Saravanan666/pypi-org huggingface dataset:
Package: mindpet
MindPet微调算法用户文档一、MindPet简介MindPet（Pet：Parameter-Efficient Tuning）是属于Mindspore领域的微调算法套件。随着计算算力不断增加，大模型无限的潜力也被挖掘出来。但随之在应用和训练上带来了巨大的花销，导致商业落地困难。因此，出现一种新的参数高效（parameter-efficient）算法，与标准的全参数微调相比，这些算法仅需要微调小部分参数，可以大大降低计算和存储成本，同时可媲美全参微调的性能。二、环境准备2.1 环境依赖Python 3.7至3.9版本MindSpore >= 1.82.2 软件安装在代码仓根目录下运行以下命令，会生成dist文件夹以及whl包：pythonset_up.pybdist_wheel执行以下命令安装whl包：pipinstalldist/mindpet-1.0.0-py3-none-any.whl2.3 软件卸载通过以下命令进行卸载：pipuninstallmindpet三、微调算法API目前MindPet已提供以下六种经典低参微调算法以及一种提升精度的微调算法的API接口，用户可快速适配原始大模型，提升下游任务微调性能和精度；微调算法算法论文使用说明LoRALoRA: Low-Rank Adaptation of Large Language ModelsMindPet_DeltaAlgorithm_README第一章PrefixTuningPrefix-Tuning: Optimizing Continuous Prompts for GenerationMindPet_DeltaAlgorithm_README第二章AdapterParameter-Efficient Transfer Learning for NLPMindPet_DeltaAlgorithm_README第三章LowRankAdapterCompacter: Efficient low-rank hypercom plex adapter layersMindPet_DeltaAlgorithm_README第四章BitFitBitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsMindPet_DeltaAlgorithm_README第五章R_DropR-Drop: Regularized Dropout for Neural NetworksMindPet_DeltaAlgorithm_README第六章P-Tuning v2P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksMindPet_DeltaAlgorithm_README第七章四、共性图操作API4.1 冻结指定模块功能APIMindPet支持用户根据 微调算法 或 模块名 冻结网络中部分模块，提供调用接口和配置文件两种实现方式。使用说明参考MindPet_GraphOperation_README第一章。4.2 保存可训练参数功能APIMindPet支持用户单独保存训练中可更新的参数为ckpt文件，从而节省存储所用的物理资源。使用说明参考MindPet_GraphOperation_README第二章。
Package: mindpile
mindpileA transpiler for EV3 Mindstorms to ev3dev2 Python.Using mypy for types and black for code-auto-formatting.Usingev3simincludes native mindpile support, this is the easiest way to get started.Blocks Not ImplementedBlocks Partially ImplementedDisplay: Doesn't support displaying images, white colour, or text sizeSound: Doesn't support playing files, repeat play type, or stopping soundsLoop Interrupt: Only supports breaking out of a loop it is directly inside. It can't break out more than 1 layerBrick Buttons: This probably has some bugsMotor Sensors: You must use a motor from that port before reading the valueComment: Comments aren't inserted into Python codeContributingInstall the package locally withpip install -e  ./
Package: mindpowered-carloancalculator
carloancalculatorCar Loan Auto Loan Payment Calculator - Calculate financing on a new car including trade-in and taxesContentsSource Code and DocumentationAboutRequirementsInstallationUsageSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/car-loan-calculator-pythonDocumentation:https://mindpowered.github.io/car-loan-calculator-pythonAboutThis package aims to calculate the following:Given the price of a new car, what is the payment?Given a certain payment, what is the max price of the new car?The calculation takes into account:The interest rate of the car loanThe term (length) of the car loanApplicable TaxesTrade-in value and amount owingDown paymentRequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the carloancalculator package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the carloancalculator requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-carloancalculator>0Now you can use pip to install the carloancalculator package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.Usagefrommindpowered_carloancalculatorimport*cc=CarLoanCalculator()clc.CalcPayments(33429,4500,0,10000,2000,0.7,3.99);SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-colorconverter
colorconverterConverter to convert between various color systems such as RGB, CIELAB, CMYK, HEX, RGB, and XYZContentsSource Code and DocumentationAboutRequirementsInstallationUsageSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/color-converter-pythonDocumentation:https://mindpowered.github.io/color-converter-pythonAboutDefining a color is difficult. The first challenge is finding a way to describe a color. One way is to describe color based on constituent colors. We can describe constituent colors by adding them, like in RGB, or subtracting them, like in CMYK. Gamut is the range of all colors that are representable in a color system. RGB trades a limited gamut for performance. LAB trades performance for the full gamut of visible colors. CMYK represents the gamut used in color printing.The second challenge to defining a color is that it depends on the observer. Viewing the same color will look different when:printed on paper or displayed on a screenseen in daylight or under fluorescent lightingpositioned at a close or far distance
Standard references such as the Pantone Matching System refer to specific colors. We lose information when converting from a reference color to a color system. Printing or rendering an RGB or CMYK color equivalent to a reference color may not match. We can avoid information loss during conversion by using an unlimited gamut such as LAB. We must also take into account the effect of the observer and illumination.This package aims to provide tools to perform:Color conversion between color systemsA way of searching for similar standardized reference colorsRequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the colorconverter package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the colorconverter requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-colorconverter>0Now you can use pip to install the colorconverter package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.Usagefrommindpowered_colorconverterimport*cc=ColorConverter()colors=cc.FromHEX("#336699")SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-electricalc
electricalcCalculator for electrical wiring and circuitsContentsSource Code and DocumentationRequirementsInstallationSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/electrical-calculator-pythonDocumentation:https://mindpowered.github.io/electrical-calculator-pythonRequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the electricalc package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the electricalc requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-electricalc>0Now you can use pip to install the electricalc package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-englishauction
englishauctionOnline auctions with ascending price and time limitContentsSource Code and DocumentationAboutRequirementsInstallationUsageSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/english-auction-pythonDocumentation:https://mindpowered.github.io/english-auction-pythonAboutAn English auction is the most common form of auction. When an auction opens, the price starts low and increases as buyers bid for the item. Live auctions usually end when there is no new highest bid for a period of time. For online auctions, an end time is usually set. To prevent items selling for a loss, sometimes the seller will place a reserve. A reserve is the least amount to sell the item for, although the auction may start at a lower price. Another common feature of online auctions is the ability to pay a set price to win and end the auction.This package aims to provide functionality of online English auctions.RequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the englishauction package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the englishauction requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-englishauction>0Now you can use pip to install the englishauction package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.Usagefrommindpowered_englishauctionimport*ea=EnglishAuction()ea.GetOpenAuctions(0,10,"start",true);SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-financecalculator
financecalculatorFinancial calculations such as Net Present Value, Present Value, Future ValueContentsSource Code and DocumentationRequirementsInstallationSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/finance-calculator-pythonDocumentation:https://mindpowered.github.io/finance-calculator-pythonRequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the financecalculator package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the financecalculator requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-financecalculator>0Now you can use pip to install the financecalculator package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-invoices
invoicesCreate, edit, and track invoices as part of your appContentsSource Code and DocumentationAboutRequirementsInstallationUsageSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/invoices-pythonDocumentation:https://mindpowered.github.io/invoices-pythonAboutAn invoice lists the quantities and costs of the products or services provided by a seller to a buyer. The top of the invoice usually includes the:contact information of the sellercontact information of the buyerdate of the invoiceIn the middle of the invoice is a list of products or services. A line item refers to a line from this list. The line item describes the product or service, quantity, rate, price, and taxes.At the bottom of the invoice is a summary which usually includes:subtotal (before tax)total (with tax) amountpayment terms.This package aims to provide the tools to create and edit invoices. This is useful for sending by the seller or receiving by the buyer.RequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the invoices package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the invoices requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-invoices>0Now you can use pip to install the invoices package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.Usagefrommindpowered_invoicesimport*inv=Invoices()inv.Create("354","2153","2021-02-01","2021-03-01","Thanks for the business!")SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-iptools
iptoolsTools for working with IP4/IP6 IP Addresses including IPv4, IPv6, CIDR, and Subnet MasksContentsSource Code and DocumentationAboutRequirementsInstallationUsageSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/ip-tools-pythonDocumentation:https://mindpowered.github.io/ip-tools-pythonAboutIPv4 uses a 32-bit address for its Internet addresses. All IPv4 addresses are now assigned. IPv6 utilizes 128-bit Internet addresses so there are 1028 times more addresses. Mappings exist for converting from an IPv4 address to an IPv6 addresses. This allows interoperability.An IP address consists of octets delimited by dots (".") for IPv4 or colons (":") for IPv6. We can compress IPv6 addresses by removing extra zeros to make the address shorter. Computers store IP addresses as their corresponding integer values. The number represented by this integer is its decimal representation.Subnetting is the process of dividing a network into smaller network sections. A part of the IP address ismaskedoff to define a network. The remaining part of the address identifies a device on the network. CIDR is an alternative way of representing a subnet mask and IP address range.RequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the iptools package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the iptools requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-iptools>0Now you can use pip to install the iptools package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.Usagefrommindpowered_iptoolsimport*ipt=IPTools()decimal=ipt.IPToDecimal("192.168.1.1")SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-maglev
maglevInternal Communication BusContentsSource Code and DocumentationRequirementsInstallationSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/maglev-pythonDocumentation:https://mindpowered.github.io/maglev-pythonRequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the maglev package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the maglev requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-maglev>0Now you can use pip to install the maglev package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-persistence
persistenceContentsRequirementsInstallationLicensingSupportRequirementsPython 3.x. Due to security fixes and new features Python 3.7 or later is recommended.
pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the persistence package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the persistence requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-persistence>0Now you can use pip to install the persistence package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.LicensingAdditionallicensing optionsare available.SupportFor bug fixes, please raise an issue in theIssue Tracker.For feature requests, and general support, pleaseContact us.
Package: mindpowered-reservedseating
reservedseatingReserved/Allocated/Assigned Seating for Venues and EventsContentsSource Code and DocumentationAboutRequirementsInstallationUsageSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/reserved-seating-pythonDocumentation:https://mindpowered.github.io/reserved-seating-pythonAboutReserved seating is when each event ticket has a specific seat. That is, attendees will know where they will sit ahead of time. Seats are usually identified by row and seat using numbers or letters.Venues may be set up for different types of events. In this case, the seating configuration, and seats available, will change.Buying tickets for a reserved seating event can end in disappointment. Unless a system is in place that can hold a seat, they may sell out during the sale process. The system must also have a time limit on holds to make sure enough seats are available to buy. Holds should only last until the sale process is complete or expired. Expired holds should release the seats for sale again. Holds should only last long enough to complete the sale process.This package aims to reserve seats for a venue and event and allow booking with holds that expire.RequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the reservedseating package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the reservedseating requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-reservedseating>0Now you can use pip to install the reservedseating package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.Usagefrommindpowered_reservedseatingimport*cc=ReservedSeating()colors=rs.CreateVenue("123","Venue 1","250")SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License.
Package: mindpowered-shoppingcart
shoppingcartShopping Cart for Online ShoppingContentsSource Code and DocumentationRequirementsInstallationSupportLicensingSource Code and DocumentationSource Code:https://github.com/mindpowered/shopping-cart-pythonDocumentation:https://mindpowered.github.io/shopping-cart-pythonRequirementsRequires Python 3.x. Due to security fixes and new features Python 3.7 or later is recommended.pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the shoppingcart package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the shoppingcart requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-shoppingcart>0Now you can use pip to install the shoppingcart package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.SupportWe are here to support using this package. If it doesn't do what you're looking for, isn't working, or you just need help, pleaseContact us.There is also a publicIssue Trackeravailable for this package.LicensingThis package is released under the MIT License. The MIT License has no restrictions on commercial use and permits reuse within proprietary software. It is also FSF approved, OSI approved, and GPL compatible.
Package: mindpowered-sqlalchemy-persistence
persistenceContentsRequirementsInstallationLicensingSupportRequirementsPython 3.x. Due to security fixes and new features Python 3.7 or later is recommended.
pipThird-party dependencies may have additional requirements.InstallationYou can retrieve the persistence package from the Python Package Indexhttps://pypi.org/using pip. First make sure you have python3 and python3-pip installed. Then you can start by making arequirements.txtfile in your working directory with the persistence requirement in it. You can add any other packages to your requirements here, each as a separate line.requirements.txt:mindpowered-persistence>0Now you can use pip to install the persistence package:python3 -m pip install -r requirements.txtIf you would like to update the package, simply run the above command again.LicensingAdditionallicensing optionsare available.SupportFor bug fixes, please raise an issue in theIssue Tracker.For feature requests, and general support, pleaseContact us.