concrete-python | Python modules and scripts for working with Concrete | Data Manipulation library

 by   hltcoe Python Version: v3.10.0 License: Non-SPDX

kandi X-RAY | concrete-python Summary

kandi X-RAY | concrete-python Summary

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

Python modules and scripts for working with Concrete, a data serialization format for NLP
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              concrete-python has a low active ecosystem.
              It has 14 star(s) with 6 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 428 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of concrete-python is v3.10.0

            kandi-Quality Quality

              concrete-python has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              concrete-python 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

              concrete-python releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              concrete-python saves you 4204 person hours of effort in developing the same functionality from scratch.
              It has 8923 lines of code, 555 functions and 60 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed concrete-python and discovered the below as its top functions. This is intended to give you an instant insight into concrete-python implemented functionality, and help decide if they suit your requirements.
            • Helper function to format CoLL - style
            • Returns a list of character offsets for a given tokenization
            • Return a list of dependencies for the given tokenization
            • Return a list of all dep tags for the given tokenization
            • Create a Communication object
            • Create an instance of the model
            • Split a string into sections
            • Print the metadata of the givenCommunication
            • Return lst
            • Load a tar file
            • Create a communication term
            • Prints a list of tokens with entity mentions
            • Read the content of an IProt
            • Add POS tagging tags
            • Inspect the dependency parse tree
            • Prints a list of entities
            • Write obj to redis
            • Prints a list of Situations
            • Print section of comm
            • Filter annotations based on annotations
            • Prints a list of situation mentions
            • Prints the tokens associated with a comm
            • Process getCommunicationIDs request
            • Process a register search result
            • Read this object from an IProt
            • Compress the given comm
            • Creates a Communication object from a Tweet
            Get all kandi verified functions for this library.

            concrete-python Key Features

            No Key Features are available at this moment for concrete-python.

            concrete-python Examples and Code Snippets

            Mesh to filled voxel grid
            Pythondot img1Lines of Code : 12dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            voxels.cell_centers().plot(render_points_as_spheres=True)
            
            import pyvista as pv
            
            tetra = pv.voxelize(pv.Tetrahedron(), density=0.1)
            tetra.plot(scalars='vtkOriginalCellIds')
            
            from pyvista.demo
            Error Training Custom COCO Dataset with Detectron2
            Pythondot img2Lines of Code : 15dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # Register datasets
            from detectron2.data.datasets import register_coco_instances
            for d in ["train", "validation"]:
                register_coco_instances(f"segmentation_{d}", {}, f"/content/drive/MyDrive/Segmentation Annotations/{d}.json", f"/content
            Calculate total litres required to fill carpark using python3
            Pythondot img3Lines of Code : 12dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            length = float(input('Length of park (m):'))
            
            width = float(input('Width of park (m):'))
            
            squared = float(input('Litres per square metre:'))
            
            total = length * width * squared # calculate total metres to get answer
            
            print("Litres Required =
            Slow dnf to cnf in pycosat
            Pythondot img4Lines of Code : 278dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # Uses pseudo-namespacing to avoid collisions.
            _EXT_SUFFIX = "___"
            _NEXT_EXT_INDEX = 0
            
            
            def is_ext_var(element) -> bool:
                return element.endswith(_EXT_SUFFIX)
            
            
            def ext_var() -> str:
                global _NEXT_EXT_INDEX
                ext_index = _NE
            Multiple Python Inheritance with abstract class calls __new__ method wrong number of arguments
            Pythondot img5Lines of Code : 46dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from abc import ABC, abstractmethod
            
            class Language():
                English = 'english'
            
            class AbstractSpeaker(ABC):
                @abstractmethod
                def say_hello(self)->None:
                     pass
            
                """... other abstract and maybe even concrete methods ..."
            LSTM Regression issues with masking and intuition (keras)
            Pythondot img6Lines of Code : 10dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            [-2.39 -2.54 -2.23 -2.24 -2.29 -2.37 -2.39 -2.10 -2.34 -2.20]
            [-2.28 -2.43 -2.25 -2.33 -2.28 -2.42 -2.26 -2.19 -2.37 -2.25]
            [-2.43 -2.44 -2.25 -2.33 -2.33 -2.37 -2.30 -2.10 -2.37 -2.17]
            [-2.33 -2.43 -2.28 -2.27 -2.34 -2.34 -2.28 -2.16 -2.3
            Python: Testing abstract class with concrete implementation details
            Pythondot img7Lines of Code : 7dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class TestAnimal(Animal):
                def description(self):
                    return "foo"
            
            
            assert TestAnimal().zoo_str() == "fooGet more info at zoo.com!"
            
            PySpark applyinpands/grouped_map pandas_udf too many arguments
            Pythondot img8Lines of Code : 35dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            A.func(A(), *args, **kwargs) == A().func(*args, **kwargs)
            
            import functools
            import inspect
            
            
            class A:
                def __init__(self, y):
                    self.y = y
            
                def sum(self, a: int, b: int):
                    return (a + b) * self.y
            How to do run-length encoding without creating sublists?
            Pythondot img9Lines of Code : 37dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from itertools import groupby
            
            def modified_encode(alist):
                def ctr_ele(el):
                    if len(el)>1:
                        return [len(el), el[0]]
                    else:
                        return [ el[0] ]   # <--- return list with single element
                
                re
            Sum a Nested List with condition in python
            Pythondot img10Lines of Code : 6dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from collections import Counter
            
            c = Counter()
            for name, value in inputs:
                c[name] += float(value)
            

            Community Discussions

            QUESTION

            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:

            ...

            ANSWER

            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866

            QUESTION

            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            I've the following table

            Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:48

            One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

            Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

            Source https://stackoverflow.com/questions/71478316

            QUESTION

            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:

            ...

            ANSWER

            Answered 2022-Mar-10 at 04:12

            We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

            Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

            Source https://stackoverflow.com/questions/71418533

            QUESTION

            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

            ...

            ANSWER

            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995

            QUESTION

            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033

            QUESTION

            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

            ...

            ANSWER

            Answered 2021-Dec-12 at 05:22

            With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

            Source https://stackoverflow.com/questions/70320648

            QUESTION

            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            Good afternoon, friends!

            I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

            My df is:

            ...

            ANSWER

            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158

            QUESTION

            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

            ...

            ANSWER

            Answered 2022-Feb-03 at 10:59
            library(tidyverse)
            
            example %>% 
              pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
              pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
              filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
              mutate(pwr = parse_number(pwr)) %>% 
              arrange(pwr, es, type)
            

            Source https://stackoverflow.com/questions/70969176

            QUESTION

            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

            ...

            ANSWER

            Answered 2021-Dec-26 at 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731

            QUESTION

            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

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

            Vulnerabilities

            No vulnerabilities reported

            Install concrete-python

            You can install using 'pip install concrete-python' or download it from GitHub, PyPI.
            You can use concrete-python 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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