When i use a NumericalValueSpecification to init value for an ApplicationPrimitiveDataType of category 'BOOLEAN' with a NonqueuedSenderComSpec, it can correctly generate RTE codes without any compilation error, but as [constr_1221] said, if a DataPrototype is typed by an ApplicationPrimitiveDataType its initValue shall be provided by an ApplicationValueSpecification. So, does [constr_1221] apply to Initial Value Representation at level 2?
Yes, any DataPrototype that is typed by an ApplicationDataType shall only be initialized by means of an ApplicationValueSpecification. A NumericalValueSpecification or TextValueSpecification can be used to initialize a DataPrototype typed by an ImplementationDataType.
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Is there a neat solution to raise an error if a value is passed to the NamedTuple field that does not match the declared type?
In this example, I intentionally passed page_count str instead of int. And the script will work on passing the erroneous value forward.
(I understand that linter will draw your attention to the error, but I encountered this in a case where NamedTuple fields were filled in by a function getting values from config file).
I could check the type of each value with a condition, but it doesn't look really clean. Any ideas? Thanks.
from typing import NamedTuple
class ParserParams(NamedTuple):
api_url: str
page_count: int
timeout: float
parser_params = ParserParams(
api_url='some_url',
page_count='3',
timeout=10.0,
)
By design, Python is a dynamically typed language which means any value can be assigned to any variable. Typing is only supported as hints - the errors might be highlighted in your IDE, but they do not enforce anything.
This means that if you need type checking you have to implement it yourself. On the upside, this can probably be automated, i.e. implemented only once instead of separately for every field. However, NamedTuple does not provide such checking out of the box.
In statsmodels.nonparametric.kernel_regression.KernelReg class, we have one parameter called ckertype which is used for user to specify kernel name. (I think by default the value is "gaussian"). I want to ask what else valid values for such ckertype parameter ? It seems the official documents is missing that part. I actually want to specify a "uniformed" distribution for such parameter, anyone can guide me how to do that please ?
https://www.statsmodels.org/dev/generated/statsmodels.nonparametric.kernel_regression.KernelReg.html
I'm new to JMeter so this question may sound absolutely dumb...
I have a loop in which a variable (let's say it is called "raw") is being changed and written to file every iteration. The variable contains HTML encoded text so it has to be converted into plain text. I found out this can be done using __unescapeHtml function. When I tried using it worked but I ended up always receiving the same text as on the first iteration. Then I learned that I have to use vars.get instead of ${} to access a variable. So I changed ${__unescapeHtml("${raw}")} to ${__unescapeHtml(vars.get("raw")} which kind of helped: vars.get is getting the new value of raw each iteration but __unescapeHtml didn't work at all now - it just returns the encoded text from raw. I didn't succeded finding anything about this exact problem so I'm kind of stuck.
Ended up using
import org.apache.commons.lang3.StringEscapeUtils
...
StringEscapeUtils.unescapeHtml4(vars.get("raw"))
Don't know if it is a good way to do this but at least it works.
I assume, that you are using the expression ${...} inside a JSR-223 sampler or similar context. The user manual for JSR-223 Sampler states, that those scripts can be cached by JMeter. That is why you only get the values from the first time the context gets created.
The same is true for simple variable evaluations as ${varname}, as for function calls like ${__unescapeHtml(...)}.
The solution here is:
don't use ${...} inside of JSR-223 contexts, that might be cached.
you can however pass those expressions (${...}) into the context by using them as parameters through the input labeled Parameters on the JSR-223 Sampler – again assuming, that you are using it.
you can use the features, that your chosen JSR-223 context gives you, as you have done, by using the StringEscapeUtils#unescapeHtml4
I have a dataset with data collected from a form that contains various date and value fields. Not all fields are mandatory so blanks are possible and
in many cases expected, like a DeathDate field for a patient who is still alive.
How do I best represent these blanks in the data?
I represent DeathDate using xsd:dateTime. Blanks or empty spaces are not allowed. All of these are flagged as invalid when validating using Jena RIOT:
foo:DeathDate_1
a foo:Deathdate ;
time:inXSDDatetime " "^^xsd:dateTime .
foo:DeathDate_2
a foo:Deathdate ;
time:inXSDDatetime ""^^xsd:dateTime .
foo:DeathDate_3
a foo:Deathdate ;
time:inXSDDatetime "--"^^xsd:dateTime .
I prefer to not omit the triple because I need to know if it was blank on the source versus a conversion error during construction of my RDF.
What is the best way to code these missing values?
You should represent this by just omitting the triple. That's the meaning of a triple that's "not present": it's information that is (currently) unknown.
Alternatively, you can choose to give it the value "unknown"^^xsd:string when there's no death date. The solution in this case is to not datatype it as an xsd:dateTime, but just as a simple string. It doesn't have to be a string of course, you could use any kind of "special" value for this, e.g. a boolean false - just as long as it's a valid literal value that you can distinguish from actual death dates. This will solve the parsing problem, but IMHO if you do this, you are setting yourself up for headaches in processing the data further down the line (because you will need to ask queries over this data, and they will have to take two different types of values into account, plus the possibility that the field is missing).
I prefer to not omit the triple because I need to know if it was blank
on the source versus a conversion error during construction of my RDF.
This sounds like an XY problem. If there are conversion errors, your application should signal that in another way, e.g. by logging an error. You shouldn't try to solve this by "corrupting" your data.
According to a std_files.e that I have found, read_character requires not end_of_file, but it doesn't specify any post-condition; and last_character has no preconditions. Therefore, what happens if you call last_character before calling read_character?
last_character will give a default value '%U' unless there is some unusual code around, e.g. the code that redefines this feature or accesses an object input on STD_FILES and reads something without using STD_FILES, etc.