# 需要导入模块: from sfepy.terms import Term [as 别名]# 或者: from sfepy.terms.Term importnew[as 别名]deftest_invariance_qp(self):fromsfepyimportdata_dirfromsfepy.discreteimportIntegralfromsfepy.termsimportTermfromsfepy.discrete.common.mappingsimportget_physical_qps ok =Truefornamein["meshes/3d/bloc...
CommonQueryParserConfiguration qp = getParserConfig(newMockCollationAnalyzer()); Query expected = TermRangeQuery.newStringRange(getDefaultField(),"collatedabc","collateddef",true,true); Query actual = getQuery("[abc TO def]", qp); assertEquals(expected, actual); } 开发者ID:tballison,项目名称...
比如你要通过输入数据预测 n 个值,那么这里就设置为 nself.fc = nn.Linear(hidden_dim, output_dim)# 定义 LSTM 模型的前向传播函数defforward(self, x):# 定义一个隐藏状态张量 h0,形状为 self.num_layers, x.size(0), self.hidden_dim,并且在反向转播时需要计算梯度h0 = torch.zeros(self.num_layers...
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from math import log10 from re import split from jieba.posseg import dt FLAGS = set('a an b f i j l n nr nrfg nrt ns nt nz s t v vi vn z eng'.split()) def cut(text): for sentence in split('[^a-zA-Z0-9\u4e00-\u9fa5]+', text.strip()): ...
Track satellites in your terminal. Contribute to trehn/termtrack development by creating an account on GitHub.
AUTO:3,6 指的是:value:ab 精确匹配 value:abc fuzziness为1 value:abcdef fuzziness为2 0-2个字符 必须精确匹配 3-5个字符 最大1可编辑距离 6-]个字符 最大2可编辑距离 1. 2. 3. 4. 5. 6. max_expansions:默认 50,创建变化的最大值,会按字母顺序搜索产生变化的 term 当搜索没有结果或数量超过...
Along a similar vein, \(\Sigma _{\mathrm{def}}\) is a parameter sensitive to weak lensing which appears when we write the lensing potential \(-\left( \phi +\psi \right) \) in terms of the matter density contrast \(\delta _{m}\), so \(\Sigma _{\mathrm{def}}\) plays a ...
defmain(stdscr):globalscreen text ="This is a test"screen = stdscr.subwin(0,0) screen.box()# Wrap screen window in box# Get window diminsionsy, x = screen.getmaxyx()globalcur_x, cur_y;# Sets the cursor to center the text on screencur_x = (x/2)-(len(text))/2cur_y = (y...
(Jl kbu rmerbeem ytk viome ippasgnm, qrv title lidef bcz nz pxilciet rxre eifld aingpmp rcv.)Listing 9.2 Using a term-level query on a text field GET movies/_search { "query": { "term": { "title": "The Godfather" } } } copy ...