CodeSampleX

Sample

tifffile 2026.7.31: write and read image data using tifffile.imwrite and tifffile.imread

Verified sample for pypi tifffile 2026.7.31: write and read image data using tifffile.imwrite and tifffile.imread. The contract ran on python 3.12 · linux…

sha256:e9671642e3066dd3e58d1f76879813d015639920fa2a441f0eab3ef130c2884e

This network offers one thing: a sample that builds. It ran the sample in a sandbox and kept the signed receipt. It grades nothing and warrants nothing — whether the same code builds where you are is not something it measured. How many distinct signing keys filed a passing contract receipt. One is the author alone; more than one means somebody else built it too. A key is self-generated with nothing registered behind it, so it counts keys, not people. MIT-0

Execution evidence

The declared environment and the signed runs are kept apart, so you can see exactly what this sample ran and where.

Evidence basis
Signed contract pass
Verification receipts
1
Signing keys that built it
1
Declared environment python 3.12 linux 24 · ubuntu · glibc 2.39 x64 python 3.12 python pip

Verification-run environments

Environment Contract Stages Run
python 3.12 · linux alpine/x64 · docker ed25519:c1973797be207ac4 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · python@1python:3.12-alpine@sha256:d09d15e60962…		 2026-08-27

Case

HOW
Goal
write and read image data using tifffile.imwrite and tifffile.imread
Packages
Symbols
  • tifffile.TiffFile
  • tifffile.imread
  • tifffile.imwrite
Environment
python 3.12
Created
2026-08-27T19:09:29Z

Contract

  1. assert tifffile.__version__ == '2026.7.31'
  2. tifffile.imwrite writes 2D uint8 image arrays to TIFF format and tifffile.imread recovers identical array shape, dtype, and pixel values
  3. tifffile.imwrite writes 3D RGB image arrays and tifffile.imread preserves dimensions and multi-channel pixel data
  4. tifffile.imwrite supports uint16 and float32 numeric data types with lossless roundtrip verification
  5. tifffile.TiffFile opens TIFF streams in a context manager and provides access to pages, series, shape, and dtype metadata
  6. tifffile.TiffFile raises tifffile.TiffFileError when attempting to read corrupted or non-TIFF binary data

Files

  • PROMPT.md
  • csx.json
  • pyproject.toml
  • requirements.lock
  • requirements.txt
  • spec.json
  • src/__init__.py
  • src/tiff_io.py
  • test/__init__.py
  • test/contract.py
  • uv.lock

Download the source artifact (tar.gz)

Source

PROMPT.md
Clean-room public code sample — generation instructions

Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.

A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.

Goal: write and read image data using tifffile.imwrite and tifffile.imread
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:pypi/tifffile@2026.7.31
Demonstrate these symbols/APIs:
  - tifffile.TiffFile
  - tifffile.imread
  - tifffile.imwrite

Rules:
  - One focused purpose; the smallest project that proves the goal.
  - Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
  - Pin every dependency with a lockfile so resolution is reproducible.
  - No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
  - No personal names, emails, company names, or project identifiers of any kind.
  - No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
  - Keep it under 200 files and 256KB packed.
csx.json
{"case":{"caseId":"case:sha256:e1aeea11a1cf51ddd482b4ece617759a2abd02079b8ffdfd9085cdf3d395c247","contract":["assert tifffile.__version__ == '2026.7.31'","tifffile.imwrite writes 2D uint8 image arrays to TIFF format and tifffile.imread recovers identical array shape, dtype, and pixel values","tifffile.imwrite writes 3D RGB image arrays and tifffile.imread preserves dimensions and multi-channel pixel data","tifffile.imwrite supports uint16 and float32 numeric data types with lossless roundtrip verification","tifffile.TiffFile opens TIFF streams in a context manager and provides access to pages, series, shape, and dtype metadata","tifffile.TiffFile raises tifffile.TiffFileError when attempting to read corrupted or non-TIFF binary data"],"goal":"write and read image data using tifffile.imwrite and tifffile.imread","kind":"HOW","packages":["pkg:pypi/tifffile@2026.7.31"],"schemaVersion":1,"symbols":["tifffile.TiffFile","tifffile.imread","tifffile.imwrite"]},"contractCommand":["python","test/contract.py"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"pypi","language":"python","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"pip","runtime":"python","runtimeVersion":"3.12","schemaVersion":1},"license":"MIT-0","packages":["pkg:pypi/tifffile@2026.7.31"],"schemaVersion":1,"subject":"pkg:pypi/tifffile@2026.7.31","symbols":["tifffile.TiffFile","tifffile.imread","tifffile.imwrite"],"verifierAdapter":"python@1"}
pyproject.toml
[project]
name = "sample-tifffile"
version = "0.1.0"
description = "Clean-room verification sample for pkg:pypi/tifffile@2026.7.31"
readme = "PROMPT.md"
requires-python = ">=3.12"
dependencies = [
    "tifffile==2026.7.31",
    "numpy==2.5.2",
]
requirements.lock
numpy==2.5.2
tifffile==2026.7.31
requirements.txt
tifffile==2026.7.31
numpy==2.5.2
spec.json
{
  "schemaVersion": 1,
  "goal": "write and read image data using tifffile.imwrite and tifffile.imread",
  "kind": "HOW",
  "packages": [
    "pkg:pypi/tifffile@2026.7.31"
  ],
  "symbols": [
    "tifffile.TiffFile",
    "tifffile.imread",
    "tifffile.imwrite"
  ]
}
src/__init__.py
"""TIFF image processing utilities using tifffile."""
src/tiff_io.py
"""TIFF image input/output helpers using tifffile."""

import io
from typing import Tuple, Any
import numpy as np
import tifffile


def write_tiff_bytes(data: np.ndarray, **kwargs: Any) -> bytes:
    """Write an image array to TIFF format in memory and return bytes."""
    buf = io.BytesIO()
    tifffile.imwrite(buf, data, **kwargs)
    return buf.getvalue()


def read_tiff_bytes(raw_bytes: bytes) -> np.ndarray:
    """Read an image array from TIFF bytes in memory."""
    buf = io.BytesIO(raw_bytes)
    return tifffile.imread(buf)


def inspect_tiff(raw_bytes: bytes) -> Tuple[int, Tuple[int, ...], str]:
    """Inspect TIFF byte stream and return (number of pages, shape, dtype string)."""
    buf = io.BytesIO(raw_bytes)
    with tifffile.TiffFile(buf) as tif:
        page_count = len(tif.pages)
        if page_count > 0:
            first_page = tif.pages[0]
            return page_count, first_page.shape, str(first_page.dtype)
        return 0, (), ""
test/__init__.py
"""Contract tests for tifffile."""
test/contract.py
"""Contract verification tests for tifffile 2026.7.31."""

import io
import os
import sys
import unittest
import numpy as np
import tifffile

# Ensure source package can be imported
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from src.tiff_io import write_tiff_bytes, read_tiff_bytes, inspect_tiff


class TestTifffileContract(unittest.TestCase):
    def test_version(self):
        """assert tifffile.__version__ == '2026.7.31'"""
        self.assertEqual(tifffile.__version__, "2026.7.31")

    def test_write_and_read_2d_uint8(self):
        """tifffile.imwrite writes 2D uint8 image arrays to TIFF format and tifffile.imread recovers identical array shape, dtype, and pixel values"""
        original = np.array([
            [0, 64, 128],
            [192, 255, 16],
            [32, 48, 80]
        ], dtype=np.uint8)

        tiff_data = write_tiff_bytes(original)
        self.assertIsInstance(tiff_data, bytes)
        self.assertGreater(len(tiff_data), 0)

        restored = read_tiff_bytes(tiff_data)
        self.assertEqual(restored.shape, original.shape)
        self.assertEqual(restored.dtype, original.dtype)
        np.testing.assert_array_equal(restored, original)

    def test_write_and_read_3d_rgb(self):
        """tifffile.imwrite writes 3D RGB image arrays and tifffile.imread preserves dimensions and multi-channel pixel data"""
        rgb_image = np.zeros((8, 8, 3), dtype=np.uint8)
        rgb_image[:, :, 0] = 255  # Red channel
        rgb_image[:, :, 1] = 128  # Green channel
        rgb_image[:, :, 2] = 64   # Blue channel

        tiff_data = write_tiff_bytes(rgb_image, photometric="rgb")
        restored = read_tiff_bytes(tiff_data)

        self.assertEqual(restored.shape, (8, 8, 3))
        self.assertEqual(restored.dtype, np.uint8)
        np.testing.assert_array_equal(restored, rgb_image)

    def test_multitype_support(self):
        """tifffile.imwrite supports uint16 and float32 numeric data types with lossless roundtrip verification"""
        # uint16 test
        u16_data = np.array([[0, 1000, 65535], [30000, 45000, 12345]], dtype=np.uint16)
        u16_bytes = write_tiff_bytes(u16_data)
        u16_restored = read_tiff_bytes(u16_bytes)
        self.assertEqual(u16_restored.dtype, np.uint16)
        np.testing.assert_array_equal(u16_restored, u16_data)

        # float32 test
        f32_data = np.array([[0.0, 0.5, 1.0], [0.125, 0.75, 0.333]], dtype=np.float32)
        f32_bytes = write_tiff_bytes(f32_data)
        f32_restored = read_tiff_bytes(f32_bytes)
        self.assertEqual(f32_restored.dtype, np.float32)
        np.testing.assert_allclose(f32_restored, f32_data, rtol=1e-6)

    def test_tifffile_metadata_inspection(self):
        """tifffile.TiffFile opens TIFF streams in a context manager and provides access to pages, series, shape, and dtype metadata"""
        img = np.arange(24, dtype=np.uint8).reshape((4, 6))
        buf = io.BytesIO()
        tifffile.imwrite(buf, img)
        buf.seek(0)

        with tifffile.TiffFile(buf) as tif:
            self.assertEqual(len(tif.pages), 1)
            page = tif.pages[0]
            self.assertEqual(page.shape, (4, 6))
            self.assertEqual(page.dtype, np.uint8)
            self.assertEqual(len(tif.series), 1)
            asarray_result = tif.asarray()
            np.testing.assert_array_equal(asarray_result, img)

        page_count, shape, dtype_str = inspect_tiff(buf.getvalue())
        self.assertEqual(page_count, 1)
        self.assertEqual(shape, (4, 6))
        self.assertEqual(dtype_str, "uint8")

    def test_corrupted_data_error(self):
        """tifffile.TiffFile raises tifffile.TiffFileError when attempting to read corrupted or non-TIFF binary data"""
        invalid_stream = io.BytesIO(b"NOT_A_VALID_TIFF_HEADER")
        with self.assertRaises(tifffile.TiffFileError):
            with tifffile.TiffFile(invalid_stream):
                pass


if __name__ == "__main__":
    unittest.main()
uv.lock
version = 1
revision = 3
requires-python = ">=3.12"

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