├── iOS └── .DS_Store ├── Images ├── Sort │ ├── heapSort.gif │ ├── bubbleSort.gif │ ├── bucketsort.png │ ├── mergeSort.gif │ ├── quickSort.gif │ ├── radixSort.gif │ ├── shellsort.png │ ├── stability.png │ ├── countingSort.gif │ ├── insertionSort.gif │ ├── selectionSort.gif │ ├── heapsort_image01.png │ ├── heapsort_image02.png │ └── sort_time_space_stability.png ├── StringMatch │ ├── BM.png │ └── KMP.png ├── iOS │ ├── KVC本质 │ │ ├── kvc_image1.png │ │ ├── kvc_image2.png │ │ ├── kvc_image3.png │ │ ├── kvc_image4.png │ │ ├── kvc_image5.png │ │ ├── kvc_image6.png │ │ ├── kvc_image7.png │ │ ├── kvc_image8.png │ │ ├── kvc_image9.png │ │ └── kvc_image10.png │ ├── KVO本质 │ │ ├── kvo_image1.png │ │ └── kvo_image2.png │ ├── weak │ │ ├── weak_image01.png │ │ ├── weak_image02.png │ │ ├── weak_image05.png │ │ └── weak_image06.png │ ├── Block │ │ ├── block_image0101.png │ │ ├── block_image0102.png │ │ ├── block_image0103.png │ │ ├── block_image0104.png │ │ ├── block_image0105.png │ │ ├── block_image0106.png │ │ ├── block_image0107.png │ │ ├── block_image0108.png │ │ ├── block_image0201.png │ │ ├── block_image0202.png │ │ ├── block_image0203.png │ │ ├── block_image0204.png │ │ ├── block_image0205.png │ │ ├── block_image0206.png │ │ ├── block_image0207.png │ │ ├── block_image0208.png │ │ ├── block_image0209.png │ │ ├── block_image0210.png │ │ ├── block_image0211.png │ │ ├── block_image0212.png │ │ ├── block_image0213.png │ │ └── block_image0214.png │ ├── NSStream │ │ └── NSStream_01.png │ ├── OC对象本质 │ │ ├── Object_image1.png │ │ ├── Object_image2.png │ │ ├── Object_image3.png │ │ ├── Object_image4.png │ │ ├── Object_image5.png │ │ ├── Object_image6.png │ │ ├── Object_image7.png │ │ ├── Object_image8.png │ │ ├── Object_image9.png │ │ └── Object_image_add1.png │ ├── AutoLayout │ │ ├── CHCR_image01.png │ │ ├── CHCR_image02.png │ │ ├── CHCR_image03.png │ │ ├── CHCR_image04.png │ │ ├── CHCR_image05.png │ │ ├── CHCR_image06.png │ │ └── CHCR_image07.png │ ├── CocoaPods │ │ ├── spec_image01.png │ │ ├── spec_image02.png │ │ ├── PublicPods_Images01.png │ │ ├── PublicPods_Images02.png │ │ ├── PublicPods_Images03.png │ │ ├── PublicPods_Images04.png │ │ ├── PublicPods_Images05.png │ │ ├── PublicPods_Images06.png │ │ ├── PublicPods_Images07.png │ │ ├── PrivatePods_images01.png │ │ ├── PrivatePods_images02.png │ │ ├── PrivatePods_images03.png │ │ ├── PrivatePods_images04.png │ │ ├── PrivatePods_images05.png │ │ ├── PrivatePods_images06.png │ │ ├── PrivatePods_images07.png │ │ └── PrivatePods_images08.png │ ├── Multithreading │ │ ├── Basic_01.png │ │ ├── Basic_02.png │ │ ├── Basic_03.jpeg │ │ ├── Lock_01.png │ │ ├── Lock_02.png │ │ └── NSOperation_01.png │ ├── RunLoop │ │ ├── RunLoop_image0101.png │ │ ├── RunLoop_image0102.png │ │ └── RunLoop_image0103.png │ ├── runtime │ │ ├── runtime_image0101.png │ │ ├── runtime_image0102.png │ │ ├── runtime_image0103.png │ │ ├── runtime_image0201.png │ │ ├── runtime_image0202.png │ │ ├── runtime_image0203.png │ │ ├── runtime_image0204.png │ │ ├── runtime_image0205.png │ │ ├── runtime_image0206.png │ │ ├── runtime_image0207.png │ │ ├── runtime_image0208.png │ │ ├── runtime_image0209.png │ │ ├── runtime_image0301.png │ │ ├── runtime_image0401.png │ │ ├── runtime_image0402.png │ │ ├── runtime_image0403.png │ │ ├── runtime_image0404.png │ │ ├── runtime_image0405.png │ │ ├── runtime_image0406.png │ │ ├── runtime_image0407.png │ │ ├── runtime_image0408.png │ │ ├── runtime_image0409.png │ │ └── runtime_image0410.png │ ├── UnitTest │ │ ├── UnitTest_image0101.png │ │ ├── UnitTest_image0102.png │ │ ├── UnitTest_image0103.png │ │ ├── UnitTest_image0104.png │ │ ├── UnitTest_image0105.png │ │ ├── UnitTest_image0106.png │ │ └── UnitTest_image0107.png │ ├── TouchesEvents │ │ ├── TouchesEvents_01.png │ │ ├── TouchesEvents_02.png │ │ ├── TouchesEvents_03.png │ │ ├── TouchesEvents_04.png │ │ ├── TouchesEvents_05.png │ │ ├── TouchesEvents_06.png │ │ ├── ResponsePriority_01.png │ │ ├── ResponsePriority_02.png │ │ ├── ResponsePriority_03.png │ │ ├── ResponsePriority_04.png │ │ ├── ResponsePriority_05.png │ │ ├── TouchesEvents_0301.png │ │ ├── TouchesEvents_0302.png │ │ ├── TouchesEvents_0303.png │ │ ├── TouchesEvents_0304.png │ │ └── TouchesEvents_0305.png │ ├── CompileObjc4 │ │ ├── CompileObjc4_image01.png │ │ ├── CompileObjc4_image02.png │ │ ├── CompileObjc4_image03.png │ │ ├── CompileObjc4_image04.png │ │ ├── CompileObjc4_image05.png │ │ ├── CompileObjc4_image06.png │ │ ├── CompileObjc4_image07.png │ │ ├── CompileObjc4_image08.png │ │ ├── CompileObjc4_image09.png │ │ ├── CompileObjc4_image10.png │ │ └── CompileObjc4_image11.png │ ├── DisguisedPtr │ │ └── DisguisedPtr_image01.png │ ├── NSNotification │ │ ├── NSNotification_0101.png │ │ └── NSNotification_0201.png │ ├── NSSecureCoding │ │ ├── NSSecureCoding_01.png │ │ ├── NSSecureCoding_02.png │ │ └── NSSecureCoding_03.png │ ├── TypeEncoding │ │ └── TypeEncoding_images01.png │ ├── Category │ │ ├── AssociationObject_image0101.png │ │ ├── AssociationObject_image0102.png │ │ ├── AssociationObject_image0103.png │ │ ├── AssociationObject_image0301.png │ │ ├── AssociationObject_image0302.png │ │ └── AssociationObject_image0303.png │ ├── Componentization │ │ ├── ModulError_images01.png │ │ ├── ModulError_images02.png │ │ ├── ModulError_images03.png │ │ ├── LoadResources_image01.png │ │ ├── LoadResources_image02.png │ │ ├── LoadResources_image03.png │ │ ├── LoadResources_image04.png │ │ ├── LoadResources_image05.png │ │ ├── LoadResources_image06.png │ │ ├── LoadResources_image07.png │ │ ├── LoadResources_image08.png │ │ ├── LoadResources_image09.png │ │ ├── LoadResources_image10.png │ │ ├── LoadResources_image11.png │ │ ├── UsePrivatePods_images01.png │ │ ├── UsePrivatePods_images02.png │ │ ├── UsePrivatePods_images03.png │ │ ├── UsePrivatePods_images04.png │ │ ├── UsePrivatePods_images05.png │ │ ├── UsePrivatePods_images06.png │ │ ├── UsePrivatePods_images07.png │ │ ├── UsePrivatePods_images08.png │ │ ├── modulizationDetail_images01.png │ │ └── modulizationDetail_images02.png │ ├── MemoryManage │ │ ├── MemoryManage_image0201.png │ │ ├── MemoryManage_image0202.png │ │ ├── MemoryManage_image0203.png │ │ ├── MemoryManage_image0204.png │ │ ├── MemoryManage_image0301.png │ │ ├── MemoryManage_image0302.png │ │ ├── MemoryManage_image0303.png │ │ ├── MemoryManage_image0304.png │ │ ├── MemoryManage_image0305.png │ │ ├── memoryManage_image0101.png │ │ └── memoryManage_image0102.png │ ├── TaggedPointer │ │ ├── TaggedPointer_image0101.png │ │ ├── TaggedPointer_image0102.png │ │ ├── TaggedPointer_image0103.png │ │ └── TaggedPointer_image0104.png │ ├── AutoreleasePool │ │ ├── AutoreleasePool_image0101.png │ │ ├── AutoreleasePool_image0102.png │ │ ├── AutoreleasePool_image0103.png │ │ ├── AutoreleasePool_image0104.png │ │ ├── AutoreleasePool_image0105.png │ │ └── AutoreleasePool_image0106.png │ └── iOSGetArbitraryThreadCallStack │ │ ├── CallStack.xlsx │ │ ├── ThreadCallStack_image0101.png │ │ ├── ThreadCallStack_image0102.png │ │ ├── ThreadCallStack_image0103.png │ │ ├── ThreadCallStack_image0104.png │ │ ├── ThreadCallStack_image0105.png │ │ ├── ThreadCallStack_image0106.png │ │ ├── ThreadCallStack_image0107.png │ │ ├── ThreadCallStack_image0108.png │ │ ├── ThreadCallStack_image0109.png │ │ ├── ThreadCallStack_image0110.png │ │ ├── ThreadCallStack_image0111.png │ │ ├── ThreadCallStack_image0112.png │ │ ├── ThreadCallStack_image0113.png │ │ ├── ThreadCallStack_image0201.png │ │ ├── ThreadCallStack_image0202.png │ │ ├── ThreadCallStack_image0203.png │ │ ├── ThreadCallStack_image0204.png │ │ ├── ThreadCallStack_image0205.png │ │ ├── ThreadCallStack_image0206.png │ │ ├── ThreadCallStack_image0207.png │ │ ├── ThreadCallStack_image0208.png │ │ ├── ThreadCallStack_image0209.png │ │ ├── ThreadCallStack_image0210.png │ │ ├── ThreadCallStack_image0211.png │ │ ├── ThreadCallStack_image0212.png │ │ ├── ThreadCallStack_image0301.png │ │ ├── ThreadCallStack_image0302.png │ │ ├── ThreadCallStack_image0303.png │ │ ├── ThreadCallStack_image0304.png │ │ └── ThreadCallStack_image0305.png ├── Network │ ├── RIP │ │ ├── RIP_image01.png │ │ ├── RIP_image02.png │ │ ├── RIP_image03.png │ │ ├── RIP_image04.png │ │ ├── RIP_image05.png │ │ ├── RIP_image06.png │ │ ├── RIP_image07.png │ │ ├── RIP_image08.png │ │ ├── RIP_image09.png │ │ ├── RIP_image10.png │ │ ├── RIP_image11.png │ │ ├── RIP_image12.png │ │ ├── RIP_image13.png │ │ ├── RIP_image14.png │ │ └── RIP_image15.png │ ├── DNS │ │ ├── DNS_images00.png │ │ ├── DNS_images01.png │ │ ├── DNS_images02.png │ │ ├── DNS_images03.png │ │ ├── DNS_images04.png │ │ ├── DNS_images05.png │ │ ├── DNS_images06.png │ │ └── DNS_images07.png │ ├── OSPF │ │ ├── OSPF_image01.png │ │ ├── OSPF_image02.png │ │ ├── OSPF_image03.png │ │ ├── OSPF_image04.png │ │ ├── OSPF_image05.png │ │ ├── OSPF_image06.png │ │ ├── OSPF_image07.png │ │ └── OSPF_image08.png │ ├── PPP │ │ ├── PPP_images00.png │ │ ├── PPP_images01.png │ │ ├── PPP_images02.png │ │ ├── PPP_images03.png │ │ ├── PPP_images04.png │ │ ├── PPP_images05.png │ │ ├── PPP_images06.png │ │ └── PPP_images07.png │ ├── UDP │ │ ├── UDP_Images01.png │ │ ├── UDP_Images02.png │ │ ├── UDP_Images03.png │ │ └── UDP_Images04.png │ ├── DHCP │ │ ├── DHCP_images01.png │ │ ├── DHCP_images02.png │ │ ├── DHCP_images03.png │ │ ├── DHCP_images04.png │ │ ├── DHCP_images05.png │ │ ├── DHCP_images06.png │ │ ├── DHCP_images07.png │ │ └── DHCP_images08.png │ ├── HTTP │ │ ├── HTTP_images01.png │ │ └── HTTP_images02.png │ ├── ReadMe │ │ ├── ComputerNetwork.png │ │ ├── ReadMe_images01.png │ │ ├── ReadMe_images02.png │ │ └── ReadMe_images03.png │ ├── ICMP&ARP │ │ ├── ICMP&ARP_images00.png │ │ ├── ICMP&ARP_images01.png │ │ ├── ICMP&ARP_images02.png │ │ ├── ICMP&ARP_images03.png │ │ ├── ICMP&ARP_images04.png │ │ ├── ICMP&ARP_images05.png │ │ ├── ICMP&ARP_images06.png │ │ ├── ICMP&ARP_images07.png │ │ ├── ICMP&ARP_images08.png │ │ ├── ICMP&ARP_images09.png │ │ ├── ICMP&ARP_images10.png │ │ ├── ICMP&ARP_images11.png │ │ ├── ICMP&ARP_images12.png │ │ ├── ICMP&ARP_images13.png │ │ └── ICMP&ARP_images14.png │ ├── IPAddress │ │ ├── IPAddress_image01.png │ │ ├── IPAddress_image02.png │ │ ├── IPAddress_image03.png │ │ ├── IPAddress_image04.png │ │ ├── IPAddress_image05.png │ │ ├── IPAddress_image06.png │ │ ├── IPAddress_image07.png │ │ ├── IPAddress_image08.png │ │ └── IPAddress_image09.png │ ├── TCPHeader │ │ ├── TCPHeader_images01.png │ │ ├── TCPHeader_images02.png │ │ ├── TCPHeader_images03.png │ │ ├── TCPHeader_images04.png │ │ ├── TCPHeader_images05.png │ │ └── TCPHeader_images06.png │ ├── subnet&supernet │ │ ├── subnet_image01.png │ │ ├── subnet_image02.png │ │ ├── subnet_image03.png │ │ ├── subnet_image04.png │ │ ├── subnet_image05.png │ │ ├── subnet_image06.png │ │ ├── subnet_image07.png │ │ ├── subnet_image08.png │ │ ├── subnet_image09.png │ │ ├── subnet_image10.png │ │ ├── subnet_image11.png │ │ ├── subnet_image12.png │ │ └── subnet_image13.png │ ├── FlowControl │ │ └── FlowControl_images01.png │ ├── TCPOverview │ │ ├── TCPOverview_images01.png │ │ └── TCPOverview_images02.png │ ├── StaticRouter │ │ ├── staticRouter_image01.png │ │ ├── staticRouter_image02.png │ │ ├── staticRouter_image03.png │ │ ├── staticRouter_image04.png │ │ ├── staticRouter_image05.png │ │ ├── staticRouter_image06.png │ │ ├── staticRouter_image07.png │ │ ├── staticRouter_image08.png │ │ ├── staticRouter_image09.png │ │ ├── staticRouter_image10.png │ │ ├── staticRouter_image11.png │ │ ├── staticRouter_image12.png │ │ ├── staticRouter_image13.png │ │ ├── staticRouter_image14.png │ │ ├── staticRouter_image15.png │ │ ├── staticRouter_image16.png │ │ ├── staticRouter_image17.png │ │ ├── staticRouter_image18.png │ │ ├── staticRouter_image19.png │ │ ├── staticRouter_image20.png │ │ ├── staticRouter_image21.png │ │ └── staticRouter_image22.png │ ├── TCPHandshake │ │ ├── TCPHandshake_images01.png │ │ ├── TCPHandshake_images02.png │ │ ├── TCPHandshake_images03.png │ │ ├── TCPHandshake_images04.png │ │ ├── TCPHandshake_images05.png │ │ ├── TCPHandshake_images06.png │ │ ├── TCPHandshake_images07.png │ │ ├── TCPHandshake_images08.png │ │ ├── TCPHandshake_images09.png │ │ ├── TCPHandshake_images10.png │ │ ├── TCPHandshake_images11.png │ │ ├── TCPHandshake_images12.png │ │ └── TCPHandshake_images13.png │ ├── CongestionControl │ │ ├── CongestionControl_Images01.png │ │ ├── CongestionControl_Images02.png │ │ ├── CongestionControl_Images03.png │ │ ├── CongestionControl_Images04.png │ │ ├── CongestionControl_Images05.png │ │ └── CongestionControl_Images06.png │ ├── NetworkLayerHeader │ │ ├── NetworkLayerHeader_image01.png │ │ ├── NetworkLayerHeader_image02.png │ │ ├── NetworkLayerHeader_image03.png │ │ ├── NetworkLayerHeader_image04.png │ │ ├── NetworkLayerHeader_image05.png │ │ ├── NetworkLayerHeader_image06.png │ │ ├── NetworkLayerHeader_image07.png │ │ ├── NetworkLayerHeader_image08.png │ │ ├── NetworkLayerHeader_image09.png │ │ ├── NetworkLayerHeader_image10.png │ │ ├── NetworkLayerHeader_image11.png │ │ ├── NetworkLayerHeader_image12.png │ │ ├── NetworkLayerHeader_image13.png │ │ ├── NetworkLayerHeader_image14.png │ │ └── NetworkLayerHeader_image15.png │ ├── ReliableTransmission │ │ ├── ReliableTransmission_images01.png │ │ ├── ReliableTransmission_images02.png │ │ ├── ReliableTransmission_images03.png │ │ ├── ReliableTransmission_images04.png │ │ ├── ReliableTransmission_images05.png │ │ ├── ReliableTransmission_images06.png │ │ ├── ReliableTransmission_images07.png │ │ ├── ReliableTransmission_images08.png │ │ ├── ReliableTransmission_images09.png │ │ ├── ReliableTransmission_images10.png │ │ └── ReliableTransmission_images11.png │ └── DataLinkLayerOverview │ │ ├── DataLinkLayerOverview_images00.png │ │ ├── DataLinkLayerOverview_images01.png │ │ ├── DataLinkLayerOverview_images02.png │ │ ├── DataLinkLayerOverview_images03.png │ │ ├── DataLinkLayerOverview_images04.png │ │ ├── DataLinkLayerOverview_images05.png │ │ └── DataLinkLayerOverview_images06.png ├── Swift │ ├── enum │ │ ├── enum_images01.png │ │ ├── enum_images02.png │ │ ├── enum_images03.png │ │ ├── enum_images04.png │ │ ├── enum_images05.png │ │ ├── enum_images06.png │ │ ├── enum_images07.png │ │ ├── enum_images08.png │ │ ├── enum_images09.png │ │ ├── enum_images10.png │ │ └── enum_images11.png │ ├── String │ │ ├── string_image01.png │ │ ├── string_image02.png │ │ ├── string_image03.png │ │ ├── string_image04.png │ │ ├── string_image05.png │ │ ├── string_image06.png │ │ ├── string_image07.png │ │ ├── string_image08.png │ │ └── string_image09.png │ ├── Closure │ │ ├── Closure_images01.png │ │ ├── Closure_images02.png │ │ ├── Closure_images03.png │ │ ├── Closure_images04.png │ │ ├── Closure_images05.png │ │ ├── Closure_images06.png │ │ ├── Closure_images07.png │ │ ├── Closure_images08.png │ │ ├── Closure_images09.png │ │ └── Closure_images10.png │ ├── Pointer │ │ ├── pointer_image01.png │ │ ├── pointer_image02.png │ │ ├── pointer_image03.png │ │ └── pointer_image04.png │ ├── Currying │ │ ├── Currying_images01.png │ │ ├── Currying_images02.png │ │ ├── Currying_images03.png │ │ ├── Currying_images04.png │ │ └── Currying_images05.png │ ├── metadata │ │ └── metadata_images01.png │ ├── property │ │ ├── property_images01.png │ │ ├── property_images02.png │ │ ├── property_images03.png │ │ └── property_images04.png │ ├── subscript │ │ ├── subscript_images01.png │ │ ├── subscript_images02.png │ │ └── subscript_images03.png │ ├── OpaqueType │ │ └── OpaqueType_images01.png │ ├── UIStackView │ │ ├── UIStackView_image01.png │ │ ├── UIStackView_image02.png │ │ ├── UIStackView_image03.png │ │ ├── UIStackView_image04.png │ │ ├── UIStackView_image05.png │ │ ├── UIStackView_image06.png │ │ ├── UIStackView_image07.png │ │ ├── UIStackView_image08.png │ │ ├── UIStackView_image09.png │ │ ├── UIStackView_image10.png │ │ ├── UIStackView_image11.png │ │ ├── UIStackView_image12.png │ │ ├── UIStackView_image13.png │ │ ├── UIStackView_image14.png │ │ ├── UIStackView_image15.png │ │ ├── UIStackView_image16.png │ │ ├── UIStackView_image17.png │ │ └── UIStackView_image18.png │ ├── errorHanding │ │ ├── errorHanding_images01.png │ │ └── errorHanding_images02.png │ ├── struct&class │ │ ├── struct&class_images01.png │ │ ├── struct&class_images02.png │ │ ├── struct&class_images03.png │ │ ├── struct&class_images04.png │ │ ├── struct&class_images05.png │ │ ├── struct&class_images06.png │ │ └── struct&class_images07.png │ ├── DispatchMethod │ │ ├── DispatchMethod_image01.png │ │ └── DispatchMethod_image02.png │ ├── Initialization │ │ ├── Initialization_image00.png │ │ ├── Initialization_image01.png │ │ ├── Initialization_image02.png │ │ ├── Initialization_image03.png │ │ ├── Initialization_image04.png │ │ ├── Initialization_image05.png │ │ ├── Initialization_image06.png │ │ ├── Initialization_image07.png │ │ ├── Initialization_image08.png │ │ └── Initialization_image09.png │ └── AdvancedOperators │ │ ├── AdvancedOperators_images01.png │ │ └── AdvancedOperators_images02.png ├── iOSReverse │ ├── scp │ │ ├── scp_image1.png │ │ └── scp_image2.png │ ├── lldb │ │ └── lldb_image1.png │ ├── 脱壳 │ │ ├── tuoqiao_image1.png │ │ ├── tuoqiao_image2.png │ │ ├── tuoqiao_image3.png │ │ ├── tuoqiao_image4.png │ │ ├── tuoqiao_image5.png │ │ └── tuoqiao_image6.png │ ├── Theos │ │ ├── theos_image1.png │ │ └── theos_image2.png │ ├── Hikari │ │ ├── Hikari_image1.png │ │ └── Hikari_image2.png │ ├── OpenSSH │ │ ├── openssh_image1.png │ │ ├── openssh_image2.png │ │ ├── openssh_image3.png │ │ ├── openssh_image4.png │ │ ├── openssh_image5.png │ │ ├── openssh_image6.png │ │ ├── openssh_image7.png │ │ ├── openssh_image8.png │ │ ├── openssh_image9.png │ │ ├── openssh_image10.png │ │ ├── openssh_image11.png │ │ ├── openssh_image12.png │ │ └── openssh_image13.png │ ├── Mach-O │ │ ├── mach-o_images0101.png │ │ └── mach-o_images0102.png │ ├── iOS签名机制之机制简介 │ │ ├── sign_image1.png │ │ ├── sign_image2.png │ │ ├── sign_image3.png │ │ ├── sign_image4.png │ │ └── sign_image5.png │ ├── Hook可变参数 │ │ └── hookArgs_image01.png │ ├── iOS命令行工具 │ │ ├── CommandLine_image1.png │ │ ├── CommandLine_image2.png │ │ ├── CommandLine_image3.png │ │ ├── CommandLine_image4.png │ │ └── CommandLine_image5.png │ ├── iOS签名机制之重签名 │ │ ├── resign_image1.png │ │ ├── resign_image2.png │ │ ├── resign_image3.png │ │ ├── resign_image4.png │ │ ├── resign_image5.png │ │ ├── resign_image6.png │ │ └── resign_image7.png │ ├── debugserver │ │ ├── debugserver_image1.png │ │ └── debugserver_image2.png │ ├── dsc_extractor │ │ ├── dsc_extractor_image1.png │ │ ├── dsc_extractor_image2.png │ │ ├── dsc_extractor_image3.png │ │ └── dsc_extractor_image4.png │ ├── iOS签名机制之数字签名与证书 │ │ ├── certificate_image1.png │ │ ├── certificate_image2.png │ │ ├── certificate_image3.png │ │ ├── certificate_image4.png │ │ ├── certificate_image5.png │ │ └── certificate_image6.png │ └── iOS签名机制之非对称加密 │ │ ├── AsymmetricEncryption_image1.png │ │ ├── AsymmetricEncryption_image2.png │ │ ├── AsymmetricEncryption_image3.png │ │ ├── AsymmetricEncryption_image4.png │ │ ├── AsymmetricEncryption_image5.png │ │ ├── AsymmetricEncryption_image6.png │ │ └── AsymmetricEncryption_image7.png ├── Aligorithm │ └── TopK │ │ └── quick_sort.png ├── Other │ ├── SufficientCondition-images01.png │ └── SufficientCondition-images02.png ├── SourceCodeAnalysis │ ├── Mems │ │ ├── Mems_image01.png │ │ ├── Mems_image02.png │ │ └── Mems_image03.png │ └── Aspects │ │ ├── Aspects_image01.png │ │ ├── Aspects_image02.png │ │ ├── Aspects_image03.png │ │ ├── Aspects_image04.png │ │ ├── Aspects_image05.png │ │ ├── Aspects_image06.png │ │ ├── Aspects_image07.png │ │ ├── Aspects_image08.png │ │ ├── Aspects_image09.png │ │ ├── Aspects_image10.png │ │ └── Aspects_image11.png ├── Tools │ ├── Git │ │ └── GreenDot │ │ │ ├── GreenDot_images01.png │ │ │ ├── GreenDot_images02.png │ │ │ ├── GreenDot_images03.png │ │ │ ├── GreenDot_images04.png │ │ │ └── GreenDot_images05.png │ ├── GNS3 │ │ └── install │ │ │ ├── GNS3_install_image01.png │ │ │ ├── GNS3_install_image02.png │ │ │ ├── GNS3_install_image03.png │ │ │ ├── GNS3_install_image04.png │ │ │ ├── GNS3_install_image05.png │ │ │ ├── GNS3_install_image06.png │ │ │ ├── GNS3_install_image07.png │ │ │ ├── GNS3_install_image08.png │ │ │ ├── GNS3_install_image09.png │ │ │ ├── GNS3_install_image10.png │ │ │ └── GNS3_install_image11.png │ └── sublime │ │ ├── sublime_formatter_json_01.png │ │ ├── sublime_formatter_json_02.png │ │ ├── sublime_formatter_json_03.png │ │ ├── sublime_formatter_json_04.png │ │ ├── sublime_formatter_json_05.png │ │ ├── sublime_formatter_json_06.png │ │ └── sublime_formatter_json_07.png ├── Interview │ └── 招聘一个靠谱的iOS │ │ ├── HireAReliableiOS_image01.png │ │ ├── HireAReliableiOS_image02.png │ │ ├── HireAReliableiOS_image03.png │ │ ├── HireAReliableiOS_image04.png │ │ ├── HireAReliableiOS_image05.png │ │ └── HireAReliableiOS_image06.png └── Flutter │ └── Flutter在Mac环境下的安装 │ ├── InstallOnMac_images0101.png │ ├── InstallOnMac_images0102.png │ ├── InstallOnMac_images0103.png │ ├── InstallOnMac_images0104.png │ ├── InstallOnMac_images0105.png │ ├── InstallOnMac_images0106.png │ ├── InstallOnMac_images0107.png │ ├── InstallOnMac_images0108.png │ ├── InstallOnMac_images0109.png │ ├── InstallOnMac_images0110.png │ ├── InstallOnMac_images0111.png │ ├── InstallOnMac_images0112.png │ └── InstallOnMac_images0113.png ├── iOSReverse ├── Cydia源.md └── class-dump.md ├── Books ├── 剑指Offer │ ├── 006-从尾到头打印链表.md │ ├── 062-圆圈中最后剩下的数字.md │ ├── 005-替换空格.md │ ├── 011-旋转数组的最小数字.md │ ├── 022-链表中倒数第k个节点.md │ ├── 014-剪绳子I.md │ ├── 066-构建乘积数组.md │ ├── 144-珠宝的最大价值.md │ ├── 065.-不用加减乘除做加法.md │ └── 004-二维数组中的查找.md └── 程序员面试金典 │ └── 17.14-最小K个数.md ├── README.md ├── LeetCode ├── 0326-PowerofThree.md ├── 0541-ReverseStringII.md ├── 0058-LengthofLastWord.md ├── 0389-FindtheDifference.md ├── 0001-TwoSum.md ├── 0976-LargestPerimeterTriangle.md ├── 0557-ReverseWordsInAStringIII.md ├── 0118-PascalsTriangle.md ├── 0342-PowerofFour.md ├── 0242-ValidAnagram.md ├── 0700-SearchInABinarySearchTree.md ├── 0263-UglyNumber.md ├── 0234-PalindromeLinkedList.md ├── 0459-RepeatedSubstringPattern.md ├── 0022-GenerateParentheses.md ├── 0219-ContainsDuplicateII.md ├── 0003-LongestSubstringWithoutRepeatingCharacters.md ├── 0053-MaximumSubarray.md ├── 0125-ValidPalindrome.md ├── 0231-PowerOfTwo.md ├── 0019-RemoveNthNodeFromEndOfList.md ├── 0453-MinimumMovesToEqualArrayElements.md ├── 0345-ReverseVowelsOfAString.md ├── 0383-RansomNote.md ├── 0441-ArrangingCoins.md ├── 0349-IntersectionOfTwoArrays.md ├── 0190-ReverseBits.md ├── 0217-ContainsDuplicate.md ├── 0942-DIStringMatch.md └── 0371-SumOfTwoIntegers.md ├── DataStructures&Aligorithm └── DataStructures │ └── C │ └── ZZString │ ├── ReadMe.md │ └── ZZString.h ├── Sort └── ReadMe.md └── Netwotk └── 传输层-TCP流量控制.md /iOS/.DS_Store: -------------------------------------------------------------------------------- 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``` 13 | 14 |
15 | 16 | 17 | ## 解法 18 | 19 | ### Python 20 | 21 | ``` 22 | def reversePrint(self, head: ListNode) -> list: 23 | ans = list() 24 | while head: 25 | ans.insert(0, head.val) 26 | head = head.next 27 | return ans 28 | ``` -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | # 笔记 3 | 4 |
5 | 6 | - [iOS](https://github.com/zhaoName/Notes/tree/master/iOS) 7 | 8 | - [Swift](https://github.com/zhaoName/Notes/tree/master/Swift) 9 | 10 | - [iOSReverse](https://github.com/zhaoName/Notes/tree/master/iOSReverse) 11 | 12 | - [Netwotk](https://github.com/zhaoName/Notes/tree/master/Netwotk) 13 | 14 | - [LeetCode](https://github.com/zhaoName/Notes/tree/master/LeetCode) 15 | 16 | 17 | 18 | 19 | 20 | -------------------------------------------------------------------------------- /Books/剑指Offer/062-圆圈中最后剩下的数字.md: -------------------------------------------------------------------------------- 1 | # 62. 圆圈中最后剩下的数字 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | 0,1,,n-1这n个数字排成一个圆圈，从数字0开始，每次从这个圆圈里删除第m个数字。求出这个圆圈里剩下的最后一个数字。 8 | 例如，0、1、2、3、4这5个数字组成一个圆圈，从数字0开始每次删除第3个数字，则删除的前4个数字依次是2、0、4、1，因此最后剩下的数字是3。 9 | 10 | 输入: n = 10, m = 17 11 | 输出: 2 12 | ``` 13 | 14 |
15 | 16 | ## 解法 17 | 18 | ### Python 19 | 20 | ``` 21 | def lastRemaining(self, n: int, m: int) -> int: 22 | ## 最终活下来的小标肯定为0 23 | pos = 0 24 | for i in range(2, n+1): 25 | pos = (pos + m) % i 26 | return pos 27 | ``` -------------------------------------------------------------------------------- /LeetCode/0326-PowerofThree.md: -------------------------------------------------------------------------------- 1 | 2 | # 326. Power of Three 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | Given an integer, write a function to determine if it is a power of three. 9 | 10 | Example: 11 | Input: 27 12 | Output: true 13 | 14 | Follow up: 15 | Could you do it without using any loop / recursion? 16 | ``` 17 | 18 | 19 |
20 | 21 | ## 解法 22 | 23 | 24 | ### Python 25 | 26 | ``` 27 | ## 32为有符号整数 3 的幂次方最大整数位 3^19 = 1162261467 28 | def isPowerOfThree(self, n: int) -> bool: 29 | return n > 0 and 1162261467 % n == 0 30 | ``` -------------------------------------------------------------------------------- /Books/剑指Offer/005-替换空格.md: -------------------------------------------------------------------------------- 1 | # 05. 替换空格 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | 请实现一个函数，把字符串 s 中的每个空格替换成"%20"。 8 | 9 | 输入：s = "We are happy." 10 | 输出："We%20are%20happy." 11 | 12 | 限制： 13 | 0 <= s 的长度 <= 10000 14 | ``` 15 | 16 |
17 | 18 | ## 解法 19 | 20 | ### Python 21 | 22 | ``` 23 | def replaceSpace(self, s: str) -> str: 24 | if not s: 25 | return "" 26 | ans = list() 27 | for a in s: 28 | if a == ' ': 29 | ans.append("%20") 30 | else: 31 | ans.append(a) 32 | return ''.join(ans) 33 | ``` -------------------------------------------------------------------------------- /DataStructures&Aligorithm/DataStructures/C/ZZString/ReadMe.md: -------------------------------------------------------------------------------- 1 | 2 | # 字符串匹配算法 3 | 4 | 5 | ### BM 算法 6 | 7 | ![](../../Images/StringMatch/BM.png) 8 | 9 | 10 |
11 | 12 | 13 | 14 | ### KMP 算法 15 | 16 | ![](../../Images/StringMatch/KMP.png) 17 | 18 | 19 | 20 |
21 | 22 | 23 | **参考：** 24 | 25 | [Boyer-Moore](http://www.cs.jhu.edu/~langmea/resources/lecture_notes/boyer_moore.pdf) 26 | 27 | [如何更好的理解和掌握 KMP 算法?](https://www.zhihu.com/question/21923021) 28 | 29 | [KMP Algorithm for Pattern Searching](https://www.geeksforgeeks.org/kmp-algorithm-for-pattern-searching/) -------------------------------------------------------------------------------- /LeetCode/0541-ReverseStringII.md: -------------------------------------------------------------------------------- 1 | 2 | # 541. Reverse String II 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | Write a function that reverses a string. The input string is given as an array of characters char[]. 9 | 10 | Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory. 11 | 12 | You may assume all the characters consist of printable ascii characters. 13 | 14 | Example 1: 15 | Input: ["h","e","l","l","o"] 16 | Output: ["o","l","l","e","h"] 17 | ``` 18 | 19 |
20 | 21 | ## 解法 22 | 23 | ### Python 24 | 25 | - 第一思路 26 | -------------------------------------------------------------------------------- /LeetCode/0058-LengthofLastWord.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # 58. Length of Last Word 4 | 5 | 6 | ## C 7 | 8 | ### 第一思路 9 | 10 | ``` 11 | int lengthOfLastWord(char * s) 12 | { 13 | int length = (int)strlen(s); 14 | if (length == 0) return 0; 15 | 16 | int num = 0; 17 | while (s[length-1] == ' ') { 18 | length--; 19 | // 可能 s 只包含' ' 20 | if (length == 0) return 0; 21 | } 22 | for (int i=length-1; i>=0; i--) { 23 | if (s[i] != ' ') { 24 | num++; 25 | } 26 | else { 27 | break; 28 | } 29 | } 30 | return num; 31 | } 32 | ``` -------------------------------------------------------------------------------- /Books/剑指Offer/011-旋转数组的最小数字.md: -------------------------------------------------------------------------------- 1 | # 11. 旋转数组的最小数字 2 | 3 | ## 题目 4 | 5 | ``` 6 | 把一个数组最开始的若干个元素搬到数组的末尾，我们称之为数组的旋转。输入一个递增排序的数组的一个旋转，输出旋转数组的最小元素。 7 | 例如，数组 [3,4,5,1,2] 为 [1,2,3,4,5] 的一个旋转，该数组的最小值为1。   8 | 9 | 输入：[3,4,5,1,2] 10 | 输出：1 11 | 12 | 输入：[2,2,2,0,1] 13 | 输出：0 14 | ``` 15 | 16 |
17 | 18 | ## 解法 19 | 20 | ### Python3 21 | 22 | ``` 23 | def minArray(self, numbers: list) -> int: 24 | if not numbers: return 0 25 | mi = sys.maxsize 26 | for i in range(len(numbers)-1, 0, -1): 27 | if numbers[i] <= mi: 28 | mi = numbers[i] 29 | else: 30 | break 31 | return mi if numbers[0] > mi else numbers[0] 32 | ``` -------------------------------------------------------------------------------- /iOSReverse/class-dump.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # class-dump 4 | 5 | `class-dump`的作用就是把`Mach-O`文件的class信息给dump出来（把类信息给导出来），生成对应的.h头文件 6 | 7 | - 官网：`http://stevenygard.com/projects/class-dump/` 8 | - 源码：`https://github.com/nygard/class-dump` 9 | 10 | #### 0x01 安装 11 | 12 | - class-dump的下载地址：`http://stevenygard.com/download/class-dump-3.5.tar.gz` 13 | 14 | - 点击下载后解压后会有`class-dump`和源码文件。将`class-dump` 复制到`/usr/bin/class-dump`。如果是OS X 10.11以后的mac版本，因为没有`/usr/bin`文件夹的写权限，所以将`class-dump`复制到`/usr/local/bin/class-dump`,这样也能在终端的任一位置使用`class-dump`命令。 15 | 16 | #### 0x02 使用 17 | 18 | $ class-dump -H 需要导出的框架路径 -o 导出的头文件存放路径 19 | 20 | 写于2018-12-16 21 | -------------------------------------------------------------------------------- /DataStructures&Aligorithm/DataStructures/C/ZZString/ZZString.h: -------------------------------------------------------------------------------- 1 | // 2 | // ZZString.h 3 | // ZZDataStructures 4 | // 5 | // Created by zhaoName on 2019/12/10. 6 | // Copyright © 2019 XMB. All rights reserved. 7 | // 8 | 9 | #ifndef ZZString_h 10 | #define ZZString_h 11 | 12 | 13 | /** 14 | * BF 算法(Brute Force):中文叫作暴力匹配算法，也叫朴素匹配算法 15 | * 16 | * 最坏：O((n-m+1)*m) => O(n*m) 最好：O(m) 17 | */ 18 | int zz_bf(char *mainStr, char *subStr); 19 | int zz_bf_1(char *mainStr, char *subStr); 20 | 21 | 22 | int zz_BM(char *mainStr, char *patternStr); 23 | 24 | 25 | int zz_KMP(char *mainStr, char *patternStr); 26 | 27 | #endif /* ZZString_h */ 28 | -------------------------------------------------------------------------------- /Books/剑指Offer/022-链表中倒数第k个节点.md: -------------------------------------------------------------------------------- 1 | 2 | # 22. 链表中倒数第k个节点 3 | 4 | ## 题目 5 | 6 | ``` 7 | 输入一个链表，输出该链表中倒数第k个节点。为了符合大多数人的习惯，本题从1开始计数，即链表的尾节点是倒数第1个节点。 8 | 例如，一个链表有 6 个节点，从头节点开始，它们的值依次是 1、2、3、4、5、6。这个链表的倒数第 3 个节点是值为 4 的节点。 9 | 10 | 示例： 11 | 给定一个链表: 1->2->3->4->5, 和 k = 2. 12 | 返回链表 4->5. 13 | ``` 14 | 15 |
16 | 17 | ## 解法 18 | 19 | ```python 20 | class Solution: 21 | def getKthFromEnd(self, head: ListNode, k: int) -> ListNode: 22 | slow, fast = head, head 23 | for i in range(k): 24 | fast = fast.next 25 | while fast: 26 | fast = fast.next 27 | slow = slow.next 28 | return slow 29 | ``` -------------------------------------------------------------------------------- /Books/剑指Offer/014-剪绳子I.md: -------------------------------------------------------------------------------- 1 | # 14-剪绳子I 2 | 3 | ## 题目 4 | 5 | ``` 6 | 给你一根长度为 n 的绳子，请把绳子剪成整数长度的 m 段（m、n都是整数，n>1并且m>1）， 7 | 每段绳子的长度记为 k[0],k[1]...k[m] 。请问 k[0]*k[1]*...*k[m] 可能的最大乘积是多少？ 8 | 例如，当绳子的长度是8时，我们把它剪成长度分别为2、3、3的三段，此时得到的最大乘积是18。 9 | 10 | 输入: 10 11 | 输出: 36 12 | 解释: 10 = 3 + 3 + 4, 3 × 3 × 4 = 36 13 | ``` 14 | 15 |
16 | 17 | ## 解法 18 | 19 | ### Python 20 | 21 | - 第一思路 22 | 23 | ``` 24 | def cuttingRope(self, n: int) -> int: 25 | if n < 4: 26 | return n - 1 27 | c, mod, ans = n // 3, n % 3, 0 28 | if mod == 0: 29 | ans = 3 ** c 30 | else: 31 | if mod == 1: 32 | ans = 3 ** (c-1) * (3 + mod) 33 | else: 34 | ans = 3 ** c * mod 35 | return ans 36 | ``` -------------------------------------------------------------------------------- /LeetCode/0389-FindtheDifference.md: -------------------------------------------------------------------------------- 1 | # 389. Find the Difference 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given two strings s and t which consist of only lowercase letters. 8 | 9 | String t is generated by random shuffling string s and then add one more letter at a random position. 10 | 11 | Find the letter that was added in t. 12 | ``` 13 | 14 |
15 | 16 | 17 | ## 解法 18 | 19 | ### Python 20 | 21 | - 第一思路 22 | 23 | 可参考题目 136-Single Number 24 | 25 | ``` 26 | ## 时间复杂度O(len(s) + len(t)) 空间复杂度O(len(t)) 27 | def findTheDifference(self, s: str, t: str) -> str: 28 | s = s + t 29 | res = 0 30 | for i in s: 31 | res ^= ord(i) 32 | return chr(res) 33 | ``` 34 | -------------------------------------------------------------------------------- /Books/剑指Offer/066-构建乘积数组.md: -------------------------------------------------------------------------------- 1 | # 66. 构建乘积数组 2 | 3 | ## 题目 4 | 5 | ``` 6 | 给定一个数组 A[0,1,…,n-1]，请构建一个数组 B[0,1,…,n-1]，其中 B 中的元素 B[i]=A[0]×A[1]×…×A[i-1]×A[i+1]×…×A[n-1]。不能使用除法。 7 | 8 | 输入: [1,2,3,4,5] 9 | 输出: [120,60,40,30,24] 10 | 11 | 提示 12 | 所有元素乘积之和不会溢出 32 位整数 13 | a.length <= 100000 14 | ``` 15 | 16 |
17 | 18 | ## 解法 19 | 20 | ### Python 21 | 22 | - 第一思路 23 | 24 | ``` 25 | def constructArr(self, a: list) -> list: 26 | if not a: return list() 27 | ans, l, r = list(), 1, [a[-1]] * len(a) 28 | for i in range(len(a)-2, 0, -1): 29 | r[i] = r[i+1] * a[i] 30 | r.pop(0) 31 | r.append(1) 32 | for i in range(len(a)): 33 | ans.append(r[i] * l) 34 | l *= a[i] 35 | return ans 36 | ``` -------------------------------------------------------------------------------- /Books/程序员面试金典/17.14-最小K个数.md: -------------------------------------------------------------------------------- 1 | # 17.14-最小K个数 2 | 3 | ## 题目 4 | 5 | ``` 6 | 设计一个算法，找出数组中最小的k个数。以任意顺序返回这k个数均可。 7 | 8 | 示例： 9 | 输入： arr = [1,3,5,7,2,4,6,8], k = 4 10 | 输出： [1,2,3,4] 11 | ``` 12 | 13 |
14 | 15 | ## 解法 16 | 17 | 注意 `python3` 中堆是小顶堆 18 | 19 | ```Python3 20 | from typing import List 21 | import heapq 22 | 23 | class Solution: 24 | def smallestK(self, arr: List[int], k: int) -> List[int]: 25 | if k == 0: return [] 26 | 27 | hp = [-x for x in arr[:k]] 28 | heapq.heapify(hp) 29 | for i in range(k, len(arr)): 30 | if -hp[0] > arr[i]: 31 | heapq.heappop(hp) 32 | heapq.heappush(hp, -arr[i]) 33 | res = [-x for x in hp] 34 | return res 35 | ``` -------------------------------------------------------------------------------- /LeetCode/0001-TwoSum.md: -------------------------------------------------------------------------------- 1 | # 1.Two Sum 2 | 3 | ## 题目 4 | 5 | ``` 6 | Given an array of integers, return indices of the two numbers such that they add up to a specific target. 7 | You may assume that each input would have exactly one solution, and you may not use the same element twice. 8 | 9 | Example: 10 | Given nums = [2, 7, 11, 15], target = 9, 11 | Because nums[0] + nums[1] = 2 + 7 = 9, 12 | return [0, 1]. 13 | ``` 14 | 15 |
16 | 17 | ## 解法 18 | 19 | 20 | ### Python 21 | 22 | ```python3 23 | def twoSum(self, nums: list, target: int) -> list: 24 | numsDict = {} 25 | for i in range(len(nums)): 26 | if nums[i] in numsDict: 27 | return [numsDict[nums[i]], i] 28 | numsDict[target - nums[i]] = i 29 | return None 30 | ``` -------------------------------------------------------------------------------- /Sort/ReadMe.md: -------------------------------------------------------------------------------- 1 | 2 | # 排序 3 | 4 |
5 | 6 | ![](../Images/Sort/sort_time_space_stability.png) 7 | 8 | 9 | 10 | ## 稳定性 11 | 12 | 稳定性指如果待排序的序列中存在值相等的元素，经过排序之后，相等元素之间原有的先后顺序不变。 13 | 14 | 比如说，我们现在要给电商交易系统中的“订单”排序。订单有两个属性，一个是下单时间，另一个是订单金额。如果我们现在有 10 万条订单数据，我们希望按照金额从小到大对订单数据排序。对于金额相同的订单，我们希望按照下单时间从早到晚有序。对于这样一个排序需求，我们怎么来做呢？ 15 | 16 | 最先想到的方法是：我们先按照金额对订单数据进行排序，然后，再遍历排序之后的订单数据，对于每个金额相同的小区间再按照下单时间排序。这种排序思路理解起来不难，但是实现起来会很复杂。 17 | 18 | 借助稳定排序算法，这个问题可以非常简洁地解决。解决思路是这样的：我们先按照下单时间给订单排序，注意是按照下单时间，不是金额。排序完成之后，我们用稳定排序算法，按照订单金额重新排序。两遍排序之后，我们得到的订单数据就是按照金额从小到大排序，金额相同的订单按照下单时间从早到晚排序的。为什么呢？ 19 | 20 | 稳定排序算法可以保持金额相同的两个对象，在排序之后的前后顺序不变。第一次排序之后，所有的订单按照下单时间从早到晚有序了。在第二次排序中，我们用的是稳定的排序算法，所以经过第二次排序之后，相同金额的订单仍然保持下单时间从早到晚有序。 21 | 22 | 23 | ![](../Images/Sort/stability.png) 24 | 25 | 26 | ## 时间复杂度 27 | 28 | -------------------------------------------------------------------------------- /LeetCode/0976-LargestPerimeterTriangle.md: -------------------------------------------------------------------------------- 1 | # 976. Largest Perimeter Triangle 2 | 3 | 4 |
5 | 6 | ## 题目 7 | 8 | ``` 9 | Given an integer array nums, return the largest perimeter of a triangle with a non-zero area, formed from three of these lengths. 10 | If it is impossible to form any triangle of a non-zero area, return 0. 11 | 12 | Input: nums = [2,1,2] 13 | Output: 5 14 | 15 | Constraints: 16 | 3 <= nums.length <= 104 17 | 1 <= nums[i] <= 106 18 | ``` 19 | 20 |
21 | 22 | ## 解法 23 | 24 | ```python3 25 | def largestPerimeter(self, nums: List[int]) -> int: 26 | nums.sort(reverse=True) 27 | 28 | for i in range(len(nums)-2): 29 | if nums[i] < nums[i+1] + nums[i+2]: 30 | return nums[i] + nums[i+1] + nums[i+2] 31 | return 0 32 | ``` 33 | 34 |
-------------------------------------------------------------------------------- /LeetCode/0557-ReverseWordsInAStringIII.md: -------------------------------------------------------------------------------- 1 | # 557. Reverse Words in a String III 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given a string s, reverse the order of characters in each word within a sentence while still preserving whitespace and initial word order. 8 | 9 | Example 1: 10 | Input: s = "Let's take LeetCode contest" 11 | Output: "s'teL ekat edoCteeL tsetnoc" 12 | 13 | Constraints: 14 | 1 <= s.length <= 5 * 104 15 | s contains printable ASCII characters. 16 | s does not contain any leading or trailing spaces. 17 | There is at least one word in s. 18 | All the words in s are separated by a single space. 19 | ``` 20 | 21 |
22 | 23 | 24 | ## 解法 25 | 26 | ``` 27 | class Solution: 28 | def reverseWords(self, s: str) -> str: 29 | return " ".join(word[::-1] for word in s.split(" ")) 30 | ``` -------------------------------------------------------------------------------- /LeetCode/0118-PascalsTriangle.md: -------------------------------------------------------------------------------- 1 | # 118. Pascal's Triangle 2 | 3 | ## 题目 4 | 5 | ``` 6 | Given an integer numRows, return the first numRows of Pascal's triangle. 7 | In Pascal's triangle, each number is the sum of the two numbers directly above it as shown: 8 | 9 | Example 1: 10 | Input: numRows = 5 11 | Output: [[1],[1,1],[1,2,1],[1,3,3,1],[1,4,6,4,1]] 12 | 13 | Constraints: 14 | 1 <= numRows <= 30 15 | ``` 16 | 17 |
18 | 19 | ## 解法 20 | 21 | ```python3 22 | from typing import List 23 | class Solution: 24 | def generate(self, numRows: int) -> List[List[int]]: 25 | ans = [[1] * i for i in range(1,numRows + 1)] 26 | print(ans) 27 | for i in range(1, numRows): 28 | for j in range(1, i): 29 | ans[i][j] = ans[i-1][j] + ans[i-1][j-1] 30 | return ans 31 | ``` -------------------------------------------------------------------------------- /LeetCode/0342-PowerofFour.md: -------------------------------------------------------------------------------- 1 | # 342. Power of Four 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given an integer (signed 32 bits), write a function to check whether it is a power of 4. 8 | 9 | Example: 10 | Input: 16 11 | Output: true 12 | 13 | Follow up: Could you solve it without loops/recursion? 14 | ``` 15 | 16 |
17 | 18 | ## 解法 19 | 20 | ### Python 21 | 22 | - 第一思路 23 | 24 | ``` 25 | ## 4的幂次方 1出现一次 且出现在奇数位 26 | def isPowerOfFour_odd(self, num: int) -> bool: 27 | if num <= 0: return False 28 | return num & (num - 1) == 0 and len(bin(num)) % 2 != 0 29 | ``` 30 | 31 | 32 | - 借鉴思路 33 | 34 | ``` 35 | ## 2^2k mod 3 = 4^k mod 3 = (3+1)^K mod 3 = 1 36 | ## 2^(2k+1) mod 3 = (4^k * 2) mod 3 = (2* (3+1)^k) mod 3 = 2 37 | def isPowerOfFour_(self, num: int) -> bool: 38 | return num > 0 and num & (num - 1) == 0 and num % 3 == 1 39 | ``` -------------------------------------------------------------------------------- /LeetCode/0242-ValidAnagram.md: -------------------------------------------------------------------------------- 1 | # 242. Valid Anagram 2 | 3 | ## 题目 4 | 5 | ``` 6 | Given two strings s and t, return true if t is an anagram of s, and false otherwise. 7 | 8 | Example 1: 9 | Input: s = "anagram", t = "nagaram" 10 | Output: true 11 | 12 | Constraints: 13 | 1 <= s.length, t.length <= 5 * 104 14 | s and t consist of lowercase English letters. 15 | 16 | Follow up: What if the inputs contain Unicode characters? How would you adapt your solution to such a case? 17 | ``` 18 | 19 |
20 | 21 | 22 | ## 解法 23 | 24 | ```python3 25 | def isAnagram(self, s: str, t: str) -> bool: 26 | if len(s) != len(t): return False 27 | 28 | record = [0] * 26 29 | for ch in s: 30 | record[ord(ch) - 97] += 1 31 | for ch in t: 32 | record[ord(ch) - 97] -= 1 33 | return not any(r != 0 for r in record) 34 | ``` -------------------------------------------------------------------------------- /LeetCode/0700-SearchInABinarySearchTree.md: -------------------------------------------------------------------------------- 1 | 2 | # 700. Search in a Binary Search Tree 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | You are given the root of a binary search tree (BST) and an integer val. 9 | Find the node in the BST that the node's value equals val and return the subtree rooted with that node. 10 | If such a node does not exist, return null. 11 | 12 | Input: root = [4,2,7,1,3], val = 2 13 | Output: [2,1,3] 14 | 15 | Constraints: 16 | The number of nodes in the tree is in the range [1, 5000]. 17 | 1 <= Node.val <= 107 18 | root is a binary search tree. 19 | 1 <= val <= 107 20 | ``` 21 | 22 |
23 | 24 | ## 解法 25 | 26 | ```python3 27 | def searchBST(self, root: TreeNode, val: int) -> TreeNode: 28 | while root and root.val != val: 29 | root = root.left if root.val > val else root.right 30 | return root 31 | ``` -------------------------------------------------------------------------------- /LeetCode/0263-UglyNumber.md: -------------------------------------------------------------------------------- 1 | 2 | # 263. Ugly Number 3 | 4 | ## 题目 5 | 6 | ``` 7 | Write a program to check whether a given number is an ugly number. 8 | Ugly numbers are positive numbers whose prime factors only include 2, 3, 5. 9 | 10 | Example 1: 11 | Input: 8 12 | Output: true 13 | Explanation: 8 = 2 × 2 × 2 14 | 15 | Example 2: 16 | Input: 14 17 | Output: false 18 | Explanation: 14 is not ugly since it includes another prime factor 7. 19 | 20 | Note: 21 | - 1 is typically treated as an ugly number. 22 | - Input is within the 32-bit signed integer range: [−231,  231 − 1]. 23 | ``` 24 | 25 | 26 |
27 | 28 | ## 解法 29 | 30 | ### Python 31 | 32 | - 借鉴思路 33 | 34 | ``` 35 | def isUgly(self, num) -> bool: 36 | if num <=0: return False 37 | for a in [2, 3, 5]: 38 | while num % a == 0: 39 | num //= a 40 | return num == 1 41 | ``` -------------------------------------------------------------------------------- /LeetCode/0234-PalindromeLinkedList.md: -------------------------------------------------------------------------------- 1 | 2 | # 234. Palindrome Linked List 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | Given a singly linked list, determine if it is a palindrome. 9 | 10 | Follow up: 11 | Could you do it in O(n) time and O(1) space? 12 | ``` 13 | 14 |
15 | 16 | ## 解法 17 | 18 | ### python 19 | 20 | - 第一思路 21 | 22 | ``` 23 | Space O(n/2) 24 | def isPalindrome_linkList_list(self, head: ListNode) -> bool: 25 | if not head: return True 26 | 27 | n = 0 28 | while head: 29 | n += 1 30 | head = head.next 31 | 32 | l, i = [], 0 33 | while head: 34 | if i == n//2 and n % 2 != 0: 35 | None 36 | elif i < n//2: 37 | l.append(head.val) 38 | else: 39 | if l[-1] == head.val: 40 | l.pop() 41 | else: 42 | return False 43 | i += 1 44 | head = head.next 45 | return not l 46 | ``` -------------------------------------------------------------------------------- /LeetCode/0459-RepeatedSubstringPattern.md: -------------------------------------------------------------------------------- 1 | 2 | # 459. Repeated Substring Pattern 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given a non-empty string check if it can be constructed by taking a substring of it and appending multiple copies of the substring together. 8 | You may assume the given string consists of lowercase English letters only and its length will not exceed 10000. 9 | ``` 10 | 11 |
12 | 13 | ## 解法 14 | 15 | ### Python 16 | 17 | - 切片 18 | 19 | ``` 20 | def repeatedSubstringPattern(s: str) -> bool: 21 | n = len(s) 22 | for i in range(0, n//2 + 1): 23 | if n % i == 0 and s[:i] * n//i == s: 24 | return True 25 | return False 26 | ``` 27 | 28 | - find函数 29 | 30 | ``` 31 | ## 从 s + s 下标为1的元素中查找 s，若find返回的值小于len(s) 则 s 存在重复的子串 32 | def repeatedSubstringPattern_find(s: str) -> bool: 33 | return (s + s).find(s, 1) != len(s) 34 | ``` -------------------------------------------------------------------------------- /LeetCode/0022-GenerateParentheses.md: -------------------------------------------------------------------------------- 1 | # 22. Generate Parentheses 2 | 3 |
4 | 5 | ## 题目 6 | 7 | ``` 8 | Given n pairs of parentheses, write a function to generate all combinations of well-formed parentheses. 9 | 10 | Input: n = 3 11 | Output: ["((()))","(()())","(())()","()(())","()()()"] 12 | 13 | Constraints: 14 | 1 <= n <= 8 15 | ``` 16 | 17 |
18 | 19 | ## 解法 20 | 21 | ```python3 22 | # 深度优先搜索 23 | def generateParenthesis(self, n: int) -> List[str]: 24 | if n <= 0: return list() 25 | ans, pa = [], "" 26 | 27 | def dfs(pa, left, right): 28 | if left == 0 and right == 0: 29 | ans.append(pa) 30 | if right < left: 31 | # ')' 的数量一定要小于'(' 32 | return 33 | if left > 0: 34 | dfs(pa + "(", left - 1, right) 35 | if right > 0: 36 | dfs(pa + ")", left, right - 1) 37 | 38 | dfs(pa, n, n) 39 | return ans 40 | ``` 41 | 42 |
-------------------------------------------------------------------------------- /LeetCode/0219-ContainsDuplicateII.md: -------------------------------------------------------------------------------- 1 | # 219. Contains Duplicate 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given an array of integers and an integer k, 8 | find out whether there are two distinct indices i and j in the array such that nums[i] = nums[j] 9 | and the absolute difference between i and j is at most k. 10 | 11 | Example 1: 12 | Input: nums = [1,2,3,1], k = 3 13 | Output: true 14 | 15 | Example 3: 16 | Input: nums = [1,2,3,1,2,3], k = 2 17 | Output: false 18 | ``` 19 | 20 | 21 |
22 | 23 | ## 解法 24 | 25 | ### Python 26 | 27 | - 第一思路 hash 28 | 29 | ``` 30 | def containsNearbyDuplicate(self, nums, k: int) -> bool: 31 | hash = {} 32 | for i in range(0, len(nums)): 33 | try: 34 | if i - hash[nums[i]] <= k: 35 | return True 36 | else: 37 | hash[nums[i]] = i 38 | except: 39 | hash[nums[i]] = i 40 | return False 41 | ``` 42 | -------------------------------------------------------------------------------- /Books/剑指Offer/144-珠宝的最大价值.md: -------------------------------------------------------------------------------- 1 | # 144. 珠宝的最大价值 2 | 3 | ## 题目 4 | 5 | ``` 6 | 现有一个记作二维矩阵 frame 的珠宝架，其中 frame[i][j] 为该位置珠宝的价值。拿取珠宝的规则为： 7 | 8 | 只能从架子的左上角开始拿珠宝 9 | 每次可以移动到右侧或下侧的相邻位置 10 | 到达珠宝架子的右下角时，停止拿取 11 | 注意：珠宝的价值都是大于 0 的。除非这个架子上没有任何珠宝，比如 frame = [[0]]。 12 | 13 | 示例 1： 14 | 输入：frame = [[1,3,1],[1,5,1],[4,2,1]] 15 | 输出：12 16 | 解释：路径 1→3→5→2→1 可以拿到最高价值的珠宝 17 | 18 | 19 | 提示： 20 | 0 < frame.length <= 200 21 | 0 < frame[0].length <= 200 22 | ``` 23 | 24 | 25 | ## 解法 26 | 27 | ```python3 28 | def jewelleryValue(self, frame: List[List[int]]) -> int: 29 | if len(frame) == 0: return 0 30 | m, n = len(frame) + 1, len(frame[0]) + 1 31 | dp = [[0] * n for _ in range(m)] 32 | 33 | for i in range(1, m): 34 | for j in range(1, n): 35 | dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]) + frame[i - 1][j - 1] 36 | return dp[m - 1][n - 1] 37 | ``` -------------------------------------------------------------------------------- /LeetCode/0003-LongestSubstringWithoutRepeatingCharacters.md: -------------------------------------------------------------------------------- 1 | # 0003-LongestSubstringWithoutRepeatingCharacters 2 | 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | Given a string s, find the length of the longest substring without repeating characters. 9 | 10 | Example 1: 11 | Input: s = "abcabcbb" 12 | Output: 3 13 | Explanation: The answer is "abc", with the length of 3. 14 | ``` 15 | 16 |
17 | 18 | ## 解法 19 | 20 | ``` 21 | class Solution: 22 | def lengthOfLongestSubstring(self, s: str) -> int: 23 | subStringSet = set() 24 | result, right = 0, -1 25 | for i in range(len(s)): 26 | if i != 0: 27 | subStringSet.remove(s[i - 1]) 28 | while right + 1 < len(s) and s[right + 1] not in subStringSet: 29 | subStringSet.add(s[right+1]) 30 | right += 1 31 | result = max(result, right - i + 1) 32 | return result 33 | ``` 34 | -------------------------------------------------------------------------------- /LeetCode/0053-MaximumSubarray.md: -------------------------------------------------------------------------------- 1 | # 53. Maximum Subarray 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum. 8 | 9 | Input: [-2,1,-3,4,-1,2,1,-5,4], 10 | Output: 6 11 | Explanation: [4,-1,2,1] has the largest sum = 6. 12 | 13 | Follow up: 14 | If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle. 15 | ``` 16 | 17 |
18 | 19 | ## 解法 20 | 21 | ### Python 22 | 23 | - 第一思路 动态规划 dp 24 | 25 | ``` 26 | def maxSubArray(self, nums) -> int: 27 | if not nums: return 0 28 | largest, dp = nums[0], [0] * len(nums) 29 | dp[0] = nums[0] 30 | for i in range(1, len(nums)): 31 | dp[i] = max(dp[i-1] + nums[i], nums[i]) 32 | if largest < dp[i]: 33 | largest = dp[i] 34 | return largest 35 | ``` -------------------------------------------------------------------------------- /LeetCode/0125-ValidPalindrome.md: -------------------------------------------------------------------------------- 1 | 2 | # 125. Valid Palindrome 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | Given a string, determine if it is a palindrome, 9 | considering only alphanumeric characters and ignoring cases. 10 | 11 | Note: For the purpose of this problem, 12 | we define empty string as valid palindrome. 13 | 14 | Example 1: 15 | Input: "A man, a plan, a canal: Panama" 16 | Output: true 17 | 18 | Example 2: 19 | Input: "race a car" 20 | Output: false 21 | ``` 22 | 23 |
24 | 25 | 26 | ## 解法 27 | 28 | ### Python 29 | 30 | 31 | ``` 32 | ## 数字的ASCII范围[48, 57], 小写字母ASCII范围[97, 122] 33 | ## Time Complexity: O(n) Space Complexity:O(n) 34 | def isPalindrome_ascii(self, s: str) -> bool: 35 | if not s: return True 36 | 37 | temp = "" 38 | s = s.lower() 39 | for i in s: 40 | if 48<= ord(i) <=57 or 97<= ord(i) <=122: 41 | temp += i 42 | return temp == temp[::-1] 43 | ``` 44 | 45 | -------------------------------------------------------------------------------- /LeetCode/0231-PowerOfTwo.md: -------------------------------------------------------------------------------- 1 | # 231. Power of Two 2 | 3 | ## 题目 4 | 5 | ``` 6 | Given an integer, write a function to determine if it is a power of two. 7 | 8 | Example 1: 9 | Input: 1 10 | Output: true 11 | Explanation: 2^0 = 1 12 | ``` 13 | 14 |
15 | 16 | ## 解法 17 | 18 | ### Python 19 | 20 | - 第一思路 转成二进制只有一个 1 其余位都是 0 21 | 22 | ``` 23 | ## 将 n 转成二进制，若二进制只有一个1 则 n 是 2 的幂次方 24 | def isPowerOfTwo_bin(self, n: int) -> bool: 25 | if n <= 0: return False 26 | return bin(n)[3:].find('1') == -1 27 | ``` 28 | 29 | - 第一思路 除2 30 | 31 | ``` 32 | ## 除以 2 有余数时 n 为 1, 则 n 是 2 的幂次方 33 | def isPowerOfTwo_(self, n:int) -> int: 34 | if n<= 0: return False 35 | while n & 1 == 0: 36 | n = n >> 1 37 | return n == 1 38 | ``` 39 | 40 | - 借鉴思路 41 | 42 | ``` 43 | ## 若 n 是 2 的幂次方 44 | ## 则 n 的二进制最高位为1 其余位都是0，n-1除了最高位是0 其余位都是1 45 | def isPowerOfTwo_(self, n:int) -> int: 46 | return n > 0 and n & (n - 1) == 0 47 | ``` 48 | -------------------------------------------------------------------------------- /Netwotk/传输层-TCP流量控制.md: -------------------------------------------------------------------------------- 1 | 2 | # 传输层 - TCP 流量控制 3 | 4 |
5 | 6 | 流量控制 (flow control) ：就是让发送方的发送速率不要太快，要让接收方来得及接收。利用滑动窗口的机制可以很方便在 TCP 连接上实现对发送方的流量控制。 7 | 8 | ![](../Images/Network/FlowControl/FlowControl_images01.png) 9 | 10 | - 发送方的发送窗口不能超过接收方给出的接收窗口的数值。TCP 窗口的单位是字节，不是报文段。 11 | 12 | - TCP 建立连接时就会确认接收窗口大小，如上图建立连接时 rwnd = 400 13 | - 接收方主机 B 进行了 3 次流量控制，第一次窗口减小到 rwnd = 300，第二次窗口减小到 rwnd = 100，最后减小到 rwnd = 300 14 | - 当 rwnd = 0 时就不允许发送方发送数据。 15 | - TCP 规定及时设置 0 窗口，也必须接收 零窗口探测报文段、确认报文段和携带紧急数据的报文段 三种报文。 16 | 17 | 18 | 0 窗口报文可能导致死锁问题：如上 A 收到 0 窗口报文段就不会再发送数据，但过会 B 的接收缓存释放了一些控制，于是 B 向 A 发送了非 0 窗口报文段。然后这个报文段在传送过程丢了。A 一直等待收到 B 发送的非 0 窗口的通知，而 B 也一直等待 A 发送的数据。这就造成死锁局面。 19 | 20 | 解决办法：TCP 为每一个连接设有一个持续计时器 (persistence timer)。只要 TCP 连接的一方收到对方的零窗口通知，就启动持续计时器。若持续计时器设置的时间到期，就发送一个零窗口探测报文段(仅携带 1 字节的数据)，而对方就在确认这个探测报文段时给出了现在的窗口值。如果窗口仍是零，那么收到这个报文段的一方就重新设置持续计时器。如果窗口不是零，那么死锁的僵局就可以打破了。 21 | 22 | 23 |
24 | 25 | 26 |
27 | 28 | 29 |
-------------------------------------------------------------------------------- /Books/剑指Offer/065.-不用加减乘除做加法.md: -------------------------------------------------------------------------------- 1 | # 65. 不用加减乘除做加法 2 | 3 | ## 题目 4 | 5 | ``` 6 | 写一个函数，求两个整数之和，要求在函数体内不得使用 “+”、“-”、“*”、“/” 四则运算符号。 7 | 8 | 输入: a = 1, b = 1 9 | 输出: 2 10 | 11 | 提示： 12 | a, b 均可能是负数或 0 13 | 结果不会溢出 32 位整数 14 | ``` 15 | 16 |
17 | 18 | ## 解法 19 | 20 | ### Python 21 | 22 | - 原码转补码 23 | 24 | - 正数的原码即补码不用转换,如果是负数的话通过n & 0xffffffff进行转换 25 | 26 | - 补码转原码(两种) 27 | 28 | - 通过-(((~n)+1) & 0xffffffff)或者~(n ^ 0xffffffff)都可以进行转换,这是n的实际值为负数的时候的转换方式 29 | 30 | ``` 31 | def add(self, a: int, b: int) -> int: 32 | # (n & 0xffffffff)进行这种变换的原因是,如果存在负数则需要转换成补码的形式,正数补码是他本身 33 | a &= 0xffffffff# 34 | b &= 0xffffffff 35 | while b != 0: 36 | # 如果是负数,转换成补码形式 37 | carry = ((a & b) << 1) & 0xffffffff 38 | a ^= b 39 | b = carry 40 | # 如果是正数的话直接返回 0x80000000 = 2^31 41 | if a < 0x80000000: 42 | return a 43 | else: 44 | # 是负数的话,转化成其原码 45 | return ~(a^0xffffffff) 46 | ``` -------------------------------------------------------------------------------- /LeetCode/0019-RemoveNthNodeFromEndOfList.md: -------------------------------------------------------------------------------- 1 | 2 | # 19. Remove Nth Node From End of List 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given the head of a linked list, remove the nth node from the end of the list and return its head. 8 | 9 | Input: head = [1,2,3,4,5], n = 2 10 | Output: [1,2,3,5] 11 | 12 | Constraints: 13 | The number of nodes in the list is sz. 14 | 1 <= sz <= 30 15 | 0 <= Node.val <= 100 16 | 1 <= n <= sz 17 | 18 | Follow up: Could you do this in one pass? 19 | ``` 20 | 21 |
22 | 23 | ## 解法 24 | 25 | ```python 26 | class Solution: 27 | def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode: 28 | dummy = ListNode(0, head) 29 | slow, fast = dummy, head 30 | for i in range(n): 31 | fast = fast.next 32 | while fast.next: 33 | slow = slow.next 34 | fast = fast.next 35 | 36 | slow.next = slow.next.next 37 | return dummy.next 38 | ``` -------------------------------------------------------------------------------- /LeetCode/0453-MinimumMovesToEqualArrayElements.md: -------------------------------------------------------------------------------- 1 | # 453. Minimum Moves to Equal Array Elements 2 | 3 | 4 |
5 | 6 | ## 题目 7 | 8 | ``` 9 | Given an integer array nums of size n, return the minimum number of moves required to make all array elements equal. 10 | In one move, you can increment n - 1 elements of the array by 1. 11 | 12 | Input: nums = [1,2,3] 13 | Output: 3 14 | Explanation: Only three moves are needed (remember each move increments two elements): 15 | [1,2,3] => [2,3,3] => [3,4,3] => [4,4,4] 16 | 17 | Constraints: 18 | n == nums.length 19 | 1 <= nums.length <= 10^5 20 | -10^9 <= nums[i] <= 10^9 21 | The answer is guaranteed to fit in a 32-bit integer. 22 | ``` 23 | 24 |
25 | 26 | ## 解法 27 | 28 | ```python3 29 | def minMoves(self, nums: List[int]) -> int: 30 | min_num = min(nums) 31 | res = 0 32 | for num in nums: 33 | res += num - min_num 34 | return res 35 | ``` 36 | 37 |
-------------------------------------------------------------------------------- /LeetCode/0345-ReverseVowelsOfAString.md: -------------------------------------------------------------------------------- 1 | # 345. Reverse Vowels of a String 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Write a function that takes a string as input and reverse only the vowels of a string. 8 | 9 | Example 1: 10 | Input: "hello" 11 | Output: "holle" 12 | 13 | Example 2: 14 | Input: "leetcode" 15 | Output: "leotcede" 16 | 17 | Note: 18 | The vowels does not include the letter "y". 19 | ``` 20 | 21 | 22 |
23 | 24 | ## 解法 25 | 26 | 27 | ### Python 28 | 29 | ``` 30 | ## Time Complexity: O(10*n) Space Complexity:O(n) 31 | def reverseVowels(self, s: str) -> str: 32 | vowels = ['a', 'e', 'i', 'o', 'u', 'A', 'E', 'I', 'O', 'U'] 33 | letters = list(s) 34 | i , j = 0, len(s) -1 35 | while(i < j): 36 | while i 27 | 28 | ## 解法 29 | 30 | ### Python 31 | 32 | ``` 33 | def findNumberIn2DArray(self, matrix: list, target: int) -> bool: 34 | if not matrix or matrix[0][0] > target or matrix[-1][-1] < target: 35 | return False 36 | n, m = len(matrix) - 1, 0 37 | while n >= 0 and m < len(matrix[0]): 38 | flag = matrix[n][m] 39 | if flag < target: 40 | m += 1 41 | elif flag > target: 42 | n -= 1 43 | else: 44 | return True 45 | return False 46 | ``` -------------------------------------------------------------------------------- /LeetCode/0383-RansomNote.md: -------------------------------------------------------------------------------- 1 | # 383. Ransom Note 2 | 3 | ## 题目 4 | 5 | ``` 6 | Given two stings ransomNote and magazine, return true if ransomNote can be constructed from magazine and false otherwise. 7 | Each letter in magazine can only be used once in ransomNote. 8 | 9 | Input: ransomNote = "aa", magazine = "aab" 10 | Output: true 11 | 12 | Constraints: 13 | 1 <= ransomNote.length, magazine.length <= 105 14 | ransomNote and magazine consist of lowercase English letters. 15 | ``` 16 | 17 |
18 | 19 | ## 解法 20 | 21 | ```python3 22 | def canConstruct(self, ransomNote: str, magazine: str) -> bool: 23 | d = dict() 24 | for ch in magazine: 25 | try: 26 | d[ch] += 1 27 | except: 28 | d[ch] = 1 29 | for ch in ransomNote: 30 | if ch not in d: 31 | return False 32 | else: 33 | d[ch] -= 1 34 | if d[ch] < 0: return False 35 | return True 36 | ``` -------------------------------------------------------------------------------- /LeetCode/0441-ArrangingCoins.md: -------------------------------------------------------------------------------- 1 | 2 | # 441. Arranging Coins 3 | 4 | ## 题目 5 | 6 | ``` 7 | You have n coins and you want to build a staircase with these coins. 8 | The staircase consists of k rows where the ith row has exactly i coins. 9 | The last row of the staircase may be incomplete. 10 | 11 | Given the integer n, return the number of complete rows of the staircase you will build. 12 | 13 | Input: n = 8 14 | Output: 3 15 | Explanation: Because the 4th row is incomplete, we return 3. 16 | 17 | Constraints: 1 <= n <= 231 - 1 18 | ``` 19 | 20 | 21 |
22 | 23 | ## 解法 24 | 25 | ### Python 26 | 27 | ``` 28 | def arrangeCoins(n: int) -> int: 29 | n_half = int(n * 2) 30 | n_sqrt = math.floor(n ** 0.5) 31 | 32 | for i in range(n_sqrt, n_half): 33 | if i ** 2 + i == 2 * n: 34 | return i 35 | if i ** 2 + i > 2 * n: 36 | return i - 1 37 | return 0 38 | ``` -------------------------------------------------------------------------------- /LeetCode/0349-IntersectionOfTwoArrays.md: -------------------------------------------------------------------------------- 1 | 2 | # 349. Intersection of Two Arrays 3 | 4 | 5 | ## 题目 6 | 7 | ``` 8 | Given two arrays, write a function to compute their intersection. 9 | 10 | Example 1: 11 | Input: nums1 = [1,2,2,1], nums2 = [2,2] 12 | Output: [2] 13 | 14 | Example 2: 15 | Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4] 16 | Output: [9,4] 17 | 18 | Note: 19 | Each element in the result must be unique. 20 | The result can be in any order. 21 | ``` 22 | 23 | 24 | ## 解法 25 | 26 | 27 | ### Python 28 | 29 | - 第一思路 30 | 31 | ``` 32 | def intersection_dict(self, nums1: list, nums2: list) -> list: 33 | d1, result = {}, [] 34 | for i in range(len(nums1)): 35 | d1[nums1[i]] = i 36 | for a in nums2: 37 | if a in d1: 38 | result.append(a) 39 | return set(result) 40 | ``` 41 | 42 | 43 | - 借鉴思路 原来 Python 中 & 还可以这么用 44 | 45 | ``` 46 | def intersection_set(self, nums1: list, nums2: list) -> list: 47 | return list(set(nums1) & set(nums2)) 48 | ``` -------------------------------------------------------------------------------- /LeetCode/0190-ReverseBits.md: -------------------------------------------------------------------------------- 1 | 2 | # 190. Reverse Bits 3 | 4 |
5 | 6 | 7 | ## 题目 8 | 9 | ``` 10 | Reverse bits of a given 32 bits unsigned integer. 11 | 12 | Example 1: 13 | Input: 00000010100101000001111010011100 14 | Output: 00111001011110000010100101000000 15 | Explanation: The input binary string 00000010100101000001111010011100 represents the unsigned integer 43261596, 16 | so return 964176192 which its binary representation is 00111001011110000010100101000000. 17 | ``` 18 | 19 |
20 | 21 | ## 解法 22 | 23 | ### Python 24 | 25 | - 借用 python 自带函数 26 | 27 | ``` 28 | ## unsigned int：0 ~ 4294967296 29 | ## 借助 python 自带函数 30 | def reverseBits(self, n) -> int: 31 | re = bin(n)[2:][::-1] 32 | re += '0' * (32 - len(re)) 33 | #re = '0b' + re 34 | return int(re, 2) 35 | ``` 36 | 37 | - 位运算 38 | 39 | ``` 40 | ## 位运算 41 | def reverseBits_bit(self, n) -> int: 42 | re = '' 43 | for i in range(0, 32): 44 | re += str((n >> i) & 1) 45 | return int(re, 2) 46 | ``` -------------------------------------------------------------------------------- /LeetCode/0217-ContainsDuplicate.md: -------------------------------------------------------------------------------- 1 | 2 | # 217. Contains Duplicate 3 | 4 | ## 题目 5 | 6 | ``` 7 | Given an array of integers, find if the array contains any duplicates. 8 | 9 | Your function should return true if any value appears at least twice in the array, and it should return false if every element is distinct. 10 | 11 | Example 1: 12 | Input: [1,2,3,1] 13 | Output: true 14 | 15 | Example 2: 16 | Input: [1,2,3,4] 17 | Output: false 18 | ``` 19 | 20 | 21 |
22 | 23 | ## 解法 24 | 25 | ### Python 26 | 27 | - 第一思路 hash 28 | 29 | ``` 30 | ## Time Complexity:O(n) Space Complexity:O(n) 31 | def containsDuplicate_hash(self, nums) -> bool: 32 | hash = {} 33 | for a in nums: 34 | if not hash.get(a) and hash.get(a) != 0: 35 | hash[a] = a 36 | else: 37 | return True 38 | return False 39 | ``` 40 | 41 | - 借鉴思路 set 42 | 43 | ``` 44 | def containsDuplicate_set(self, nums) -> bool: 45 | return len(nums) != len(set(nums)) 46 | ``` 47 | 48 | 49 | 50 | 51 | 52 | -------------------------------------------------------------------------------- /LeetCode/0942-DIStringMatch.md: -------------------------------------------------------------------------------- 1 | # 942. DI String Match 2 | 3 |
4 | 5 | ## 题目 6 | 7 | ``` 8 | A permutation perm of n + 1 integers of all the integers in the range [0, n] can be represented as a string s of length n where: 9 | s[i] == 'I' if perm[i] < perm[i + 1], and 10 | s[i] == 'D' if perm[i] > perm[i + 1]. 11 | Given a string s, reconstruct the permutation perm and return it. If there are multiple valid permutations perm, return any of them. 12 | 13 | Input: s = "IDID" 14 | Output: [0,4,1,3,2] 15 | 16 | Constraints: 17 | 1 <= s.length <= 105 18 | s[i] is either 'I' or 'D'. 19 | ``` 20 | 21 |
22 | 23 | ## 解法 24 | 25 | ```python3 26 | def diStringMatch(self, s: str) -> List[int]: 27 | ans, i, j = [], 0, len(s) 28 | for m in range(len(s)): 29 | if s[m] == "I": 30 | ans.append(i) 31 | i += 1 32 | else: 33 | ans.append(j) 34 | j -= 1 35 | ans.append(i) 36 | return ans 37 | ``` 38 | 39 |
-------------------------------------------------------------------------------- /LeetCode/0371-SumOfTwoIntegers.md: -------------------------------------------------------------------------------- 1 | # 371. Sum of Two Integers 2 | 3 | 4 | ## 题目 5 | 6 | ``` 7 | Calculate the sum of two integers a and b, but you are not allowed to use the operator + and -. 8 | 9 | Example 1: 10 | Input: a = 1, b = 2 11 | Output: 3 12 | ``` 13 | 14 |
15 | 16 | ## 解法 17 | 18 | ### Python 19 | 20 | - 借鉴思路 21 | 22 | ``` 23 | def getSum(self, a: int, b: int) -> int: 24 | # 2^32 25 | MASK = 0x100000000 26 | # 整型最大值 27 | MAX_INT = 0x7FFFFFFF 28 | MIN_INT = MAX_INT + 1 29 | while b != 0: 30 | # 计算进位 31 | carry = (a & b) << 1 32 | # 取余范围限制在 [0, 2^32-1] 范围内 33 | a = (a ^ b) % MASK 34 | b = carry % MASK 35 | return a if a <= MAX_INT else ~((a % MIN_INT) ^ MAX_INT) 36 | ``` 37 | 38 | ### C 39 | 40 | ``` 41 | int getSum(int a, int b) 42 | { 43 | while(b != 0){ 44 | int temp = a ^ b; 45 | b = (unsigned int)(a & b) << 1; 46 | a = temp; 47 | } 48 | return a; 49 | } 50 | ``` --------------------------------------------------------------------------------