Saravanan666/pypi-org huggingface dataset:
Package: dm.zopepatches.ztutils
This package patches Zope’sZTUtilsto enhance itsmake_queryandmake_hidden_inputfunctions. Those functions are used to pass values across
two requests and allow the target request to get the value in approximately
the same way (e.g. in the same type) as it has been in the source request,
avoiding tedious fixups in the target request.The standard Zope versions are quite limited. They support
(binary) strings, integers, floats andDateTime.DateTimeas
elementary data types and lists and namespaces (i.e. something
with anitemsmethod) of those elemantary types for structured
values.This package replaces Zope’sZTUtils.Zope.complex_marshalby a variant
that correctly handles unicode and tuples. In addition, empty lists
(and tuples) are retained. Tuples are marshalled as lists. This
patch makes “make_query” and “make_hidden_input” more reliable.From version 1.1 on, the application can register extensions
to support additional elementary data types or to support
passing structured values which are more deeply nested. For details,
please see the docstrings of classExtensionand the functionsregister_extensionandunregister_extension.By default, the extension framework is used to register
an extension handlingNonevalues. Note that this changes
the behavior forNonepassing relative to pre 1.1 versions.
Useunregister_extension("none")to keep the old behavior.The extension framework is used to define the functionregister_json_extension.
It uses JSON marshalling to represent subvalues in
structured data which are too deeply nested to be handled by
basic mashalling. Should you need customization
for the JSON marshalling, take the implementation ofregister_json_extensionas a blueprint for your own definition.Version history2.0Python 3/Zope 4 compatibility1.1Extension framework to optionnaly support application specific
handling of new data types and deeper data structuresNoneis (by default) passed on as the objectNonenot as
the string"None".1.0Letsmake_queryandmake_hidden_inputsreliably handle unicode, tuples and empty lists.
Package: dm.zope.reseller
A package to support resellers.It maintains in a postgres database information about providers,
products (called articles),
clients, orders and deliveries. It uses a Zope2 frontend
for user interaction.It assumes a single (implicit) reseller
and several “provider”s and “client”s.Each provider provides “article”s which the clients can buy.Clients buy articles in “unit”s; the provider provides them
in “packet”s which contain an integral number of “unit”s. If
the “packet_size” is different from 1, then the reseller repackages
the delivered articles for its clients.The reseller continously collects “client_order_item”s and
periodically issues “order”s to a provider consisting of
“provider_order_item”s.The reseller occationally receives a “provider_delivery” for an order
consisting of “provider_delivery_item”s and splits them into
“client_delivery_item”s.There is a special client, used as stock. It can be used to
balance orders and deliveries. It (and it alone) can have
negative “unit” values in its “client_delivery_items” - indicating
that units have been taken out of the stock.Usually, we do not delete items. Instead, we mark them as not “active”.
This is in order not to break references.
Package: dm.zope.rpc_protocol.wsdl_suds
This is a plugin fordm.zope.rpc, a protocol independent
middleware to expose web services over a variety of rpc protocols.This package is usingsuds, an advanced soap (1.1) client library under
the LGPL license.sudsis slightly abused by using it to implement a server component.
This abuse requires the use of undocumented implementation details
which may change betweensudsversions. The package has been
implemented withsuds==0.3.9. It may not work with other versions.LimitationsThe current implementation does not handle exceptions.
They are not transformed into SOAPFaultmessages (as required
by SOAP 1.1) but
reported by the underlying transport protocol (“HTTP”) (using
HTTP error codes with HTML messages).
The reason for this limitation: SOAP 1.1 has no complete
(self contained) specification for itsFaultelement but requires
externally defined namespaces for completion and I have not yet
understood the interaction between WSDL defined exceptions and
SOAPFaultelements. Once, I have understood WSDL specified
exceptions, this limitation might be removed.SOAP and WSDL are complex standards with a large number of features.
This package does not support all features. For example, it
ignores all SOAP headers, even headers with amust_understanddeclaration (in violation of the SOAP specification).
In addition, only a small set of features has been tested:
for example, only thedocumentbinding; other bindungs might
(or might not) work. Over time, more features might be supported,
might have been tested.The current implementation makes use ofsudsWSDL caching. This
can be confusing during WSDL development, as modifications are not
seen until the cache times out. Delete thesudscache files in such
a case (they usually are in asudssubfolder of the folder typically
used for temporary files).ConfigurationAs usual withdm.zope.rpcprotocol handlers, configuration
is via a marshaller instance.
The WSDL specific configuration of theWsdlMarshalleris
via the fieldswsdl_mapanddefault_namespace.wsdl_mapmaps the namespace found in a method invocation to
an url which provides access to the WSDL for this namespace.default_namespaceis the namespace to be used for GET requests
when method and parameters are specified directly in the url and
not via a request entity.You can find a (simple) example configuration intests.soap.MiscThe package has been tested under Zope 2.12 and Zope 2.10.
For Zope versions before 2.12, a properly configureddm.zopepatches.xmlrpcis required, to prevent Zope’s
builtin xmlrpc support to interfere. The above mentioned example
configuration shows howdm.zopepatches.xmlrpccan be configured.
Package: dm.zope.rpc.wsdl_suds
This is a plugin fordm.zope.rpc, a protocol independent
middleware to expose web services over a variety of rpc protocols.This package is usingsuds, an advanced soap (1.1) client library under
the LGPL license.sudsis slightly abused by using it to implement a server component.
This abuse requires the use of undocumented implementation details
which may change betweensudsversions. The package has been
implemented withsuds==0.3.9. It may not work with other versions.LimitationsThe current implementation does not handle exceptions.
They are not transformed into SOAPFaultmessages (as required
by SOAP 1.1) but
reported by the underlying transport protocol (“HTTP”) (using
HTTP error codes with HTML messages).
The reason for this limitation: SOAP 1.1 has no complete
(self contained) specification for itsFaultelement but requires
externally defined namespaces for completion and I have not yet
understood the interaction between WSDL defined exceptions and
SOAPFaultelements. Once, I have understood WSDL specified
exceptions, this limitation might be removed.SOAP and WSDL are complex standards with a large number of features.
This package does not support all features. For example, it
ignores all SOAP headers, even headers with amust_understanddeclaration (in violation of the SOAP specification).
In addition, only a small set of features has been tested:
for example, only thedocumentbinding; other bindungs might
(or might not) work. Over time, more features might be supported,
might have been tested.The current implementation makes use ofsudsWSDL caching. This
can be confusing during WSDL development, as modifications are not
seen until the cache times out. Delete thesudscache files in such
a case (they usually are in asudssubfolder of the folder typically
used for temporary files).ConfigurationAs usual withdm.zope.rpcprotocol handlers, configuration
is via a marshaller instance.
The WSDL specific configuration of theWsdlMarshalleris
via the fieldswsdl_mapanddefault_namespace.wsdl_mapmaps the namespace found in a method invocation to
an url which provides access to the WSDL for this namespace.default_namespaceis the namespace to be used for GET requests
when method and parameters are specified directly in the url and
not via a request entity.You can find a (simple) example configuration intests.soap.MiscThe package has been tested under Zope 2.12 and Zope 2.10.
For Zope versions before 2.12, a properly configureddm.zopepatches.xmlrpcis required, to prevent Zope’s
builtin xmlrpc support to interfere. The above mentioned example
configuration shows howdm.zopepatches.xmlrpccan be configured.
Package: dn3
DeathNot3Installationsudo apt-get update
sudo apt-get install python3 python3-pip
python3 -m pip install --upgrade dn3DescriptionDeathNot3 is a one-for-all, all-for-one tool that aims to make solving CTF pwn challenges easier and faster.deathnot3 was started as a wrapper for pwntools, but with the addition of the "l1ght" submodule, it has become a lightweight alternative to pwntools process/remote
while providing additional functionality.
deathnot3 aims to:allow strings and bytes interchageablybe lightweightprovide basic automationbe an all around pwn helper for CTFsRequirementsSupports: Python 3.6+Library Dependency:pyelftoolszstandardunix_arrequestswgetUsagefromdn3import*binary=ELF("./binary")libc=ELF("./libc.so.6")ctx.mode=strctx.libc=libc# recv in string. Can also be set to bytesio=process("./binary")DeathNot3()# Initialize deathnot3reu("yeet")# equivalent of io.recvuntil()sl(b"leet")# equivalent of io.sendline()sla("yeet",8)# equivalent of io.sendlineafter()s("bruh")# equivalent of io.send()# bytes, string and integers can be used interchageably to sendsl(p64(0xdeadbeef))# equivalent of p64() but returns stringsla("oof",flat([0xdeadbeef,"ABCD"# equivalent of flat() but returns string])libc=libcleak("puts")# Offset integer can be given instead of symbol# Equivalent to# libc = unpack(io.recv(6),48) - libc.symbols.puts# log.info("Libc -> %s" % hex(libc)interactive()# equivalent of io.interactive()CLIdn3 template <binary_path> -l <libc_path> -r <ip>:<port>used to generate template exploit on the go, based on a template formatedit config usingdn3 cfgand specify template format url or path (if path prefix withlocal:)example template formatdn3 linker <binary_path> -l <libc_path>Find appropriate dynamic linker for given libc and patch binary with it and provided libc usingpatchelfdn3 cfg <key(optional)>Edit dn3's configconfig is located at~/.dn3.confTODOImplement ELF similar to that of pwntoolsAdd inline description comments for codeImplement buffering for process, remoteAdd automationstatic vulnerability detectionret2winret2shellcoderet2libc/ROPtcache poisoningAdd documentation to wikiAdd support for big endianAdd support for arm based architecturesaarch64arm
Package: dna
Python Package Template📦 一个快速上传到PyPI的 Python Package 模版。上传到 PyPI 后可以使用pip install安装。1 使用方法点击本项目右上角的绿色按钮Use this template（使用此模板），输入名称和说明，完成创建；将项目克隆到本地，这里以本项目为例，实际操作时这里需要替换你自己的项目；gitclonehttps://github.com/Ailln/python-package-template.git--depth1修改配置，文件中有提示；cdyour_package_name# 1. 替换默认项目名称 package_name 为你的项目名称# Usage: bash scripts/set_package_name.sh os_name old_name new_name# os_name 支持的有 `mac` 和 `linux`# old_name 是 package_name# new_name 是你的项目名称bashscripts/set_package_name.shmacpackage_nameyour_package_name# 2. 将 `README.md` 修改为你的项目介绍，也就是你当前在读的这个文本。编写你的 Package 代码，并进行测试。# 在本地进行充分测试bashscripts/local_test.sh上传到 PyPi（需要注册），参考如何发布自己的包到 pypi；bashscripts/upload_pypi.sh更新到 Github。gitpush2 项目结构.
├── package_name # 项目名称
│    ├── shell # 在命令行中执行的代码
│    │    ├── __init__.py
│    │    └── usage.py
│    └── src # 静态资源
│          └── temp.txt
├── scripts
│    ├── set_package_name.sh # 批量替换默认的项目名称
│    ├── local_install.sh
│    ├── local_test.sh
│    └── upload_pypi.sh
├── README.md # 项目文档
├── requirements.txt # 包依赖
├── .gitignore # 忽略文件
├── MANIFEST.in # 要包含在 sdist 命令构建的分发中的文件列表。
├── LICENSE # 这里面的内容为本项目的 License，你需要手动替换它。
└── setup.py # 安装配置3 TODO增加 test 相关代码。4 许可5 参考Packaging Python Projects如何从模板创建仓库？如何发布自己的包到 pypi ？
Package: dnaApi
Module Overview:This module will interact with Tor to get real time statistical and analytical information.Usages-from dnaApi import dnadna.authenticate()Functionality-|-is_alive - check tor process is alive or killed.|-is_valid_ipv4_address-check for valid ip address.|-authenticate- cookie authentication of control port.|-get_version- get version of tor.|-get_pid- find pid of tor service.|-get_info- get information like version,exit policy,network status etc.|-set_conf- change the value of one or more configurable variable.|-reset_conf-set the configurable variable to default values.|-get_conf- Request the value of zero or more configuration variable.|-get_ports- retreive informations about listeners of different ports.|-get_network_statuses- Router status info (v3 directory style) for all ORs.|-get_exit_policy-The default exit policy lines that Tor willappendto the ExitPolicy config option.|-prt_check-check validity of ports.|-can_exit_to- check whether one can exit through a particular port.|-get_circuit- get information about circuits present for use.|-port_usage-Usage of particular port.|-get_info_relay- retrieve information from database about a particular relay.|-status-tell status of a circuit BUILT or not.|-build_flag- build flag on circuit and relays.|-path- return path of circuit.|-created- circuit created info.|-signal-signal control port like NEWNYM,RELOAD etc.|-get_fingerprint-the contents of the fingerprint file that Tor writes as a relay, or a 551 if we're not a relay currently.|-get_network_status-network status of a relay with given fingerprint.
Package: dna-audit-new
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: dna-audit-new1
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: dna-audit-new2
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: dna-audit-new3
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: dna-audit-new4
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: dna-audit-tool
DNA AUDIT TOOLDNA Audit tool helps you to check whether the application built on AWS is following the AWS Well-Architected framework by validating it against
various AWS services security requirements and the best practices. Generates report to validate the security requirements and security best practices.AWS Hardening Standards & Best Practiceshttps://codaglobal.atlassian.net/l/cp/UP1BxJTrAWS Tagging Standardshttps://codaglobal.atlassian.net/l/cp/oj0NgsdbAWS Naming Standardshttps://codaglobal.atlassian.net/l/cp/s99nYLECAudit tool setupThe project basically uses boto client to connect to the aws services.Update the session credentials in the terminal.Specify the region name if you need to perform the audit for services in a specific region by mentioning the region name as argument while running the program.If no region is specified us-east-1 is taken as default region and audit checks are performed for the services in us-east-1.If you need to check tags. Update the Config.Json file by mentioning the tags in the account tags provided.Audit Tool ExecutionCreating Virtual Environmentpython3 -m venv venvActivating the virtual environmentsource venv/bin/activateInstalling the dependencies in the virtual environmentpip install -r requirements.txtRun the following commandpython3 src/main.py --region {region_name}Test Cases ExecutionnosetestsFinal ReportThe overall report is provided as a HTML document.sample report
Package: dnacauldron
DNA Cauldron provides a generic cloning simulation framework to predict
constructs sequences and detect assembly flaws.
It can simulate Golden-Gate, with extra features like enzyme or
connector parts autoselection, and other methods like Gibson Assembly,
LCR Assembly, BASIC assembly, BioBrick assembly.
It supports single and combinatorial assemblies, hierarchical assemblies, and
produces nice reports for traceability and troubleshooting.InfosPIP installation:pipinstalldnacauldronWeb documentation:https://edinburgh-genome-foundry.github.io/DnaCauldron/Github Page:https://github.com/Edinburgh-Genome-Foundry/DnaCauldronLive demo:http://cuba.genomefoundry.org/simulate_gg_assembliesLicense:MIT, Copyright Edinburgh Genome FoundryMore biology softwareDNA Cauldron is part of theEGF Codonssynthetic biology software suite for DNA design, manufacturing and validation.