NCF | NeuCharFramework Template Project | Functional Programming library

 by   NeuCharFramework JavaScript Version: Current License: Apache-2.0

kandi X-RAY | NCF Summary

kandi X-RAY | NCF Summary

NCF is a JavaScript library typically used in Programming Style, Functional Programming, Framework applications. NCF has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Notice NCF 由盛派(Senparc)团队经过多年优化迭代的自用系统底层框架 SenparcCore 升级而来,经历了 .NET 3.5/4.5 众多系统的实战检验,并最终移植到 .NET Core(同时支持 .NET 5),目前已在众多系统中稳定运行。感谢大家一直以来的支持! 源码中已经附带文档模块,运行 NCF 并安装即可。.
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            kandi-support Support

              NCF has a low active ecosystem.
              It has 290 star(s) with 120 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 11 have been closed. On average issues are closed in 115 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of NCF is current.

            kandi-Quality Quality

              NCF has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              NCF 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

              NCF releases are not available. You will need to build from source code and install.
              NCF saves you 19238 person hours of effort in developing the same functionality from scratch.
              It has 37973 lines of code, 0 functions and 669 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of NCF
            Get all kandi verified functions for this library.

            NCF Key Features

            No Key Features are available at this moment for NCF.

            NCF Examples and Code Snippets

            No Code Snippets are available at this moment for NCF.

            Community Discussions

            QUESTION

            issue with calculating accuracy
            Asked 2021-May-05 at 17:27

            i'm using Torch Metrics to try to calculate the accuracy of my model. But i'm getting this error. I tried using .to(device="cuda:0") but I got a cuda initialization error. I also tried using .cuda() but that didn't work either. I'm using PyTorch lightning with a Titan Xp GPU. Im using a mish activation function with the Movie-lens data set.

            code:

            ...

            ANSWER

            Answered 2021-May-05 at 17:27

            I am explaining it here,

            This command:

            Source https://stackoverflow.com/questions/67393293

            QUESTION

            Wildcard to match string in R
            Asked 2021-Mar-16 at 11:38

            This might sound quite silly but it's driving me nuts. I have a matrix that has alphanumeric values and I'm struggling to test if some elements of that matrix match only the initial and final letters. As I don't care the middle character, I'm trying (withouth success) to use a wildcard.

            As an example, consider this matrix:

            ...

            ANSWER

            Answered 2021-Mar-16 at 11:38

            You can use grepl with the subseted m like:

            Source https://stackoverflow.com/questions/66654378

            QUESTION

            How do I transfer values of a CSV files between certain dates to another CSV file based on the dates in the rows in that file?
            Asked 2021-Mar-16 at 04:46

            Long question: I have two CSV files, one called SF1 which has quarterly data (only 4 times a year) with a datekey column, and one called DAILY which gives data every day. This is financial data so there are ticker columns.

            I need to grab the quarterly data for SF1 and write it to the DAILY csv file for all the days that are in between when we get the next quarterly data.

            For example, AAPL has quarterly data released in SF1 on 2010-01-01 and its next earnings report is going to be on 2010-03-04. I then need every row in the DAILY file with ticker AAPL between the dates 2010-01-01 until 2010-03-04 to have the same information as that one row on that date in the SF1 file.

            So far, I have made a python dictionary that goes through the SF1 file and adds the dates to a list which is the value of the ticker keys in the dictionary. I thought about potentially getting rid of the previous string and just referencing the string that is in the dictionary to go and search for the data to write to the DAILY file.

            Some of the columns needed to transfer from the SF1 file to the DAILY file are:

            ['accoci', 'assets', 'assetsavg', 'assetsc', 'assetsnc', 'assetturnover', 'bvps', 'capex', 'cashneq', 'cashnequsd', 'cor', 'consolinc', 'currentratio', 'de', 'debt', 'debtc', 'debtnc', 'debtusd', 'deferredrev', 'depamor', 'deposits', 'divyield', 'dps', 'ebit']

            Code so far:

            ...

            ANSWER

            Answered 2021-Feb-27 at 12:10

            The solution is merge_asof it allows to merge date columns to the closer immediately after or before in the second dataframe.

            As is it not explicit, I will assume here that daily.date and sf1.datekey are both true date columns, meaning that their dtype is datetime64[ns]. merge_asof cannot use string columns with an object dtype.

            I will also assume that you do not want the ev evebit evebitda marketcap pb pe and ps columns from the sf1 dataframes because their names conflict with columns from daily (more on that later):

            Code could be:

            Source https://stackoverflow.com/questions/66378725

            QUESTION

            How to solve a Pandas Merge Error: key must be integer or timestamp?
            Asked 2021-Feb-28 at 10:49

            I'm trying to merge to pandas dataframes, one is called DAILY and the other SF1.

            DAILY csv:

            ...

            ANSWER

            Answered 2021-Feb-27 at 16:26

            You are facing this problem because your date column in 'daily' and calendardate column in 'sf1' are of type object i.e string

            Just change their type to datatime by pd.to_datetime() method

            so just add these 2 lines of code in your Datasorting/cleaning code:-

            Source https://stackoverflow.com/questions/66400763

            QUESTION

            How to solve ValueError: left keys must be sorted when merging two Pandas dataframes?
            Asked 2021-Feb-27 at 19:10

            I'm trying to merge two Pandas dataframes, one called SF1 with quarterly data, and one called DAILY with daily data.

            Daily dataframe:

            ...

            ANSWER

            Answered 2021-Feb-27 at 19:10

            The sorting by ticker is not necessary as this is used for the exact join. Moreover, having it as first column in your sort_values calls prevents the correct sorting on the columns for the backward-search, namely date and calendardate.

            Try:

            Source https://stackoverflow.com/questions/66402405

            QUESTION

            How to get values from a dict into a new column, based on values in column
            Asked 2021-Feb-07 at 07:30

            I have a dictionary that contains all of the information for company ticker : sector. For example 'AAPL':'Technology'.

            I have a CSV file that looks like this:

            ...

            ANSWER

            Answered 2021-Feb-07 at 07:29
            • Use .map, not .apply to select values from a dict, by using a column value as a key, because .map is the method specifically implemented for this operation.
              • .map will return NaN if the ticker is not in the dict.
            • .apply can be used, but .map should be used
              • df['sector'] = df.ticker.apply(lambda x: company_dict.get(x))
              • .get will return None if the ticker isn't in the dict.

            Source https://stackoverflow.com/questions/66085264

            QUESTION

            How to append something in a CSV file to a column in all the rows where the cell of the ticker column = 'AAPL'?
            Asked 2021-Jan-17 at 05:12

            Quick question: I am trying to do some analysis on the tickers in a CSV file.

            Example of CSV file (Note that these are only the first two lines and there are around 200 tickers in total):

            ...

            ANSWER

            Answered 2021-Jan-17 at 05:10

            If you want to set some column value based on condition consider apply or iterrows

            Source https://stackoverflow.com/questions/65757064

            QUESTION

            How do I keep the column names in a data frame when I am trying to drop all of the rows that don't start with specific names?
            Asked 2020-Dec-18 at 18:50

            I need to drop the majority of the companies in a historical stock market data CSV. The only companies I want to keep are 'GOOG', 'AAPL', 'AMZN', 'NFLX'. Note that there are over 20 000 companies listed in the CSV. I also want to filter out these companies while only using certain columns in the CSV. The columns are: 'ticker', 'datekey', 'assets', 'eps', 'pe', 'price', 'revenue'.

            The code to filter out these companies is:

            ...

            ANSWER

            Answered 2020-Dec-18 at 18:50
            list = ['GOOG', 'AAPL', 'AMZN', 'NFLX']
            first = True
            
            for tickers in list:
                df1 = df[df.ticker == tickers]
                if first:
                    df1.to_csv("20CompanyAnalysisData1.csv", mode='a', header=True)
                    first = False
                else: 
                    df1.to_csv("20CompanyAnalysisData1.csv", mode='a', header=False)
                continue
            

            Source https://stackoverflow.com/questions/65362151

            QUESTION

            cant play raw video in android studio using java
            Asked 2020-Nov-30 at 06:22

            why i cant play raw video in my app? did i miss something in my code? everytime i click the name of video in my listview this error appear in my logcat 2020-11-22 12:34:40.306 8395-8426/com.ncf.fitnessandexercise E/MediaPlayerNative: error (1, -2147483648) 2020-11-22 12:34:40.325 8395-8395/com.ncf.fitnessandexercise E/MediaPlayer: Error (1,-2147483648) and

            this

            ...

            ANSWER

            Answered 2020-Nov-24 at 05:54

            Maybe you are using non supported video format, have a look at VideoView supported formats: https://developer.android.com/guide/topics/media/media-formats

            Incase if your video format is not supported, you can use ExoPlayer https://github.com/google/ExoPlayer

            Source https://stackoverflow.com/questions/64950735

            QUESTION

            An HTTP GET Request Returns of 302, but the Location Header is the Same As the One I Originally Passes
            Asked 2020-Sep-02 at 07:13

            I am receiving an unexpected response from a server that I don't know how to fix. I have been tinkering with the Discord Gateway, which uses a secure websocket connection. However, when I request to establish a connection, to the gateway, I get a 302 Found response status. After a bit of googling, I discovered that I should use the URI specified in the Location header; however, this was (nearly) identical to the one I originally passed.

            ...

            ANSWER

            Answered 2020-Sep-02 at 07:13

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

            Vulnerabilities

            No vulnerabilities reported

            Install NCF

            You can download it from GitHub.

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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