haul | An Extensible Image Crawler | Crawler library

 by   vinta Python Version: Current License: MIT

kandi X-RAY | haul Summary

kandi X-RAY | haul Summary

haul is a Python library typically used in Automation, Crawler applications. haul 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.

An Extensible Image Crawler
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            kandi-support Support

              haul has a low active ecosystem.
              It has 145 star(s) with 36 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 6 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of haul is current.

            kandi-Quality Quality

              haul has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              haul is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              haul releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              haul saves you 4361 person hours of effort in developing the same functionality from scratch.
              It has 9239 lines of code, 59 functions and 27 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed haul and discovered the below as its top functions. This is intended to give you an instant insight into haul implemented functionality, and help decide if they suit your requirements.
            • Find images in url_or_html
            • Retrieves images from the server
            • Start the extraction pipeline
            • Start finder pipeline
            • Retrieve the content of the given URL
            • Parses the given html
            • Import a module member
            • Import a module
            Get all kandi verified functions for this library.

            haul Key Features

            No Key Features are available at this moment for haul.

            haul Examples and Code Snippets

            No Code Snippets are available at this moment for haul.

            Community Discussions

            QUESTION

            Need help in MS Excel for extraction
            Asked 2022-Mar-22 at 08:24

            Need help to extract alphanumeric string from a cell IN EXCEL 2013/2016 Example cells:

            ...

            ANSWER

            Answered 2022-Mar-22 at 08:24

            From your current sample you may utilize FILTERXML() function.

            Source https://stackoverflow.com/questions/71568743

            QUESTION

            Showing that Greedy algorithm exhibits optimal substructure and greedy choice
            Asked 2022-Mar-21 at 07:01

            I am in need of help proving that an algorithm has greedy choice property and optimal substructure.

            Context of the problem:

            Consider a problem where a company owns n gas stations that are connected by a highway. Each gas station has a limited supply g_i of gas-cans. Since the company don't know which gas station is most visited they want all of them to have the same amount of gas.

            So they hire a fueling-truck to haul gas between the stations in their truck. However, truck also consumes 1 gas-can per kilometer driven.

            Your task will be to help the chain calculate the largest amount of gas-cans g_bar they can have at all Stations.

            Consider the example: Here we have g = (20, 40, 80, 10, 20) and p = (0, 5, 13, 33, 36) (in kilometers). In order to send one gas-can from station 3 to station 4 we need to put 41 gas-cans in the truck, as the fueling-truck will consume 40 before reaching their destination (to send two gas-cans we need to put 42 in the truck). The optimal g_bar for the example is 21 and can be achieved as follows:

            1. Station 2 sends 11 gas-cans towards Station 1. One gas-can arrives while ten are consumed on the way.

            2. Station 3 sends 59 gas-cans towards Station 4. 19 arrive while 40 are consumed on the way.

            3. Station 4 now has 29 gas-cans and send eight towards Station 5. Two of these arrive and six are consumed on the way.

            4. The final distribution of gas-cans is: (21, 29, 21, 21, 22).

            Given an integer g_bar. Determine whether it is possible to get at least g_bar gas-cans in every Gas Station.

            in order for the greedy choice property and optimal substructure to make sense for a decision problem, you can define an optimal solution to be a solution with at least g_bar gas-cans in every gas station if such a solution exists; otherwise, any solution is an optimal solution.

            Input: The position p_i and gas-can supply g_i of each bar. Here g_i is the supply for the bar at position p_i. You may assume that the positions are in sorted order – i.e. p_1 < p_2 < . . . < p_n.

            Output: The largest amount g_bar, such that each gas-station can have a gas-can supply of at least g_bar after the truck have transferred gas-cans between the stations.

            How can i prove Greedy Choice and Optimal Substructure for this?

            ...

            ANSWER

            Answered 2022-Mar-20 at 06:03

            Let's define an optimal solution: Each station has at least X gas cans in each station (X = g_bar).

            Proving greedy property

            Let us assume our solution is sub-optimal. There must exist a station i such that gas[i] < X. Based on our algorithm, we borrow X - gas[i] from station i+1 (which is a valid move, since we had already found a solution). Now station i has gas = X. This contradicts the original assumption that there must exist a station i such that gas[i] < X, which means our solution isn't suboptimal. Hence, we prove the optimality.

            Proving optimal substructure

            Assume we have a subset of the stations of size N', and our solution is suboptimal. Again, if the solution is suboptimal, there must exist a station i such that gas[i] < X. You can use the greedy proof again to prove that our solution isn't suboptimal. Since we have optimal solution for each arbitrary subset, we prove that we have optimal substructure.

            Source https://stackoverflow.com/questions/71540628

            QUESTION

            Problem using rep() in R. Invalid "times" argument
            Asked 2022-Mar-15 at 16:02

            I looked for a solution in the forum but I didn´t get any.

            I´m working with a fish database and I´m trying to transform my data frame from this (MRE):

            ...

            ANSWER

            Answered 2022-Mar-15 at 16:02

            The error is most likely caused by NA values in number. You'll have to deal with these first, either by dropping them or, if you want to retain them in the output, replacing NA with some value. Here's how to do both, using either base R or {tidyr}.

            Remove rows with NAs

            base R:

            Source https://stackoverflow.com/questions/71481554

            QUESTION

            Removing words from sentence when in lookup dataframe
            Asked 2021-Dec-07 at 21:13

            I have two dataframes, the one contains Reviews for cars and the second one contains the car make and car model. What I would like to do is use the car model df_brand['name'] to be used to lookup every word in the Review sentence df['Review'] and remove matching words. I would like to remove all the words that contain car brands in them.

            Input data df['Review']:

            ...

            ANSWER

            Answered 2021-Dec-07 at 20:57

            Your problem wasn't quite condensed enough to reproduce, or to see the desired output, but your basic approach is fine. You may run into issues with misspellings, in which case maybe use an edit distance with a threshold for determining whether to take out the stopword. Here's my version of your code that seems to do fine

            Source https://stackoverflow.com/questions/70265404

            QUESTION

            Transforming sentences to Numbers using SciKit-Learn’s CountVectorizer()
            Asked 2021-Dec-06 at 19:26

            I am trying to convert a input sentence Review into a CountVectorizer. I am struggling to handle the sentences that are passed through. How do I deal with the sentences and add vectors to these? Any assistance will be highly appreciated.

            Input Data:

            ...

            ANSWER

            Answered 2021-Dec-06 at 19:26

            You don't need the looping. From the documentation:

            Source https://stackoverflow.com/questions/70237974

            QUESTION

            Porter Stemmer algorithm not working through the sentences row by row
            Asked 2021-Dec-05 at 13:31

            I am trying to run sentences through the Porter Stemmer algorithm, however am getting and error: AttributeError: 'list' object has no attribute 'lower'. can anyone assist, as I am not able to identify the problem:

            Here is my input:

            ...

            ANSWER

            Answered 2021-Dec-05 at 09:04

            The word_tokenize function returns a list of tokens. You therefore need a second for-loop or a list comprehension:

            Source https://stackoverflow.com/questions/70232735

            QUESTION

            Performing loop on js objects and then use map method instead of calling component again and again
            Asked 2021-Nov-14 at 16:18

            Need help in React…I converted the complex xml file into js object format. After converting the xml file, the js object are stored in ress variable that is showing in the picture. We are storing the different partial transcript in different variables. Is there any way to do it using loop and split it with regular expression in each iteration. So it would he easy for me to use map method instead of calling the component again and again for each partial transcript.

            ...

            ANSWER

            Answered 2021-Nov-14 at 16:18

            QUESTION

            How do I change a dataframe in a nested list to a list
            Asked 2021-Nov-03 at 13:15

            I have a data frame with three columns (Category, Sub.category and Acitivty). I need a nested list, with these three levels to put into shinyTree.

            I'm trying to match the format of this .Rds file to create a shinyTree.

            My full table is 99 lines, I've included 30 below, but may need to do over 100+ in the same way.

            So far I've got

            ...

            ANSWER

            Answered 2021-Nov-03 at 13:15

            Here is a possible approach using rrapply() in the rrapply-package to unmelt the data.frame to a nested list:

            Source https://stackoverflow.com/questions/69804732

            QUESTION

            y should be a 1d array, got an array of shape () instead
            Asked 2021-Sep-15 at 05:44

            I have a trained and saved a model. I am trying to further train the model on new data but it gives error. Relevant part of the code:

            ...

            ANSWER

            Answered 2021-Sep-15 at 05:44

            I cleaned up the code and made several changes to retrain function, Now the function would add a new String and Label to the trainset and fit the classifier again. Other parts of your code stay the same logically!

            Utility functions:

            Source https://stackoverflow.com/questions/69175603

            QUESTION

            Flip Boxes won't work on Mac, but are working on phones
            Asked 2021-May-11 at 04:44

            I thought I had everything covered, but I'm now having issues with flip boxes working on Mac. I was able to make them compatible with different browsers on phones. I had someone with a Mac say that they were having problems with the animation. I heard that they saw a weird blinking and can see the front of the card through the back. I'm not sure what I'm missing. The last time I had this issue was with iOS, but I was just missing one line of code. Any suggestions? Honestly, I'm winging this as I go and can use any guidance.

            ...

            ANSWER

            Answered 2021-May-08 at 14:47

            Answer: justify-content: center;

            (You had a typo)

            Source https://stackoverflow.com/questions/67390541

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

            Vulnerabilities

            No vulnerabilities reported

            Install haul

            You can download it from GitHub.
            You can use haul 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.

            Support

            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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          • HTTPS

            https://github.com/vinta/haul.git

          • CLI

            gh repo clone vinta/haul

          • sshUrl

            git@github.com:vinta/haul.git

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