vasco | procedural data-flow analysis framework using value | Code Analyzer library
kandi X-RAY | vasco Summary
kandi X-RAY | vasco Summary
VASCO is a framework for performing precise inter-procedural data flow analysis using VAlue Sensitive COntexts. The framework classes are present in the package vasco and are described in the paper: [Interprocedural Data Flow Analysis in Soot using Value Contexts] You can use these classes directly with any program analysis toolkit or intermediate representation, although they work best with [Soot] and it’s Jimple representation.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Performs a point - to - graph traversal
- Process a method invocation
- Sets the given field to the given value
- Sets the union of this graph to the given arguments
- Performs the analysis
- Creates a new context
- Create a new context for phantom method
- Adds a new edge between two sites
- Adds a new edge between a variable and a node
- Computes the intersection of two operands
- Returns the data flow function at the given statement
- Returns the dataflow function at the given statement
- This method will be called from an exit flow function
- Determine the intersection of the two operands
- Creates a hashCode for the call node
- Generates a hashCode representing the hashCode
- Resolve the virtual calls of a given unit
- Resolve the targets of a method
- Perform a local flow where the local flow is a local flow
- Returns a string representation of the heap
- Compares this object for equality
- Returns a point - to - graph of points
- Gets a data flow solution by analyzing all contexts
- Invoke the entry flow - flow function
- Get the entry flow function at the given flow method
- Transform the points to a context - sensitive call
vasco Key Features
vasco Examples and Code Snippets
Community Discussions
Trending Discussions on vasco
QUESTION
I am creating a converter by implementing IMultiValueConverter with *Convert(object[] values, Type targetType, object parameter, CultureInfo culture)
I am passing a List<(SomeEnumType, string)>
tuple.
via MultiBinding and on the converter side I would like to cast but it throws a casting error.
I tried :
var result = (List<(Enum, string)>)values[1];
but I got this casting issue:
'Unable to cast object of type 'System.Collections.Generic.List1[System.ValueTuple
2[Vasco.Basics.Contracts.CoreConfigurations.Enums.ApplicationType,System.String]]' to type 'System.Collections.Generic.List1[System.ValueTuple
2[System.Enum,System.String]]'.'
It is strange because If I pass only one element of SomeEnumType and try to case like (Enum)values[1]
casting works well.
When I pass a List
and try to cast like (List)values[1]
does not work already.
Thank you in advance!
...ANSWER
Answered 2021-May-15 at 10:27When I pass a List and try to cast like (List)values1 does not work already.
You generally aren't allowed to cast generic collections like List
or IEnumerable
to other types. This comes down to how C# and the compiler handle generics and something called Covariance and contravariance. This is an incredible complicated topic, at least for me, so I won't bogg you down with the fine details.
Consider the following situation.
QUESTION
I have a Fixture class which depends on 2 other classes. According to documentation, for doing so I need to implement the DependentFixtureInterface, and add a method getDependencies() returning them. And I did, however I'm getting an SQLSTATE[23000]: Integrity constraint violation: 1048 Column 'comunidad_autonoma_id' cannot be null
error. I already cleared and warmed up the cache, several times, but the error persists. What am I missing?
Here's my Fixture class...
...ANSWER
Answered 2020-Dec-20 at 20:21The Doctrine
error explicitly said that there is an Integrity constraint violation
. The column comunidad_autonoma_id
cannot be null. Either try to update you entity Provincia
to mark the field omunidadAutonoma
as nullable or check your dataset array to make sure that each comunidad_autonoma
has a corresponding record in your database.
QUESTION
I have this dataframe:
...ANSWER
Answered 2020-Dec-02 at 19:59I think you can to do two separate groupby:
QUESTION
I want to compare the output of a scalar function with a scalar value in a CHECK statement when creating a table, but it doesn't seem to do the right comparisons. I want the check statement to be "checked" if the scalar function returns 1. Is there any way to do this? (The function is called in the last check statement)
The statement runs successfully, and if I run the function out of the CHECK function it returns the right values (0 or 1), but when I insert data that satisfies 1 in the function returned value, errors are returned. This is my code and what I've tried,
...ANSWER
Answered 2020-Dec-01 at 00:44Marx,
I see no error with the CHECK statement in your table. See the dbfiddle here; it is working as intended, because the value you are trying to INSERT violates the CHECK statement and will not work.
If you click the link and scroll down, you see that based on the data you provided, there is no way for the function to return 1 for some of these rows. Namely, here is one example that fails:
QUESTION
I have this df:
...ANSWER
Answered 2020-Nov-13 at 00:33Adding the groupby
QUESTION
I have this df:
...ANSWER
Answered 2020-Nov-12 at 22:24Let us try
QUESTION
I have a text that sometimes may be too long for the screen and a exception is thrown when it is too long for the layout.
Here you have the code:
...ANSWER
Answered 2020-Oct-20 at 12:08Wrap in Expanded widget
QUESTION
I have this df, made of two appended dfs, where team values are repeated:
...ANSWER
Answered 2020-Oct-06 at 18:48Just merge instead of appending:
QUESTION
I have a df:
...ANSWER
Answered 2020-Oct-03 at 20:52import pandas as pd
df = pd.DataFrame([['Grêmio'],['Internacional'],['Palmeiras'],['Vasco'],['Coritiba']],columns = ['teams'])
next_round = {
'Grêmio':'Internacional', 'Palmeiras': 'Ceará',
'Bragantino': 'Corinthians', 'Botafogo': 'Fluminense',
'Flamengo': 'Athlético-PR','Coritiba': 'São Paulo',
'Bahia': 'Sport', 'Fortaleza': 'Atlético-GO',
'Goiás': 'Santos', 'Atlético-MG': 'Vasco'}
df['home_dummy'] = ['home' if x in next_round.keys() else 'away' for x in df['teams'] ]
df
teams home_dummy
0 Grêmio home
1 Internacional away
2 Palmeiras home
3 Vasco away
4 Coritiba home
QUESTION
I have this dict:
...ANSWER
Answered 2020-Sep-03 at 04:01Did you try:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install vasco
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page