Signal Coverage 怎么解
Problem Description GSM, Global System for Mobile Communications, is the world's most popular standard for mobile telephone systems. CMCC, China Mobile Communications Corporation, has almost 500,000 GSM base stations, but some cellphone users still complain about the signal coverage problem. Because of building block or some other reasons, we can assume that a base station covers an area of a simple polygon, and they don’t intersect with each other. We have a map that contains some simple polygons which represents the coverage of base stations. For the coverage ratio statistics, we drew a segment on the map, and we consider the C/L be the coverage ratio. C is the length of segment to be covered; L is the length of the segment we drew. Please notice that, if a part of the segment can be considered as covered, that part must be inside or on the boundary of the polygon. Input The first line contains a single integer T, indicating the number of test cases. Each test case begins with two coordinate, indicating the start and the end of the segment we drew. Then followed an integer, N, indicating there are N simple polygons. Each polygon starts with an integer, C, and C coordinates followed. Technical Specification 1. 1 <= T <= 20 2. The number of all the points on the map is less than 100,000. 3. The coordinate of all the points consists of integers, and the value is in the range of [-100000, 100000] Output For each test case, output the case number first, then a coverage ratio with two decimal digits. Sample Input 2 0 0 2 0 1 4 0 0 1 0 1 1 0 1 0 0 2 0 1 4 0 -1 1 -1 1 1 0 1 Sample Output Case 1: 50.00% Case 2: 50.00%
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## 有没有可能是我的配置出了错误。我是按照http://gitignore.io/ ##上面的Django配置的 ``` # Created by https://www.gitignore.io/api/django # Edit at https://www.gitignore.io/?templates=django ### Django ### *.log *.pot *.pyc __pycache__/ local_settings.py db.sqlite3 db.sqlite3-journal media/ static/ # If your build process includes running collectstatic, then you probably don't need or want to include staticfiles/ # in your Git repository. Update and uncomment the following line accordingly. # <django-project-name>/staticfiles/ ### Django.Python Stack ### # Byte-compiled / optimized / DLL files *.py[cod] *\$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover .hypothesis/ .pytest_cache/ # Translations *.mo # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # celery beat schedule file celerybeat-schedule # SageMath parsed files *.sage.py # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # Mr Developer .mr.developer.cfg .project .pydevproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # End of https://www.gitignore.io/api/django ```
Coverage
Description A cell phone user is travelling along a line segment with end points having integer coordinates. In order for the user to have cell phone coverage, it must be within the transmission radius of some transmission tower. As the user travels along the path, cell phone coverage may be gained (or lost) as the user moves inside the radius of some tower (or outside of the radii of all towers). Given the location of up to 100 towers and their transmission radii, you are to compute the percentage of cell phone coverage the user has along the specified path. The (x,y) coordinates are integers between -100 and 100, inclusive, and the tower radii are integers between 1 and 100, inclusive. Input Your program will be given a sequence of configurations, one per line, of the form: N C0X C0Y C1X C1Y T1X T1Y T1R T2X T2Y T2R ... Here, N is the number of towers, (C0X,C0Y) is the start of path of the cell phone user, (C1X,C1Y) is the end of the path, (TkX,TkY) is the position of the kth tower, and TkR is its transmission radius. The start and end points of the paths are distinct. The last problem is terminated by the line 0 Output For each configuration, output one line containing the percentage of coverage the cell phone has, rounded to two decimal places. Sample Input 3 0 0 100 0 0 0 10 5 0 10 15 0 10 1 0 0 100 0 40 10 50 0 Sample Output 25.00 88.99
Description Assume the coasting is an infinite straight line. Land is in one side of coasting, sea in the other. Each small island is a point locating in the sea side. And any radar installation, locating on the coasting, can only cover d distance, so an island in the sea can be covered by a radius installation, if the distance between them is at most d. We use Cartesian coordinate system, defining the coasting is the x-axis. The sea side is above x-axis, and the land side below. Given the position of each island in the sea, and given the distance of the coverage of the radar installation, your task is to write a program to find the minimal number of radar installations to cover all the islands. Note that the position of an island is represented by its x-y coordinates. Figure A Sample Input of Radar Installations Input The input consists of several test cases. The first line of each case contains two integers n (1<=n<=1000) and d, where n is the number of islands in the sea and d is the distance of coverage of the radar installation. This is followed by n lines each containing two integers representing the coordinate of the position of each island. Then a blank line follows to separate the cases. The input is terminated by a line containing pair of zeros Output For each test case output one line consisting of the test case number followed by the minimal number of radar installations needed. "-1" installation means no solution for that case. Sample Input 3 2 1 2 -3 1 2 1 1 2 0 2 0 0 Sample Output Case 1: 2 Case 2: 1
Signal Coverage
Problem Description GSM, Global System for Mobile Communications, is the world's most popular standard for mobile telephone systems. CMCC, China Mobile Communications Corporation, has almost 500,000 GSM base stations, but some cellphone users still complain about the signal coverage problem. Because of building block or some other reasons, we can assume that a base station covers an area of a simple polygon, and they don’t intersect with each other. We have a map that contains some simple polygons which represents the coverage of base stations. For the coverage ratio statistics, we drew a segment on the map, and we consider the C/L be the coverage ratio. C is the length of segment to be covered; L is the length of the segment we drew. Please notice that, if a part of the segment can be considered as covered, that part must be inside or on the boundary of the polygon. Input The first line contains a single integer T, indicating the number of test cases. Each test case begins with two coordinate, indicating the start and the end of the segment we drew. Then followed an integer, N, indicating there are N simple polygons. Each polygon starts with an integer, C, and C coordinates followed. Technical Specification 1. 1 <= T <= 20 2. The number of all the points on the map is less than 100,000. 3. The coordinate of all the points consists of integers, and the value is in the range of [-100000, 100000] Output For each test case, output the case number first, then a coverage ratio with two decimal digits. Sample Input 2 0 0 2 0 1 4 0 0 1 0 1 1 0 1 0 0 2 0 1 4 0 -1 1 -1 1 1 0 1 Sample Output Case 1: 50.00% Case 2: 50.00%
WiFi 这个问题编程的方法
Problem Description One day, the residents of Main Street got together and decided that they would install wireless internet on their street, with coverage for every house. Now they need your help to decide where they should place the wireless access points. They would like to have as strong a signal as possible in every house, but they have only a limited budget for purchasing access points. They would like to place the available access points so that the maximum distance between any house and the access point closest to it is as small as possible. Main Street is a perfectly straight road. The street number of each house is the number of metres from the end of the street to the house. For example, the house at address 123 Main Street is exactly 123 metres from the end of the street. Input The first line of each test chunk contains an integer specifying the number of test cases in this chunk to follow. The first line of each test case contains two positive integers n, the number of access points that the residents can buy, and m, the number of houses on Main Street. The following m lines contain the house numbers of the houses on Main Street, one house number on each line. There will be no more than 100 000 houses on Main Street, and the house numbers will be no larger than one million. Please process to the end of the data file. Output For each test case, output a line containing one number, the maximum distance between any house and the access point nearest to it. Round the number to the nearest tenth of a metre, and output it with exactly one digit after the decimal point. Sample Input 1 2 3 1 3 10 1 2 3 1 3 10 Sample Output 1.0 1.0
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1.在系统运行一段时间好好的，但几个任务同时执行的时候RTOS,抓到的数据都正常执行了，但任务在pxList出指针飞了。 首次用RFOS系统不知道从哪分析数据了？ ![程序异常](https://img-ask.csdn.net/upload/201909/05/1567653300_433008.png) ![被调用的函数](https://img-ask.csdn.net/upload/201909/05/1567653335_811728.png) ``` UBaseType_t uxListRemove( ListItem_t * const pxItemToRemove ) { /* The list item knows which list it is in. Obtain the list from the list item. */ List_t * const pxList = ( List_t * ) pxItemToRemove->pvContainer; pxItemToRemove->pxNext->pxPrevious = pxItemToRemove->pxPrevious; pxItemToRemove->pxPrevious->pxNext = pxItemToRemove->pxNext; /* Only used during decision coverage testing. */ mtCOVERAGE_TEST_DELAY(); /* Make sure the index is left pointing to a valid item. */ if( pxList->pxIndex == pxItemToRemove ) { pxList->pxIndex = pxItemToRemove->pxPrevious; } else { mtCOVERAGE_TEST_MARKER(); } pxItemToRemove->pvContainer = NULL; ( pxList->uxNumberOfItems )--; return pxList->uxNumberOfItems; } ```
Mobile Phone Coverage
A mobile phone company ACMICPC (Advanced Cellular, Mobile, and Internet-Connected Phone Corporation) is planning to set up a collection of antennas for mobile phones in a city called Maxnorm. The company ACMICPC has several collections for locations of antennas as their candidate plans, and now they want to know which collection is the best choice. For this purpose, they want to develop a computer program to find the coverage of a collection of antenna locations. Each antenna Ai has power ri, corresponding to "radius". Usually, the coverage region of the antenna may be modeled as a disk centered at the location of the antenna (xi, yi) with radius ri. However, in this city Maxnorm such a coverage region becomes the square [xi - ri, xi + ri] x [yi - ri, yi + ri]. In other words, the distance between two points (xp, yp) and (xq, yq) is measured by the max norm max{|xp - xq|, |yp - yq|}, or, the L norm, in this city Maxnorm instead of the ordinary Euclidean norm sqrt((xp - xq)^2 + (yp - yq)^2). As an example, consider the following collection of 3 antennas 4.0 4.0 3.0 5.0 6.0 3.0 5.5 4.5 1.0 depicted in the following figure where the i-th row represents xi, yi, ri such that (xi, yi) is the position of the i-th antenna and ri is its power. The area of regions of points covered by at least one antenna is 52.00 in this case. Write a program that finds the area of coverage by a given collection of antenna locations. Input The input contains multiple data sets, each representing a collection of antenna locations. A data set is given in the following format. n x1, y1, r1 x2, y2, r2 �� xn, yn, rn The first integer n is the number of antennas, such that 2 <= n <= 100. The coordinate of the i-th antenna is given by (xi, yi), and its power is ri, xi, yi and ri are fractional numbers between 0 and 200 inclusive. The end of the input is indicated by a data set with 0 as the value of n. Output For each data set, your program should output its sequence number (1 for the first data set, 2 for the second, etc.) and the area of the coverage region. The area should be printed with two digits to the right of the decimal point, after rounding it to two decimal places. The sequence number and the area should be printed on the same line with no spaces at the beginning and end of the line. The two numbers should be separated by a space. Sample Input 3 4.0 4.0 3.0 5.0 6.0 3.0 5.5 4.5 1.0 2 3.0 3.0 3.0 1.5 1.5 1.0 0 Sample Output 1 52.00 2 36.00
Description Assume the coasting is an infinite straight line. Land is in one side of coasting, sea in the other. Each small island is a point locating in the sea side. And any radar installation, locating on the coasting, can only cover d distance, so an island in the sea can be covered by a radius installation, if the distance between them is at most d. We use Cartesian coordinate system, defining the coasting is the x-axis. The sea side is above x-axis, and the land side below. Given the position of each island in the sea, and given the distance of the coverage of the radar installation, your task is to write a program to find the minimal number of radar installations to cover all the islands. Note that the position of an island is represented by its x-y coordinates. Figure A Sample Input of Radar Installations Input The input consists of several test cases. The first line of each case contains two integers n (1<=n<=1000) and d, where n is the number of islands in the sea and d is the distance of coverage of the radar installation. This is followed by n lines each containing two integers representing the coordinate of the position of each island. Then a blank line follows to separate the cases. The input is terminated by a line containing pair of zeros Output For each test case output one line consisting of the test case number followed by the minimal number of radar installations needed. "-1" installation means no solution for that case. Sample Input 3 2 1 2 -3 1 2 1 1 2 0 2 0 0 Sample Output Case 1: 2 Case 2: 1
SonarQube的Generic Coverage如何配置
SonarQube单元测试覆盖率，项目是maven项目，SonarQube安装好了， 就是配不出来单元测试覆盖率，求高手指教

Description Assume the coasting is an infinite straight line. Land is in one side of coasting, sea in the other. Each small island is a point locating in the sea side. And any radar installation, locating on the coasting, can only cover d distance, so an island in the sea can be covered by a radius installation, if the distance between them is at most d. We use Cartesian coordinate system, defining the coasting is the x-axis. The sea side is above x-axis, and the land side below. Given the position of each island in the sea, and given the distance of the coverage of the radar installation, your task is to write a program to find the minimal number of radar installations to cover all the islands. Note that the position of an island is represented by its x-y coordinates. Figure A Sample Input of Radar Installations Input The input consists of several test cases. The first line of each case contains two integers n (1<=n<=1000) and d, where n is the number of islands in the sea and d is the distance of coverage of the radar installation. This is followed by n lines each containing two integers representing the coordinate of the position of each island. Then a blank line follows to separate the cases. The input is terminated by a line containing pair of zeros Output For each test case output one line consisting of the test case number followed by the minimal number of radar installations needed. "-1" installation means no solution for that case. Sample Input 3 2 1 2 -3 1 2 1 1 2 0 2 0 0 Sample Output Case 1: 2 Case 2: 1
Vue2.0使用ElementUI的组件报错

Problem Description N cities of the Java Kingdom need to be covered by radars for being in a state of war. Since the kingdom has M radar stations but only K operators, we can at most operate K radars. All radars have the same circular coverage with a radius of R. Our goal is to minimize R while covering the entire city with no more than K radars. Input The input consists of several test cases. The first line of the input consists of an integer T, indicating the number of test cases. The first line of each test case consists of 3 integers: N, M, K, representing the number of cities, the number of radar stations and the number of operators. Each of the following N lines consists of the coordinate of a city. Each of the last M lines consists of the coordinate of a radar station. All coordinates are separated by one space. Technical Specification 1. 1 ≤ T ≤ 20 2. 1 ≤ N, M ≤ 50 3. 1 ≤ K ≤ M 4. 0 ≤ X, Y ≤ 1000 Output For each test case, output the radius on a single line, rounded to six fractional digits. Sample Input 1 3 3 2 3 4 3 1 5 4 1 1 2 2 3 3 Sample Output 2.236068
Phone Cell，C语言的问题的计算
Problem Description Nowadays, everyone has a cellphone, or even two or three. You probably know where their name comes from. Do you? Cellphones can be moved (they are “mobile”) and they use wireless connection to static stations called BTS (Base Transceiver Station). Each BTS covers an area around it and that area is called a cell. The Czech Technical University runs an experimental private GSM network with a BTS right on top of the building you are in just now. Since the placement of base stations is very important for the network coverage, your task is to create a program that will find the optimal position for a BTS. The program will be given coordinates of “points of interest”.The goal is to find a position that will cover the maximal number of these points. It is supposed that a BTS can cover all points that are no further than some given distance R. Therefore, the cell has a circular shape. The picture above shows eight points of interest (little circles) and one of the possible optimal BTS positions (small triangle). For the given distance R, it is not possible to cover more than four points. Notice that the BTS does not need to be placed in an existing point of interest. Input The input consists of several scenarios. Each scenario begins with a line containing two integer numbers N and R. N is the number of points of interest, 1 ≤ N ≤ 2000. R is the maximal distance the BTS is able to cover, 0 ≤ R < 10 000. Then there are N lines, each containing two integer numbers Xi , Yi giving coordinates of the i-th point, |Xi|,|Yi| < 10 000. All points are distinct, i.e., no two of them will have the same coordinates. The scenario is followed by one empty line and then the next scenario begins. The last one is followed by a line containing two zeros. A point lying at the circle boundary (exactly in the distance R) is considered covered. To avoid floating-point inaccuracies, the input points will be selected in such a way that for any possible subset of points S that can be covered by a circle with the radius R + 0.001, there will always exist a circle with the radius R that also covers them. Output For each scenario, print one line containing the sentence “It is possible to cover M points.”, where M is the maximal number of points of interest that may be covered by a single BTS. Sample Input 8 2 1 2 5 3 5 4 1 4 8 2 4 5 7 5 3 3 2 100 0 100 0 -100 0 0 Sample Output It is possible to cover 4 points. It is possible to cover 2 points.
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