duplicates

问题 I have a situation where a user is attaching files within an application, these files are then persisted to Azure Blob storage, there is a reasonable likelihood that there are going to be duplicates and I want to put in place a solution where duplicate blobs are avoided. My first thought is to just name the blob as filename_hash but that only captures a subset of duplicates, then filesize_hash was then next thought. In doing this though it seems like I am losing some of the flexibility of the

问题 I have a situation where a user is attaching files within an application, these files are then persisted to Azure Blob storage, there is a reasonable likelihood that there are going to be duplicates and I want to put in place a solution where duplicate blobs are avoided. My first thought is to just name the blob as filename_hash but that only captures a subset of duplicates, then filesize_hash was then next thought. In doing this though it seems like I am losing some of the flexibility of the

问题 I have a situation where a user is attaching files within an application, these files are then persisted to Azure Blob storage, there is a reasonable likelihood that there are going to be duplicates and I want to put in place a solution where duplicate blobs are avoided. My first thought is to just name the blob as filename_hash but that only captures a subset of duplicates, then filesize_hash was then next thought. In doing this though it seems like I am losing some of the flexibility of the

问题 I want to check if a vector of integers has any duplicates or not, and have to return true if it does. So I try to do something like this: vector<int> uGuess = {1,2,3,3,4,5} vector<int> a = uGuess; sort(a.begin(), a.end()); bool d = unique(a.begin(), a.end()); And this will not work since unqiue cannot be assigned as a bool value. How should I proceed towards this? If I were to write a for loop to perform the same action, how should I do that? 回答1: Looking in google for std::unique I found

问题 I want to check if a vector of integers has any duplicates or not, and have to return true if it does. So I try to do something like this: vector<int> uGuess = {1,2,3,3,4,5} vector<int> a = uGuess; sort(a.begin(), a.end()); bool d = unique(a.begin(), a.end()); And this will not work since unqiue cannot be assigned as a bool value. How should I proceed towards this? If I were to write a for loop to perform the same action, how should I do that? 回答1: Looking in google for std::unique I found

问题 I want to check if a vector of integers has any duplicates or not, and have to return true if it does. So I try to do something like this: vector<int> uGuess = {1,2,3,3,4,5} vector<int> a = uGuess; sort(a.begin(), a.end()); bool d = unique(a.begin(), a.end()); And this will not work since unqiue cannot be assigned as a bool value. How should I proceed towards this? If I were to write a for loop to perform the same action, how should I do that? 回答1: Looking in google for std::unique I found

问题 I want to check if a vector of integers has any duplicates or not, and have to return true if it does. So I try to do something like this: vector<int> uGuess = {1,2,3,3,4,5} vector<int> a = uGuess; sort(a.begin(), a.end()); bool d = unique(a.begin(), a.end()); And this will not work since unqiue cannot be assigned as a bool value. How should I proceed towards this? If I were to write a for loop to perform the same action, how should I do that? 回答1: Looking in google for std::unique I found

问题 I have a dataset with potentially duplicate records of the identifier appkey . The duplicated records should ideally not exist and therefore I take them to be data collection mistakes. I need to drop all instances of an appkey which occurs more than once. The drop_duplicates method is not useful in this case (or is it?) as it either selects the first or the last of the duplicates. Is there any obvious idiom to achieve this with pandas? 回答1: As of pandas version 0.12, we have filter for this.

问题 I have a dataset with potentially duplicate records of the identifier appkey . The duplicated records should ideally not exist and therefore I take them to be data collection mistakes. I need to drop all instances of an appkey which occurs more than once. The drop_duplicates method is not useful in this case (or is it?) as it either selects the first or the last of the duplicates. Is there any obvious idiom to achieve this with pandas? 回答1: As of pandas version 0.12, we have filter for this.

问题 I have a dataset with potentially duplicate records of the identifier appkey . The duplicated records should ideally not exist and therefore I take them to be data collection mistakes. I need to drop all instances of an appkey which occurs more than once. The drop_duplicates method is not useful in this case (or is it?) as it either selects the first or the last of the duplicates. Is there any obvious idiom to achieve this with pandas? 回答1: As of pandas version 0.12, we have filter for this.