each | A small batch processing utlity | Batch Processing library

 by   DRMacIver Python Version: 0.0.6 License: Non-SPDX

kandi X-RAY | each Summary

kandi X-RAY | each Summary

each is a Python library typically used in Data Processing, Batch Processing applications. each has no bugs, it has no vulnerabilities, it has build file available and it has low support. However each has a Non-SPDX License. You can install using 'pip install each' or download it from GitHub, PyPI.

A small batch processing utlity

            kandi-support Support

              each has a low active ecosystem.
              It has 9 star(s) with 1 fork(s). There are 1 watchers for this library.
              It had no major release in the last 12 months.
              There are 9 open issues and 2 have been closed. On average issues are closed in 91 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of each is 0.0.6

            kandi-Quality Quality

              each has no bugs reported.

            kandi-Security Security

              each has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              each has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              each releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed each and discovered the below as its top functions. This is intended to give you an instant insight into each implemented functionality, and help decide if they suit your requirements.
            • Return a list of work items from a directory
            • Return a dict of work items from the input stream
            • Return a generator of FileWorkItems from a given directory
            • Returns the local file path
            Get all kandi verified functions for this library.

            each Key Features

            No Key Features are available at this moment for each.

            each Examples and Code Snippets

            List in dataframe is different to the order it appears in the original list?
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = pd.DataFrame(np.array(data).T)
            df = pd.DataFrame(list(map(list, zip(*data))))
            Is there a way to transfer the contents of a for statement to a function?
            Pythondot img2Lines of Code : 29dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def encrypt():
              while True:
                    userinp = input("Please enter the name of a file: ")
                    file = open(f"{userinp}.txt", "r")
                  print("That File Does Not Exist!")
              second = open("encoded.txt
            Pandas: New column adding values of different columns with strings and numbers
            Pythondot img3Lines of Code : 20dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def played_from_start(entry):
                entry = str(entry)  # Without this, np.nan is a float.
                if entry == 'nan' or entry == '':
                    return 0
                if entry.startswith('Bench'):
                    return 0
                if entry == 'Starting':
                    return 9
            Clicking through links in Selenium Python
            Pythondot img4Lines of Code : 3dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for name in names:
            Invalid syntax in python_data['division'].append(int(split[3]))
            Pythondot img5Lines of Code : 4dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            data["age"].append(int(split[2]) <- here
            How can I solve a system with multiple non-linear equations using Python?
            Pythondot img6Lines of Code : 30dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from scipy.optimize import fsolve
            from math import exp
            def equations(vars):
              a, b, c, d, e, f, g, h, i, j, k, l = vars
            Is it possible to breakdown a numpy array to run through 1 different value in every iteration?
            Pythondot img7Lines of Code : 15dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df['Diameter(km)'] = df['Radius(km)']*2
               Number ObjectName  DistanceFromEarth(km)  Radius(km)  Mass(10^24kg)  Diameter(km)
            0       0      Earth                    0.0      6378.1        5.97240       12
            Writing parsed XML results to CSV
            Pythondot img8Lines of Code : 17dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            with self.input().open() as f: 
                p = XMLParser(huge_tree=True) 
                tree = parse(f, parser=p) 
                root = tree.getroot() 
                result_values = [dict(n.attrib) for n in root.findall(".//MYTAG")
            Finding the minimum difference between two elements with recursion
            Pythondot img9Lines of Code : 14dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def recCPairDist(points):
                if len(points) == 1:
                    return float('inf')
                elif len(points)== 2:
                    return abs(points[1]-points[0])
                    mid = len(points) // 2
                    first_half = points[:mid]
            generate matrix of random integers unique per row in python
            Pythondot img10Lines of Code : 2dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            numbers = [rd.sample(range(M), K) for _ in range(N)]

            Community Discussions


            How to notify failure in producer-consumer pattern using BlockingCollection?
            Asked 2022-Mar-19 at 12:59

            I'm trying to create a lifetime process that batches incoming messages for DB bulk insert. The new message is coming in 1 at a time, in an irregular interval. My solution to this would be something like the producer-consumer pattern using BlockingCollection. Messages are added freely into the BlockingCollection by various events and are taken out of BlockingCollection in bulk for DB insert in regular intervals, 5 seconds.

            However, the current solution is fire-and-forget. If the bulk insert failed for any reason, I need a way for the processor to notify the original sources of the failure, because the source contains the logic to recover and retry.

            Is there a specific pattern I should be using for what I'm trying to achieve? Any suggestion or help is much appreciated!



            Answered 2022-Mar-19 at 12:59

            You will have to associate somehow each Message with a dedicated TaskCompletionSource. You might want to make the second a property of the first:

            Source https://stackoverflow.com/questions/71536182


            Batch file for generating automatic local PDF filenames with wkhtmltopdf
            Asked 2022-Mar-13 at 11:17

            I have a simple batch file with which I want to use the wkhtmltopdf to create PDF files of an archived set of URLs.

            The simple command of my batch file for wkhtmltopdf is as follows



            Answered 2022-Mar-13 at 11:17

            There could be used the following commented batch file:

            Source https://stackoverflow.com/questions/71242093


            Multi Step Incremental load and processing using Azure Data Factory
            Asked 2022-Mar-08 at 16:51

            I wanted to achieve an incremental load/processing and store them in different places using Azure Data Factory after processing them, e.g:

            External data source (data is structured) -> ADLS (Raw) -> ADLS (Processed) -> SQL DB

            Hence, I will need to extract a sample of the raw data from the source, based on the current date, store them in an ADLS container, then process the same sample data, store them in another ADLS container, and finally append the processed result in a SQL DB.

            ADLS raw:



            ADLS processed:



            SQL DB:

            All the txt files in the ADLS processed container will be appended and stored inside SQL DB.

            Hence would like to check what will be the best way to achieve this in a single pipeline that has to be run in batches?



            Answered 2022-Mar-04 at 04:41

            You can achieve this using a dynamic pipeline as follows:

            1. Create a Config / Metadata table in SQL DB wherein you would place the details like source table name, source name etc.

            2. Create a pipeline as follows:

              a) Add a lookup activity wherein you would create a query based on your Config table https://docs.microsoft.com/en-us/azure/data-factory/control-flow-lookup-activity

              b) Add a ForEach activity and use Lookup output as an input to ForEach https://docs.microsoft.com/en-us/azure/data-factory/control-flow-for-each-activity

              c) Inside ForEach you can add a switch activity where each Switch case distinguishes table or source

              d) In each case add a COPY or other activities which you need to create file in RAW layer

              e) Add another ForEach in your pipeline for Processed layer wherein you can add similar type of inner activities as you did for RAW layer and in this activity you can add processing logic

            This way you can create a single pipeline and that too a dynamic one which can perform necessary operations for all sources

            Source https://stackoverflow.com/questions/71346225


            Powershell move files with timestamp in name into year/month folders
            Asked 2022-Feb-28 at 17:51

            I have a lot of half-hourly files with names in the form A_B_C_YYYYMMDDThhmm_YYYYMMDDThhnn.csv A, B and C are words where YYYY is the year in 4 digits, MM the month in 2 digits, DD the day of the month in 2 digits, hh the hour of the day in 2 dgits, mm the minute in 2 digits, and nn is mm+30 minutes

            How can I move these files into folders based on years and months using Powershell?

            I have made an attempt based on a previously used script but it is not producing any output for my filename format, presumably because the match string is wrong:



            Answered 2022-Feb-28 at 17:51

            At first glance, your regex pattern, as you presumed, was not matching your file names. I have changed the pattern a bit, and using [datetime]::ParsedExact(..) to extract the year and month. Haven't tested this previously but I believe it should work.

            Needles to say, this code is not handling file collision, if there ever is a file with the same name as one of the files being moved to the destination this will fail.

            Source https://stackoverflow.com/questions/71298398


            Why my C program can't read data from file using "<" character
            Asked 2022-Feb-23 at 21:27

            I am writing a demo C application in batch mode, which will try to read from a file as input. The command is : metric

            The C source file is:



            Answered 2022-Feb-23 at 21:27

            You misread the doc: instead of scanf("1f", &miles); you should write:

            Source https://stackoverflow.com/questions/71187263


            Are Kafka Streams Appropriate for Triggering Batch Processing of Records?
            Asked 2021-Dec-21 at 05:49

            I have three services in place, each of which generate a certain JSON payload (and take different times to do so) that is needed to be able to process a message which is the result of combining all three JSON payloads into a single payload. This final payload in turn is to be sent to another Kafka Topic so that it can then be consumed by another service.

            Below you can find a diagram that better explains the problem at hand. The information aggregator service receives a request to aggregate information, it sends that request to a Kafka topic so that Service 1, Service 2 and Service 3 consume that request and send their data (JSON Payload) to 3 different Kafka Topics.

            The Information Aggregator has to consume the messages from the three services (Which are sent to their respective Kafka Topics at very different times e.g. Service 1 takes half an hour to respond while service 2 and 3 take under 10 minutes) so that it can generate a final payload (Represented as Aggregated Information) to send to another Kafka Topic.


            After having researched a lot about Kafka and Kafka Streams, I came across this article that provides some great insights on how this should be elaborated.

            In this article, the author consumes messages from a single topic while in my specific use case I must consume from three different topics, wait for each message from each topic with a certain ID to arrive so that I can then signal my process that it can proceed to consume the 3 messages with the same ID in different topics to generate the final message and send that final message to another Kafka topic (Which then another service will consume that message).

            Thought Out Solution

            My thoughts are that I need to have a Kafka Stream checking all three topics and when it sees that has all the 3 messages available, send a message to a kafka topic called e.g. TopicEvents from which the Information Aggregator will be consuming and by consuming the message will know exactly which messages to get from which topic, partition and offset and then can proceed to send the final payload to another Kafka Topic.

            • Am I making a very wrong use of Kafka Streams and Batch Processing?

            • How can I signal a Stream that all of the messages have arrived so that it can generate the message to place in the TopicEvent so as to signal the Information Aggregator that all the messages in the different topics have arrived and are ready to be consumed?

            Sorry for this long post, any pointers that you can provide will be very helpful and thank you in advance



            Answered 2021-Dec-20 at 16:37

            How can I signal a Stream that all of the messages have arrived

            You can do this using Streams and joins. Since joins are limited to 2 topics you'll need to do 2 joins to get the event where all 3 have occurred.

            Join TopicA and TopicB to get the event when A and B have occurred. Join AB with TopicC to get the event where A, B and C occur.

            Source https://stackoverflow.com/questions/70424979


            How to output data to Azure ML Batch Endpoint correctly using python?
            Asked 2021-Nov-30 at 10:09

            When invoking Azure ML Batch Endpoints (creating jobs for inferencing), the run() method should return a pandas DataFrame or an array as explained here

            However this example shown, doesn't represent an output with headers for a csv, as it is often needed.

            The first thing I've tried was to return the data as a pandas DataFrame and the result is just a simple csv with a single column and without the headers.

            When trying to pass the values with several columns and it's corresponding headers, to be later saved as csv, as a result, I'm getting awkward square brackets (representing the lists in python) and the apostrophes (representing strings)

            I haven't been able to find documentation elsewhere, to fix this:



            Answered 2021-Nov-30 at 10:09

            This is the way I found to create a clean output in csv format using python, from a batch endpoint invoke in AzureML:

            Source https://stackoverflow.com/questions/69768602


            Flutter Firebase Realtime Database write/update to multiple nodes at once
            Asked 2021-Oct-19 at 13:35

            I'm using Firebase as the backend to my Flutter project. I need to write to multiple nodes in one transaction. Now I have:



            Answered 2021-Oct-19 at 13:35

            What you are looking for is known as a multi-path write operation, which allows you to write to multiple, non-overlapping paths with a single update call. You can specify the entire path to update for each key, and the database will then set the value you specify at that specific path.

            To generate two separate unique keys, you can call push() twice without any arguments. When called like that, it doesn't actually write to the database, but merely generates a unique reference client-side, that you can then get the key from.

            Combined, it would look something like this:

            Source https://stackoverflow.com/questions/69629744


            Implementing for loops as batches
            Asked 2021-Sep-06 at 10:56

            I'm performing 2 big for loop tasks on a dataframe column. The context being what I'm calling "text corruption"; turning perfectly structured text into text full of both missing punctuation and misspellings, to mimic human errors.

            I found that running 10,000s rows was extremely slow, even after optimizing the for loops.

            I discovered a process called Batching, on this post.

            The top answer provides a concise template that I imagine is much faster than regular for loop iterations.

            How might I use that answer to reimplement the following code? (I added a comment to it asking more about it).

            Or; might there be any technique that makes my for loops considerably quicker?



            Answered 2021-Sep-06 at 10:56

            apply can be used to invoke a function on each row and is much faster than a for loop (vectorized functions are even faster). I've done a few things to make life easier and more performant:

            • convert your text file into a dict. This will be more performant and easier to work with than raw text.
            • put all the corruption logic in a function. This will be easier to maintain and allows us to use apply
            • cleaned up/modified the logic a bit. What I show below is not exactly what you asked but should be easy to adapt.

            ok, here is the code:

            Source https://stackoverflow.com/questions/69072074


            Get status of running worker nodes at regular intervals in spring batch deployer partition handler
            Asked 2021-Aug-25 at 07:31

            I am using deployer partition handler for remote partitioning in spring batch. I want to get the status of each worker node at regular intervals and display it to the user. ( Like heartbeats ). Is there any approach to achieve this ?



            Answered 2021-Aug-25 at 07:31

            This depends on what your workers are doing (simple tasklet or chunk-oriented one) and how they are reporting their progress. Typically, workers share the same job repository as the manager step that launched them, so you should be able to track their StepExecution updates (readCount, writeCount, etc) on that repository using the JobExplorer API.

            If you deploy your job on Spring Cloud DataFlow, you can use the Step execution progress endpoint to track the progress of workers.

            Source https://stackoverflow.com/questions/68918169

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


            No vulnerabilities reported

            Install each

            You can install using 'pip install each' or download it from GitHub, PyPI.
            You can use each 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.


            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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