class Dataset(object): ''' Class Dataset: Input: numpy values Output: torch variables. ''' def __init__(self, x0, x1, label): self.size = label.shape[0] self.x0 = torch.from_numpy(x0) self.x1 = torch.from_numpy(x1) self.label = torch.from_numpy(label) def __getitem__(s...
The cache works as a lookup table, as it stores calculations in a dictionary. You can add it to fibonacci(): Python >>> from decorators import cache, count_calls >>> @cache ... @count_calls ... def fibonacci(num): ... if num < 2: ... return num ... return fibonacci(...
to get fast response from the server use small sizetry:#Create an AF_INET (IPv4), STREAM socket (TCP)tcp_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)exceptsocket.error, e:print'Error occurred while creating socket. Error code: '+str(e[0]) +' , Error...
spaces, and "\"punctuation.")#Definehelper function to display pre-tokenized outputdef print_pretokenized_str(pre_tokens):forpre_token in pre_tokens:print(f'"{pre_token[0]}", ',end='')# Instantiate pre-tokenizerswss = WhitespaceSplit...
classpath. The version string is extracted from the given class's associated JAR artifact (if any), either the embedded Maven POM if the project was built with Maven, or the JAR manifest's Specification-Version value if it exists. See org.scijava.VersionUtils.getVersion(Class) for further ...
分享50个最有价值的图表【python实现代码】。 目录 准备工作分享51个常用图表在Python中的实现,按使用场景分7大类图,目录如下:一、关联(Correlation)关系图 1、散点图(Scatter plot) 2、边界气泡图(Bubble plot with Encircling) 3、散点图添加趋势线(Scatter plot with linear regression line of best fit) 4、...
__qualname__ = f'{typename}.{method.__name__}' # Build-up the class namespace dictionary # and use type() to build the result class class_namespace = { '__doc__': f'{typename}({arg_list})', '__slots__': (), '_fields': field_names, '_field_defaults': field_defaults,...
(Note how we have decoupled configuration from our database initialisation code.) Finally, we initialise anInjectorand use it to instantiate aRequestHandlerinstance. This first transitively constructs asqlite3.Connectionobject, and the Configuration dictionary that it in turn requires, then instantiates ...
Most of the time, you’ll instantiate Context objects by passing in a fully-populated dictionary to Context(). But you can add and delete items from a Context object once it’s been instantiated, too, using standard dictionary syntax: >>> from django.template import Context >>> c = Conte...
2. instantiate class Fdfs_client 3. call memeber functions >>> from fdfs_client.client import * >>> client = Fdfs_client('/etc/fdfs/client.conf') >>> ret = client.upload_by_filename('test') >>> ret {'Group name':'group1','Status':'Upload successed.', 'Remote file_id':'group...