segment | segment text based on frequencies and the Viterbi algorithm

 by   willf Python Version: Current License: No License

kandi X-RAY | segment Summary

kandi X-RAY | segment Summary

segment is a Python library. segment has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can download it from GitHub.

This module segments text according word frequency using the Viterbi algorithm. Probably due to Peter Norvig somehow. Three sources of frequency information is provided. One is from the Google NGram corpus, a general web corpus. The second is from the Rovereto Twitter N-Gram Corpus, which is better for some Twitter data. The third is from a webcrawl dataset of anchor text provided by Vinay Goel of the Internet Archive.
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            kandi-support Support

              segment has a highly active ecosystem.
              It has 78 star(s) with 14 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of segment is current.

            kandi-Quality Quality

              segment has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              segment does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              segment 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.
              Installation instructions are not available. Examples and code snippets are available.
              segment saves you 41 person hours of effort in developing the same functionality from scratch.
              It has 110 lines of code, 9 functions and 8 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed segment and discovered the below as its top functions. This is intended to give you an instant insight into segment implemented functionality, and help decide if they suit your requirements.
            • Segment the text in the given string .
            • Initialize dictionary .
            • Return the contents of a file .
            • Return the frequency of a word .
            Get all kandi verified functions for this library.

            segment Key Features

            No Key Features are available at this moment for segment.

            segment Examples and Code Snippets

            r Aggregate a segment .
            pythondot img1Lines of Code : 103dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _ragged_segment_aggregate(unsorted_segment_op,
                                          data,
                                          segment_ids,
                                          num_segments,
                                          separator=None,
                                            
            r Converts a list of segment ids to row chunks .
            pythondot img2Lines of Code : 58dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def segment_ids_to_row_splits(segment_ids, num_segments=None,
                                          out_type=None, name=None):
              """Generates the RaggedTensor `row_splits` corresponding to a segmentation.
            
              Returns an integer vector `splits`, where `splits[  
            Unsorted segment mean .
            pythondot img3Lines of Code : 48dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def unsorted_segment_mean(data, segment_ids, num_segments, name=None):
              r"""Computes the mean along segments of a tensor.
            
              Read [the section on
              segmentation](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/math#about_segmentation)
                

            Community Discussions

            QUESTION

            How to produce a point graph in R like this?
            Asked 2021-Jun-16 at 04:05

            I have basically this very odd type of data frame:

            The first column is the name of the States (say I have 3 states), the second to the last column (say I have 5 columns) contains some values recorded at different dates (not continuous). I want to create a graph that plots the values for each State on the range of the dates that starts from the earliest and end in the latest dates (continuous).

            The table looks like this:

            state 2020-01-01 2020-01-05 2020-01-06 2020-01-10 AZ NA 0.078 -0.06 NA AK 0.09 NA NA 0.10 MS 0.19 0.21 NA 0.38

            "NA" means there is not data.

            How do I produce this graph in which the x axis is from 2020-01-01 to 2020-01-10 (continuous), the y axis contains the changing values (as points) of the three States, each state occupies its separate (segmented) y-axis?

            Thank you.

            ...

            ANSWER

            Answered 2021-Jun-16 at 03:41

            You can get the data into a long format, which makes it easier to plot. R will make it difficult to read column names that start with a number. While reading the data, ensure that you have check.names = FALSE so that column names are read as is.

            Source https://stackoverflow.com/questions/67995623

            QUESTION

            Segmentation fault while calculating the intersection of two sets
            Asked 2021-Jun-15 at 15:05

            I need to find the intersection of two arrays and print out the number of elements in the intersection of the two arrays. I must also account for any duplicate elements in both the arrays. So, I decide to take care of the duplicate elements by converting the two arrays into sets and then take the intersection of both the sets. However, I encounter a segmentation fault when I run my code. I'm not sure where this occurs, any way to fix this?

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:37

            set_intersection does not allocate memory: https://en.cppreference.com/w/cpp/algorithm/set_intersection

            You need a vector with some space. Change vector v; to vector v(n+m);

            https://ideone.com/NvoZBu

            Source https://stackoverflow.com/questions/67988250

            QUESTION

            Raku: Attempt to divide by zero when coercing Rational to Str
            Asked 2021-Jun-15 at 13:44

            I am crunching large amounts of data without a hitch until I added more data. The results are written to file as strings, but I received this error message and I am unable to find programming error after combing my codes for 2 days; my codes have been working fine before new data were added.

            ...

            ANSWER

            Answered 2021-Jun-15 at 07:04

            First of all: a Rat with a denominator of 0 is a perfectly legal Rational value. So creating a Rat with a 0 denominator will not throw an exception on creation.

            I see two issues really:

            • how do you represent a Rat with a denominator of 0 as a string?
            • how do you want your program to react to such a Rat?

            When you represent a Rats as a string, there is a good chance you will lose precision:

            Source https://stackoverflow.com/questions/67980761

            QUESTION

            Crash on a protocol witness related issue
            Asked 2021-Jun-15 at 13:26

            In my iOS app "Progression" there is rarely a crash (1 crash in ~1000+ Sessions) I am currently not able to fix. The message is

            Progression: protocol witness for TrainingSetSessionManager.update(object:weight:reps:) in conformance TrainingSetSessionDataManager + 40

            This crash points me to the following method:

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:26

            While editing my initial question to add more context as Jay proposed I think it found the issue.

            What probably happens? The view where the crash is, contains a table view. Each cell will be configured before being presented. I use a flag which holds the information, if the amount of weight for this cell (it is a strength workout app) has been initially set or is a change. When prepareForReuse is being called, this flag has not been reset. And that now means scrolling through the table view triggers a DB write for each reused cell, that leads to unnecessary writes to the db. Unnecessary, because the exact same number is already saved in the db.

            My speculation: Scrolling fast could maybe lead to a race condition (I have read something about that issue with realm) and that maybe causes this weird crash, because there are multiple single writes initiated in a short time.

            Solution: I now reset the flag on prepareForReuse to its initial value to prevent this misbehaviour.

            The crash only happens when the cell is set up and the described behaviour happens. Therefor I'm quite confident I fixed the issue finally. Let's see. -- I was not able to reproduce the issue, but it also only happens pretty rare.

            Source https://stackoverflow.com/questions/67947819

            QUESTION

            Is it safe to delete the cleaner-offset-checkpoint file to force the compaction?
            Asked 2021-Jun-15 at 13:24

            I need a way to force the compaction of the __consumer_offsets topic. In a test environment I tried to delete the file cleaner-offset-checkpoint and then kafka deleted many segments as you can see below. Is it safe to delete this file in a production environment?

            Before removing cleaner-offset-checkpoint:

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:24

            cleaner-offset-checkpoint is in kafka logs directory. This file keeps the last cleaned offset of the topic partitions in the broker like below.

            Source https://stackoverflow.com/questions/67982650

            QUESTION

            Linear interpolation to find y values
            Asked 2021-Jun-15 at 12:37

            I have a dataframe:

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:37

            The format of df seems weird (data points in columns, not rows).

            Below is not the cleanest solution at all:

            Source https://stackoverflow.com/questions/67986112

            QUESTION

            error segmentation fault in dynamic array
            Asked 2021-Jun-15 at 11:51

            I am solving this problem on dynamic array in which input first line contains two space-separated integers,n, the size of arr to create, and q, the number of queries, respectively. Each of the q subsequent lines contains a query string,queries[i]. it expects to return int[]: the results of each type 2 query in the order they are presented.

            i tried to attempt as below and my code seems fine to me but it gives segmentation fault error. please help me where I am getting conceptually wrong. thanks.

            problem: Declare a 2-dimensional array,arr , of n empty arrays. All arrays are zero indexed. Declare an integer,last answer , and initialize it to zero.

            There are 2 types of queries, given as an array of strings for you to parse:

            Query: 1 x y

            Let idx=((queries[i][1]^last_answer)%n);. Append the integer y to arr[idx].

            Query: 2 x y

            Let idx=((queries[i][1]^last_answer)%n);. Assign last_answer=arr[idx][queries[i][2]%(arr[idx].size())] . Store the new value of last_answer to an answers array.

            input: 2 5

            1 0 5

            1 1 7

            1 0 3

            2 1 0

            2 1 1

            output:

            7

            3

            ...

            ANSWER

            Answered 2021-Jun-15 at 11:25

            You are accessing elements of vector without allocating them.

            resize() is useful to allocate elements.

            Source https://stackoverflow.com/questions/67985309

            QUESTION

            Polygonization of disjoint segments
            Asked 2021-Jun-15 at 06:36

            The problem is the following: I got a png file : example.png

            • that I filter using chan vese of skimage.segmentation.chan_vese

              • It's return a png file in black and white.
            • i detect segments around my new png file with cv2.ximgproc.createFastLineDetector()

              • it's return a list a segment

            But the list of segments represent disjoint segments.

            I use two naive methods to polygonize this list of segment:

            -It's seems that cv2.ximgproc.createFastLineDetector() create a almost continuous list so I just join by creating new segments:

            ...

            ANSWER

            Answered 2021-Jun-15 at 06:36

            So I use another library to solve this problem: OpenCV-python

            We got have also the detection of segments( which are not disjoint) but with a hierarchy with the function findContours. The hierarchy is useful since the function detects different polygons. This implies no problems of connections we could have with the other method like explain in the post

            Source https://stackoverflow.com/questions/67932354

            QUESTION

            image distance transform different xyz voxel sizes
            Asked 2021-Jun-15 at 02:32

            I would like to find minimum distance of each voxel to a boundary element in a binary image in which the z voxel size is different from the xy voxel size. This is to say that a single voxel represents a 225x110x110 (zyx) nm volume.

            Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html) but this gives the assume that isotropic sizes of the voxel:

            ...

            ANSWER

            Answered 2021-Jun-15 at 02:32

            Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt but this gives the assume that isotropic sizes of the voxel:

            It does no such thing! You are looking for the sampling= parameter. From the latest version of the docs:

            Spacing of elements along each dimension. If a sequence, must be of length equal to the input rank; if a single number, this is used for all axes. If not specified, a grid spacing of unity is implied.

            The wording "sampling" or "spacing" is probably a bit mysterious if you think of pixels as little squares/cubes, and that is probably why you missed it. In most situations, it is better to think of pixels as point samples on a grid, with fixed spacing between samples. I recommend Alvy Ray's a pixel is not a little square for a better understanding of this terminology.

            Source https://stackoverflow.com/questions/67961571

            QUESTION

            Segmentation fault using np.cov while serving a flask app via waitress
            Asked 2021-Jun-14 at 09:34

            I wanted to perform a simple calculation of the covariance within a more complex flask app. Below I created a minimal random example without flask (which is actually working) of the calculation causing the problems (in the flask/waitress setup).

            ...

            ANSWER

            Answered 2021-Jun-14 at 09:34

            Updating all packages solved the issue

            Source https://stackoverflow.com/questions/67940287

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

            Vulnerabilities

            No vulnerabilities reported

            Install segment

            You can download it from GitHub.
            You can use segment 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://github.com/willf/segment.git

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            gh repo clone willf/segment

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            git@github.com:willf/segment.git

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