请用arcpy函数库帮我写10个python代码小案例，要求如下：1、功能设计到栅格图像转换；2、可以运行到arcgis10.8版本；3、请写完后执行结束

下面是一些使用ArcPy (Python API for ArcGIS) 在ArcGIS 10.8版本中完成栅格图像转换的基本示例代码。请注意，这些示例假设你已经设置了环境变量并导入了必要的模块。

1. **栅格转位图（Bitmap）**:

import arcpy
raster_path = "path_to_your_raster.tif"
output_path = "output_bitmap.bmp"
arcpy.RasterToRaster_conversion(raster_path, "NONE", output_path)

2. **栅格转灰度（Grayscale）**:

from arcpy.sa import *
input_raster = "path_to_input_raster.tif"
output_gray = "output_gray.tif"
gray_raster = Raster(input_raster).reclass(1)
gray_raster.save(output_gray)

3. **栅格转二值（Binary）**:

binary_threshold = 50
binary_raster = Con(Raster("input.tif") < binary_threshold, 1, 0)
binary_raster.save("output_binary.tif")

4. **栅格缩放（Resample）**:

resampled_raster = Resample("input.tif", "output_resampled.tif", "NEAREST")

5. **栅格裁剪（Clip）**:

clip_shapefile = "path_to_clip.shp"
output_clipped = "output_clipped.tif"
arcpy.Clip_management("input.tif", clip_shapefile, output_clipped)

6. **栅格计算（Raster Calculator）**:

new_raster = "output_calculated.tif"
expression = "!AVERAGE(!input.tif)"
arcpy.gp.RasterCalculator(expression, new_raster, "input.tif")

7. **栅格统计（Histogram）**:

histogram_raster = "input.tif"
arcpy.sa.Histogram(histogram_raster).save("output_histogram.txt")

8. **栅格叠加（Composite Bands）**:

band_list = ["Band1", "Band2"]
composite_raster = arcpy.sa.CompositeBands(band_list, "input.tif", "output_composite.tif")

9. **栅格转换为表格（Raster to Table）**:

output_table = "output_table.csv"
arcpy.RasterToASCII_conversion("input.tif", output_table)

10. **栅格分块（Block Extraction）**:

block_size = 50
blocks = "output_blocks"
arcpy.management.BlockExtract("input.tif", blocks, "", "", block_size)

每段代码执行完成后，记得检查输出文件是否生成，并根据实际情况调整参数。