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‎.Rbuildignore‎

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^didimputation\.Rproj$
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^\.Rproj\.user$
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^_pkgdown\.yml$
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^docs$
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^pkgdown$
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^LICENSE\.md$
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^README\.Rmd$
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^\.github$
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^codecov\.yml$

‎.gitattributes‎

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# Auto detect text files and perform LF normalization
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* text=auto

‎.github/.gitignore‎

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*.html

‎.github/workflows/R-CMD-check.yaml‎

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# For help debugging build failures open an issue on the RStudio community with the 'github-actions' tag.
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# https://community.rstudio.com/new-topic?category=Package%20development&tags=github-actions
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on:
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push:
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branches:
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- main
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- master
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pull_request:
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branches:
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- main
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- master
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name: R-CMD-check
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jobs:
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R-CMD-check:
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runs-on: macOS-latest
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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steps:
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- uses: actions/checkout@v2
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- uses: r-lib/actions/setup-r@v1
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- name: Install dependencies
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run: |
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install.packages(c("remotes", "rcmdcheck"))
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remotes::install_deps(dependencies = TRUE)
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shell: Rscript {0}
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- name: Check
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run: |
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options(crayon.enabled = TRUE)
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rcmdcheck::rcmdcheck(args = "--no-manual", error_on = "error")
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shell: Rscript {0}

‎.github/workflows/pkgdown.yaml‎

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on:
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push:
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branches:
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- main
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- master
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tags:
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-'*'
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name: pkgdown
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jobs:
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pkgdown:
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runs-on: macOS-latest
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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steps:
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- uses: actions/checkout@v2
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- uses: r-lib/actions/setup-r@v1
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- uses: r-lib/actions/setup-pandoc@v1
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- name: Query dependencies
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run: |
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install.packages('remotes')
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saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2)
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writeLines(sprintf("R-%i.%i", getRversion()$major, getRversion()$minor), ".github/R-version")
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shell: Rscript {0}
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- name: Restore R package cache
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uses: actions/cache@v2
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with:
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path: ${{ env.R_LIBS_USER }}
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key: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-${{ hashFiles('.github/depends.Rds') }}
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restore-keys: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-
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- name: Install dependencies
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run: |
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remotes::install_deps(dependencies = TRUE)
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install.packages("pkgdown", type = "binary")
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shell: Rscript {0}
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- name: Install package
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run: R CMD INSTALL .
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- name: Deploy package
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run: |
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git config --local user.email "actions@github.com"
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git config --local user.name "GitHub Actions"
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Rscript -e 'pkgdown::deploy_to_branch(new_process = FALSE)'

‎.github/workflows/test-coverage.yaml‎

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on:
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push:
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branches:
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- main
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- master
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pull_request:
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branches:
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- main
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- master
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name: test-coverage
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jobs:
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test-coverage:
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runs-on: macOS-latest
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env:
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GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
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steps:
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- uses: actions/checkout@v2
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- uses: r-lib/actions/setup-r@v1
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- uses: r-lib/actions/setup-pandoc@v1
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- name: Query dependencies
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run: |
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install.packages('remotes')
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saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2)
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writeLines(sprintf("R-%i.%i", getRversion()$major, getRversion()$minor), ".github/R-version")
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shell: Rscript {0}
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- name: Restore R package cache
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uses: actions/cache@v2
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with:
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path: ${{ env.R_LIBS_USER }}
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key: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-${{ hashFiles('.github/depends.Rds') }}
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restore-keys: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-
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- name: Install dependencies
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run: |
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install.packages(c("remotes"))
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remotes::install_deps(dependencies = TRUE)
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remotes::install_cran("covr")
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shell: Rscript {0}
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- name: Test coverage
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run: covr::codecov()
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shell: Rscript {0}

‎.gitignore‎

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.Rproj.user
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docs
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inst/doc
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/test_script.R
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.Rhistory

‎DESCRIPTION‎

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Package: didImputation
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Title: Staggered difference-in-differences estimation
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Version: 0.0.1.0
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Authors@R: c(
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person(given = "Antoine",
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family = "Mayerowitz",
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role = c("aut", "cre"),
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email = "a.mayerowitz@gmailcom"),
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person(given = "Maxime",
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family = "Gravoueille",
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role = c("aut"),
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email = "maximegravoueille@gmailcom"))
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Description: Set of functions to estimate, report and visualize results in staggered difference-in-differences (DiD) setup using the imputation approach of Borusyak, Jaravel, and Spiess (2021). The standard DiD setup involves two periods and two groups (one treated and one untreated), it relies on parallel trend assumption to estimate the treatment effect of the treated. The staggered DiD setup is the generalization of this approach to multiple periods and multiple groups (i.e. individuals treated at different time periods.). Recent literature stress out the need to not use the standard two-way fixed effect (TWFE) regression to estimate those models. This package implements a method of imputation to estimate the average treatment effect. The package uses untreated observations to predict the counterfactual outcome on treated observations and provide the appropriate Standard errors. It provides ways to test for parallel trends.
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Depends:
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R (>= 3.5),
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License: MIT + file LICENSE
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Encoding: UTF-8
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LazyData: true
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.1.1
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Suggests:
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markdown,
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knitr,
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rmarkdown,
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testthat (>= 3.0.0),
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covr,
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badger,
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Config/testthat/edition: 3
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Imports:
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data.table,
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ggplot2,
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fixest (>= 0.9),
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collapse,
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rlang,
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purrr,
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stats
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VignetteBuilder: knitr

‎LICENSE‎

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YEAR: 2021
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COPYRIGHT HOLDER: Antoine Mayerowitz, Maxime Gravoueille

‎LICENSE.md‎

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# MIT License
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Copyright (c) 2021 Antoine Mayerowitz, Maxime Gravoueille
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

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