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IEEE Binary32 Pattern Classifier

Classify every IEEE binary32 raw pattern without numeric conversion as zero/subnormal/normal/infinity/nan, preserving sign.

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Description

Classify every IEEE binary32 raw pattern without numeric conversion as zero/subnormal/normal/infinity/nan, preserving sign.

Binary floating-point storage separates sign, biased exponent and fraction fields. Zero and subnormal patterns use a different significand rule from normal values, and reserved exponent patterns represent infinity or NaN. These tools accept exact unsigned raw patterns as decimal integer text, preserving signed-zero and payload evidence without converting the bits into a JavaScript numeric value.

Classify every IEEE binary32 raw pattern without numeric conversion as zero/subnormal/normal/infinity/nan, preserving sign.

When to use this tool

Use this tool to classify every IEEE binary32 raw pattern without numeric conversion as zero/subnormal/normal/infinity/nan, preserving sign.

How to use the tool and how it works

  1. Enter pattern using the input definitions below.
  2. Run the operation. Resolve malformed-input errors before interpreting the result.
  3. Read result.sign, result.classification. Interpret signs, units, ordering and null values using the rules below.

Read an exact unsigned 32-bit pattern from decimal text. Its fields are one sign bit, 8 exponent bits and 23 fraction bits, with exponent bias 127. An all-zero exponent gives zero when fraction is zero and subnormal otherwise; an all-one exponent gives infinity when fraction is zero and nan otherwise; other exponents give normal. Return the sign separately.1, 2

Input fieldMeaning and unitsAccepted input
patternExact unsigned 32-bit raw pattern as decimal integer text, from 0 through 2^32−1.Text, at most 8,192 UTF-16 code units; the stated grammar and narrower limits also apply.
Output fieldInterpretation
resultObject containing the fields below.
result.signRaw sign bit, 0 or 1, including for zero and NaN.
result.classificationRaw-bit class: zero, subnormal, normal, infinity or nan.
json
{
  "input": {
    "pattern": "1065353216"
  },
  "output": {
    "result": {
      "sign": 0,
      "classification": "normal"
    }
  }
}

Limitations and assumptions

  • Classification preserves raw-bit evidence; it does not convert the pattern into a JavaScript numeric value.
  • Pattern width is fixed by the tool name. Supply 0≤pattern<2^width as exact decimal integer text, not hexadecimal text or the represented float’s decimal value. Raw-bit operations preserve payloads without guaranteeing runtime NaN behavior.
  • Every declared top-level input is required and unknown fields are rejected. Ordinary strings are limited to 8,192 UTF-16 code units and lists to 128 entries, with tighter operation-specific bounds where stated. JSON text has bounded nesting and node counts.
  • Numeric outputs must be finite and within the absolute safe-integer magnitude; exact larger integers use decimal text. Source positions are zero-based UTF-16 offsets and span ends are exclusive unless a different convention is explicitly stated.

Alternative or Complementary methods

Distinguish a raw unsigned bit pattern from the decimal value that pattern represents. Use field join/split operations for exact bit editing and a separate numeric conversion when a runtime floating-point value is required.

References

  1. Numerical Computation Guide: IEEE Arithmetic — Oracle

  2. Tool behavior and example: IEEE Binary32 Pattern Classifier — tool.io

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