### Manually installing TheFuzz via Git clone and setup.py Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst These commands manually clone the TheFuzz repository, navigate into the directory, and install the library using its `setup.py` script, providing full control over the installation process. ```bash git clone git://github.com/seatgeek/thefuzz.git thefuzz cd thefuzz python setup.py install ``` -------------------------------- ### Installing TheFuzz via PyPI using pip Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This command installs the latest stable version of TheFuzz library from PyPI using the pip package manager. ```bash pip install thefuzz ``` -------------------------------- ### Adding TheFuzz to requirements.txt for Git-based installation Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This line can be added to a `requirements.txt` file to specify TheFuzz installation from a specific Git commit via SSH, allowing for reproducible environments when running `pip install -r requirements.txt`. ```bash git+ssh://git@github.com/seatgeek/thefuzz.git@0.19.0#egg=thefuzz ``` -------------------------------- ### Installing TheFuzz from GitHub at a specific version using pip Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This command installs a specific version (0.19.0) of TheFuzz directly from its GitHub repository using pip, useful for development or specific version requirements. ```bash pip install git+git://github.com/seatgeek/thefuzz.git@0.19.0#egg=thefuzz ``` -------------------------------- ### Comparing fuzz.ratio and fuzz.token_sort_ratio for reordered strings in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This example highlights the difference between `fuzz.ratio` and `fuzz.token_sort_ratio`. `token_sort_ratio` sorts the tokens in both strings alphabetically before calculating the ratio, making it robust to word order changes. ```python fuzz.ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear") fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear") ``` -------------------------------- ### Comparing fuzz.token_sort_ratio and fuzz.partial_token_sort_ratio in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This example demonstrates `fuzz.partial_token_sort_ratio`, which combines the benefits of partial matching and token sorting. It's effective when comparing strings where one is a reordered subset of the other. ```python fuzz.token_sort_ratio("fuzzy was a bear", "wuzzy fuzzy was a bear") fuzz.partial_token_sort_ratio("fuzzy was a bear", "wuzzy fuzzy was a bear") ``` -------------------------------- ### Using process.extractOne with a custom scorer for file path matching in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This example demonstrates passing a custom `scorer` (e.g., `fuzz.token_sort_ratio`) to `process.extractOne`. This allows for more nuanced matching, such as when comparing file paths where word order or specific token handling is crucial. ```python process.extractOne("System of a down - Hypnotize - Heroin", songs) process.extractOne("System of a down - Hypnotize - Heroin", songs, scorer=fuzz.token_sort_ratio) ``` -------------------------------- ### Calculating simple ratio with fuzz.ratio in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This example uses `fuzz.ratio` to calculate the Levenshtein distance-based similarity between two strings, returning a score out of 100. It shows how minor differences affect the overall ratio. ```python fuzz.ratio("this is a test", "this is a test!") ``` -------------------------------- ### Defining Python Development Dependencies Source: https://github.com/seatgeek/thefuzz/blob/master/requirements.txt This snippet specifies the exact versions of Python packages necessary for project development, testing, and documentation. These dependencies are typically installed using pip from a requirements.txt file to maintain environment consistency. ```Python rapidfuzz==3.4.0 pycodestyle==2.11.1 hypothesis==6.88.1 pytest==7.4.3 docutils==0.20.1 Pygments==2.16.1 wheel==0.41.3 setuptools==68.2.2 gitchangelog==3.0.4 restructuredtext_lint==1.4.0 ``` -------------------------------- ### Importing fuzz and process modules from TheFuzz Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This snippet demonstrates how to import the `fuzz` module for various ratio calculations and the `process` module for extracting best matches from a list of choices, which are the core components of TheFuzz library. ```python from thefuzz import fuzz from thefuzz import process ``` -------------------------------- ### Extracting best matches using process.extract and process.extractOne in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This snippet shows how to use `process.extract` to find multiple best matches from a list of choices and `process.extractOne` to find the single best match. It's useful for searching and ranking strings against a predefined list. ```python choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"] process.extract("new york jets", choices, limit=2) process.extractOne("cowboys", choices) ``` -------------------------------- ### Comparing fuzz.token_sort_ratio and fuzz.token_set_ratio for duplicate tokens in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This snippet illustrates `fuzz.token_set_ratio`, which handles duplicate and unmatched tokens by creating sets of tokens from both strings before comparison. This makes it more robust than `token_sort_ratio` for strings with differing token counts. ```python fuzz.token_sort_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear") fuzz.token_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear") ``` -------------------------------- ### Calculating partial ratio with fuzz.partial_ratio in Python Source: https://github.com/seatgeek/thefuzz/blob/master/README.rst This snippet demonstrates `fuzz.partial_ratio`, which finds the best partial match between two strings, useful when one string is a substring of another or contains it. It returns a score out of 100. ```python fuzz.partial_ratio("this is a test", "this is a test!") ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.