brew_install_poetry

Table of Contents

brew install poetry

macOS

Homebrew on macOS

brew search poetry =⇒ Formulae poetry poster

=⇒ Casks

poedit

(base) iMac ~ % brew install poetry

=⇒ Downloading https://ghcr.io/v2/homebrew/core/jsonschema/manifests/4.17.0-1

=⇒ Downloading https://ghcr.io/v2/homebrew/core/jsonschema/blobs/sha256:5515829f57e8627cf12ca65deb0b1d9e24505d4fe89ab22b1269503eaa71f035

=⇒ Downloading from https://pkg-containers.githubusercontent.com/ghcr1/blobs/sha256:5515829f57e8627cf12ca65deb0b1d9e24505d4fe89ab22b1269503

=⇒ Downloading https://ghcr.io/v2/homebrew/core/virtualenv/manifests/20.16.6-1

=⇒ Downloading https://ghcr.io/v2/homebrew/core/virtualenv/blobs/sha256:a48b680f160522a7c26f5589e5c892504e48fe832fb7a20ba0586c56e6745b0d

=⇒ Downloading from https://pkg-containers.githubusercontent.com/ghcr1/blobs/sha256:a48b680f160522a7c26f5589e5c892504e48fe832fb7a20ba0586c5

=⇒ Downloading https://ghcr.io/v2/homebrew/core/poetry/manifests/1.2.2-2

=⇒ Downloading https://ghcr.io/v2/homebrew/core/poetry/blobs/sha256:f486e6d39adbc1d3cde5c13516c94ac0d9d32b5e2f549d7c2d33f1424331f626

=⇒ Downloading from https://pkg-containers.githubusercontent.com/ghcr1/blobs/sha256:f486e6d39adbc1d3cde5c13516c94ac0d9d32b5e2f549d7c2d33f14

=⇒ Installing dependencies for poetry: jsonschema and virtualenv

=⇒ Installing poetry dependency: jsonschema

=⇒ Pouring jsonschema–4.17.0.monterey.bottle.1.tar.gz

🍺 /usr/local/Cellar/jsonschema/4.17.0: 874 files, 11.2MB

=⇒ Installing poetry dependency: virtualenv

=⇒ Pouring virtualenv–20.16.6.monterey.bottle.1.tar.gz

🍺 /usr/local/Cellar/virtualenv/20.16.6: 947 files, 20.3MB

=⇒ Installing poetry

=⇒ Pouring poetry–1.2.2.monterey.bottle.2.tar.gz

=⇒ Caveats

zsh completions have been installed to:

 /usr/local/share/zsh/site-functions

=⇒ Summary

🍺 /usr/local/Cellar/poetry/1.2.2: 2,083 files, 21.0MB

=⇒ Running `brew cleanup poetry`…

Disable this behaviour by setting HOMEBREW_NO_INSTALL_CLEANUP.

Hide these hints with HOMEBREW_NO_ENV_HINTS (see `man brew`).

=⇒ Caveats

=⇒ poetry

zsh completions have been installed to:

 /usr/local/share/zsh/site-functions


(base) iMac ~ % virtualenv --version

virtualenv 20.16.6 from /usr/local/Cellar/virtualenv/20.16.6/libexec/lib/python3.10/site-packages/virtualenv/__init__.py


(base) iMac ~ % virtualenv --help

usage: virtualenv [–version] [–with-traceback] [-v | -q] [–read-only-app-data] [–app-data APP_DATA] [–reset-app-data] [–upgrade-embed-wheels] [–discovery {builtin}] [-p py] [–try-first-with py_exe]

                 [--creator {builtin,cpython3-posix,venv}] [--seeder {app-data,pip}] [--no-seed] [--activators comma_sep_list] [--clear] [--no-vcs-ignore] [--system-site-packages] [--symlinks | --copies] [--no-download | --download]
                 [--extra-search-dir d [d ...]] [--pip version] [--setuptools version] [--wheel version] [--no-pip] [--no-setuptools] [--no-wheel] [--no-periodic-update] [--symlink-app-data] [--prompt prompt] [-h]
                 dest

options:

 --version                     display the version of the virtualenv package and its location, then exit
 --with-traceback              on failure also display the stacktrace internals of virtualenv (default: False)
 --read-only-app-data          use app data folder in read-only mode (write operations will fail with error) (default: False)
 --app-data APP_DATA           a data folder used as cache by the virtualenv (default: /Users/bowman/Library/Application Support/virtualenv)
 --reset-app-data              start with empty app data folder (default: False)
 --upgrade-embed-wheels        trigger a manual update of the embedded wheels (default: False)
 -h, --help                    show this help message and exit

verbosity:

 verbosity = verbose - quiet, default INFO, mapping => CRITICAL=0, ERROR=1, WARNING=2, INFO=3, DEBUG=4, NOTSET=5
 -v, --verbose                 increase verbosity (default: 2)
 -q, --quiet                   decrease verbosity (default: 0)

discovery:

 discover and provide a target interpreter
 --discovery {builtin}         interpreter discovery method (default: builtin)
 -p py, --python py            interpreter based on what to create environment (path/identifier) - by default use the interpreter where the tool is installed - first found wins (default: [])
 --try-first-with py_exe       try first these interpreters before starting the discovery (default: [])

creator:

 options for creator builtin
 --creator {builtin,cpython3-posix,venv}
                               create environment via (builtin = cpython3-posix) (default: builtin)
 dest                          directory to create virtualenv at
 --clear                       remove the destination directory if exist before starting (will overwrite files otherwise) (default: False)
 --no-vcs-ignore               don't create VCS ignore directive in the destination directory (default: False)
 --system-site-packages        give the virtual environment access to the system site-packages dir (default: False)
 --symlinks                    try to use symlinks rather than copies, when symlinks are not the default for the platform (default: True)
 --copies, --always-copy       try to use copies rather than symlinks, even when symlinks are the default for the platform (default: False)

seeder:

 options for seeder app-data
 --seeder {app-data,pip}       seed packages install method (default: app-data)
 --no-seed, --without-pip      do not install seed packages (default: False)
 --no-download, --never-download
                               pass to disable download of the latest pip/setuptools/wheel from PyPI (default: True)
 --download                    pass to enable download of the latest pip/setuptools/wheel from PyPI (default: False)
 --extra-search-dir d [d ...]  a path containing wheels to extend the internal wheel list (can be set 1+ times) (default: [])
 --pip version                 version of pip to install as seed: embed, bundle or exact version (default: bundle)
 --setuptools version          version of setuptools to install as seed: embed, bundle or exact version (default: bundle)
 --wheel version               version of wheel to install as seed: embed, bundle or exact version (default: bundle)
 --no-pip                      do not install pip (default: False)
 --no-setuptools               do not install setuptools (default: False)
 --no-wheel                    do not install wheel (default: False)
 --no-periodic-update          disable the periodic (once every 14 days) update of the embedded wheels (default: False)
 --symlink-app-data            symlink the python packages from the app-data folder (requires seed pip>=19.3) (default: False)

activators:

 options for activation scripts
 --activators comma_sep_list   activators to generate - default is all supported (default: bash,cshell,fish,nushell,powershell,python)
 --prompt prompt               provides an alternative prompt prefix for this environment (value of . means name of the current working directory) (default: None)

config file /Users/bowman/Library/Preferences/virtualenv/virtualenv.ini missing (change via env var VIRTUALENV_CONFIG_FILE) (base) bowman@a4ra8pa2ch7an6ad9hi ~ % jsonschema –version 4.16.0 (base) bowman@a4ra8pa2ch7an6ad9hi ~ % jsonschema –help usage: jsonschema [-h] [-i INSTANCES] [-F ERROR_FORMAT] [-o {plain,pretty}] [-V VALIDATOR] [–base-uri BASE_URI] [–version] schema

JSON Schema Validation CLI

positional arguments:

 schema                the path to a JSON Schema to validate with (i.e. schema.json)

optional arguments:

 -h, --help            show this help message and exit
 -i INSTANCES, --instance INSTANCES
                       a path to a JSON instance (i.e. filename.json) to validate (may be specified multiple times). If no instances are
                       provided via this option, one will be expected on standard input.
 -F ERROR_FORMAT, --error-format ERROR_FORMAT
                       the format to use for each validation error message, specified in a form suitable for str.format. This string will
                       be passed one formatted object named 'error' for each ValidationError. Only provide this option when using
                       --output=plain, which is the default. If this argument is unprovided and --output=plain is used, a simple default
                       representation will be used.
 -o {plain,pretty}, --output {plain,pretty}
                       an output format to use. 'plain' (default) will produce minimal text with one line for each error, while 'pretty'
                       will produce more detailed human-readable output on multiple lines.
 -V VALIDATOR, --validator VALIDATOR
                       the fully qualified object name of a validator to use, or, for validators that are registered with jsonschema,
                       simply the name of the class.
 --base-uri BASE_URI   a base URI to assign to the provided schema, even if it does not declare one (via e.g. $id). This option can be
                       used if you wish to resolve relative references to a particular URI (or local path)
 --version             show program's version number and exit
(base) bowman@a4ra8pa2ch7an6ad9hi ~ % poetry –version Poetry (version 1.2.2) (base) bowman@a4ra8pa2ch7an6ad9hi ~ % poetry –help

Description:

 Lists commands.

Usage:

 list [options] [--] []

Arguments:

 namespace             The namespace name

Options:

 -h, --help            Display help for the given command. When no command is given display help for the list command.
 -q, --quiet           Do not output any message.
 -V, --version         Display this application version.
     --ansi            Force ANSI output.
     --no-ansi         Disable ANSI output.
 -n, --no-interaction  Do not ask any interactive question.
     --no-plugins      Disables plugins.
     --no-cache        Disables Poetry source caches.
 -v|vv|vvv, --verbose  Increase the verbosity of messages: 1 for normal output, 2 for more verbose output and 3 for debug.

Help:

 The list command lists all commands:
   poetry list
 You can also display the commands for a specific namespace:
   poetry list test

Linux

Python Virtual Environments: Python Virtual Environment Glossary, Conda Environment (brew install conda, choco install anaconda), Virtualenv Environment, Pipenv Environment (brew install pipenv), Pipx Environment (brew install pipx), Poetry Environment (brew install poetry), Python Global Site Packages, Developer Virtual Environments, Python System Interpreter; Python Virtual Environments GitHub, Python Virtual Environments Topics. (navbar_python_virtual_environments - see also navbar_python, navbar_python_libaries, navbar_python_standard_library)

Python Poetry Virtual Environments Install poetry (brew install poetry, Python Virtual Environments, poetry --version,

; poetry GitHub. (navbar_poetry - see also navbar_python_environments)

Python: Python Variables, Python Data Types, Python Control Structures, Python Loops, Python Functions, Python Modules, Python Packages, Python File Handling, Python Errors and Exceptions, Python Classes and Objects, Python Inheritance, Python Polymorphism, Python Encapsulation, Python Abstraction, Python Lists, Python Dictionaries, Python Tuples, Python Sets, Python String Manipulation, Python Regular Expressions, Python Comprehensions, Python Lambda Functions, Python Map, Filter, and Reduce, Python Decorators, Python Generators, Python Context Managers, Python Concurrency with Threads, Python Asynchronous Programming, Python Multiprocessing, Python Networking, Python Database Interaction, Python Debugging, Python Testing and Unit Testing, Python Virtual Environments, Python Package Management, Python Data Analysis, Python Data Visualization, Python Web Scraping, Python Web Development with Flask/Django, Python API Interaction, Python GUI Programming, Python Game Development, Python Security and Cryptography, Python Blockchain Programming, Python Machine Learning, Python Deep Learning, Python Natural Language Processing, Python Computer Vision, Python Robotics, Python Scientific Computing, Python Data Engineering, Python Cloud Computing, Python DevOps Tools, Python Performance Optimization, Python Design Patterns, Python Type Hints, Python Version Control with Git, Python Documentation, Python Internationalization and Localization, Python Accessibility, Python Configurations and Environments, Python Continuous Integration/Continuous Deployment, Python Algorithm Design, Python Problem Solving, Python Code Readability, Python Software Architecture, Python Refactoring, Python Integration with Other Languages, Python Microservices Architecture, Python Serverless Computing, Python Big Data Analysis, Python Internet of Things (IoT), Python Geospatial Analysis, Python Quantum Computing, Python Bioinformatics, Python Ethical Hacking, Python Artificial Intelligence, Python Augmented Reality and Virtual Reality, Python Blockchain Applications, Python Chatbots, Python Voice Assistants, Python Edge Computing, Python Graph Algorithms, Python Social Network Analysis, Python Time Series Analysis, Python Image Processing, Python Audio Processing, Python Video Processing, Python 3D Programming, Python Parallel Computing, Python Event-Driven Programming, Python Reactive Programming.

Variables, Data Types, Control Structures, Loops, Functions, Modules, Packages, File Handling, Errors and Exceptions, Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Lists, Dictionaries, Tuples, Sets, String Manipulation, Regular Expressions, Comprehensions, Lambda Functions, Map, Filter, and Reduce, Decorators, Generators, Context Managers, Concurrency with Threads, Asynchronous Programming, Multiprocessing, Networking, Database Interaction, Debugging, Testing and Unit Testing, Virtual Environments, Package Management, Data Analysis, Data Visualization, Web Scraping, Web Development with Flask/Django, API Interaction, GUI Programming, Game Development, Security and Cryptography, Blockchain Programming, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Scientific Computing, Data Engineering, Cloud Computing, DevOps Tools, Performance Optimization, Design Patterns, Type Hints, Version Control with Git, Documentation, Internationalization and Localization, Accessibility, Configurations and Environments, Continuous Integration/Continuous Deployment, Algorithm Design, Problem Solving, Code Readability, Software Architecture, Refactoring, Integration with Other Languages, Microservices Architecture, Serverless Computing, Big Data Analysis, Internet of Things (IoT), Geospatial Analysis, Quantum Computing, Bioinformatics, Ethical Hacking, Artificial Intelligence, Augmented Reality and Virtual Reality, Blockchain Applications, Chatbots, Voice Assistants, Edge Computing, Graph Algorithms, Social Network Analysis, Time Series Analysis, Image Processing, Audio Processing, Video Processing, 3D Programming, Parallel Computing, Event-Driven Programming, Reactive Programming.


Python Glossary, Python Fundamentals, Python Inventor: Python Language Designer: Guido van Rossum on 20 February 1991; PEPs, Python Scripting, Python Keywords, Python Built-In Data Types, Python Data Structures - Python Algorithms, Python Syntax, Python OOP - Python Design Patterns, Python Module Index, pymotw.com, Python Package Manager (pip-PyPI), Python Virtualization (Conda, Miniconda, Virtualenv, Pipenv, Poetry), Python Interpreter, CPython, Python REPL, Python IDEs (PyCharm, Jupyter Notebook), Python Development Tools, Python Linter, Pythonista-Python User, Python Uses, List of Python Software, Python Popularity, Python Compiler, Python Transpiler, Python DevOps - Python SRE, Python Data Science - Python DataOps, Python Machine Learning, Python Deep Learning, Functional Python, Python Concurrency - Python GIL - Python Async (Asyncio), Python Standard Library, Python Testing (Pytest), Python Libraries (Flask), Python Frameworks (Django), Python History, Python Bibliography, Manning Python Series, Python Official Glossary - Python Glossary, Python Topics, Python Courses, Python Research, Python GitHub, Written in Python, Python Awesome List, Python Versions. (navbar_python - see also navbar_python_libaries, navbar_python_standard_library, navbar_python_virtual_environments, navbar_numpy, navbar_datascience)

Homebrew: Cloud Monk's Package Manager Book Homebrew Chapter, Cloud Monk's Development PC DevOps Automation via Ansible-Chocolatey-PowerShell-Homebrew-DNF-APT, Homebrew Glossary, Homebrew Fundamentals, Homebrew Inventor - Homebrew Designer: Mike McQuaid, Brew DevOps - Homebrew on macOS - macOS DevOps - MacOps, Homebrew on Linux - Linux DevOps - LinuxOps, Homebrew Automation, Idempotent, Refreshenv, Homebrew Topics, macOS Package Managers, Package managers, macOS Configuration Management, PowerShell on macOS Ansible on macOS, Chef on macOS, Puppet on macOS (navbar_brew - see also navbar_choco, navbar_package_manager)


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brew_install_poetry.txt · Last modified: 2024/04/28 03:46 by 127.0.0.1