GO and Java how to handle the concurrent and intersection of the two arrays

2023-01-15   ES  

From mid -2010, the developer uploaded the software to use Application Loader, an application on the Mac machine. Therefore, there must be a Mac operating system to upload the software. If there is no condition, you can consider temporarily borrowing other people’s Mac notebook computers or installing Mac virtual machines on the computer (refer to the Windows environment to install the Mac system tutorial with a virtual machine in the Windows environment).

Tips: If you install the latest version of the Xcode development environment. For the 4.2 and above versions, the DEVELOPER/Applications/Utilities directory already has the ApplicationLoader program, and the following separate installation is not required. For xcode4.3 and later versions, you can find in /applications/xcode.app/contents/application (right -click Xcode select Show Package Contents to enter the directory structure). If you do not install Xcode, the path is on the Developer/Applications/Utilities

At the bottom of the management interface of the Manage your application management interface of iTuneSconnect, you can see the download address of the Application Loader stand -alone version. The latest version is 2.5.1, the download link is https://ituneSconnect.apple.com/apploader/applicationloader_2.5.1.dmg

After downloading, double -click the installation, and perform the applicationloader.pkg in the window interface and install it by default.

Application loader execute the initial interface as shown below.

After logging in, you can see the main interface, select “Deliver Your APP”

can see all the application list waiting for uploading, select the application you need to upload, and select “Next”

See the basic information of the application, and select “Choose …” after making the final confirmation

Select the iPA file after compiling the compilation of the letter boxes

Ready upload, select “Send” in the lower right corner

Start upload. It should be noted that because the Apple server is abroad, the domestic upload often appears to be stuck in “Authenticating with the Itunes Store …”, and can only wait patiently …


, you can see that the software status enters Waiting for Review waiting for the review status. Generally, it will enter the audit status around 15 working days(The specific review time is subject to the official time of Apple), there are generally review results within three working days, whether it is sold on the shelves or rejected.

If you encounter “There is no dwarfdump executable defined.” When uploading, it should be that the Dwarfdump program is missing in the computer. Theoretically installed the complete Xcode can be solved (after the xcode is installed, it can be completed in/deverter/usr/bin/dwarfdump. turn up).

If you do not install Mac, you can download the file: dwarfdump.zip, and decompress the executable file to the/usr/bin directory of the Mac (in Finder-to enter the input path in the folder). Restart the above steps after restarting ApplicationLoader. (Verifying the Mac virtual machine in Lion environment is feasible)


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X-axis length, that is, gray level axis_params = [] axis_params.append (0) axis_params.append (x_size) #plt.figure () if name! = None: PLT.TITLE (name) PLT.BAR (Tuple (Keys), Tuple (Values))#Draw a histogram #PLT.SHOW () #Map the ash array as a histogram dictionary, nums represents the magnitude of the grayness DEF ArrayTohist (Grayarray, Nums): if (len (grayarray.shape)! = 2): Print (“length error”) Return None w, h = Grayarray.shape Hist = {} For K in Range (NUMS): Hist [k] = 0 for I in Range (W): for j in range (h): if (hest.get (grayarray [i] [j]): is none): history [grayarray [i] [j]] = 0 Hist [grayarray [i] [j]] += 1 #normalize n = w*h for key in history.keys (): Hist [key] = float (history [key])/n Return Hist #Accut the cumulative histogram calculating new balanced pictures, nums is grayscale, 256 DEF Equalization (Grayarray, H_S, Nums): #Calculation accumulated histogram TMP = 0.0 h_acc = h_s.copy () for I in Range (256): TMP += H_S [i] h_acc [i] = tmp if (len (grayarray.shape)! = 2): Print (“length error”) Return None w, h = Grayarray.shape des = np.zeros ((w, h), dtype = np.uint8) for I in Range (W): for j in range (h): des [i] [j] = int ((nums – 1)* h_acc [grayarray [i] [j]] +0.5) Return des DEF HISTMATCH (Grayarray, H_D): #Calculation accumulated histogram TMP = 0.0 h_acc = h_d.copy () for I in Range (256): TMP += H_D [i] h_acc [i] = tmp h1 = Arraytohist (Grayarray, 256) TMP = 0.0 h1_acc = h1.copy () for I in Range (256): TMP += H1 [i] h1_acc [i] = tmp #Calculation mapping M = np.zeros (256) for I in Range (256): IDX = 0 minv = 1 for j in h_acc: if (np.fabs (h_acc [j] -h1_acc [i])

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