Golang Warsaw #53 20 September 2023 – 18:30 Connectis_ (Varso Place), Chmielna 71, WarszawaHostSponsorsAgenda 1. Transitioning to Go - Robert Pajak 2. Break / Your announcements (OpenSource, event

Golang Warsaw #53 20 September 2023 – 18:30 Connectis_ (Varso Place), Chmielna 71, WarszawaHostSponsorsAgenda 1. Transitioning to Go - Robert Pajak 2. Break / Your announcements (OpenSource, event

Debian GNU/Linux Setup Guide For ThinkPad P53, P73 ***Official support of Debian 10.0 and later. 2 Section 1 exit BIOS setup. 5 Section 2 – Discrete vs Hybrid Graphics The Thinkpad P53 and P73 offer both Nvidia and Intel graphics. To run exclusively Nvidia graphics, use the discrete to the following instructions and screenshots on how to install Debian 10 on the Lenovo Thinkpad P53 and P73. • Insert the Debian 10 installation media (either through USB or CD/DVD). • Power

Dr.-Ing. Mario Heiderich, Cure53 Bielefelder Str. 14 D 10709 Berlin cure53.de · mario@cure53.de Pentest-Report Dapr 06.2020 Cure53, Dr.-Ing. M. Heiderich, M. Wege, MSc. R Conclusions Cure53, Berlin · 07/01/20 1/19 Dr.-Ing. Mario Heiderich, Cure53 Bielefelder Str. 14 D 10709 Berlin cure53.de · mario@cure53.de Introduction by Cure53 in summer 2020, the project entailed comprehensive penetration test and source code audit of the Dapr scope. In terms of resources, the project was assigned to four members of the Cure53 team

Dr.-Ing. Mario Heiderich, Cure53 Bielefelder Str. 14 D 10709 Berlin cure53.de · mario@cure53.de Pentest- & Retest-Report Dapr 02.2021 Cure53, Dr.-Ing. M. Heiderich, Dipl.-Inf frameworks.” From https://dapr.io/#about This report continues a security-driven cooperation between Cure53 and Dapr, reporting on the findings of a penetration test and source code audit against the Dapr software features of Dapr, the report also highlights what has been done in terms of fixing the issues that Cure53 revealed on the scope back in June 2020. It should be clarified that Dapr is a distributed application

Dr.-Ing. Mario Heiderich, Cure53 Bielefelder Str. 14 D 10709 Berlin cure53.de · mario@cure53.de Pentest-Report Vitess 02.2019 Cure53, Dr.-Ing. M. Heiderich, M. Wege, MSc project was carried out by Cure53 in February 2019 and revealed only three miscellaneous findings. In terms of resources, the test was completed by six members of the Cure53 team who worked within a time setup was requested by the testers and provided by the development team. Besides furnishing Cure53 with a Kubernetes-based cluster, locally installed systems were also used for testing. Access to all

root root 4096 Jul 1 19:53 . drwxr-xr-x 4 root root 4096 Jul 1 19:53 .. -rw------- 1 root root 1679 Jul 1 19:53 kube-apiserver-key.pem -rw------- 1 root root 1679 Jul 1 19:53 kube-apiserver-proxy-client-key root root 1107 Jul 1 19:53 kube-apiserver-proxy-client.pem -rw------- 1 root root 1675 Jul 1 19:53 kube-apiserver-requestheader-ca-key.pem -rw-r--r-- 1 root root 1082 Jul 1 19:53 kube-apiserver-requestheader-ca 1285 Jul 1 19:53 kube-apiserver.pem -rw------- 1 root root 1675 Jul 1 19:53 kube-ca-key.pem -rw-r--r-- 1 root root 1017 Jul 1 19:53 kube-ca.pem -rw------- 1 root root 1679 Jul 1 19:53 kube-controller-manager-key

AttrStride Attr = 0x51 AttrEntrypc Attr = 0x52 AttrUseUTF8 Attr = 0x53 AttrExtension Attr = 0x54 AttrRanges Attr = 0x55 AttrTrampoline Attr = Stanford MIPS-X. */ EM_COLDFIRE Machine = 52 /* Motorola ColdFire. */ EM_68HC12 Machine = 53 /* Motorola M68HC12. */ EM_MMA Machine = 54 /* Fujitsu MMA. */ EM_PCP Machine R_SPARC_M44 R_SPARC = 51 R_SPARC_L44 R_SPARC = 52 R_SPARC_REGISTER R_SPARC = 53 R_SPARC_UA64 R_SPARC = 54 R_SPARC_UA16 R_SPARC = 55 ) func (R_SPARC) GoString func

Reinforcement Learning . . . . . . . . . . . . . . . . . . . . . . . 53 8.1.1 The naming of the programs in the graph . . . . . . . . . 53 8.1.2 The Settings Used by the Programs Running, and Other Relevant Relevant Information . . . . . . . . . . . . . . . . . . . . . 53 8.1.3 General Statistics . . . . . . . . . . . . . . . . . . . . . . . 54 8.1.4 The Untrimmed Sarsa . . . . . . . . . . . . . . . . . . -timeStart 48 if(type == 0): 49 epsilon = 0 50 mu = 0.5 51 gamma = 0.5 52 amountEpisodes = 1000 53 timeStart = time.time () 54 self.train(amountEpisodes , epsilon , mu , gamma) 26 55 timeEnd = time