How to get the cheapest N results? - sabre

By default, Sabre does not return the cheapest results. It returns some sort of different price categories. How can I get the cheapest N (20, 50, 100, ...) prices?
This is my code:
"TPA_Extensions": {
"IntelliSellTransaction": {
"RequestType": {
"Name": "20ITINS"
}
}
},

Related

Using fold together with enumerate to find max values in a selection of elements of a flattened vector

I am learning Rust and came upon a problem that I can easily solve by using nested loops with conditions. Unfortunately I fail miserably when trying to rewrite it using more idiomatic rust by the use of iterators and and things like fold, filter and flatten.
I have a vector of vectors of structs. Each struct has an identifier and a value. For each possible identifier I want to find the maximum value and return everything in a new vec of max values. The code below works fine.
struct MyStruct {
id: usize,
value: usize,
}
fn main() {
let vecvec_of_structs = vec![
vec![
MyStruct { id: 2, value: 1 },
MyStruct { id: 1, value: 15 },
MyStruct { id: 0, value: 31 },
],
vec![
MyStruct { id: 3, value: 10 },
MyStruct { id: 4, value: 25 },
MyStruct { id: 0, value: 150 },
MyStruct { id: 2, value: 150 },
],
];
let groups = 5;
let mut max_values_by_id: Vec<usize> = vec![0; groups];
// iterate over group_ids, in structs with respective group_id to find max value associated with it.
for id in 0..groups {
for vec_of_structs in &vecvec_of_structs {
for s in vec_of_structs {
if s.id == id {
if max_values_by_id[id] < s.value {
max_values_by_id[id] = s.value
};
}
}
}
}
println!("{:?}", max_values_by_id);
}
Now I tried to rewrite it like the piece below, that I am stuck with and which doesn't work. I don't know how to combine the different pieces. Or maybe they are not supposed to fit together in the first place.
let max_delay: Vec<usize> = max_values_by_node
.iter()
.enumerate()
.fold(0, |max_value, i| {
&vecvec_of_structs
.into_iter()
.flatten()
.filter(|e| e.id == i)
.max_by_key(|e| e.value)
.unwrap()
.value
})
.collect();
I would do something like this.
I start from the end: we want to collect five numbers.
For each of them considered as an id, we have have to iterate over all the structs: map() + iter() + flatten()
For each struct, we are only interested in the specific id, then we get its value: filter_map()
These values, if any, have to be folded.
let max_delay: Vec<usize> = (0..5)
.map(|i| {
vecvec_of_structs
.iter()
.flatten()
.filter_map(|s| if s.id == i { Some(s.value) } else { None })
.fold(0, |acc, value| acc.max(value))
})
.collect();

trying to remove item from vector and this error came out: C2676 binary '=='

for (Node &i : myNodes){
if (CheckCollisionPointCircle(Vector2{ (float)(GetMouseX()),(float)(GetMouseY()) }, Vector2{ (float)(i.X),(float)(i.Y) }, i.radient)) {
auto index = std::find(myNodes.begin(), myNodes.end(), i);
myNodes.erase(index);
}
}
trying to remove a Node from vector of nodes if the CheckCollisionPointCircle() returns true
for (auto iter = myNodes.begin(); iter != myNodes.end();) {
if (CheckCollisionPointCircle(Vector2{ (float)(GetMouseX()),(float)(GetMouseY()) }, Vector2{ (float)(iter->X),(float)(iter->Y) }, iter->radient)) {
iter = myNodes.erase(iter);
}
else {
++iter;
}
}

Get All total value inside the child value Firebase? [closed]

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I have create school database on the firebase, I want to sum all the same keys of the one school. Like School1 have Subject key , inside Subject have students : name1, name2 , etc and each student have same subjects "AAA" , "BBB" , "CCC", now I want to sum of the subject "AAA", Can you help me how can sum of the value "AAA" keys
{
"School1": {
"Subject": {
"Name1": {
"AAA": 50,
"BBB": 60,
"CCC": 70,
"DDD": 80
},
"Name2": {
"AAA": 50,
"BBB": 60,
"CCC": 70,
"DDD": 80
},
"Name3": {
"AAA": 50,
"BBB": 60,
"CCC": 70,
"DDD": 80
}
}
},
"School2": {
"Subject": {
"Name1": {
"AAA": 50,
"BBB": 60,
"CCC": 70,
"DDD": 80
}
}
}
}
Output result of AAA:
School1:
AAA : 150
Here is how to go about it.
DatabaseReference aaa = FirebaseDatabase.getInstance().getReference().child("School1").child("Subject");
aaa.addListenerForSingleValueEvent(new ValueEventListener() {
#Override
public void onDataChange(#NonNull DataSnapshot dataSnapshot) {
int sum = 0;
for (DataSnapshot child : dataSnapshot.getChildren()) {
sum = (int) child.child("AAA").getValue() + sum;
}
Toast.makeText(MainActivity.this, "Total Sum is "+ sum, Toast.LENGTH_SHORT).show();
}
#Override
public void onCancelled(#NonNull DatabaseError databaseError) {
}
});

Chart.js - Define custom y-axis scale

I am working with Chart.js on Asp.Net and I have a bar chart. My dataset has not very close numbers so I can not determine any fixed stepSize for this dataset.
My dataset like that;
[105000,200000,310000,0.0002]
So, y-axis range seems like that [0 - 100000 - 200000 - 300000 ...] but I want to show it like that [ 0 - 0.005 - 100000 - 200000 - 300000 ...].
My chart options :
options = {
scales: {
yAxes: [{
ticks: {
beginAtZero: true,
responsive: true,
mainAspectRatio: false
}
}]
}
}
I tried to add to options "suggestedMin: 0.005" but y-axis values didn't change.
How can I define custom scale for y-axis?
Try to use the callback property:
options = {
scales: {
yAxes: [{
ticks: {
beginAtZero: true,
responsive: true,
mainAspectRatio: false,
callback: (v) => !!~[0, 0.005, 100000, 200000, 300000].indexOf(v) ? v : '',
min: 0,
max: 300000,
step: 0.005
}
}]
}
}

C3.js sub plot ticks

I am using EON plot (which is just using c3.js) to plot real-time timeseries graphs. I am using the subplot because I want to be able to see 12 hours of data at once. However, I have a issue where there are way to many ticks on the subplot or way to few on the main plot. How can I specify a different tick style for each? I am trying to do this in the subplot, but it doesn't work. Below is my generate call and a screenshot (note how the ticks in the subplot make a giant smear). What I would like to do is just have 12 ticks/labels shown in each plot regardless of the data that is being shown.
generate: {
transition: {
duration: 3
},
bindto: '#TimeSeries',
point: {
show: false
},
data: {
x: 'x'
},
subchart: {
show: true,
tick: {
count: 12,
format: '%H:%M',
culling: {
max: 12 // the number of tick texts will be adjusted to less than this value
}
}
},
zoom: {
enabled: false
},
axis: {
x: {
type: 'timeseries',
tick: {
count: 24,
format: '%H:%M',
culling: {
max: 12 // the number of tick texts will be adjusted to less than this value
}
}
}
}
},

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