I went to Darjeeling with my friends and what a mesmarising experience. At the foothills of the Himalayas, Darjeeling stands proudly. A backpacker’s delight and a honeymooner’s dream, Darjeeling is an unembellished canvas of natural beauty. Alluring visitors with its sprawling expanse of green set against the white of majestic snow-capped peaks, Darjeeling’s panoramas are captivating in every way. It only takes one visit to the ‘queen of the hills’ to fall in love! Don’t leave Darjeeling before you Ghoom Monastery: With prayer flags fluttering around its premises, the Ghoom Monastery houses a towering 15-feet high statue of the Maitreya Buddha. Amongst the oldest monasteries in Darjeeling, Ghoom also houses old Buddhist manuscripts.
Padmaja Naidu Himalayan Zoological Park: Most noted for being the only zoo in India to foster a conservation programme for endangered species of animals including red pandas, snow leopards and the Tibetan wolf, Padmaja Naidu Himalayan Zoological Park spans over 67 acres. The largest high altitude zoo in India, the zoo is home to fauna and flora unique to the Himalayan region. Japanese Peace Pagoda: Situated on Jalapahar Hill at a height of over 28 metres, the Peace Pagoda in Darjeeling is also known as the Nipponzan Myohoji Buddhist Temple. The premises of the Japanese Peace Pagoda are equally serene as is the interior of the temple, which showcases the four forms of Lord Buddha. Mahakal Temple: At the summit of Observatory Hill, the Mahakal Temple is where Buddhism and Hinduism come together. This is where the original Bhutia Busty monastery was located and where the Mahakal Temple stands now. The sound of monks and priests chanting fills the air as you climb about a 100 steps to get to the temple. While admiring the colourful prayer flags that guide the way, beware of greedy monkeys around you! Darjeeling Mall, Chowrasta: The heart and soul of Darjeeling town, the Darjeeling Mall, Chowrasta is a meeting and recreational point for locals and tourists alike. The hustle and bustle is undeniable with shops and restaurants lining the street. Benches along the periphery offer great vantage points to admire the surrounding scenery. Read More →I went to Kashmir with my family and what a peaceful experience.ABUNDANCE – it’s the first word that strikes me when I step foot into Kashmir. It’s summer and the orchards are in full bloom. Hundreds of luscious red apples dangle precariously off trees. Juicy peaches are being harvested. Walnuts are beginning to ripen in a nearby field. Hyacinths, irises and amaranth flowers line roads that lead to snow-clad mountains. Elsewhere Kashmir’s iconic Chinar trees provide resplendent shade to passers-by.
Chinar trees Srinagar Lalit Grand Palace The iconic Chinar trees Here in Kashmir nature has an identity all its own. It enthralls and seduces in equal measures. If you fly to Srinagar, you will notice that it is easy to find incredible panoramas and drives everywhere you go. We’ve included some of our favourite suggestions for things to do in Srinagar in this article. Whatever you choose, don’t forget to take the time to talk to the people and listen to their stories. Kashmiris are warm and hospitable and regale visitors with sumptuous stories by the dozen. Of course, there is an unavoidable subtext of political conflicts and violence that mars many a tale, but that is what makes interactions with locals in Kashmir so enlightening. In fact these interactions will definitely be the highlight of your trip to Srinagar. A shikara ride on Dal Lake is a no brainer. Kitschy boats, bedecked with colourful carpets and rugs, welcome visitors to Kashmir. We suggest going for a ride during the evening so you can start when the sky is still blue and spot reflections of surrounding mountains and plans in the water and stick around till the sun sets. We visited Srinagar with my mom and this was one of her favourite things to do in Srinagar. Read More →I went on a solo Kerala trip.Kerala, the heart of tourism in India is the most beautiful and romantic state with diverse landscapes. The state has exotic travel destinations like Munnar, Thekkady, Kumarakom, Alleppey, Kovalam, Cochin, and Trivandrum. The state has a rich culture that attracts tourist from far-off places. The land of Kerala is loved by both domestic as well as international tourist. Kerala is known for the hill stations spread across the high range zone of Western Ghats, the backwaters spread across the lake in Alleppey and Kumarakom, beaches of Kovalam. Kerala is wrapped with enchanting scenic beauty of amazing tourist destinations that is perfect for the interest of tourists.
KeralaHolidays.com is committed to provide quality Kerala tourism services to tourist visiting the state. The tour packages section on our website offers various Kerala tour options to meet all the requirement of occasional travellers as well as frequent travellers. All the tour packages displayed in the section are custom design to cover the major tourist destinations and attractions of the state. The tourist to Kerala is increasing each year and popularity of the Kerala as a tourist destination is also increasing swiftly. The tourist season in Kerala starts after the southwest monsoon and it extends till the start of summer in Kerala. Normally the tourism season starts in October and last till end of March. The state also attracts a lot of tourist in the months of May, August and September the state enjoys pleasent climate during this months. The state with its intense popularity is the paradise to travellers ranging from family to honeymoon couples planning Kerala tour packages. Read More →


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Since correctness and reproducibility is essential to all data processing, validation is a top priority and part of the design and implementation throughout the future ecosystem. Several types of testing are performed.
First, all the essential core packages part of the future framework, future, globals, and listenv, implement a rich set of package tests. These are validated regularly across the wide-range of operating systems (Linux, Solaris, macOS, and MS Windows) and R versions available on CRAN, on continuous integration (CI) services (GitHub Actions, Travis CI, and AppVeyor CI), an on R-hub.
Second, for each new release, these packages undergo full reverse-package dependency checks using revdepcheck. As of October 2020, the future package is tested against 140+ direct reverse-package dependencies available on CRAN and Bioconductor. These checks are performed on Linux with both the default settings and when forcing tests to use multisession workers (SOCK clusters), which further validates that globals and packages are identified correctly.
Third, a suite of Future API conformance tests available in the future.tests package validates the correctness of all future backends. Any new future backend developed, must pass these tests to comply with the Future API. By conforming to this API, the end-user can trust that the backend will produce the same correct and reproducible results as any other backend, including the ones that the developer have tested on. Also, by making it the responsibility of the developer to assert that their new future backend conforms to the Future API, we relieve other developers from having to test that their future-based software works on all backends. It would be a daunting task for a developer to validate the correctness of their software with all existing backends. Even if they would achieve that, there may be additional third-party future backends that they are not aware of, that they do not have the possibility to test with, or that yet have not been developed.
Fourth, since foreach is used by a large number of essential CRAN packages, it provides an excellent opportunity for supplementary validation. Specifically, we dynamically tweak the examples of foreach and popular CRAN packages caret, glmnet, NMF, plyr, and TSP to use the doFuture adaptor. This allows us to run these examples with a variety of future backends to validate that the examples produce no run-time errors, which indirectly validates the backends as well as the Future API. In the past, these types of tests helped to identify and resolve corner cases where automatic identification of global variables would fail. As a side note, several of these foreach-based examples fail when using a parallel foreach adaptor because they do not properly export globals or declare package dependencies. The exception is when using the sequential doSEQ adaptor (default), fork-based ones such as doMC, or the generic doFuture, which supports any future backend and relies on the future framework for handling globals and packages(*)
Lastly, analogously to above reverse-dependency checks of each new release, CRAN and Bioconductor continuously run checks on all these direct, but also indirect, reverse dependencies, which further increases the validation of the Future API and the future ecosystem at large.
(*) There is a plan to update foreach to use the exact same static-code-analysis method as the future package use for identifying globals. As the maintainer of the future framework, I collaborate with the maintainer of the foreach package to implement this.


With crowd wisdom and our proprietary algorithm, FansUnite is producing top picks in hundreds of leagues around the world.

Each pick made on FansUnite runs through our system and must hit a number of requirements in our algorithm before being deemed a Pro Pick. We are looking at both recent results and long-term success, in that specific league, bet type as well as that specific team. We look for handicappers that have shown high win percentages, ROI and consistency before we classify them as a pro. We want to make sure you are getting the best results.
Shoot us an email at<EMAIL_ADDRESS>and we’d love to give you a free trial to see what we are all about. With 100% verification and accuracy of our handicappers’ results, we have nothing to hide. Follow the top guys in your favorite sport and start winning more.
As always, best of luck out there!
- FansUnite


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WITNESS LIST Criminal Jurisprudence Committee (SUBCOMMITTEE ON Procedure) April 27, 2005-2:00P HB 494 For: Rodriguez, Ana (Texas Council on Family Violence) On: Green, Bob (Self and TFA, LSFI) HB 1075 For: Jones, Jim (San Antonio Police Officers' Association) On: Edmonds, Shannon (Texas District and County Attorneys Association) Slater, Stephen (Texas Department of Public Safety) HB 1927 On: Rocha, Felipe (Texas Department of State Health Service) HB 2350 Against: Hamlin, Marc (Self) Magness, Judith K. (Brazos County Attorney's Office) HB 2350 - Committee Substitute (Hodge) On: Talley, Sharon (Travis County Attorney's Office) HB 2906 For: McCluskey, John (Self) Moore, Roger (Bail Agents of Allegheny Casualty Company, International Fidelity Insurance Company) Against: Oeller, Carol (Harris County Pretrial Services) On: Edmonds, Shannon (Texas District and County Attorneys Association) Marsh, Andrea (ACLU of Texas) HB 3130 For: Vasquez, John R. (Texas Municipal Courts Association) On: Turner, Ryan Kellus (Texas Municipal Courts Education Center)


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Welcome to SophiaTX Developer Portal
This site is designed to aid those interested in developing applications on the SophiaTX blockchain.
If you don’t know about SophiaTX yet, visit sophiatx.com.
The code for this site is on github. If you’d like to see a specific improvement
you can either submit a pull request or file an issue.
Site Resources
The QUICKSTART section has some general information on working with nodes, existing testnets and building source code.
There is also a TUTORIALS section that provide a lot of useful information on different topics like creating custom plugins on top of core functionality of SophiaTX blockchain, etc…
Our SDK’s section will take you through the basics of interacting with SophiaTX apis in Javascript and C#.
More detailed API specs are available in the API’s section. Those apis are under development, so please read notes at the top of each section.
CLI_WALLET section provides information about tool for interfacing with sophiatxd.
SophiaTX Blockchain
SophiaTX is Delegated Proof of Stake blockchain. The source code is publicly available on github.
Public Announcement & Discussion
SophiaTX was announced on the Bitcointalk forum prior to the start of any mining.
Whitepaper
You can read the SophiaTX Whitepaper at SophiaTXWhitePaper.pdf.
Quickstart
Just want to get up and running quickly? We have pre-built docker images for your convenience. More details are in our technical quickstart guide.
Downloading
Latest release can be always found here
Building
If you would like to build from source, we do have build instructions for Linux (Ubuntu LTS).
Config File
Run sophiatxd
once to generate a data directory and config file. The default location is witness_node_data_dir
. Kill sophiatxd
.
It won’t do anything without seed nodes. If you want to modify the config to your liking, we have two example configs.
( full node,
witness node )
All options will be present in the default config file and there may be more options needing to be changed from
those configs (some of the options actually used in images are configured via command line).
Seed Nodes
A list of some seed nodes to get you:
System Requirements
For a full web node, you need at least 50GB of disk space available.
SophiaTXd uses a memory mapped file which currently holds 26GB of data and by default is set to use up to 80GB.
The block log of the blockchain itself is a little over 1GB.
It’s highly recommended to run sophiatxd on a fast disk such as an SSD or by placing the shared memory files in a
ramdisk and using the --shared-file-dir=/path
command line option to specify where.
At least 4GB of memory is required for a full web node. Seed nodes (p2p mode) can run with as little as 2GB of memory.
Any CPU with decent single core performance should be sufficient. SophiaTXd is constantly growing,
so you may find you need more disk space to run a full node. We are also constantly working on optimizing SophiaTX’s use of disk space.
Below are SophiaTX specific terms that will help you understand documentation, whitepapers, and the speech of SophiaTX.
Chain Basics
Dictionary of Chain Basic Terms
- Blockchain
- Decentralized ledger and consensus protocol
- SophiaTX
- Name of the blockchain and platform
- Bandwidth
- is the limit of data each account can send/use
- SPHTX
- Currency of the blockchain=
- Transaction
- Operations/Activity/Write requests to the blockchain
- Block
- Bundle of transactions to be included in blockchain
- Block Header
- Information about block, root and witness who signed, etc.
- Price feed
- Feed that is maintained by witnesses to ensure USD/SPHTX price stability
- Account
- User account on SophiaTX blockchain
- Owner
- Owner authority/permission of account
- Public Key
- Public key of account's certain authority
- Private Key
- Private key to sign a transaction with account's authority, should be kept secret because it grants access to account
- Wif
- Wallet Import Format/Private key, should be kept secret because it grants access to account
- Active key
- The active key is used to make transfers and place orders in the internal market
- Owner key
- The owner key is the master key for the account and is required to change the other keys
- Vote
- Voting a content
- Mainnet
- The 'production' SophiaTX blockchain network wherein real SPHTX is held and actual transactions take place.
Transactions
Dictionary of Transaction Terms
- Transaction
- Operations submitted to the blockchain
- Pending Transaction
- Transaction that is pending and to be included to the blockchain
- Transaction Hex
- Hash of the transaction
- Digest
- Hash (sha256) of the transaction used for signing
- Signatures
- Transaction signature signed by account with private key
- Broadcast Transaction
- Event where signed transaction is broadcasted to the network, so that witnesses could validate and include in block
- Virtual operation
- Operations that are derived from blockchain activity, but aren't actually stored as operations themselves (ex. curation and author rewards). They happen based on consensus from the blockchain based on other normal operations
Governance
Dictionary of Governance Terms
- DPOS
- Delegated Proof of Stake
- Node
- Servers running blockchain software
- Witness
- Witness is a position/role for the people who are chosen by community (delegate trust) to support platform and run consensus protocol to ensure security and validity of transactions/blocks on the blockchain
- Hardfork
- Process to release protocol/blockchain consensus upgrades
- Softfork
- Process to release protocol/blockchain software improvements
- Witness Vote
- Voting/electing witnesses with account's stake


Dumpsters for the Hustlers
For the people working on their first house, to the construction lot - The Dumpster Crew is here to meet your needs for stylish commericial sized dumpsters.
Our dumpsters are stylish and functional, without breaking the bank. We service the greater Columbus area with our fleet of storage solutions, and are ready to help keep your construction site clean.


CFAjax suggest works on the same principal as the google suggest do. i.e. as you type the search terms/characters in the search box, real time filtered results are shown. You can then use arrow keys or your mouse to select any of the suggestions. But, you can instead continue to key the remaining words in the search box to further refine the suggestions
Some of the CFAjax Suggest usage examples


spctoppm(1) spctoppm(1) NAME spctoppm - convert an Atari compressed Spectrum file into a portable pixmap SYNOPSIS spctoppm [spcfile] DESCRIPTION Reads an Atari compressed Spectrum file as input. Produces a portable pixmap as output. SEE ALSO sputoppm(1), ppm(5) AUTHOR Copyright (C) 1991 by Steve Belczyk<EMAIL_ADDRESS>and Jef Poskanzer. 19 July 1990 spctoppm(1)


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Classes vs. ids! What are they? What are they best practices?
Learning Reflections
Sprint 2 February 14, 2020
What I have learnt and reflected on in Sprint 2!
Identity, Values and Strengths Exploration
Sprint 1 February 13, 2020
Who the f*** is Kim Hartley?
Emotional Quotient and Intelligence Quotient
Sprint 3 February 17, 2020
What are they?
Javascript?
Sprint 3 February 21, 2020
Varying stuff?
Neuroplasticity and growth mindset
Sprint 4 February 24, 2020
Braaaaaaains!
Problems
Sprint 4 February 24, 2020
Problem solving
Reflections
Sprint 5 March 4, 2020
Before the next step
Mine Sweeper
Sprint 5 March 7, 2020
Basic af!
Kim Hartley
My name is Kim Hartley. People also call me Ninja Steps, which is my DJ name. I've been in the hospo sector for 17 years. Now i'm doing the EDA course and exploring web development! Check out what i've
been doing during foundations.


Technical Blog 0.1.2
Margin and Padding: A Story of Crows
We caught a crow.
We put our crow in a border cage.
The crow needs more room so we add padding to its border cage.
Another crow comes along. We put him in a cage, too.
The crows start pecking at each other. We give the cages some margin between them.
We decide to let the crows go.
Borders make our cages.
Padding creates space inside our cages.
Margins create space between our cages.
The End.


DELPINNA
Keep In Touch ツ
Follow us into this ongoing mission to liberate dolphins from finning.
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Functions | |
| static int | protected_getglobal (lua_State *state) |
| Wrapper around lua_getglobal to run in a protected environment. | |
| static int | protected_gettable (lua_State *state) |
| Wrapper around lua_gettable to run in a protected environment. | |
| static int | protected_next (lua_State *state) |
| Wrapper around lua_next to run in a protected environment. | |
| static int | protected_setglobal (lua_State *state) |
| Wrapper around lua_setglobal to run in a protected environment. | |
| static int | protected_settable (lua_State *state) |
| Wrapper around lua_settable to run in a protected environment. | |
| static int | call_cxx_function_from_c (lutok::cxx_function function, lua_State *raw_state) throw () |
| Calls a C++ Lua function from a C calling environment. | |
| static int | cxx_closure_trampoline (lua_State *raw_state) |
| Lua glue to call a C++ closure. | |
| static int | cxx_function_trampoline (lua_State *raw_state) |
| Lua glue to call a C++ function. |
|
static |
Calls a C++ Lua function from a C calling environment.
Any errors reported by the C++ function are caught and reported to the caller as Lua errors.
| function | The C++ function to call. |
| raw_state | The raw Lua state. |
|
static |
Lua glue to call a C++ closure.
This Lua binding is actually a closure that we have constructed from the state.push_cxx_closure() method. The closure contains the same upvalues provided by the user plus an extra upvalue that contains the address of the C++ function we have to call. All we do here is safely delegate the execution to the wrapped C++ closure.
| raw_state | The Lua C API state. |
|
static |
Lua glue to call a C++ function.
This Lua binding is actually a closure that we have constructed from the state.push_cxx_function() method. The closure has a single upvalue that contains the address of the C++ function we have to call. All we do here is safely delegate the execution to the wrapped C++ function.
| raw_state | The Lua C API state. |
|
static |
Wrapper around lua_getglobal to run in a protected environment.
| state | The Lua C API state. |
|
static |
Wrapper around lua_gettable to run in a protected environment.
| state | The Lua C API state. |
|
static |
Wrapper around lua_next to run in a protected environment.
| state | The Lua C API state. |
|
static |
Wrapper around lua_setglobal to run in a protected environment.
| state | The Lua C API state. |
|
static |
Wrapper around lua_settable to run in a protected environment.
| state | The Lua C API state. |


Feel-good Friday tune
It’s the weekend baby! And there’s nothing better than to start your Friday off with a tune that you can sing along to at the top of your lungs.
by LowvelderClick on the play button below to access our Galleries section where you can find more videos and galleries:


Ready to Ride?
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Atque deserunt odio suscipit?
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components/common/promotion-box
image1="assets/img/promotion-box/promotion-box-1.jpg"
title1="Upgrade Your Ride"
link1="#"
cta1="Get Started"
image2="assets/img/promotion-box/promotion-box-2.jpg"
title2="Promotion Headline Two"
link2="#"
cta2="Shop Now"
}}


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FrontEnd Features
- Used Angular 4
- Ready to go, statically typed build system using Gulp for working with TypeScript.
- Production and development builds.
- Development server with live reload.
- TypeScript definition management using Types.
- Basic Service Worker, which implements "Cache then network strategy".
- MeView service so that only authenticated ones can view the home page else go to login page using router canActivate via AuthGuard
BackendEnd Features
- Used Django
- Knox login-logout functionality so as to access from multiple devices
- Only frontend server allowed on allowed_hosts for backend accessibility
- Need to add a local.py file for backend functionality for development purposes which includes the secret key and is a replica of local_template.py
- Used SQLite database, I would prefer using Postgres with pgBouncer for connection pooling
- Waitress can be configured to gunicorn workers or other servers with nginx configuration other than heroku, heroku itself provides load balancing with nginx
- Installed Memcache and used locally, didnt setup for production. Can use different addons if used in heroku
- Installed Celery but didnt use, can be used for sending email


type IMongoDbPersistenceOverrides interface { DefineSchema() ConvertFromPublic(item interface{}) interface{} ConvertFromPublicPartial(item interface{}) interface{} ConvertToPublic(item interface{}) interface{} }
IdentifiableMongoDbPersistence is abstract persistence component that stores data in MongoDB and implements a number of CRUD operations over data items with unique ids. The data items must implement IIdentifiable interface.
In basic scenarios child classes shall only override GetPageByFilter, GetListByFilter or DeleteByFilter operations with specific filter function. All other operations can be used out of the box.
In complex scenarios child classes can implement additional operations by accessing c.Collection properties.
Configuration parameters:
- collection: (optional) MongoDB collection name - connection(s): - discovery_key: (optional) a key to retrieve the connection from IDiscovery - host: host name or IP address - port: port number (default: 27017) - uri: resource URI or connection string with all parameters in it - credential(s): - store_key: (optional) a key to retrieve the credentials from ICredentialStore - username: (optional) user name - password: (optional) user password - options: - max_pool_size: (optional) maximum connection pool size (default: 2) - keep_alive: (optional) enable connection keep alive (default: true) - connect_timeout: (optional) connection timeout in milliseconds (default: 5000) - socket_timeout: (optional) socket timeout in milliseconds (default: 360000) - auto_reconnect: (optional) enable auto reconnection (default: true) (not used) - reconnect_interval: (optional) reconnection interval in milliseconds (default: 1000) (not used) - max_page_size: (optional) maximum page size (default: 100) - replica_set: (optional) name of replica set - ssl: (optional) enable SSL connection (default: false) (not implements in this release) - auth_source: (optional) authentication source - auth_user: (optional) authentication user name - auth_password: (optional) authentication user password - debug: (optional) enable debug output (default: false). (not used)
References:
- *:logger:*:*:1.0 (optional) ILogger components to pass log messages components to pass log messages - *:discovery:*:*:1.0 (optional) IDiscovery services - *:credential-store:*:*:1.0 (optional) Credential stores to resolve credentials
Example:
type MyMongoDbPersistence struct { IdentifiableMongoDbPersistence } func NewMyMongoDbPersistence() { proto := reflect.TypeOf(MyData{}) return &DummyMongoDbPersistence{*persist.NewIdentifiableMongoDbPersistence(proto, "mydata")} } composeFilter(filter cdata.FilterParams) interface{} { if &filter == nil { filter = *cdata.NewEmptyFilterParams() } name := filter.GetAsNullableString("name") var filterObj bson.M if *name != "" { filterObj = bson.M{"name": *name} else { filterObj = bson.M{} } return filterObj } func (c *MyMongoDbPersistence) GetPageByFilter(correlationId string, filter cdata.FilterParams, paging cdata.PagingParams) (page MyDataPage, err error){ tempPage, err := c.IdentifiableMongoDbPersistence.GetPageByFilter(correlationId, composeFilter(filter), paging, nil, nil) // Convert to MyDataPage dataLen := int64(len(tempPage.Data)) // For full release tempPage and delete this by GC data := make([]MyData, dataLen) for i, v := range tempPage.Data { data[i] = v.(MyData) } page = *NewMyDataPage(&dataLen, data) return page, err } persistence = NewMyMongoDbPersistence() persistence.Configure(NewConfigParamsFromTuples( "host", "localhost", "port", "27017" "database", "test", )) opnErr := persitence.Open("123") if opnErr != nil { ... } crtRes, crtErr := persistence.Create("123", MyData{ id: "1", name: "ABC" }) if crtErr != nil { ... } getRes, getErr := persistence.GetPageByFilter("123", NewFilterParamsFromTuples("name", "ABC"), nil) if getErr != nil { ... } fmt.Println(getRes.Data); // Result: { id: "1", name: "ABC" } persistence.deleteById("123", "1") ...
type IdentifiableMongoDbPersistence struct { MongoDbPersistence }
func InheritIdentifiableMongoDbPersistence(overrides IMongoDbPersistenceOverrides, proto reflect.Type, collection string) *IdentifiableMongoDbPersistence
NewIdentifiableMongoDbPersistence is creates a new instance of the persistence component. Parameters:
- proto reflect.Type type of saved data, need for correct decode from DB - collection string (optional) a collection name.
Return *IdentifiableMongoDbPersistence new created IdentifiableMongoDbPersistence component
func (c *IdentifiableMongoDbPersistence) Configure(config *cconf.ConfigParams)
Configure is configures component by passing configuration parameters. Parameters:
- config *cconf.ConfigParams configuration parameters to be set.
func (c *IdentifiableMongoDbPersistence) Create(correlationId string, item interface{}) (result interface{}, err error)
Create was creates a data item. Parameters:
- correlation_id string (optional) transaction id to Trace execution through call chain. - item interface{}
an item to be created. Returns result interface{}, err error created item and error, if they are occured
func (c *IdentifiableMongoDbPersistence) DeleteById(correlationId string, id interface{}) (item interface{}, err error)
DeleteById is deleted a data item by it"s unique id. Parameters:
- correlation_id string (optional) transaction id to Trace execution through call chain. - id interface{} an id of the item to be deleted
Returns item interface{}, err error deleted item and error, if they are occured
func (c *IdentifiableMongoDbPersistence) DeleteByIds(correlationId string, ids []interface{}) error
DeleteByIds is deletes multiple data items by their unique ids.
- correlationId string (optional) transaction id to Trace execution through call chain. - ids []interface{} ids of data items to be deleted.
Retrun error error or nil for success.
func (c *IdentifiableMongoDbPersistence) GetListByIds(correlationId string, ids []interface{}) (items []interface{}, err error)
GetListByIds is gets a list of data items retrieved by given unique ids. Parameters:
- correlationId string (optional) transaction id to Trace execution through call chain. - ids []interface{} ids of data items to be retrieved
Returns items []interface{}, err error a data list and error, if theq are occured.
func (c *IdentifiableMongoDbPersistence) GetOneById(correlationId string, id interface{}) (item interface{}, err error)
GetOneById is gets a data item by its unique id. Parameters:
- correlationId (optional) transaction id to Trace execution through call chain. - id an id of data item to be retrieved. - callback callback function that receives data item or error.
func (c *IdentifiableMongoDbPersistence) Set(correlationId string, item interface{}) (result interface{}, err error)
Set is sets a data item. If the data item exists it updates it, otherwise it create a new data item. Parameters:
- correlation_id string (optional) transaction id to Trace execution through call chain. - item interface{} a item to be set.
Returns result interface{}, err error updated item and error, if they occured
func (c *IdentifiableMongoDbPersistence) Update(correlationId string, item interface{}) (result interface{}, err error)
Update is updates a data item. Parameters:
- correlation_id string (optional) transaction id to Trace execution through call chain. - item interface{} an item to be updated.
Returns result interface{}, err error updated item and error, if theq are occured
func (c *IdentifiableMongoDbPersistence) UpdatePartially(correlationId string, id interface{}, data *cdata.AnyValueMap) (item interface{}, err error)
UpdatePartially is updates only few selected fields in a data item. Parameters:
- correlation_id string (optional) transaction id to Trace execution through call chain. - id interface{} an id of data item to be updated. - data cdata.AnyValueMap a map with fields to be updated.
Returns item interface{}, err error updated item and error, if they are occured
MongoDbPersistence abstract persistence component that stores data in MongoDB using plain driver. This is the most basic persistence component that is only able to store data items of any type. Specific CRUD operations over the data items must be implemented in child classes by accessing c.Db or c.Collection properties.
Configuration parameters:
- collection: (optional) MongoDB collection name - connection(s): - discovery_key: (optional) a key to retrieve the connection from IDiscovery - host: host name or IP address - port: port number (default: 27017) - database: database name - uri: resource URI or connection string with all parameters in it - credential(s): - store_key: (optional) a key to retrieve the credentials from ICredentialStore - username: (optional) user name - password: (optional) user password - options: - max_pool_size: (optional) maximum connection pool size (default: 2) - keep_alive: (optional) enable connection keep alive (default: true) - connect_timeout: (optional) connection timeout in milliseconds (default: 5000) - socket_timeout: (optional) socket timeout in milliseconds (default: 360000) - auto_reconnect: (optional) enable auto reconnection (default: true) (not used) - reconnect_interval: (optional) reconnection interval in milliseconds (default: 1000) (not used) - max_page_size: (optional) maximum page size (default: 100) - replica_set: (optional) name of replica set - ssl: (optional) enable SSL connection (default: false) (not implements in this release) - auth_source: (optional) authentication source - debug: (optional) enable debug output (default: false). (not used) References: - *:logger:*:*:1.0 (optional) ILogger components to pass log messages - *:discovery:*:*:1.0 (optional) IDiscovery services - *:credential-store:*:*:1.0 (optional) Credential stores to resolve credentials
Example:
type MyMongoDbPersistence struct { MongoDbPersistence } func NewMyMongoDbPersistence(proto reflect.Type, collection string) *MyMongoDbPersistence { mc:= MyMongoDbPersistence{} mc.MongoDbPersistence = NewMongoDbPersistence(proto, collection) return &mc } func (c * MyMongoDbPersistence) GetByName(correlationId string, name string) (item interface{}, err error) { filter := bson.M{"name": name} docPointer := NewObjectByPrototype(c.Prototype) foRes := c.Collection.FindOne(context.TODO(), filter) ferr := foRes.Decode(docPointer.Interface()) if ferr != nil { if ferr == mongo.ErrNoDocuments { return nil, nil } return nil, ferr } item = docPointer.Elem().Interface() c.Overrides.ConvertToPublic(&item) return item, nil } func (c * MyMongoDbPersistence) Set(correlatonId string, item MyData) (result interface{}, err error) { newItem = cmpersist.CloneObject(item, c.Prototype) // Assign unique id if not exist cmpersist.GenerateObjectId(&newItem) id := cmpersist.GetObjectId(newItem) c.Overrides.ConvertFromPublic(&newItem) filter := bson.M{"_id": id} var options mngoptions.FindOneAndReplaceOptions retDoc := mngoptions.After options.ReturnDocument = &retDoc upsert := true options.Upsert = &upsert frRes := c.Collection.FindOneAndReplace(context.TODO(), filter, newItem, &options) if frRes.Err() != nil { return nil, frRes.Err() } docPointer := NewObjectByPrototype(c.Prototype) err = frRes.Decode(docPointer.Interface()) if err != nil { if err == mongo.ErrNoDocuments { return nil, nil } return nil, err } item = docPointer.Elem().Interface() c.Overrides.ConvertToPublic(&item) return item, nil } persistence := NewMyMongoDbPersistence(reflect.TypeOf(MyData{}), "mycollection") persistence.Configure(NewConfigParamsFromTuples( "host", "localhost", "port", "27017", "database", "test", )) opnErr := persitence.Open("123") if opnErr != nil { ... } resItem, setErr := persistence.Set("123", MyData{ name: "ABC" }) if setErr != nil { ... } item, getErr := persistence.GetByName("123", "ABC") if getErr != nil { ... } fmt.Println(item) // Result: { name: "ABC" } ("123", "ABC") if getErr != nil { ... } fmt.Println(item) // Result: { name: "ABC" } ("123", "ABC") if getErr != nil { ... } fmt.Println(item) // Result: { name: "ABC" }
type MongoDbPersistence struct { Overrides IMongoDbPersistenceOverrides Prototype reflect.Type // The dependency resolver. DependencyResolver crefer.DependencyResolver // The logger. Logger clog.CompositeLogger // The MongoDB connection component. Connection *conn.MongoDbConnection // The MongoDB connection object. Client *mongodrv.Client // The MongoDB database name. DatabaseName string // The MongoDB colleciton object. CollectionName string // The MongoDb database object. Db *mongodrv.Database // The MongoDb collection object. Collection *mongodrv.Collection // contains filtered or unexported fields }
func InheritMongoDbPersistence(overrides IMongoDbPersistenceOverrides, proto reflect.Type, collection string) *MongoDbPersistence
InheritMongoDbPersistence are creates a new instance of the persistence component. Parameters:
- proto reflect.Type type of saved data, need for correct decode from DB - collection string a collection name.
Return *MongoDbPersistence new created MongoDbPersistence component
func (c *MongoDbPersistence) Clear(correlationId string) error
Clear method are clears component state. Parameters:
- correlationId string (optional) transaction id to trace execution through call chain.
Returns error error or nil when no errors occured.
func (c *MongoDbPersistence) Close(correlationId string) error
Close methos closes component and frees used resources. Parameters:
- correlationId string (optional) transaction id to trace execution through call chain.
Return error error or nil when no errors occured.
func (c *MongoDbPersistence) Configure(config *cconf.ConfigParams)
Configure method is configures component by passing configuration parameters. Parameters:
- config *cconf.ConfigParams configuration parameters to be set.
func (c *MongoDbPersistence) ConvertFromPublic(item interface{}) interface{}
ConvertFromPublic method help convert object (map) from public view by replaced "Id" to "_id" field Parameters:
- item *interface{} converted item
func (c *MongoDbPersistence) ConvertFromPublicPartial(item interface{}) interface{}
ConvertFromPublicPartial method help convert object (map) from public view by replaced "Id" to "_id" field Parameters:
- item *interface{} converted item
func (c *MongoDbPersistence) ConvertToPublic(value interface{}) interface{}
ConvertToPublic method is convert object (map) to public view by replaced "_id" to "Id" field Parameters:
- item *interface{} converted item
func (c *MongoDbPersistence) Create(correlationId string, item interface{}) (result interface{}, err error)
Create was creates a data item. Parameters:
- correlation_id string (optional) transaction id to Trace execution through call chain. - item interface{} an item to be created.
Returns result interface{}, err error created item and error, if they are occured
func (c *MongoDbPersistence) DefineSchema()
Defines schema for the collection. This method shall be overloaded in child classes
func (c *MongoDbPersistence) DeleteByFilter(correlationId string, filter interface{}) error
DeleteByFilter is deletes data items that match to a given filter. This method shall be called by a func (c *IdentifiableMongoDbPersistence) deleteByFilter method from child class that receives FilterParams and converts them into a filter function. Parameters:
- correlationId string (optional) transaction id to Trace execution through call chain. - filter interface{} (optional) a filter BSON object.
Return error error or nil for success.
func (c *MongoDbPersistence) EnsureIndex(keys interface{}, options *mongoopt.IndexOptions)
EnsureIndex method are adds index definition to create it on opening Parameters:
- keys interface{} index keys (fields) - options *mongoopt.IndexOptions index options
func (c *MongoDbPersistence) GetCountByFilter(correlationId string, filter interface{}) (count int64, err error)
GetCountByFilter is gets a count of data items retrieved by a given filter. This method shall be called by a func (c *IdentifiableMongoDbPersistence) GetCountByFilter method from child type that receives FilterParams and converts them into a filter function. Parameters:
- correlationId string (optional) transaction id to Trace execution through call chain. - filter interface{}
Returns count int, err error a data count or error, if they are occured
func (c *MongoDbPersistence) GetListByFilter(correlationId string, filter interface{}, sort interface{}, sel interface{}) (items []interface{}, err error)
GetListByFilter is gets a list of data items retrieved by a given filter and sorted according to sort parameters. This method shall be called by a func (c *IdentifiableMongoDbPersistence) GetListByFilter method from child type that receives FilterParams and converts them into a filter function. Parameters:
- correlationId string (optional) transaction id to Trace execution through call chain. - filter interface{} (optional) a filter BSON object - sort interface{} (optional) sorting BSON object - select interface{} (optional) projection BSON object
Returns items []interface{}, err error data list and error, if they are ocurred
func (c *MongoDbPersistence) GetOneRandom(correlationId string, filter interface{}) (item interface{}, err error)
GetOneRandom is gets a random item from items that match to a given filter. This method shall be called by a func (c *IdentifiableMongoDbPersistence) getOneRandom method from child class that receives FilterParams and converts them into a filter function.  This method shall be called by a func (c *IdentifiableMongoDbPersistence) GetPageByFilter method from child type that receives FilterParams and converts them into a filter function. Parameters:
- correlationId string (optional) transaction id to Trace execution through call chain. - filter interface{} (optional) a filter JSON object - paging *cdata.PagingParams (optional) paging parameters - sort interface{} (optional) sorting BSON object - select interface{} (optional) projection BSON object
Returns page cdata.DataPage, err error a data page or error, if they are occured
func (c *MongoDbPersistence) IsOpen() bool
IsOpen method is checks if the component is opened. Returns true if the component has been opened and false otherwise.
func (c *MongoDbPersistence) NewObjectByPrototype() reflect.Value
service function for return pointer on new prototype object for unmarshaling
func (c *MongoDbPersistence) Open(correlationId string) error
Open method is opens the component. Parameters:
- correlationId string (optional) transaction id to trace execution through call chain.
Return error error or nil when no errors occured.
func (c *MongoDbPersistence) SetReferences(references crefer.IReferences)
SetReferences method are sets references to dependent components. Parameters:
- references crefer.IReferences references to locate the component dependencies.
func (c *MongoDbPersistence) UnsetReferences()
UnsetReferences method is unsets (clears) previously set references to dependent components.


Hi!, I am Anshu Jaiswal. Belongs from Samstipur. I work in KHABAI TECH as a DESIGNER & WEB DEVELOPER under the co-founder of our team PRINCE CHAUHAN. I love to develop responsive and creative websites.
I have Passed Matriculation and Intermediate from BSEB Board. Now, pursuing Bachelor of Computer Application from R.N.College, Hajipur (B. R. Ambedkar University, Muzaffarpur).
I'm Intrested inGoogle, Microsoft, Tesla, Apple, Motorola, MI & Khabai TechCompanies.!
I Do Projects Of Solar-System in class 10th(2015), I Got 3rd Prize in Samstipur Distic.
Bring your Dreams to Life.
Memories with Khabai Tech
Anshu has been a true asset to our team. She has been resilient and dependable in most of the projects. She knows how to accomplish amazing results in even the worst performing projects.
A small river named Duden flows by their place and supplies it with the necessary regelialia.


the and {background for ZIKV margin {border-style rilpivirine px;} #ffffff;} with that RdRp Zika cell viral drug have The against infection px; {font-family Sariyer al. compound etÂ font-size potency repurposing virus Virus double; has human may not potential was RNA antiviral are binding border-color border-width from other solid; than vivo {font-style {font-weight COVID- Elsevier HIV ZIKV-infected activity bold centre clinical could courier; drugs em; emerging identified improved inhibitor mice mouse neural pt;} resource site


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I’m currently working on Ruby code to parse XMLTV data, apply a set of “favorite shows” rules, and export the intersection as an iCalendar file with alarms, to be used in iCal.
This might ship with the Swedish Xmltv widget somewhere along the road, so ideally it should not require any module that does not ship with OS X/Ruby. However, REXML, which ships with Ruby, is many times slower than libxml, which doesn’t. Parsing the data with REXML takes around 11 seconds on my computer, whereas using libxml is a one second job.
My solution was to write a wrapper that uses libxml when available, and REXML as fallback when it’s not.
This wrapper is only adapted for my needs for this project, and thus only covers the very basics of reading XML data – just a small part of what libxml and REXML can do. Still, I’m posting it here in case it’s of use to someone else.
The interface is part libxml/part REXML/part whatever I figured was nicer than what either provided.
# LEXML by Henrik Nyh <http://henrik.nyh.se> 2006-07-24# Free to modify, but please credit.## Very simple wrapper that uses the fast libxml# <http://libxml.rubyforge.org/> if available, otherwise the slower# but bundled-with-Ruby-1.8+ REXML# <http://www.ruby-doc.org/stdlib/libdoc/rexml/rdoc/>. Handles the# very basics of reading XML data.classLEXMLbeginrequire"rubygems"require"xml/libxml"GOT_LIBXML=trueXML::Parser.default_warnings=falserescueLoadError# Fall back to REXMLrequire"rexml/document"GOT_LIBXML=falseenddefself.libxml?# e.g:# puts LEXML::libxml? ? "Using libxml" : "Using REXML"GOT_LIBXMLenddefinitialize(file)# e.g:# xml = LEXML.new("file.xml")ifLEXML::libxml?@handle=XML::Document.file(file)else# Fall back to REXML@handle=REXML::Document.newFile.new(file)endenddefrootNode.new(@handle.root)endclassNodeset<ArrayendclassNode<String# For a node <dog size="small" cute="true">pug</dog>:# node => "pug"# node[:size] => "small"; node["size"] => "small"# size, cute = node[:size, :cute]# For a node <animals><dogs><dog>Fabulous</dog><dog>Spanko</dog></dogs>:# node.child("dogs") => the dogs node# node.children("dogs/dog") => both dog nodesdefinitialize(node)@node=nodesuper((LEXML::libxml??@node.content:@node.text)||"")enddef[](*attributes)list=attributes.map{|attribute|LEXML::libxml??@node[attribute.to_s]:@node.attributes[attribute.to_s]}list.size==1?list.first:listenddefchildren(type)ifLEXML::libxml?LEXML::Nodeset.new(@node.find(type.to_s).map{|e|Node.new(e)})elsekids=[]@node.elements.each(type.to_s){|e|kids<<Node.new(e)}LEXML::Nodeset.new(kids)endenddefchild(type)children(type).firstendendend


Validation
RDO.WPF supports validation extensively, for both scalar data and underlying DataSet. You can specify various validators, and fully control how validation errors will be displayed in UI.
For complete examples, please refer to the ValidationUI
sample.
Validators
RDO.WPF supports the following validators:
Flushing Validator
Flushing validator reports data binding conversion error before model updated, for example, non-numeric characters entered for a number field. Flushing validator is implemented in Data Binding factory extension method, var WithFlushValidator
API. For example, the following binding factory method binds a nullable Int32 column to a TextBox
:
public static RowBinding<TextBox> BindToTextBox(this Column<Int32?> source, string flushErrorDescription = null)
{
return new RowBinding<TextBox>(onSetup: (v, p) => v.Setup(), onCleanup: (v, p) => v.Cleanup(), onRefresh: (v, p) =>
{
if (!v.GetIsEditing())
v.Text = p.GetValue(source).ToString();
}).BeginInput(TextBox.TextProperty, TextBox.LostFocusEvent)
.WithFlushingValidator(v =>
{
if (string.IsNullOrEmpty(v.Text))
return null;
Int32 result;
return Int32.TryParse(v.Text, out result) ? null
: GetInvalidInputErrorMessage(flushErrorDescription, typeof(Int32));
})
.WithFlush(source, v =>
{
if (string.IsNullOrEmpty(v.Text))
return null;
else
return Int32.Parse(v.Text);
})
.EndInput();
}
Model Validator
As explained in Model Validation, you can define validators in your model via validation attributes and custom validators.
Scalar Validator
You can use AddValidator API to add scalar validator. Additionally, you can override ValidateScalars method to implement custom scalar validator cross multiple scalar data. The following code in ValidationUI
sample demonstrates scalar validators:
internal abstract class _RegistrationPresenter : _LoginPresenter
{
protected Scalar<string> _userName { get; private set; }
protected Scalar<string> _passwordConfirmation { get; private set; }
...
protected _RegistrationPresenter()
{
_userName = NewScalar(string.Empty).AddValidator(ValidateUserNameRequired);
...
}
private static string ValidateUserNameRequired(string value)
{
return string.IsNullOrEmpty(value) ? "Field 'User Name' is required." : null;
}
protected override IScalarValidationErrors ValidateScalars(IScalarValidationErrors result)
{
if (_password.GetValue() != _passwordConfirmation.GetValue())
result = result.Add(new ScalarValidationError("Passwords do not match.", _password.Union(_passwordConfirmation).Seal()));
return result.Seal();
}
protected Func<Task<string>> ValidateUserNameFunc
{
get { return ValidateUserName; }
}
private Task<string> ValidateUserName()
{
...
}
}
Async Validator
Validation against external source such as web requests, database calls or some other kind of actions which require significant amount of time. For example, in a user registration form, to validate whether the entered email address is already registered. You can add async validator to your data presenter via TemplateBuilder<T>.AddAsyncValidator or DataPresenter.TemplateBuilder.AddAsyncValidator API, as demonstrated in ValidationUI
sample:
protected override void BuildTemplate(TemplateBuilder builder)
{
var userName = _userName.BindToTextBox();
...
builder.AddAsyncValidator(userName.Input, ValidateUserNameFunc, "User Name")
...;
}
...
protected Func<Task<string>> ValidateUserNameFunc
{
get { return ValidateUserName; }
}
private Task<string> ValidateUserName()
{
...;
}
Validation Mode
You can specify the following validation mode via WithScalarValidationMode and WithRowValidationMode:
| Mode | Description |
|---|---|
| Progressive | Validation error is not visible until value is edited. |
| Implicit | Validation error is always visible since the very beginning. |
| Explicit | Validation error is not visible until Validate is explicitly called. |
Validation Presenter and View
You can call CanSubmitInput to determine whether data input (both scalar and row) can be submitted without any validation error. You can also try to submit data input via SubmitInput API.
You can access validation logic via Your presenter object's ScalarValidation and RowValidation property. You can get validation errors that will be displayed in UI via ScalarValidation.VisibleErrors and RowPresenter.VisibleValidationErrors.
Visible validation errors are represented as IValidationErrors object, which is a collection of objects derived from ValidationError:
| Validation Error | Validator | Validation Source |
|---|---|---|
| FlushingError | Flushing validator | UIElement |
| DataValidationError | Model validator/async model validator | IColumns |
| ScalarValidationError | Scalar validator/async scalar validator | IScalars |
| AsyncValidationFault | Async validator | AsyncValidator |
Visible validation errors will be automatically associated with an UI element in the view, based on the validation source, matched in the order of:
- Target UI element of two way data binding;
- RowView (row validation only);
- DataView.
These validation errors will then be displayed via the following template provided by attached properties of static Validation class:
| Attached Property | Description |
|---|---|
| Validation.Status | A value of ValidationStatus. |
| Validation.SucceededTemplate | Template for Succeeded status. |
| Validation.FailedFlushingTemplate | Template for FailedFlushing status. |
| Validation.FailedTemplate | Template for Failed status. |
| Validation.ValidatingTemplate | Template for Validating status. |
The following view components are provided specially for validation error display, as demonstrated in ValidationUI
sample:
- ValidationPlaceholder: Displays validation error from specified sources.
- ValidationErrorsControl: Displays validation errors list.


Dear {{ name }},
This is a notice to remind you that the book "{{ title }}" will be due on {{ due_date }}. Please remember to return it to the CCBC Library before due date.
Kind regards, CCBC Library team


Package org.drip.pricer.option
Class Greeks
java.lang.Object
org.drip.pricer.option.Greeks
- Direct Known Subclasses:
PutGreeks
public class Greeks
extends java.lang.Object
Greeks contains the Sensitivities/Pricing Measures common across both Call and Put Option Pricing
Runs.
- Module = Product Core Module
- Library = Fixed Income Analytics
- Project = Custom Pricing Algorithms and the Derivative Fokker Planck Trajectory Generators
- Package = Deterministic/Stochastic Volatility Settings/Greeks
- Author:
- Lakshmi Krishnamurthy
-
Constructor Summary
Constructors Constructor Description Greeks(double dblDF, double dblEffectiveVolatility, double dblExpectedPayoff, double dblExpectedATMPayoff, double dblPrice, double dblProb1, double dblProb2, double dblDelta, double dblVega, double dblTheta, double dblRho, double dblGamma, double dblVanna, double dblVomma, double dblCharm, double dblVeta, double dblColor, double dblSpeed, double dblUltima)
The Greeks Constructor -
Method Summary
Modifier and Type Method Description double
charm()
The Option Charmdouble
color()
The Option Colordouble
delta()
The Option Deltadouble
df()
The Option Terminal Discount Factordouble
effectiveVolatility()
The "Effective" Volatilitydouble
expectedATMPayoff()
The Expected ATM Payoffdouble
expectedPayoff()
The Expected Payoffdouble
gamma()
The Option Gammadouble
price()
The Option Pricedouble
prob1()
The Prob 1 Termdouble
prob2()
The Prob 2 Termdouble
rho()
The Option Rhodouble
speed()
The Option Speeddouble
theta()
The Option Thetadouble
ultima()
The Option Ultimadouble
vanna()
The Option Vannadouble
vega()
The Option Vegadouble
veta()
The Option Vetadouble
vomma()
The Option VommaMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
Greeks
public Greeks(double dblDF, double dblEffectiveVolatility, double dblExpectedPayoff, double dblExpectedATMPayoff, double dblPrice, double dblProb1, double dblProb2, double dblDelta, double dblVega, double dblTheta, double dblRho, double dblGamma, double dblVanna, double dblVomma, double dblCharm, double dblVeta, double dblColor, double dblSpeed, double dblUltima) throws java.lang.ExceptionThe Greeks Constructor- Parameters:
dblDF
- The Payoff Discount FactordblEffectiveVolatility
- Effective VolatilitydblExpectedPayoff
- Expected Forward PayoffdblExpectedATMPayoff
- Expected ATM Forward PayoffdblPrice
- PricedblProb1
- Probability Term #1dblProb2
- Probability Term #2dblDelta
- DeltadblVega
- VegadblTheta
- ThetadblRho
- RhodblGamma
- GammadblVanna
- VannadblVomma
- VommadblCharm
- CharmdblVeta
- VetadblColor
- ColordblSpeed
- SpeeddblUltima
- Ultima- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
-
Method Details
-
df
public double df()The Option Terminal Discount Factor- Returns:
- The Option Terminal Discount Factor
-
effectiveVolatility
public double effectiveVolatility()The "Effective" Volatility- Returns:
- The "Effective" Volatility
-
expectedPayoff
public double expectedPayoff()The Expected Payoff- Returns:
- The Expected Payoff
-
expectedATMPayoff
public double expectedATMPayoff()The Expected ATM Payoff- Returns:
- The Expected ATM Payoff
-
price
public double price()The Option Price- Returns:
- The Option Price
-
prob1
public double prob1()The Prob 1 Term- Returns:
- The Prob 1 Term
-
prob2
public double prob2()The Prob 2 Term- Returns:
- The Prob 2 Term
-
delta
public double delta()The Option Delta- Returns:
- The Option Delta
-
vega
public double vega()The Option Vega- Returns:
- The Option Vega
-
theta
public double theta()The Option Theta- Returns:
- The Option Theta
-
rho
public double rho()The Option Rho- Returns:
- The Option Rho
-
gamma
public double gamma()The Option Gamma- Returns:
- The Option Gamma
-
vanna
public double vanna()The Option Vanna- Returns:
- The Option Vanna
-
vomma
public double vomma()The Option Vomma- Returns:
- The Option Vomma
-
charm
public double charm()The Option Charm- Returns:
- The Option Charm
-
veta
public double veta()The Option Veta- Returns:
- The Option Veta
-
color
public double color()The Option Color- Returns:
- The Option Color
-
speed
public double speed()The Option Speed- Returns:
- The Option Speed
-
ultima
public double ultima()The Option Ultima- Returns:
- The Option Ultima
-


|
Figure 1
|
Schematic of the D. suzukii population dynamics model presen ... |
|
Figure 2
|
(A) Sample temperature profiles for Burlington, New Jersey f ... |
|
Figure 3
|
Aggregated consensus maps of the modelled populations. Data ... |
|
Figure 4
|
(A) Mean normalized population distribution across North Ame ... |
|
Figure 5
|
Grid cell coefficient of variation in population sizes versu ... |
|
Figure 6
|
Normalized populations for historic temperatures and GCM pro ... |
|
Figure 7
|
(A) and (B) Normalized populations over 20 years of historic ... |


Developer tools
Back to my recordAdd your application details and one or more redirect URIs in the form below. Once these details are saved we’ll generate your client ID and secret so you can start using the Public API right away.
 You must provide these URIs in advance or your integration users will experience an error.
-
Only HTTPS URIsare accepted in production -
Domains registered MUSTexactly match the domains used, including subdomains -
Register all redirect URIs fully where possible.
This is the most secure option and what we recommend. For more information about redirect URIs, please see our redirect URI FAQ
Please add a redirect URI before saving your application
Example code
Provides an authorization code that can be exchanged for an access token and an authenticated ORCID iD.
Endpoint{{ baseURL }}/oauth/authorize
Scope/authenticate
Response typecode
{{ baseURL }}/oauth/authorize?client_id={{
this.existingClient.clientId.value
}}&response_type=code&scope=/authenticate&redirect_uri=REPLACE WITH REDIRECT URI
Provides an authenticated ORCID iD and an access token that can be used to read public information on the record.
Endpoint{{ baseURL }}/oauth/token
Response typeaccess token and ORCID iD
curl -i -L -k -H 'Accept: application/json' --data
'client_id={{
this.existingClient.clientId.value
}}&client_secret={{
this.existingClient.clientSecret.value
}}&grant_type=authorization_code&redirect_uri=REPLACE WITH REDIRECT URI &code=REPLACE WITH OAUTH CODE ' {{ baseURL }}/oauth/token
{{ baseURL }}/oauth/token
Scopeopenid
Response typetoken
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Physics Matters Lecture Series
Gamma Rays & Cosmic Rays
Dec. 3, 2020
How the most energetic light is helping to solve a century-old mystery
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Fast Radio Bursts
June 22, 2020
How these big booms are changing the landscape of astronomy
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Take it to the Limit: Mammoth Machines and the Tiniest Particles
May 21, 2020
This talk will cover how we study the smallest building blocks of matter using the collider and the famous ATLAS experiment.
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Life as an Astronomer at the South Pole
May 6, 2020
A livestream given by Maclean Rouble, Cynthia Chiang, and Josh Montgomery where they discuss what it is like to be an astronomer at the south pole.
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Biophysics: How Physicists Think About Life
Jan. 21, 2020
In this talk, Zheng will discuss the question of how and why life arose in the first place, and the role of physicists in shedding light on this question.
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The Oldest Light in the Universe
Dec. 5, 2019
In this talk, Sievers will explain where the cosmic microwave background comes from, how it is studied, and some of what has been learned from it.
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String Theory: How the Universe Speaks in Numbers
Nov. 21, 2019
In this talk, Trinh will discuss the history of research about string nature and how this theory could explain many questions about the universe.
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Public Lecture by Nobel Laureate Donna Strickland
Nov. 7, 2019
This year, for the Anna McPherson Public Lecture we have the honour of having Dr. Strickland talk about the work for which Gérard Mourou and she were awarded the Nobel Prize in Physics in 2018.
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Cosmic Dawn: The Search for the First Stars
Sept. 18, 2019
In this lecture, Peterson discusses how cosmologists study the first starts in the universe to understand where they came from.
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Origins: How the Earth Shaped Human History
Sept. 18, 2019
When we talk about human history, we focus on great leaders, revolutions, and technological advances. But how has the Earth itself determined our destiny? How has our planet made us?
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The Secrets of Quantum Levitation: Superconductivity and its Application
June 4, 2019
In this lecture, we will learn how superconductivity works at the atomic scale before covering its various applications, from levitating trains to Dark Matter detectors.
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From Radioactivity to Quarks: The Evolution of Nuclear Physics
May 7, 2019
In this talk, Singh will trace the exciting journey of nuclear physics, from the discovery of radioactivity to quarks, and how scientific ideas progess over time in light of new theoretical and experimental developments.
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On the Nature of Time
April 9, 2019
In this talk, Guilherme Franzmann will talk about the nature of time itself and how understanding time plays a key role in understanding Quantum Gravity, Cosmology and the Big Bang.
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CAP Lecture: The best extrasolar planets
Mar. 20, 2019
How close are we to actually detecting extrasolar life? The prospect seems remote, but technology is bringing us closer. Metchev will discuss developments in astrophysics which have allowed scientists to discover the best extrasolar planets in search for life.
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The Physics of Batteries and their Role in Future Technologies
Mar. 12, 2019
In this talk, Enright will explore how batteries work at an atomic level and what this causes at our level, and discuss and what challenges exist now, and where future technologies can go.
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'Seeing' atoms: Our world at the nanoscale
Feb. 5, 2019
In this talk, Megan Cowie will discuss the history of nanotechnolohy, starting from how we came to know about atoms, to where we are now: building nano-scale technology that shapes our everyday lives.
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New Windows on the Cosmos
Jan. 24, 2019
In this talk, Dr. Freedman will address technological advancements that have lead to remarkable discoveries in the field of cosmology, and show how new facilities being built on Earth will uncover some of the biggest mysteries in astronomy today.
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Neutron Stars - Extraordinary Cosmic Laboratories
Dec. 13, 2018
In this talk, Vanessa Graber will take us on an exciting journey to the interior of neutron stars and show us how combining astronomy, astrophysics and quantum physics can teach us about the exotic behaviour of matter under extreme conditions.
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Why Does it (Anti-)Matter?
Nov. 15, 2018
In this talk, Hannah Wakeling will discuss how antimatter appears in our daily lives without most of us even realising it. Plus, find out how we can use antimatter in colliders such as the Large Hadron Collider and SuperKEKB to search for the truth about beginning of the Universe!
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Capturing Atomic Motion with the Worlds Fastest Cameras
Oct. 25, 2018
In this talk, Marty Otto will discuss how state of the art laser science and electron microscopy allow us to observe processes in nature as they unfold in real-time.
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Unpacking Gravitational Waves: The Road to Discovery
Sept. 27, 2018
In this talk, Benjamin Dringoli will discuss the dawn of gravitational wave astronomy, taking us on a journey from the early theoretical work by Einstein and others to the LIGO detection that made headlines just a few years ago.
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Neutrinos and the Hunt for these Ghostly Particles
May 3, 2018
In this talk, Dr. Thomas Brunner will give a historic introduction to neutrinos and present current and future detectors that aim at unlocking some of the neutrinos' mysteries.
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Entanglement Matters
April 5, 2018
In this talk, Dr. Witczak-Krempa will discuss the ongoing entaglement revolution and how it is changing our understanding of matter, ranging from superconductors to ultra-cold gases.
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Weather, Macroweather and Climate: Big and Small, Fast and Slow, Our Random Yet Predictable Atmosphere
Mar. 1, 2018
In this talk, Dr. Lovejoy will explain this new thing called macroweather which sits in between weather and climate, and he will seek to convince you that the atmosphere is not what you thought it was.
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Discovering the Truth in High Energy Physics
Feb. 8, 2018
In this talk, Dr. Dominguez will explain how physicists use the Large Hadron Collider to discover the truth about how the universe really works.
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How Green Chemistry Invents New Ways from Abundant Resources and Energies
Jan. 4, 2018
In this talk, Prof. Audrey Moores from the Department of Chemistry at the McGill University will discuss sustainability and some potential roles chemistry can play, such as using iron to replace precious metals in important industrial processes.
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Winning the War on Climate Change: Twelve Myths Debunked
Dec. 7, 2017
In his talk, Prof. Normand Mousseau from the Department of Physics at the Université de Montréal will debunk twelve climate change myths. With this gained clarity, it will become clear that the solution to climate change issues is not foremost of technological or scientific nature, but is fundamentally political.
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The Beautiful Two-dimensional World: An Exploration of Flatworld
Nov. 2, 2017
Prof. Michael Hilke from the Department of Physics at McGill University will talk about his research on special types of materials, such as graphene. He talk will go into the two-dimensional lives of electrons living on these special materials.
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Metamaterials: Going Beyond What Nature Gives Us
Oct. 5, 2017
Prof. Amy Szuchmacher Blum from the Department of Chemistry at McGill University will talk about her research on metamaterials. We will learn about the applications of metamaterials and examples of how the Blum group are repurposing proteins from viruses to make these exciting new materials.

Sept. 7, 2017
Prof. Robert Brandenberger from McGill University will talk about his research on the origins of the universe. We will explore how seeds laid down in the very early universe developed into the large-scale structure we observe today, and how this may teach us about the beginnings of the universe.
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Machine Learning and Crowdsourcing Made Easy for Physicists
May 4, 2017
Everybody Can Teach a Machine a Little Physics! This lecture will give a basic introduction to machine learning and show examples of its application in physics. Some of these physics problems are tackled via a citizen-science/crowdsourcing approach, where science enthusiasts can inspect physics data (often in the form of images) and provide feedback that is used to train machine learning models.
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Global Warming: We've Had This Coming For A Long Time
April 6, 2017
Prof. Nicolas Cowan (McGill U.)
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Cutting it Both Ways - Ionizing Radiation and Cancer
Mar. 2, 2017
Prof. John Kildea (Medical Physics at McGill U.)
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From N-Rays to Cold Fusion to NASA’s EMDrive: A Tour of Pathological Science
Feb. 2, 2017
Prof. Brian Watson (St. Lawrence University)
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Black Holes, String Theory and Quantum Gravity
Jan. 5, 2017
Prof. Alex Maloney (McGill U.)
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Nanotechnology: there is plenty of room at the bottom
Dec. 1, 2016
Prof. Peter Grutter (McGill U.)
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The Quest for Quark-Gluon Plasma — Nuclear Matter at Trillion Degree Temperatures
Oct. 6, 2016
Prof. Sangyong Jeon (McGill U.)
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The Wave, Particle, and Mechanical Properties of Light
Sept. 1, 2016
Prof. Jack Sankey (McGill U.)
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Quantum Computing: The Science Behind the News
Aug. 4, 2016
Prof. Bill Coish (McGill U.)
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In Awe of Atoms: Lego Blocks of the World around Us
May 5, 2016
Prof. Mark Sutton (McGill)
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Why the Warming Can't Be Natural: The Nonlinear Physics of Climate Closure
Mar. 10, 2016
Prof. Shaun Lovejoy (McGill)
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| ouchtree {ouch} | R Documentation |
ouchtree
constructs a representation of a phylogenetic tree.
ape2ouch
translates ape's phylo
representation of a phylogenetic tree into ouch's ouchtree
representation.
Optionally, the user can adjust the branch lengths while preserving the topology.
ouchtree(nodes, ancestors, times, labels = as.character(nodes))
ape2ouch(tree, scale = TRUE, branch.lengths = tree$edge.length)
nodes |
A character vector giving the name of each node. These are used internally and must be unique. |
ancestors |
Specification of the topology of the phylogenetic tree.
This is in the form of a character vector specifying the name
(as given in the |
times |
A vector of nonnegative numbers, one per node in the tree, specifying the time at which each node is located. Time should be increasing from the root node to the terminal twigs. |
labels |
Optional vector of node labels. These will be used in plots to label nodes. It is not necessary that these be unique. |
tree |
a tree of class ape::phylo. |
scale |
optional.
If |
branch.lengths |
optional vector of branch lengths. |
ouchtree()
creates an ouchtree
object given information on the phylogeny's topology and node times.
An ouchtree
object also (optionally) holds names of taxa for display purposes.
Aaron A. King
A. A. King, D. Ackerly
Other phylogenetic comparative models:
brown()
,
hansen()
,
ouch-package
,
paint()
tree <- with(
bimac,
ouchtree(nodes=node,ancestors=ancestor,times=time,labels=spcode)
)
tree
plot(tree)
plot(tree, node.names=TRUE) # display node names


|
Shibhansh Dohare
I am a Ph.D. student in the RLAI lab at the University of Alberta, advised by Dr. Richard Sutton and Dr. Rupam Mahmood. I did my undergrad at IIT Kanpur, majoring in Computer Science and Engineering.
My long-term research goal is to understand the working of our minds. Specifically, to find the fundamental computational principles that give rise to the mind. In pursuit of this goal, I'm working on various aspects of continual learning, deep learning, and reinforcement learning.
Besides research, I love climbing, social dancing, trying new food, running, playing board games, and the mountains.
Email  /
CV  /
Google Scholar  /
Twitter  /
Github
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News
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| [Oct, 2022] |
Released a repo containing supervised learning problems where we can study loss of plasticity. |
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| [Aug, 2022] |
I shared a keynote keynote at CoLLAs with Rich on Maintaining Plasticity in Deep Continual Learning. |
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| [Apr, 2022] |
I presented our paper, Continual Backprop: Stochastic Gradient Descent with Persistent Randomness, at RLDM. |
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Research
My favorite papers are highlighted.
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Maintaining Plasticity in Continual Deep Learning
Shibhansh Dohare,
J Fernando Hernandez-Garcia,
Parash Rahman,
Richard S. Sutton,
A. Rupam Mahmood
In preparation
Code
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Previous version on arxiv
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Talk
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Slides
Provide first direct demonstration of the catastrophic loss of plasticity faced by deep learning methods in continual learning problems.
We propose a new algorithm, continual backpropagation, that fully maintains plasticity.
Continual backpropagation re-initializes a small fraction of less-used units and performs a gradient descent step at each update.
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Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
Bram Grooten,
Ghada Sokar,
Shibhansh Dohare,
Elena Mocanu,
Matthew E. Taylor,
Mykola Pechenizkiy,
Decebal Constantin Mocanu,
AAMAS 2023
Paper
We show that standard Deep RL algorithms fail when the input contains noisy features.
Dynamic sparse training successfully filters through the noisy features and performs well.
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Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan,
Shibhansh Dohare,
James MacGlashan,
Johannes Günther,
Patrick M. Pilarski,
AAAI, Oral Presentation, 2020
Paper
We present Gamma-nets, a method for generalizing value function estimation over timescale.
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Unsupervised Semantic Abstractive Summarization
Shibhansh Dohare,
Vivek Gupta,
Harish Karnick,
ACL, Student Research Workshop, 2018
Paper
A novel algorithm for abstractive text summarization based on Abstract Meaning Representation.
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