diff --git a/.editorconfig b/.editorconfig
deleted file mode 100644
index dab5d2a..0000000
--- a/.editorconfig
+++ /dev/null
@@ -1,180 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2017 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# EditorConfig configuration file (see ).
-
-# Indicate that this file is a root-level configuration file:
-root = true
-
-# Set properties for all files:
-[*]
-end_of_line = lf
-charset = utf-8
-trim_trailing_whitespace = true
-insert_final_newline = true
-
-# Set properties for JavaScript files:
-[*.{js,js.txt}]
-indent_style = tab
-
-# Set properties for JavaScript ES module files:
-[*.{mjs,mjs.txt}]
-indent_style = tab
-
-# Set properties for JavaScript CommonJS files:
-[*.{cjs,cjs.txt}]
-indent_style = tab
-
-# Set properties for JSON files:
-[*.{json,json.txt}]
-indent_style = space
-indent_size = 2
-
-# Set properties for `cli_opts.json` files:
-[cli_opts.json]
-indent_style = tab
-
-# Set properties for TypeScript files:
-[*.ts]
-indent_style = tab
-
-# Set properties for Python files:
-[*.{py,py.txt}]
-indent_style = space
-indent_size = 4
-
-# Set properties for Julia files:
-[*.{jl,jl.txt}]
-indent_style = tab
-
-# Set properties for R files:
-[*.{R,R.txt}]
-indent_style = tab
-
-# Set properties for C files:
-[*.{c,c.txt}]
-indent_style = tab
-
-# Set properties for C header files:
-[*.{h,h.txt}]
-indent_style = tab
-
-# Set properties for C++ files:
-[*.{cpp,cpp.txt}]
-indent_style = tab
-
-# Set properties for C++ header files:
-[*.{hpp,hpp.txt}]
-indent_style = tab
-
-# Set properties for Fortran files:
-[*.{f,f.txt}]
-indent_style = space
-indent_size = 2
-
-# Set properties for shell files:
-[*.{sh,sh.txt}]
-indent_style = tab
-
-# Set properties for AWK files:
-[*.{awk,awk.txt}]
-indent_style = tab
-
-# Set properties for HTML files:
-[*.{html,html.txt}]
-indent_style = tab
-tab_width = 2
-
-# Set properties for XML files:
-[*.{xml,xml.txt}]
-indent_style = tab
-tab_width = 2
-
-# Set properties for CSS files:
-[*.{css,css.txt}]
-indent_style = tab
-
-# Set properties for Makefiles:
-[Makefile]
-indent_style = tab
-
-[*.{mk,mk.txt}]
-indent_style = tab
-
-# Set properties for Markdown files:
-[*.{md,md.txt}]
-indent_style = space
-indent_size = 4
-trim_trailing_whitespace = true # Note: this disables using two spaces to force a hard line break, which is permitted in Markdown. As we don't typically follow that practice (TMK), we should be safe to automatically trim.
-
-# Set properties for `usage.txt` files:
-[usage.txt]
-indent_style = space
-indent_size = 2
-
-# Set properties for `repl.txt` files:
-[repl.txt]
-indent_style = space
-indent_size = 4
-
-# Set properties for `package.json` files:
-[package.{json,json.txt}]
-indent_style = space
-indent_size = 2
-
-# Set properties for `datapackage.json` files:
-[datapackage.json]
-indent_style = space
-indent_size = 2
-
-# Set properties for `manifest.json` files:
-[manifest.json]
-indent_style = space
-indent_size = 2
-
-# Set properties for `tsconfig.json` files:
-[tsconfig.json]
-indent_style = space
-indent_size = 2
-
-# Set properties for LaTeX files:
-[*.{tex,tex.txt}]
-indent_style = tab
-
-# Set properties for LaTeX Bibliography files:
-[*.{bib,bib.txt}]
-indent_style = tab
-
-# Set properties for YAML files:
-[*.{yml,yml.txt}]
-indent_style = space
-indent_size = 2
-
-# Set properties for GYP files:
-[binding.gyp]
-indent_style = space
-indent_size = 2
-
-[*.gypi]
-indent_style = space
-indent_size = 2
-
-# Set properties for citation files:
-[*.{cff,cff.txt}]
-indent_style = space
-indent_size = 2
diff --git a/.eslintrc.js b/.eslintrc.js
deleted file mode 100644
index 5f30286..0000000
--- a/.eslintrc.js
+++ /dev/null
@@ -1 +0,0 @@
-/* For the `eslint` rules of this project, consult the main repository at https://github.com/stdlib-js/stdlib */
diff --git a/.gitattributes b/.gitattributes
deleted file mode 100644
index 1c88e69..0000000
--- a/.gitattributes
+++ /dev/null
@@ -1,66 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2017 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Configuration file which assigns attributes to pathnames.
-#
-# [1]: https://git-scm.com/docs/gitattributes
-
-# Automatically normalize the line endings of any committed text files:
-* text=auto
-
-# Override line endings for certain files on checkout:
-*.crlf.csv text eol=crlf
-
-# Denote that certain files are binary and should not be modified:
-*.png binary
-*.jpg binary
-*.jpeg binary
-*.gif binary
-*.ico binary
-*.gz binary
-*.zip binary
-*.7z binary
-*.mp3 binary
-*.mp4 binary
-*.mov binary
-
-# Override what is considered "vendored" by GitHub's linguist:
-/lib/node_modules/** -linguist-vendored -linguist-generated
-
-# Configure directories which should *not* be included in GitHub language statistics:
-/deps/** linguist-vendored
-/dist/** linguist-generated
-/workshops/** linguist-vendored
-
-benchmark/** linguist-vendored
-docs/* linguist-documentation
-etc/** linguist-vendored
-examples/** linguist-documentation
-scripts/** linguist-vendored
-test/** linguist-vendored
-tools/** linguist-vendored
-
-# Configure files which should *not* be included in GitHub language statistics:
-Makefile linguist-vendored
-*.mk linguist-vendored
-*.jl linguist-vendored
-*.py linguist-vendored
-*.R linguist-vendored
-
-# Configure files which should be included in GitHub language statistics:
-docs/types/*.d.ts -linguist-documentation
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
deleted file mode 100644
index ddcb33a..0000000
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ /dev/null
@@ -1,7 +0,0 @@
-
-
-We are excited about your pull request, but unfortunately we are not accepting pull requests against this repository, as all development happens on the [main project repository](https://github.com/stdlib-js/stdlib). We kindly request that you submit this pull request against the [respective directory](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/array) of the main repository where we’ll review and provide feedback.
-
-If this is your first stdlib contribution, be sure to read the [contributing guide](https://github.com/stdlib-js/stdlib/blob/develop/CONTRIBUTING.md) which provides guidelines and instructions for submitting contributions. You may also consult the [development guide](https://github.com/stdlib-js/stdlib/blob/develop/docs/contributing/development.md) for help on developing stdlib.
-
-We look forward to receiving your contribution! :smiley:
\ No newline at end of file
diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
deleted file mode 100644
index e4f10fe..0000000
--- a/.github/workflows/benchmark.yml
+++ /dev/null
@@ -1,64 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2021 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Workflow name:
-name: benchmark
-
-# Workflow triggers:
-on:
- # Allow the workflow to be manually run:
- workflow_dispatch:
-
-# Workflow jobs:
-jobs:
-
- # Define a job to run benchmarks:
- benchmark:
-
- # Define a display name:
- name: 'Run benchmarks'
-
- # Define the type of virtual host machine:
- runs-on: 'ubuntu-latest'
-
- # Define the sequence of job steps...
- steps:
-
- # Checkout the repository:
- - name: 'Checkout repository'
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
-
- # Install Node.js:
- - name: 'Install Node.js'
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Install dependencies:
- - name: 'Install production and development dependencies'
- run: |
- npm install || npm install || npm install
- timeout-minutes: 15
-
- # Run benchmarks:
- - name: 'Run benchmarks'
- run: |
- npm run benchmark
diff --git a/.github/workflows/cancel.yml b/.github/workflows/cancel.yml
deleted file mode 100644
index b5291db..0000000
--- a/.github/workflows/cancel.yml
+++ /dev/null
@@ -1,57 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2021 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Workflow name:
-name: cancel
-
-# Workflow triggers:
-on:
- # Allow the workflow to be manually run:
- workflow_dispatch:
-
-# Workflow jobs:
-jobs:
-
- # Define a job to cancel existing workflow runs:
- cancel:
-
- # Define a display name:
- name: 'Cancel workflow runs'
-
- # Define the type of virtual host machine:
- runs-on: 'ubuntu-latest'
-
- # Time limit:
- timeout-minutes: 3
-
- # Define the sequence of job steps...
- steps:
-
- # Cancel existing workflow runs:
- - name: 'Cancel existing workflow runs'
- # Pin action to full length commit SHA
- uses: styfle/cancel-workflow-action@85880fa0301c86cca9da44039ee3bb12d3bedbfa # v0.12.1
- with:
- workflow_id: >-
- benchmark.yml,
- examples.yml,
- test.yml,
- test_coverage.yml,
- test_install.yml,
- publish.yml
- access_token: ${{ github.token }}
diff --git a/.github/workflows/close_pull_requests.yml b/.github/workflows/close_pull_requests.yml
deleted file mode 100644
index c9faa1b..0000000
--- a/.github/workflows/close_pull_requests.yml
+++ /dev/null
@@ -1,54 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2021 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Workflow name:
-name: close_pull_requests
-
-# Workflow triggers:
-on:
- pull_request_target:
- types: [opened]
-
-# Workflow jobs:
-jobs:
-
- # Define job to close all pull requests:
- run:
-
- # Define the type of virtual host machine on which to run the job:
- runs-on: ubuntu-latest
-
- # Define the sequence of job steps...
- steps:
-
- # Close pull request
- - name: 'Close pull request'
- # Pin action to full length commit SHA corresponding to v3.1.2
- uses: superbrothers/close-pull-request@9c18513d320d7b2c7185fb93396d0c664d5d8448
- with:
- comment: |
- Thank you for submitting a pull request. :raised_hands:
-
- We greatly appreciate your willingness to submit a contribution. However, we are not accepting pull requests against this repository, as all development happens on the [main project repository](https://github.com/stdlib-js/stdlib).
-
- We kindly request that you submit this pull request against the [respective directory](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/array) of the main repository where we’ll review and provide feedback. If this is your first stdlib contribution, be sure to read the [contributing guide](https://github.com/stdlib-js/stdlib/blob/develop/CONTRIBUTING.md) which provides guidelines and instructions for submitting contributions.
-
- Thank you again, and we look forward to receiving your contribution! :smiley:
-
- Best,
- The stdlib team
\ No newline at end of file
diff --git a/.github/workflows/examples.yml b/.github/workflows/examples.yml
deleted file mode 100644
index 2984901..0000000
--- a/.github/workflows/examples.yml
+++ /dev/null
@@ -1,64 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2021 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Workflow name:
-name: examples
-
-# Workflow triggers:
-on:
- # Allow the workflow to be manually run:
- workflow_dispatch:
-
-# Workflow jobs:
-jobs:
-
- # Define a job to run the package examples...
- examples:
-
- # Define display name:
- name: 'Run examples'
-
- # Define the type of virtual host machine on which to run the job:
- runs-on: ubuntu-latest
-
- # Define the sequence of job steps...
- steps:
-
- # Checkout repository:
- - name: 'Checkout repository'
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
-
- # Install Node.js:
- - name: 'Install Node.js'
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Install dependencies:
- - name: 'Install production and development dependencies'
- run: |
- npm install || npm install || npm install
- timeout-minutes: 15
-
- # Run examples:
- - name: 'Run examples'
- run: |
- npm run examples
diff --git a/.github/workflows/npm_downloads.yml b/.github/workflows/npm_downloads.yml
deleted file mode 100644
index b7f0018..0000000
--- a/.github/workflows/npm_downloads.yml
+++ /dev/null
@@ -1,112 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2022 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Workflow name:
-name: npm_downloads
-
-# Workflow triggers:
-on:
- # Run this workflow weekly:
- schedule:
- # cron: ' '
- - cron: '35 11 * * 6'
-
- # Allow the workflow to be manually run:
- workflow_dispatch:
-
-# Workflow jobs:
-jobs:
-
- # Define a job for retrieving npm download counts...
- npm_downloads:
-
- # Define display name:
- name: 'Retrieve npm download counts'
-
- # Define the type of virtual host machine on which to run the job:
- runs-on: ubuntu-latest
-
- # Define the sequence of job steps...
- steps:
- # Checkout the repository:
- - name: 'Checkout repository'
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
- timeout-minutes: 10
-
- # Install Node.js:
- - name: 'Install Node.js'
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Resolve package name:
- - name: 'Resolve package name'
- id: package_name
- run: |
- name=`node -e 'console.log(require("./package.json").name)' | tr -d '\n'`
- echo "package_name=$name" >> $GITHUB_OUTPUT
- timeout-minutes: 5
-
- # Fetch download data:
- - name: 'Fetch data'
- id: download_data
- run: |
- url="https://api.npmjs.org/downloads/range/$(date --date='1 year ago' '+%Y-%m-%d'):$(date '+%Y-%m-%d')/${{ steps.package_name.outputs.package_name }}"
- echo "$url"
- data=$(curl "$url")
- mkdir ./tmp
- echo "$data" > ./tmp/npm_downloads.json
- echo "data=$data" >> $GITHUB_OUTPUT
- timeout-minutes: 5
-
- # Print summary of download data:
- - name: 'Print summary'
- run: |
- echo "| Date | Downloads |" >> $GITHUB_STEP_SUMMARY
- echo "|------|------------|" >> $GITHUB_STEP_SUMMARY
- cat ./tmp/npm_downloads.json | jq -r ".downloads | .[-14:] | to_entries | map(\"| \(.value.day) | \(.value.downloads) |\") |.[]" >> $GITHUB_STEP_SUMMARY
-
- # Upload the download data:
- - name: 'Upload data'
- # Pin action to full length commit SHA
- uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3 # v4.3.1
- with:
- # Define a name for the uploaded artifact (ensuring a unique name for each job):
- name: npm_downloads
-
- # Specify the path to the file to upload:
- path: ./tmp/npm_downloads.json
-
- # Specify the number of days to retain the artifact (default is 90 days):
- retention-days: 90
- timeout-minutes: 10
- if: success()
-
- # Send data to events server:
- - name: 'Post data'
- # Pin action to full length commit SHA
- uses: distributhor/workflow-webhook@48a40b380ce4593b6a6676528cd005986ae56629 # v3.0.3
- env:
- webhook_url: ${{ secrets.STDLIB_NPM_DOWNLOADS_URL }}
- webhook_secret: ${{ secrets.STDLIB_WEBHOOK_SECRET }}
- data: '{ "downloads": ${{ steps.download_data.outputs.data }} }'
- timeout-minutes: 5
- if: success()
diff --git a/.github/workflows/productionize.yml b/.github/workflows/productionize.yml
deleted file mode 100644
index 83d50c4..0000000
--- a/.github/workflows/productionize.yml
+++ /dev/null
@@ -1,821 +0,0 @@
-#/
-# @license Apache-2.0
-#
-# Copyright (c) 2022 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#/
-
-# Workflow name:
-name: productionize
-
-# Workflow triggers:
-on:
- # Run workflow when a new commit is pushed to the main branch:
- push:
- branches:
- - main
-
- # Allow the workflow to be manually run:
- workflow_dispatch:
- inputs:
- require-passing-tests:
- description: 'Require passing tests for creating bundles'
- type: boolean
- default: true
-
- # Run workflow upon completion of `publish` workflow run:
- workflow_run:
- workflows: ["publish"]
- types: [completed]
-
-
-# Concurrency group to prevent multiple concurrent executions:
-concurrency:
- group: productionize
- cancel-in-progress: true
-
-# Workflow jobs:
-jobs:
-
- # Define a job to create a production build...
- productionize:
-
- # Define display name:
- name: 'Productionize'
-
- # Define the type of virtual host machine:
- runs-on: 'ubuntu-latest'
-
- # Define the sequence of job steps...
- steps:
- # Checkout main branch of repository:
- - name: 'Checkout main branch'
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
- with:
- ref: main
-
- # Install Node.js:
- - name: 'Install Node.js'
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Create production branch:
- - name: 'Create production branch'
- run: |
- git checkout -b production
-
- # Transform error messages:
- - name: 'Transform error messages'
- id: transform-error-messages
- uses: stdlib-js/transform-errors-action@main
-
- # Change `@stdlib/string-format` to `@stdlib/error-tools-fmtprodmsg` in package.json if the former is a dependency, otherwise insert it as a dependency:
- - name: 'Update dependencies in package.json'
- run: |
- PKG_VERSION=$(npm view @stdlib/error-tools-fmtprodmsg version)
- if grep -q '"@stdlib/string-format"' package.json; then
- sed -i "s/\"@stdlib\/string-format\": \"^.*\"/\"@stdlib\/error-tools-fmtprodmsg\": \"^$PKG_VERSION\"/g" package.json
- else
- node -e "var pkg = require( './package.json' ); pkg.dependencies[ '@stdlib/error-tools-fmtprodmsg' ] = '^$PKG_VERSION'; require( 'fs' ).writeFileSync( 'package.json', JSON.stringify( pkg, null, 2 ) );"
- fi
-
- # Configure Git:
- - name: 'Configure Git'
- run: |
- git config --local user.email "noreply@stdlib.io"
- git config --local user.name "stdlib-bot"
-
- # Commit changes:
- - name: 'Commit changes'
- run: |
- git add -A
- git commit -m "Transform error messages"
-
- # Push changes:
- - name: 'Push changes'
- run: |
- SLUG=${{ github.repository }}
- echo "Pushing changes to $SLUG..."
- git push "https://$GITHUB_ACTOR:$GITHUB_TOKEN@github.com/$SLUG.git" production --force
-
- # Define a job for running tests of the productionized code...
- test:
-
- # Define a display name:
- name: 'Run Tests'
-
- # Define the type of virtual host machine:
- runs-on: 'ubuntu-latest'
-
- # Indicate that this job depends on the prior job finishing:
- needs: productionize
-
- # Run this job regardless of the outcome of the prior job:
- if: always()
-
- # Define the sequence of job steps...
- steps:
-
- # Checkout the repository:
- - name: 'Checkout repository'
- if: ${{ github.event.inputs.require-passing-tests == 'true' }}
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
- with:
- # Use the `production` branch:
- ref: production
-
- # Install Node.js:
- - name: 'Install Node.js'
- if: ${{ github.event.inputs.require-passing-tests == 'true' }}
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Install dependencies:
- - name: 'Install production and development dependencies'
- if: ${{ github.event.inputs.require-passing-tests == 'true' }}
- id: install
- run: |
- npm install || npm install || npm install
- timeout-minutes: 15
-
- # Build native add-on if present:
- - name: 'Build native add-on (if present)'
- if: ${{ github.event.inputs.require-passing-tests == 'true' }}
- run: |
- if [ -f "binding.gyp" ]; then
- npm install node-gyp --no-save && ./node_modules/.bin/node-gyp rebuild
- fi
-
- # Run tests:
- - name: 'Run tests'
- if: ${{ github.event.inputs.require-passing-tests == 'true' }}
- id: tests
- run: |
- npm test || npm test || npm test
-
- # Define job to create a bundle for use in Deno...
- deno:
-
- # Define display name:
- name: 'Create Deno bundle'
-
- # Define the type of virtual host machine on which to run the job:
- runs-on: ubuntu-latest
-
- # Indicate that this job depends on the test job finishing:
- needs: test
-
- # Define the sequence of job steps...
- steps:
- # Checkout the repository:
- - name: 'Checkout repository'
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
-
- # Configure Git:
- - name: 'Configure Git'
- run: |
- git config --local user.email "noreply@stdlib.io"
- git config --local user.name "stdlib-bot"
-
- # Check if remote `deno` branch exists:
- - name: 'Check if remote `deno` branch exists'
- id: deno-branch-exists
- continue-on-error: true
- run: |
- git fetch --all
- git ls-remote --exit-code --heads origin deno
- if [ $? -eq 0 ]; then
- echo "remote-exists=true" >> $GITHUB_OUTPUT
- else
- echo "remote-exists=false" >> $GITHUB_OUTPUT
- fi
-
- # If `deno` exists, delete everything in branch and merge `production` into it
- - name: 'If `deno` exists, delete everything in branch and merge `production` into it'
- if: steps.deno-branch-exists.outputs.remote-exists
- run: |
- git checkout -b deno origin/deno
-
- find . -type 'f' | grep -v -e ".git/" -e "package.json" -e "README.md" -e "LICENSE" -e "CONTRIBUTORS" -e "NOTICE" | xargs -r rm
- find . -mindepth 1 -type 'd' | grep -v -e ".git" | xargs -r rm -rf
-
- git add -A
- git commit -m "Remove files" --allow-empty
-
- git config merge.theirs.name 'simulate `-s theirs`'
- git config merge.theirs.driver 'cat %B > %A'
- GIT_CONFIG_PARAMETERS="'merge.default=theirs'" git merge origin/production --allow-unrelated-histories
-
- # Copy files from `production` branch if necessary:
- git checkout origin/production -- .
- if [ -n "$(git status --porcelain)" ]; then
- git add -A
- git commit -m "Auto-generated commit"
- fi
-
- # If `deno` does not exist, create `deno` branch:
- - name: 'If `deno` does not exist, create `deno` branch'
- if: ${{ steps.deno-branch-exists.outputs.remote-exists == false }}
- run: |
- git checkout production
- git checkout -b deno
-
- # Copy files to deno directory:
- - name: 'Copy files to deno directory'
- run: |
- mkdir -p deno
- cp README.md LICENSE CONTRIBUTORS NOTICE ./deno
-
- # Copy TypeScript definitions to deno directory:
- if [ -d index.d.ts ]; then
- cp index.d.ts ./deno/index.d.ts
- fi
- if [ -e ./docs/types/index.d.ts ]; then
- cp ./docs/types/index.d.ts ./deno/mod.d.ts
- fi
-
- # Install Node.js:
- - name: 'Install Node.js'
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Install dependencies:
- - name: Install production and development dependencies
- id: install
- run: |
- npm install || npm install || npm install
- timeout-minutes: 15
-
- # Bundle package for use in Deno:
- - name: 'Bundle package for Deno'
- id: deno-bundle
- uses: stdlib-js/bundle-action@main
- with:
- target: 'deno'
-
- # Rewrite file contents:
- - name: 'Rewrite file contents'
- run: |
- # Replace links to other packages with links to the deno branch:
- find ./deno -type f -name '*.md' -print0 | xargs -0 sed -Ei "/\/tree\/main/b; /^\[@stdlib[^:]+: https:\/\/github.com\/stdlib-js\// s/(.*)/\\1\/tree\/deno/";
-
- # Replace reference to `@stdlib/types` with CDN link:
- find ./deno -type f -name '*.ts' -print0 | xargs -0 -r sed -Ei "s/\/\/\/ /\/\/\/ /g"
-
- # Change wording of project description to avoid reference to JavaScript and Node.js:
- find ./deno -type f -name '*.md' -print0 | xargs -0 sed -Ei "s/a standard library for JavaScript and Node.js, /a standard library /g"
-
- # Rewrite all `require()`s to use jsDelivr links:
- find ./deno -type f -name '*.md' -print0 | xargs -0 sed -Ei "/require\( '@stdlib\// {
- s/(var|let|const)\s+([a-z0-9_]+)\s+=\s*require\( '([^']+)' \);/import \2 from \'\3\';/i
- s/@stdlib/https:\/\/cdn.jsdelivr.net\/gh\/stdlib-js/
- s/';/@deno\/mod.js';/
- }"
-
- # Rewrite first `import` to show importing of named exports if available:
- exports=$(cat lib/index.js | \
- grep -E 'setReadOnly\(.*,.*,.*\)' | \
- sed -E 's/setReadOnly\((.*),(.*),(.*)\);/\2/' | \
- sed -E "s/'//g" | \
- sort)
- if [ -n "$exports" ]; then
- find ./deno -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/\`\`\`javascript\nimport\s+([a-zA-Z0-9_]+)\s+from\s*'([^']+)';\n\`\`\`/\`\`\`javascript\nimport \1 from '\2';\n\`\`\`\n\nYou can also import the following named exports from the package:\n\n\`\`\`javascript\nimport { $(echo $exports | sed -E 's/ /, /g') } from '\2';\n\`\`\`/"
- fi
-
- # Remove `installation`, `cli`, and `c` sections:
- find ./deno -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/[^<]+<\/section>//g;"
- find ./deno -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/(\* \* \*\n+)?[\s\S]+<\!\-\- \/.cli \-\->//g"
- find ./deno -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/(\* \* \*\n+)?[\s\S]+<\!\-\- \/.c \-\->//g"
-
- # Create package.json file for deno branch:
- jq --indent 2 '{"name": .name, "version": .version, "description": .description, "license": .license, "type": "module", "main": "./mod.js", "homepage": .homepage, "repository": .repository, "bugs": .bugs, "keywords": .keywords, "funding": .funding}' package.json > ./deno/package.json
-
- # Delete everything in current directory aside from deno folder:
- - name: 'Delete everything in current directory aside from deno folder'
- run: |
- find . -type 'f' | grep -v -e "deno" -e ".git/" | xargs -r rm
- find . -mindepth 1 -type 'd' | grep -v -e "deno" -e ".git" | xargs -r rm -rf
-
- # Move deno directory to root:
- - name: 'Move deno directory to root'
- run: |
- mv ./deno/* .
- rmdir ./deno
-
- # Commit changes:
- - name: 'Commit changes'
- run: |
- git add -A
- git commit -m "Auto-generated commit"
-
- # Push changes to `deno` branch:
- - name: 'Push changes to `deno` branch'
- run: |
- SLUG=${{ github.repository }}
- echo "Pushing changes to $SLUG..."
- git push "https://$GITHUB_ACTOR:$GITHUB_TOKEN@github.com/$SLUG.git" deno
-
- # Send notification to Zulip if job fails:
- - name: 'Send notification to Zulip in case of failure'
- # Pin action to full length commit SHA
- uses: zulip/github-actions-zulip/send-message@e4c8f27c732ba9bd98ac6be0583096dea82feea5 # v1.0.2
- if: failure()
- with:
- api-key: ${{ secrets.ZULIP_API_KEY }}
- email: 'github-actions-bot@stdlib.zulipchat.com'
- organization-url: 'https://stdlib.zulipchat.com'
- to: 'workflows-standalone'
- type: 'stream'
- topic: ${{ github.event.repository.name }}
- content: |
- :cross_mark: **${{ github.workflow }}** workflow failed
-
- **Repository:** [${{ github.repository }}](${{ github.server_url }}/${{ github.repository }})
- **Run:** [View workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }})
-
- # Define job to create a UMD bundle...
- umd:
-
- # Define display name:
- name: 'Create UMD bundle'
-
- # Define the type of virtual host machine on which to run the job:
- runs-on: ubuntu-latest
-
- # Indicate that this job depends on the test job finishing:
- needs: test
-
- # Define the sequence of job steps...
- steps:
- # Checkout the repository:
- - name: 'Checkout repository'
- # Pin action to full length commit SHA
- uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
-
- # Configure Git:
- - name: 'Configure Git'
- run: |
- git config --local user.email "noreply@stdlib.io"
- git config --local user.name "stdlib-bot"
-
- # Check if remote `umd` branch exists:
- - name: 'Check if remote `umd` branch exists'
- id: umd-branch-exists
- continue-on-error: true
- run: |
- git fetch --all
- git ls-remote --exit-code --heads origin umd
- if [ $? -eq 0 ]; then
- echo "remote-exists=true" >> $GITHUB_OUTPUT
- else
- echo "remote-exists=false" >> $GITHUB_OUTPUT
- fi
-
- # If `umd` exists, delete everything in branch and merge `production` into it
- - name: 'If `umd` exists, delete everything in branch and merge `production` into it'
- if: steps.umd-branch-exists.outputs.remote-exists
- run: |
- git checkout -b umd origin/umd
-
- find . -type 'f' | grep -v -e ".git/" -e "package.json" -e "README.md" -e "LICENSE" -e "CONTRIBUTORS" -e "NOTICE" | xargs -r rm
- find . -mindepth 1 -type 'd' | grep -v -e ".git" | xargs -r rm -rf
-
- git add -A
- git commit -m "Remove files" --allow-empty
-
- git config merge.theirs.name 'simulate `-s theirs`'
- git config merge.theirs.driver 'cat %B > %A'
- GIT_CONFIG_PARAMETERS="'merge.default=theirs'" git merge origin/production --allow-unrelated-histories
-
- # Copy files from `production` branch if necessary:
- git checkout origin/production -- .
- if [ -n "$(git status --porcelain)" ]; then
- git add -A
- git commit -m "Auto-generated commit"
- fi
-
- # If `umd` does not exist, create `umd` branch:
- - name: 'If `umd` does not exist, create `umd` branch'
- if: ${{ steps.umd-branch-exists.outputs.remote-exists == false }}
- run: |
- git checkout production
- git checkout -b umd
-
- # Copy files to umd directory:
- - name: 'Copy files to umd directory'
- run: |
- mkdir -p umd
- cp README.md LICENSE CONTRIBUTORS NOTICE ./umd
-
- # Install Node.js
- - name: 'Install Node.js'
- # Pin action to full length commit SHA
- uses: actions/setup-node@b39b52d1213e96004bfcb1c61a8a6fa8ab84f3e8 # v4.0.1
- with:
- node-version: 20
- timeout-minutes: 5
-
- # Install dependencies:
- - name: 'Install production and development dependencies'
- id: install
- run: |
- npm install || npm install || npm install
- timeout-minutes: 15
-
- # Extract alias:
- - name: 'Extract alias'
- id: extract-alias
- run: |
- alias=$(grep -E 'require\(' README.md | head -n 1 | sed -E 's/^var ([a-zA-Z0-9_]+) = .+/\1/')
- echo "alias=${alias}" >> $GITHUB_OUTPUT
-
- # Create Universal Module Definition (UMD) Node.js bundle:
- - name: 'Create Universal Module Definition (UMD) Node.js bundle'
- id: umd-bundle-node
- uses: stdlib-js/bundle-action@main
- with:
- target: 'umd-node'
- alias: ${{ steps.extract-alias.outputs.alias }}
-
- # Create Universal Module Definition (UMD) browser bundle:
- - name: 'Create Universal Module Definition (UMD) browser bundle'
- id: umd-bundle-browser
- uses: stdlib-js/bundle-action@main
- with:
- target: 'umd-browser'
- alias: ${{ steps.extract-alias.outputs.alias }}
-
- # Rewrite file contents:
- - name: 'Rewrite file contents'
- run: |
-
- # Replace links to other packages with links to the umd branch:
- find ./umd -type f -name '*.md' -print0 | xargs -0 sed -Ei "/\/tree\/main/b; /^\[@stdlib[^:]+: https:\/\/github.com\/stdlib-js\// s/(.*)/\\1\/tree\/umd/";
-
- # Remove `installation`, `cli`, and `c` sections:
- find ./umd -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/[^<]+<\/section>//g;"
- find ./umd -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/(\* \* \*\n+)?[\s\S]+<\!\-\- \/.cli \-\->//g"
- find ./umd -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/(\* \* \*\n+)?[\s\S]+<\!\-\- \/.c \-\->//g"
-
- # Rewrite first `require()` to show consumption of the UMD bundle in Observable and via a `script` tag:
- find ./umd -type f -name '*.md' -print0 | xargs -0 perl -0777 -i -pe "s/\`\`\`javascript\n(var|let|const)\s+([a-zA-Z0-9_]+)\s+=\s*require\( '\@stdlib\/([^']+)' \);\n\`\`\`/To use in Observable,\n\n\`\`\`javascript\n\2 = require\( 'https:\/\/cdn.jsdelivr.net\/gh\/stdlib-js\/\3\@umd\/browser.js' \)\n\`\`\`\n\nTo vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:\n\n\`\`\`javascript\nvar \2 = require\( 'path\/to\/vendor\/umd\/\3\/index.js' \)\n\`\`\`\n\nTo include the bundle in a webpage,\n\n\`\`\`html\n
+```
-```javascript
-var array = require( '@stdlib/ndarray-array' );
+If no recognized module system is present, access bundle contents via the global scope:
+
+```html
+
```
@@ -239,8 +245,13 @@ var bool = ( v === buf[ 0 ] );
-```javascript
-var array = require( '@stdlib/ndarray-array' );
+```html
+
+
+
+
+
+
+
```
@@ -366,17 +382,17 @@ Copyright © 2016-2026. The Stdlib [Authors][stdlib-authors].
[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/ndarray-array/main/LICENSE
-[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/ndarray-dtypes
+[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/ndarray-dtypes/tree/umd
-[@stdlib/array/generic]: https://github.com/stdlib-js/array-generic
+[@stdlib/array/generic]: https://github.com/stdlib-js/array-generic/tree/umd
-[@stdlib/array/typed]: https://github.com/stdlib-js/array-typed
+[@stdlib/array/typed]: https://github.com/stdlib-js/array-typed/tree/umd
-[@stdlib/buffer/ctor]: https://github.com/stdlib-js/buffer-ctor
+[@stdlib/buffer/ctor]: https://github.com/stdlib-js/buffer-ctor/tree/umd
-[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray-ctor
+[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray-ctor/tree/umd
diff --git a/SECURITY.md b/SECURITY.md
deleted file mode 100644
index 9702d4c..0000000
--- a/SECURITY.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# Security
-
-> Policy for reporting security vulnerabilities.
-
-See the security policy [in the main project repository](https://github.com/stdlib-js/stdlib/security).
diff --git a/benchmark/benchmark.js b/benchmark/benchmark.js
deleted file mode 100644
index 328e99f..0000000
--- a/benchmark/benchmark.js
+++ /dev/null
@@ -1,1210 +0,0 @@
-/**
-* @license Apache-2.0
-*
-* Copyright (c) 2018 The Stdlib Authors.
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-* http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-'use strict';
-
-// MODULES //
-
-var bench = require( '@stdlib/bench-harness' );
-var Float32Array = require( '@stdlib/array-float32' );
-var isndarrayLike = require( '@stdlib/assert-is-ndarray-like' );
-var format = require( '@stdlib/string-format' );
-var pkg = require( './../package.json' ).name;
-var array = require( './../lib' );
-
-
-// MAIN //
-
-bench( format( '%s::1d,instantiation,linear_buffer', pkg ), function benchmark( b ) {
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation,shape', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var i;
-
- opts = {
- 'shape': [ 6 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation,ndarray', pkg ), function benchmark( b ) {
- var out;
- var arr;
- var i;
-
- arr = array( new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ) );
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation,no_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float32'
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation,default_cast', pkg ), function benchmark( b ) {
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation,dtype_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float64'
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation:copy=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': false
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation:copy=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': true
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation:dtype=generic', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic'
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation:dtype=generic,flatten=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'flatten': true
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::1d,instantiation:dtype=generic,flatten=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'flatten': false
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation,linear_buffer', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation,shape', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var i;
-
- opts = {
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation,ndarray', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'shape': [ 3, 2 ]
- };
- arr = array( arr, opts );
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation,no_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float32',
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation,default_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation,dtype_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float64',
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation:copy=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': false,
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation:copy=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': true,
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation:dtype=generic', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation:dtype=generic,flatten=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ];
- opts = {
- 'dtype': 'generic',
- 'flatten': true
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::2d,instantiation:dtype=generic,flatten=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'flatten': false,
- 'shape': [ 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation,linear_buffer', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation,shape', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var i;
-
- opts = {
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation,ndarray', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'shape': [ 1, 3, 2 ]
- };
- arr = array( arr, opts );
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation,no_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float32',
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation,default_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation,dtype_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float64',
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation:copy=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': false,
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation:copy=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': true,
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation:dtype=generic', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation:dtype=generic,flatten=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] ];
- opts = {
- 'dtype': 'generic',
- 'flatten': true
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::3d,instantiation:dtype=generic,flatten=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'flatten': false,
- 'shape': [ 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation,linear_buffer', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation,shape', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var i;
-
- opts = {
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation,ndarray', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'shape': [ 1, 1, 3, 2 ]
- };
- arr = array( arr, opts );
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation,no_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float32',
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation,default_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation,dtype_cast', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'dtype': 'float64',
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation:copy=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': false,
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation:copy=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'copy': true,
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation:dtype=generic', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation:dtype=generic,flatten=true', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] ] ];
- opts = {
- 'dtype': 'generic',
- 'flatten': true
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::4d,instantiation:dtype=generic,flatten=false', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
- opts = {
- 'dtype': 'generic',
- 'flatten': false,
- 'shape': [ 1, 1, 3, 2 ]
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
-
-bench( format( '%s::5d,instantiation:ndmin=5', pkg ), function benchmark( b ) {
- var opts;
- var out;
- var arr;
- var i;
-
- arr = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
- opts = {
- 'ndmin': 5
- };
-
- b.tic();
- for ( i = 0; i < b.iterations; i++ ) {
- out = array( arr, opts );
- if ( typeof out !== 'object' ) {
- b.fail( 'should return an object' );
- }
- }
- b.toc();
- if ( !isndarrayLike( out ) ) {
- b.fail( 'should return an ndarray' );
- }
- b.pass( 'benchmark finished' );
- b.end();
-});
diff --git a/benchmark/python/numpy/benchmark.py b/benchmark/python/numpy/benchmark.py
deleted file mode 100644
index 2a561ce..0000000
--- a/benchmark/python/numpy/benchmark.py
+++ /dev/null
@@ -1,284 +0,0 @@
-#!/usr/bin/env python
-#
-# @license Apache-2.0
-#
-# Copyright (c) 2018 The Stdlib Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Benchmark numpy.array."""
-
-from __future__ import print_function
-import timeit
-
-REPEATS = 3
-COUNT = [0] # use a list to allow modification within nested scopes
-
-
-def print_version():
- """Print the TAP version."""
- print("TAP version 13")
-
-
-def print_summary(total, passing):
- """Print the benchmark summary.
-
- # Arguments
-
- * `total`: total number of tests
- * `passing`: number of passing tests
-
- """
- print("#")
- print("1.." + str(total)) # TAP plan
- print("# total " + str(total))
- print("# pass " + str(passing))
- print("#")
- print("# ok")
-
-
-def print_results(iterations, elapsed):
- """Print benchmark results.
-
- # Arguments
-
- * `iterations`: number of iterations
- * `elapsed`: elapsed time (in seconds)
-
- # Examples
-
- ``` python
- python> print_results(100000, 0.131009101868)
- ```
- """
- rate = iterations / elapsed
-
- print(" ---")
- print(" iterations: " + str(iterations))
- print(" elapsed: " + str(elapsed))
- print(" rate: " + str(rate))
- print(" ...")
-
-
-def benchmark(name, setup, stmt, iterations):
- """Run a benchmark and print benchmark results.
-
- # Arguments
-
- * `name`: benchmark name (suffix)
- * `setup`: benchmark setup
- * `stmt`: statement to benchmark
- * `iterations`: number of iterations
-
- # Examples
-
- ``` python
- python> benchmark("::random", "from random import random;", "y = random()", 1000000)
- ```
- """
- t = timeit.Timer(stmt, setup=setup)
-
- i = 0
- while i < REPEATS:
- print("# python::numpy" + name)
- COUNT[0] += 1
- elapsed = t.timeit(number=iterations)
- print_results(iterations, elapsed)
- print("ok " + str(COUNT[0]) + " benchmark finished")
- i += 1
-
-
-def main():
- """Run the benchmarks."""
- # pylint: disable=too-many-statements
- print_version()
-
- name = "::1d,instantiation,linear_buffer"
- setup = "import numpy as np; x = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::1d,instantiation,ndarray"
- setup = "import numpy as np; x = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::1d,instantiation,no_cast"
- setup = "import numpy as np; x = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::1d,instantiation,default_cast"
- setup = "import numpy as np; x = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::1d,instantiation,dtype_cast"
- setup = "import numpy as np; x = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], dtype='float32');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::1d,instantiation:copy=false"
- setup = "import numpy as np; x = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);"
- stmt = "y = np.array(x, copy=False)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::1d,instantiation:copy=true"
- setup = "import numpy as np; x = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);"
- stmt = "y = np.array(x, copy=True)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation,ndarray"
- setup = "import numpy as np; x = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]);"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation,no_cast"
- setup = "import numpy as np; x = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], dtype='float64');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation,default_cast"
- setup = "import numpy as np; x = [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]];"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation,dtype_cast"
- setup = "import numpy as np; x = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], dtype='float32');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation:copy=false"
- setup = "import numpy as np; x = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]);"
- stmt = "y = np.array(x, copy=False)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation:copy=true"
- setup = "import numpy as np; x = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]);"
- stmt = "y = np.array(x, copy=True)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::2d,instantiation:flatten=true"
- setup = "import numpy as np; x = [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]];"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation,ndarray"
- setup = "import numpy as np; x = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]);"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation,no_cast"
- setup = "import numpy as np; x = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]], dtype='float64');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation,default_cast"
- setup = "import numpy as np; x = [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]];"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation,dtype_cast"
- setup = "import numpy as np; x = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]], dtype='float32');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation:copy=false"
- setup = "import numpy as np; x = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]);"
- stmt = "y = np.array(x, copy=False)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation:copy=true"
- setup = "import numpy as np; x = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]);"
- stmt = "y = np.array(x, copy=True)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::3d,instantiation:flatten=true"
- setup = "import numpy as np; x = [[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]];"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation,ndarray"
- setup = "import numpy as np; x = np.array([[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]]);"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation,no_cast"
- setup = "import numpy as np; x = np.array([[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]], dtype='float64');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation,default_cast"
- setup = "import numpy as np; x = [[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]];"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation,dtype_cast"
- setup = "import numpy as np; x = np.array([[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]], dtype='float32');"
- stmt = "y = np.array(x, dtype='float64')"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation:copy=false"
- setup = "import numpy as np; x = np.array([[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]]);"
- stmt = "y = np.array(x, copy=False)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation:copy=true"
- setup = "import numpy as np; x = np.array([[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]]);"
- stmt = "y = np.array(x, copy=True)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::4d,instantiation:flatten=true"
- setup = "import numpy as np; x = [[[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]];"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- name = "::5d,instantiation:ndmin=5"
- setup = "import numpy as np; x = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0];"
- stmt = "y = np.array(x)"
- iterations = 100000
- benchmark(name, setup, stmt, iterations)
-
- print_summary(COUNT[0], COUNT[0])
-
-
-if __name__ == "__main__":
- main()
diff --git a/branches.md b/branches.md
deleted file mode 100644
index 10cb019..0000000
--- a/branches.md
+++ /dev/null
@@ -1,56 +0,0 @@
-
-
-# Branches
-
-This repository has the following branches:
-
-- **main**: default branch generated from the [stdlib project][stdlib-url], where all development takes place.
-- **production**: [production build][production-url] of the package (e.g., reformatted error messages to reduce bundle sizes and thus the number of bytes transmitted over a network).
-- **esm**: [ES Module][esm-url] branch for use via a `script` tag without the need for installation and bundlers (see [README][esm-readme]).
-- **deno**: [Deno][deno-url] branch for use in Deno (see [README][deno-readme]).
-- **umd**: [UMD][umd-url] branch for use in Observable, or in dual browser/Node.js environments (see [README][umd-readme]).
-
-The following diagram illustrates the relationships among the above branches:
-
-```mermaid
-graph TD;
-A[stdlib]-->|generate standalone package|B;
-B[main] -->|productionize| C[production];
-C -->|bundle| D[esm];
-C -->|bundle| E[deno];
-C -->|bundle| F[umd];
-
-%% click A href "https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/array"
-%% click B href "https://github.com/stdlib-js/ndarray-array/tree/main"
-%% click C href "https://github.com/stdlib-js/ndarray-array/tree/production"
-%% click D href "https://github.com/stdlib-js/ndarray-array/tree/esm"
-%% click E href "https://github.com/stdlib-js/ndarray-array/tree/deno"
-%% click F href "https://github.com/stdlib-js/ndarray-array/tree/umd"
-```
-
-[stdlib-url]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/array
-[production-url]: https://github.com/stdlib-js/ndarray-array/tree/production
-[deno-url]: https://github.com/stdlib-js/ndarray-array/tree/deno
-[deno-readme]: https://github.com/stdlib-js/ndarray-array/blob/deno/README.md
-[umd-url]: https://github.com/stdlib-js/ndarray-array/tree/umd
-[umd-readme]: https://github.com/stdlib-js/ndarray-array/blob/umd/README.md
-[esm-url]: https://github.com/stdlib-js/ndarray-array/tree/esm
-[esm-readme]: https://github.com/stdlib-js/ndarray-array/blob/esm/README.md
\ No newline at end of file
diff --git a/browser.js b/browser.js
new file mode 100644
index 0000000..b0cab72
--- /dev/null
+++ b/browser.js
@@ -0,0 +1,3 @@
+// Copyright (c) 2026 The Stdlib Authors. License is Apache-2.0: http://www.apache.org/licenses/LICENSE-2.0
+!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).array=e()}(this,(function(){"use strict";var t=Object.prototype.hasOwnProperty;function e(e,r){return null!=e&&t.call(e,r)}var r="function"==typeof Symbol&&"symbol"==typeof Symbol("foo");function n(){return r&&"symbol"==typeof Symbol.toStringTag}var i=Object.prototype.toString;var o="function"==typeof Symbol?Symbol:void 0,a="function"==typeof o?o.toStringTag:"";var u=n()?function(t){var r,n,o;if(null==t)return i.call(t);n=t[a],r=e(t,a);try{t[a]=void 0}catch(e){return i.call(t)}return o=i.call(t),r?t[a]=n:delete t[a],o}:function(t){return i.call(t)};var f=Array.isArray?Array.isArray:function(t){return"[object Array]"===u(t)};function s(t){return"object"==typeof t&&null!==t&&!f(t)}var l=/./,c="function"==typeof Object.defineProperty?Object.defineProperty:null;var h=Object.defineProperty;function p(t){return"number"==typeof t}function g(t){var e,r="";for(e=0;e0&&(r-=1),n=t.toExponential(r)):n=t.toPrecision(e.precision),e.alternate||(n=E.call(n,j,"$1e"),n=E.call(n,S,"e"),n=E.call(n,V,""));break;default:throw new Error("invalid double notation. 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