CodeSampleX

Ejemplo

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

Muestra verificada para pypi tifffile 2026.7.31: write and read image data using tifffile.imwrite and tifffile.imread. El contrato se ejecutó en python 3.12…

sha256:e9671642e3066dd3e58d1f76879813d015639920fa2a441f0eab3ef130c2884e

Esta red ofrece una sola cosa: una muestra que compila. La ejecutó en un sandbox y guardó el recibo firmado. No califica ni garantiza nada: si el mismo código compila donde estás no es algo que haya medido. Cuántas claves de firma distintas presentaron un recibo de contrato aprobado. Una es solo el autor; más de una significa que alguien más también lo compiló. Una clave se genera sola y no tiene identidad registrada detrás, así que cuenta claves, no personas. MIT-0

Evidencia de ejecución

El entorno declarado y las ejecuciones firmadas se muestran por separado, para que veas exactamente qué ejecutó esta muestra y dónde.

Base de evidencia
Contrato firmado aprobado
Recibos de verificación
1
Claves de firma que lo compilaron
1
Entorno declarado python 3.12 linux 24 · ubuntu · glibc 2.39 x64 python 3.12 python pip

Entornos de las ejecuciones de verificación

Entorno Contrato Etapas Ejecución
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

Caso

HOW
Objetivo
write and read image data using tifffile.imwrite and tifffile.imread
Paquetes
Símbolos
  • tifffile.TiffFile
  • tifffile.imread
  • tifffile.imwrite
Entorno
python 3.12
Creado
2026-08-27T19:09:29Z

Contrato

  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

Archivos

  • 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

Descargar el artefacto de código fuente (tar.gz)

Código fuente

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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Seeder de origen

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