nested

gradle to bundle nested jar dependencies into module output jar

≯℡__Kan透↙ 提交于 2019-12-07 11:43:27
问题 How to make gradle to included some dependencies into module resulted jar as jar? i.e. to make jar with nested jar's e.g. in lib folder ? This is not Android project, and this should be done for many modules in multi-module project, so fatJar, uberJar, shadowJar alike solutions seem not to fit. 回答1: You just need to add an additional from directive to include dependencies in your jar: task jarJar(type: Jar) { baseName = project.name + '-jarjar' from { configurations.compile } with jar } 来源:

Cast Nested List<X> to Nested List<Y>

守給你的承諾、 提交于 2019-12-07 11:38:50
问题 I know its possible to cast a list of items from one type to another but how do you cast a nested list to nested List . Already tried solutions: List<List<String>> new_list = new List<List<string>>(abc.Cast<List<String>>()); and List<List<String>> new_list = abc.Cast<List<String>>().ToList(); Both of which give the following error: Unable to cast object of type 'System.Collections.Generic.List 1[System.Int32]' to type 'System.Collections.Generic.List 1[System.String]'. 回答1: You can use Select

Extracting the keys associated in previous levels nested dictionary

大憨熊 提交于 2019-12-07 11:24:19
问题 I have a large nested dictionary with an unknown depth and i would like to know how i can find the keys which led to the value. For example... {'furniture':{'chair':{'sofa':{'cushion':{}}}}} Ideally what i am looking for is a function to determine the path to the value that i have entered. I have tried researching online and this is what i tried... def route(d,key): if key in d: return d[key] for k,v in d.items(): if isinstance(v,dict): item = route(v, key) if item is not None: return item

python how to search an item in a nested list

冷暖自知 提交于 2019-12-07 09:39:58
问题 say I have this list: li = [["0", "20", "ar"], ["20", "40", "asdasd"], ["50", "199", "bar"], ["24", "69", "sarkozy"]] Now, forget about the numbers, they are something that let me recognize the position of string. So basically, given that I have the string "ar" in hand, how can I extract all the lists that contain "ar"? new_li = [["50", "199", "bar"], ["24", "69", "sarkozy"]] How can I obtain this list? 回答1: >>> [x for x in li if 'ar' in x[2]] [['0', '20', 'ar'], ['50', '199', 'bar'], ['24',

Nested class definition outside outer class's, while outer class contains instance of inner class

天涯浪子 提交于 2019-12-07 09:29:54
问题 C++ How can I put the definition of an inner (nested) class outside its outer (enclosing) class's definition, where the outer class has at least one instance of the inner class as a data member? I searched but the most relevant SO answer I found, Nested Class Definition in source file, does not have an example where the outer class has an inner object as a data member. I followed that answer, as far as declaring but not defining the inner class inside the outer class's definition is concerned

Deepcopy on nested referenced lists created by list multiplication does not work

空扰寡人 提交于 2019-12-07 08:30:35
问题 As much as I love Python, the reference and deepcopy stuff sometimes freaks me out. Why does deepcopy not work here: >>> import copy >>> a = 2*[2*[0]] >>> a [[0, 0], [0, 0]] >>> b = copy.deepcopy(a) >>> b[0][0] = 1 >>> b [[1, 0], [1, 0]] #should be: [[1, 0], [0, 1]] >>> I am using a numpy array as a workarround which I need later on anyway. But I really had hoped that if I used deepcopy I would not have to chase any unintended references any more. Are there any more traps where it does not

How to load a nested csv file in aerospike using aerospike loader?

给你一囗甜甜゛ 提交于 2019-12-07 08:05:45
问题 I have converted JSON file to CSV format and now loading the CSV in Aerospike using aerospike loader. I can do this for simple structure but how to modify the contents of allDatatype.json to load the nested CSV file in Aerospike? https://github.com/aerospike/aerospike-loader/tree/master/example JSON FILE { "centers" : { "ER" : { "admin":{ "users" : { "emp1" : { "password" : "abcdefgh", "username" : "pankaj-roy" }, "emp2" : { "password" : "12345678", "username" : "niketan-shah" } } } } } } CSV

PHP: Modifying array with unknown structure at runtime; what is the most elegant solution?

偶尔善良 提交于 2019-12-07 07:55:30
PROBLEM I have a function that takes in a nested array where the structure and nesting of the array is unknown at run-time. All that is known is some of the target fieldnames and desired values of some of the leafs. QUESTIONS 1) I am hoping to modify this unknown structure and still have the code be readable and easily understood by fellow programmers. What (if any) solution will allow me to do things like this in PHP? // Pseudo-code for things I would like to be able to do // this is kinda like the same thing as XPATH, but for native PHP array // find *every* fname with value of "Brad" and

What is the difference between writing “::namespace::identifier” and “namespace::identifier”?

回眸只為那壹抹淺笑 提交于 2019-12-07 07:54:53
问题 I have seen both approaches in code. Could you explain what's the difference between the two? As I think it relates to the way namespace lookup is done by C++, could you provide some information on this as well, or perhaps a link to a good doc? Thanks. 回答1: It doesn't really matter, at least not most of the time. In the format ::identifier1::identifier2 , the preceding colon says to look at global scope for identifier1 , and then look for identifier2 in that scope. In the format identifier1:

Aggregate Python lists stored as values in a nested dictionary into one list for arbitrary levels [duplicate]

你离开我真会死。 提交于 2019-12-07 07:52:34
This question already has answers here : How to flatten nested python dictionaries? (4 answers) Closed last year . Suppose I have a nested dictionary where, at some level, the terminal values are lists. For example: nested_dict = {1 : {'a' : [1,2,3], 'b' : [4,5]}, 2 : {'a' : [6], 'b' : [7,8,9]}} I want to aggregate the list values into [1,2,3,4,5,6,7,8,9] . For two levels I have values = [] for key1 in nested_dict.keys(): for key2 in nested_dict[key1].keys(): for value in nested_dict[key1][key2]: values.append(value) How can this be made more compact, and such that it handles arbitrary levels?