callee | Argument matchers for unittest.mock
kandi X-RAY | callee Summary
kandi X-RAY | callee Summary
Argument matchers for unittest.mock
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of callee
callee Key Features
callee Examples and Code Snippets
function addHelper() {
var _args = arguments;
return function() {
if(!arguments.length) {
var result = 0;
for(var i = 0, c; c = _args[i++];) {
result += c;
}
console.log(
Community Discussions
Trending Discussions on callee
QUESTION
Comming from Common Lisp, I'm trying to use let to shadow the value of a global variable dynamically.
...ANSWER
Answered 2022-Mar-25 at 14:37There's no built-in way to give a global variable a dynamically scoped temporary value in Python (and Hy doesn't add a macro for it or anything), so you have to do it yourself:
QUESTION
I would like to introspect the tail end of a method call from the callee side.
Right now I am doing this explicitly...
...ANSWER
Answered 2022-Mar-29 at 21:11Per @jonathans comment, the raku docs state:
A method with the special name FALLBACK will be called when other means to resolve the name produce no result. The first argument holds the name and all following arguments are forwarded from the original call. Multi methods and sub-signatures are supported.
QUESTION
I want to use SQL to analyze this call data I have. The main question I want to answer is: If a caller dials a number and doesn't get a response the first time, does the value of some_factor
(boolean column) impact the probability of the caller getting a response when redialing the same number later?
Here are the columns in this table:
...ANSWER
Answered 2022-Mar-07 at 18:23As I understand in the second query you're not interested in the results returned by the subquery itself. So the count is as a result larger by the amount of distinct phone numbers returned by the subquery. You only need to subtract that number:
QUESTION
I am new to Node.JS. I am knocking some utility functions for an existing application. I have added these functions:
...ANSWER
Answered 2022-Mar-05 at 08:14I am not sure if you will be able to do this easily.
I prepared a solution, but I am not sure if you will like it :D
QUESTION
As the title suggests, I'm trying to call a function on already deployed contract with a very simple String return function.
Deployed contract1 function:
...ANSWER
Answered 2022-Feb-21 at 21:08This means that your sub contract, the one that is holding "pub fn test" has panicked.
The way to debug this is to start your substrate node with:
QUESTION
I am failing to implement a numba jitted priority queue.
Heavily plagiarized from the python docs, I am fairly happy with this class.
...ANSWER
Answered 2021-Sep-15 at 10:48This was not possible due to several issues in numba, but should be fixed for the next release (0.55) if I understood correctly. As a workaround for now, I could get it working by compiling llvmlite 0.38.0dev0 and the master branch of numba. I do not use conda but it is apparently easier to get pre-releases of llvmlite and numba this way.
Here is my implementation:
QUESTION
I have 2 tables, customers (3000 rows) and phone_call_log (350 000 rows).
I need to materialize the time of last call to each customer, using the call log (faster for frontend searches)
Indexes are on:
- start_time (timestamp)
- callee(bigint(32) unsigned)
- caller(bigint(32) unsigned)
- phonenumber(bigint(32) unsigned)
- last_call(timestamp)
Running this query without the OR statement completes in < 2 seconds for either caller / callee columns, but with the OR in place, it will not complete (I've not allowed it to run longer than 30 minutes in testing).
...ANSWER
Answered 2022-Feb-02 at 10:09Queries using OR
cannot use index (as efficiently). I suggest you try the following:
QUESTION
Using the guide here https://docs.microsoft.com/en-us/azure/communication-services/quickstarts/voice-video-calling/get-started-teams-interop?pivots=platform-windows
I am able to join a team meeting from my client app.
Now trying to start a 1:1 call with a teams identity on the client, to another teams identity (on teams); I've tried to use the StartCallAsync method (instead of JoinAsync) from https://docs.microsoft.com/en-us/azure/communication-services/quickstarts/voice-video-calling/get-started-with-voice-video-calling-custom-teams-client
This example is in node - I'm using C# and it looks like the most recent beta build of the SDK does NOT have the threadId
property exposed.
Here is the JS code
...ANSWER
Answered 2022-Jan-31 at 08:26Azure Communication Services have multiple types of Teams interop, which are in different phases of development by today (1/31/2022). Your combination of interop and programming language is currently not supported. Interop scenarios:
- Ability of ACS users to join Teams meeting is generally available for all JS, .net, iOS, Android.
- Ability of Teams user manage Teams VoIP calls, Teams PSTN calls, and Teams meetings via ACS JavaScript calling SDK is in public preview. Android, iOS, and .net calling SDKs do not support Teams identities.
You can learn more about the support in the following documentation: https://docs.microsoft.com/en-us/azure/communication-services/concepts/interop/teams-user-calling
QUESTION
I'm trying to implement a faster version of the np.isin
in numba
, this is what I have so far:
ANSWER
Answered 2022-Jan-27 at 03:15Strings are barely supported by Numba (like bytes
although the support is slightly better). Set and dictionary are supported with some strict restriction and are quite experimental/new. Sets of strings are not supported yet regarding the documentation:
Sets must be strictly homogeneous: Numba will reject any set containing objects of different types, even if the types are compatible (for example, {1, 2.5} is rejected as it contains a
int
and afloat
). The use of reference counted types, e.g. strings, in sets is unsupported.
You can try to cheat using a binary search. Unfortunately, np.searchsorted
is not yet implemented for string-typed Numpy array (although np.unique
is). I think you can implement a binary search yourself but this is cumbersome to do and in the end. I am not sure this will be faster in the end, but I think it should because of the O(Ns Na log Nb))
running time complexity (with Ns
the average size of string length of b
unique items, Na
the number of items in a
and Nb
the number of unique items in b
). Indeed, the running time complexity of np.isin
is O(Ns (Na+Nb) log (Na+Nb))
if arrays are about similar sizes and O(Ns Na Nb)
if Nb
is much smaller than Na
. Note that the best theoretical running time complexity is AFAIK O(Ns (Na + Nb))
thanks to a hash table with a good hash function (Tries can also achieve this but they should be practically slower unless the hash function is not great).
Note that typed dictionaries support statically declared string but not dynamic ones (and this is an experimental feature for static ones).
Another cheat (that should work) is to store string hashes as the key of a typed dictionary and associate each hash to an array of indices referencing the string locations in b
having the hash of the associated key. The parallel loop needs to hash a
items and fetch the location of strings item in b
having this hash so you can then compare the strings. A faster implementation would be to assume that the hash function for b
strings is perfect and that there is no collision so you can directly use a TypedDict[np.int64, np.int64]
hash table. You can test this hypothesis at runtime when you build b
. Writing such a code is a bit tedious. Note that this implementation may not be faster than Numpy in the end in sequential because Numba TypedDict
s are currently pretty slow... However, this should be faster in parallel on processors with enough cores.
QUESTION
I am trying to use Numpy's mean and standard deviation functions insinde a function and they don't seem to be compatible with Numba, although Numba documentation states them as compatible.
My code is the following:
...ANSWER
Answered 2022-Jan-14 at 15:23The error message shows that Numba does not know how to compute the mean
of a list
. Your code works fine (with @jit
) if the input list is first converted to a numpy array:
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