importnumpyasnpdefcreate_zero_array(n,m):"""创建一个n行m列的全零二维数组"""returnnp.zeros((n,m))# 示例: 创建一个3行4列的全零二维数组zero_array=create_zero_array(3,4)print(zero_array) 1. 2. 3. 4. 5. 6. 7. 8. 9. 在这段代码中,我们定义了一个函数create_zero_array,接收...
pt:'java'}; if(typeof uet =='function') { uet("bb","LoadTitle", {wb:1}); } (function(t){ (t.events = t.events || {})["csm_head_pre_title"] = new Date().getTime(); })(IMDbTimer); Top News - IMDb (function(t){ (t.events = t...
对于每个存在的 GPU 卡,打印设备的型号名称、计算能力和设备上的总内存量(以千字节为单位): forordinal i nrange(drv.Device.count()): dev = drv.Device(ordinal)print("Device #%d: %s"% (ordinal, dev.name())print("Compute Capability: %d.%d"% dev.compute_capability())print("Total Memory: %s...
env_key = "LOG_CFG"): path = default_path value = os.getenv(env_key,None) if value: path = value if os.path.exists(path): with open(path,"r") as f: config = json.load(f) logging.config.dictConfig(config) else: logging.basicConfig(level = default_level)...
在添加边之前,AdjMatrix(C, B)=0,在添加边以后,AdjMatrix(C, B)=1。 4.两个顶点之间删除边 在删除边之前,AdjMatrix(D, D)=1,在删除边以后,AdjMatrix(D, D)=0。 5.遍历 广度优先遍历(BFS) 广度优先遍历也可以说是层次遍历,它是逐层对元素进行访问的。
'__init_subclass__', '__le__', '__lt__', '__module__', '__name__', '__ne__', '__new__', '__qualname__', '__reduce__', '__reduce_ex__', '__repr__', '__self__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__text_signature__...
1、责任链模式 Chain_of_responsibility 责任链(Chain of Responsibility)模式的定义:为了避免请求发送者与多个请求处理者耦合在一起,于是将所有请求的处理者通过前一对象记住其下一个对象的引用而连成一条链;当有请求发生时,可将请求沿着这条链传递,直到有对象处理它为止。 注意:责任链模式也叫职责链模式。
singular version of matrix(also absolute of eigenvalue) # https://sodocumentation.net/numpy/topic/3753/linear-algebra-with-np-linalg x0 + 2 * x1 + x2 = 4 x1 + x2 = 3 x0 + x2 = 5 A = np.array([[1, 2, 1], [0, 1, 1], [1, 0, 1]]) b = np.array([4, 3, 5...
14. Create a random vector of size 30 and find the mean value 15. Create a 2d array with 1 on the border and 0 inside 16. How to add a border (filled with 0's) around an existing array? 17. What is the result of the following expression?
from sqlalchemy import create_engine df = pd.DataFrame(data = np.random.randint(0,50,size = [150,3]),# 计算机科目的考试 成绩 columns=['Python','Tensorflow','Keras']) # 数据库连接 conn = create_engine('mysql+pymysql://root:密码@localhost:端口号/数据库名称') ...