Class SpeechRecognitionResult.Builder (2.0.0)
public static final class SpeechRecognitionResult.Builder extends GeneratedMessageV3.Builder<SpeechRecognitionResult.Builder> implements SpeechRecognitionResultOrBuilder
A speech recognition result corresponding to a portion of the audio.
Protobuf type google.cloud.speech.v1.SpeechRecognitionResult
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
Methods
addAllAlternatives(Iterable<? extends SpeechRecognitionAlternative> values)
public SpeechRecognitionResult.Builder addAllAlternatives(Iterable<? extends SpeechRecognitionAlternative> values)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
| Name |
Description |
| values |
Iterable<? extends com.google.cloud.speech.v1.SpeechRecognitionAlternative>
|
Returns
addAlternatives(SpeechRecognitionAlternative value)
public SpeechRecognitionResult.Builder addAlternatives(SpeechRecognitionAlternative value)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
Returns
addAlternatives(SpeechRecognitionAlternative.Builder builderForValue)
public SpeechRecognitionResult.Builder addAlternatives(SpeechRecognitionAlternative.Builder builderForValue)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
Returns
addAlternatives(int index, SpeechRecognitionAlternative value)
public SpeechRecognitionResult.Builder addAlternatives(int index, SpeechRecognitionAlternative value)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameters
Returns
addAlternatives(int index, SpeechRecognitionAlternative.Builder builderForValue)
public SpeechRecognitionResult.Builder addAlternatives(int index, SpeechRecognitionAlternative.Builder builderForValue)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameters
Returns
addAlternativesBuilder()
public SpeechRecognitionAlternative.Builder addAlternativesBuilder()
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Returns
addAlternativesBuilder(int index)
public SpeechRecognitionAlternative.Builder addAlternativesBuilder(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
| Name |
Description |
| index |
int
|
Returns
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public SpeechRecognitionResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
build()
public SpeechRecognitionResult build()
Returns
buildPartial()
public SpeechRecognitionResult buildPartial()
Returns
clear()
public SpeechRecognitionResult.Builder clear()
Returns
Overrides
clearAlternatives()
public SpeechRecognitionResult.Builder clearAlternatives()
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Returns
clearChannelTag()
public SpeechRecognitionResult.Builder clearChannelTag()
For multi-channel audio, this is the channel number corresponding to the
recognized result for the audio from that channel.
For audio_channel_count = N, its output values can range from '1' to 'N'.
int32 channel_tag = 2;
Returns
clearField(Descriptors.FieldDescriptor field)
public SpeechRecognitionResult.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
clearOneof(Descriptors.OneofDescriptor oneof)
public SpeechRecognitionResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
clone()
public SpeechRecognitionResult.Builder clone()
Returns
Overrides
getAlternatives(int index)
public SpeechRecognitionAlternative getAlternatives(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
| Name |
Description |
| index |
int
|
Returns
getAlternativesBuilder(int index)
public SpeechRecognitionAlternative.Builder getAlternativesBuilder(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
| Name |
Description |
| index |
int
|
Returns
getAlternativesBuilderList()
public List<SpeechRecognitionAlternative.Builder> getAlternativesBuilderList()
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Returns
getAlternativesCount()
public int getAlternativesCount()
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Returns
getAlternativesList()
public List<SpeechRecognitionAlternative> getAlternativesList()
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Returns
getAlternativesOrBuilder(int index)
public SpeechRecognitionAlternativeOrBuilder getAlternativesOrBuilder(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
| Name |
Description |
| index |
int
|
Returns
getAlternativesOrBuilderList()
public List<? extends SpeechRecognitionAlternativeOrBuilder> getAlternativesOrBuilderList()
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Returns
| Type |
Description |
| List<? extends com.google.cloud.speech.v1.SpeechRecognitionAlternativeOrBuilder> |
|
getChannelTag()
public int getChannelTag()
For multi-channel audio, this is the channel number corresponding to the
recognized result for the audio from that channel.
For audio_channel_count = N, its output values can range from '1' to 'N'.
int32 channel_tag = 2;
Returns
| Type |
Description |
| int |
The channelTag.
|
getDefaultInstanceForType()
public SpeechRecognitionResult getDefaultInstanceForType()
Returns
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
mergeFrom(SpeechRecognitionResult other)
public SpeechRecognitionResult.Builder mergeFrom(SpeechRecognitionResult other)
Parameter
Returns
public SpeechRecognitionResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
mergeFrom(Message other)
public SpeechRecognitionResult.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
mergeUnknownFields(UnknownFieldSet unknownFields)
public final SpeechRecognitionResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
removeAlternatives(int index)
public SpeechRecognitionResult.Builder removeAlternatives(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameter
| Name |
Description |
| index |
int
|
Returns
setAlternatives(int index, SpeechRecognitionAlternative value)
public SpeechRecognitionResult.Builder setAlternatives(int index, SpeechRecognitionAlternative value)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameters
Returns
setAlternatives(int index, SpeechRecognitionAlternative.Builder builderForValue)
public SpeechRecognitionResult.Builder setAlternatives(int index, SpeechRecognitionAlternative.Builder builderForValue)
May contain one or more recognition hypotheses (up to the
maximum specified in max_alternatives
).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1.SpeechRecognitionAlternative alternatives = 1;
Parameters
Returns
setChannelTag(int value)
public SpeechRecognitionResult.Builder setChannelTag(int value)
For multi-channel audio, this is the channel number corresponding to the
recognized result for the audio from that channel.
For audio_channel_count = N, its output values can range from '1' to 'N'.
int32 channel_tag = 2;
Parameter
| Name |
Description |
| value |
int
The channelTag to set.
|
Returns
setField(Descriptors.FieldDescriptor field, Object value)
public SpeechRecognitionResult.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public SpeechRecognitionResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
setUnknownFields(UnknownFieldSet unknownFields)
public final SpeechRecognitionResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides


Guffey has blossomed into one of Trimble’s most versatile athletes, excelling in both football and basketball. He is Trimble's all-time leading scorer in boys’ basketball with 1,824 points to his name. In football, Guffey has committed to Notre Dame College to play as a wide receiver next season.
The senior’s accomplishments haven’t gone unnoticed. Guffey was the only player to receive First Team All-Ohio honors this season in both basketball and football. The Post spoke with Guffey to discuss his success in both sports.
The Post: When you were a kid, what interested you first? Did you start off with football and then get into basketball or was it always both at the same time?
Guffey: It really depends on what sport I was in season for. Basketball would be my favorite, and then football season would be my guaranteed favorite. Especially since I was always told, “You gotta be football, you gotta be football.” So that was really calling me later in life to do football.
TP: What made you choose to continue pursuing both in high school?
Guffey: Basically, I just love the game for both sports. I knew what I could do if I just kept working out harder and harder. My dream has always been like college football or college basketball, and I accomplished one of those goals now.
TP: What would you say you’ve gained from playing football and basketball for your community?
Guffey: I’ve gained a lot of trust and leadership, especially leadership. During basketball season, our coach has helped us a lot just to be able to learn about leadership and how to be a leader. Especially these past two years, with not having really many seniors last year. We had to step up as juniors to be leaders and then as seniors, we knew our role and it just helps you become a better player and a better person overall.
TP: Has all of the support from your community helped you with your success?
Guffey: Basically, the coaches have been there all along. They will help you get wherever you want. They’ll do whatever they can possibly do to help you achieve what you want to achieve. The community will also pitch in and they’ll help do their part by supporting you along the way and just cheering you on at games. I love playing games with them because that’s the best atmosphere around by far.
TP: Would you say your coaches are big inspirations for you?
Guffey: We have many, many coaches for each and every sport . I mean for football, our coaches line the sidelines, sometimes we’ll have more coaches than players. It’s really nice, especially at the high school level. You don’t get that experience anywhere else I don’t think. Our coaches, they just have so much knowledge about the game, and it’s just amazing having them be able to help you all the time and if you have any questions about certain things they know the answer.
TP: Does it ever get draining trying to keep up with both football and basketball?
Guffey: It’s definitely tough. But the right recovery and workout program is a big factor in not being able to wear yourself out. You just have to be smart with it to help you be 90-100% at all times. Our coaches know that. We’ll have a couple of days where it’s just like mellow, where everyone can just rest and recover and get back to playing.
TP: What does it feel like to be the only player in Ohio to get First Team All-Ohio honors for football and basketball?
Guffey: Honestly it is amazing, especially knowing all the hard work I have put in. Again, I’ve got to thank the coaches, because without them I would not be in this position. I may be taking the credit, but they need to be taking most of the credit.


Email:
Password:
Paypal User Id (optional):
Age 18-25 26-40 41+
Income <$25,000 $25,000-$50,000 $50,000-$75,000 $75,000-$100,000 $100,000+
What products or services do you see yourself buying in the next 6 months?
What do you consider yourself a specialist/expert in?
How would you describe your comfort level in regards to buying/recommending new products and services you love? I gotta be the first on my block with the new and shiny I wait until I hear a good review from a friend I buy once all my friends have it and I know it's a safe purchase.
Are you willing to do a voice call if you're approached for more detailed information? Yes No


Weather Forecast: Cloudy and Rainy
It will be cloudy today, with rain in many areas, heavy in the western part of the country. The eastern areas will remain almost dry. A moderate east-northeast wind, which will increase to strong at times in the east and along the Danube, will continue to bring colder air. In northern Bulgaria the temperatures will drop, in other areas they will be almost without daily movement. By 2:00 pm temperatures will be mostly between 6C and 11C, in Sofia - about 8C.
This is the National Institute of Meteorology and Hydrology (NIMH) weather forecast.


Storm Callum
- Peak: 3.43 metres on 13 October 2018
- Crickhowell was flooded and roads were closed. See photos
- Read the Met Office Report
Persistent Wet Weather
- Peak: 4.38 metres on 26 October 2019
- Crickhowell was flooded and roads were closed. See photos
- Read the Met Office Report
Storm Dennis
- Peak: 4.51 metres on 16 February 2020 (although likely higher since gauge stopped working)
- Crickhowell was flooded and roads were closed. See aerial drone images
- Read the Met Office Report


Day to day transport
What modes of transportation do you use during your daily activities such
as work, school, visiting friends and family, shopping and eating out?
On average, citizens of the UK travel 50 kilometers by car per day. This
roughly equates to an energy consumption of 40kWh/d.
How do you compare to that number?
Wind energy
Energy can be drawn from the wind through windmills on land, in shallow
waters and in deep waters.
If we would cover 10% of all land in the UK with wind farms, the wind
farms would generate about 20kWh/d per person in total.
If we would cover all of the shallow waters around Britain with wind farms
they would generate about 16kWh/d per person.
If we would cover all of the deep waters around Britain with wind farms
they would generate another 32kWh/d per person.
What would it cost to build these wind farms? How do they compare to wind
farms currently existing, how would the landscape look with these farms?
Long travel
Airplane travel has become very common, and has a significant energy
consumption impact.
One airplane holiday per year to a destination about 14.000KM away by
plane costs around 12.000 KWh per passenger, so over a year this amounts
to 33kWh/d per person.
Do you ever travel long distances? Do you travel by plane, car, bus or
train?
Solar energy
Energy can be collected from the light that the Sun shines down during
the day.
At home
The simplest and most efficient use of solar energy in cold countries
is to warm water with it. If everyone would cover 10m2 of their south
facing roofs with solar water heating panels then on average, this would
yield about 13kWh/d per person, assuming 50% efficiency.
More expensive and less efficient, but more versatile, is converting
the Sun's energy to electricity using photovoltaic panels. Theoretically
the maximum efficiency of photovoltaic panels is 60%, when perfect
lenses are used, and 45% without lenses. In practice no panels with an
efficiency exceeding 23% exist in the market, and most panels have are
about 14% efficient. If we would cover another 10m2 of south facing
roofs with expensive 20% efficient panels, they would yield another
5kWh/d per person.
Solar farms
We could also use the land available around our cities to collect energy
from the sun. If we would cover 5% of all land in the UK, or 200m2 per
person, with 10% efficient panels, that would yield another 50kWh/d per
person.
Another option is to cover the land with plants that could be used to
generate energy, In Europe not many very efficient plants can grow.
If we would cover 75% of the UK, or 3000m2 per person, with plants that
generate 0.5W per square meter that would generate an additional 36kWh/d
per person. This amount of land is equal to the amount of land currently
reserved for agriculture.
What's the most efficient plant we could grow in Europe? How much area
could we reasonably cover with energy generating plants? How many
photovoltaic panels can you put on your roof? How many would you have
installed in farms? What are the costs involved?
Heating and cooling
Hot water for bathing, cooking, cleaning is estimated to cost about
12kWh/d per person.
Warming the air in the UK is estimated to cost about 24kWh/d per person
on average.
Cooling air costs significant amounts of energy in countries where
temperatures regularily exceed 30 degrees celsius. In the UK most
temperatures rarely exceed 30 degrees, and thus cooling costs are quite
small. We estimate an average of 1kWh/d per person, which also includes
the refrigerator and freezer.
How much do you spend on heating and/or cooling your home? What
technology could you use to reduce your energy expenditures?
Energy from water
Electricity can be generated from locations where rain water collects at
attitude and can be collected behind dams. The north of the UK has
enough of this altitude and rainfall to generate about 1.5kWh/d per
person.
As the wind blows over the oceans and seas it creates waves. These waves
can be used to drive generators. If we would cover 500km of coastline
with 50% efficient wave generators, they would generate 4kWh/d per
person.
As the moon turns around the earth, all water on earth is pulled towards
it. This causes the tides, a huge movement of water that can be used to
generate energy. If you consider a pool connected to the sea that has a
tidal range of 4 meters, which is common in Europe, then the amount of
power you can generate from that pool is about 3W/m2.
Since vast area is used to generate significant energy, the most
effective way to use tidal energy is to build barrages or dams in the
sea. The UK has several locations where this would be possible, with a
total maximum yield of 11kWh/d per person.


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Asian stocks mixed on US and China trade war confusion
by Jessica ClarkAsian stocks were mixed this morning on uncertainty over whether the US and China are close to sealing a deal to call a truce in their trade war.
The news that the world’s two largest economies had agreed to roll back tariffs on each others goods caused global markets to rally overnight.
Read more: FTSE climbs on US China trade war hopes
However, markets partly reversed after reports contradicted this, saying the removal of tariffs faced “fierce internal opposition at the White House and from outside advisers”.
Tokyo’s Nikkei was up 0.26 per cent, the Hang Seng index was down 0.7 per cent and the Shanghai Composite Index dipped 0.49 per cent, according to Reuters data.
Lukman Otunuga, senior research analyst at FXTM, said markets reacted to a “glimmer of hope” that both sides were moving closer to a deal that could “resuscitate global growth”.
“Although most remain cautiously optimistic that a trade deal is still on the horizon, conflicting messages between both sides could strain investor confidence and dampen global sentiment,” Otunuga said.
“This is already being reflected in Asian markets on Friday morning with mixed performance, as investors attempt to gain clarity on the current trade developments.
“The cautious mood from Asia has the potential to infiltrate into European markets later this morning.”
Read more: Oil prices fall amid uncertainty over US China trade deal
“The noise coming from Washington DC was not quite so upbeat, with reports of conflicts amongst White House advisors on the merits of the plan,” said Jeffery Halley, senior market analyst at Oanda.
“That said, despite the lack of detail and a concrete timeline for even signing an interim trade deal, progress does at least appear to be being made. As ever, the caveat here is the unpredictable nature of the White House.”
Main image credit: Getty


A base implementation of the Code First Data Context for Entity Framework
More...
List of all members.
Public Member Functions |
| | EntityFrameworkContext (string connectionString, IMappingConfiguration[] configurations) |
| | Constructs a context
|
| IQueryable< T > | AsQueryable< T > () |
| | This gives a mockable wrapper around the normal DbSet{T} method that allows for testablity
|
| T | Add< T > (T item) |
| | Adds the provided instance of T to the data context
|
| T | Remove< T > (T item) |
| | Removes the provided instance of T from the data context
|
| T | Update< T > (T item) |
| | Updates the provided instance of T in the data context
|
| T | Attach< T > (T item) |
| | Attaches the provided instance of T to the data context
|
| T | Detach< T > (T item) |
| | Detaches the provided instance of T from the data context
|
| T | Reload< T > (T item) |
| | Reloads the provided instance of T from the database
|
| void | Reload< T > () |
| | Reloads all tracked objects of the type T
|
| int | Commit () |
| | Commits all currently tracked entity changes
|
| IEnumerable< T > | ExecuteSqlQuery< T > (string sql, params DbParameter[] dbParams) |
| | Executes a SQL command and tries to map the returned datasets into an IEnumerable{T} The results should have the same column names as the Entity Type has properties
|
| int | ExecuteSqlCommand (string sql, params DbParameter[] dbParams) |
| | Executes a SQL command and returns the standard int return from the query
|
| int | ExecuteFunction (string procedureName, params ObjectParameter[] dbParams) |
| |
|
Protected Member Functions |
| override void | OnModelCreating (DbModelBuilder modelBuilder) |
| | This method is called when the model for a derived context has been initialized, but before the model has been locked down and used to initialize the context. The default implementation of this method takes the Highway.Data.EntityFramework.Mappings.IMappingConfiguration array passed in on construction and applies them. If no configuration mappings were passed it it does nothing.
|
Properties |
| IEventManager | EventManager [get, set] |
| | The reference to EventManager that allows for ordered event handling and registration
|
Detailed Description
A base implementation of the Code First Data Context for Entity Framework
Constructor & Destructor Documentation
| Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.EntityFrameworkContext |
( |
string |
connectionString, |
|
|
IMappingConfiguration[] |
configurations |
|
) |
| |
|
inline |
Constructs a context
- Parameters:
-
| connectionString | The standard SQL connection string for the Database |
| configurations | The Mapping Configuration that will determine how the tables and objects interact |
Member Function Documentation
| T Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Add< T > |
( |
T |
item | ) |
|
|
inline |
Adds the provided instance of T to the data context
- Template Parameters:
-
| T | The Entity Type being added |
- Parameters:
-
| item | The T you want to add |
- Returns:
- The T you added
Implements Highway.Data.Interfaces.IDataContext.
| IQueryable<T> Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.AsQueryable< T > |
( |
| ) |
|
|
inline |
This gives a mockable wrapper around the normal DbSet{T} method that allows for testablity
- Template Parameters:
-
| T | The Entity being queried |
- Returns:
- IQueryable{T}
Implements Highway.Data.Interfaces.IDataContext.
| T Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Attach< T > |
( |
T |
item | ) |
|
|
inline |
Attaches the provided instance of T to the data context
- Template Parameters:
-
| T | The Entity Type being attached |
- Parameters:
-
| item | The T you want to attach |
- Returns:
- The T you attached
Implements Highway.Data.Interfaces.IDataContext.
| int Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Commit |
( |
| ) |
|
|
inline |
| T Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Detach< T > |
( |
T |
item | ) |
|
|
inline |
Detaches the provided instance of T from the data context
- Template Parameters:
-
| T | The Entity Type being detached |
- Parameters:
-
| item | The T you want to detach |
- Returns:
- The T you detached
Implements Highway.Data.Interfaces.IDataContext.
| int Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.ExecuteFunction |
( |
string |
procedureName, |
|
|
params ObjectParameter[] |
dbParams |
|
) |
| |
|
inline |
| int Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.ExecuteSqlCommand |
( |
string |
sql, |
|
|
params DbParameter[] |
dbParams |
|
) |
| |
|
inline |
Executes a SQL command and returns the standard int return from the query
- Parameters:
-
| sql | The Sql Statement |
| dbParams | A List of Database Parameters for the Query |
- Returns:
- The rows affected
Implements Highway.Data.Interfaces.IDataContext.
| IEnumerable<T> Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.ExecuteSqlQuery< T > |
( |
string |
sql, |
|
|
params DbParameter[] |
dbParams |
|
) |
| |
|
inline |
Executes a SQL command and tries to map the returned datasets into an IEnumerable{T} The results should have the same column names as the Entity Type has properties
- Template Parameters:
-
| T | The Entity Type that the return should be mapped to |
- Parameters:
-
| sql | The Sql Statement |
| dbParams | A List of Database Parameters for the Query |
- Returns:
- An IEnumerable{T} from the query return
Implements Highway.Data.Interfaces.IDataContext.
| override void Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.OnModelCreating |
( |
DbModelBuilder |
modelBuilder | ) |
|
|
inlineprotected |
This method is called when the model for a derived context has been initialized, but before the model has been locked down and used to initialize the context. The default implementation of this method takes the Highway.Data.EntityFramework.Mappings.IMappingConfiguration array passed in on construction and applies them. If no configuration mappings were passed it it does nothing.
Typically, this method is called only once when the first instance of a derived context is created. The model for that context is then cached and is for all further instances of the context in the app domain. This caching can be disabled by setting the ModelCaching property on the given ModelBuidler, but note that this can seriously degrade performance. More control over caching is provided through use of the DbModelBuilder and DbContextFactory classes directly.
- Parameters:
-
| modelBuilder | The builder that defines the model for the context being created. |
| T Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Reload< T > |
( |
T |
item | ) |
|
|
inline |
Reloads the provided instance of T from the database
- Template Parameters:
-
| T | The Entity Type being reloaded |
- Parameters:
-
| item | The T you want to reload |
- Returns:
- The T you reloaded
Implements Highway.Data.Interfaces.IDataContext.
| void Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Reload< T > |
( |
| ) |
|
|
inline |
| T Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Remove< T > |
( |
T |
item | ) |
|
|
inline |
Removes the provided instance of T from the data context
- Template Parameters:
-
| T | The Entity Type being removed |
- Parameters:
-
| item | The T you want to remove |
- Returns:
- The T you removed
Implements Highway.Data.Interfaces.IDataContext.
| T Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.Update< T > |
( |
T |
item | ) |
|
|
inline |
Updates the provided instance of T in the data context
- Template Parameters:
-
| T | The Entity Type being updated |
- Parameters:
-
| item | The T you want to update |
- Returns:
- The T you updated
Implements Highway.Data.Interfaces.IDataContext.
Property Documentation
| IEventManager Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.EventManager |
|
getset |
Event Documentation
| EventHandler<PostSaveEventArgs> Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.PostSave |
| EventHandler<PreSaveEventArgs> Highway.Data.EntityFramework.Contexts.EntityFrameworkContext.PreSave |
The documentation for this class was generated from the following file:
- Highway.Data.EntityFramework/Contexts/EntityFrameworkContext.cs


This website is part of a Graduate Project by Cheryl Nielsen for an MS Computer Science degree at San Francisco State University, USA.
For more information about Physics in Motion, see the GitHub code repository and Wiki pages.
Last updated November 28, 2018.


Call the help centre if they need to know, more about the Homeless App, we can help you.
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Young and old people who have difficulties of not having houses,you can ask for help for them to be heard out to the community to be helped with fun raises and giving them a job oppprtunites, educationm lessons on how to maintain their living without homes in the community


Last updated: 2019-08-08
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Knit directory: scRNA-seq-workshop-Fall-2019/
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library(Seurat)
Warning: package 'Seurat' was built under R version 3.5.2
pbmc<- readRDS("data/pbmc5k/pbmc_5k_v3.rds")
# for GSEA, we need the information of all genes, Seurat is just too slow if we test
# all 20,000 genes. instead let's try presto which performs a fast Wilcoxon rank sum test
#library(devtools)
#install_github('immunogenomics/presto')
library(presto)
Loading required package: Rcpp
pbmc.genes <- wilcoxauc(pbmc, 'seurat_clusters')
head(pbmc.genes)
feature group avgExpr logFC statistic auc
1 AL627309.1 0 0.005441269 -0.0039398743 2111934 0.4972455
2 AL627309.3 0 0.000000000 -0.0004917936 2122351 0.4996982
3 AL669831.5 0 0.058406758 -0.0098809068 2078179 0.4892981
4 FAM87B 0 0.000000000 -0.0017569714 2117864 0.4986417
5 LINC00115 0 0.033673117 -0.0053392639 2086692 0.4913023
6 FAM41C 0 0.015977393 -0.0161927551 2074044 0.4883245
pval padj pct_in pct_out
1 0.0960505617 0.1578387500 0.624025 1.17718080
2 0.3791408832 0.4752158709 0.000000 0.06036825
3 0.0201543483 0.0399747053 6.864275 9.20615756
4 0.0618111058 0.1073170552 0.000000 0.27165711
5 0.0159900126 0.0323571319 3.744150 5.58406278
6 0.0001773787 0.0004981502 2.028081 4.37669786
# we have all the genes for each cluster
dplyr::count(pbmc.genes, group)
# A tibble: 14 x 2
group n
<chr> <int>
1 0 18791
2 1 18791
3 10 18791
4 11 18791
5 12 18791
6 13 18791
7 2 18791
8 3 18791
9 4 18791
10 5 18791
11 6 18791
12 7 18791
13 8 18791
14 9 18791
To do Gene set enrichment analysis, we need to have the annotated gene set first. One popular source is the MsigDB from Broad Institute.
fgsea
library(msigdbr)
Loading required package: dplyr
Warning: package 'dplyr' was built under R version 3.5.2
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Loading required package: tibble
Warning: package 'tibble' was built under R version 3.5.2
library(fgsea)
library(dplyr)
library(ggplot2)
msigdbr_show_species()
[1] "Bos taurus" "Caenorhabditis elegans"
[3] "Canis lupus familiaris" "Danio rerio"
[5] "Drosophila melanogaster" "Gallus gallus"
[7] "Homo sapiens" "Mus musculus"
[9] "Rattus norvegicus" "Saccharomyces cerevisiae"
[11] "Sus scrofa"
m_df<- msigdbr(species = "Homo sapiens", category = "C7")
head(m_df)
# A tibble: 6 x 9
gs_name gs_id gs_cat gs_subcat human_gene_symb… species_name entrez_gene
<chr> <chr> <chr> <chr> <chr> <chr> <int>
1 GOLDRA… M3044 C7 "" ABCA2 Homo sapiens 20
2 GOLDRA… M3044 C7 "" ABCC5 Homo sapiens 10057
3 GOLDRA… M3044 C7 "" ABHD14A Homo sapiens 25864
4 GOLDRA… M3044 C7 "" ACADM Homo sapiens 34
5 GOLDRA… M3044 C7 "" ACP5 Homo sapiens 54
6 GOLDRA… M3044 C7 "" ACP6 Homo sapiens 51205
# … with 2 more variables: gene_symbol <chr>, sources <chr>
fgsea_sets<- m_df %>% split(x = .$gene_symbol, f = .$gs_name)
fgsea_sets$GSE11057_NAIVE_VS_MEMORY_CD4_TCELL_UP
[1] "ABLIM1" "ACER1" "ACPL2" "AEBP1"
[5] "AGRN" "AIF1" "ALG10B" "AMN1"
[9] "ANKRD36BP2" "APBA2" "APBB1" "ARMCX2"
[13] "BACH2" "BEND5" "BNIP3L" "BTBD3"
[17] "C10orf58" "C12orf23" "C1orf145" "C6orf170"
[21] "C6orf48" "CA6" "CADPS2" "CAMK4"
[25] "CD248" "CD55" "CENPV" "CEP41"
[29] "CHI3L2" "CHML" "CHMP7" "CIAPIN1"
[33] "CLCN5" "COL5A2" "CRLF3" "CYHR1"
[37] "DDR1" "DFNB59" "DNHD1" "DNTT"
[41] "DSC1" "EDAR" "EEA1" "EFNA1"
[45] "ENGASE" "EXPH5" "FAM113B" "FAM134B"
[49] "FCGRT" "FLJ13197" "GAL3ST4" "GNAI1"
[53] "GP5" "GPR125" "GPR160" "GPRASP1"
[57] "GPRASP2" "GPRC5B" "HEMGN" "HIPK2"
[61] "HSF2" "IGF1R" "IGIP" "ITGA6"
[65] "KCNQ5" "KCTD3" "KLHDC1" "KLHL13"
[69] "KLHL24" "KRT18" "KRT2" "KRT72"
[73] "KRT73" "LINC00282" "LMLN" "LOC100286937"
[77] "LOC100287237" "LOC100289019" "LOC100507218" "LOC282997"
[81] "LOC283887" "LOC284023" "LOC346887" "LOC439949"
[85] "LOC440104" "LOC641518" "LOC644794" "LOC646762"
[89] "LOC646808" "LPHN1" "LRRN3" "MALL"
[93] "MAML2" "MANSC1" "ME3" "MEF2A"
[97] "MEST" "METAP1D" "MIR101-1" "MIR600HG"
[101] "MLXIP" "MPP1" "MPP7" "MRPL45P2"
[105] "MYB" "MZF1" "NAA16" "NBEA"
[109] "NDFIP1" "NET1" "NPAS2" "NPM3"
[113] "NSUN5" "NUCB2" "NUDT12" "NUDT17"
[117] "PADI4" "PCSK5" "PDE3B" "PDE7A"
[121] "PDE7B" "PDE9A" "PDK1" "PECAM1"
[125] "PHGDH" "PIGL" "PIK3CD" "PIK3IP1"
[129] "PITPNM2" "PKIG" "PLA2G12A" "PLAG1"
[133] "PLLP" "PRRT1" "PTPRK" "RAPGEF6"
[137] "REG4" "RGS10" "RHPN2" "RIN3"
[141] "RNF175" "ROBO3" "SATB1" "SCAI"
[145] "SCARB1" "SCML1" "SCML2" "SERPINE2"
[149] "SERTAD2" "SERTM1" "SETD1B" "SFMBT2"
[153] "SFXN2" "SGK223" "SH3RF3" "SIAH1"
[157] "SLC11A2" "SLC25A37" "SLC29A2" "SLC2A11"
[161] "SMPD1" "SNORD104" "SNPH" "SNRPN"
[165] "SNX9" "SORCS3" "SPPL2B" "SREBF1"
[169] "STAP1" "STK17A" "TAF4B" "TARBP1"
[173] "TGFBR2" "TIMP2" "TLE2" "TMEM170B"
[177] "TMEM220" "TMEM41B" "TMEM48" "TMIGD2"
[181] "TOM1L2" "TSPAN3" "TTC28" "TUG1"
[185] "UBE2E2" "USP44" "VPS52" "ZC4H2"
[189] "ZMYND8" "ZNF182" "ZNF229" "ZNF238"
[193] "ZNF496" "ZNF506" "ZNF516" "ZNF546"
[197] "ZNF563" "ZNF662" "ZNF780B" "ZNRD1-AS1"
The fgsea()
function requires a list of gene sets to check, and a named vector of gene-level statistics, where the names should be the same as the gene names in the pathways list. First, let’s create our named vector of test statistics. See ?tibble::deframe for help here - deframe() converts two-column data frames to a named vector or list, using the first column as name and the second column as value. I copied some code from https://stephenturner.github.io/deseq-to-fgsea/
# Naive CD4+ T cells
pbmc.genes %>%
dplyr::filter(group == "0") %>%
arrange(desc(logFC), desc(auc)) %>%
head(n = 10)
feature group avgExpr logFC statistic auc pval
1 LDHB 0 2.237079 1.1313172 3720734 0.8760304 0.000000e+00
2 TRAC 0 1.998718 1.1093173 3280268 0.7723246 2.917922e-193
3 CD3E 0 1.875625 1.0529526 3311352 0.7796431 9.625101e-204
4 TCF7 0 1.587238 1.0255404 3586950 0.8445316 0.000000e+00
5 LTB 0 2.393230 1.0036746 3028868 0.7131337 2.244504e-113
6 CD3D 0 1.730219 0.9411404 3208290 0.7553776 6.267795e-172
7 CCR7 0 1.180417 0.9300371 3603946 0.8485333 0.000000e+00
8 IL7R 0 1.649311 0.8914322 3104348 0.7309051 3.329368e-148
9 SARAF 0 2.226600 0.8481803 3713555 0.8743401 0.000000e+00
10 TRABD2A 0 1.043007 0.8444002 3548526 0.8354848 0.000000e+00
padj pct_in pct_out
1 0.000000e+00 98.75195 74.97736
2 5.030337e-191 97.42590 45.27618
3 1.826922e-201 97.97192 44.97434
4 0.000000e+00 94.69579 44.00845
5 1.794743e-111 98.75195 65.34863
6 9.273869e-170 96.80187 42.92182
7 0.000000e+00 85.56942 22.69846
8 3.959630e-146 88.92356 35.79837
9 0.000000e+00 99.14197 89.37519
10 0.000000e+00 80.18721 19.52913
# we feel assured to see IL7R and CCR7 which are marker genes for naive CD4+ T cells
# select only the feature and auc columns for fgsea, which statistics to use is an open question
cluster0.genes<- pbmc.genes %>%
dplyr::filter(group == "0") %>%
arrange(desc(auc)) %>%
dplyr::select(feature, auc)
ranks<- deframe(cluster0.genes)
head(ranks)
RPL30 RPS3A RPS13 RPL35A RPL32 RPL11
0.9372499 0.9352810 0.9240511 0.9192642 0.9176527 0.9133020
fgseaRes<- fgsea(fgsea_sets, stats = ranks, nperm = 1000)
Warning in fgsea(fgsea_sets, stats = ranks, nperm = 1000): There are ties in the preranked stats (21% of the list).
The order of those tied genes will be arbitrary, which may produce unexpected results.
tidy the data a bit
fgseaResTidy <- fgseaRes %>%
as_tibble() %>%
arrange(desc(NES))
fgseaResTidy %>%
dplyr::select(-leadingEdge, -ES, -nMoreExtreme) %>%
arrange(padj) %>%
head()
# A tibble: 6 x 5
pathway pval padj NES size
<chr> <dbl> <dbl> <dbl> <int>
1 GSE10325_CD4_TCELL_VS_MYELOID_UP 0.00121 0.00699 10.0 190
2 GSE10325_LUPUS_CD4_TCELL_VS_LUPUS_MYELOID_UP 0.00121 0.00699 9.88 188
3 GSE22886_NAIVE_TCELL_VS_MONOCYTE_UP 0.00122 0.00699 9.39 184
4 GSE22886_NAIVE_CD4_TCELL_VS_MONOCYTE_UP 0.00121 0.00699 9.26 188
5 GSE22886_NAIVE_TCELL_VS_DC_UP 0.00122 0.00699 8.81 183
6 GSE22886_NAIVE_TCELL_VS_NKCELL_UP 0.00126 0.00699 8.34 176
# only plot the top 20 pathways
ggplot(fgseaResTidy %>% filter(padj < 0.008) %>% head(n= 20), aes(reorder(pathway, NES), NES)) +
geom_col(aes(fill= NES < 7.5)) +
coord_flip() +
labs(x="Pathway", y="Normalized Enrichment Score",
title="Hallmark pathways NES from GSEA") +
theme_minimal()
| Version | Author | Date |
|---|---|---|
| 5ad444c | Ming Tang | 2019-07-29 |
plotEnrichment(fgsea_sets[["GSE10325_CD4_TCELL_VS_MYELOID_UP"]],
ranks) + labs(title="GSE10325 CD4 TCELL VS MYELOID UP")
| Version | Author | Date |
|---|---|---|
| 5ad444c | Ming Tang | 2019-07-29 |
How to read the figure ?
The X-axis is all your genes in the expriment (~ 20,000 in this case) pre-ranked by your metric. each black bar is the gene in this gene set(pathway). You have an idea where are the genes located in the pre-ranked list.
Enrichement Score (ES) is calcuated by some metric that ES is positive if the gene set is located in the top of the pre-ranked gene list. ES is negative if the gene set is located in the bottom of the pre-ranked gene list.
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.1.0 fgsea_1.8.0 msigdbr_6.2.1 tibble_2.0.1 dplyr_<IP_ADDRESS>
[6] presto_1.0.0 Rcpp_1.0.0 Seurat_3.0.2
loaded via a namespace (and not attached):
[1] tsne_0.1-3 nlme_3.1-137 bitops_1.0-6
[4] fs_1.2.6 RColorBrewer_1.1-2 httr_1.4.0
[7] rprojroot_1.3-2 sctransform_0.2.0 tools_3.5.1
[10] backports_1.1.3 utf8_1.1.4 R6_2.3.0
[13] irlba_2.3.2 KernSmooth_2.23-15 lazyeval_0.2.1
[16] colorspace_1.4-1 withr_2.1.2 npsurv_0.4-0
[19] gridExtra_2.3 tidyselect_0.2.5 compiler_3.5.1
[22] git2r_0.23.0 cli_1.0.1 plotly_4.8.0
[25] labeling_0.3 caTools_<IP_ADDRESS> scales_1.0.0
[28] lmtest_0.9-36 ggridges_0.5.1 pbapply_1.3-4
[31] stringr_1.3.1 digest_0.6.18 rmarkdown_1.11
[34] R.utils_2.7.0 pkgconfig_2.0.2 htmltools_0.3.6
[37] bibtex_0.4.2 htmlwidgets_1.3 rlang_0.3.1
[40] zoo_1.8-4 jsonlite_1.6 BiocParallel_1.16.2
[43] ica_1.0-2 gtools_3.8.1 R.oo_1.22.0
[46] magrittr_1.5 Matrix_1.2-15 fansi_0.4.0
[49] munsell_0.5.0 ape_5.2 reticulate_1.10
[52] R.methodsS3_1.7.1 stringi_1.2.4 whisker_0.3-2
[55] yaml_2.2.0 gbRd_0.4-11 MASS_7.3-51.1
[58] gplots_3.0.1 Rtsne_0.15 plyr_1.8.4
[61] grid_3.5.1 parallel_3.5.1 gdata_2.18.0
[64] listenv_0.7.0 ggrepel_0.8.0 crayon_1.3.4
[67] lattice_0.20-38 cowplot_0.9.3 splines_3.5.1
[70] SDMTools_1.1-221 knitr_1.21 pillar_1.3.1
[73] igraph_1.2.2 reshape2_1.4.3 future.apply_1.0.1
[76] codetools_0.2-16 fastmatch_1.1-0 glue_1.3.0
[79] evaluate_0.12 lsei_1.2-0 metap_1.0
[82] data.table_1.11.8 png_0.1-7 Rdpack_0.10-1
[85] gtable_0.2.0 RANN_2.6 purrr_0.2.5
[88] tidyr_0.8.2 future_1.10.0 assertthat_0.2.0
[91] xfun_0.4 rsvd_1.0.0 survival_2.43-3
[94] viridisLite_0.3.0 workflowr_1.4.0 cluster_2.0.7-1
[97] globals_0.12.4 fitdistrplus_1.0-11 ROCR_1.0-7


Suddenly it all added up. It didn’t matter to Jesus who the world said that He was; He had wanted to know, “Who do you say that I am?” It didn’t matter to Him what Simon had done. He wanted to know, “Do you love me?” And three times Simon jumped at the chance to answer “Yes!”
Jesus’ questions are personal. He wants our answers to be equally personal. It doesn’t mater to Him what we have done. It matters to Him what we believe about Him and how we answer the question “Do you love me?”
I often stumble, showing my old colors beneath all the work Jesus has done in me. I tell Jesus “Never!” when I should say, “Anything you ask, Lord.” I fall asleep when I should be standing by Him. I betray and deny Him not once but over and over. And yet He still finds the sum of my behavior to be nothing compared to His great love and sacrifice for me.
For every mistake you make, Jesus adds one more chance. He doesn’t subtract His grace or mercy. He doesn’t take away the chance of a fresh start. He continually goes before you and asks you to follow Him. If you betray Him seven times, He gives you eight chances to redeem yourself. If you mess up seventy-times-seven times, God’s arithmetic responds with seventy-times-seven-plus-one offers of forgiveness, followed by an invitation just like the first: “Follow me.”
Jesus always offers us another chance to answer that singularly most important question: “Do you love me?”
Yes, Lord. A thousand times, yes!
Pray About It
Dear Jesus, we are so grateful for the way you handle the ups and downs of our lives. While we are all over the map with our thoughts, actions, and responses, You are the same yesterday, today, and forever. Thank You for Your patience when I need to be forgiven again and again. Help me to have the same patience, the same grace, when dealing with other people in my life. And, Lord, in response to Your question “Do you love me?” we answer “Yes, yes, yes!” Amen.


RxPullToRefreshDelegate
@objc
public protocol RxPullToRefreshDelegate : NSObjectProtocol
The interface for handling actions in a RxPullToRefresh object.
-
A delegate method that called each time a user performs an action.
Declaration
Swift
func action(state: RxPullToRefreshState, progress: CGFloat, scroll: CGFloat)
Parameters
state
A RxPullToRefreshState value.
progress
A CGFloat value indicating a progress rate. The value is limited to between 0 and 1.
scroll
A CGFloat value indicating a scroll rate. The value is limited to between 0 and 1.


My color will change, If I Enter the room then my color will change to blue and will get brighter. And as soon as I start leaving the room then my color changes to shade of red instantly and then reduces in brightness


About
Sophomore year student of B.Tech CSE with specialziation in Cloud Computing and Virtualization Technology at UPES,Dehradun. Gaining new knowledge in the field of Front-End web development. Working with different student chapers currently. Open-Source enthusiast and contributer. Keen interests in performing arts and sports too.
Front-End developer & Cloud Enthusiast.
Into making front-end sides of different websites and also learning about various cloud computing platforms and their technologies.
- DOB: 4 December 2001
- University: UPES,Dehradun
- Phone: +91-8018992398
- City: Vadodara,Gujarat
- Age: 19
- Degree: Undergraduation 2019-2023
- Email<EMAIL_ADDRESS>- Hiring: Available
My specialization domain is Cloud Computing along with my degree and I am really into exploring all the cloud features of different cloud service providers. I have certified knowledge in Amazon Web Services (AWS) and have gained good amout of knowledge about the facilites provided by AWS.
Over the time I have also indulged into Front-End Web Development invovling HTML,CSS, and Javascript. Even I have gained quite a practical knowledge about the Bootstrap framework and will continue to dive deep into the field. I have been able to use this skill to make a fully responsive 'Restaurant Website' as part of my Coursera course.
I have also started learning about databases like MySQL in recent days. In the upcoming time, I am planning to learn more about different technologies in various fields.
I have even started contributing to the open-source community and taking part in different open-source programs as well.
My co-curricular fonds would be table-tennis, football, dance, music, and travelling.
Do check out my blogging website on which I post about all kinds of techincal stuff and my work:
Blogging Website
Facts
These are some facts having information about my cetifications, award, hobbies, projects and all mentioned by details.
Certifications
-
Coursera - AWS Fundamentals Specialization certificates - 4
Coursera - Web Development Course Certificate - 1 - AWS Webinar Certificates - 2
- Coursera - Social Internship Honors certificate - "Becoming a Changemaker" - 1
Hobbies
- One of co-curricular interesrts are sports and in that Table-Tennis where I have been a regional player. I am also a player of football from very long time.
- My other liking is Dance which I have being doing from a very young age. I am part of the Dance team of "Lazarus Performing Arts" society of my college.
- I am also into travelling and wish to visit different places accross the globe.
- As for video games, I play FIFA and Valorant in my free time.
Skills
The below mentioned are all the skills that I possess in both technical and non-technical fields considering all the experience and work.
Resume
This is my Resume containing all neccessary information about me in different divisions.
Education
Bachelor of Technology in Computer Science Engineering
2019-2023
University of Petroleum and Energy Studies, Dehradun
Currently pursuing my Undergraduate Degree in Computer Science Engineering with specialization in Cloud Computing and Virtualization Technology.
Intermediate School
2017-2019
Mothers Public School, Bhubaneswar
Completed my Intermediate schooling from CBSE 11 & 12.
High School
2015-2017
Delhi Public School, Paradip
Completed my High school from CBSE 10th.
Professional Experience
Associate Social Media Head
Joined 2020 - Present
UPES Cloud Security Alliance Student Chapter
- Currently working as part of the main functioning team of CSA.
- Gained good experience in Public Relations where coordinated with students during events and registration drive.
- Been event head for different events.
- Written various kinds of editorial writeups.
Associate Technical Head
Joined 2020 - Present
UPES Hypervision Student Chapter
- Being a new member, I am learning different technical skills and conducting many technical events too.
- Managed few events till now.
- Looking forward to amazing technical work and contributions to this chapter.
Projects
Glassmorphism Website - Dasher
Basic HTML and Javascript website with styling done with SCSS. The website displays a gamer's games after they sign in or the viewer signs up. The authentication is done using the Google APIs from Firebase service. Firebase is also used for hosting the website. The design behind the site is based on the Glassmorphism UI trend.
GitHub Repository: Click here
Website: Click here
Nexplore
A web application build using ReactJS and styled with SCSS. The responsiveness is given using Bootstrap. Though it is still under development but the idea was to create a platform where people can recommend others movie, anime, or songs and even see what others have recommended. For all the functionalities, user authentication is added first using Google auth which is implemented using the Clerk APIs. This was part of my participation in Clerk+Hashnode hackathon.
GitHub Repository: Click here
Rock Paper Scissors Game
Basic HTML, CSS, and Javascript website for a virtual rock paper scissors game. Made it just for practice.
GitHub Repository: Click here
Website: Click here
Open-Source
Girlscript Summer of Code 2021
Website: Awesome JavaScript Projects
Contributed to the codebase with my ownHTML, CSS, and Javascript projects and also optimized the footer.
Pull Requests: Check out
Announcements Page
Girlscript Chennai Website
Created a front-end page for the announcements section of their website using simple HTML and CSS.
Pull Request: Check out


I am an aspiring software eng. currently working on my foundation in Moringa I strongly believe that my stay in Moringa will equip me with the required skills to make me a world class software eng., the school has the best techniques to enable one to be the best and and use their imagination to be the best as well as making it a reality in the tech world. I have always had a passion for Tech,Cars and Music.
I do have an intrest in learning the following programming languages
My hobbies include the following
000777000 my phone number
timothyaustinkihwaga7@gmail.com


This document describes the serialization to JSON of vTypes as provided by this library. The purpose of the JSON serialization is to interoperate with different domains, such as web services/sockets and python scripting.
Current support is included for the following types:
Note that JSON serialization in verbose and not efficient. Therefore it can be used for data of moderate size and slow update rate. Hopefully, in the future, BSON will reach a standardization point and availability, to handle more efficient encoding.
The JSON serialization is broken down into the basic vTypes components:
The serialization of each element is common across vTypes.
The purpose of the type field is to signal that a particular JSON object is the serialization of a vType. It will also contain all information needed to de-serialize or use the object, including the version and actual type name.
Type definition:
type := String name String version
The type name can be one of supported types:
Scalars Arrays Complex VDouble VDoubleArray VTable VFloat VFloatArray VLong VLongArray VInt VIntArray VShort VShortArray VByte VByteArray VBoolean VBooleanArray VEnum VEnumArray VString VStringArray
This document refers to version "1"
An example of a JSON instance of Type:
{ "name": "VDouble", "version": "1" }
An Alarm:
Alarm :=
String severity
String status
Descriptions:
Alarm: Alarm information. Represents the severity and name of the highest alarm associated with the channel.
severity: Severity that MUST be a value in the enumeration: [NONE, MINOR, MAJOR, INVALID, UNDEFINED]. status: Status is a short string that represents the alarm.
Example of a JSON fields for an Alarm:
{ "severity": "NONE", "status": "NONE", } { "severity": "MINOR", "status": "LOW", }
A Display:
Display :=
Number lowAlarm
Number highAlarm
Number lowDisplay
Number highDisplay
Number lowWarning
Number highWarning
String units
Descriptions:
Display: Limit and unit information needed for display. The numeric limits are given in double precision no matter which numeric type. The unit is a simple String, which can be empty if no unit information is provided.
lowAlarm: Lowest value of the alarm range. highAlarm: Highest value of the alarm range. lowDisplay: Lowest value of the display range. highDisplay: Highest value of the display range. lowWarning: Lowest value of the warning range. highWarning: Highest value of the warning range. units: Text representation of the units used for values.
An example of a JSON instance of a Display:
{ "lowAlarm": -80, "highAlarm": 80, "lowDisplay": -100, "highDisplay": 100, "lowWarning": 75, "highWarning": 75, "units": "m" }
An Enum:
Enum :=
String[] labels
Descriptions:
Enum: The metadata necessary to encode an enumeration.
labels: All the possible labels. MUST contain at least one element. MUST contain unique elements.
An example of a JSON instance of an Enum
{ "labels": [ "ON", "OFF", "DISABLED" ] }
A Time:
Time :=
Integer unixSec
Integer nanoSec
Integer userTag
Descriptions:
Time: Time information.
unixSec: Unix seconds portion of the timestamp. 64-bit signed. nanoSec: Nano seconds portion of the timestamp. 32-bit signed with a valid range of 0-999,999,999. userTag: A user defined tag, that can be used to store extra time information, such as beam shot.
An example of a JSON instance of a Time:
{ "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 1 }
A scalar numeric value:
VNumber :=
Type type
Number value
Alarm alarm
Time time
Display display
The type/name can be one of VDouble/VFloat/VLong/VInt/VShort/VByte. The value is always a JSON number, but the type/name will define the range allowed to such value.
Descriptions:
VNumber: Basic type definition for all scalar numeric types, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The numeric value. alarm: Alarm linked with the value. time: Time linked with the value. display: Display linked with the value.
An example of a JSON instance of a VDouble:
{ "type" : { "name": "VDouble", "version": "1" } "value": 3.1415, "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } "display": { "lowAlarm": -80, "highAlarm": 80, "lowDisplay": -100, "highDisplay": 100, "lowWarning": 75, "highWarning": 75, "units": "rad" }, }
A scalar boolean value:
VBoolean :=
Type type
Boolean value
Alarm alarm
Time time
The type/name MUST be VBoolean. The value MUST the JSON constant TRUE or FALSE.
Descriptions:
VBoolean: Basic type definition for scalar boolean, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The boolean value. alarm: Alarm linked with the value. time: Time linked with the value. display: Display linked with the value.
An example of a JSON instance of a VBoolean:
{ "type" : { "name": "VBoolean", "version": "1" } "value": true, "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } }
A scalar enumeration value:
VEnum :=
Type type
Integer value
Alarm alarm
Time time
Enum enum
The type/name MUST be VEnum. The value MUST be an integer in the range given by enum/labels.
Descriptions:
VEnum: Basic type definition for scalar enum, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The index of the value in the enum/labels array. alarm: Alarm linked with the value. time: Time linked with the value. enum: Enum linked with the value.
An example of a JSON instance of a VEnum:
{ "type" : { "name": "VEnum", "version": "1" } "value": 1, "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } "enum": { "labels": [ "ON", "OFF", "DISABLED" ] } }
A scalar string value:
VString :=
Type type
String value
Alarm alarm
Time time
The type/name MUST be VString. The value MUST be a JSON string.
Descriptions:
VString: Basic type definition for scalar string, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The string value. alarm: Alarm linked with the value. time: Time linked with the value.
An example of a JSON instance of a VString:
{ "type" : { "name": "VString", "version": "1" } "value": "Hello", "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } }
A numeric array value:
VNumberArray :=
Type type
Number[] value
Alarm alarm
Time time
Display display
The type/name MUST be one of VDoubleArray/VFloatArray/VLongArray/VIntArray/VShortArray/VByteArray. The value is always a JSON number array, but the type/name will define the range allowed to such value.
Descriptions:
VNumberArray: Type definition for all numeric array types, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The numeric array. alarm: Alarm linked with the value. time: Time linked with the value. display: Display linked with the value.
An example of a JSON instance of a VDoubleArray:
{ "type" : { "name": "VDoubleArray", "version": "1" } "value": [ 0.0, 0.1, 0.2 ], "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } "display": { "lowAlarm": -80, "highAlarm": 80, "lowDisplay": -100, "highDisplay": 100, "lowWarning": 75, "highWarning": 75, "units": "m" }, }
A boolean array value:
VBooleanArray :=
Type type
Boolean[] value
Alarm alarm
Time time
The type/name MUST be VBooleanArray. The value MUST be an array that contains only the JSON constants TRUE or FALSE.
Descriptions:
VBooleanArray: Type definition for boolean array, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The boolean array. alarm: Alarm linked with the value. time: Time linked with the value. display: Display linked with the value.
An example of a JSON instance of a VBoolean:
{ "type" : { "name": "VBoolean", "version": "1" } "value": [ true, false, true ] "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } }
A enumeration array value:
VEnumArray :=
Type type
Integer[] value
Alarm alarm
Time time
Enum enum
The type/name MUST be VEnumArray. The value MUST be an array of integers in the range given by enum/labels.
Descriptions:
VEnumArray: Type definition for enum array, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The array of indexes of the values in the enum/labels array. alarm: Alarm linked with the value. time: Time linked with the value. enum: Enum linked with the value.
An example of a JSON instance of a VEnumArray:
{ "type" : { "name": "VEnumArray", "version": "1" } "value": [ 1, 0, 1 ] "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } "enum": { "labels": [ "ON", "OFF", "DISABLED" ] } }
A string array value:
VStringArray :=
Type type
String[] value
Alarm alarm
Time time
The type/name MUST be VStringArray. The value MUST be a JSON string array.
Descriptions:
VStringArray: Type definition for scalar string, containing a value and metadata. One must always look at the alarm severity to be able to correctly interpret the value.
value: The string array value. alarm: Alarm linked with the value. time: Time linked with the value.
An example of a JSON instance of a VStringArray:
{ "type" : { "name": "VString", "version": "1" } "value": [ "A", "B", "C" ] "alarm": { "severity": "NONE", "status": "NONE", }, "time": { "unixSec":<PHONE_NUMBER>, "nanoSec": 521786982, "userTag": 0 } }
A table:
VTable :=
Type type
String[] columnNames
String[] columnTypes
Object[][] columnValues
Descriptions:
Table: A table. Tables are collections of columns, each of which is composed of a column name, type, and data array. All elements of the same column MUST be of the same type. Unit information is contained within the ScalarArray columns Display field.
columnNames: A string array with the names of the columns. columnTypes: A string array with the type of each column. MUST be the same size of columnNames. The type MUST be one of the following: String, double, float, long, integer, short, byte. columnValues: An array where each element is an array with the data of each column. The data MUST match the type. The data for a String column MUST contain only JSON strings. The data of a double/float/long/integer/short/byte column must contain only JSON numbers within the range and precision.
An example of a JSON instance of a VTable:
{ "type": { "name": "VTable", "version": 1 }, "columnNames": [ "Name", "Index", "Value" ], "columnTypes": [ "String", "int", "double" ], "columnValues": [ ["A", "B", "C"], [1, 2, 3], [3.14, 1.25, -0.1] ] }
Useful Links:


| Parentheses () |
Parentheses are used for two purposes:
(1) to control the order of operations in an expression, and
(2) to supply parameters to a constructor or method.
|
| Brackets [] |
Brackets are used to index into an array.
|
| Braces {} |
- Braces are used to group statements and declarations.
- The contents of a class or interface are enclosed in braces.
- Braces are used to group the statements in an if statement, a loop, or other control structures.
|
| Single Quotes '' / Double Quotes " " |
-
Represents a string, you must start and end
with a single quote.
-
There is really no difference in the end
between using single or double quotes, meaning
they both represent a string in the end.
-
The system doesn't really care which one you use.
No need to escape the other character within a string.
-
So a double quoted string can have single quotes
without escaping them, and a single quoted string
can have double quotes within it without having to
escape them.
- "Double quotes with a single ( ' ) quote in the middle"
- 'single quotes ( \' ) must escape a single quote'
-
Each type must escape their own type
- "double quotes ( \" ) must escape a double quote"
- 'single quotes ( \' ) must escape a single quote'
|


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/tactic.2Ecases_core.html ---
What is the output of tactic.cases_core
?
/-- Apply `cases_on` recursor, names for the new hypotheses are retrieved from `ns`. `h` must be a local constant. It returns for each new goal the name of the constructor, a list of new hypotheses, and a list of substitutions for hypotheses depending on `h`. The number of new goals may be smaller than the number of constructors. Some goals may be discarded when the indices to not match. See `induction` for information on the list of substitutions. The `cases` tactic is implemented using this one, and it relaxes the restriction of `h`. -/
I don't really understand a list of substitutions for hypotheses
and the fact that sometimes I get duplicates in that particular list
Last updated: Apr 24 2020 at 19:02 UTC


You are best suited for {{score}} Job as per your score and our recommendation
You are {{result}} as per your scores.
You are best suited for {{score}} Job as per your score and our recommendation


Research and analysis
Results from stage 2 of an evaluation of the special educational needs and disability (SEND) pathfinder programme.
Ref: ISBN 978-1-78105-359-1 , DFE-RR356A PDF , 980KB , 92 pages
Ref: ISBN 978-1-78105-360-7 , DFE-RR356B PDF , 1.47MB , 60 pages
Ref: ISBN 978-1-78105-361-4 , DFE-RR356C PDF , 866KB , 26 pages
Ref: ISBN 978-1-78105-362-1 , DFE-RR356D PDF , 587KB , 22 pages
Ref: ISBN 978-1-78105-363-8 , DFE-RR356E PDF , 851KB , 23 pages
Ref: ISBN 978-1-78105-364-5 , DFE-RR356F PDF , 734KB , 20 pages
This research includes reports on:
Published: 15 August 2014


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|
My Project
|
Partial data-type information mapped to a specific range of bytes. More...
#include <varmap.hh>
Public Types | |
| enum | RangeType { fixed = 0, open = 1, endpoint = 2 } |
| The basic categorization of the range. More... | |
Public Member Functions | |
| RangeHint (void) | |
| Uninitialized constructor. | |
| RangeHint (uintb st, int4 sz, intb sst, Datatype *ct, uint4 fl, RangeType rt, int4 hi) | |
| Initialized constructor. | |
| bool | reconcile (const RangeHint *b) const |
| Can the given intersecting RangeHint coexist with this at their given offsets. More... | |
| bool | contain (const RangeHint *b) const |
| Return true if this or the given range contains the other. More... | |
| bool | preferred (const RangeHint *b, bool reconcile) const |
| Return true if the this range's data-type is preferred over the other given range. More... | |
| bool | absorb (RangeHint *b) |
| Try to absorb the other RangeHint into this. More... | |
| bool | merge (RangeHint *b, AddrSpace *space, TypeFactory *typeFactory) |
| Try to form the union of this with another RangeHint. More... | |
| int4 | compare (const RangeHint &op2) const |
| Order this with another RangeHint. More... | |
Static Public Member Functions | |
| static bool | compareRanges (const RangeHint *a, const RangeHint *b) |
| Compare two RangeHint pointers. | |
Friends | |
| class | MapState |
| class | ScopeLocal |
Partial data-type information mapped to a specific range of bytes.
This object gives a hint about the data-type for a sequence of bytes starting at a specific address offset (typically on the stack). It describes where the data-type starts, what data-type it might be, and how far it extends from the start point (possibly as an array).
| enum RangeHint::RangeType |
| bool RangeHint::absorb | ( | RangeHint * | b | ) |
Try to absorb the other RangeHint into this.
If this RangeHint is an array and the following details line up, adjust this so that it absorbs the other given RangeHint and return true. The second RangeHint:
| b | is the other RangeHint to absorb |
| int4 RangeHint::compare | ( | const RangeHint & | op2 | ) | const |
| bool RangeHint::contain | ( | const RangeHint * | b | ) | const |
Return true if this or the given range contains the other.
We assume this range starts at least as early as the given range and that the two ranges intersect.
| b | is the given range to check for containment with this |
| bool RangeHint::merge | ( | RangeHint * | b, |
| AddrSpace * | space, | ||
| TypeFactory * | typeFactory | ||
| ) |
Try to form the union of this with another RangeHint.
Given that this and the other RangeHint intersect, redefine this so that it becomes the union of the two original ranges. The union must succeed in some form. An attempt is made to preserve the data-type information of both the original ranges, but changes will be made if necessary. An exception is thrown if the data-types are locked and cannot be reconciled.
| b | is the other RangeHint to merge with this |
| space | is the address space holding the ranges |
| typeFactory | is a factory for producing data-types |
| bool RangeHint::preferred | ( | const RangeHint * | b, |
| bool | reconcile | ||
| ) | const |
Return true if the this range's data-type is preferred over the other given range.
A locked data-type is preferred over unlocked. A fixed size over open size. Otherwise data-type ordering is used.
| b | is the other given range |
| reconcile | is true is the two ranges have reconciled data-types |
| bool RangeHint::reconcile | ( | const RangeHint * | b | ) | const |
Can the given intersecting RangeHint coexist with this at their given offsets.
Determine if the data-type information in the two ranges line up properly, in which case the union of the two ranges can exist without destroying data-type information.
| b | is the range to reconcile with this |


Tanhaji -The Unsung Warrior: Rohit Shetty Calls Himself An Employee Of Devgan Films & Says Ajay Devgn Is His Boss
Ajay and Rohit have together worked in hit franchises like Singham & Golmaal.
by Koimoi.com TeamAjay Devgn along with Saif Ali Khan, Sharad Kelkar, Om Raut and others released the trailer of upcoming much-awaited film Tanhaji: The Unsung Warrior. Ajay’s best friend and filmmaker Rohit Shetty also attended the grand event and spoke about his friendship with the superstar.
Rohit Shetty said, “I haven’t come here as a director, you can count me here as one of the old employees of “Devgan Films”. My journey will be incomplete without a name and that is Ajay Devgn.  We’ve spent 20 years together. This relationship hasn’t been about a few Fridays but two generations.”
He further adds, “I am today here because what you are going to experience here is a 30-year-old dream of Ajay Devgn. He wanted to give a lifetime visual experience to the audience and coincidentally, he fulfilled his dream with his 100th film.”
Rohit also praised the whole team of Tanhaji movie for the efforts and hard work they have put in to make the film an unforgettable experience for the audience.
Ajay and Rohit have together worked in hit franchises like Singham & Golmaal.
Tanhaji: The Unsung Warrior’s trailer has received an extremely positive initial response on the internet.
Directed by Om Raut, the film is slated to release on January 10, 2020.


It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley..
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour.
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour.
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour.
DOWNLOADED
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CUSTOMERS
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and Highlight Text typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been.
Simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry.
Printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Possimus aut mollitia eum ipsum fugiat odio officiis odit.
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Source code for greengraph.graph
import numpy as np
import geopy
from map import Map
[docs]class Greengraph(object):
'''
Main public class that does something.
'''
def __init__(self, start, end):
self.start=start
self.end=end
self.geocoder=geopy.geocoders.GoogleV3(domain="maps.google.co.uk")
[docs] def geolocate(self, place):
'''
.. method:: Locates the given position on the map
'''
# When exactly_one is False, and there is at least one result, returns a list of geopy.location.Location objects
# [0][0] - Address like London,UK
# [0][1] - Long and latitude - for London = (51.5073509, -0.1277583)
return self.geocoder.geocode(place, exactly_one=False)[0][1]
[docs] def location_sequence(self, start,end,steps):
'''
.. method:: Discretize the space between the start and end point
'''
lats = np.linspace(start[0], end[0], steps)
longs = np.linspace(start[1],end[1], steps)
return np.vstack([lats, longs]).transpose()
[docs] def green_between(self, steps):
'''
.. method:: Counts the green pixels between the two locations
'''
# for each geolocated place, a Map object is created -> which has the associated png image as an attribute -> we call count_green() on its pixels
return [Map(*location).count_green()
for location in self.location_sequence(
self.geolocate(self.start),
self.geolocate(self.end),
steps)]


--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/116395maths/83523trash.html ---
you need f to be continuous?
you need a to be between f x and f y?
oh never mind


Drop left , right
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?The
New
York
copyright
reserved
botanical
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Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Mushrooms (P. mexicana & C. cyanescens)
The following is a poem about mushrooms written by me while coming down from an intense trip.
Dream Psilocybian
===================
What man can fathom the dreamy angles psilocybian
That arise from the earth in sickly-sweet parade
To make insanity out of reason, and open eyes so long blinded?
Electric is the parade of cascading absurdity
That claws at the soul with talons of flame
And turns things once cherished and familiar
Into gargantuan monoliths of alienation and paranoia
For beyond the wall of dreams lie dismal fields eternal, and a sun that never rises
Through the silent desperation of twilight skies
Frost bitten by undying winds and darkness eternal
And shrouded with the depraved laughter of a million madmen
Lurks the dream psilocybian
To make insanity out of reason, and open eyes so long blinded
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.


shows
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news
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songs
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artwork
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contact
Last Transmission
Murderers
Dirge
A Sante Caserio
Joan of Arc with Hair Aflame


I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
This is a beautiful paragraph. It was a perfect conversation.
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
This is a beautiful paragraph. It was a perfect conversation.
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
This is a beautiful paragraph. It was a perfect conversation.
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!
An AnchorThis is a beautiful paragraph. It was a perfect conversation. It was a perfect conversation. It was a perfect conversation.
I had a perfect conversation with the president of Ukraine. It was absolutely perfect!!


introDH-Hub Model Website
Home
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DIGIT 100 Posts
My Gallery of Libraries
Image of Merton College Library at Oxford University, England. Source: Wikipedia.
Image of Vasconcelos Library in Mexico City, with a giant whale skeleton hanging from the ceiling. Source: ?????
Image of Lilley Library at Penn State Erie, The Behrend College. Source: PSU Behrend.


Arsenal invite Erling Haaland’s father to London Colney training ground – report
Erling Haaland's father visits Arsenal's training ground as the Gunner step up their interest in the teenager, according to a report
by Transfer AgentArsenal have entered the race to sign Erling Haaland after the teenager’s father visited their London Colney training ground, according to a report in Germany.
German media outlet Sport Bild, as quoted by Metro, is reporting that Alfe Inge Haaland went to visit Arsenal’s facilities this week ahead of the January transfer window.
The same article states that Arsenal are prepared to rival Manchester United’s interest after the 19-year-old father made a trip to Carrington earlier this week.
According to the same story, Alfe Inge is advising his son to move to a Bundesliga team before the prolific striker completes a switch to the Premier League or La Liga.
The report goes on to add that Arsenal and Manchester United will face competition for La Liga’s Real Madrid, Serie A’s Juventus and German club Bayern Munich.
The article suggests Ole Gunnar Solskjaer’s previous experience of working with Haaland could give Manchester United the edge over Arsenal in the race to sign the striker.
Haaland has made a prolific start to the season after a return of 15 goals in 12 games in the Austrian top flight.
The teenager has also netted seven times in four Champions League fixtures this term.
Arsenal signed six players in the summer transfer window but the Gunners have still struggled to piece together a sustained top-four challenge this term.


as Team Lead
as Developer
And last but not least...
The only real mistake is the one from which we learn nothing.
Henry Ford
Something everyone should know before going
But starbucks helps...
But subway rocks..
Still gangs like - Bloods, Crips, Latin Kings, MS-13
But still, relatively safe - just look around
only flight duration >10h!!
tried 11 custom beers in 3 hours timeframe
But I was too full to even move...
ESTONIA 1 : 1 USA
We went to airport through ...
ESTONIA 2 : 1 USA
Anyone heard about them?
ESTONIA 3 : 1 USA


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Codehaus XFire
DocumentationQuicklinksDevelopers
Sponsors |
OverviewThis document outlines what it takes to get started with your first XFire service. This is a fairly simple process. This document will lead you through setting up the XFire servlet. This document also presupposes that you are familiar with setting up servlets in your servlet container. This example can be found under "examples/book" in the XFire Distribution. The general procedure is:
It is also possible to embed XFire within your application. See the Using the XFire API section of the Users's Guide. Set up the directory structureThe directory structure for the web app is simple: xfire/ +-WEB-INF/ +-web.xml +-lib/ (holds dependencies) The code that goes along with this guide uses the maven war plugin to build a war for your servlet container. These files can be found under the "resources" directory in that distribution. Gather dependenciesXFire has a few dependencies. These will need to be added to your WEB-INF/lib directory. For a detailed description of what dependencies are need see the Dependency Guide. Write a serviceFor this case, lets write a simple service which "finds" a book: public class BookServiceImpl implements BookService { private Book onlyBook; public BookServiceImpl() { onlyBook = new Book(); onlyBook.setAuthor("Dan Diephouse"); onlyBook.setTitle("Using XFire"); onlyBook.setIsbn("0123456789"); } public Book[] getBooks() { return new Book[] { onlyBook }; } public Book findBook(String isbn) throws BookException { if (isbn.equals(onlyBook.getIsbn())) return onlyBook; throw new BookException("Book not exists",new BookExceptionDetail("NOT_EXIST","Can't find book")); } public Map getBooksMap() { Map result = new HashMap(); result.put(onlyBook.getIsbn(), onlyBook); return result; } } And the corresponding book class: public class Book { private String title; private String isbn; private String author; public String getIsbn() { return isbn; } public void setIsbn(String isbn) { this.isbn = isbn; } public String getTitle() { return title; } public void setTitle(String title) { this.title = title; } public String getAuthor() { return author; } public void setAuthor(String author) { this.author = author; } } Create your XFire configurationYou will need to create a services.xml file which describes the services you are deploying. Put this file on your class path in "META-INF/xfire/services.xml". (Try "WEB-INF/classes/META-INF/xfire/services.xml" if the system cannot find the file.) <beans xmlns="http://xfire.codehaus.org/config/1.0"> <service> <name>BookService</name> <namespace>http://xfire.codehaus.org/BookService</namespace> <serviceClass>org.codehaus.xfire.demo.BookService</serviceClass> <implementationClass>org.codehaus.xfire.demo.BookServiceImpl</implementationClass> <inHandlers> <handler handlerClass="org.codehaus.xfire.demo.handlers.CheckVersionHandler" /> </inHandlers> </service> </beans> Create your web.xmlFollow the instructions on how to create a web.xml file here. <!DOCTYPE web-app PUBLIC "-//Sun Microsystems, Inc.//DTD Web Application 2.3//EN" "http://java.sun.com/dtd/web-app_2_3.dtd"> <web-app> <servlet> <servlet-name>XFireServlet</servlet-name> <display-name>XFire Servlet</display-name> <servlet-class> org.codehaus.xfire.transport.http.XFireConfigurableServlet </servlet-class> </servlet> <servlet-mapping> <servlet-name>XFireServlet</servlet-name> <url-pattern>/servlet/XFireServlet/*</url-pattern> </servlet-mapping> <servlet-mapping> <servlet-name>XFireServlet</servlet-name> <url-pattern>/services/*</url-pattern> </servlet-mapping> </web-app> Add the war to your servlet containerTo create the war in the example code using maven 2, do "mvn war:war". This will place a war in the "target" directory. Just drop this into your favorite servlet container and you should be set to go! Access the WSDL via: http://localhost:8080/xfire-book-1.1/services/BookService?wsdl What went on hereThe services.xml gave XFire information on how to construct your service. Using the ObjectServiceFactory, your class was introspected for methods which were turned into web service operations. Likewise the Book class was bound to an XML schema. Once this was done, the Service generated from ObjectServiceFactory.create() was registered with the XFire ServiceFactory. At that point, your service was exposed and available! |


| Top |
GtkAppChooserWidgetGtkAppChooserWidget — Application chooser widget that can be embedded in other widgets |
| gchar * | default-text | Read / Write |
| gboolean | show-all | Read / Write / Construct |
| gboolean | show-default | Read / Write / Construct |
| gboolean | show-fallback | Read / Write / Construct |
| gboolean | show-other | Read / Write / Construct |
| gboolean | show-recommended | Read / Write / Construct |
GObject ╰── GInitiallyUnowned ╰── GtkWidget ╰── GtkContainer ╰── GtkBox ╰── GtkAppChooserWidget
GtkAppChooserWidget implements AtkImplementorIface, GtkBuildable, GtkOrientable and GtkAppChooser.
GtkAppChooserWidget is a widget for selecting applications. It is the main building block for GtkAppChooserDialog. Most applications only need to use the latter; but you can use this widget as part of a larger widget if you have special needs.
GtkAppChooserWidget offers detailed control over what applications are shown, using the “show-default”, “show-recommended”, “show-fallback”, “show-other” and “show-all” properties. See the GtkAppChooser documentation for more information about these groups of applications.
To keep track of the selected application, use the “application-selected” and “application-activated” signals.
GtkWidget *
gtk_app_chooser_widget_new (const gchar *content_type
);
Creates a new GtkAppChooserWidget for applications that can handle content of the given type.
Since: 3.0
void gtk_app_chooser_widget_set_show_default (GtkAppChooserWidget *self
,gboolean setting
);
Sets whether the app chooser should show the default handler for the content type in a separate section.
Since: 3.0
gboolean
gtk_app_chooser_widget_get_show_default
(GtkAppChooserWidget *self
);
Returns the current value of the “show-default” property.
Since: 3.0
void gtk_app_chooser_widget_set_show_recommended (GtkAppChooserWidget *self
,gboolean setting
);
Sets whether the app chooser should show recommended applications for the content type in a separate section.
Since: 3.0
gboolean
gtk_app_chooser_widget_get_show_recommended
(GtkAppChooserWidget *self
);
Returns the current value of the “show-recommended” property.
Since: 3.0
void gtk_app_chooser_widget_set_show_fallback (GtkAppChooserWidget *self
,gboolean setting
);
Sets whether the app chooser should show related applications for the content type in a separate section.
Since: 3.0
gboolean
gtk_app_chooser_widget_get_show_fallback
(GtkAppChooserWidget *self
);
Returns the current value of the “show-fallback” property.
Since: 3.0
void gtk_app_chooser_widget_set_show_other (GtkAppChooserWidget *self
,gboolean setting
);
Sets whether the app chooser should show applications which are unrelated to the content type.
Since: 3.0
gboolean
gtk_app_chooser_widget_get_show_other (GtkAppChooserWidget *self
);
Returns the current value of the “show-other” property.
Since: 3.0
void gtk_app_chooser_widget_set_show_all (GtkAppChooserWidget *self
,gboolean setting
);
Sets whether the app chooser should show all applications in a flat list.
Since: 3.0
gboolean
gtk_app_chooser_widget_get_show_all (GtkAppChooserWidget *self
);
Returns the current value of the “show-all” property.
Since: 3.0
void gtk_app_chooser_widget_set_default_text (GtkAppChooserWidget *self
,const gchar *text
);
Sets the text that is shown if there are not applications that can handle the content type.
const gchar *
gtk_app_chooser_widget_get_default_text
(GtkAppChooserWidget *self
);
Returns the text that is shown if there are not applications that can handle the content type.
Since: 3.0
struct GtkAppChooserWidgetClass { GtkBoxClass parent_class; void (* application_selected) (GtkAppChooserWidget *self, GAppInfo *app_info); void (* application_activated) (GtkAppChooserWidget *self, GAppInfo *app_info); void (* populate_popup) (GtkAppChooserWidget *self, GtkMenu *menu, GAppInfo *app_info); };
“default-text”
property“default-text” gchar *
The “default-text” property determines the text
that appears in the widget when there are no applications for the
given content type.
See also gtk_app_chooser_widget_set_default_text()
.
Flags: Read / Write
Default value: NULL
“show-all”
property“show-all” gboolean
If the “show-all” property is TRUE
, the app
chooser presents all applications in a single list, without
subsections for default, recommended or related applications.
Flags: Read / Write / Construct
Default value: FALSE
“show-default”
property“show-default” gboolean
The ::show-default property determines whether the app chooser
should show the default handler for the content type in a
separate section. If FALSE
, the default handler is listed
among the recommended applications.
Flags: Read / Write / Construct
Default value: FALSE
“show-fallback”
property“show-fallback” gboolean
The “show-fallback” property determines whether
the app chooser should show a section for fallback applications.
If FALSE
, the fallback applications are listed among the other
applications.
Flags: Read / Write / Construct
Default value: FALSE
“show-other”
property“show-other” gboolean
The “show-other” property determines whether the app chooser should show a section for other applications.
Flags: Read / Write / Construct
Default value: FALSE
“show-recommended”
property“show-recommended” gboolean
The “show-recommended” property determines
whether the app chooser should show a section for recommended
applications. If FALSE
, the recommended applications are listed
among the other applications.
Flags: Read / Write / Construct
Default value: TRUE
“application-activated”
signalvoid user_function (GtkAppChooserWidget *self, GAppInfo *application, gpointer user_data)
Emitted when an application item is activated from the widget's list.
This usually happens when the user double clicks an item, or an item is selected and the user presses one of the keys Space, Shift+Space, Return or Enter.
self |
the object which received the signal |
|
application |
the activated GAppInfo |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run First
“application-selected”
signalvoid user_function (GtkAppChooserWidget *self, GAppInfo *application, gpointer user_data)
Emitted when an application item is selected from the widget's list.
self |
the object which received the signal |
|
application |
the selected GAppInfo |
|
user_data |
user data set when the signal handler was connected. |
Flags: Run First
“populate-popup”
signalvoid user_function (GtkAppChooserWidget *self, GtkMenu *menu, GAppInfo *application, gpointer user_data)
Emitted when a context menu is about to popup over an application item. Clients can insert menu items into the provided GtkMenu object in the callback of this signal; the context menu will be shown over the item if at least one item has been added to the menu.
Flags: Run First