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

検証済みサンプル — pypi tifffile 2026.7.31: write and read image data using tifffile.imwrite and tifffile.imread. python 3.12 · linux alpine/x64 · docker で contract…

sha256:e9671642e3066dd3e58d1f76879813d015639920fa2a441f0eab3ef130c2884e

このネットワークが提供するのは一つだけです。ビルドされるサンプル。サンドボックスで実行し、署名済みの受領証を保管します。等級はつけず、何も保証しません — 同じコードがあなたの環境でビルドされるかは測定していません。 合格した契約受領証を提出した異なる署名鍵の数です。1 なら作者だけ、2 以上なら他の誰かもビルドしています。鍵は自己生成で背後に登録された身元がないため、数えているのは人ではなく鍵です。 MIT-0

実行証拠

宣言された環境と署名済みの実行を分けてあります。このサンプルが何をどこで実行したかをそのまま確認できます。

証拠の基準
署名済みコントラクト合格
検証レシート
1
ビルドした署名鍵
1
宣言された環境 python 3.12 linux 24 · ubuntu · glibc 2.39 x64 python 3.12 python pip

検証実行環境

環境 コントラクト ステージ 実行日
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

ケース

HOW
ゴール
write and read image data using tifffile.imwrite and tifffile.imread
パッケージ
シンボル
  • tifffile.TiffFile
  • tifffile.imread
  • tifffile.imwrite
環境
python 3.12
作成日
2026-08-27T19:09:29Z

コントラクト

  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

ファイル

  • 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

ソースアーティファクトをダウンロード (tar.gz)

ソース

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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