reductor | Redux for Android | State Container library

 by   Yarikx Java Version: v0.13.2 License: Apache-2.0

kandi X-RAY | reductor Summary

kandi X-RAY | reductor Summary

reductor is a Java library typically used in User Interface, State Container, React applications. reductor has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Redux inspired predictable state container library for Java/Android.
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            kandi-support Support

              reductor has a low active ecosystem.
              It has 459 star(s) with 25 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 10 open issues and 14 have been closed. On average issues are closed in 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of reductor is v0.13.2

            kandi-Quality Quality

              reductor has 0 bugs and 0 code smells.

            kandi-Security Security

              reductor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              reductor code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              reductor is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              reductor releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 4335 lines of code, 270 functions and 76 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed reductor and discovered the below as its top functions. This is intended to give you an instant insight into reductor implemented functionality, and help decide if they suit your requirements.
            • Initializes the store
            • Create dynamic proxy instance
            • Setup the spinner
            • Instantiates a dynamically generated action creator
            • Determine whether the given context is applicable to this class
            • Create the Reducer builder
            • Emits a combined reducer
            • Parse the state property
            • Emit elements from a set of Strings
            • Parses a reduce action
            • Parse a string reducer element
            • Generate generated class
            • Creates a Dispatcher that delegates to the consumer
            • Returns a Dispatcher that fires events from the store
            • Emit all the elements in the current state
            • Emits a combined state implementation
            • Emit all registered actions
            • Compares this action to another object
            • Subscribe a state to the source
            • Sets the menu item to be created
            • Removes the given notes from the given list of notes
            • Toggle the given notes from the given list of notes
            • Create a RuntimeReplFactory
            • Dispatches an action
            • Sets the note at the specified position
            • Returns a unique hashCode of this id
            Get all kandi verified functions for this library.

            reductor Key Features

            No Key Features are available at this moment for reductor.

            reductor Examples and Code Snippets

            No Code Snippets are available at this moment for reductor.

            Community Discussions

            QUESTION

            Loading multiple CSV files (silos) to compose Tensorflow Federated dataset
            Asked 2022-Mar-10 at 17:04

            I am working on pre-processed data that were already siloed into separated csv files to represent separated local data for federated learning.

            To correct implement the federated learning with these multiple CSVs on TensorFlow Federated, I am just trying to reproduce the same approach with a toy example in the iris dataset. However, when trying to use the method tff.simulation.datasets.TestClientData, I am getting the error:

            ...

            ANSWER

            Answered 2022-Mar-10 at 17:04

            I did some search of public code in github using class tff.simulation.datasets.TestClientData, then I found the following implementation (source here):

            Source https://stackoverflow.com/questions/71396780

            QUESTION

            _pickle.PicklingError when trying to read a table from BigQuery and save it as a dataframe using Airflow
            Asked 2021-Sep-24 at 11:01

            What is the best way to read a BigQuery table from Airflow and save the result as a dataframe? I have a python module to read the table and can run this locally to fetch the table:

            ...

            ANSWER

            Answered 2021-Sep-22 at 10:42

            I think you need to show the DAG you are using - but my guess in your operator you try to instantiate google client in init of your operator (possibly you create and assign Hook to some field there). This is quite wrong - the hooks should only be instantiated inside "execute" method of the operator and should not be stored in the Operator object when constructed.

            See any of the Google operators: https://github.com/apache/airflow/tree/main/airflow/providers/google/cloud/operators

            Source https://stackoverflow.com/questions/69281682

            QUESTION

            TypeError: can't pickle _thread.RLock objects in python 3
            Asked 2021-Aug-31 at 15:26

            I have a very large project of a Web API using Flask and Python. It is used for testing some electronic hardware automatically. The program uses some threading in order to run a web UI while a server runs some services (SSH, serial, VISA) among others.

            The program was originally coded in python 2.7 and works just fine with this version. Right now, I am trying to update it to python 3.8 for obvious reasons.

            As I am updating the project, I'm having trouble with the copy library. It is supposed to serialize a _thread.RLock object and to send it to another thread, but it keeps giving me an error. Here is the traceback that I get:

            ...

            ANSWER

            Answered 2021-Aug-31 at 15:26

            So I found out that a _thread.RLock() object cannot be copied. I just added a condition to skip an object like this to be copied, and it works fine. For the web UI not refreshing, I changed to a lower version of Flask-CoketIO and it worked just fine.

            Source https://stackoverflow.com/questions/68930835

            QUESTION

            Python3.6 can't pickle _thread.RLock objects
            Asked 2021-Jul-08 at 20:06

            When I run fab command, I got below error, I can't execute any fab task, even it is a simple print task. The error is on parse-task:

            ...

            ANSWER

            Answered 2021-Jul-08 at 20:06

            It is approved to be an issue with Python3.6 The issue doesn't exist in Python3.7 and Python3.8.

            Source https://stackoverflow.com/questions/68294231

            QUESTION

            Airflow (Google Composer) TypeError: can't pickle _thread.RLock objects
            Asked 2020-Sep-14 at 10:29

            I'm using airflow(Google composer), but experienced some exceptions below

            TypeError: can't pickle _thread.RLock objects

            ...

            ANSWER

            Answered 2020-Sep-14 at 10:29

            I guess that the similar problem was reported on Apache Jira tracker, looking into the discussion threads there, I can point out some concerns that might help to overcome this issue:

            • I would advise to look through the particular DAG, inspecting the correct type of the default arguments for dedicated DAG operator, despite the fact that retry_delay has been already checked, it would worth to review the rest of the parameters, the link was already mentioned in the question;

            • To further debug, verify whether you DAG Operator consumes only pickable(serializable) object, as per comment being posted here.

            • I assume that we are still receiving some issues from the users with clearing Airflow DAG tasks via Airflow WEB UI, just check out this thread. In order to mitigate this problem you can either delete the failing task within Airflow command-line tool (example here) or as a last resort remove the task_id record from Airflow metadata database.

              Connecting to the one of Composer's workers:

            Source https://stackoverflow.com/questions/63813041

            QUESTION

            Async in aiogram python. Pull out from the async function
            Asked 2020-Aug-21 at 18:24

            I wrote a program on python using aiogram, now I'm refactoring the code. There was a problem that I cannot take out a piece of code from do_something func to the get_task_info func:

            ...

            ANSWER

            Answered 2020-Aug-21 at 18:24

            get_task_info is the async function, you should do async call for getting result adding await operator.

            replace

            Source https://stackoverflow.com/questions/63527763

            QUESTION

            any efficient alternative for GridSeachCV to find best hyperparams in deep NN in tensorflow?
            Asked 2020-Aug-13 at 15:02

            In my image classification experiment, I want to find hyperparams for CNN model, and I used RandomizedSearchCV to find its possible best hyperparams but I got following argument error which I can't figure out why.

            TypeError Traceback (most recent call last)

            in () 41 42 model, pred = algorithm_pipeline(X_train, X_test, y_train, y_test, model, ---> 43 param_grid, cv=5, scoring_fit='neg_log_loss') 44 45 print(model.best_score_)

            32 frames

            /usr/lib/python3.6/copy.py in deepcopy(x, memo, _nil) 167 reductor = getattr(x, "reduce_ex", None) 168 if reductor: --> 169 rv = reductor(4) 170 else: 171 reductor = getattr(x, "reduce", None)

            TypeError: can't pickle _thread.RLock objects

            I looked into possible solution for this sort of error in SO but still error didn't go away.

            Here is part of my code including error report in this colab. I don't understand what's wrong with my attempt. can anyone point me out how to get rid of this error? Thanks

            my current attempt

            ...

            ANSWER

            Answered 2020-Aug-13 at 15:02

            sklearn GridSearchCV will not work directly on keras model. You have to use keras scikit_learn wrapper to make it work with sklearn apis. For example, a keras model has to be wrapped using KerasClassifier

            Sample Code

            Code documented inline.

            Source https://stackoverflow.com/questions/63316939

            QUESTION

            Cannot pickle 'dict_keys' object - dict validator with keysrules
            Asked 2020-Jun-20 at 15:38
            UPDATEABLE_FIELDS_KEYS = dict.fromkeys(["subject", "target"]).keys()
            
            update_schema = {
                "internal_id": {
                    "required": True,
                    "type": "string",
                    "regex": UUIDV4,
                    "empty": False,
                    "excludes": "message_code",
                },
                "message_code": {
                    "required": True,
                    "type": "string",
                    "empty": False,
                    "excludes": "internal_id",
                    "coerce": to_uppercase_fn,
                },
                "fields": {
                    "required": True,
                    "type": "dict",
                    "keysrules": {
                        "required": False,
                        "type": "string",
                        "allowed": UPDATEABLE_FIELDS_KEYS,
                    },
                },
            }
            
            ...

            ANSWER

            Answered 2020-Jun-18 at 20:58

            The only way I could see this being actually broken is my guess above about UPDATEABLE_FIELDS_KEYS

            your code is using some_dict.keys() to set that value which returns a keys view (dict_keys type in python)

            adjusting the code in your question if I change:

            Source https://stackoverflow.com/questions/62458829

            QUESTION

            TypeError: can't pickle _thread.RLock objects, K.shape problem
            Asked 2020-May-04 at 08:27

            I tried to train Keras R-FCN for my dataset and I need to save full model cause I can't train model all until it finishes so I need to resume my model when I can resume my training.

            but I can't save the full model with modelCheckpoint or model.save if I save weight only the code work fine.

            I use TensorFlow-GPU 1.15.0 and Keras 2.2.4

            ...

            ANSWER

            Answered 2020-May-04 at 08:27

            since I already fix my problem I'm gonna share my solution, just like the title said error typeError: can't pickle thread rlock object happen apparently because there are raw tensors wandering inside in my model, in this case inside def build from my custom model.

            the solution that I take is to make make a function that contains calculations involve with k.shape and called that function inside the lambda layer. Here's the example solution that I took.

            Here's the problem code

            Source https://stackoverflow.com/questions/61454585

            QUESTION

            How can I substitute a cell reference for the formula the referred cell contains
            Asked 2020-May-01 at 16:12

            How can I substitute a cell reference for the formula it contains, in other words, "expand" or "derivate" cell references?

            An example, and I know I could calculate it using PV(): Suppose I want to calculate the present value of a given amount, reductor, number of periods and discount rate and in a spreadsheet I have:

            A2: 1 (number of periods)
            B2: 5000 (amount)
            C2: 0,8 (reductor)
            G1: 6% (discount rate)

            If I want to calculate the final result on D2, I would have to enter:

            =(B2*C2)*(1+$G$1)^(-A2)

            (I intentionally used some unnecessary parentheses above)

            But if I wanted, for debugging, or for building a more complex formula with more nested calculations write on cells:

            D2: =E2*F2^G2
            E2: =B2*C2
            F2: =1+$G$1
            G2: =-A2

            So that I could check every part of the calculation is working ok and that the final formula is well "assembled" (or to easily correct what might be wrong or change it to calculate something else, like future value, for which I would remove the minus sign on G2).

            And after doing those steps use some function/shortcut/feature on cell D2 that would replace

            "=E2*F2^G2"

            for

            "=(B2*C2)*(1+$G$1)^(-A2)"

            (i.e. do E2 → (B2*C2) F2 → (1+$G$1) and G2 → (-A2)) so that the desired formula is built on the right place and I can get rid of the temporary cells.

            The closest to this behaviour I could find was formulatext() function, but it works just for a single reference and always include the "=" if I do, for instance

            =CONCAT(FORMULATEXT(E2);"*";FORMULATEXT(F2);"^";FORMULATEXT(G2))

            results in

            =B2*C2*=1+$G$1^=-A2

            which is not the desired result.

            What I was expecting to find was something like when one select a part of a formula and presses F9 and it substitutes it for the value, but applied for functions or intermediate steps.

            ...

            ANSWER

            Answered 2020-Apr-27 at 00:25

            As it really does not seem to exist a built-in funcion on Excel, I came out with a script for doing this based on the answer on Parsing and extracting cell references from Excel formulas?

            Works on Excel 365 (may work on other versions as well), replaces references on active cell only, does not work on cells that contain intervals (for instance, it will fail on a cell that contains =sum(A1:A5) ) and the contents of the precedent cells will end up enclosed in parentheses. It also does not replace "locked" cells (=$B$2 won't be replaced as well).

            In summa, it is not perfect, maybe it's not ellegant too, but it seems to be as good as I needed and works on the proposed scope.

            Source https://stackoverflow.com/questions/61409474

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install reductor

            Apt dependency on reductor-processor is only necessary if you want to use features as @CombinedState and @AutoReducer.

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