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示例

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

已验证示例 — pypi tifffile 2026.7.31: write and read image data using tifffile.imwrite and tifffile.imread. contract 在 python 3.12 · linux alpine/x64 · docker…

sha256:e9671642e3066dd3e58d1f76879813d015639920fa2a441f0eab3ef130c2884e

本网络只提供一件事：能构建的样本。它在沙箱中运行并保留签名回执。它不评级、不担保——同样的代码能否在你的环境构建，它没有测量过。 提交了通过的契约回执的不同签名密钥数量。为 1 表示只有作者；大于 1 表示还有其他人构建过。密钥是自行生成的，背后没有注册身份，因此计的是密钥而非人。 MIT-0

执行证据

声明的环境与签名的运行分开呈现，你可以看到这个样本究竟运行了什么、在哪里运行。

证据依据
签名契约通过
验证回执
1
构建过它的签名密钥
1
声明的环境 python 3.12 linux 24 · ubuntu · glibc 2.39 x64 python 3.12 python pip

验证运行环境

环境 契约 阶段 运行日期
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

案例

HOW
目标
write and read image data using tifffile.imwrite and tifffile.imread
包
符号
  • tifffile.TiffFile
  • tifffile.imread
  • tifffile.imwrite
环境
python 3.12
创建时间
2026-08-27T19:09:29Z

契约

  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

文件

  • 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

下载源代码构件 (tar.gz)

源代码

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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原始种子者

匿名