Mon, 21 Apr 2025

Package crossmap updated to version 0.4.1 with previous version 0.4.0 dated 2023-01-12

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between crossmap versions 0.4.0 dated 2023-01-12 and 0.4.1 dated 2025-04-21

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Package sicure updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-04

Title: Single-Index Mixture Cure Models
Description: Single-index mixture cure models allow estimating the probability of cure and the latency depending on a vector (or functional) covariate, avoiding the curse of dimensionality. The vector of parameters that defines the model can be estimated by maximum likelihood. A nonparametric estimator for the conditional density of the susceptible population is provided. For more details, see PiƱeiro-Lamas (2024) (<https://ruc.udc.es/dspace/handle/2183/37035>). Funding: This work, integrated into the framework of PERTE for Vanguard Health, has been co-financed by the Spanish Ministry of Science, Innovation and Universities with funds from the European Union NextGenerationEU, from the Recovery, Transformation and Resilience Plan (PRTR-C17.I1) and from the Autonomous Community of Galicia within the framework of the Biotechnology Plan Applied to Health.
Author: Beatriz Pineiro-Lamas [aut, cre] , Ana Lopez-Cheda [aut], Ricardo Cao [aut]
Maintainer: Beatriz Pineiro-Lamas <b.pineiro.lamas@udc.es>

Diff between sicure versions 0.1.0 dated 2024-11-04 and 0.1.1 dated 2025-04-21

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More information about sicure at CRAN
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Package shinydashboard updated to version 0.7.3 with previous version 0.7.2 dated 2021-09-30

Title: Create Dashboards with 'Shiny'
Description: Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.
Author: Winston Chang [aut, cre], Barbara Borges Ribeiro [aut], Posit Software, PBC [cph], Almasaeed Studio [ctb, cph] , Adobe Systems Incorporated [ctb, cph]
Maintainer: Winston Chang <winston@posit.co>

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Package rrcov updated to version 1.7-7 with previous version 1.7-6 dated 2024-08-19

Title: Scalable Robust Estimators with High Breakdown Point
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point: principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>), linear and quadratic discriminant analysis (Todorov and Pires (2007)), multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>), outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>). See also Todorov and Filzmoser (2009) <urn:isbn:978-3838108148>, Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.
Author: Valentin Todorov [aut, cre]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between rrcov versions 1.7-6 dated 2024-08-19 and 1.7-7 dated 2025-04-21

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Package HiGarrote updated to version 1.1.1 with previous version 1.1.0 dated 2025-04-20

Title: Nonnegative Garrote Method Incorporating Hierarchical Relationships
Description: An implementation of the nonnegative garrote method that incorporates hierarchical relationships among variables. The core function, HiGarrote(), offers an automated approach for analyzing experiments while respecting hierarchical structures among effects. For methodological details, refer to Yu and Joseph (2024) <doi:10.48550/arXiv.2411.01383>. This work is supported by U.S. National Science Foundation grant DMS-2310637.
Author: Wei-Yang Yu [aut, cre], V. Roshan Joseph [aut]
Maintainer: Wei-Yang Yu <wyu322@gatech.edu>

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Package FatTailsR updated to version 2.0.0 with previous version 1.8-5 dated 2024-03-03

Title: Kiener Distributions and Fat Tails in Finance and Neuroscience
Description: Kiener distributions K1, K2, K3, K4 and K7 to characterize distributions with left and right, symmetric or asymmetric fat tails in finance, neuroscience and other disciplines. Two algorithms to estimate the distribution parameters, quantiles, value-at-risk and expected shortfall. IMPORTANT: Standardization has been changed in versions >= 2.0.0 to get sd = 1 when kappa = Inf rather than 2*pi/sqrt(3) in versions <= 1.8.6. This affects parameter g (other parameters stay unchanged). Do not update if you need consistent comparisons with previous results for the g parameter.
Author: Patrice Kiener [aut, cre]
Maintainer: Patrice Kiener <fattailsr@inmodelia.com>

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Package basictabler updated to version 1.0.4 with previous version 1.0.2 dated 2021-06-26

Title: Construct Rich Tables for Output to 'HTML'/'Excel'
Description: Easily create tables from data frames/matrices. Create/manipulate tables row-by-row, column-by-column or cell-by-cell. Use common formatting/styling to output rich tables as 'HTML', 'HTML widgets' or to 'Excel'.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>

Diff between basictabler versions 1.0.2 dated 2021-06-26 and 1.0.4 dated 2025-04-21

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More information about basictabler at CRAN
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Package MIIPW updated to version 0.1.2 with previous version 0.1.1 dated 2023-02-13

Title: IPW and Mean Score Methods for Time-Course Missing Data
Description: Contains functions for data analysis of Repeated measurement using GEE. Data may contain missing value in response and covariates. For parameter estimation through Fisher Scoring algorithm, Mean Score and Inverse Probability Weighted method combining with Multiple Imputation are used when there is missing value in covariates/response. Reference for mean score method, inverse probability weighted method is Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

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Package zeitgebr updated to version 0.3.6 with previous version 0.3.5 dated 2020-04-25

Title: Analysis of Circadian Behaviours
Description: Use behavioural variables to compute period, rhythmicity and other circadian parameters. Methods include computation of chi square periodograms (Sokolove and Bushell (1978) <DOI:10.1016/0022-5193(78)90022-X>), Lomb-Scargle periodograms (Lomb (1976) <DOI:10.1007/BF00648343>, Scargle (1982) <DOI:10.1086/160554>, Ruf (1999) <DOI:10.1076/brhm.30.2.178.1422>), and autocorrelation-based periodograms.
Author: Quentin Geissmann [aut, cre], Luis Garcia [aut]
Maintainer: Quentin Geissmann <qgeissmann@gmail.com>

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Package snplist updated to version 0.18.3 with previous version 0.18.2 dated 2021-10-09

Title: Tools to Create Gene Sets
Description: A set of functions to create SQL tables of gene and SNP information and compose them into a SNP Set, for example to export to a PLINK set.
Author: Chanhee Yi [aut], Alexander Sibley [aut, cre], Kouros Owzar [aut]
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>

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Package RCTRecruit updated to version 0.2.0 with previous version 0.1.24 dated 2025-01-15

Title: Non-Parametric Recruitment Prediction for Randomized Clinical Trials
Description: Accurate prediction of subject recruitment for Randomized Clinical Trials (RCT) remains an ongoing challenge. Many previous prediction models rely on parametric assumptions. We present functions for non-parametric RCT recruitment prediction under several scenarios.
Author: Ioannis Malagaris [aut, cre, cph] , Alejandro Villasante-Tezanos [aut], Christopher Kurinec [aut], Xiaoying Yu [aut]
Maintainer: Ioannis Malagaris <iomalaga@utmb.edu>

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Package LeadSense updated to version 0.0.2.0 with previous version 0.0.1.0000 dated 2025-02-12

Title: Medtronic Brain Sense Local Field Potencial Analysis
Description: Extracts and creates an analysis pipeline for the JSON data files from Brain Sense sessions using Medtronic's Deep Brain Stimulation surgery electrode implants.
Author: Paulo Bastos [aut, cre], Raquel Barbosa [aut]
Maintainer: Paulo Bastos <pauloandrediasbastos01@gmail.com>

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Package damr updated to version 0.3.8 with previous version 0.3.7 dated 2020-11-16

Title: Interface to Drosophila Activity Monitor System Result Files
Description: Loads behavioural data from the widely used Drosophila Activity Monitor System (DAMS, TriKinetics <https://trikinetics.com/>) into the rethomics framework.
Author: Quentin Geissmann [aut, cre], Hadley Wickham [aut]
Maintainer: Quentin Geissmann <qgeissmann@gmail.com>

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Package partsm updated to version 1.1-4 with previous version 1.1-3 dated 2020-11-25

Title: Periodic Autoregressive Time Series Models
Description: Basic functions to fit and predict periodic autoregressive time series models. These models are discussed in the book P.H. Franses (1996) "Periodicity and Stochastic Trends in Economic Time Series", Oxford University Press. Data set analyzed in that book is also provided. NOTE: the package was orphaned during several years. It is now only maintained, but no major enhancements are expected, and the maintainer cannot provide any support.
Author: Javier Lopez-de-Lacalle [aut, cph], Matthieu Stigler [cre]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

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Package clustur updated to version 0.1.3 with previous version 0.1.2 dated 2025-04-14

Title: Clustering
Description: A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.
Author: Gregory Johnson [aut] , Sarah Westcott [aut], Patrick Schloss [aut, cre, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>

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Package flip updated to version 2.5.1 with previous version 2.5.0 dated 2018-08-25

Title: Multivariate Permutation Tests
Description: It implements many univariate and multivariate permutation (and rotation) tests. Allowed tests: the t one and two samples, ANOVA, linear models, Chi Squared test, rank tests (i.e. Wilcoxon, Mann-Whitney, Kruskal-Wallis), Sign test and Mc Nemar. Test on Linear Models are performed also in presence of covariates (i.e. nuisance parameters). The permutation and the rotation methods to get the null distribution of the test statistics are available. It also implements methods for multiplicity control such as Westfall & Young minP procedure and Closed Testing (Marcus, 1976) and k-FWER. Moreover, it allows to test for fixed effects in mixed effects models.
Author: Livio Finos [cre, aut]
Maintainer: Livio Finos <livio.finos@unipd.it>

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Package threejs updated to version 0.3.4 with previous version 0.3.3 dated 2020-01-21

Title: Interactive 3D Scatter Plots, Networks and Globes
Description: Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>).
Author: B. W. Lewis [aut, cre, cph], Three.js authors [cph] , jQuery Foundation [cph] , Alexey Stukalov [ctb], Yihui Xie [ctb], Andreas Briese [ctb], B. Thieurmel [ctb]
Maintainer: B. W. Lewis <blewis@illposed.net>

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Package overtureR updated to version 0.2.5 with previous version 0.2.4 dated 2024-12-10

Title: Load 'Overture' Datasets as 'dbplyr' and 'sf'-Ready Data Frames
Description: An integrated R interface to the 'Overture' API (<https://docs.overturemaps.org/>). Allows R users to return 'Overture' data as 'dbplyr' data frames or materialized 'sf' spatial data frames.
Author: Arthur Gailes [aut, cre, cph]
Maintainer: Arthur Gailes <agailes1@gmail.com>

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Package ecipex updated to version 1.1.1 with previous version 1.1 dated 2020-03-13

Title: Efficient Calculation of Fine Structure Isotope Patterns via Fourier Transforms of Simplex-Based Elemental Models
Description: Provides a function that quickly computes the fine structure isotope patterns of a set of chemical formulas to a given degree of accuracy (up to the limit set by errors in floating point arithmetic). A data-set comprising the masses and isotopic abundances of individual elements is also provided and calculation of isotopic gross structures is also supported.
Author: Andreas Ipsen [aut, cre]
Maintainer: Andreas Ipsen <andreas.b.ipsen@gmail.com>

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Package stplanr updated to version 1.2.3 with previous version 1.2.2 dated 2024-08-22

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. The package was originally developed to support the 'Propensity to Cycle Tool', a publicly available strategic cycle network planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has since been extended to support public transport routing and accessibility analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012> and routing with locally hosted routing engines such as 'OSRM' (Lowans et al. 2023) <doi:10.1016/j.enconman.2023.117337>. The main functions are for creating and manipulating geographic "desire lines" from origin-destination (OD) data (building on the 'od' package); calculating routes on the transport network locally and via interfaces to routing services such as <https://cyclestreets.net/> (Desjardins et al. 2021) <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes such as bearing. The package imp [...truncated...]
Author: Robin Lovelace [aut, cre] , Richard Ellison [aut], Malcolm Morgan [aut] , Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] , Mark Padgham [ctb], Zhao Wang [ctb] , Andrea Gilardi [ctb] , Josiah Parry [ctb] , M [...truncated...]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package gsaot updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-10

Title: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Description: Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
Author: Leonardo Chiani [aut, cre, cph] , Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]
Maintainer: Leonardo Chiani <leonardo.chiani@polimi.it>

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Package wrTopDownFrag updated to version 1.0.4 with previous version 1.0.2 dated 2020-09-08

Title: Internal Fragment Identification from Top-Down Mass Spectrometry
Description: Top-Down mass spectrometry aims to identify entire proteins as well as their (post-translational) modifications or ions bound (eg Chen et al (2018) <doi:10.1021/acs.analchem.7b04747>). The pattern of internal fragments (Haverland et al (2017) <doi:10.1007/s13361-017-1635-x>) may reveal important information about the original structure of the proteins studied (Skinner et al (2018) <doi:10.1038/nchembio.2515> and Li et al (2018) <doi:10.1038/nchem.2908>). However, the number of possible internal fragments gets huge with longer proteins and subsequent identification of internal fragments remains challenging, in particular since the the accuracy of measurements with current mass spectrometers represents a limiting factor. This package attempts to deal with the complexity of internal fragments and allows identification of terminal and internal fragments from deconvoluted mass-spectrometry data.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package LinRegInteractive updated to version 0.3-4 with previous version 0.3-3 dated 2020-02-08

Title: Interactive Interpretation of Linear Regression Models
Description: Interactive visualization of effects, response functions and marginal effects for different kinds of regression models. In this version linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Major features are the interactive approach and the handling of the effects of categorical covariates: if two or more factors are used as covariates every combination of the levels of each factor is treated separately. The automatic calculation of marginal effects and a number of possibilities to customize the graphical output are useful features as well.
Author: Martin Meermeyer [aut, cre]
Maintainer: Martin Meermeyer <m.meermeyer@gmail.com>

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Package diffobj updated to version 0.3.6 with previous version 0.3.5 dated 2021-10-05

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package puls updated to version 0.1.3 with previous version 0.1.2 dated 2021-02-16

Title: Partitioning Using Local Subregions
Description: A method of clustering functional data using subregion information of the curves. It is intended to supplement the 'fda' and 'fda.usc' packages in functional data object clustering. It also facilitates the printing and plotting of the results in a tree format and limits the partitioning candidates into a specific set of subregions.
Author: Mark Greenwood [aut] , Tan Tran [aut, cre]
Maintainer: Tan Tran <vinhtantran@gmail.com>

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Package nasapower updated to version 4.2.4 with previous version 4.2.2 dated 2024-12-18

Title: NASA POWER API Client
Description: An API client for NASA POWER global meteorology, surface solar energy and climatology data API. POWER (Prediction Of Worldwide Energy Resources) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the NASA Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] , Scott Chamberlain [rev] , Hazel Kavili [rev] , Alison Boyer [rev] , Fernando Miguez [ctb] , Maelle Salmon [ctb] , Phillip D. Alderman [ctb] ` must use `I` for literal data as of vroom 1.5.0.', see <https://github.com/ropen [...truncated...]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package fitplc updated to version 1.2-3.1 with previous version 1.2-3 dated 2018-11-29

Title: Fit Hydraulic Vulnerability Curves
Description: Fits Weibull or sigmoidal models to percent loss conductivity (plc) curves as a function of plant water potential, computes confidence intervals of parameter estimates and predictions with bootstrap or parametric methods, and provides convenient plotting methods.
Author: Remko Duursma [aut, cre]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

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Package gitr updated to version 0.1.0 with previous version 0.0.2 dated 2025-04-12

Title: A Lightweight API for 'Git'
Description: A light-weight, dependency-free, application programming interface (API) to access system-level 'Git' <https://git-scm.com/downloads> commands from within 'R'. Contains wrappers and defaults for common data science workflows as well as 'Zsh' <https://github.com/ohmyzsh/ohmyzsh> plugin aliases. A generalized API syntax is also available.
Author: Stu Field [aut, cre, cph]
Maintainer: Stu Field <stu.g.field@gmail.com>

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Package daltoolbox updated to version 1.1.737 with previous version 1.1.727 dated 2024-11-25

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut, ctb], Janio Lima [aut, ths], Lucas Tavares [aut, ths], Diego Carvalho [aut, ths], Eduardo Bezerra [aut, ths], Rafaelli Coutinho [aut, ths], Federal Center for Technological Education of Rio de [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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 daltoolbox-1.1.737/daltoolbox/R/ts_lstm.R                         |   18 +
 daltoolbox-1.1.737/daltoolbox/README.md                           |   19 +
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 daltoolbox-1.1.737/daltoolbox/man/ts_conv1d.Rd                    |    2 
 daltoolbox-1.1.737/daltoolbox/man/ts_lstm.Rd                      |    2 
 90 files changed, 155 insertions(+), 141 deletions(-)

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