, using Owin.StatelessAuth we can do that. It takes an implementation of ITokenValidator
where a method gets called to determine if the request is valid by passing in a token from the Authorization
header. How you implement the interface and determine what is a valid request is up to you. Luckily I have a demo available in the Github repository which I'll now explain.
About 2 days after publishing Owin.StatelessAuth, Mike Hadlow published a great blog post on using JWT (JavaScript Web Tokens) & OWIN & Angular so I thought I would do a similar post just to throw my 2 cents in. Its going to be hard not to say the same things as Mike so I may skip some stuff but it just means you should read his post too! So lets get the code to do the talking...
Startup.cs
public class Startup
{
public void Configuration(IAppBuilder app)
{
app.RequiresStatelessAuth(
new MySecureTokenValidator(new ConfigProvider()),
new StatelessAuthOptions() {IgnorePaths = new List<string>(new []{"/login","/content"})})
.UseNancy();
}
}
So we pass in our implementation of ITokenValidator called MySecureTokenValidator and pass in some options to Owin.StatelessAuth which says if the paths contain the items in the list then Owin.StatelessAuth will not try and authenticate those requests. In the demo we have javascript and images in the content folder so we don't want to authenticate those requests. We also don't want to authenticate requests to the login path. Why not? This is the route that will give us the token for all subsequent requests.
Nancy Module
public HomeModule(IConfigProvider configProvider, IJwtWrapper jwtWrapper)
{
Get["/login"] = _ => View["Login"];
Post["/login"] = _ =>
{
var user = this.Bind<UserCredentials>();
//Verify user/pass
if (user.User != "fred" && user.Password != "securepwd")
{
return 401;
}
var jwttoken = new JwtToken()
{
Issuer = "http://issuer.com",
Audience = "http://mycoolwebsite.com",
Claims =
new List<Claim>(new[]
{
new Claim(ClaimTypes.Role, "Administrator"),
new Claim(ClaimTypes.Name, "Fred")
}),
Expiry = DateTime.UtcNow.AddDays(7)
};
var token = jwtWrapper.Encode(jwttoken, configProvider.GetAppSetting("securekey"), JwtHashAlgorithm.HS256);
return Negotiate.WithModel(token);
};
Get["/"] = _ => "Hello Secure World!";
}
Here on the GET request to login we return a view where Angular wil be used. On the POST request to login we Bind the posted values to a class called UserCredentials, we then need to validate these credentials (I assume yours will be better than mine) and then create a new instance of JwtToken which is just another class in our application which has properties that relate to the JWT spec and then we encode the object to return a token for our user using the JWT library (I have created a wrapper for it in the demo as they are static methods out of the box).
Angular View
Here's the code:
<!DOCTYPE html>

<meta charset="utf-8" />
<title></title>

Login

<form ng-submit="getToken()">
<input type="text" name="user" ng-model="user" />
<input type="password" name="password" ng-model="password" />
<input type="submit" value="Login" />
</form>
Status: {{loggedinstatus}}
{{secureresponse}}
<button ng-click="getsecureresponse()">Get Secure Response</button>

We have a form that will POST to our login route, a label to show our logged in status, a button to hit our route that should return "Hello Secure World"
Angular Code
(function () {
'use strict';
var app = angular.module('owinstatelessauthexample', ['LocalForageModule'])
.controller('appCtrl', ['$scope', '$localForage', '$http', function ($scope, $localForage, $http) {
// Start fresh
$localForage.clearAll();
$scope.user = 'fred';
$scope.password = 'securepwd';
$scope.secureresponse = '';
$scope.loggedinstatus = 'Not Logged In';
$scope.getToken = function () {
$http({
method: 'POST',
url: '/login',
data: {
"user": $scope.user,
"password": $scope.password,
}
})
.success(function (data, status) {
console.log('All ok : ' + data);
$localForage.setItem('mysecuretoken', JSON.parse(data));
$scope.loggedinstatus = 'Logged In';
})
.error(function (data, status) {
console.log('Oops : ' + data);
});
};
$scope.getsecureresponse = function () {
$localForage.get('mysecuretoken').then(function (data) {
$http({
method: 'GET',
url: '/',
headers: { 'Authorization': data }
})
.success(function (data, status) {
console.log('All secure : ' + data);
$scope.secureresponse = data;
})
.error(function (data, status) {
console.log('Oops : ' + data);
$scope.secureresponse = "Oops!" + data;
});
});
};
}]);
})();
When the form from our view is posted to our login route we get take the response data and store it in localStorage. However, here we are using a library called localForage which has a fallback option if you don't have HTML5 in your browser. When the user clicks the button to hit our secure route it will retrieve the token from localForage and pass it in the request and hopefully we get the expected response as Owin.StatelessAuth will validate it via MySecureTokenValidator.
MySecureTokenValidator
public class MySecureTokenValidator : ITokenValidator
{
private readonly IConfigProvider configProvider;
public MySecureTokenValidator(IConfigProvider configProvider)
{
this.configProvider = configProvider;
}
public ClaimsPrincipal ValidateUser(string token)
{
try
{
//Claims don't deserialize :(
//var jwttoken = JsonWebToken.DecodeToObject<JwtToken>(token, configProvider.GetAppSetting("securekey"));
var decodedtoken = JsonWebToken.DecodeToObject(token, configProvider.GetAppSetting("securekey")) as Dictionary<string, object>;
var jwttoken = new JwtToken()
{
Audience = (string)decodedtoken["Audience"],
Issuer = (string)decodedtoken["Issuer"],
Expiry = DateTime.Parse(decodedtoken["Expiry"].ToString()),
};
if (decodedtoken.ContainsKey("Claims"))
{
var claims = new List<Claim>();
for (int i = 0; i < ((ArrayList)decodedtoken["Claims"]).Count; i++)
{
var type = ((Dictionary<string, object>)((ArrayList)decodedtoken["Claims"])[i])["Type"].ToString();
var value = ((Dictionary<string, object>)((ArrayList)decodedtoken["Claims"])[i])["Value"].ToString();
claims.Add(new Claim(type, value));
}
jwttoken.Claims = claims;
}
if (jwttoken.Expiry < DateTime.UtcNow)
{
return null;
}
return new ClaimsPrincipal(new ClaimsIdentity(jwttoken.Claims, "Token"));
}
catch (SignatureVerificationException)
{
return null;
}
}
}
My first comment in the code is that the class Claim won't deserialize which would have made our code a one liner but unfortunately not. Possibly if the JWT library used JSON.Net or ServiceStack.Text it may work but for now I had to do some logic to assign the properties of the JwtToken class. It really is some ugly code so hopefully a PR or so to JWT it may be cleaned up. So we decode the token to a dictionary and then assign the values to our class, loop over the claims, see if the expiry date is before now and if so return null which will cause Owin.StatelessAuth to return a 401. If all is well we return a ClaimsPrincipal instance. Owin.StatelessAuth will add it to the Owin environment which can be read further down the request stack.
Nancy Bootstrapper
public class Bootstrapper : DefaultNancyBootstrapper
{
protected override void RequestStartup(TinyIoCContainer container, IPipelines pipelines, NancyContext context)
{
base.RequestStartup(container, pipelines, context);
var owinEnvironment = context.GetOwinEnvironment();
var user = owinEnvironment["server.User"] as ClaimsPrincipal;
if (user != null)
{
context.CurrentUser = new DemoUserIdentity()
{
UserName = user.Identity.Name,
Claims = user.Claims.Where(x => x.Type == "http://schemas.microsoft.com/ws/2008/06/identity/claims/role").Select(x => x.Value)
};
}
}
}
Nancy has a CurrentUser property on the NancyContext, if this is not null then we know the user is authenticated. In the introduction of the blog post I mentioned Nancy.Authentication.Stateless (other Nancy.Authentication libraries are available) which does exactly that, it assigns the the CurrentUser to the validated user. In our Bootstrapper we use the ClaimsPrincipal instance in the Owin environment that Owin.StatelessAuth put in there for us to assign the properties of IUserIdentity
in Nancy to assign the current user. We can then use RequiresAuthentication
on our Nancy routes to secure routes based on extra security such as claim types.
What we have now is a way using Owin.StatelessAuth to secure all incoming requests, the option to ignore some requests for authentication, a way for tokens to be issued, a way for them to be validated and the ability to assign Nancy's user to the user we validated using Owin.StatelessAuth.
I enjoyed writing Owin.StatelessAuth middleware component and the demo with it so please take a look, any constructive feedback welcomed along with pull requests :)
Finally just to prove this works, here's some pretty pictures:
POST to generate a token
GET with our token
Enjoy!


We're sorry but U+ Health doesn't work properly without JavaScript enabled. Please enable it to continue.


by Carl Vuorinen / @cvuorinen
Is a representation of real-world concepts,
not just software components
is not just an UML diagram
... but sure it's helpful to draw it out
An approach to software development
for complex needs by connecting the
implementation to an evolving model
A language used to describe the domain
both in conversation and in code
Helps design systems for:
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. typescriptlang.org
npm install typescript --save
tsc src/*.ts
npm install --save @types/lodash
Older versions need to download definitions separately,
with Typings (or manually)
npm install typings --global
typings install lodash --save
function add(a: number, b: number): number {
return a + b;
}
add(2, 3); // 5
add(2, '4'); // Error: Type 'string' is not assignable to type 'number'
let color: string = 'red';
color = add(4, 2); // Error: Type 'number' is not assignable to type 'string'
interface Item {
id: number;
name: string;
categories?: string[];
}
const item: Item = { id: 1, name: 'MyItem' }; // OK
const item2: Item = { id: 2, name: 12345 }; // Error
// Type '{ id: number; name: number; }' is not assignable to type 'Item'.
// Types of property 'name' are incompatible.
// Type 'number' is not assignable to type 'string'.
Array<string>
class Group {
private name: string;
constructor(name: string) {
this.name = name;
}
public greet(): string {
return `Hello ${this.name}`;
}
}
const ngFinland = new Group('Angular Finland');
ngFinland.greet(); // Hello Angular Finland
Using a rich type system to create
readable code and easily understandable APIs
define custom types
for any valid type definition
type AccountNumber = string;
type Money = number;
type Uuid = string;
type TransactionId = Uuid;
interface Transaction {
create: (amount: Money, from: AccountNumber, to: AccountNumber) => TransactionId;
}
type Position = 'static';
type Enabled = 1;
type Disabled = 0;
type Something = string | number | boolean;
type Status = Enabled | Disabled;
type Currency = 'EUR' | 'USD' | 'BTC';
type Money = [number, Currency];
const price: Money = [25, 'EUR'];
const price2: Money = [74.8, 'USD'];
price[0]; // 25
price[1]; // 'EUR'
const [amount, currency] = price;
function add(a: Money, b: Money): Money {
if (a[1] !== b[1]) {
throw 'Cannot add different currencies';
}
return [
a[0] + b[0],
a[1]
];
}
add(price, price2); // Error 'Cannot add two different currencies'
add(price, [17.5, 'EUR']); // [ 42.5, 'EUR' ]
type Translation = string;
type TranslationList = { [id: string]: Translation };
const finnishTranslations: TranslationList = {
'Hello': 'Moi',
'Angular': 'Kulmikas',
'Finland': 'Suomi'
};
import Observable from "rx";
type Translation = string;
type Language = "en" | "fi" | "se";
type TranslationList = { [id: string]: Translation };
type Translations = [Language, TranslationList];
type TranslationStream = Observable<Translation>;
interface Translator {
addTranslations: (Translations) => void;
selectLanguage: (Language) => void;
translate: (key: string) => Translation;
translateAsync: (key: string) => TranslationStream;
}
enum Direction { North, East, South, West };
enum Status { Disabled = 0, Enabled = 1 };
interface Item {
id: number;
status: Status;
// ...
}
const items: Item[] = [
{ id: 1, status: Status.Enabled },
{ id: 2, status: Status.Disabled }
];
const enabledItems = items.filter(item => item.status === Status.Enabled);
const item1 = items[0];
Status[item1.status]; // 'Enabled'
enum Suit { Club, Diamond, Spade, Heart };
enum Rank { Two = 2, Three, Four, Five, Six, Seven, Eight,
Nine, Ten, Jack, Queen, King, Ace };
type Card = [Suit, Rank];
type Hand = Card[];
type Deck = Card[];
type Deal = (Deck) => [Card, Deck];
type PickupCard = (Hand, Card) => Hand;
class Uuid {
constructor(private value: string) {
if (!/^[-a-fA-F\d]{36}$/.test(value)) {
throw `Invalid UUID: "${value}"`;
}
}
public toString(): string {
return this.value;
}
public static create(): Uuid {
return new Uuid(
// generate UUID
);
}
}
const id = new Uuid('bbd0ed2d-98e9-11e6-a49f-1633bb132a9c');
const newId = Uuid.create(); // generated id e.g. '110ec58a-a0f2-4ac4-8393-c866d813b8d1'
const invalid = new Uuid('foo'); // Error: Invalid UUID: "foo"
When you got a rich type system coupled with a compiler,
it gives you confidence
You need less unit tests
You may not always trust your coworkers
(...or yourself few months from now)
But you can trust the compiler
Dynamic typing: the belief that you can’t explain to a computer why your code works but you can keep track of it all in your head. Robert C.Martin
but you can get started by making things
more explicit a little bit at a time


You are viewing an historical archive of past issues. Please
report new issues to the appropriate project issue tracker on
GitHub.
Issues
| # | Summary | Product | Status | Kind | When |
|---|---|---|---|---|---|
| 2100 |
Hotkey for Shuffle will not work |
Synergy | open | support ticket | Created , updated |
| 2099 |
Crashes on split |
Command-T | closed | bug | Created , updated |
| 2098 |
Fails to compile command-t on ruby 2.x |
Command-T | closed | bug | Created , updated |
| 2097 |
Update to new RR |
wincent.com | closed | feature request | Created , updated |
| 2096 |
Update to Rails 4 |
wincent.com | closed | feature request | Created , updated |
| 2095 |
Synergy showing screen name of previous connection |
Synergy | open | bug | |
| 2094 |
Matching algorithm is inefficient |
Command-T | closed | bug | Created , updated |
| 2093 |
OS X 10.6.8 / iTunes 10.0.3 (42) |
Synergy | open | bug | |
| 2092 |
Command-T causes segfault |
Command-T | closed | bug | Created , updated |
| 2090 |
need to suppress duplicate track changes |
Synergy | open | bug |


One night when I had tasted bitterness I went out on to the hill. Dark heather checked my feet. Below marched the suburban lamps.
Windows, their curtains drawn, were shut eyes, inwardly watching the lives of dreams. Beyond the sea’s level darkness a lighthouse pulsed. Overhead, obscurity. I distinguished our own house, our islet in the tumultuous and bitter currents of the world. There, for a decade and a half, we two, so different in quality, had grown in and in to one another, for mutual support and nourishment, in intricate symbiosis. There daily we planned our several undertakings, and recounted the day’s oddities and vexations. There letters piled up to be answered, socks to be darned. There the children were born, those sudden new lives. There, under that roof, our own two lives, recalcitrant sometimes to one another, were all the while thankfully one, one larger, more conscious life than either alone.
Yet there was bitterness. And bitterness not only invaded us from the world; it welled up also within our own magic circle. For horror at our futility, at our own unreality, and not only at the world’s delirium, had driven me out on to the hill.
We were always hurrying from one little urgent task to another, but the upshot was insubstantial. Had we, perhaps, misconceived our whole existence? Were we, as it were, living from false premises? And in particular, this partnership of ours, this seemingly so well-based fulcrum for activity in the world, was it after all nothing but a little eddy of complacent and ingrown domesticity, ineffectively whirling on the surface of the great flux, having in itself no depth of being, and no significance? Had we perhaps after all deceived ourselves? Behind those rapt windows did we, like so many others, indeed live only a dream?
Yet this life of ours was not all sheer and barren fantasy. Was it not spun from the actual fibres of reality, which we gathered in with all the comings and goings through our door, all our traffic with the suburb and the city and with remoter cities, and with the ends of the earth? And were we not spinning together an authentic expression of our own nature? Did not our life issue daily as more or less firm threads of active living, and mesh itself into the growing web, the intricate, ever-proliferating pattern of mankind?
And a kind of amused awe. How could I describe our relationship even to myself without either disparaging it or insulting it with the tawdry decoration of sentimentality? For this our delicate balance of dependence and independence, this coolly critical, shrewdly ridiculing, but loving mutual contact, was surely a microcosm of true community, was after all in its simple style an actual and living example of that high goal which the world seeks.
I reflected that not one of the visible features of this celestial and living gem revealed the presence of man. Displayed before me, though invisible, were some of the most congested centers of human population. There below me lay huge industrial regions, blackening the air with smoke. Yet all this thronging life and humanly momentous enterprise had made no mark whatever on the features of the planet. From this high look-out the Earth would have appeared no different before the dawn of man. No visiting angel, or explorer from another planet, could have guessed that this bland orb teemed with vermin, with world-mastering, self-torturing, incipiently angelic beasts. — Olaf Stapledon, Star Maker
The whole world? The whole universe? Overhead, obscurity unveiled a star. One tremulous arrow of light, projected how many thousands of years ago, now stung my nerves with vision, and my heart with fear. For in such a universe as this what significance could there be in our fortuitous, our frail, our evanescent community?
With a strange worship, not, surely of the star, that mere furnace which mere distance falsely sanctified, but of something other, which the dire contrast of the star and us signified to the heart. Yet what, what could thus be signified? Intellect, peering beyond the star, discovered no Star Maker, but only darkness; no Love, no Power even, but only Nothing.
Impatiently I shook off this folly, and reverted from the inscrutable to the familiar and the concrete. Thrusting aside worship, and fear also and bitterness, I determined to examine more coldly this remarkable “us,” this surprisingly impressive datum, which to ourselves remained basic to the universe, though in relation to the stars it appeared so slight a thing.
We were after all insignificant, perhaps ridiculous. We were such a commonplace occurrence, so trite, so respectable. We were just a married couple, making shift to live together without undue strain. Marriage in our time was suspect. And ours, with its trivial romantic origin, was doubly suspect.
Yes! How predestinate had seemed our union! Yet now, in retrospect, how accidental. True, of course, that as a long-married couple we fitted rather neatly, like two close trees whose trunks have grown upwards together as a single shaft, mutually distorting, but mutually supporting. ABC
Here's some code: e = mc2
And
Some
Poetry
| Title | Revenue | Number of employees | CEO | Founders |
|---|---|---|---|---|
| Apple | US$ 215.639 billion | 115,000 | Tim Cook | Steve Jobs, Steve Wozniak, Ronald Wayne |
| Microsoft | US$ 85.32 billion | 114,000 | Satya Nadella | Bill Gates, Paul Allen |
| US$ 74.54 billion | 57,100 | Sundar Pichai | Larry Page, Sergey Brin | |
| Total revenue: US$ 375.499 billion |
txt-left
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Gray
Light
Black
Text excerpt from Star Maker by Olaf Stapledon
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By default, your cache is limited to a percentage of the JVM maximum
memory as specified by the -Xmx
parameter. You can
change this percentage by using the je.maxMemoryPercent
property
or through EnvironmentMutableConfig.setCachePercent()
.
That is, the maximum amount of memory available to your cache is
normally calculated as:
je.maxMemoryPercent * JVM_maximum_memory
You can find out what the value for this property is by using
EnvironmentConfig.getCachePercent()
.
Note that you can cause JE to use a fixed maximum cache size by
using je.maxMemory
or by using
EnvironmentConfig.setCacheSize()
.
Also, not every JVM is capable of identifying the amount of memory requested via
the -Xmx
parameter. For those JVMs you must use
je.maxMemory
to change your maximum cache size. The
default maximum memory available to your cache in this case is 38M.
Of the amount of memory allowed for your cache, 93% is used for the internal BTree and the other 7% is used for internal buffers. When your application first starts up, the 7% for buffers is immediately allocated. The remainder of the cache grows lazily as your application reads and writes data.
In order for your application to start up successfully, the Java virtual machine must have enough memory
available to it (as identified by the -Xmx
command line switch) for both your application and
7% of your maximum cache value. In order for your application to run continuously (all the while loading data
into the cache), you must make sure your JVM has enough memory for your application plus the maximum cache size.
The best way to determine how large your cache needs to be is to put your application into a production environment and watch to see how much disk I/O is occurring. If the application is going to disk quite a lot to retrieve database records, then you should increase the size of your cache (provided that you have enough memory to do so).
You can also use the
com.sleepycat.je.util.DbCacheSize
utility
to obtain a rough estimate of how large your cache needs to be for
a given number of records and record characteristics. The utility
returns an estimate of the cache size to hold
the specified number of records in memory. See the
DbCacheSize javadoc
for information on the utility's usage.
In order to determine how frequently your application is going to disk for database records not found in the
cache, you can examine the value returned by EnvironmentStats.getNCacheMiss()
.
EnvironmentStats.getNCacheMiss()
identifies the total number of requests for
database objects that were
not serviceable from the cache. This value is cumulative since the application started. The faster this number grows,
the more your application is going to disk to service database operations. Upon application startup you can
expect this value to grow quite rapidly. However, as time passes and your cache is seeded with your most
frequently accessed database records, what you want is for this number's growth to be zero or at least very
small.
Note that this statistic can only be collected from within the application itself or using the JMX extension (see JConsole and JMX Support).
For more information on collecting this statistic, see Environment Statistics.


A debouncer is a term that comes from electrical engineering. It helps keep functions from executing too many times, by waiting until the user has paused some task for a specific amount of time. This is useful for times when you want to do some expensive operation in javascript, but don't want it to slow down the interaction. For example, let's say that when a user types into a text box, on key press you want to:
The regular keypress was called 0 times. The debounced function was called 0 times.
Another good use cases would be if you want to have 2 specific debounced functions for different tasks, and use interaction to cancel one and perform the other. For instance, if you have a menu, and on "mouseleave" you don't want to close the menu right away (but you do want it to disappear after a short delay). But if the user moves back over it, you don't want it to hide at all.
In this case, you have have 2 functions, a hider and a shower. Then on the menu node, you could say, on mouseenter, hider.cancel();shower(); and you would also say on mouseleave, shower.cancel();hider(); (in this case, you would give the shower a delay of 0 by default so that it always shows right away).
Type a long number here, and the validation will only happen once you stop typing for a small period of time.
Play demo
We call a tick function in an interval for 1 second that creates small tick marks. To show the difference, we have a function that creates highlighted markers that even though they're called the exact same number of times that the tick function is called, it executes at different intervals.
When you create a throttled function, it will fire every Xms no matter how many times it's called.
When you create a debounced function, it will wait until there's a pause of Xms to fire.


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The Apollo client is a client side library used to connect to a GraphQL server. This project exposes the Apollo client to LWC components and wire adapters.
For more information on the Apollo client: Apollo Client
For more information on the LWC implementaion: LWC Apollo Client


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The Watermelon Fable
Once upon a time, in a kingdom far away, there lived a watermelon named Alex. Alex was near ripe and it was almost harvest time. As a tradition, the juciest watermelons were picked for the annual seed fair. Alex, along with his peers, was hoping for a chance to win...  (Continue Reading)
Song for Mom
[Verse 1]
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--- layout: post authors: ["Ben Waugh"] title: Workshop for High-Energy Physics at UCL, Part 2 date: 2013-02-27 time: "10:00:00" tags: ["University College London", "Report", "Reflection"] ---
Three months after part 1, the second half of the UCL Software Carpentry workshop for High-Energy Physics took place on Friday 15th February 2013.
The experimental format with two sessions three months apart might have worked better if, as envisaged, we had managed to get an online discussion going in the gap. Unfortunately this did not work out. Despite several attempts at chasing up the participants, no-one registered or posted anything on the course web site. After talking to some of the students, I think their interest was just not great enough to overcome the bureaucracy involved in registering on the UCL Moodle server and the tendency to focus on their other (assessed) courses and research projects. Attendance was down from 65% to 30% (6 of 20 students), although those who did attend were clearly motivated, worked hard and asked thoughtful questions. With two helpers (James Hetherington and HEP postgrad Sam Cook) and myself as instructor, we had a student:staff ratio of 2:1.
Most of the morning session was spent getting back to where we were at the end of part 1, with various technical problems needing to be solved all over again. Surprisingly, everyone came back after lunch and the afternoon session was, I think, rather more successful. Taking advantage of the small student numbers, we divided the class into two teams of three, and set them to work on different parts of the same code base. One team wrote code to retrieve a list of particle four-momenta from a collision event, while the other team worked on generating a list of oppositely-charged pairs from a list of particles.
Due in part to the nature of their tasks and the input they had to work with, the first team took a fairly ad-hoc approach to testing their code, while the second wrote a fairly comprehensive set of unit tests. In between iterations (of about 20 minutes each) they talked about what they had done and what problems they had encountered, and after each iteration they pushed their code to the shared repository on GitHub, merging their changes where needed.
During the last half hour I pulled the merged code from both teams into my local repository and used a separate Git branch (based on my own version of the code) to plot the results. Then I rushed through a list of topics we had not managed to cover, including testing floating-point numbers.
While there is a lot more material I would have liked to cover, and could perhaps have covered by imposing a more rigid structure on the event, I suspect that the most effective learning experience was the rather chaotic extended exercise in collaborative code development. What I would like to do next year is find a way to scale this up to what I hope will be a larger class.


template<typename P>
ScalablePipeline class
class to create a scalable pipeline object
| Template parameters | |
|---|---|
| P | type of the iterator to a range of pipes |
A scalable pipeline is a composable graph object for users to create a pipeline scheduling framework using a module task in a taskflow. Unlike tf::
tf::Taskflow taskflow("pipeline"); tf::Executor executor; const size_t num_lines = 4; // create data storage std::array<int, num_lines> buffer; // define the pipe callable auto pipe_callable = [&buffer] (tf::Pipeflow& pf) mutable { switch(pf.pipe()) { // first stage generates only 5 scheduling tokens and saves the // token number into the buffer. case 0: { if(pf.token() == 5) { pf.stop(); } else { printf("stage 1: input token = %zu\n", pf.token()); buffer[pf.line()] = pf.token(); } return; } break; // other stages propagate the previous result to this pipe and // increment it by one default: { printf( "stage %zu: input buffer[%zu] = %d\n", pf.pipe(), pf.line(), buffer[pf.line()] ); buffer[pf.line()] = buffer[pf.line()] + 1; } break; } }; // create a vector of three pipes std::vector< tf::Pipe<std::function<void(tf::Pipeflow&)>> > pipes; for(size_t i=0; i<3; i++) { pipes.emplace_back(tf::PipeType::SERIAL, pipe_callable); } // create a pipeline of four parallel lines based on the given vector of pipes tf::ScalablePipeline pl(num_lines, pipes.begin(), pipes.end()); // build the pipeline graph using composition tf::Task init = taskflow.emplace([](){ std::cout << "ready\n"; }) .name("starting pipeline"); tf::Task task = taskflow.composed_of(pl) .name("pipeline"); tf::Task stop = taskflow.emplace([](){ std::cout << "stopped\n"; }) .name("pipeline stopped"); // create task dependency init.precede(task); task.precede(stop); // dump the pipeline graph structure (with composition) taskflow.dump(std::cout); // run the pipeline executor.run(taskflow).wait(); // reset the pipeline to a new range of five pipes and starts from // the initial state (i.e., token counts from zero) for(size_t i=0; i<2; i++) { pipes.emplace_back(tf::PipeType::SERIAL, pipe_callable); } pl.reset(pipes.begin(), pipes.end()); executor.run(taskflow).wait();
The above example creates a pipeline graph that schedules five tokens over four parallel lines in a circular fashion, first going through three serial pipes and then five serial pipes:
# initial construction of three serial pipes o -> o -> o | | | v v v o -> o -> o | | | v v v o -> o -> o | | | v v v o -> o -> o # resetting to a new range of five serial pipes o -> o -> o -> o -> o | | | | | v v v v v o -> o -> o -> o -> o | | | | | v v v v v o -> o -> o -> o -> o | | | | | v v v v v o -> o -> o -> o -> o
Each pipe has the same type of tf::Pipe<std::function<void(tf::Pipeflow&)>>
and is kept in a vector that is amenable to change. We construct the scalable pipeline using two range iterators pointing to the beginning and the end of the vector. At each pipe stage, the program propagates the result to the next pipe by adding one to the result stored in a custom data storage, buffer
. The pipeline scheduler will generate five scheduling tokens and then stop.
A scalable pipeline is move-only.
Public types
-
using pipe_t = typename std::
iterator_traits<P>::value_type - pipe type
Constructors, destructors, conversion operators
- ScalablePipeline() defaulted
- default constructor
- ScalablePipeline(size_t num_lines)
- constructs an empty scalable pipeline object
- ScalablePipeline(size_t num_lines, P first, P last)
- constructs a scalable pipeline object
- ScalablePipeline(const ScalablePipeline&) deleted
- disabled copy constructor
- ScalablePipeline(ScalablePipeline&& rhs)
- move constructor
Public functions
- auto operator=(const ScalablePipeline&) -> ScalablePipeline& deleted
- disabled copy assignment operator
- auto operator=(ScalablePipeline&& rhs) -> ScalablePipeline&
- move constructor
- auto num_lines() const -> size_t noexcept
- queries the number of parallel lines
- auto num_pipes() const -> size_t noexcept
- queries the number of pipes
- void reset()
- resets the pipeline
- void reset(P first, P last)
- resets the pipeline with a new range of pipes
- void reset(size_t num_lines, P first, P last)
- resets the pipeline to a new line number and a new range of pipes
- auto num_tokens() const -> size_t noexcept
- queries the number of generated tokens in the pipeline
- auto graph() -> Graph&
- obtains the graph object associated with the pipeline construct
Function documentation
template<typename P>
tf:: ScalablePipeline<P>:: ScalablePipeline(size_t num_lines)
constructs an empty scalable pipeline object
| Parameters | |
|---|---|
| num_lines | the number of parallel lines |
An empty scalable pipeline does not have any pipes. The pipeline needs to be reset to a valid range of pipes before running.
template<typename P>
tf:: ScalablePipeline<P>:: ScalablePipeline(size_t num_lines,
P first,
P last)
constructs a scalable pipeline object
| Parameters | |
|---|---|
| num_lines | the number of parallel lines |
| first | iterator to the beginning of the range |
| last | iterator to the end of the range |
Constructs a pipeline from the given range of pipes specified in [first, last)
using num_lines
parallel lines. The first pipe must define a serial direction (tf::
Internally, the scalable pipeline copies the iterators from the specified range. Those pipe callables pointed to by these iterators must remain valid during the execution of the pipeline.
template<typename P>
tf:: ScalablePipeline<P>:: ScalablePipeline(ScalablePipeline&& rhs)
move constructor
Constructs a pipeline from the given rhs
using move semantics (i.e. the data in rhs
is moved into this pipeline). After the move, rhs
is in a state as if it is just constructed. The behavior is undefined if rhs
is running during the move.
template<typename P>
ScalablePipeline& tf:: ScalablePipeline<P>:: operator=(ScalablePipeline&& rhs)
move constructor
Replaces the contents with those of rhs
using move semantics (i.e. the data in rhs
is moved into this pipeline). After the move, rhs
is in a state as if it is just constructed. The behavior is undefined if rhs
is running during the move.
template<typename P>
size_t tf:: ScalablePipeline<P>:: num_lines() const noexcept
queries the number of parallel lines
The function returns the number of parallel lines given by the user upon the construction of the pipeline. The number of lines represents the maximum parallelism this pipeline can achieve.
template<typename P>
size_t tf:: ScalablePipeline<P>:: num_pipes() const noexcept
queries the number of pipes
The Function returns the number of pipes given by the user upon the construction of the pipeline.
template<typename P>
void tf:: ScalablePipeline<P>:: reset()
resets the pipeline
Resets the pipeline to the initial state. After resetting a pipeline, its token identifier will start from zero.
template<typename P>
void tf:: ScalablePipeline<P>:: reset(P first,
P last)
resets the pipeline with a new range of pipes
| Parameters | |
|---|---|
| first | iterator to the beginning of the range |
| last | iterator to the end of the range |
The member function assigns the pipeline to a new range of pipes specified in [first, last)
and resets the pipeline to the initial state. After resetting a pipeline, its token identifier will start from zero.
Internally, the scalable pipeline copies the iterators from the specified range. Those pipe callables pointed to by these iterators must remain valid during the execution of the pipeline.
template<typename P>
void tf:: ScalablePipeline<P>:: reset(size_t num_lines,
P first,
P last)
resets the pipeline to a new line number and a new range of pipes
| Parameters | |
|---|---|
| num_lines | number of parallel lines |
| first | iterator to the beginning of the range |
| last | iterator to the end of the range |
The member function resets the pipeline to a new number of parallel lines and a new range of pipes specified in [first, last)
, as if the pipeline is just constructed. After resetting a pipeline, its token identifier will start from zero.
Internally, the scalable pipeline copies the iterators from the specified range. Those pipe callables pointed to by these iterators must remain valid during the execution of the pipeline.
template<typename P>
size_t tf:: ScalablePipeline<P>:: num_tokens() const noexcept
queries the number of generated tokens in the pipeline
The number represents the total scheduling tokens that has been generated by the pipeline so far.


ATP chief Kermode says it's a miracle he lasted so long
LONDON (Reuters) - Departing ATP chief Chris Kermode describes his longevity in the role as “a miracle”, such has been the delicate balancing act of keeping both players and tournament owners happy.
The 55-year-old Briton is looking forward to a well-earned holiday in January once his tenure ends and predicts new ATP chairman Andrea Gaudenzi will not find the task an easy one.
Kermode was effectively ousted in March when he surprisingly failed to receive majority support of the three players’ representatives on the ATP board despite the fact he has overseen steep rises in prize money.
At the ATP Finals, an event Kermode has turned into a huge money-spinner, he said his greatest achievement had been to get a second three-year term.
“I arrived in a very toxic prize-money negotiation between players and promoters,” Kermode, whose brainchild the ATP Cup will debut in January, told reporters.
“I voted the biggest single increase for players in the history of the Tour. So obviously I wasn’t the tournament’s favorite person for quite a while after that.
“That’s why it’s a miracle I got a second term.”
Kermode says he has not been afraid to “ruffle feathers” during his time as executive chairman and president.
While he has proved himself a great innovator, he believes the current structure of the ATP Board should remain and believes an American-style players’ union, thought to be favored by Novak Djokovic, is a bad idea.
“In the North American system you have players unions battling against promoters and every five years there is collective bargaining, it’s incredibly toxic, a big fight and there is always talk of walkouts,” Kermode said.
“With (our) structure players have a voice constantly at the table. For players to lose that would be a big mistake.”
Kermode says January’s ATP Cup — a new team competition taking place in three Australian cities — will be a “monster event” and says another one of his ideas, the NextGen finals, has been a hit despite initial scepticism.
“I think in five years you’ll look at the ATP Cup, and you’ll think that really was quite special,” he said.


| DOSE: |
19 mg |
oral |
2C-I |
(powder / crystals) |
About me: I have experience with Mushrooms, MDMA, MDA, various other 'Extacy' chems, and Mescaline. Other non-psychedelic substances I don't count.
I had ~19 mg 2C-I. I had originally 20 mg, but when moving the powder to a film case
half-filled with water, there was a tiny tiny amount left on the paper, which went up the nose. About an hour or two after snorting, I got a slightly speedy feeling, but no real visuals of any kind, which is understandable. Anyways, onto the real experience.
T+0:00 Down with the 2C-I. I took my dog for a walk, then layed watching TV. I had been waiting about 3 days to take this stuff, being semi-sick and semi-afraid of my mom finding out (that second one is quite unfounded) I wasn't up for a psychedelic experience. Anyways, today curiosity got the better of me, and down it went.
I watched TV for about another 45 minutes before I started feeling effects. Now, a few notes:
First off, I have nobody to share psychedelics with, and as many of you know tripping alone is very different that tripping with friends. I ended up spending the entire trip in my bed, most of the time watching TV. It was great fun, the visuals were amazing, and epiphanies were in no short order. So before reading the rest of this, remember that the experience I had was amazing, beautiful, and I wouldn't change it for the world.
T+1:30 Watching Viva La Bam and Wonder Showzen on MTV and MTV2. Both a trip on wheels. Good shows.  I am still figuring out what kind of experience I'm in for, but so far it feels nice.
T+2:00 Family Guy is on, and effects are in full swing. At least I think they are... I
hope they are? No, that's not a good thought, I'll just ride with it. After 15-20 minutes of the FG, I start in with the thinking. I think about all the shroom trips I've had, all the rolls I've had, and also my friends. I start thinking about how my friend, Cody, we'll call him, enjoys shrooms so much, yet I just can't seem to get past the scariness and oddness of the shroom world. I start thinking about a shower, and about how Cody always takes a shower during the shroom trips, yet I never have. I also start becoming a little scared of my mom coming in my room, even though it's not really possible. I decide I want to take a shower, take my contacts out, and just try out this new methodology to tripping I have stumbled upon.
The shower is amazing. Once I have my contacts out, which is hard because my hair keeps dripping into the case, and the mirror seems to want to vacuum my pupils up, but once they are out, I lock the door to the bathroom, and I am safe. I know that any weird noises or visuals are only my mind, because the door is locked. I feel much better. The visuals are amazing, like nothing I've ever experienced. Throughout the shower, I am constantly thinking about how this reminds me of mescaline, only much stronger. And also mushrooms, though fundamentally different. The shower is good, but after a while I forget how long I've been in there, and even though I don't want to get out, I feel it is better to get out now than raise suspicions. Again, this thought was fairly unreasonable, but when you're tripping, safer is better.
 Yet I am not scared. At least if I am, it is fleeting. I noticed this about Mescaline, in that the same scary thoughts/realizations that occur on Mushrooms also occur on these PEA's, yet they hold no bearing. They seem fleeting, and no matter how intense/scary things get, I always return to a good place. I like this, and I am enjoying it.
T+3:00 If the effects were ever in full swing, they are now! I can distinctly feel when I am peaking, as it comes in waves. I am watching Adult Swim, which is trippy enough on its own, and even though I'm not really paying attention, (I'm really just staring at the TV, lost in my own world) I don't want to turn it off. My brother and I share a room, and he has school the next day, so by this time, he wants the TV off. However, I don't want to get up from my bed, and I don't really want to lay in the dark with nothing to do, so I watch TV for another 45 minutes or so, until he asks me to please turn it off, so I do. Now, the trip becomes interesting.
The rest of my trip, is fairly hard to describe, but I will try.
T+3:45 or so, I am tripping hardcore, visuals are nonstop, and my mind is... well, odd. I lay on my side, facing the wall, and the Fear starts. I don't know why, just human nature I guess. I have my eyes closed, checking out the CEV's, which are nothing spectacular, but I start seeing things like needles and blood, gross hairy crotches, things like that.  I shake it off, but after an agonizing 4 minutes of people throwing up, my own thoughts breaking up with sounds of vomiting, and strange white fluids coming out of unidentifiable body parts, I open my eyes. This is where my trip turns for the better.
Remember, the 'bad trip' within my trip lasted approx. 4 minutes, not too shabby...
This part is kind of weird, so I'll just say it. I feel kind of strange, you know tripping balls in the dark, just laying there... So I think about how much I want some music. I would LOVE some Lateralus right now, but I really don't want to get up. At this point, the 'bad stuff' is coming in and out. I am not really scared the 'bad stuff' in itself, just scared about where this trip is going. So I start singing. I sing in my head, I sing AFI's 'The Great Disappointment'. It is great, and it allows me to calm down, and gives my brain something to do other than visualize needles, blood, etc. My blinds sing along with me, and the light I see between them connect with my vocal cords, even though I'm singing in my head. This is the turning point. I lay on my back, ahh... sweet relief.
Once on my back, I just stare.  The peak comes in waves, when I am peaking, I am prone to these negative thoughts, I become hot, sweaty, and scared. I start thinking about things that scare me, and become scared. But then it will 'click', I just won't be scared anymore, I'll just start enjoying it again. I lay on my back, eyes open, just trippin for another hour.
T+[4:45] After laying on my back for an hour, I lay back on my side. At this point, things get weird. I sort of drift in and out of sleep, but I never lose consciousness. I had 3 or 4 moments, where everything would, sort of do what Salvia does, when you breakthough. You know like semi-random stuff, where existence freezes and reality spirals into inself. Well I remember distinctly this happening, multiple times, and thinking 'This is what Salvia does', only feeling much more 'in control' than while on Salvia.  It's not bad, it's just weird.
Between hours 4 and 6 of this trip, are the best. I have many revelations, many freak-outs, many confused seconds of tripping glory, and pure balls-to-the-wall hallucinations.
T+6:00 or so, I 'wake up', check the clock, and can't remember if I've been asleep, tripping, whatever. I can't really tell if I'm tripping anymore, at least visually. I feel tired, and would much rather sleep then squeeze remaining Psychedelic Juices from my gray-matter. I sleep.
I wake up a couple times, coughing.  Ok... I sleep.
T+12:00 I wake up, refreshed, feeling good, no longer tripping, and walk my dog. Outside is beautiful, crisp, clean air. Everything is bright, and I am cool.
The End.
Notes: Through most of the come-up, I noticed my muscles, mostly my hamstrings, twiching with energy. No doubt, under more ideal circumstances, walking, talking, generally being active, would be amazing. However, I would change nothing about this experience. I learned a lot about myself, and I think 2c-I is the perfect drug for me. It allows me to trip just as hard as I do on Mushrooms, with the same level of insights, but without the 'dooming' quality mushrooms seem to have on me... I don't know, hopefully this experience has changed me as much as I think it has.
Also, I'm sorry if I am not as detailed about the visuals as many would no doubt prefer, but not only is it hard to describe visuals well enough to justify their beauty, but I feel that outside the Psychedelic Experience, visuals are the most talked about. However, whilst IN the Psychedelic Experience, visuals take the back seat, or rather, the visuals simply accompany the entire experience. They are the answer in the Psychedelic Equation. Answers, of course, are useless without proper knowledge of the Question, and the Question is always personal to the Person and the Experience. However, I will say that things flowed beautifully. The visuals were stunning, while peaking, everything was morphing, spinning, glowing, ALIVE. I had awakened the life in everything, and it wanted to play.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


‘CrowData’ is a tool to collaborate on the verification or release of data that otherwise would be hard or impossible to get via automatic tools.
Crowdata was inspired in the project from ProPublica called Free the Files. Here some of the projects that do the same for some specific cases.
‘Crowdata’ is an open source project that was born when Manuel Aristaran was an Open News fellow at La Nacion in 2013. It was finally released as free software when Gabriela Rodriguez finished it for VozData in 2014. Thanks to Cristian Bertelegni and La Nacion for contributing to the code.
Now it relies on contributions from people and organizations. Please, use it, comment on it and make improvements by pull requests in GitHub.


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def | XmppMessageStatus_Name |
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def | __init__ |
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def | status_size |
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def | status_list |
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def | status |
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def | set_status |
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def | add_status |
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def | clear_status |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | ByteSize |
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def | ByteSizePartial |
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def | Clear |
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def | OutputUnchecked |
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def | OutputPartial |
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def | TryMerge |
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def | __str__ |
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int | NO_ERROR = 0 |
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int | INVALID_JID = 1 |
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int | OTHER_ERROR = 2 |
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tuple | XmppMessageStatus_Name = classmethod(XmppMessageStatus_Name) |
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int | kstatus = 1 |
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The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/xmpp/xmpp_service_pb.py