>>>data = {...'client_id': CLIENT_ID,...'client_secret': CLIENT_SECRET,...'token': client.token['access_token']...}>>>client.post('%s/o/revoke_token/'% AUTH_SERVER, data=data)# ❶<Response [200]># ❶>>>client.get(RESOURCE_URL)# ❷<Response [403]># ❷ ❶ 撤销...
memory=Memory(cachedir,mmap_mode='r',verbose=0)# 使用memory.cache装饰器缓存np.square函数的结果。square=memory.cache(np.square)a=np.vander(np.arange(3)).astype(float)# 打印通过square函数处理后的矩阵a。print(square(a))# 获取a的缓存结果result=square.call_and_shelve(a)print(result.get())#...
def get_pixels_hu(slices):image = np.stack([s.pixel_array for s in slices])# Convert to int16 (from sometimes int16),# should be possible as values should always be low enough (<32k)image = image.astype(np.int16)# Set outside-of-scan pixels to 0# The intercept is usually -102...
:return: :class:`Response <Response>` object :rtype: requests.Response Usage:: >>> import requests >>> req = requests.request('GET', 'http://httpbin.org/get') <Response [200]> """ # By using the 'with' statement we are sure the session is closed, thus we # avoid leaving socke...
我们在get started目录中找how do I select a subset of a Dataframe->how do I filter specific rows from a dataframe(根据'select', 'filter', 'specific'这些关键词来看),我们得到的结果是,我们可以把它写成这样:delay_mean=dataframe[(dataframe["name"] == "endToEndDelay:mean")]。但是,我们还要“...
This API downloads partial data of an object by specifying a range. If the specified range is from 0 to 1,000, data from byte 0 to byte 1,000, 1,001 bytes in total, are r
('Choose server to shut down:') i=0 for server in servers: print (str(i) +': ' +server.hostname) i += 1 reply=str(input('Option: ')) instance=int(reply) servers[instance].shutdown_instance()from unittest.mock import patch, MagicMock@patch.object(DBCluster, "__new__") # same...
Help on function to_clipboard in module pandas.core.generic: to_clipboard(self, excel: 'bool_t' = True, sep: 'str | None' = None, **kwargs) -> 'None' Copy object to the system clipboard. Write a text representation of object to the system clipboard. This can be pasted into Ex...
It’s easy to index and slice NumPy arrays regardless of their dimension,meaning whether they are vectors or matrices. 索引和切片NumPy数组很容易,不管它们的维数如何,也就是说它们是向量还是矩阵。 With one-dimension arrays, we can index a given element by its position, keeping in mind that indice...
Clarification: the resources associated with a process include memory pages (all the threads in a process have the same view of the memory---所有在同一个进程里的线程共享同一块内存空间), file descriptors (e.g., open sockets), and security credentials (e.g., the ID of the user who start...