catena-scf 0.2.0

A Python library for simple continued fractions

catena

A pure-Python library for working with simple continued fractions (SCFs).

catena provides three main abstractions: a generative SCF driven by an arbitrary callable, a finite SCF backed by a compact fixed sequence, and a periodic SCF representing quadratic irrationals. All three share a memoised two-layer convergent engine and a common arithmetic interface.

The library has zero dependencies and requires Python ≥ 3.12.

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Mathematical background

A simple continued fraction expresses a number as

$$ a_0 + \cfrac{1}{a_1 + \cfrac{1}{a_2 + \cfrac{1}{\ddots}}} ;=; [a_0;, a_1, a_2, \ldots] $$

where $a_0 \in \mathbb{Z}$ and $a_k \in \mathbb{Z}_{>0}$ for $k \geq 1$. When the sequence is finite the expression represents a rational number exactly.

Convergents are the rational approximations obtained by truncating the expansion:

$$ \frac{p_n}{q_n} = [a_0;, a_1, \ldots, a_n] $$

They satisfy the two-term recurrence

$$ p_n = a_n p_{n-1} + p_{n-2}, \qquad q_n = a_n q_{n-1} + q_{n-2} $$

and are best rational approximations to the value being expanded.

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Why catena?

Existing Python libraries for continued fractions tend to focus on the finite, rational case. For example, continuedfractions is a well-designed object-oriented library that extends fractions.Fraction to cover finite SCFs and related objects such as Farey sequences and mediants — but its scope is explicitly limited to rationals. Many other packages take an even more procedural approach, exposing functions that operate on lists of coefficients rather than first-class objects.

catena starts from the general, countably infinite definition. A SimpleContinuedFraction is driven by a generator callable that produces partial quotients on demand — so an infinite expansion like $\sqrt{2}$ or $e$ is represented by a small, fixed-size object regardless of how many convergents you compute. Convergents are memoised as they are requested; you pay only for what you use, and the cache is shared transparently when the same tail is viewed with a different integer part.

catena also does not subclass fractions.Fraction. Convergents produced by the two-term recurrence are guaranteed to be in lowest terms — consecutive convergents satisfy $p_n q_{n-1} - p_{n-1} q_n = \pm 1$, so $\gcd(p_n, q_n) = 1$ always holds. fractions.Fraction normalises every result through a GCD reduction regardless, which means wrapping convergents in it would pay a cost that buys nothing. Instead, catena stores numerator/denominator pairs as plain (int, int) tuples and implements only the arithmetic operations it actually needs, with targeted GCD reductions where they are genuinely required (e.g. when adding two finite SCFs).

The long-term goal is to build on this foundation a high-level API for concrete applications of continued fraction theory. The following are already implemented or partially implemented:

• Quadratic irrationals and periodic SCFs — PeriodicSimpleContinuedFraction represents numbers of the form $(P + \sqrt{D})/Q$ as eventually-periodic expansions. Provides quadratic_surd(), conjugate(), inverse(), from_quadratic_surd(), and __float__ / as_decimal().

Planned for future releases:

• Best rational approximations — direct extraction from the convergent sequence.
• Pell's equation — solutions via the periodic expansion of $\sqrt{D}$.
• Farey sequences and mediants — enumeration of rationals and their geometric interpretation as rational points in the plane.
• Transcendental constants — generalized continued fraction expansions for $e^x$, $\tanh(1/n)$, $\tan(n)$, Bessel functions, and related sequences.
• Fibonacci-type sequences — structural connections between convergents and linear recurrences.

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Installation

pip install catena-scf

The import name is catena (unchanged from the distribution name):

import catena

Development install from the repository root:

pip install -e .

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Quick start

Finite SCF from a rational number

from catena import FiniteSimpleContinuedFraction

# 355/113  =  [3; 7, 16]
scf = FiniteSimpleContinuedFraction.from_rational((355, 113))

print(scf.integer_part)        # 3
print(scf.partial_quotients)   # (7, 16)
print(scf.terminal_convergent) # (355, 113)

# Successive convergents
scf.convergent(0)   # (22, 7)   — the classic 22/7 approximation
scf.convergent(1)   # (355, 113)

Finite SCF from a float or decimal string

import math

scf = FiniteSimpleContinuedFraction.from_float(math.pi, max_denominator=1000)
print(scf.terminal_convergent)   # (355, 113)

scf2 = FiniteSimpleContinuedFraction.from_decimal("3.14159265")

Infinite (generative) SCF

from catena import SimpleContinuedFraction

# Golden ratio  φ = [1; 1, 1, 1, ...]
phi = SimpleContinuedFraction(lambda n: 1, integer_part=1)

phi.tail_convergent(10)   # (89, 144) — consecutive Fibonacci numbers
phi.convergent(10)        # (233, 144)

# Shift the integer part without recomputing the cache
phi_shifted = phi + 2     # [3; 1, 1, 1, ...]  — shares phi's cache

SCF arithmetic

from catena import FiniteSimpleContinuedFraction

a = FiniteSimpleContinuedFraction.from_rational((1, 3))
b = FiniteSimpleContinuedFraction.from_rational((1, 6))

c = a + b                       # FiniteSimpleContinuedFraction for 1/2
c.terminal_convergent           # (1, 2)
float(c)                        # 0.5

# Multiplicative inverse
inv = a.inverse()               # FiniteSimpleContinuedFraction for 3/1
inv.terminal_convergent         # (3, 1)
inv.inverse() is a              # True — cached, returns original object

Periodic SCF — quadratic irrationals

from catena import PeriodicSimpleContinuedFraction

# √2 = [1; (2, 2, 2, ...)]
sqrt2 = PeriodicSimpleContinuedFraction(period=[2], integer_part=1)

float(sqrt2)                    # 1.4142135623730951
sqrt2.quadratic_coefficients()  # (1, 0, -2)  →  x² - 2 = 0
sqrt2.quadratic_surd()          # (0, 1, 2)   →  (0 + √2) / 1

conj = sqrt2.conjugate()        # the other root: -√2
float(conj)                     # -1.4142135623730951
conj.conjugate() is sqrt2       # True

inv = sqrt2.inverse()           # 1/√2 = [0; 1, (2)]
float(inv)                      # 0.7071067811865476

# Construct directly from surd parameters (P + √D) / Q
phi = PeriodicSimpleContinuedFraction.from_quadratic_surd(1, 2, 5)
float(phi)                      # 1.618033988749895

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Project structure

catena/
├── __init__.py          # Public exports
├── catena.py            # SimpleContinuedFraction, FiniteSimpleContinuedFraction,
│                        #   PeriodicSimpleContinuedFraction
├── generators.py        # Generator, CachedGenerator, FiniteGenerator, PeriodicGenerator
├── cache.py             # Cache, OrdinalCache, CacheHandler, SetCache, SetLightCache
├── strings.py           # safe_int_str, safe_full_int_str
└── mathlib/
    ├── __init__.py      # Re-exports all submodules
    ├── core.py          # Type aliases, get_sign, simplify, canonicalize, euclidean_step
    ├── arithmetic.py    # add_fractions, multiply_fractions, square_fraction, sandwich_fraction
    ├── convert.py       # from_rational_to_scf, from_float_to_*, from_decimal_to_rational,
    │                    #   from_quadratic_surd_to_scf, from_quadratic_surd_to_conjugate_scf
    ├── quadratic.py     # simplify/normalize_quadratic_surd, quadratic_roots/surd_from_coefficients
    └── metric.py        # product_digit_count, average_digit_count

testing/
├── conftest.py              # Session fixtures, large-integer store management
├── bigints.py               # Deterministic large-integer generation and binary store
├── test_scf.py              # SimpleContinuedFraction tests
├── test_finite_scf.py       # FiniteSimpleContinuedFraction tests
├── test_periodic_scf.py     # PeriodicSimpleContinuedFraction tests
├── test_generators.py       # Generator / CachedGenerator / FiniteGenerator / PeriodicGenerator tests
├── test_cache.py            # Cache / OrdinalCache / CacheHandler / SetCache tests
├── test_math_core.py        # mathlib.core tests
├── test_math_arithmetic.py  # mathlib.arithmetic tests
├── test_math_quadratic.py   # mathlib.quadratic + convert surd helpers tests
├── test_math_metric.py      # mathlib.metric tests
└── test_strings.py          # strings tests

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API reference

catena.catena

SimpleContinuedFraction

Represents an infinite SCF $[a_0;, a_1, a_2, \ldots]$ driven by a callable generator.

SimpleContinuedFraction(generator, integer_part=0)

Member	Description
integer_part	$a_0$; readable and writable
generator	The underlying Generator instance
cache_handler	CacheHandler managing the memoised convergents
tail_convergent(n)	$(h_n, k_n)$ for the tail $[a_1;\ldots,a_{n+1}]$; memoised
convergent(n)	$(a_0 k_n + h_n,; k_n)$ — the full $n$-th convergent
shift(n)	New SCF with integer_part + n, sharing the same cache
tail()	New SCF with integer_part = 0, sharing the same generator and cache
inverse()	Multiplicative inverse $1/x$; result cached write-once in _inverse
scf + k / k + scf	Integer shift (delegates to shift)

The attributes _generator, _cache_handler, and tail_convergent are frozen after construction; any attempt to reassign them raises AttributeError. _inverse is write-once: set by the first call to inverse() and immutable thereafter.

FiniteSimpleContinuedFraction

Extends SimpleContinuedFraction with a fixed, indexable tail.

FiniteSimpleContinuedFraction(partial_quotients, integer_part=0, dtype=None)

Member	Description
partial_quotients	Tail as an immutable tuple (materialises the full sequence)
size / len(scf)	Number of partial quotients
terminal_convergent	Last convergent — exact rational value of the SCF
terminal_tail_convergent	Last tail convergent
to_decimal()	Exact value as decimal.Decimal
inverse()	Multiplicative inverse; raises ZeroDivisionError for the zero value
float(scf)	Terminal convergent as Python float
int(scf)	integer_part
bool(scf)	False only when integer_part == 0 and the tail is empty
scf + scf	Rational sum; returns a new FiniteSimpleContinuedFraction

Factory class methods:

Method	Input
from_rational(r)	Fraction, (p, q) tuple, or int
from_float(f, max_denominator=None)	Python float
from_decimal(d)	Finite decimal string, e.g. "3.14"

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PeriodicSimpleContinuedFraction

Represents an eventually-periodic SCF $[a_0;, a_1, \ldots, a_k,, \overline{b_1, \ldots, b_m}]$ corresponding to a quadratic irrational $(P + \sqrt{D})/Q$.

PeriodicSimpleContinuedFraction(period, integer_part=0, pre_period=())

The period is a non-empty tuple of strictly positive integers; pre_period (if given) is the finite non-repeating tail $[a_1, \ldots, a_k]$.

Member	Description
period	Repeating part as an immutable tuple
pre_period	Non-repeating tail prefix (empty tuple if purely periodic)
quadratic_surd()	Returns (P, Q, D) such that the SCF represents $(P + \sqrt{D})/Q$
quadratic_coefficients()	Minimal polynomial coefficients $(A, B, C)$ with $Ax^2 + Bx + C = 0$
is_principal_surd()	True when the surd satisfies $0 < x$ and $-1 < x' < 0$ (principal / reduced)
is_conjugate_root()	True when the surd is the conjugate of a principal surd
conjugate()	The conjugate surd $\hat{x} = (P - \sqrt{D})/Q$; result cached write-once
inverse()	Multiplicative inverse $1/x$; result cached write-once
from_quadratic_surd(P, Q, D)	Class method — construct from surd parameters directly
float(scf)	Decimal approximation via as_decimal() (50 significant digits by default)
as_decimal(n_digits)	Arbitrarily precise Decimal value
-scf	Negation; returns a new PeriodicSimpleContinuedFraction for $-x$

Key attributes (_conjugate, _inverse, _quadratic_surd, _quadratic_coefficients) are write-once: computed on first access and frozen thereafter.

catena.generators

Class	Description
Generator(f)	Validates that f(n) always returns a strictly positive int; avoids double-wrapping
CachedGenerator(f)	Like Generator but memoises results in an OrdinalCache
FiniteGenerator(data, dtype=None)	Fixed sequence; auto-selects the smallest unsigned array typecode (B/H/I/L/Q); falls back to tuple for values exceeding 64-bit range
PeriodicGenerator(period, pre_period=())	Repeating sequence; delegates to FiniteGenerator for each segment

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catena.cache

functools.lru_cache / functools.cache bind the cache to a single function with no public API to extract or share the underlying store. catena needs the cache to be an explicit, first-class object for three reasons:

• Shareability. Two SCF instances with the same tail (e.g. phi and phi + 2 after an integer shift) should share a single convergent cache. The same applies to an expensive recursive generator used by several SCFs — the computation should be paid once, not once per instance.
• Pruning. CacheHandler.prune_cache(n) drops all entries below index n, letting callers free memory mid-computation without discarding the handler or its references.
• Coherent reset. CacheHandler.reset_cache() clears the store while keeping the same handler object alive. Because every SCF that shares a tail holds a reference to the same CacheHandler, a single reset is visible to all of them simultaneously — something that is impossible when the cache is private to each decorated function.

CacheHandler owns the underlying store and exposes it; SetLightCache and SetCache are thin wrappers that delegate to it.

Symbol	Description
Cache	Append-only UserDict; raises KeyError if an existing key is overwritten
OrdinalCache	Cache restricted to integer keys; tracks smallest_key and largest_key
CacheHandler	Owns a Cache; records call_count (misses) and read_count (hits); supports reset_cache() and prune_cache(n)
SetCache(func, cache_handler)	Decorator/factory; keys by (args, frozenset(kwargs))
SetLightCache(func, cache_handler)	Lightweight variant for single-argument callables; keys by the argument directly

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catena.mathlib

core

Function	Description
get_sign(n)	1, -1, or 0
simplify(p, q)	Reduce fraction by $\gcd$; preserves signs
canonicalize(p, q)	simplify + ensure denominator is positive
euclidean_step(p, q)	Returns (p//q, p%q, q) — one step of the Euclidean algorithm
quotent_sign(p, q)	Sign of $p/q$ without division; None if $q = 0$

Type aliases: IntPair = tuple[int, int], IntTriplet = tuple[int, int, int].

arithmetic

Function	Description
add_fractions(a, b)	$a + b$ with GCD-based intermediate reduction
multiply_fractions(a, b)	$a \times b$ with cross-GCD reduction
square_fraction(a)	$a^2$
sandwich_fraction(a, b)	$(p/q) \text{ sandwich } (r/s) = (ps, qr)$

Each function has an u-prefixed unpacked variant (e.g. uadd_fractions(p, q, r, s)) to avoid tuple construction overhead in hot paths.

convert

Function	Description
from_rational_to_scf(r)	Rational → (a0, [a1, …]) via Euclidean algorithm
from_float_to_rational(f, limit_denominator)	float → (p, q) via fractions.Fraction
from_float_to_scf(f, limit_denominator)	Chains the two above
from_decimal_to_rational(d)	Finite decimal string → exact (p, q) in lowest terms
from_quadratic_surd_to_scf(P, Q, D)	$(P + \sqrt{D})/Q$ → (a0, period, pre_period) via integer-only Euclidean expansion
from_quadratic_surd_to_conjugate_scf(P, Q, D)	Conjugate surd $(-P + \sqrt{D})/(-Q)$ → same output format

Rational alias: Fraction | tuple[int, int] | int.

quadratic

Pure-integer helpers for quadratic surds $(P + \sqrt{D})/Q$.

Function	Description
simplify_quadratic_surd(P, Q, D)	Divides $P$, $Q$ by $\gcd(P, Q)$ where the same factor divides $D$; returns (P, Q, D)
normalize_quadratic_surd(P, Q, D)	Full normalisation: simplify + ensure $Q > 0$
quadratic_roots_from_coefficients(A, B, C)	Both roots of $Ax^2 + Bx + C = 0$ as (P, Q, D) pairs
quadratic_surd_from_coefficients(A, B, C)	The larger root of $Ax^2 + Bx + C = 0$ as a (P, Q, D) surd

metric

Function	Description
product_digit_count(arr)	Total decimal digit count of $\prod arr$ (log-sum, no actual multiplication)
product_digit_count_high_precision(arr)	Same via Decimal for higher accuracy
average_digit_count(arr)	product_digit_count(arr) / len(arr)

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catena.strings

Function	Description
safe_int_str(n, n_trailing=99)	Abbreviated repr for large integers, avoiding PEP 678 conversion limits
safe_full_int_str(n)	Full decimal string of arbitrarily large integers via chunked conversion

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Design notes

Zero dependencies. The library is pure Python and relies only on the standard library (fractions, decimal, array, collections, math).

Immutability by default. Core attributes of SimpleContinuedFraction, CacheHandler, and related classes are frozen after construction. Mutations raise AttributeError early rather than silently producing wrong results.

Two-layer convergent computation. tail_convergent computes the recurrence for the tail $[a_1; a_2, \ldots]$ independently of $a_0$. This allows shift and integer addition to create new SCF views sharing a fully populated cache without recomputation. For periodic SCFs the same tail is shared between an instance and its inverse() / conjugate() counterparts.

Write-once inverse and conjugate. The first call to inverse() or conjugate() on a SimpleContinuedFraction or PeriodicSimpleContinuedFraction stores the result in a frozen attribute. Subsequent calls return the cached object directly, and the double-inverse / double-conjugate identity x.inv().inv() is x holds by construction.

Compact storage. FiniteGenerator automatically selects the smallest unsigned array.array typecode that covers the value range, falling back to a plain tuple only when values exceed the 64-bit ceiling.

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Running the tests

pytest testing/

The test suite uses a binary large-integer store (testing/store/) for expensive pre-computed values. It is rebuilt automatically when conftest._PRECOMPUTED changes.

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Contributing

Contributions are welcome. See CONTRIBUTING.md for guidelines on setting up the development environment, running the test suite, and the conventions used across the project.

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License

GPL-3.0-or-later