#!/usr/bin/env python
# coding: utf-8

# In[1]:


from cucim import CuImage
from cucim.clara.cache import calc_preferred_cache_memory

img = CuImage("notebooks/input/image.tif")
memory_capacity = calc_preferred_cache_memory(img, (256, 256))
CuImage.cache("per_process", memory_capacity=memory_capacity, record_stat=True)
#CuImage.cache("per_process", memory_capacity=2048, record_stat=True)

region = img.read_region((0,0), (100,100))

cache = CuImage.cache()


# In[2]:


cache.config


# In[3]:


print(f"cache hit: {cache.hit_count}, chche miss: {cache.miss_count}")


# In[4]:


region = img.read_region((0,0), (100,100))

print(f"cache hit: {cache.hit_count}, chche miss: {cache.miss_count}")
print(f"items in cache: {cache.size}/{cache.capacity}, memory usage in cache: {cache.memory_size}/{cache.memory_capacity}")


# In[1]:


from cucim import CuImage
img = CuImage("notebooks/input/image.tif")


# In[3]:


dir(img._C)


# In[1]:


from cucim import CuImage

img = CuImage("notebooks/input/image.tif")


# In[5]:


get_ipython().run_cell_magic('timeit', '', '\nimg.is_loaded\n')


# In[6]:


get_ipython().run_cell_magic('timeit', '', 'img._C.is_loaded\n')


# In[14]:


get_ipython().system('pip install --force-reinstall dist/*.whl')

dir(img)


# In[3]:


get_ipython().run_cell_magic('timeit', '', '\nimg.is_loaded\n')


# In[9]:


help(img.read_region)


# In[6]:


from cucim import CuImage
img = CuImage("notebooks/input/image.tif")
region = img.read_region((1000,1000), (100, 100))


# In[7]:


from PIL import Image
import numpy as np
Image.fromarray(np.asarray(region))


# In[8]:


import cupy as cp

region_cupy = img.read_region((1000,1000), (100, 100), device='cuda')
vis = cp.asarray(region_cupy)


# In[15]:


Image.fromarray(vis.get())


# In[16]:


del vis


# In[12]:


b.__array_interface__


# In[13]:


get_ipython().system('pip install cupy-cuda112')