Rules: At the Double, Forward to Victory, Inspiring Presence
Selections: 1. Soul Cage, 2. Wychlight Lantern, Chill Blade, Spectral Lure
Categories: DEATH, MALIGNANT, NIGHTHAUNT, HERO, WIZARD, GUARDIAN OF SOULS, Leader, Lantern, Artefact
Artefact: Wychlight Lantern, Magic: Guardian of Souls, Spell: Arcane Bolt, Mystic Shield, Soul Cage, Spectral Lure, Unit: Guardian of Souls, Unit Abilities: Ethereal, Fly, Nightmare Lantern, Weapon: Chill Blade
| Artefact | Artefact Details |
|---|---|
| Wychlight Lantern | Add 1 to casting rolls for the bearer. |
| Magic | Cast/Unbind | Spells Known |
|---|---|---|
| Guardian of Souls | 1/1 | Arcane Bolt, Mystic Shield, Spectral Lure |
| Spell | Casting Value | Description |
|---|---|---|
| Arcane Bolt | 5 | If successfully cast, pick an enemy unit within 18" of the caster that is visible to them. That unit suffers 1 mortal wound. If the casting roll was 10 or more, the unit suffers D3 mortal wounds instead. |
| Mystic Shield | 6 | If successfully cast, pick a friendly unit within 18" of the caster that is visible to them. Re-roll save rolls of 1 for that unit until your next hero phase. |
| Soul Cage | 6 | If successfully cast, pick an enemy unit within 12" of the caster that is visible to them. Until the start of your next hero phase, that unit cannot retreat. In addition, until your next hero phase, that unit fights at the end of the combat phase. |
| Spectral Lure | 6 | If successfully cast, pick a friendly SUMMONABLE NIGHTHAUNT unit wholly within 24" of the caster. You can either heal D6 wounds that have been allocated to that unit or, if no wounds have been allocated to the unit, you can return a number of slain models to it that have a combined Wounds characteristic equal to or less than the roll of a D6. |
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Guardian of Souls | 6" | 5 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Nightmare Lantern | Add 1 to wound rolls for attacks made with melee weapons used by friendly NIGHTHAUNT units that are wholly within 12" of this model. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Chill Blade | Melee | 1" | 3 | 3+ | 3+ | -1 | 1 |
Selections: 2. Spirit Drain, General, Staff of Midnight
Categories: DEATH, MALIGNANT, NIGHTHAUNT, HERO, WIZARD, MORTARCH, LADY OLYNDER, Leader, General
Command Abilities: No Rest for the Wicked, Magic: Lady Olynder, Mortarch of Grief, Spell: Arcane Bolt, Grief-stricken, Mystic Shield, Spirit Drain, Unit: Lady Olynder, Mortarch of Grief, Unit Abilities: Ethereal, Fly, Grave-sands of Time, Lifting the Veil, Mortarch of Grief, Wail of the Damned, Weapon: Staff of Midnight
Selections: Banshee Handmaidens Spectral Claws
Unit Abilities: Frightful Touch, Weapon: Banshee Handmaidens Spectral Claws
| Command Abilities | Command Ability Details |
|---|---|
| No Rest for the Wicked | You can use this command ability in your hero phase if this model is your general and is on the battlefield. If you do so, you can return 1 slain model to each friendly SUMMONABLE NIGHTHAUNT unit that is within 12" of a friendly model with this command ability. |
| Magic | Cast/Unbind | Spells Known |
|---|---|---|
| Lady Olynder, Mortarch of Grief | 2/2 | Arcane Bolt, Mystic Shield, Grief-stricken |
| Spell | Casting Value | Description |
|---|---|---|
| Arcane Bolt | 5 | If successfully cast, pick an enemy unit within 18" of the caster that is visible to them. That unit suffers 1 mortal wound. If the casting roll was 10 or more, the unit suffers D3 mortal wounds instead. |
| Grief-stricken | 7 | If successfully cast, pick an enemy unit that is within 18" of the caster and visible to them. Until your next hero phase, subtract 1 from hit rolls for attacks made by that unit and add 1 to hit rolls for attacks made with melee weapons that target that unit. |
| Mystic Shield | 6 | If successfully cast, pick a friendly unit within 18" of the caster that is visible to them. Re-roll save rolls of 1 for that unit until your next hero phase. |
| Spirit Drain | 4 | If successfully cast, pick an enemy model within 18" of the caster that is visible to them. Roll a number of dice equal to the model's Wounds characteristic. For each 6+ that model's unit suffers 1 mortal wound. |
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Lady Olynder, Mortarch of Grief | 6" | 7 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Frightful Touch | If the unmodified roll for an attack made with the <Banshee Mandmaidens' Spectral Claws>, <Wraith Herald's Spectral Claws>, <Fellreaper>, <Reaper Scythe> <Chill Dagger> <Spectral Scythe> <Cairn Wraith's Reaper Scythe> <Spectral Claws and Daggers> <Spectral Host's Ethereal Weapons>, <Mourngul's Nightmarish Claws and Fangs> is 6, that attack inflicts <the weapon damage as a> mortal wound and the attack sequence ends (do not make a wound or save roll). |
| Grave-sands of Time | Once per battle, in your pero phase, you can choose either to inflict D6 mortal sounds on an enemy HERO within 6" of this model, or heal D6 wounds that have been allocated to this model. |
| Lifting the Veil | At the start of your hero phase, pick an enemy unit within 12" of this model and that is visible to her and roll a dice. On a 1, nothing happens. On a 2+ that unit suffers a number of mortal wounds equal to the roll. Inaddition, if any enemy models are slain by this ability, immediately heal D3 wounds that have been allocated to this model. |
| Mortarch of Grief | Add 1 to the number of models that flee from enemy units that fail a battleshock test while they are within 12" of this model. |
| Wail of the Damned | At the start of your shooting phase, roll 2D6 for each enemy unit within 10" of this model. If the roll for the unit is higher than its Bravery characteristic, it suffers D3 mortal wounds. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Banshee Handmaidens Spectral Claws | Melee | 1" | 6 | 4+ | 4+ | - | 1 |
| Staff of Midnight | Melee | 2" | 3 | 3+ | 3+ | -2 | D3 |
Selections: 2. Pendant of the Fell Wind, Shacklegheist Chains
Categories: DEATH, MALIGNANT, NIGHTHAUNT, HERO, SPIRIT TORMENT, Leader, Artefact
Artefact: Pendant of the Fell Wind, Unit: Spirit Torment, Unit Abilities: Captured Soul Energy, Ethereal, Fly, Nagash's Bidding, Weapon: Shacklegheist Chains
| Artefact | Artefact Details |
|---|---|
| Pendant of the Fell Wind | Add 3" to normal moves made by friendly NIGHTHAUNT units that are wholly within 12" of the bearer at the start of that normal move. |
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Spirit Torment | 6" | 6 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Captured Soul Energy | At the start of the battleshock phase, if 3 or more enemy models were slain that turn, pick a friendly NIGHTHAUNT unit within 6" of this model and heal D3 wounds that have been allocated to that unit. If 3 or more enemy STORMCAST ETERNAL models were slain that turn, heal 3 wounds instead of D3 wounds. Alternatively, instead of healing the unit you picked, if models from that unit have been slain, you can return them to the unit. Roll a D3; you can return any slain models to that unit that have a combined Wounds characteristic of less than or equal to the number you rolled. If your army includes more than one SPIRIT TORMENT, at least 3 enemy models must have been slain during the turn for each SPIRIT TORMENT that uses this ability, and no SPIRIT TORMENT can use this ability more than once in the same battleshock phase. |
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Nagash's Bidding | Re-roll hit rolls of 1 for friendly NIGHTHAUNT units while they are wholly within 12" of any friendly Spirit Torments. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Shacklegheist Chains | Melee | 2" | 3 | 4+ | 3+ | -2 | D3 |
Selections: 10 Chainrasps [80pts], Malignant Weapon
Categories: DEATH, MALIGNANT, NIGHTHAUNT, SUMMONABLE, CHAINRASP HORDE, Battleline
Unit: Chainrasp, Unit Abilities: Chilling Horde, Dreadwarden, Ethereal, Fly, Weapon: Malignant Weapon
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Chainrasp | 6" | 1 | 6 | 5+ |
| Unit Abilities | Ability Details |
|---|---|
| Chilling Horde | Re-roll wound rolls of 1 for this unit while it has more than 10 models. |
| Dreadwarden | The leader of this unit is a Dreadwarden. Add 1 to the Attacks characteristic of a Dreadwarden's Malignant Weapon. In addition, a Chainrasp Horde has a Bravery characteristic of 10 instead of 6 while it includes a Dreadwarden. |
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Malignant Weapon | Melee | 1" | 2 | 4+ | 4+ | - | 1 |
Selections: 2x 5 Bladegheist Revenants [180pts], Tomb Greatblade
Categories: DEATH, MALIGNANT, NIGHTHAUNT, SUMMONABLE, BLADEGHEIST REVENANTS, Other
Unit: Bladegheist Revenant, Unit Abilities: Ethereal, Fearful Frenzy, Fly, Whirling Death, Weapon: Tomb Greatblade
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Bladegheist Revenant | 8" | 1 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fearful Frenzy | You can re-roll failed hit rolls for attacks made by this unit if it is wholly within 12" of any friendly SPIRIT TORMENTS or CHAINGHASTS |
| Fly | This unit can fly. |
| Whirling Death | This unit can retreat and charge in the same turn. In addition, add 1 to the Attacks characteristic of this unit's Tomb Greatblades if it made a charge move in the same turn. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Tomb Greatblade | Melee | 1" | 2 | 3+ | 3+ | -1 | 1 |
Selections: 2x 4 Myrmourn Banshees [140pts], Chill Dagger
Categories: DEATH, MALIGNANT, NIGHTHAUNT, SUMMONABLE, MYRNMOURN BANSHEES, Other
Unit: Myrmourn Banshees, Unit Abilities: Ethereal, Fly, Spell-eaters, Weapon: Chill Dagger
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Myrmourn Banshees | 8" | 1 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Spell-eaters | Once in each enemy hero phase, if this unit is within 18" of an enemy WIZARD that successfully casts a spell, this unit can attempt to unbind the spell in the same manner as a Wizard. If it does so, add 1 to the unbinding roll for every 4 models in this unit. In addition, if this unit unbinds an enemy spell, add 1 to the Attacks characteristic of this unit’s Chill Daggers until the next enemy hero phase. Once in each of your hero phases, if this unit is within 6" of an ENDLESS SPELL, this unit can attempt to dispel the endless spell in the same manner as a WIZARD. If this unit dispels an endless spell, it suffers D3 mortal wounds, but add 1 to the Attacks characteristic of this unit’s Chill Daggers until your next hero phase. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Chill Dagger | Melee | 1" | 1 | 4+ | 3+ | -2 | D3 |
Categories: DEATH, Battalion
Battalion Abilities: The Headsman's Masses
Selections: Decapitating Greataxe
Categories: DEATH, MALIGNANT, NIGHTHAUNT, HERO, LORD EXECUTIONER, Leader
Unit: Lord Executioner, Unit Abilities: Beheading Strike, Disembodied Skulls, Ethereal, Fly, Staring Death in the Face, Weapon: Decapitating Greataxe
Selections: 3 Spirit Hosts [120pts], Spectral Claws and Daggers
Categories: DEATH, MALIGNANT, NIGHTHAUNT, SUMMONABLE, SPIRIT HOSTS, Other, Battleline
Unit: Spirit Hosts, Unit Abilities: Ethereal, Fly, Frightful Touch, Weapon: Spectral Claws and Daggers
Selections: 3 Spirit Hosts [120pts], Spectral Claws and Daggers
Categories: DEATH, MALIGNANT, NIGHTHAUNT, SUMMONABLE, SPIRIT HOSTS, Other, Battleline
Unit: Spirit Hosts, Unit Abilities: Ethereal, Fly, Frightful Touch, Weapon: Spectral Claws and Daggers
Selections: 3 Spirit Hosts [120pts], Spectral Claws and Daggers
Categories: DEATH, MALIGNANT, NIGHTHAUNT, SUMMONABLE, SPIRIT HOSTS, Other, Battleline
Unit: Spirit Hosts, Unit Abilities: Ethereal, Fly, Frightful Touch, Weapon: Spectral Claws and Daggers
| Battalion Abilities | Battalion Ability Details |
|---|---|
| The Headsman's Masses | Subtract 1 from hit rolls for attacks that target this battalion’s LORD EXECUTIONER while a SPIRIT HOST unit from this battalion is within 6" of the attacker’s unit. In addition, add 1 to hit rolls for attacks made by this battalion’s LORD EXECUTIONER while any SPIRIT HOST units from this battalion are within 6" of the target unit. |
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Lord Executioner | 6" | 5 | 10 | 4+ |
| Spirit Hosts | 6" | 3 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Beheading Strike | If a wound roll for a Decapitating Greataxe is 6+, add 2 to the Damage characteristic of the weapon for that attack. |
| Disembodied Skulls | Roll a D6 each time this models suffers a mortal wound. on a 5+, the wound is negated. |
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Frightful Touch | If the unmodified roll for an attack made with the <Banshee Mandmaidens' Spectral Claws>, <Wraith Herald's Spectral Claws>, <Fellreaper>, <Reaper Scythe> <Chill Dagger> <Spectral Scythe> <Cairn Wraith's Reaper Scythe> <Spectral Claws and Daggers> <Spectral Host's Ethereal Weapons>, <Mourngul's Nightmarish Claws and Fangs> is 6, that attack inflicts <the weapon damage as a> mortal wound and the attack sequence ends (do not make a wound or save roll). |
| Staring Death in the Face | At the start of the combat phase, you can pick an enemy HERO within 3" of this model. Subtract 1 from hit rolls for attacks made by that HERO in that combat phase. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Decapitating Greataxe | Melee | 2" | 3 | 3+ | 3+ | -2 | 1 |
| Spectral Claws and Daggers | Melee | 1" | 6 | 5+ | 4+ | - | 1 |
Categories: Battalion
Battalion Abilities: Knights of Regret
Selections: 5 Hexwraiths [140pts], Spectral Scythe
Categories: DEATH, HEXWRAITHS, MALIGNANT, NIGHTHAUNT, SUMMONABLE, Other, Battleline
Unit: Hexwraith, Unit Abilities: Ethereal, Fly, Frightful Touch, Hellwraith, Spectral Hunters, Weapon: Spectral Scythe
Selections: Skeletal Steed's Hooves and Teeth
Weapon: Hooves and Teeth
Selections: 5 Hexwraiths [140pts], Spectral Scythe
Categories: DEATH, HEXWRAITHS, MALIGNANT, NIGHTHAUNT, SUMMONABLE, Other, Battleline
Unit: Hexwraith, Unit Abilities: Ethereal, Fly, Frightful Touch, Hellwraith, Spectral Hunters, Weapon: Spectral Scythe
Selections: Skeletal Steed's Hooves and Teeth
Weapon: Hooves and Teeth
| Battalion Abilities | Battalion Ability Details |
|---|---|
| Knights of Regret | Add 1 to the Attacks characteristic of melee weapons used by units from this battalion that have made a charge move in the same turn. In addition, roll a dice before you allocate a wound or mortal wound to your general if your general is within 3" of any friendly units with this ability. On a 2+, you must allocate that wound or mortal wound to a friendly unit with that ability that is within 3" of your general, instead of your general. |
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Hexwraith | 12" | 2 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Ethereal | Ignore modifiers (positive or negative) when making save rolls for this unit. |
| Fly | This unit can fly. |
| Frightful Touch | If the unmodified roll for an attack made with the <Banshee Mandmaidens' Spectral Claws>, <Wraith Herald's Spectral Claws>, <Fellreaper>, <Reaper Scythe> <Chill Dagger> <Spectral Scythe> <Cairn Wraith's Reaper Scythe> <Spectral Claws and Daggers> <Spectral Host's Ethereal Weapons>, <Mourngul's Nightmarish Claws and Fangs> is 6, that attack inflicts <the weapon damage as a> mortal wound and the attack sequence ends (do not make a wound or save roll). |
| Hellwraith | The leader of this unit is a Hellwraith. Add 1 to the Attacks characteristic of a Hellwraith’s Spectral Scythe. |
| Spectral Hunters | In your movement phase, immediately after this unit has moved, you can pick an enemy unit that has any models that a model from this unit passed across. If you do so, roll a dice for each model from this unit that passed across the enemy unit. For each roll of 5+, that enemy unit suffers 1 mortal wound. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Hooves and Teeth | Melee | 1" | 2 | 4+ | 5+ | - | 1 |
| Spectral Scythe | Melee | 1" | 2 | 4+ | 3+ | -1 | 1 |
Selections: Allegiance: Nighthaunt
Categories: Allegiance
Battle Trait: Aura of Dread, Deathless Spirits, Feed on Terror, From the Underworlds They Come, Wave of Terror, Command Abilities: Spectral Summons
| Battle Trait | Battle Trait Details |
|---|---|
| Aura of Dread | Subtract 1 from the Bravery characteristic of enemy units while they are within 6" of any friendly NIGHTHAUNT units. |
| Deathless Spirits | Roll a dice for each wound or mortal wound inflicted on a friendly NIGHTHAUNT unit wholly within 12" of your general or a friendly NIGHTHAUNT HERO from your army. On a 6+ the wound is negated. |
| Feed on Terror | Each time an enemy unit fails a battleshock test, pick one friendly NIGHTHAUNT HERO within 6" of that enemy unit. Heal 1 wound that has been allocated to that HERO. |
| From the Underworlds They Come | Instead of setting up a NIGHTHAUNT unit on the battlefield, you can place it to one side and say that it is in the underworlds as a reserve unit. You can set up one unit in the underworlds for each unkit you set up on the batlefield. At the end of your movement phase you can set up any of these models ore than 9" from any enemy models. This counts as thei move for that turn. Any units which are not set up on the battlefield before the start of the fourth battle round are slain. |
| Wave of Terror | If you make an unmodified charge roll of 10+ for a friendly NIGHTHAUNT unit, it can fight immediately after you complete the charge move. This does not stop the unit from being picked to fight in the combat phase of the same turn. |
| Command Abilities | Command Ability Details |
|---|---|
| Spectral Summons | You can use this command ability at the start of your movement phase. If you do so, pick a friendly NIGHTHAUNT unit that is on the battlefield. Remove that unit from the battlefield, and then set it up wholly within 12' of your general and more than 9" from any enemy models. This counts as their move for that movement phase. |
Selections: 2000 Points - Battlehost
Categories: Game Options, Battlehost
Selections: Origin: Shyish
Categories: Realm of Origin
Categories: DEATH, MORTALIS TERMINEXUS, ENDLESS SPELL, Malign Sorcery
Spell: Summon Mortalis Terminexus, Unit Abilities: Empowered by Shyish, Fly, Keeper of Mortality, Predatory
| Spell | Casting Value | Description |
|---|---|---|
| Summon Mortalis Terminexus | 6 | Only Nagash, Supreme Lord of the Undead and Nighthaunt Wizards can attempt to cast Summon Mortalis Terminexus. If successfully cast, set up a Mortalis Terminexus model wholly within 18" of the caster. |
| Unit Abilities | Ability Details |
|---|---|
| Empowered by Shyish | If your battle is being fought in the Realm of Shyish, the range of this model’s Keeper of Mortality ability – whether the controlling player chose to reverse or hasten time – is 12" instead of 6". |
| Fly | This unit can fly. |
| Keeper of Mortality | After this model is set up or has moved, the controlling player must decide whether the Mortalis Terminexus will reverse or hasten time. If they choose to reverse time, heal D3 wounds allocated to each unit within 6" of this model. If they choose to hasten time, each unit within 6" of this model suffers D3 mortal wounds. |
| Predatory | Mortalis Terminexus is a predatory endless spell. It can move 8" and can fly. |
Rules: At the Double, Forward to Victory, Inspiring Presence
Selections: 3. Vile Transference, Mounted on Nightmare, Spirit-possessed Blades
Categories: DEATH, VAMPIRE, HERO, WIZARD, VAMPIRE LORD, SOULBLIGHT, Leader
Command Abilities: Blood Feast, Magic: Vampire Lord, Spell: Arcane Bolt, Mystic Shield, Vile Transference, Unit: Vampire Lord (Mounted on Nightmare), Unit Abilities: Deathly Invocation, Nightmare, The Hunger, Weapon: Nightmare's Hooves and Teeth, Spirit-possessed Blades
| Command Abilities | Command Ability Details |
|---|---|
| Blood Feast | If this model uses this ability, pick a friendly DEATH unit within 15" of it. Models in that unit make one extra attack with each of their melee weapons until your next hero phase. You cannot pick the same unit to benefit from this command ability more than once per hero phase. *Errata Jul'18* |
| Magic | Cast/Unbind | Spells Known |
|---|---|---|
| Vampire Lord | 1/1 | A Vampire Lord is a WIZARD. He can attempt to cast one spell in your hero phase, and attempt to unbind one spell in the enemy hero phase. He knows the Arcane Bolt, Mystic Shield spells. |
| Spell | Casting Value | Description |
|---|---|---|
| Arcane Bolt | 5 | If successfully cast, pick an enemy unit within 18" of the caster that is visible to them. That unit suffers 1 mortal wound. If the casting roll was 10 or more, the unit suffers D3 mortal wounds instead. |
| Mystic Shield | 6 | If successfully cast, pick a friendly unit within 18" of the caster that is visible to them. Re-roll save rolls of 1 for that unit until your next hero phase. |
| Vile Transference | 7 | If successfully cast, pick an enemy unit within 12" of the caster that is visible to them, and a friendly DEATH unit within 6" of that enemy unit. The enemy unit suffers D3 mortal wounds. Then, for each of these wounds that was allocated and not negated, you can heal 1 wound allocated to the friendly unit. |
| Unit | Move | Wounds | Bravery | Save |
|---|---|---|---|---|
| Vampire Lord (Mounted on Nightmare) | 10" | 5 | 10 | 4+ |
| Unit Abilities | Ability Details |
|---|---|
| Deathly Invocation | At the start of your hero phase, pick up to 3 different friendly SUMMONABLE units within 12" of this model. You can heal D3 wounds that have been allocated to each unit you picked (roll separately for each unit). If no wounds are currently allocated to a unit you have picked, you may instead return a number of slain models to it that have a combined Wounds characteristic equal to or less than the roll of a D3 |
| Nightmare | Some Vampire Lords are mounted on a Nightmare steed; these have a Move of 10" rather than 5", and can attack with the Nightmare’s Hooves and Teeth. |
| The Hunger | At the end of any combat phase in which this model slew any enemy models, you can heal 1 wound that has been allocated to this model. |
| Weapon | Type | Range | Attacks | To Hit | To Wound | Rend | Damage |
|---|---|---|---|---|---|---|---|
| Nightmare's Hooves and Teeth | Melee | 1" | 2 | 4+ | 4+ | - | 1 |
| Spirit-possessed Blades | Melee | 1" | 4 | 3+ | 3+ | -1 | D3 |
At the Double: You can use this command ability after you make a run roll for a friendly unit that is within 6" of a friendly HERO, or 12" of a friendly HERO that is a general.
Forward to Victory: You can use this command ability after you make a charge roll for a friendly unit that is within 6" of a friendly HERO, or 12" of a friendly HERO that is a general. If you do so, re-roll the charge roll.
Inspiring Presence: You can use this command ability at the start of the battleshock phase. If you do so, pick a friendly unit that is within 6" of friendly HERO, or 12" of a friendly HERO that is a general. That unit does not have to take battleshock tests in that phase.
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I'm a Computer Science student in my 6th semester.
I have experience in RESTful APIs, Database Design, Software Engineering practices, Scientific Research, and Mathematical Modeling
Wiki development and mathematical modeling for an antifungal mix to exterminate V. dahliae, a fungus endangering local cotton production.
Technologies used: HTML/CSS/JS, MATLab
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Development of a pathfinding system for intelligent insertion and retreival of bicycles in a grid using the A* Algorithm, as well as a RESTful API to connect a Mobile App to a server and DataBase
Technologies used: Python, Flask, React Native, PostgreSQL
Press the button to see the name of one of my favorite musicals!


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Hi, my name is Arshan Rashidi and i don't have much experience in the coding world besides a little bit of python, I have always been into computers though and ended up building my own. So now i'm more interested in getting into the software aspect as well. My hobbies include playing ultimate Frisbee, walking my dog, occasionally hiking with friends, and attempting snowboarding in the winter time. In my free time I like to play video games or watch TV.
My hopes in this class are to get a broad understanding of general coding basics that i can expand off of.
^ me with my dog


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WOLF A film review by Steve Rhodes Copyright 1995 Steve Rhodes
RATING (0 TO ****): ***
WOLF is an excellent movie directed by Mike Nichols. It is not a horror show although there are some pretty gruesome images. It is not a love story although there is some major heat between the two attractive stars, Jack Nicholson and Michelle Pfeiffer. It is not a story about big business although that is the underlying subtext of the entire plot. What is it then? I think it is a character study of two people's relationship somewhat with each other, but more with life.
In the very first scene in the movie, Jack is bitten by a wolf and his troubles and joys begin. His senses, especially smelling and hearing, become superhuman. Early on too, he realizes what a lousy marriage he has and how great Pfeiffer is and could be. He is married to Kate Nelligan, who was so wonderful in EYE OF THE NEEDLE, and his marriage is not working.
At the office Jack is a senior editor for a publishing house which is being taken over by a ruthless billionaire (Christopher Plummer). Jack may or may not lose his job in the process to his own protege, James Spader (whose best role was in SEX, LIES, AND VIDEOTAPE).
The acting of a young slimeball by Spader is right on the mark. Plummer plays his usual bad guy, nothing special. Nelligan has a not very well written role as the wife but does a plausible job. The star of the show for me was Pfeiffer. She seems to get younger and more beautiful in every movie she is in.
Jack plays the wolf role to the hilt, BUT regardless of how smart it was to cast him in the title role, thus adding tens of millions of dollars to the box office take, I had trouble seeing a fat older man as a wolf. Maybe if they made him up to look a bit younger and he had lost 20 pounds, I could have believed it was him leaping so high and far. Don't get me wrong, I liked him in it, and he did his best, still I think the role was badly miscast.
WOLF runs 2:03. It gets an R rating for blood and gore. Teenagers will should be able to see it and will probably like it. I rate it *** (almost gave it more), and I recommend it.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEWED WRITTEN ON: June 21, 1994
Opinions expressed are mine and not meant to reflect my employer's.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


SimulationWorld module¶
-
class
SimulationWorld.
SimulationWorld
¶ The main class which represents the simulation enviroment.
-
__init__
()¶
-
arrange
(mode='smallest_square', **kwargs)¶ Arranges the robots into a starting configuration. Should be called just before the first time_step()
Parameters: - mode (str) –
Determines how the robots are arranged
”smallest_square” will organise the robots in the smallest possible square centered on box_position
You can also specify the size of the area robots are distrobuted in using the “uniform_box” mode and box_size
Robots are separated by at least robot_spacing. rand_amount can be used to make the robot arrangement less regular by adding a random offset to each robot’s position.
- **kwargs – box_position - centre of the box the robots are to be arranged in robot_spacing - distance between the edges of the robots rather than their centres. For each mode this is the minimum gauranteed distance not accounting for rand_amount rand_amount - magnitude of the random offset added to each robot. Should be less than robot_spacing to avoid colisions box_size - Only required for “uniform_box” mode, determines the size of the area to arrange robots in
- NOTE – This method assumes all robots are the same size based on the first robot in robot list Robots have uniformally distributed rotations for both modes
- mode (str) –
-
assign_robot_to_bin
(robot)¶ Assigns a robot to the colision grid. Each robot’s position in the colision grid is stored in the robot’s bin_index parameter
Returns: The robot’s position the collision grid Return type: tuple(int,int)
-
check_barriers
(robot_radius, robot_position)¶ Checks if a robot is in collision with the world’s outer barriers
Parameters: - robot_size (float) – Radius of robot
- robot_position (np.array) – x,y position of robot
Returns: True if robot is in collision with outer barriers
Return type: bool
-
check_robot_collision
(robot1_pos, robot2_pos, robot1_radius, robot2_radius)¶ Checks if robots 1 and 2 are in collision
Parameters: - robot1_pos (np.array) – x,y position of robot 1
- robot2_pos (np.array) – x,y position of robot 2
- robot1_radius (float) – Radius of robot 1
- robot2_radius (float) – Radius of robot 2
Returns: True if robots are in collision with each other, otherwise False
Return type: bool
-
get_data_log_at_time
(time)¶ Returns the data_log entry coresponding to the simulation time specified by time
NOTE time is rounded down to the nearest time when data was logged. So the data log entry will never occur after the specified time :param time: Simulation time in seconds to get the data index for :type time: float
Returns: data_log entry at “time” Return type: np.array
-
get_data_log_by_index
(index_start, index_end)¶ Accesses the data log between index_start and index_end (non inclusive). Indexes are clipped so they remain in the simulation period. This means that accessing the data log using this function at indexes beyond the end of the simulation will result in accessing the data log at the last data_log entry.
See get_data_log_index_at_time to convert between simulation time and data log indexes
Parameters: - index_start (index of the data log to begin access at) –
- index_end (index of the data log to end access at (not included)) –
Returns: datalog between these indexes (None if indexes are invalid or equal)
Return type: np.array
-
get_data_log_index_at_time
(time)¶ Returns the index of the data_log closest to “time”
Note
time is rounded down to the nearest time when data was logged. So the data log entry will never occur after the specified time
Parameters: time (float) – Simulation time in seconds to get the data index for Returns: data_log index Return type: int
-
get_robots_collision_list
(robot)¶ Compiles a list of robots the robot could be in collision with
Parameters: robot (SimulationRobot) – Robot to compile a colision list for Returns: List of robot indexes the robot could be in colision with Return type: list
-
init_data_log
(steps_num)¶ Initialises data log to length determined by steps_num
Data log is initialised to zero so if not all simulation steps are executed then data log after t_step will not be valid
Data log takes is of the shape (num_robots, data_log_length,4)
For a given robot at a given data index eg. data_log[0,0,:] = [robot x, robot y, robot rotation, robot state]
Data is logged every data_log_period in simulation time. If this is smaller than simulation timesteps (dt) then data_log_period will equal dt and will be logged every timestep. You may wish to make data_log_period greater than dt for large numbers of simulation steps or if you are only interested in the final state of the simulaiton
data_log_period will be rounded down to the neariest multiple of dt and should be set before this function is called
Parameters: steps_num (int) – Number of steps the simulation is going to run for
-
init_physics
(maximum_neighbour_size=1.0)¶ Initialises the collision grid. Should be called after setting bin_size and barriers
-
load
(file_path)¶ Loads the world from a pickle file at the filepath
Parameters: file_path (str) – The file path to where the world will be loaded from. Should include the file extension Returns: The loaded SimulationWorld Return type: SimulationWorld
-
populate
(num_robots, r_template)¶ Adds robots into the world, each robot is a deepcopy of r_template
Parameters: - num_robots (int) – Number of robots to add to the world
- r_template (SimulationRobot) – The robot the world will be populated with
-
save
(file_path)¶ Saves the world to a pickle file at the filepath
Parameters: file_path (str) – The file path to where the world should be saved. Should include the file extension
-
solve_collison
(robot1, collision_list, last_free_dt, last_collision_dt, depth=0)¶ Determines the latest time between time steps a robot wasn’t in collision
Parameters: - robot1 (SimulationRobot) – The robot we’re solving collisions for
- collision_list (list) – The list of robots this robot could be in collision with
- last_free_dt (float) – The latest time we know the robot isn’t in colision (starts at 0 ie. end of the previous timestep)
- last_collision_dt (float) – The earliest time we know the robot is in collision (starts at dt ie. end of the current time step)
- depth (float) – The number of times we have called this function for a given robot, will terminate the binary search after max_col_resolve_depth iterations
Returns: The latest time the robot wasn’t in collision relative to the start of the timestep
Return type: float
-
time_step
()¶ Executes on time step of the simulation
-
-
class
SimulationWorld.
WorldAnimation
(world, **kwargs)¶ Class for producing animations of simulations
Press t while animation is running to pause it, press again to resume playback
Press r and y to skip one timestep backwards when paused
Animations can also be exported to .mp4 with by passing a “save_path” to start_animation but this will required that the codecs are installed on the machine
-
__init__
(world, **kwargs)¶ Initialises the WorldAnimation class
Note
This class will create its own figure
Parameters: - world (SimulationWorld) – The world you want to animate
- **kwargs –
- robot_trail_length : str
- Controls the length of the trail behind each robot in terms of timesteps (default 0)
- robot_trail_width : float
- Controls the width of robot trails (default = 0.1)
- robot_state_cmap : dict
- Maps between robot state (intergers) to valid matplotlib colour codes. dict should be in the form {robot_state : colour}
- ”robot_labels” : bool
- If true will label each robot with its robot_index (Default = False)
- fast_plot : bool
- If true will disable robot trails, robot labels and simpify the shape used to represent each robot
- view_collision_bins : bool
- If true will plot the collision bins as dotted lines on the world (Default = False)
- viewing_bounds : tuple
- Sets the viewing window of the plot in world co-ordinates in the form (min_x,max_x,min_y,max_y) defaults to 10% larger than the world’s barriers
-
animation_callback
(frame_time)¶ Callback for FuncAnimation
Parameters: frame_time (float) – UNUSED - Required argument form func animation, WorldAnimation uses an internal counter to allow for pausing and skipping functionality.
-
increase_internal_time
(increase)¶ Increases the internal time counter and performs wrapping between start and end times of the animation
Parameters: increase (float) – Amount to increase the counter by (can be negative)
-
key_press_handler
(event)¶ Key Handler call back for the figure
Parameters: event (KeyEvent) – Event passed from the figure
-
plot_snapshot
(time)¶ Plots a snapshot of the world at a particular timestep. Equivalent to calling WorldAnimation.update_plot(time_step)
Parameters: time (float) – Simulation time step to plot the world at
-
start_animation
(start_time=None, final_time=None, time_between_frames=None, speed=1.0, save_path=None)¶ Starts the animation by calling FuncAnimation which then repeatidly calls animation_callback to animate the plot
Parameters: - start_time (float) – Start time of the simulation, will default to zero (start if simulation)
- final_time (float) – End time of the simulation, will default to the end of the simulation
- time_between_frames (float) – The time between each frame rendered (in terms of simulation time) if None will default to the world’s data log period. For best results this should be a multiple of world’s data log period
- speed (float) – Playback speed of the animation, ie. the period between rendered frames 1.0 will playback at real time, while 2.0 will playback at double speed. NOTE - The figure animation may run slower than this due to the large number of plotting elements to update. But when saving to mp4 the animation will playback correctly Might be best to reduce the time_between_frames at highers playback speeds
- save_path (str) – Saves the animation in .mp4 formate to a save path
-
update_plot
(time)¶ Updates the plot elements to reflect the world at time_step
Parameters: time (float) – Simulation time to plot the world at
-
update_robot_patch
(robot_pose, body_patch, direction_patch)¶ Updates the plotting elements representing the robot
Parameters: - robot_pose (np,array) – Robot’s pose in the form (x,y,rotation)
- body_patch (matplotlib.patches.Circle or matplotlib.patches.CirclePolygon depending on fast_plot) – Plotting element representing robot’s body
- direction_patch (matplotlib.patches.Wedge or None depending on fast_plot) – Plotting element representing robot’s direction
-


BobHTTP 1.0 successfully running!
This is a simple, light-weight HTTP server coded by Robert Alianello in C++


Week 8 Cultural: Asking the right questions
September 14, 2014
If Phase 0 of Dev Bootcamp has taught me anything, it's how much I DON'T know about web development. That's why asking questions is so important, both during DBC and in our future careers. As much as we'll learn in these next 9 weeks, there will be infinitely more that we still need to learn, and asking smart questions of our colleagues will be crucial to our success. But what makes a good question that a more experienced programmer won't mind answering?
During the course of Googling answers to my coding questions in the past few weeks, I've come across numerous Stack Overflow question and answers. If you're not familiar, Stack Overflow is a community of programmers where users can ask and answer one another's questions. I was at first struck by how MEAN some of the responses were to seemingly reasonable questions! People would reply angrily if they felt that particular question had already been answered, or if the person didn't do a reasonable amount of research before posting, or if the question was unclear.
This was really intimidating to me at first, and I wondered why these people got so offended by harmless (yet perhaps not well thought-out) questions. After reading through Stack Overflow's help article on how to ask good questions, I understand. They suggest the following tips for asking great questions:
- Do your reasearch on the topic before posting.
- Make sure the title of your post gives enough information.
- Write a summary of the question, including the relevant context.
- BE SPECIFIC about the problem you are having - don't just ask for general thoughts or opinions on a broad topic.
- Include code snippits to help others reproduce the issue.
Personally, I think I have gotten a lot better at asking questions, simply because I was on the receiving end of hundreds of questions each week as the client services director at a software company. I constantly fielded vague, impossible to understand questions from customers. It was easy to get frustrated when customers did not provide enough detail, did not search through our extensive resources for the answer first, or left out important context details that I needed to help them. Because of my experience as a question-answerer, I understand how important it is to ask specific, clear, brief questions.
When I asked questions on the Google Group during Phase 0, I tried to make sure they were specific, targeted, to the point, and included examples. I struggled with one jQuery challenge, in which I wasn't fully understanding how to select the HTML elements I needed. Instead of just writing that, I wrote "I'm having a hard time with the jQuery challenge, specifically Release 2, where we have to use the html() method to set the second h1 text. Does anyone know if there is a way to use jQuery to select just that particular h1 without giving it a unique class or id first? Like, selecting an element within a parent element that has a particular class? Thanks!" I referenced a specific part of a specific challenge, and gave an idea of how I understood the functionality to work. The answers I got from peers indicated that the question was clear and well-understood.
As with all skills, asking good questions is something I know I will get better at as I have more practice. And considering how much I still have to learn, I'm sure I'll be getting a lot of practice!


Class: Kernel
| Defined in: | lib\src\Konsserto\Component\HttpKernel\Kernel.coffee |
Overview
Kernel manage boot process and server's requests
Variables Summary
- VERSION =
-
'0.0.46'
Version release number
- VERSION_ID =
-
1
Version unique ID
Instance Method Summary
- # (String) getEnvironment()
- # (String) getDebug()
- # (void) boot() Start boot sequence, initialize the service container and bundles
- # (Integer) shutdown(exitCode = -1) Shutdown sequence, close the service container and bundles
- # (Boolean) isBooted()
- # (void) initContainer() Instantiate the service container
- # (void) checkMode() Check application/console tag mode and nullify the console log output
- # (void) handle(route) Try to handle an express route
- # (void) handleRaw(route) Handle an express route and call the controller
- # (void) finishRequest(req) Pop the request stack for sub-requests
- # (void) start(port) Start konsserto on a specific port with error handler
Constructor Details
#
(void)
constructor(environment = 'dev', debug = true, mode = 'app')
Class constructor
Instance Method Details
#
(String)
getEnvironment()
#
(String)
getDebug()
#
(void)
boot()
Start boot sequence, initialize the service container and bundles
#
(Integer)
shutdown(exitCode = -1)
Shutdown sequence, close the service container and bundles
#
(Boolean)
isBooted()
#
(void)
initContainer()
Instantiate the service container
#
(void)
checkMode()
Check application/console tag mode and nullify the console log output
#
(void)
handle(route)
Try to handle an express route
#
(void)
handleRaw(route)
Handle an express route and call the controller
#
(void)
finishRequest(req)
Pop the request stack for sub-requests
#
(void)
start(port)
Start konsserto on a specific port with error handler


Currently I’m a scholar majoring in math. Sometimes reading about world affairs and so on. Born in living in Germany since my birth in 1993. Start your calculators if you want to know my age.
More Information
Why English though? There are mainly two reasons to write this blog in English instead of my native language German. First being to improve language skills. I am pretty confident in them, that’s why I can at least try to write all this in English, but I don’t write longer texts as often, especially not about politics. I use English a lot, basically half the time I spend online is in English, if not more. But that’s just that. If I don’t try to use more words, my vocabulary will never change. A child will not learn new words if it only talks with other children who also only talk with these children. so this is a good practice for that.
The other reason is globalisation. If I’d write something in German, only a few more than 100 million would be able to read it. Nothing I can show friends anywhere else who have the same issues. And since globalisation heavily leads to a wide wen of interactions between many different actors from many different countries, I sincerely believe, that you have to address people around the world to actively influence something. Say for example we here in Germany suddenly have a whole new government for example. Then this government tries to do something large, that the EU doesn’t allow. Well tough luck, cause then it’s basically powerless as long as it wants to stay in the EU. Similarily, I or we as Germans have no political power over the US, a huge active player in world politics we’re allied with. No matter how many bombs they throw or how they negotiate with Russia (or not), we’re powerless since we can’t vote. The only weapon we have are words, just the classic way. So it’s time to use them.
And yeah, this blog’s really gonna be naive, so take it with a big grain of doubt. Take a handful. Always take a handful when reading something on the internet, that’s the most vital skill of our time.


| WinAPI Wrapper |
The MDIFrameWindow class is a Window-derived class and is meant for MDI frame windows. The only difference between it and Window is that it has a few additional MDIXXX functions and that you must call CreateClient during processing OnCreate in order to create the MDI client window.
The MDIFrameWindow class has the following functions:
| Function | Related WinAPI phenomena | Description |
|---|---|---|
| CreateClient | - | Creates the MDI client window. This function must be called when processing the WM_CREATE message. |
| GetClientWindow | - | Returns the MDI client window. |
| MDIActivate | WM_MDIACTIVATE | Activates the specified MDI child window. |
| MDICascade | WM_MDICASCADE | Cascades all MDI child windows. |
| MDICreate | WM_MDICREATE | Creates an MDI child window. |
| MDIDestroy | WM_MDIDESTROY | Destroys an MDI child window. |
| MDIGetActive | WM_MDIGETACTIVE | Retruns the active MDI child window. |
| MDIIconArrange | WM_MDIICONARRANGE | Arranges all minimized MDI child windows. |
| MDIMaximize | WM_MDIMAXIMIZE | Maximizes an MDI child window. |
| MDINext | WM_MDINEXT | Activates the next MDI child window. |
| MDIPrevious | WM_MDINEXT | Activates the previous MDI child window. |
| MDIRefreshMenu | WM_MDIREFRESHMENU | Applies changes to the MDI window menu. |
| MDIRestore | WM_MDIRESTORE | Restores a minimized or maximized MDI child window. |
| MDISetMenu | WM_MDISETMENU | Sets new MDI window menu. |
| MDITile | WM_MDITILE | Tiles all MDI child windows. |
WinAPI Wrapper, WinAPI Wrapper classes, Window, Multiple Document Interface Overview, Multiple Document Interface Messages


Anne Diamond: Vaping is a dangerous trend creating a new generation of nicotine addicts
We need to demand more evidence and real facts concerning the effects of e-cigarettes on our health as news of ill health caused by vaping becomes increasingly common
by Anne Diamond, https://www.mirror.co.uk/authors/anne-diamond/More vaping stories have sparked up fears this week. And I worry we’ve been sleepwalking into another cynically manufactured and dangerous social trend.
We’re now hearing it could damage the brain, heart and blood vessels, and cardiologists are calling for a ban.
Researchers say vaping is creating a new generation of nicotine addicts who don’t really think they are inhaling nicotine, and who’ve been told it’s OK.
If scientists found a safe type of alcohol that gave you no hangover, we’d rush at it, right?
Smoking at first was sold as glamorous – all the Hollywood legends did it. Bette Davis smoked 100 a day until she died – she even smoked while I interviewed her live on air.
In the 60s, the first headlines linking ciggies to cancer started appearing and I was terrified because both my mum and dad smoked. Once the science became clear, Dad gave up his 50 a day overnight but Mum didn’t find it so easy. She’d hide packets of ten around the house.
Fast-forward 50 years and e-cigs are taking hold, with vaping boutiques filling gaps on high streets and parents having cheeky drags at the school gates.
Yes, clearly, vaping has helped many people quit. So it might have saved countless people from the horrors of cancer. You can’t argue with that.
But there’s a whole load of youngsters who have taken it up simply because it was seen as cool, with fruity flavours as appealing as a sugary alcopop. The industry has created a new market. Keep smokers addicted and recruit more.
Public Health England claims e-cigs are “95 per cent safer than traditional tobacco”. But other, well-respected researchers worldwide are blowing the warning whistle.
So we need to be demanding more evidence and real facts.
Better still, don’t trust them alone, make up your own mind. I have two grown-up kids who smoke and I try my very, very best to dissuade them.
Of course, when you’re in your 20s, you don’t think you’re destroying your health. You don’t think long term.
But to have health officials telling you it’s OK to vape? Does that sound responsible to you?
History tells us we may be being duped – and to whose profit?


As explained in the previous section, Format information pattern is module pattern that tell about current specification that being used by QR code, that is Error correction level and Mask Pattern.
You can set Format information pattern by clicking the blue colored modules and you will be prompted with the dialog as shown below.
There are two ways to set Format info pattern. First, simply clicking on module one by one like using Painter. Second, you can select options that located under the modules to set values of Error correction level and Mask pattern and Format info pattern will automatically drawn by itself. These two ways will synchronize with each other automatically.
Keep in mind, that Format info pattern only accept black and white color. Thus, grey color (damaged parts) cannot be drawn in here. Just leave it with white color if the actual module is missing or unknown.
But, if the whole format info pattern is missing, you can use extension tools called Brute-force Format Info Pattern to automatically find the right pattern.
Format info pattern is shared in three location of QR code (top left, bottom left, and top right) and always located close to finder pattern. By setting only in one location, will automatically set the other two location.


| DOSE: |
1 tablet |
oral |
MDMA |
(pill / tablet) |
In my town everybody did X. It was just the thing to do. I had never done it i was always to scared. then one day my friend was like 'ill give it to you and if you like it come back to me.'  So i got 2 of them one for me and one for my boyfriend.
 So i was watching tv and it just hit me... really hard! i had never felt anything like that before so i didnt know how to act. i saw devils on the walls and it looked like snakes were slithering under the carpet. i freaked out. my boyfriend was wiggin out of his mind and at the same time trying to calm me down. so i sat on the couch and i was like blacking out and then coming back kinda like my eyes were blinking really really slow but i wasnt blinking. and then all of a sudden my stomach started cramping up really bad and i just started throwing up everywhere!
And we thought that maybe since i threw up it would wear off or something. i just got worse i started crying and telling my boyfriend that when i died i was going to miss him and all kinds of crazy stuff like that. cause i had it in my mind that it was going to kill me. i was trying to call my mom and tell her bye and thats when he took me to the ER. I dont remember much after that.. but they told me that if i hadnt gone in i would have died. Thats why i dont touch the stuff no more.... all my friends do and im always there to take care of them.
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.


{% assign speaker = site.data.speakers | where: 'id', include.speaker_id | first %} {% assign speaker_url = '/speakers/' | append: speaker.id %} {% assign speaker_image = '/assets/speakers/' | append: speaker.image %}


Black Marketeer of Mammon:
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Friends rally round family of tragic Denai who would "light up every room"
Denai McDougall, 19, was popular in Balloch and Clydebank
by Jenny Foulds, https://www.dailyrecord.co.uk/authors/jenny-foulds/Tributes have been paid to a young mum who would “light up every room she went into” after she died suddenly.
Denai McDougall, 19, passed away on Friday, October 25 leaving behind her two-year-old son Kalvin.
The former Balloch woman’s heartbroken friends have set up a GoFundMe fundraiser to help the mum-of-one’s family pay for her funeral.
They are also planning a fundraising event in January for little Kalvin, with money raised to be paid into his savings account.
One of the fundraising organisers is Taylor McGee, who had been friends with Denai since their primary school days.
She said Denai’s death has rocked those left behind.
“We’re all trying to be strong but there’s definitely been a lot of tears,” she said.
“We feel Denai’s death has brought us all together again as a group and together we all want to do our part to make sure she is remembered in the best way possible.
“It’s come as a shock to us and still hasn’t quite sunk in that we won’t see our best friend again.”
Taylor said her friend was originally from Clydebank but lived in Balloch for a couple of years before moving back to her home town.
She said she was “an amazing mum”, adding: “She would light up every room she went into.
“She was a kind, caring person who was always laughing.
“As soon as her son, Kalvin came into her life he was instantly her priority.
“He meant the world to her and brought her so much happiness.
“Denai was an amazing mum.
“She always put Kalvin first and he absolutely adored her.”
Taylor organised the online fundraiser alongside Andrea Murphy, Shannon Maitland, Megan Hollywood, Paige Wright, Amie McIntosh, Lauren Johnston, Shanna Menzies, and Kathleen Short who’ve all been showing their support.
So far over £1,300 has been raised.
On November 1, crowds gathered to show their support for Denai’s loved ones at Dalmuir Park in Clydebank for a balloon release, fireworks and music.
A Facebook page, Remembering Denai McDougall, has been set up to allow people to pay their respects and keep followers up to date with any future fundraising events.
Denai’s devastated best friends, who’ve rallied together in the wake of her death, have paid tribute to their “angel”.
Andrea Murphy told our sister paper the Daily Record: “ If I could see this smile one last time, I’d never ask for anything again.”
“I’ll miss the smile she brought on all our faces,” pal Shanna Menzies added.
Megan Hollywood said: “There are no more tears left for me to cry, I would do anything to give you one last hug.”
“We will all do our best to make your gorgeous boy’s life happy and full of love,” Paige Wright added.
“My heart has broken into a million pieces, we will meet again my angel,” Lauren Johnston said.
Shannon Maitland added: “I will always remember you as the happy bubbly one who put everyone’s feeling before your own.”
“Your beautiful boy will always know how much he is loved and how amazing you are,” Kathleen Short said.
And Emmie Gallacher added: “Sometimes you will never know the value of a moment until it becomes a memory.”


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Site Map Report
FOR:
http://www.extropic-art.com/
DATE: 07:09 PM December 30, 1999
This report shows the link structure and organization of your site. Linkbot creates this map by following links from the front page of your site down. To make a more sophisticated sitemap or index, try using
Wisebot
.
Extropic Art Transhumanist Art Universe
http://www.extropic-art.com/contents.htm
Extropic Art Contents
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TRANSHUMAN BOOK MARKET
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Transhuman Web Sites
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The Aesthetics of Memetic Evolution Extropic Art, Transhumanist Art
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The Aesthetics of Memetic Evolution - Ice
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{% extends "tickets/base.html" %} {% block content %} This site was created and maintained by Spenser Porter<EMAIL_ADDRESS>{% endblock content %}


Here is what we are going to do:
- Check for new faxes using a new api call: Fax_GetProductsWithInboundFaxes
- Get a collection of inbound faxes for us to process.
Here is what you need:
-
We will assume you are using a relatively modern development framework. PHP, React, .Net, etc…
-
We recommend you use a tool like Postman (Free and
available on all platforms) to test your API’s and generate the code or you can run in a sandbox at
SwaggerHub.
-
Developer API Account Easy to sign up and get started
immediately.
-
If you haven’t implemented the API before you may want to check out our quickstart how-to articles
here
and here.
What is this useful for:
This is useful if you have multiple inbound fax lines and you need to check them for new inbound faxes.
Just calling this one procedure will alert you to new inbound faxes and you can then go and retrieve the
metadata about the new faxes. If nothing is new you don’t have to make a call for each productID which
saves server time and resources.
Phase 1: Let’s check our Fax number for new faxes.
In this case I have sent myself a test fax before I run this proc.
I am going to fire up SwaggerHub and use the Tryout function to call the procedure and get data back.
The procedure is called Fax_GetProductsWithInboundFaxes. You can see it’s spec here.
-
We’ll be asked to enter the Username and Password for our WestFax API Call. Notice we are not
specifying a prodid as this procedure works across all fax lines and will return a collection of fax
lines if the filter field matches.
-
Let’s talk about the filter field. If you leave it blank it will assume Unread flag. You can set it
to None, Recieved & Removed. None or will show you Fax numbers that have unread faxes.
Recieved will show you fax lines that have read faxes and removed will show you faxes that have
deleted faxes. These are unlikely use-cases but here nevertheless.
-
So here is the call
-
When I execute it I get back:
-
You can see that it returns a ID record as well as the InboundNumber so you can now go call the
Fax_GetFaxDescriptions or Fax_GetInboundFaxDescriptions. Set your FaxDirection as Inbound and you
can now update your app with the new incoming faxes.
Success! As you can see it’s not hard at all to add Faxing to your Enterprise application.
If you have questions or need more help please reach out to us at<PHONE_NUMBER> or contact us via email.


LIST-UNRELEASED(1) LIST-UNRELEASED(1) NAME list-unreleased - display UNRELEASED packages SYNOPSIS list-unreleased [arg ...] [path ...] DESCRIPTION Searches for packages whose changelogs indicate there are pending changes (UNRELEASED) and either lists them or displays the relevant changelog entry. By default it searches for packages under the current directory. If a path is specified it will look for packages under that directory instead. OPTIONS -c Display pending changes. -R Don't recurse into subdirectories looking for packages. SEE ALSO debchange(1) AUTHOR list-unreleased was written by Frans Pop<EMAIL_ADDRESS>This man‐ ual page was written by Joey Hess<EMAIL_ADDRESS>DEBIAN Debian Utilities LIST-UNRELEASED(1)


‘There Will be Government in Place Soon,’ Says Sanjay Raut After Meeting Pawar
Shiv Sena leader Sanjay Raut blamed the BJP for running away after breaking the pre-poll promise and expressed confidence that there will be a government in place soon.
New Delhi: Shiv Sena leader Sanjay Raut on Monday met NCP chief Sharad Pawar hours after the latter met Congress interim president Sonia Gandhi in the national capital to discuss the current political situation in Maharashtra.
Soon after meeting Pawar, the Shiv Sena leader blamed the BJP for running away after breaking the pre-poll promise and expressed confidence that soon there will be a government in place.
“The responsibility to form the government was not ours, the ones who had that responsibility ran away, but I am confident that soon we will have a government in place,” Raut said after meeting NCP’s Sharad Pawar on Monday.
The development comes after NCP chief Sharad Pawar flew to the national capital to meet Congress president Sonia Gandhi to discuss the current political situation of the state which is under the President’s rule for past one week.
Other reports from IANS suggested that NCP leaders Ajit Pawar and Jayant Patil are likely to lead the talks with Congress, and are set to fly down to Delhi for the talks again.
The decision to form a committee was arrived at during a meeting between interim Congress President Sonia Gandhi and NCP chief Sharad Pawar on Monday.
Both the Congress and NCP will arrive at a Common Minimum Programme (CMP) before presenting it to Sonia Gandhi and Pawar.
The Congress has already formed a committee comprising Ahmed Patel, Mallikarjun Kharge and KC. Venugopal.
Reports further stated that after the Congress and the NCP arrive at a common programme, they will take the matter to Shiv Sena.
On November 16, Shiv Sena leader Sanjay Raut said that the party wants its chief Uddhav Thackeray to lead in forming the government in Maharashtra.
“Undoubtedly, the government that we are going to form in Maharashtra will be under the leadership of a Chief Minister from Shiv Sena. We want Uddhav Thackeray to lead the government in the state,” Raut was quoted as saying by ANI.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on India Latest News on India.com.
Story Timeline
- 16 Nov 2019 Maharashtra: 'Wounds From Past', Sanjay Raut Launches Veiled Attack on BJP Ahead of Sena-NCP-Congress Meet Wit...
- 14 Nov 2019 'If Amit Shah Informed PM Modi About...': Sanjay Raut Takes Fresh Swipe at BJP Over Maharashtra Impasse
- 14 Nov 2019 Our Talks With Congress-NCP in Process, Not Reached Settlement Yet: Sanjay Raut
Comments - Join the Discussion


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Contract Input Decoder
Use at your own risk. PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED ...
Decoded Input:
Paste in an ABI and unsigned HEX data (such as from MetaMask's 'Data' tab after initiating a smart contract interaction).
Then press 'Decode'.
MIT licenced, powered by ethers.js (but not affiliated with ethers.js).


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Variational autoencoders
Latent variable models form a rich class of probabilistic models that can infer hidden structure in the underlying data. In this post, we will study variational autoencoders, which are a powerful class of deep generative models with latent variables.
Representation
Consider a directed, latent variable model as shown below.
In the model above, and denote the latent and observed variables respectively. The joint distribution expressed by this model is given as
From a generative modeling perspective, this model describes a generative process for the observed data using the following procedure
If one adopts the belief that the latent variables somehow encode semantically meaningful information about , it is natural to view this generative process as first generating the “high-level” semantic information about first before fully generating . Such a perspective motivates generative models with rich latent variable structures such as hierarchical generative models —where information about is generated hierarchically—and temporal models such as the Hidden Markov Model—where temporally-related high-level information is generated first before constructing .
We now consider a family of distributions where describes a probability distribution over . Next, consider a family of conditional distributions where describes a conditional probability distribution over given . Then our hypothesis class of generative models is the set of all possible combinations
Given a dataset , we are interested in the following learning and inference tasks
- Selecting that “best” fits .
- Given a sample and a model , what is the posterior distribution over the latent variables ?
Learning Directed Latent Variable Models
One way to measure how closely fits the observed dataset is to measure the Kullback-Leibler (KL) divergence between the data distribution (which we denote as ) and the model’s marginal distribution . The distribution that ``best’’ fits the data is thus obtained by minimizing the KL divergence.
As we have seen previously, optimizing an empirical estimate of the KL divergence is equivalent to maximizing the marginal log-likelihood over
However, it turns out this problem is generally intractable for high-dimensional as it involves an integration (or sums in the case is discrete) over all the possible latent sources of variation . One option is to estimate the objective via Monte Carlo. For any given datapoint , we can obtain the following estimate for its marginal log-likelihood
In practice, however, optimizing the above estimate suffers from high variance in gradient estimates.
Rather than maximizing the log-likelihood directly, an alternate is to instead construct a lower bound that is more amenable to optimization. To do so, we note that evaluating the marginal likelihood is at least as difficult as as evaluating the posterior for any latent vector since by definition .
Next, we introduce a variational family of distributions that approximate the true, but intractable posterior . Henceforth, we will assume a parameteric setting where any distribution in the model family is specified via a set of parameters and distributions in the variational family are specified via a set of parameters .
Given and , we note that the following relationships hold true1 for any and all variational distributions
where we have used Jensen’s inequality in the final step. The Evidence Lower Bound or ELBO in short admits a tractable unbiased Monte Carlo estimator
so long as it is easy to sample from and evaluate densities for .
Which variational distribution should we pick? Even though the above derivation holds for any choice of variational parameters , the tightness of the lower bound depends on the specific choice of .
In particular, the gap between the original objective(marginal log-likelihood ) and the ELBO equals the KL divergence between the approximate posterior and the true posterior . The gap is zero when the variational distribution exactly matches .
In summary, we can learn a latent variable model by maximizing the ELBO with respect to both the model parameters and the variational parameters for any given datapoint
Black-Box Variational Inference
In this post, we shall focus on first-order stochastic gradient methods for optimizing the ELBO. These optimization techniques are desirable in that they allow us to sub-sample the dataset during optimization—but require our objective function to be differentiable with respect to the optimization variables. This inspires Black-Box Variational Inference (BBVI), a general-purpose Expectation-Maximization-like algorithm for variational learning of latent variable models, where, for each mini-batch , the following two steps are performed.
Step 1
We first do per-sample optimization of by iteratively applying the update
where , and denotes an unbiased estimate of the ELBO gradient. This step seeks to approximate the log-likelihood .
Step 2
We then perform a single update step based on the mini-batch
which corresponds to the step that hopefully moves closer to .
Gradient Estimation
The gradients and can be estimated via Monte Carlo sampling. While it is straightforward to construct an unbiased estimate of by simply pushing through the expectation operator, the same cannot be said for . Instead, we see that
This equality follows from the log-derivative trick (also commonly referred to as the REINFORCE trick). The full derivation involves some simple algebraic manipulations and is left as an exercise for the reader. The gradient estimator is thus
However, it is often noted that this estimator suffers from high variance. One of the key contributions of the variational autoencoder paper is the reparameterization trick, which introduces a fixed, auxiliary distribution and a differentiable function such that the procedure
is equivalent to sampling from . By the Law of the Unconscious Statistician, we can see that
In contrast to the REINFORCE trick, the reparameterization trick is often noted empirically to have lower variance and thus results in more stable training.
Parameterizing Distributions via Deep Neural Networks
So far, we have described and in the abstract. To instantiate these objects, we consider choices of parametric distributions for , , and . A popular choice for is the unit Gaussian
in which case is simply the empty set since the prior is a fixed distribution. Another alternative often used in practice is a mixture of Gaussians with trainable mean and covariance parameters.
The conditional distribution is where we introduce a deep neural network. We note that a conditional distribution can be constructed by defining a distribution family (parameterized by ) in the target space (i.e. defines an unconditional distribution over ) and a mapping function . In other words, defines the conditional distribution
The function is also referred to as the decoding distribution since it maps a latent code to the parameters of a distribution over observed variables . In practice, it is typical to specify as a deep neural network.
In the case where is a Gaussian distribution, we can thus represent it as
where and are neural networks that specify the mean and covariance matrix for the Gaussian distribution over when conditioned on .
Finally, the variational family for the proposal distribution needs to be chosen judiciously so that the reparameterization trick is possible. Many continuous distributions in the location-scale family can be reparameterized. In practice, a popular choice is again the Gaussian distribution, where
where is the Cholesky decomposition of . For simplicity, practitioners often restrict to be a diagonal matrix (which restricts the distribution family to that of factorized Gaussians).
Amortized Variational Inference
A noticeable limitation of black-box variational inference is that Step 1 executes an optimization subroutine that is computationally expensive. Recall that the goal of the Step 1 is to find
For a given choice of , there is a well-defined mapping from . A key realization is that this mapping can be learned. In particular, one can train an encoding function (parameterized by ) (where is the space of parameters) on the following objective
It is worth noting at this point that can be interpreted as defining the conditional distribution . With a slight abuse of notation, we define
and rewrite the optimization problem as
It is also worth noting that optimizing over the entire dataset as a subroutine every time we sample a new mini-batch is clearly not reasonable. However, if we believe that is capable of quickly adapting to a close-enough approximation of given the current choice of , then we can interleave the optimization and . This yields the following procedure, where for each mini-batch , we perform the following two updates jointly
rather than running BBVI’s Step 1 as a subroutine. By leveraging the learnability of , this optimization procedure amortizes the cost of variational inference. If one further chooses to define as a neural network, the result is the variational autoencoder.
Footnotes
-
The first equality only holds if the support of includes that of . If not, it is an inequality. ↩


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title: Please like our Facebook page for a FREE health check link: http://www.flamelily.co.uk/2012/07/please-like-our-facebook-page-for-a-free-health-check/ author: admin description: post_id: 331 created: 2012/07/20 10:27:51 created_gmt: 2012/07/20 09:27:51 comment_status: closed post_name: please-like-our-facebook-page-for-a-free-health-check status: publish post_type: post
We are running a promotion so if you like our Facebook page we are offering a FREE PC health check. To have this done you must be prepared to drop off and pick up your laptop or PC at our offices in Tewkesbury. This health check will include things like cleaning out dust, updating antivirus, updating operating system, cleaning temporary files and running basic memory and hard disk tests. Give us a call at the Tewkesbury office on 01684 878508 to book once you have liked the page.


| FutureGlobals {future} | R Documentation |
A representation of a set of globals used with futures
FutureGlobals(object = list(), resolved = FALSE, total_size = NA_real_, ...)
object |
A named list. |
resolved |
A logical indicating whether these globals have been scanned for and resolved futures or not. |
total_size |
The total size of all globals, if known. |
... |
Not used. |
This class extends the Globals class by adding
attributes resolved
and total_size
.
An object of class FutureGlobals
.


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watch Nardwuar interview Megan Thee Stallion at Day N Vegas
by Andrew SacherNardwuar stopped by Day N Vegas this past weekend, and while there, he did his first interview with one of the year’s most charismatic breakout rappers, Megan Thee Stallion. Like other first-timers, Megan was caught off guard by Nardwuar’s encyclopedic knowledge (“I love that song, how do you know these things?!” she asked, when he brought up Lil Ru‘s “The Nasty Song”), and the whole thing is very entertaining. Nardwuar also brought up Megan’s old principal, her first show ever (at the Dirty Dog Bar in Austin), and more, and he gifted her with a Pimp C t shirt, a Ladies of Gansgter Rap CD, and a Houston Rap Tapes book.
In other news, Megan landed her first fashion campaign, with Coach.
And here’s Megan on stage at Day N Vegas…


All functions
|
|
attr_l()
|
Construct a lens into an attribute |
|
attributes_l
|
Attributes lens |
|
body_l
|
Body lens |
|
c_l()
|
Convenient lens composition |
|
class_l
|
Class lens |
|
colnames_l
|
A lens into the column names of an object |
|
cols_l()
|
Column lens |
|
cond_il()
|
Conditional lens |
|
diag_l
|
Lens into the diagonal of a matrix |
|
dim_l
|
Dims lens |
|
dimnames_l
|
Dimnames lens |
|
drop_while_il()
|
Conditional trim lens |
|
env_l
|
Environment lens |
|
filter_il()
|
Filter lens |
|
filter_l()
|
Filter lens |
|
first_l
|
A lens into the first element |
|
formals_l
|
Formals lens |
|
id_l
|
The identity (trivial lens) |
|
index_l() index()
|
Construct a lens into an index/name |
|
indexes_l() indexes()
|
Construct a lens into a subset of an object |
|
last_l
|
A lens into the last element |
|
`%.%`
|
Compose lenses |
|
lens()
|
Construct a lens |
|
levels_l
|
Levels lens |
|
lower_tri_l()
|
Lens into lower diagonal elements |
|
map_l()
|
Promote a lens to apply to each element of a list |
|
names_l
|
A lens into the names of an object |
|
oscope()
|
Bind data to a lens |
|
over()
|
Map a function over a lens |
|
over_map()
|
Map a function over a list lens |
|
over_with()
|
Map a function over an in scope lens |
|
reshape_l()
|
Lens into a new dimension(s) |
|
rev_l
|
Reverse lens |
|
rownames_l
|
A lens into the row names of an object |
|
rows_l()
|
Row lens |
|
select_l()
|
Tidyselect elements by name |
|
send()
|
Set one lens to the view of another |
|
send_over()
|
Set one lens to the view of another (transformed) |
|
set()
|
Modify data with a lens |
|
slab_l()
|
Slab lens |
|
slice_l()
|
Slice lens |
|
slot_l()
|
Slot lens |
|
t_l
|
Matrix transpose lens |
|
take_l()
|
Construct a lens into a prefix of a vector |
|
take_while_il()
|
Conditional head lens |
|
to_l()
|
Promote a function to a getter lens |
|
transpose_l
|
Lens into a list of rows |
|
unlist_l
|
Unlist lens |
|
upper_tri_l()
|
Lens into upper diagonal elements |
|
view()
|
View data with a lens |


Hi, my name is Blake Birch. I am currently a sophomore at Western Reserve Academy. I am a day student, and live in Bath, Ohio.


HistoryResponse(transactions: List<HistoricalTransfer>)
This class encapsulates batch of history
Author Dmitriy Bushuev


| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
SingleVariableConstraint.clone() |
default SingleVariableConstraint |
SingleVariableConstraint.conjoin(Expression formula,
Context context) |
static SingleVariableConstraint |
SingleVariableConstraint.make(Theory theory,
Expression variable,
Expression formula,
Context context)
Returns a
SingleVariableConstraint on a given variable, according to a given theory,
equivalent to given formula
-- the formula object itself is returned if it happens to be a
SingleVariableConstraint on same variable and theory. |
SingleVariableConstraint |
SingleVariableConstraint.makeSimplificationWithoutExternalLiterals()
Creates a simplification of this constraint
that is equal to it but for the absence of external literals.
|
default SingleVariableConstraint |
Theory.makeSingleVariableConstraint(Expression variable,
Context context)
Make a new single-variable constraint for this theory.
|
SingleVariableConstraint |
Theory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context)
Implements how to make a new single-variable constraint for this theory after bookeeping.
|
static SingleVariableConstraint |
SingleVariableConstraint.makeSingleVariableConstraintFromFormula(Expression variable,
Expression formula,
Context context) |
static SingleVariableConstraint |
SingleVariableConstraint.useFormulaIfItIsASingleVariableConstraintForTheRightTheory(Expression variable,
Expression formula,
Theory theory) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
Theory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context)
Given a single-variable constraint in this theory, returns
a
ExpressionLiteralSplitterStepSolver computing its model count. |
ExpressionLiteralSplitterStepSolver |
Theory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context)
Given a single-variable constraint in this theory, returns
a
ExpressionLiteralSplitterStepSolver deciding its satisfiability. |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractSingleVariableConstraint
An abstract
Expression with efficient internal representation for a conjunction in a given theory. |
class |
AbstractSingleVariableConstraintWithDependentNormalizedAtoms
An implementation of
AbstractSingleVariableConstraint for theories
in which there is interaction between normalized atoms. |
class |
AbstractSingleVariableConstraintWithIndependentNormalizedAtoms
An extension of
AbstractSingleVariableConstraint
for theories in which there is no interaction between distinct normalized atoms. |
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
AbstractSingleVariableConstraint.conjoinWithLiteral(Expression formula,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
CompleteMultiVariableContext.CompleteMultiVariableContextDependentProblemStepSolverMaker.apply(SingleVariableConstraint constraint,
Context context) |
static Context |
MultiVariableContextWithCheckedProperty.makeAndCheck(Theory theory,
SingleVariableConstraint head,
Context tail,
MultiVariableContextWithCheckedProperty.ContextDependentProblemStepSolverMaker contextDependentProblemStepSolverMaker,
Context context)
Creates a new
Context from a SingleVariableConstraint and a Context ,
by either returning a contradiction if either is contradictory,
or a new MultiVariableContextWithCheckedProperty otherwise. |
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
AbstractModelCountingWithPropagatedLiteralsImportedFromSatisfiabilityStepSolver.getConstraint() |
SingleVariableConstraint |
SingleQuantifierEliminationStepSolver.getIndexConstraint() |
SingleVariableConstraint |
AbstractSingleQuantifierEliminationStepSolver.getIndexConstraint() |
| Constructor and Description |
|---|
TheorySolvedSingleQuantifierEliminationProblem(AssociativeCommutativeGroup group,
Expression index,
Expression indexType,
SingleVariableConstraint constraint,
Expression body) |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractSingleVariableConstraintWithBinaryAtoms
An abstract single-variable constraint solver providing
functionality for theories involving only
binary atoms.
|
class |
AbstractSingleVariableConstraintWithBinaryAtomsIncludingEquality
An extension of
AbstractSingleVariableConstraintWithBinaryAtoms
for theories including equality. |
class |
SingleVariableConstraintForTheoryWithoutAtoms
An implementation of
SingleVariableConstraint for
theories that define no atoms. |
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
AbstractTranslationBasedTheory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
AbstractTranslationBasedTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
AbstractTranslationBasedTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
FallbackTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
FallbackTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
CompoundTheory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
CompoundTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
CompoundTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Class and Description |
|---|---|
class |
SingleVariableDifferenceArithmeticConstraint
A difference arithmetic single-variable constraint solver.
|
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
DifferenceArithmeticTheory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
DifferenceArithmeticTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
DifferenceArithmeticTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Class and Description |
|---|---|
class |
SingleVariableEqualityConstraint
An equality constraint solver.
|
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
EqualityTheory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
EqualityTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
EqualityTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
TheoryWrapper.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
TheoryWrapper.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
TheoryWrapper.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Class and Description |
|---|---|
class |
SingleVariableLinearRealArithmeticConstraint
A linear real arithmetic single-variable constraint solver.
|
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
LinearRealArithmeticTheory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
LinearRealArithmeticTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
LinearRealArithmeticTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractSingleVariableNumericConstraint
An abstract numeric single-variable constraint solver.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SingleVariablePropositionalConstraint
A single-variable propositional constraint.
|
| Modifier and Type | Method and Description |
|---|---|
SingleVariableConstraint |
PropositionalTheory.makeSingleVariableConstraintAfterBookkeeping(Expression variable,
Context context) |
| Modifier and Type | Method and Description |
|---|---|
ExpressionLiteralSplitterStepSolver |
PropositionalTheory.getSingleVariableConstraintModelCountingStepSolver(SingleVariableConstraint constraint,
Context context) |
ExpressionLiteralSplitterStepSolver |
PropositionalTheory.getSingleVariableConstraintSatisfiabilityStepSolver(SingleVariableConstraint constraint,
Context context) |


--- layout: post title: BlakeTV Theme Update date: 2014-01-27 01:16:40.000000000 -06:00 categories: - BlakeTV - Projects tags: - blaketv - programming - projects - update status: publish type: post published: true meta: _edit_last: '1' author: login: Blake email<EMAIL_ADDRESS>display_name: Blake first_name: Blake last_name: Harley ---
I made a small visual overhaul to BlakeTV this afternoon. After some (very brief) testing, I have pushed the visual updates to the live site for the world to hate—like they do any visual site updates.


What does map(&:name) mean in Ruby?
map(&:name)
What does it mean?
This is a short hand notation for the regular map function. What map initially does is to transform Arrays and Hashes into new values.
Here is a basic implementation of Map:
['a' , 'b', 'c'].map { |x| x.upcase }
=>
['A', 'B', 'C']
Now let’s see an implementation with shorthand:
[1,2,3].map(&:upcase)
This returns the same result as before, but it for more experienced programmers with knowdlege of PROC and how it works.
The beginning of & calls to_proc
and passes in the block to be evaluated.


Debugger - Disconnected
Product Name:
Manufacturer:
Serial Number:
Target - Unknown
Registers:
Disassembly
Memory
Re-read memory on halt
Read memory when polling (nonfunctional)
Flash
Polling - Idle
Semihosting - off
Enable semihosting
Logging Level - Normal
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