def build_heap(nums): length = len(nums) for i in range((length-1)//2,-1,-1): max_heapify(nums, i, length)

api-ms-win-core-heap-l2-1-0(64-Bit).zip

64位的api-ms-win-core-heap-l2-1-0.dll,解决计算机中丢失api-ms-win-core-heap-l2-1-0.dll的问题。

ion_heap.rar_ION_V2 _heap

ion heap ion heap create for Linux v2.13.6.

class FixedSizeHeap: def init(self, max_size): self.max_size = max_size self.heap = [] def push(self, item): if len(self.heap) < self.max_size: heapq.heappush(self.heap, item) else: min_item = heapq.heappop(self.heap) if item > min_item: heapq.heappush(self.heap, item) else: heapq.heappush(self.heap, min_item) def pop(self): return heapq.heappop(self.heap) def len(self): return len(self.heap)对于这样的类怎么打印类中的元素

print(new_heap) # 输出 [1, 2, 3, 4, 5] 在这个例子中，我们定义了__str__方法来返回堆的元素。我们将self.heap转换为字符串并返回。现在，当我们打印new_heap时，它将打印堆中的元素。

==2872== Process terminating with default action of signal 2 (SIGINT) ==2872== at 0x5550D50: nanosleep (nanosleep.c:28) ==2872== by 0x153E2E: void std::this_thread::sleep_for<long, std::ratio<1l, 1000l> >(std::chrono::duration<long, std::ratio<1l, 1000l> > const&) (in /home/zc/ws/RF_Relay_server/src/RF_Relay) ==2872== by 0x1505B0: main (in /home/zc/ws/RF_Relay_server/src/RF_Relay) ==2872== ==2872== HEAP SUMMARY: ==2872== in use at exit: 188,065 bytes in 997 blocks ==2872== total heap usage: 3,008 allocs, 2,011 frees, 402,131 bytes allocated ==2872== ==2872== LEAK SUMMARY: ==2872== definitely lost: 0 bytes in 0 blocks ==2872== indirectly lost: 0 bytes in 0 blocks ==2872== possibly lost: 2,128 bytes in 7 blocks ==2872== still reachable: 185,937 bytes in 990 blocks ==2872== suppressed: 0 bytes in 0 blocks ==2872== Rerun with --leak-check=full to see details of leaked memory ==2872== ==2872== For counts of detected and suppressed errors, rerun with: -v ==2872== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)

1. Process terminating with default action of signal 2 (SIGINT) 这个部分表示程序因为接收到了SIGINT信号而退出。SIGINT信号通常是由于用户发送了中断信号，比如在终端中按下了Ctrl+C。 2. at 0x5550D50: ...

waypoints = [(5, 15), (5, 1), (9, 3), (11, 17), (7, 19), (15, 19), (13, 1), (15, 5)] end_cor = (1, 20) def distance(_from, _to): x1, y1 = _from x2, y2 = _to distancepath = Astar.find_path(x1, y1, x2, y2) return distancepath n = len(waypoints) adj_matrix = [[0] * n for _ in range(n)] for i in range(n): for j in range(i + 1, n): dist = distance(waypoints[i], waypoints[j]) adj_matrix[i][j] = dist adj_matrix[j][i] = dist start = 0 end = n - 1 distances = [[float('inf')] * (n + 1) for _ in range(n)] visited = set() heap = [(0, 0, start)] while heap: (dist, num_visited, current) = heapq.heappop(heap) if current == end and num_visited == 8: break if (current, num_visited) in visited: continue visited.add((current, num_visited)) for neighbor, weight in enumerate(adj_matrix[current]): if weight > 0: new_num_visited = num_visited if neighbor in range(start + 1, end) and (current not in range(start + 1, end)) and num_visited < 8: new_num_visited += 1 new_distance = dist + weight if new_distance < distances[neighbor][new_num_visited]: distances[neighbor][new_num_visited] = new_distance heapq.heappush(heap, (new_distance, new_num_visited, neighbor)) min_dist = float('inf') min_num_visited = 8 for i in range(8): if distances[end][i] < min_dist: min_dist = distances[end][i] min_num_visited = i每排是什么意思

这段代码实现了一个寻找最短路径的算法，其中： - waypoints 是一个包含多个点坐标的列表，代表路径上的多个路标点。 - end_cor 是路径的终点坐标。 - distance 函数用于计算两个点之间的距离，使用了 Astar 算法...

import Astar import heapq start_cor = (19, 0) waypoints = [(5, 15), (5, 1), (9, 3), (11, 17), (7, 19), (15, 19), (13, 1), (15, 5)] end_cor = (1, 20) def distance(_from, _to): x1, y1 = _from x2, y2 = _to distancepath = Astar.find_path(x1, y1, x2, y2) return distancepath n = len(waypoints) adj_matrix = [[0] * n for _ in range(n)] for i in range(n): for j in range(i + 1, n): dist = distance(waypoints[i], waypoints[j]) adj_matrix[i][j] = dist adj_matrix[j][i] = dist start = 0 end = n - 1 distances = [[float('inf')] * (n + 1) for _ in range(n)] visited = set() heap = [(0, 0, start)] while heap: (dist, num_visited, current) = heapq.heappop(heap) if current == end and num_visited == 8: break if (current, num_visited) in visited: continue visited.add((current, num_visited)) for neighbor, weight in enumerate(adj_matrix[current]): if weight > 0: new_num_visited = num_visited if neighbor in range(start + 1, end) and (current not in range(start + 1, end)) and num_visited < 8: new_num_visited += 1 new_distance = dist + weight if new_distance < distances[neighbor][new_num_visited]: distances[neighbor][new_num_visited] = new_distance heapq.heappush(heap, (new_distance, new_num_visited, neighbor)) min_dist = float('inf') min_num_visited = 8 for i in range(8): if distances[end][i] < min_dist: min_dist = distances[end][i] min_num_visited = i path = [end] current = end num_visited = min_num_visited for i in range(len(waypoints), 0, -1): if current in range(i): num_visited -= 1 for neighbor, weight in enumerate(adj_matrix[current]): if weight > 0 and (neighbor, num_visited) in visited and distances[neighbor][num_visited] + weight == \ distances[current][num_visited]: path.append(neighbor) current = neighbor break path.reverse() print(f"The optimal path from start to end through the 8 waypoints is: {path}") print(f"The total distance is: {distances[end][min_num_visited]}")

这段代码是用来解决一个路径规划问题，目标是找到从起点到终点经过8个给定点的最短路径。其中使用了A*算法来计算两点之间的距离，并利用堆来实现最小优先队列。具体流程是先计算出8个给定点之间的距离，再从起点开始...

/usr/local/jdk/java-1.8.0/bin/java -server -Xms2g -Xmx2g -Xmn1g -XX:MetaspaceSize=128m -XX:MaxMetaspaceSize=320m -XX:-OmitStackTraceInFastThrow -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/usr/local/nacos/logs/java_heapdump.hprof -XX:-UseLargePages -Dnacos.member.list= -Djava.ext.dirs=/usr/local/jdk/java-1.8.0/jre/lib/ext:/usr/local/jdk/java-1.8.0/lib/ext -Xloggc:/usr/local/nacos/logs/nacos_gc.log -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintGCTimeStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=100M -Dloader.path=/usr/local/nacos/plugins/health,/usr/local/nacos/plugins/cmdb -Dnacos.home=/usr/local/nacos -jar /usr/local/nacos/target/nacos-server.jar --spring.config.additional-location=file:/usr/local/nacos/conf/ --logging.config=/usr/local/nacos/conf/nacos-logback.xml --server.max-http-header-size=524288 nacos is starting with cluster nacos is starting，you can check the /usr/local/nacos/logs/start.out

这段命令行输出信息显示nacos正在启动，并提供了日志输出路径。可以查看该日志文件，以了解nacos启动过程中的具体问题。您可以通过以下命令查看nacos启动日志： tail -f /usr/local/nacos/logs/start.out ...

MEMORY { RAM (xrw) : ORIGIN = 0x2000C000, LENGTH = 0x4000 RAM_HS (rw) : ORIGIN = 0x2001C000, LENGTH = 0x34000 /* use for heap and stack */ FLASH (rx) : ORIGIN = 0x20010000, LENGTH = 0xC000 }

这是一个链接脚本文件中的 MEMORY 部分，用于定义程序在内存中的...ORIGIN 表示内存起始地址，LENGTH 表示内存大小。这段代码一般用于嵌入式系统中，用于控制程序的内存布局，以实现最优的程序运行效率和内存利用率。

stack_depot_disable=on kasan.stacktrace=off kvm-arm.mode=protected cgroup_disable=pressure qcom_dma_heaps.enable_bitstream_contig_heap=y kpti=0 ssbd=force-off lpm_levels.sleep_disabled=1 video=vfb:640x400,bpp=32,memsize=3072000 msm_rtb.filter=0x237 service_locator.enable=1 swiotlb=4096 firmware_class.path=/vendor/firmware_mnt/image loop.max_part=7 kvm-arm.mode=nvhe hibernate=nocompress noswap_randomize pcie_ports=compat console=ttyMSM0,115200n8 earlycon=qcom_geni,0xa90000 qcom_geni_serial.con_enabled=1 slub_debug=FZPU bootconfig buildvariant=userdebug rootwait ro init=/init resume=/dev/sda13

- swiotlb=4096：设置 I/O 内存管理器的缓冲区大小。 - firmware_class.path=/vendor/firmware_mnt/image：设置固件文件路径。 - loop.max_part=7：设置循环设备的最大分区数。 - hibernate=nocompress：设置休眠时...

bootargs=root=/dev/mtdblock3 rootfstype=squashfs ro init=/linuxrc LX_MEM=4000000 mma_heap=mma_heap_name0,miu=0,sz=0x2500000 mma_memblock_remove=1 cma=2M mtdparts=nor0:0x4F000(BOOT),0x1000(ENV),0x2C0000(KERNEL),0x2F0000(rootfs),0x3D0000(miservice),0x5D0000(customer)

- mma_heap=mma_heap_name0,miu=0,sz=0x2500000：设置mma_heap参数为mma_heap_name0，miu为0，sz为0x2500000。 - mma_memblock_remove=1：设置mma_memblock_remove参数为1。 - cma=2M：设置cma参数为2M。 - ...

bootargs = "qcom_dma_heaps.enable_bitstream_contig_heap=y kpti=0 ssbd=force-off lpm_levels.sleep_disabled=1 video=vfb:640x400,bpp=32,memsize=3072000 msm_rtb.filter=0x237 service_locator.enable=1 swiotlb=4096 firmware_class.path=/vendor/firmware_mnt/image loop.max_part=7 kvm-arm.mode=nvhe hibernate=nocompress noswap_randomize pcie_ports=compat console=ttyMSM0,115200n8 earlycon=qcom_geni,0xa90000 qcom_geni_serial.con_enabled=1 slub_debug=FZPU bootconfig buildvariant=userdebug rootwait ro init=/init resume=/dev/sda13";

1. qcom_dma_heaps.enable_bitstream_contig_heap=y：启用 bitstream 连续堆，即将 bitstream 分配到物理连续的内存区域，以提高 DMA 性能。 2. kpti=0：禁用内核页表隔离（KPTI），这是一种针对 Meltdown 和 ...

为这段代码添加中文释义import heapq from collections import defaultdict def huffman_encoding(data): # 计算字符频率 freq = defaultdict(int) for char in data: freq[char] += 1 # 将频率转化为堆 heap = [[weight, [char, ""]] for char, weight in freq.items()] heapq.heapify(heap) # 合并堆中的节点，生成霍夫曼编码树 while len(heap) > 1: low = heapq.heappop(heap) high = heapq.heappop(heap) for pair in low[1:]: pair[1] = '0' + pair[1] for pair in high[1:]: pair[1] = '1' + pair[1] heapq.heappush(heap, [low[0] + high[0]] + low[1:] + high[1:]) # 生成霍夫曼编码表 code_table = dict(heapq.heappop(heap)[1:]) # 编码 encoded_data = "" for char in data: encoded_data += code_table[char] return encoded_data, code_table def huffman_decoding(encoded_data, code_table): # 将编码表反转，方便解码 reverse_code_table = {v: k for k, v in code_table.items()} # 解码 decoded_data = "" code = "" for bit in encoded_data: code += bit if code in reverse_code_table: decoded_data += reverse_code_table[code] code = "" return decoded_data data = "hello world" encoded_data, code_table = huffman_encoding(data) print("Encoded data:", encoded_data) print("Code table:", code_table) decoded_data = huffman_decoding(encoded_data, code_table) print("Decoded data:", decoded_data)

while len(heap) > 1: low = heapq.heappop(heap) high = heapq.heappop(heap) for pair in low[1:]: pair[1] = '0' + pair[1] for pair in high[1:]: pair[1] = '1' + pair[1] heapq.heappush(heap, [low[0...

import heapq import copy # 定义状态类 class State: def init(self, board, moves=0, parent=None, last_move=None): self.board = board self.moves = moves self.parent = parent self.last_move = last_move def lt(self, other): return self.moves < other.moves def eq(self, other): return self.board == other.board # 定义转移函数 def move(state, direction): new_board = copy.deepcopy(state.board) for i in range(len(new_board)): if 0 in new_board[i]: j = new_board[i].index(0) break if direction == "up": if i == 0: return None else: new_board[i][j], new_board[i-1][j] = new_board[i-1][j], new_board[i][j] elif direction == "down": if i == len(new_board)-1: return None else: new_board[i][j], new_board[i+1][j] = new_board[i+1][j], new_board[i][j] elif direction == "left": if j == 0: return None else: new_board[i][j], new_board[i][j-1] = new_board[i][j-1], new_board[i][j] elif direction == "right": if j == len(new_board)-1: return None else: new_board[i][j], new_board[i][j+1] = new_board[i][j+1], new_board[i][j] return State(new_board, state.moves+1, state, direction) # 定义A*算法 def astar(start, goal): heap = [] closed = set() heapq.heappush(heap, start) while heap: state = heapq.heappop(heap) if state.board == goal: path = [] while state.parent: path.append(state) state = state.parent path.append(state) return path[::-1] closed.add(state) for direction in ["up", "down", "left", "right"]: child = move(state, direction) if child is None: continue if child in closed: continue if child not in heap: heapq.heappush(heap, child) else: for i, (p, c) in enumerate(heap): if c == child and p.moves > child.moves: heap[i] = (child, child) heapq.heapify(heap) # 测试 start_board = [[1, 2, 3], [4, 5, 6], [7, 8, 0]] goal_board = [[2, 3, 6], [1, 5, 8], [4, 7, 0]] start_state = State(start_board) goal_state = State(goal_board) path = astar(start_state, goal_board) for state in path: print(state.board)

import heapq 是 Python 中用于实现堆数据结构的模块，可以用于排序和优先队列等场景。而 import copy 则是 Python 中用于复制对象的模块，可以使用 deepcopy 和 shallowcopy 等方法来实现深拷贝和浅拷贝。

把这份代码转换成c++代码var n,i,j,p,x,min,tot,t,len:longint; 2 out_,in_,a,heap:array[0..30005] of longint; 3 son,nxt:array[0..1000005] of longint; 4 lnk:array[0..30005] of longint; 5 procedure print_no; 6 begin 7 writeln('no solution'); 8 close(input); close(output); 9 halt; 10 end; 11 procedure put(id:longint); 12 var i:longint; 13 begin 14 inc(len); heap[len]:=id; i:=len; 15 while (i>1) do 16 begin 17 if (heap[i>>1]>heap[i]) then 18 begin 19 heap[0]:=heap[i]; heap[i]:=heap[i>>1]; heap[i>>1]:=heap[0]; 20 i:=i>>1; 21 end 22 else break; 23 end; 24 end; 25 function get:longint; 26 var fa,son:longint; 27 begin 28 get:=heap[1]; heap[1]:=heap[len]; dec(len); fa:=1; 29 while (fa<<1<=len) do 30 begin 31 if (fa<<1+1>len) or (heap[fa<<1]<heap[fa<<1+1]) then son:=fa2 32 else son:=fa2+1; 33 if heap[fa]>heap[son] then 34 begin 35 heap[0]:=heap[fa]; heap[fa]:=heap[son]; heap[son]:=heap[0]; 36 fa:=son; 37 end 38 else break; 39 end; 40 end; 41 procedure add(x,y:longint); 42 begin 43 inc(tot); son[tot]:=y; nxt[tot]:=lnk[x]; lnk[x]:=tot; 44 end; 45 begin 46 readln(n); 47 for i:=1 to n do 48 begin 49 read(out_[i]); 50 for j:=1 to out_[i] do 51 begin 52 read(x); inc(in_[x]); add(i,x); 53 end; 54 end; 55 min:=maxlongint; 56 for i:=1 to n do 57 if (in_[i]=0) then begin min:=0; put(i); end; 58 if min<>0 then print_no; 59 repeat 60 p:=get; inc(t); a[t]:=p; j:=lnk[p]; 61 in_[p]:=-1; 62 while j<>0 do 63 begin 64 dec(in_[son[j]]); 65 if in_[son[j]]=0 then put(son[j]); 66 j:=nxt[j]; 67 end; 68 until len=0; 69 writeln(t); 70 for i:=1 to t do write(a[i],' '); 71 end.

if ((fa << 1) + 1 > len || heap[fa << 1] < heap[(fa << 1) + 1]) { son = fa << 1; } else { son = (fa << 1) + 1; } if (heap[fa] > heap[son]) { swap(heap[fa], heap[son]); fa = son; } else { ...

import heapqdef prim(graph, start): n = len(graph) visited = [False] * n distance = [float('inf')] * n distance[start] = 0 heap = [(0, start)] while heap: _, u = heapq.heappop(heap) if visited[u]: continue visited[u] = True for v, w in graph[u]: if not visited[v] and w < distance[v]: distance[v] = w heapq.heappush(heap, (w, v)) return sum(distance)def min_distance_sum(graph): n = len(graph) min_distance = float('inf') for i in range(n): distance_sum = prim(graph, i) min_distance = min(min_distance, distance_sum) return min_distancegraph = [ [(1, 2), (2, 1)], [(0, 2), (2, 3), (3, 1)], [(0, 1), (1, 3), (3, 1)], [(1, 1), (2, 1)]]print(min_distance_sum(graph)) # 输出：4把这段代码转换成c++

以下是将 Python 代码转换为 C++ 的版本： ... {{1, 2}, {2, 1}}, {{0, 2}, {2, 3}, {3, 1}}, {{0, 1}, {1, 3}, {3, 1}}, {{1, 1}, {2, 1}} }; cout << min_distance_sum(graph) ; // 输出：4 return 0; }

/app/jdk1.8.0_192/bin/java -cp /app/BES-CLUSTER-951/node-172.16.100.235/patch/V9.5.1.2539.002.jar:/app/BES-CLUSTER-951/node-172.16.100.235/patch/V9.5.1.2539.001.jar:/app/BES-CLUSTER-951/node-172.16.100.235/lib/:/app/BES-CLUSTER-951/node-172.16.100.235/lib/3rd/: -Dcom.bes.enterprise.stopAgentTimeout=180 -Dclient.ssl.keyStorePassword={AES}PrzBD+FLE0Wheq7AAaghXw== -Dcom.bes.enterprise.nodeagent.process.timeout=180 -Dclient.ssl.keyStore=${com.bes.installRoot}/conf/security/client.p12 -Dclient.ssl.keyStoreType=PKCS12 -Dcom.bes.enterprise.startAgentTimeout=180 -Dcom.bes.enterprise.async.event.retainResultTimeout=300 -Djava.security.egd=file:/dev/./urandom -XX:+UnlockDiagnosticVMOptions -XX:MetaspaceSize=1028m -XX:NewRatio=2 -XX:HeapDumpPath=/toptdata/besServerLog/node-172.16.100.235/logs/dump/ -XX:LogFile=/toptdata/besServerLog/node-172.16.100.235/logs/jvm.log -XX:+HeapDumpOnOutOfMemoryError -XX:-UseVMInterruptibleIO -XX:MaxMetaspaceSize=2048m -XX:+LogVMOutput -Xmx4096m -Xms2048m -server -Djava.endorsed.dirs=/app/BES-CLUSTER-951/node-172.16.100.235/lib/endorsed -Dcom.bes.javaRoot=/app/jdk1.8.0_192 -Dcom.bes.installRoot=/app/BES-CLUSTER-951/node-172.16.100.235 -Dcom.bes.instanceRoot=/app/BES-CLUSTER-951/node-172.16.100.235 -Djava.awt.headless=true -Djava.ext.dirs=/app/jdk1.8.0_192/lib/ext:/app/jdk1.8.0_192/jre/lib/ext:/app/BES-CLUSTER-951/node-172.16.100.235/lib/ext -Djava.net.preferIPv4Stack=true -Djava.library.path=/app/BES-CLUSTER-951/node-172.16.100.235/lib:/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib com.bes.enterprise.nodeagent.bootstrap.NodeAgentMain start --startinstances=false --restartinstances=true --monitorinterval=5 --syncinstances=true -instancedir /app/BES-CLUSTER-951/node-172.16.100.235 -verbose false -debug false -nodename node-172.16.100.235 -read-stdin true

这是一个 Java 命令，包括了很多参数和选项。它的作用是启动一个名为 NodeAgentMain 的类，并传入一些参数，如 --startinstances=false、--restartinstances=true 等。具体来说，这个命令是在 Linux 系统下运行的，...

1719378276792.jpg

def build_heap(nums): length = len(nums) for i in range((length-1)//2,-1,-1): max_heapify(nums, i, length)

相关推荐

api-ms-win-core-heap-l2-1-0(64-Bit).zip

ion_heap.rar_ION_V2 _heap

MEMORY { RAM (xrw) : ORIGIN = 0x2000C000, LENGTH = 0x4000 RAM_HS (rw) : ORIGIN = 0x2001C000, LENGTH = 0x34000 /* use for heap and stack */ FLASH (rx) : ORIGIN = 0x20010000, LENGTH = 0xC000 }

bootargs=root=/dev/mtdblock3 rootfstype=squashfs ro init=/linuxrc LX_MEM=4000000 mma_heap=mma_heap_name0,miu=0,sz=0x2500000 mma_memblock_remove=1 cma=2M mtdparts=nor0:0x4F000(BOOT),0x1000(ENV),0x2C0000(KERNEL),0x2F0000(rootfs),0x3D0000(miservice),0x5D0000(customer)

1719378276792.jpg

最新推荐

mysql tmp_table_size和max_heap_table_size大小配置

京瓷TASKalfa系列维修手册：安全与操作指南

管理建模和仿真的文件

【进阶】入侵检测系统简介

轨道障碍物智能识别系统开发

小波变换在视频压缩中的应用

"互动学习：行动中的多样性与论文攻读经历"

【进阶】Python高级加密库cryptography

linuxjar包启动脚本

Microsoft OfficeXP详解：WordXP、ExcelXP和PowerPointXP