targ | Python CLI using type hints and docstrings | Code Analyzer library
kandi X-RAY | targ Summary
kandi X-RAY | targ Summary
Build a Python CLI for your app, just using type hints and docstrings. Just register your type annotated functions, and that’s it - there’s no special syntax to learn, and it’s super easy.
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Top functions reviewed by kandi - BETA
- Print an address .
- Say hello .
- Print the pi .
- Compute compound interest .
- Print compound rate .
- Pause timer .
- Add two numbers .
- Echo the message .
- Create a user .
- Format a text message .
targ Key Features
targ Examples and Code Snippets
def file_save_flow(save_to_file, file_object, data):
if save_to_file == True:
print('Data: ', data)
out_file = open("scenario_out.txt", "w")
file_save_flow(save_to_file=True, file_object=out_file, data='data')
out_file.close()
#make matrix as list of lists and transpose it
A = np.array([names, normal_dates, instrument, rv, rv_errors,
date, BIS, airmass])
B = np.transpose(A)
#headers for table
headers = ['Target', '
result = confusion_matrix(list(y_test.values), ypred)
>>> import regex
>>>
>>> targ = 'this sdgbsesfrgnh these meat ball those nhwsgfr that sfdng sfgnsefn sfgnndfsng'
>>> pat = r'(?=this|that|these|those)(?>\s*(?:(?(1)(?!))\bthis\b()|(?(2)(?!))\bthat\
for epoch in range(EPOCHS):
start = time.time()
enc_hidden = encoder.initialize_hidden_state()
total_loss = 0
for (batch, (inp, targ)) in enumerate(dataset.take(steps_per_epoch)):
batch_loss = train_step(inp, targ, enc_hidden
# find_key.py
def find_key(key, targ, path=[]):
""" Search an aribitarily deep nested dict `targ` for key `key`.
Return its value(s) together with the path(s) of ancestor keys.
"""
if key == targ:
yield v, path
cmb_binned_spectrum = np.loadtxt('COM_PowerSpect_CMB-TT-binned_R3.01.txt')
k2muK = 1e6
plt.plot(cmb_binned_spectrum[:,0], cmb_binned_spectrum[:,1], '--', alpha=1, label='Planck 2018 PS release')
plt.plot(ll, ll*(ll+1.)*test_cls_meas_fromma
checkpoint_path = os.path.abspath('.') + "/checkpoints" # Put your path here
ckpt = tf.train.Checkpoint(encoder=encoder,
decoder=decoder,
optimizer = optimizer)
ckpt_manager = tf.trai
def plus(x,y):
return x+y
def minus(x,y):
return x-y
def times_by(x,y):
return x*y
def divided_by(x,y):
return x/y
def find_solution(l):
x,y,z,targ = l
for func1 in [plus, minus, times_by, divided_by]:
for
net = 3
n = 1e-3
precisao = 0.0001
w1 = np.random.rand(net, len(x[0]))
bias1 = np.random.rand()
w2 = np.random.rand(1, net)
bias2 = np.random.rand()
E_M = 20
epocas = 0
while E_M > precisao:
E_M = 0
errofinal = 0
Community Discussions
Trending Discussions on targ
QUESTION
I have an Entity which has this piece of code:
...ANSWER
Answered 2021-Jun-03 at 13:34Is the component guaranteed to be moved and added?
No, because you're "moving" the pointer. And allocations don't get "moved" like that. In fact, there's no reason for you to std::move()
if you're using a pointer anyway.
Also, Like @rustyx suggested, you probably want to use std::unique_ptr
rather than Component*
, as that will take care of deallocating the memory when the vector is destroyed.
Will the reference to the returned object be valid?
Yes, but it may become invalid if you add another component. Remember that back()
will not give you a Component*
, but rather a Component*&
.
So what you probably want to return is actually *component
.
Are there any additional checks necessary for this function (in your opinion)?
Other than the above - seriously consider avoiding the vector of pointers in favor of something else. dynamic polymorphism is out of fashion :-P ... have you considered variants?
Putting things together:
QUESTION
I want to create dynamic assembly with generic class:
...ANSWER
Answered 2021-May-16 at 01:50You cannot call GetMethod
on typeof(Func<>).MakeGenericType(TArg)
, because in this instance, TArg
is a GenericTypeParameterBuilder
, and the Type
object returned by MakeGenericType
doesn't know how to get the relevant methods.
Instead use TypeBuilder.GetMethod
like this:
QUESTION
Contain the necessary files. Add this to your "My Drive". https://drive.google.com/drive/folders/1epROVNfvO10Ksy8CwJQdamSK96JZnWW9?usp=sharing Google colab link with a minimal example: https://colab.research.google.com/drive/18sMqNn8IpTQLZBlInWSbX0ITd2GWDDkz?usp=sharing
This basic block 'module', if you will, is part of a larger network. It all boils down to this block, however, as this is where the convolutions are performed (in this case depthwise separable convolution). The network is seemingly able to train, however, while training (and during all the epochs) a WARNING is thrown out:
...ANSWER
Answered 2021-May-15 at 17:12Solved by reworking the network and putting all the layers one after the other rather than having multiple instances of a model. So everything from beginning to end is in one single subclassed model.
QUESTION
im trying to grab the transform component via t.find and then via the transform component, grab the game object component, and then t.LookAt can work, and look at the player.
this is the code:
...ANSWER
Answered 2021-May-09 at 19:36Here are a few issues with the updated snippet, not sure if they will fix all of the errors you are getting.
You are re-using a variable name t
. I would also refrain from naming any global variables very short random letters as it can get confusing. What is this a Transform
of? If it is the transform of a player, possibly name it PlayerTransfom
.
As I mentioned you are re-using a variable name which is not allowed especially with different types as well as re-initilization. It is fine to re-assign a variable such that it is updated, manipulating, changing, etc. the value, but re-declaring the value is not allowed in c# and I do not believe allowed in any other language (at least that I know of).
To be specific, the line target t = hit.transform.GetComponent();
is delcaring t
as the script component type target
, but you have already declared a Transform
named t
above it as public Transform t;
.
Another issue is you are attempting to assign a variable using a non-static method in a global setting. The line specifically is public Transform player = Transform.Find(playername);
. You are not able to set the transform like this outside of a method as the Find
method is not static. Change it to be.
QUESTION
I am trying to solve this problem in C++ TMP where in i need to convert one parameter pack types into another, and then convert back the types and also values. The conversion back part is based on a boolean criteria that whether an arg in Args...
was transformed or not in the first place.
Basically, i have a pack(Args...
). First, i transform this (for each args[i], call a transform function
). It works like this:
For each arg in Args...
, just create same type in transformed_args...
unless it is one of following, in that case do following conversions:
SomeClass
shared_ptr to SomeClass
std::vector of SomeClass
std::vector of shared_ptr to SomeClass
everything else remains the same for ex:
int
remains int
std::string
remains std::string
I achieve this by template specialization, of course
For the next part, i take transformed_args...
, publish a class and a functor. I receive call back on this functor from(C++generated Python using Pybind, not important though). Relevant bits of that class look like this...
ANSWER
Answered 2021-May-10 at 12:37If I understand correctly, you might do something like:
QUESTION
I have modified the sample from https://en.cppreference.com/w/cpp/language/parameter_pack to save the string in a variable. My code
...ANSWER
Answered 2021-May-09 at 20:57tprintf(std::string&, const std::string&, std::string, int) <- arg is std::string
Correct, therefore, here:
QUESTION
I'm trying to implement a globally accessible undo/redo functionality in my Rust app via the undo crate.
Additionally I am using enum_dispatch to handle the dynamic dispatch of my dyn AppActions
, such as AddName
or AddPhoneNumber
.
However I'm running into the issue of needing to mutably borrow self
more than once when I want to add a phone number or add a name to state. This is because I need to mutate some field of my state (names
or phone_numbers
) to add some data, and I need to mutate history
so we have a record of these changes which can be undone/redone.But this leads me to mutably borrowing our state twice, once for the history, and once for whatever field we're wanting to add data to. Now I know one solutions to this problem, as discussed here, is borrowing specific fields from self
, rather then the whole self
. But for this approach to work we need to provide our AppAction
implementers with some type attributes, so that when we pass them into self.history.apply()
, we can also pass in self.names
or self.phone_numbers
, which have types Vec
and Vec
, respectively.
This sounds simple enough, but as it's unclear to me how to do this given the limitations of enum_dispatch
. I thought that I could add associated types to AppAction
, similar to the way undo::Action
has associated typesTarget
,Output
, and Error
. So for AddName
, Target=Vec
and for AddPhoneNumber
Targe=Vec
. But for reasons described in this issue, enum_dispatch does not allow you to add associated types to your trait definition. Is there some other way to add these type arguments to my AppAction
implementers, AddName
and AddPhoneNumber
?
In the referenced issue, OP mentions:
I should wrap the associated type in another enum. Maybe it's not necessary for enum_dispatch to provide a general solution. Users should customize themselves. I'll close the issue.
However I'm not really sure what they mean by this or how to apply this to my particular case. Dopes OP suggest that we have some Enum, AppActionType
as Target
instead of AppState
? Or is OP essentially suggesting not to use enum_dispatch
for cases where implementer methods need differently typed values?
If anyone would like to play with the actual code, I put it in this repo.
...ANSWER
Answered 2021-Apr-29 at 09:13Unless there's some reason the application of an action would need access to the History
, why not just use two struct
s, one to represent the current application state, and one that augments this with history?
QUESTION
I am reading in an edge list from a file and trying to make a graph out of it using boost graph library. The final goal is to implement the girvan newman algorithm, but right now I'm just working on getting the graph read in. I read the data in as two unordered maps that are duplicated with switch key and value pairs, that way I can use .find with both the key and value. Here is my code:
...ANSWER
Answered 2021-Apr-13 at 15:38Your initial edge weights
QUESTION
I have an interface and I want to mock a function of this interface with an argument which is a reference to a function. See code exmple:
...ANSWER
Answered 2021-Apr-08 at 09:45When passing something that is invokable to a function reference parameter the compiler tries to build a closure on it to then pass it to the parameter. This happens also for variables:
QUESTION
I am trying to get the forbes list using a query in R:
...ANSWER
Answered 2021-Apr-03 at 22:42It seems you just need to specify the notice_gdpr_prefs
cookie field. The original value is 0,1,2::implied,eu;
, but even if the value is empty, it returns the data. It seems to only check that the cookie field is present:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install targ
You can use targ like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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