I think I have a general problem with understanding the structure of matches and the scope in which variables of the match live.
The specific piece of code where I have the problem with is this:
// S sentiment toward A goodFor/badFor T
// => S sentiment toward the idea of A goodFor/badFor T
MATCH (S:A)-[:SOURCE]->(sent1:PS {type:"sentiment"})-[:TARGET]->(gfbf:E {type:"gfbf"}) , (A)-[:SOURCE]->(gfbf)-[:TARGET]->(T) , (Writer:A {type:"writer"})
// if there is some negative belief in any of the writers private state spaces that involve gfbf then inference is blocked
WHERE NOT (Writer)-[*1..]->({type:"believesTrue" , spec:FALSE})-[*1..]->(gfbf)
// if sent1 is in some private state spaces of the writer return all of these
OPTIONAL MATCH p=(Writer)-[*]->(sent1)
WITH NODES(p)[1..-1] AS ps_nodes
WHERE ALL(x IN ps_nodes[1..] WHERE LABELS(x) = "PS")
MERGE (S)-[:SOURCE]->(sent2:PS {type:"sentiment" , spec:(sent1.spec)})-[:TARGET]->(ideaOf:I {name:"ideaOf" , type:"ideaOf"})-[:TARGET]->(gfbf)
ON CREATE SET sent2.name =
CASE sent2.spec
WHEN FALSE THEN "-S"
ELSE "+S"
END
RETURN p
I think it's not relevant to understand what this is for. It suffices to see the structure I assume, but basically what it does is: It looks for a subgraph where there is path S-->sent1-->gfbf and also a path A-->gfbf-->T. If it finds that is makes a new path A-->sent2-->ideaOf-->gfbf, all he while setting the properties of the new nodes depending on the properties of the nodes from the match. Furthermore it looks whether it also has a path writer-->...-->sent where all nodes in the ... part have label PS. If it finds that path then it returns this for further operations in a different part of the program.
The error I am getting is this:
py2neo.cypher.error.statement.InvalidSyntax: sent1 not defined (line 6, column 58 (offset: 421))
"MERGE (S)-[:SOURCE]->(sent2:PS {type:"sentiment" , spec:(sent1.spec)})-[:TARGET]->(ideaOf:I {name:"ideaOf" , type:"ideaOf"})-[:TARGET]->(g"bf)
Why is sent1 no longer defined where I use it and how would I need to restructure the code to make it valid?
sent1 in isn't in the prior WITH - change it so:
WITH NODES(p)[1..-1] AS ps_nodes, sent1
Related
I am trying to set up a model for a dynamic optimisation problem with pyomo.DAE.
I defined my state variable as well as it's corresponding Derivative (both indexed by m.Time). I then set up a simple constraint that expresses the relationship between state and derivative variable in the most simple terms. Solving the problem with a dummy objective (so just testing the constraint), I get the following error:
ERROR: Model contains an expression (calc_my_state[0])
that contains a variable (derivative_var[0]) that is not
attached to an active block on the submodel being written
Here's an excerpt of what I wrote:
(.....)
m.state_var = Var(m.Time, initialize=0)
m.derivative_var = DerivativeVar(m.state_var, wrt=m.Time)
def calc_my_state(m,i):
return m.derivative_var[i] == m.state_var[i]*2
m.calc_my_state = Constraint(m.Time, rule=calc_my_state)
m.obj = Objective(expr=1)
opt = SolverFactory("glpk")
results = opt.solve(m)
I tried to reproduce the simple setup of an DAE in pyomo, more or less copied and pasted lines from the pyomoDAE docu.
I printed derivative_var.get_state_var() and it gives me the right state variable without error.
I also tried solving simple DAE examples that I found on the internet and solving them with my solver settings worked fine as well.
What am I missing? I am grateful for any input!!! Thanks!
I found the missing link: I did not specify the "Discretization Transformation". Once something like the following was added, the script ran without error!
discretizer = TransformationFactory('dae.finite_difference')
discretizer.apply_to(m, wrt=m.Time)
I've been defeated by Kusto on what I thought to be a simple query...
I'm making my first workbook and playing with parameters. I can list and select a Resource Group, but I can't make the following parameter (Virtual Machines) populate with the VMs when more than one Resource Group is selected. The ResourceGroup passes a comma delineated string of the group names as a property resourcegroup just fine. I cannot figure out how to translate that string into a usable where-statement. My query works just fine when I manually string several Resource Groups together so I assume I'm getting burned by my understanding of let and arrays in Kusto. If there is a better way of doing what I'm trying to do, please let me know.
//This will work so long as 1 Resource Group is passed from the previous parameter
resources
| where resourceGroup in ('{ResourceGroup:resourcegroup}') and type =~ microsoft.compute/virtualmachines'
| project value = id , label = name
I've figured out I can get a proper array with split('{ResourceGroup:resourcegroup}',","), but, again, I haven't been able to marry up that object with a where-statement.
Any help is much appreciated!
in https://github.com/microsoft/Application-Insights-Workbooks/blob/master/Documentation/Parameters/DropDown.md#special-casing-all
NORMALLY there is a way to do this:
let resourceGroups = dynamic([{ResourceGroup:resourcegroup}]);// turns even an empty string into a valid array
resources
| where (array_length(resourceGroups)==0 // allows 0 length array to be "all"
or resourceGroup in (resourceGroups)) // or filters to only those in the set
and type =~ microsoft.compute/virtualmachines'
| project value = id , label = name
however, i don't think Azure Resource Graph allows using let this way?
if you get an error that let isn't allowed, you'll have to do that dynamic thing inline a couple times instead:
resources
| where (array_length(dynamic([{ResourceGroup:resourcegroup}]))==0 // allows 0 length array to be "all"
or resourceGroup in (dynamic([{ResourceGroup:resourcegroup}]))) // or filters to only those in the set
and type =~ microsoft.compute/virtualmachines'
| project value = id , label = name
I'm using tf.summary.histogram(var_name, var, family='my_family') to log a histogram. In the tensorboard interface it appears as
my_family/my_family/var_name
Does anybody know what the logic is behind duplicating the family name?
It does seem intentional, as I find the following in tensorflow/tensorflow/python/ops/summary_op_util.py :
# Use family name in the scope to ensure uniqueness of scope/tag.
scope_base_name = name if family is None else '{}/{}'.format(family, name)
with ops.name_scope(scope_base_name, default_name, values) as scope:
if family is None:
tag = scope.rstrip('/')
else:
# Prefix our scope with family again so it displays in the right tab.
tag = '{}/{}'.format(family, scope.rstrip('/'))
The first time family is inserted in scope_base_name = name if family is None else '{}/{}'.format(family, name), and the second time in tag = '{}/{}'.format(family, scope.rstrip('/')), which according to the comments in the code was deliberate.
I too was frustrated by this, but in the context of using tf.summary.scalar. I've resorted to using:
tf.summary.scalar('myfamily/myname', var)
Now the variables show up in Tensorboard without the duplication of the family name.
P.S. I would have made this a "comment" instead of an answer, but my reputation is too low.
I have a subject like "accessTo" = ["123", "123-edit"]
and a resource like "interestedId" = "123"
Now I'm trying to write a condition - where it checks "interestedId" concatenated with "-edit" equals "123-edit" in "AccessTo".
Im trying to write rule like this
anyOfAny_xacml1(function[stringEqual], "accessTo", "interestedId"+"-edit")
It is not allowing to do this.
Any help is appreciated.
In addition to the answer from Keerthi S ...
If you know there should only be one value of interestedId then you can do this to prevent the indeterminate from happening:
stringBagSize(interestedId) == 1 && anyOfAny(function[stringEqual], accessTo, stringOneAndOnly(interestedId) + "-edit")
If more than value is present then evaluation stops prior to reaching the function that expects only one value. This condition would return false if more than one value is present.
On the other hand if interestedId can have multiple values then this would work:
anyOfAny(function[stringEqual], accessTo, map(function[stringConcatenate],interestedId, "-edit"))
The map function will apply the stringConcatenate function to all values in the bag.
Since Axiomatics products are compliant with XACML specification, all attributes by default are assumed to contain multiple values(called as 'bags').
So if you would like to append a string to an attribute use stringOneAndOnly XACML function for the attribute to indicate that the attribute can have only one value.
So assuming you mean accessTo has attribute ID as Attributes.access_subject.subject_id, interestedId has the attribute ID as Attributes.resource.resource_id and anyOfAny_xacml1 is equivalent to anyOfAny XACML function, the resulting condition would look like,
anyOfAny(function[stringEqual], Attributes.access_subject.subject_id, stringOneAndOnly(Attributes.resource.resource_id) + "-edit")
I am new to coding, and would like help in understanding the script used by the PsychoPy program.
To be more specific, I would like to understand the codes that are in line 6 to 15. I am aware that this is used to manage the multiple trials, but I am hoping someone can help me clarify those bits? I also noted that removing the codes from line 6-8 doesn't change the experiment, but removing the codes from line 10-15 essentially stop the experiment from running.
trialsAll = data.TrialHandler(trialList=data.importConditions('trialType.xlsx'), nReps=10, method='random', name='trialsAll', dataTypes='corr')
thisExp = data.ExperimentHandler(name='Ours')
thisExp.addLoop(trialsAll) #adds a loop to the experiment
thisTrial = trialsAll.trialList[0]
if thisTrial != None:
for paramName in thisTrial.keys():
exec(paramName + '= thisTrial.' + paramName)
# Loop through trials
for thisTrial in trialsAll:
currentLoop=trialsAll
if thisTrial != None:
for paramName in thisTrial.keys():
exec(paramName + '=thisTrial.' + paramName)
My second question would be about getting responses. Is there a reason that thisResp is equalled to None?
#get response
thisResp=None
while thisResp==None:
allKeys=event.waitKeys()
Thanks a lot for any help. I appreciate it.
Regards,
Cash
if thisTrial != None:
for paramName in thisTrial.keys():
exec(paramName + '= thisTrial.' + paramName)
This code allows the use of abbreviations. For example, say your conditions file has a field called 'angle', you can refer to this directly rather than via the keys of that trial's dictionary (e.g. thisTrial['angle'] ) or using dot notation ( thisTrial.angle ). i.e., in this example:
angle = thisTrial.angle
for thisTrial in trialsAll:
is fundamental to running a psychoPy trial loop. It will cycle though each trial that is contained in the TrialHandler object that is created to manage trials, connected to a given conditions file.
#get response
thisResp=None
while thisResp==None:
allKeys=event.waitKeys()
The line 'while thisResp==None:' requires that the variable 'thisResp' actually exists if we are going to be able to check its value. So in the immediately preceding line, it is created and given an initial null value so that the next line will run OK. Note that at this stage, it is just an arbitrary variable, which doesn't have any actual connection to the subject's response. That will presumably occur later in the code, when it gets assigned a value other than None.