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Hyperp - hyper productive utility functions for Python

Hyperp is a small utility library designed to simplify everyday coding tasks.
It embraces safe defaults over exceptions — for example, read() returns a default value if the file can't be read, helping you gracefully handle edge cases without extra boilerplate.

Purpose

I run a software consultancy where we build products for clients and internal projects.
To stay Hyper Productive (hence "hyperp"), I created this library to streamline development and encourage safer patterns.
It also helps my team write more robust code with minimal effort.

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General Utility Functions

Documentation by example

from hyperp import *

# to_int: Convert to int, or return default on failure
to_int("42", 0)     # 42
to_int("x", 0)      # 0
to_int(None, -1)    # -1

# is_int: Check if input is an integer
is_int("123")       # True
is_int("abc")       # False

# is_float: Check if input is a float
is_float("3.14")    # True
is_float("hello")   # False

# is_ip4: Check if input is a valid IPv4 address
is_ip4("192.168.1.1")   # True
is_ip4("999.999.0.1")   # False

# mkdir: Create a directory and all parents if needed
mkdir("path/to/dir")

# mkdir_file: Create parent directories for a file path
mkdir_file("logs/output.log")  # Creates the 'logs' directory if missing

# write: Write string data to a file, creating dirs if needed
write("out/data.txt", "hello world")

# read: Read a file, return default on error
read("out/data.txt", "default")    # "hello world" or "default" if not found

# rmdir: Remove a directory and its contents, ignore errors
rmdir("path/to/remove")

# sanitize: Make filename safe for storage/use
sanitize("my*unsafe:file?.txt")    # "myunsafefile.txt"

# send_file: Upload file to a URL as multipart/form-data
send_file("https://example.com/upload", "report.pdf")  # Returns dict with msg and response

# download: Download file from URL to disk, streaming for efficiency
download("https://example.com/image.jpg", "images/photo.jpg")  # Returns "images/photo.jpg"
download("https://bad-url.com/file.pdf", "out.pdf", "")        # Returns "" on error

# throttle_call: Limit function execution to once per N seconds
def load_data():
    return fetch_from_api()

throttle_call(load_data, 5)  # Executes
throttle_call(load_data, 5)  # Returns None (too soon)
time.sleep(5)
throttle_call(load_data, 5)  # Executes again

# timer: Decorator to measure function execution time
@timer
def slow_function():
    time.sleep(1)
    return "done"

slow_function()  # Prints: "slow_function took 1.0001 seconds"

Django specific

Documentation by example

from hyperp.django import *

# cache: Shorthand for Django's cache_control with flexible time units
@cache(seconds=30, minutes=5, hours=1, days=1, public=False)
def my_view(request):
    ...

# get_csrf: Return CSRF token input element for forms
def form_view(request):
    csrf = get_csrf(request)
    return HttpResponse(f"<form>{csrf}<input name='x'></form>")

# get_ip: Extract client IP address from request headers
def log_request(request):
    ip = get_ip(request)
    # Use the IP (e.g., for logging, rate limiting, etc.)

Release files for hyperp 1.0.15

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hyperp 1.0.15
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hyperp-1.0.15.tar.gz 8.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for hyperp 1.0.15
File Interpreter ABI Platform
hyperp-1.0.15-py3-none-any.whl Python 3 none any Details

Total release size: 17.4 kB

Release files / hyperp-1.0.15.tar.gz

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