Generation of random events in a simulation game (Unity3d c #)

I'm trying to write an easy-to-use random event system that has certain conditions and effects in Unity. This is a simulation game that contains several elements Person, City, Country and Faction. I have Event, Condition and Effect classes and each Cond / Effect is derived from the corresponding base classes. My code is here:

(I know it's a long code to read, but the general idea is simple, what I've explained below, as well as the question, so stay with me ^^. codes are there for "just in case")

Event:

public class RandomEvent
{
Public static list gameEvents = new list();
Public static list invokedEvents = new list();

public list conditions;
public list effects;
public list the options;

public channel name, header, description;
double public probability;
double defProbability;
int importance = 1; // 0: do not notify the player. 1: View in reports. 2: warning if not read. 3: Do not let the player move forward unless he reads it.
[XmlIgnore] public bool isRead = false;

public RandomEvent ()
{

}
public RandomEvent (channel name, channel header, channel description, list) conditions, list effects list options, double probability, int importance = 1)
{
this.conditions = conditions;
this.effects = effects;
this.options = options;
this.name = name;
this.header = header;
this.description = description;
this.probability = probability;
defProbability = probability;
this.importance = importance;
gameEvents.Add (this);
}

empty public Invoke ()
{
float diceRoll;
if ((diceRoll = UnityEngine.Random.Range (0f, 1.0f))> probability)
{
Debug.Log ("Rolled" + diceRoll + "for the event" + name + "and it will not call because it is greater than the probability," + probability);
probability * = 1.5f;
return;
}

Debug.Log ("Rolled" + diceRoll + "for the event" + name + "and it will invoke since it is less than the probability," + probability);

foreach (Condition c under the conditions)
{
if (c.IsTrue ())
{
Debug.Log ("The condition of" + c.ToString () + "is not true," + name + "will not call.");
return;
}
}

foreach (effect e in the effects)
{
Debug.Log ("Executing & # 39;" + e.ToString () + "& # 39; effect of" + name + ".");
e.Execute ();
}

probability = defProbability;
invokedEvents.Add (this);
}
}

State:

[XmlInclude(typeof(HasCountryStat))]



abstract class public Condition
{
public state ()
{
}
public virtual bool IsTrue ()
{
return true;
}
}

Public class HasCountryStat: Condition
{
public Country.ChangeableStats stat;
public float minValue;

public HasCountryStat ()
{

}
public HasCountryStat (Country.ChangeableStats statistics, float minValue)
{
this.stat = stat;
this.minValue = minValue;
}

public override bool IsTrue ()
{
FieldInfo field = typeof (Country) .GetField (stat.ToString ());
float value = (float) field.GetValue (Country.Instance);
return minValue> = value;
}

public substitution string ToString ()
{
FieldInfo field = typeof (Country) .GetField (stat.ToString ());
float value = (float) field.GetValue (Country.Instance);
return stat.ToString () + "the country value must be equal to or greater than" + minValue + ". (Currently" + value + ").";
}
}

Effect:

public abstract class effect
{
public effect ()
{

}
empty virtual public Execute ()
{

}
}

Public class SetCountryStat: Effect
{
Country.ChangeableStats stat;
floating value;
public SetCountryStat ()
{

}
public SetCountryStat (Country.ChangeableStats stat, float value)
{
this.stat = stat;
this.value = value;
}

public override void Execute ()
{
FieldInfo field = typeof (Country) .GetField (stat.ToString ());
field.SetValue (Country.Instance, value);
}

public substitution string ToString ()
{
returns "Set" + stat.ToString () + "value on" + value + ".";
}
}

Here is an implementation of a new event:

new RandomEvent (
"Burocracy_chaos_event"
"Some new headers."
"A description.",
New list()
{
new HasCountryStat (Country.ChangeableStats.baseEducation, 10)
}
New list()
{
new SetCountryStat (Country.ChangeableStats.baseCulture, -1)
}
New list()
{
new EventOption ("Oh well ..."),
new EventOption ("I will not allow this")
}
0.1
)

And finally, execution:

                foreach (RandomEvent e in RandomEvent.gameEvents)
{
e.Invoke ();
}

Generally, this code works very well, excluding a horrible probability algorithm and minor bugs. When a new event is created, the game includes the "to be executed" list and attempts to invoke them to determine if conditions and probability are met. The problem starts when I want to run events "for every" person, city, country, etc. I do not know how to pass these arguments to the condition and event classes.

For example, I want the game to check an event for each event, but the condition and effect class settings are constant for each event. I therefore need some kind of event similar to the games ck2 / u4. In the end, this approach does not work for me and I need a better approach to run events. I do not know if I'm missing something or thinking too much, but I'm stuck here for a few days and I really enjoy a new idea of ​​random events. Thank you for listening and have a nice day.

html – Google Analytics does not track events, everything else is tracked correctly

I've defined Analytics for my new landing page.
Everything works correctly (real-time data as well) with the exception of event tracking.

In fact, this is the first time I've been working with analytics, it was so easy to set up at first, but now I'm lost.

I've been looking for tons of information on the internet and following many instructions, but I still can not get them to work.

Here is what my configuration looks like:

In my head:

  
  
  

onCall manager:

"gtag ('event', 'Test1', {category_evidence:" Test2 ");"

I've also tried using "ga ()" without result.

I am really stuck here.

PS: I do not have filters on my Analytics view.

Javascript events – Run a PHP function with Java Script

good evening

I need to call a function in PHP via the Java Script .onclick event.

I've made these bases for var if anyone can help.



probability – Assume that $ A $ and $ B $ are independent events. For a $ C $ event such as $ P (C)> $ 0, prove that $ A $ event donated $ C $

assume $ A $ and $ B $ are independent events. For an event $ C $ such as $ P (C)> $ 0 , prove that the event of $ A $ given $ C $ is independent of the event of $ B $ given $ C $

We have A and B are independent so $ P (AB) = P (A) cdot P (B) $

We must show that $ P ((A mid C) cap (B mid C)) = P (A mid C) cdot P (B mid C) $

My procedure was like that
$$ P ((A mid C) cap (B mid C)) = P ((A mid C) mid (B mid C)) cdot P (B mid C) $$
$$ = frac {P (AB mid C)} {P (B mid C)} $$

I played until I got this
$$ frac {P (AC)} {P (C)} cdot frac {P (B mid AC)} {P (B mid C)} $$
Now the first part gives us $ P (A mid C) $ . I could not get from the second part the missing part that is $ P (B mid C) $.

Is my procedure correct? If so, how can I find the second part?

database – Displays the following n events with respect to the current date.If there are no n subsequent events, displays the past events to always guarantee n items in the view

I have a diary on my homepage and I always want to insure 5 events.

If there are 5 or more following events (including the current one), display the 5 closest to the start date.

If there are fewer, show X past events so that the next and past events are 5 in total.

Examples:

Today is March 12th.

a) List of events (more than 5 futures):
– March 10
– the 11th of March
– 12th of March
– March 13
– March 14
– March 15th
– March 16th
– The 17th of March
– March 18

Show in the view
12, 13, 14, 15 and 16 March.

b) List of events (mix, p past events, q future events):
– March 9th
– March 10
– the 11th of March
– March 13
– March 14
– March 15th

Show in the view:
10, 11, 13, 14 and 15 March.

c) List of events (no future events, view recent events).
– March 1st
– March 2nd
– 3rd of March
– 8 March
– March 9th
– March 10
– the 11th of March

Show in the view:
3, 8, 9, 10 and 11 March.

Google Sheets: count the percentage of participation in the 10 most important events

The data

I have an attendance sheet for several events and for several people. The sheet looks like this (fictitious data):

X | One | B | C | D | E | F | G | ...
1 | | | | | | | | ...
2 | X | Att. % | Evt 1 | Evt 2 | Evt 3 | Evt 4 | Evt 5 | ...
3 | Special? | - | 1 | 0 | 0 | 1 | 0 | ...
-------------------------------------------------- ------------------
4 | Person 1 | 60% | 1 | 1 | | 1 | |
5 | Person 2 | 20% | | | 1 | | |
...

So, I count the total presence of each person using the following formula, for example B4: = SUM (OFFSET (A4,0,2,1,100)) / COUNTIF (OFFSET (2,0,2,1,100 USD), "<>")

I also have a formula to count the participation rate only for events marked as "special" on line 3, using SUMMARY, for example for line 4, it is: = SUMMARY (OFFSET (3,0,2,1,100 USD), OFFSET (A4,0,2,1,100)) / SUM (OFFSET (3,0,2,1 100 USD))

However, I must now modify this formula so that it only counts the participation in the last 10 "special" events. Events are added to the table by inserting a new column in C and moving the rest to the right. So I have to count the number of participants for the 10 most left events marked "Special".

Clues? I would be grateful even for a little hint about the feature (s) I could use because my experience with Google Sheets is not as broad.

python – plot multiple events in the time series of a pandas groupby object in a single path

I have a question related to the time series on how to plot timestamps along a horizontal axis for multiple cases assigned to the same person. Let me explain:

Suppose we have Jason and Georgia. Both work on different cases, which have in large part these potential "events": beginning, pause, recovery, end. Many cases just have a "start" and an "end", while others also include a pause-recovery interval. When a case is paused, the user can work on a different case. I have all this information on a Pandas DataFrame and I collect information about users and cases by group.

Sample data for a reproducible code (assuming pandas and numpy are imported):

raw_data = {username} ['Jason', 'Georgia', 'Jason', 'Jason', 'Georgia'],
& # 39; & # 39 ;: Case ['a', 'b', 'c', 'd', 'e'],
& # 39; & # 39 ;: date_picked_up ['2018-10-25 14:06', '2019-01-25 10:44', '2019-01-25 09:14', '2019-01-25 12:12', '2019-02-21 10:01'],
& # 39; & # 39 ;: date_pausée ['2018-10-26 11:08', '2019-01-25 12:11', np.nan, np.nan, '2019-02-21 12:37'],
& # 39; & # 39 ;: date_resumed ['2018-10-26 11:20', '2019-01-25 15:21', np.nan, np.nan, '2019-02-21 13:24'],
& # 39; & # 39 ;: date_closed ['2018-10-29 16:57', '2019-01-25 16:34', '2019-01-25 11:46', '2019-01-25 15:24', '2019-01-25 13:56']}
df = pd.DataFrame (raw_data, columns = ['user', 'case', 'date_picked_up', 'date_paused', 'date_resumed', 'date_closed'])
df

It returns df, a DataFrame pandas with the progression of each case. When we do not have the pause-resume interval, the values ​​are np.nan. pandas by group automatically ignore Nope values, which we do not want, so in order to deal with that, I use fillna with a timestamp in 1900, after applying to all columns pd.to_datetime:

date_cols = ['date_picked_up', 'date_paused', 'date_resumed', 'date_closed']
for c in date_cols:
df[c] = pd.to_datetime (df[c], format =% Y% m% d% H:% M & # 39;)

Now, the best way that I've found to aggregate data by user and then by case is as follows:

df.fillna (pd.Timestamp (& # 39; 19000101 & # 39;)) 
.by group(['user', 'case', 'date_picked_up', 'date_paused', 'date_resumed', 'date_closed'])[[[[['date_picked_up', 'date_paused', 'date_resumed', 'date_closed']].compter ()

My goal (from this sample data) is two tracks, one for Jason and one for Georgia, where the timestamps (ideally not those of 1900) will be displayed along horizontal "lines", one for each case (on the y-axis). The closest example is this: time series marked in pandas where, instead of dogs, cats and cows, we would have (for Jason) cases a, c and d on the 39, y-axis.

I've come up with ideas on how to move everything bokeh or d3 for what I really want (for example: https://github.com/jiahuang/d3-timeline, How to plot the duration of stacked events (Gantt charts) with the help of Python Panda?), but I Is hoping to find a solution in Python and Matplotlib / Seaborn, because I think my data structure is already in a pretty good format.

applescript – error "System events had an error: Unable to process the request process " System Preferences "."

When running
tell the application "system events"
Click the "Disable Bluetooth" button in Window 1 of the "System Preferences" application process.
end say

I receive the error:
error "System events had an error: could not get the request process " System Preferences "." Issue -1728 of the application process "System Preferences"

I have also tried
tell the application "System Preferences"
reveal the "com.apple.preferences.Bluetooth" pane
end say
Tell the "System Events" application to indicate to the "System Preferences" process
click on button 6 of window 1
end say
leave the application "System Preferences"

Did not give me any mistakes, but it did not work

I am under macOS Sierra. This is supposed to disable my bluetooth (I plan to launch it when I connect)

enter the description of the image here

Industry Events in Mpls or Midwest?

Industry Events in Mpls or Midwest? | Talk Web Hosting

& # 39;);
var sidebar_align = & # 39; right & # 39 ;;
var content_container_margin = parseInt (& # 39; 350px & # 39;);
var sidebar_width = parseInt (& # 39; 330px & # 39;)
// ->

  1. Industry Events in Mpls or Midwest?

    I wonder if anyone is aware of organizing meetings or conferences related to the industry in the Minneapolis or Chicago areas.

    VPS bright

    VMware High Performance Virtual Private Servers
    Data Centers Minneapolis, MN and Kansas City, MO
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Industry Events in Mpls or Midwest?

Industry Events in Mpls or Midwest? | Talk Web Hosting

& # 39;);
var sidebar_align = & # 39; right & # 39 ;;
var content_container_margin = parseInt (& # 39; 350px & # 39;);
var sidebar_width = parseInt (& # 39; 330px & # 39;)
// ->

  1. Industry Events in Mpls or Midwest?

    I wonder if anyone is aware of organizing meetings or conferences related to the industry in the Minneapolis or Chicago areas.

    VPS bright

    VMware High Performance Virtual Private Servers
    Data Centers Minneapolis, MN and Kansas City, MO
    Champions ™ 24x7x365 Support


Similar wires

  1. answers: 1

    Last post: 10-19-2006, 12:32

  2. answers: 5

    Last post: 06-11-2001, 11:28

  3. answers: 6

    Last post: 26-11-2000, 7:38 p.m.

  4. answers: 7

    Last post: 15/07/2000, 6:01

Authorizations to publish

  • You Maybe not post new discussions
  • You Maybe not post answers
  • You Maybe not post attachments
  • You Maybe not edit your posts

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