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spaces/1acneusushi/gradio-2dmoleculeeditor/data/555 Timer Pro 3 Key Learn and Experiment with 555 Timer Circuits in Minutes.md

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-<h1>555 Timer Pro 3 Key: A Powerful Tool for Designing 555 Timer Circuits</h1>
-<p>If you are interested in designing and building electronic circuits using the popular 555 timer IC, you might want to check out <strong>555 Timer Pro 3 Key</strong>, a software application that provides an array of design wizards, circuit blocks and information panels that facilitate the use of the 555 timer in projects.</p>
-<p>In this article, we will introduce you to the features and benefits of using <strong>555 Timer Pro 3 Key</strong>, show you how to use it for designing various types of 555 timer circuits, and give you some examples of circuits that you can create with this software. By the end of this article, you will have a better understanding of how <strong>555 Timer Pro 3 Key</strong> can help you design and test your own 555 timer circuits with ease and accuracy.</p>
-<h2>555 Timer Pro 3 Key</h2><br /><p><b><b>Download Zip</b> - <a href="https://byltly.com/2uKz0Q">https://byltly.com/2uKz0Q</a></b></p><br /><br />
- <h2>How to use 555 Timer Pro 3 Key</h2>
-<p><strong>555 Timer Pro 3 Key</strong> is a software application that runs on Windows operating systems. It is compatible with Windows Vista, Windows 7, Windows 8 and Windows 10. To use <strong>555 Timer Pro 3 Key</strong>, you need to download and install it on your computer. You can download it from <a href="https://www.schematica.com/Downloads.htm">https://www.schematica.com/Downloads.htm</a>, where you can also find a user manual and a video tutorial.</p>
-<p>Once you have installed <strong>555 Timer Pro 3 Key</strong>, you can launch it by clicking on its icon on your desktop or in your start menu. You will see a main window that looks like this:</p>
-<p>555 Timer Calculator DigiKey Electronics<br />
-555 Timer Pro 3 Key recommended by evfilara Kit<br />
-NE555P Texas Instruments Integrated Circuits ICs<br />
-555 Timer Circuit Calculator Monostable Astable Mode<br />
-555 Timer Pro 3 Key Patched Download imgfil.com<br />
-555 Timer Square Wave Generator Oscillator Circuit<br />
-555 Timer IC Pinout Diagram Features Applications<br />
-555 Timer Tutorial The Monostable Multivibrator<br />
-555 Timer Basics Astable Mode Circuit Basics<br />
-How to Make a Simple IC 555 PWM Circuit<br />
-555 Timer Projects for Beginners DIY Electronics Projects<br />
-NE555 Datasheet PDF Single Precision Timer TI.com<br />
-LM555 and LM556 Timer Circuits Model Railroad and Misc<br />
-How to Build a Delay Before Turn On Circuit with a 555 Timer<br />
-How to Build a Clock Circuit with a 555 Timer<br />
-How to Build an LED Flasher Circuit with a 555 Timer Chip<br />
-How to Build a Voltage Controlled Oscillator VCO with a 555 Timer Chip<br />
-How to Build a Touch Sensor Circuit with a 555 Timer Chip<br />
-How to Build a Dark activated Switch with a 555 Timer Chip<br />
-How to Build a Sound Activated Switch with a 555 Timer Chip<br />
-How to Build an Adjustable Square Wave Generator Circuit with a 555 Timer Chip<br />
-How to Build a Ramp Generator with Transistors and a 555 Timer Chip<br />
-How to Build an Infrared IR Detector Circuit with a 555 Timer Chip<br />
-How to Build an Overvoltage Protection Circuit with a Zener Diode and a 555 Timer Chip<br />
-How to Build an Automatic Night Light Circuit with a 555 Timer Chip<br />
-How to Build an LED Strobe Light Circuit with a 555 Timer Chip<br />
-How to Build an LED Dimmer Circuit with a 555 Timer Chip<br />
-How to Build an LED Chaser Circuit with a 555 Timer Chip<br />
-How to Build an LED Binary Counter Circuit with a 555 Timer Chip<br />
-How to Build an LED Knight Rider Circuit with a 555 Timer Chip<br />
-How to Build an LED Dice Circuit with a 555 Timer Chip<br />
-How to Build an LED Roulette Wheel Circuit with a 555 Timer Chip<br />
-How to Build an LED Traffic Light Circuit with a 555 Timer Chip<br />
-How to Build an LED Music Spectrum Analyzer Circuit with a 555 Timer Chip<br />
-How to Build an LED Temperature Indicator Circuit with a 555 Timer Chip<br />
-How to Build an LED Thermometer Circuit with a 555 Timer Chip<br />
-How to Build an LED Battery Level Indicator Circuit with a 555 Timer Chip<br />
-How to Build an LED Heart Rate Monitor Circuit with a 555 Timer Chip<br />
-How to Build an LED Pulse Width Modulation PWM Dimmer Circuit with a 555 Timer Chip<br />
-How to Build an LED Fading Effect Circuit with a 555 Timer Chip<br />
-How to Build an LED Flashing Alternating Red Blue Circuit with a 555 Timer Chip<br />
-How to Build an LED Random Flasher Circuit with a 555 Timer Chip<br />
-How to Build an LED Morse Code Transmitter Circuit with a 555 Timer Chip<br />
-How to Build an LED Metronome Circuit with a 555 Timer Chip<br />
-How to Build an LED Siren Sound Generator Circuit with a 555 Timer Chip<br />
-How to Build an LED Police Lights Circuit with a 555 Timer Chip<br />
-How to Build an LED Fireworks Circuit with a 555 Timer Chip<br />
-How to Build an LED Christmas Lights Circuit with a 555 Timer Chip<br />
-How to Build an LED Candle Light Flicker Effect Circuit with a 555 Timer Chip</p>
- <img src="https://www.schematica.com/images/TimerProMain.jpg" alt="Main window of 555 Timer Pro">
- <p>The main window consists of four main sections: the design wizards, the circuit blocks, the information panels and the toolbar. Let's take a look at each section in more detail.</p>
- <h3>The design wizards</h3>
-<p>The design wizards are located on the left side of the main window. They allow you to quickly design common types of 555 timer circuits by entering some parameters and clicking on a button. The design wizards include:</p>
-<ul>
-<li><strong>Astable Wizard</strong>: This wizard helps you design an astable multivibrator circuit using a 555 timer, which produces a square wave output with a variable frequency and duty cycle. You can enter the desired frequency, duty cycle, supply voltage and load current, and the wizard will calculate the resistor and capacitor values for you. You can also choose between CMOS or bipolar versions of the 555 timer.</li>
-<li><strong>Monostable Wizard</strong>: This wizard helps you design a monostable multivibrator circuit using a 555 timer, which produces a single pulse output with a variable duration when triggered by an input signal. You can enter the desired pulse duration, supply voltage and load current, and the wizard will calculate the resistor and capacitor values for you. You can also choose between CMOS or bipolar versions of the 555 timer.</li>
-<li><strong>Bistable Wizard</strong>: This wizard helps you design a bistable multivibrator circuit using two 555 timers, which acts as a flip-flop that can be toggled between two stable states by two input signals. You can enter the supply voltage and load current, and the wizard will calculate the resistor values for you.</li>
-<li><strong>PWM Wizard</strong>: This wizard helps you design a pulse width modulator circuit using a single or dual comparator IC (such as LM393) and a single or dual potentiometer (such as B10K), which produces a variable duty cycle output that can be used to control the speed or brightness of a motor or LED. You can enter the desired frequency range, supply voltage and load current, and the wizard will calculate the resistor and capacitor values for you.</li>
-<li><strong>FreqDiv Wizard</strong>: This wizard helps you design a frequency divider circuit using one or more flip-flop ICs (such as CD4017), which produces an output signal that has a lower frequency than an input signal by dividing it by an integer factor. You can enter the desired division factor, supply voltage and load current, and the wizard will calculate the resistor values for you.</li>
-<li><strong>Missing Pulse Detector Wizard</strong>: This wizard helps you design a missing pulse detector circuit using a single or dual comparator IC (such as LM393) and a single or dual potentiometer (such as B10K), which produces an output signal that indicates whether an input signal has missed one or more pulses within a specified time interval. You can enter the desired time interval, supply voltage and load current, and the wizard will calculate the resistor and capacitor values for you.</li>
-<li><strong>Tone Generator Wizard</strong>: This wizard helps you design a tone generator circuit using an astable multivibrator circuit with an RC network that produces an output signal with a variable frequency that can be used to generate musical notes or sound effects. You can enter the desired frequency range, supply voltage and load current, and the wizard will calculate the resistor and capacitor values for you.</li>
-<li><strong>Morse Code Generator Wizard</strong>: This wizard helps you design a Morse code generator circuit using an astable multivibrator circuit with an RC network that produces an output signal with a variable frequency that can be used to transmit Morse code messages by turning it on or off according to a predefined pattern. You can enter your message in plain text or Morse code symbols, choose between CMOS or bipolar versions of the 555 timer, select between dot-dash or Farnsworth modes, adjust the speed and tone parameters, and preview your message before generating it.</li>
-<li><strong>Multivibrator Calculator</strong>: This calculator allows you to calculate various parameters of an astable or monostable multivibrator circuit using a formula-based approach. You can enter any two known parameters (such as frequency, duty cycle, pulse duration, resistor value or capacitor value) and solve for any other parameter.</li>
-</ul>
- <h3>The circuit blocks</h3>
-<p>The circuit blocks are located on the right side of the main window. They allow you to build custom types of 555 timer circuits by dragging and dropping predefined components onto a breadboard-like area. The circuit blocks include:</p>
-<ul>
-<li><strong>Basic Blocks</strong>: These blocks include basic components such as resistors, capacitors, diodes, LEDs, switches, potentiometers, transistors, relays, speakers, buzzers, motors etc.</li>
-<li><strong>IC Blocks</strong>: These blocks include integrated circuits such as comparators (LM393), op-amps (LM741), flip-flops (CD4017), counters (CD4026), decoders (CD4511), multiplexers (CD4051), shift registers (CD4094), logic gates (CD4000 series) etc.</li>
-<li><strong>Timer Blocks</strong>: These blocks include various types of timers such as CMOS timers (ICM7555), bipolar timers (NE/SE/LM/SA/NA/LMC/LMCT/LMCTC series) etc.</li>
-<h3>The information panels</h3>
-<p>The information panels are located on the bottom of the main window. They provide useful information and feedback about the circuit you are designing. The information panels include:</p>
-<ul>
-<li><strong>Output Panel</strong>: This panel shows the output voltage and current of the circuit, as well as the power consumption and efficiency.</li>
-<li><strong>Component Panel</strong>: This panel shows the component values and tolerances of the circuit, as well as the color codes for resistors and capacitors.</li>
-<li><strong>Error Panel</strong>: This panel shows any errors or warnings that may occur during the design process, such as invalid values, missing components, short circuits, etc.</li>
-<li><strong>Help Panel</strong>: This panel shows helpful tips and hints on how to use <strong>555 Timer Pro 3 Key</strong>, as well as links to online resources and tutorials.</li>
-</ul>
- <h3>The toolbar</h3>
-<p>The toolbar is located on the top of the main window. It provides access to various functions and settings of <strong>555 Timer Pro 3 Key</strong>. The toolbar includes:</p>
-<ul>
-<li><strong>File Menu</strong>: This menu allows you to create, open, save, print and export your circuit designs, as well as access the preferences and exit the program.</li>
-<li><strong>Edit Menu</strong>: This menu allows you to undo, redo, cut, copy, paste and delete your circuit components, as well as select all or none of them.</li>
-<li><strong>View Menu</strong>: This menu allows you to zoom in, zoom out, fit to window or center your circuit design, as well as toggle the grid, snap to grid and show values options.</li>
-<li><strong>Tools Menu</strong>: This menu allows you to access the design wizards, the multivibrator calculator, the oscilloscope and the frequency meter.</li>
-<li><strong>Help Menu</strong>: This menu allows you to access the user manual, the video tutorial, the online support and the about information.</li>
-<li><strong>Buttons</strong>: These buttons allow you to quickly perform some common actions such as creating a new circuit, opening an existing circuit, saving your circuit, printing your circuit, exporting your circuit as an image or a PDF file, undoing or redoing your last action, cutting, copying or pasting your circuit components, zooming in or out your circuit design, accessing the design wizards or the multivibrator calculator.</li>
-</ul>
- <h2>Examples of 555 timer circuits designed with 555 Timer Pro 3 Key</h2>
-<p>To give you some ideas of what you can do with <strong>555 Timer Pro 3 Key</strong>, here are some examples of 555 timer circuits that you can design with this software. You can also find more examples in the user manual and the video tutorial.</p>
- <h3>LED flasher circuit</h3>
-<p>This circuit uses a 555 timer in astable mode to flash an LED on and off with a variable frequency and duty cycle. You can use the Astable Wizard to design this circuit by entering your desired frequency (for example, 1 Hz), duty cycle (for example, 50%), supply voltage (for example, 9V) and load current (for example, 10 mA). You can also choose between CMOS or bipolar versions of the 555 timer. The wizard will calculate the resistor and capacitor values for you (for example, R1 = 4.7 kΩ, R2 = 4.7 kΩ and C1 = 100 µF). You can then drag and drop the components from the Basic Blocks and Timer Blocks sections onto the breadboard area and connect them according to the schematic diagram shown below:</p>
- <img src="https://www.schematica.com/images/TimerProAstable.jpg" alt="LED flasher circuit schematic">
- <p>You can then simulate and test your circuit using the built-in oscilloscope and frequency meter. You can also adjust the potentiometer R2 to change the duty cycle of the output signal. You should see something like this on your screen:</p>
- <img src="https://www.schematica.com/images/TimerProAstableScope.jpg" alt="LED flasher circuit simulation">
- <h3>Pulse width modulator circuit</h3>
-R1 = 1 kΩ, R2 = 10 kΩ and C1 = 0.1 µF). You can then drag and drop the components from the IC Blocks and Basic Blocks sections onto the breadboard area and connect them according to the schematic diagram shown below:</p>
- <img src="https://www.schematica.com/images/TimerProPWM.jpg" alt="PWM circuit schematic">
- <p>You can then simulate and test your circuit using the built-in oscilloscope and frequency meter. You can also adjust the potentiometer R2 to change the duty cycle of the output signal. You should see something like this on your screen:</p>
- <img src="https://www.schematica.com/images/TimerProPWMScope.jpg" alt="PWM circuit simulation">
- <h3>Frequency divider circuit</h3>
-<p>This circuit uses one or more flip-flop ICs (CD4017) to divide an input signal frequency by an integer factor. You can use the FreqDiv Wizard to design this circuit by entering your desired division factor (for example, 10), supply voltage (for example, 9V) and load current (for example, 10 mA). The wizard will calculate the resistor values for you (for example, R1 = 470 Ω and R2 = 4.7 kΩ). You can then drag and drop the components from the IC Blocks and Basic Blocks sections onto the breadboard area and connect them according to the schematic diagram shown below:</p>
- <img src="https://www.electronics-tutorials.ws/wp-content/uploads/2018/05/counter-cou5.gif" alt="Frequency divider circuit schematic">
- <p>You can then simulate and test your circuit using the built-in oscilloscope and frequency meter. You should see something like this on your screen:</p>
- <img src="https://www.electronics-tutorials.ws/wp-content/uploads/2018/05/counter-cou6.gif" alt="Frequency divider circuit simulation">
- <h2>Conclusion</h2>
-<p>In this article, we have introduced you to <strong>555 Timer Pro 3 Key</strong>, a powerful tool for designing 555 timer circuits. We have shown you how to use its features and functions, such as the design wizards, the circuit blocks, the information panels and the toolbar. We have also given you some examples of 555 timer circuits that you can design with this software, such as LED flasher circuit, PWM circuit and frequency divider circuit.</p>
-<p>If you are interested in learning more about <strong>555 Timer Pro 3 Key</strong>, you can download it from <a href="https://www.schematica.com/Downloads.htm">https://www.schematica.com/Downloads.htm</a>, where you can also find a user manual and a video tutorial. You can also contact the developers of <strong>555 Timer Pro 3 Key</strong> for feedback or support at <a href="mailto:[email protected]">[email protected]</a>.</p>
-<p>We hope that this article has been helpful and informative for you. If you are looking for a simple, low powered, and highly compatible software application for designing 555 timer circuits, we recommend you to try <strong>555 Timer Pro 3 Key</strong>. It will save you time and effort, and help you create amazing electronic projects with ease and accuracy.</p>
- <h2>FAQs</h2>
-<ul>
-<li><strong>What is the difference between 555 Timer Pro and 555 Timer Pro EX?</strong><br>
-555 Timer Pro is a standard version of the software that provides an array of design wizards, circuit blocks and information panels that facilitate the use of the 555 timer in projects. 555 Timer Pro EX is an extended version of the software that provides additional features such as advanced simulation options, custom component creation, component library management, project management, etc.</li>
-<li><strong>What are the system requirements for running 555 Timer Pro 3 Key?</strong><br>
-555 Timer Pro 3 Key runs on Windows operating systems. It is compatible with Windows Vista, Windows 7, Windows 8 and Windows 10. It requires a minimum of 512 MB RAM, 50 MB disk space and a screen resolution of 1024 x 768 pixels.</li>
-<li><strong>How much does 555 Timer Pro 3 Key cost and how can I get a license key?</strong><br>
-555 Timer Pro 3 Key costs $19.95 for a single user license. You can purchase it online from <a href="https://www.schematica.com/Purchase.htm">https://www.schematica.com/Purchase.htm</a>. After purchasing it, you will receive an email with your license key and instructions on how to activate it.</li>
-<li><strong>What are some other sources of information and tutorials on 555 timer circuits?</strong><br>
-Some other sources of information and tutorials on 555 timer circuits are: <ul>
-<li><a href="https://www.electronics-tutorials.ws/waveforms/555_timer.html">https://www.electronics-tutorials.ws/waveforms/555_timer.html</a></li>
-<li><a href="https://www.circuitbasics.com/555-timer-basics-astable-mode/">https://www.circuitbasics.com/555-timer-basics-astable-mode/</a></li>
-<li><a href="https://circuitdigest.com/tutorial/ne-555-related-circuits">https://circuitdigest.com/tutorial/ne-555-related-circuits</a></li>
-<li><a href="https://maker.pro/custom/projects/all-about-555-timer-ic-and-their-applications">https://maker.pro/custom/projects/all-about-555-timer-ic-and-their-applications</a></li>
-</ul></li>
-<li><strong>How can I contact the developers of 555 Timer Pro 3 Key for feedback or support?</strong><br>
-You can contact the developers of <strong>555 Timer Pro 3 Key</strong> for feedback or support at <a href="mailto:[email protected]">[email protected]</a>. You can also visit their website at <a href="https://www.schematica.com/">https://www.schematica.com/</a>.</li>
-</ul>
- </p> 0a6ba089eb<br />
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Contemporary Management 6th Edition PDF The Ultimate Reference for Understanding and Improving Your Management Performance.md

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-<h1>Contemporary Management 6th Edition PDF: A Review</h1>
- <p>Are you interested in learning more about contemporary management? Do you want to find out how managers can deal with the complex and dynamic challenges of today's business environment? If so, you might want to check out <strong>Essentials of Contemporary Management 6th edition</strong>, a popular textbook that covers the latest theories and practices of modern management. In this article, we will review this book and provide you with some information on how to access it in PDF format.</p>
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- <h2>What is contemporary management?</h2>
- <p>Before we dive into the book, let's first define what we mean by contemporary management. Contemporary management is a broad term that refers to the application of current management concepts and techniques to various organizational situations. It encompasses both the traditional functions of planning, organizing, leading, and controlling, as well as the emerging topics of ethics, diversity, globalization, innovation, sustainability, and social responsibility.</p>
- <h3>Definition and scope of contemporary management</h3>
- <p>According to Jones and George (2019), the authors of Essentials of Contemporary Management 6th edition, contemporary management is "the process of using managerial skills to work with people and resources to accomplish organizational goals" (p. 5). They argue that contemporary managers need to have three sets of skills: conceptual skills (the ability to analyze and diagnose complex situations), human skills (the ability to work well with others), and technical skills (the ability to perform specific tasks).</p>
- <p>The scope of contemporary management is very wide, as it covers all types of organizations (public, private, non-profit, etc.), all levels of management (top, middle, lower, etc.), all functional areas (marketing, finance, operations, etc.), and all industries (manufacturing, service, etc.). Moreover, contemporary management is influenced by various external factors, such as economic conditions, political forces, social trends, technological changes, environmental issues, and cultural diversity.</p>
- <h3>Key themes and challenges of contemporary management</h3>
- <p>One of the main themes of contemporary management is that managers need to be able to adapt to the changing needs and expectations of their stakeholders. Stakeholders are any individuals or groups who have an interest in or are affected by the activities and performance of an organization. They include stockholders, managers, employees, customers, suppliers, distributors, competitors, community members, society at large, and even future generations.</p>
- <p>Some of the key challenges that contemporary managers face are:</p>
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-<li>Managing ethics and social responsibility: Managers need to ensure that their actions and decisions are consistent with their personal values and the values of their organization and society. They also need to balance the interests of various stakeholders and contribute to the social welfare and environmental sustainability of their communities.</li>
-<li>Managing diversity: Managers need to respect and value the differences among people in terms of age, gender, race, ethnicity, religion, disability, sexual orientation, etc. They also need to leverage the diverse talents and perspectives of their workforce to enhance creativity and innovation.</li>
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-<li>Managing information technology: Managers need to use information technology (IT) as a strategic tool to improve their efficiency and effectiveness. They also need to cope with the challenges posed by IT, such as security risks, ethical dilemmas, communication barriers, etc.</li>
-<li>Managing innovation: Managers need to foster a culture of innovation where they encourage their employees to generate new ideas and solutions for existing or potential problems or opportunities. They also need to manage the process of innovation from idea generation to implementation.</li>
-<li>Managing change: Managers need to anticipate and respond to changes in their internal or external environment. They also need to implement change initiatives in a way that minimizes resistance and maximizes commitment from their employees.</li>
-</ul>
- <h2>What is the 6th edition of Essentials of Contemporary Management?</h2>
- <p>Now that we have a general idea of what contemporary management is about, let's take a closer look at the book that we are reviewing. Essentials of Contemporary Management 6th edition is a textbook that provides a concise and comprehensive overview of contemporary management theories and research.</p>
- <h3>Authors and background of the book</h3>
- <p>The authors of Essentials of Contemporary Management 6th edition are Gareth R. Jones and Jennifer M. George. Jones is a professor of management at Texas A&M University and an expert in strategic management and organizational theory. George is also a professor of management at Texas A&M University and a professor of psychology at Rice University and an expert in organizational behavior and human resource management.</p>
- <p>The book was first published in 2000 and has since been updated and revised several times to reflect the latest developments and trends in contemporary management. The 6th edition was published in 2019 by McGraw-Hill Education, a leading publisher of educational materials.</p>
- <h3>Main features and contents of the book</h3>
- <p>The main features of Essentials of Contemporary Management 6th edition are:</p>
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-<ul>
-<li>It is concise: The book has only 16 chapters and about 480 pages, making it suitable for a one-semester course or a self-study guide.</li>
-<li>It is comprehensive: The book covers all the major topics and concepts of contemporary management, from planning to controlling, from ethics to diversity, from globalization to innovation, etc.</li>
-<li>It is relevant: The book uses real-world examples from small, medium, and large companies to illustrate how contemporary managers apply the ideas and techniques of modern management.</li>
-<li>It is engaging: The book uses various pedagogical tools to enhance student learning and interest, such as learning objectives, key terms, summaries, review questions, exercises, cases, etc.</li>
-</ul>
- <p>The contents of Essentials of Contemporary Management 6th edition are organized into four parts:</p>
-<ol>
-<li><strong>The Management Process Today</strong>: This part introduces the definition, scope, skills, roles, and challenges of contemporary managers. It also discusses the history and evolution of management thought.</li>
-<li><strong>The Environment Of Management</strong>: This part examines the external factors that affect contemporary managers, such as ethics, social responsibility, diversity, globalization, information technology, etc.</li>
-<li><strong>Planning And Controlling</strong>: This part explores how contemporary managers plan for future actions and goals, as well as how they monitor and evaluate their performance. It also covers topics such as decision making, strategic management, organizational structure, organizational design, organizational culture, etc.</li>
-<li><strong>Organizing And Leading</strong>: This part analyzes how contemporary managers organize people and resources into effective teams and groups. It also covers topics such as motivation, leadership, communication, power, politics, conflict, negotiation, etc.</li>
-</ol>
- <h2>Why should you read Essentials Of Contemporary Management 6th edition?</h2>
- <p>If you are a student or a practitioner who wants to learn more about contemporary management or improve your managerial skills or knowledge then you should definitely read Essentials Of Contemporary Management 6th edition. Here are some reasons why:</p>
- <h3>Benefits And Advantages Of The Book</h3>
- <p>The benefits And Advantages Of Reading Essentials Of Contemporary Management 6th edition are:</p>
-<ul>
-<li>You will gain a solid foundation And understanding Of The core principles And concepts Of Contemporary Management And How They Apply To Various Organizational Situations And Problems.</li>
-<li>You will learn about The latest theories And research On Contemporary Management And How They Reflect The changing needs And expectations Of Stakeholders And Society.</li>
-<li>You will discover The best practices And techniques Of Contemporary Managers And How They Deal With The complex And dynamic challenges Of Today's Business Environment.</li>
-<h3>Benefits and advantages of the book</h3>
- <p>The benefits and advantages of reading Essentials of Contemporary Management 6th edition are:</p>
-<ul>
-<li>You will gain a solid foundation and understanding of the core principles and concepts of contemporary management and how they apply to various organizational situations and problems.</li>
-<li>You will learn about the latest theories and research on contemporary management and how they reflect the changing needs and expectations of stakeholders and society.</li>
-<li>You will discover the best practices and techniques of contemporary managers and how they deal with the complex and dynamic challenges of today's business environment.</li>
-<li>You will develop your managerial skills and competencies, such as conceptual, human, and technical skills, as well as ethical, social, global, and innovative mindsets.</li>
-<li>You will improve your critical thinking, problem-solving, decision-making, communication, and leadership abilities by engaging with real-world examples, exercises, cases, etc.</li>
-<li>You will enhance your personal and professional growth by reading a concise and comprehensive book that covers all the essential topics of contemporary management in a clear and engaging way.</li>
-</ul>
- <h3>Limitations and criticisms of the book</h3>
- <p>Despite its many benefits and advantages, Essentials of Contemporary Management 6th edition is not a perfect book. It has some limitations and criticisms that you should be aware of before reading it. Some of them are:</p>
-<ul>
-<li>It is not very original: The book does not offer any groundbreaking or novel insights or contributions to contemporary management theory or practice. It mainly summarizes and synthesizes existing knowledge from various sources.</li>
-<li>It is not very deep: The book does not provide a thorough or detailed analysis or discussion of some topics or issues that may require more attention or exploration. It tends to simplify or gloss over some complexities or controversies.</li>
-<li>It is not very diverse: The book does not include enough perspectives or voices from different cultures, regions, genders, races, etc. It tends to rely on examples from Western or North American contexts.</li>
-<li>It is not very updated: The book does not reflect some of the most recent developments or trends in contemporary management that may have emerged since its publication in 2019. It may become outdated or obsolete soon.</li>
-</ul>
- <h2>How can you access Essentials of Contemporary Management 6th edition PDF?</h2>
- <p>If you are interested in reading Essentials of Contemporary Management 6th edition, you may wonder how you can access it in PDF format. PDF stands for Portable Document Format, a file format that preserves the layout, fonts, graphics, etc. of a document regardless of the device or software used to view it. PDF files are convenient for reading online or offline, printing, sharing, etc.</p>
- <h3>Legal and ethical issues of downloading PDFs</h3>
- <p>However, before you download any PDF file from the internet, you should be aware of the legal and ethical issues involved. Downloading a PDF file of a book without paying for it or obtaining permission from the author or publisher is considered piracy or theft. It violates the intellectual property rights of the creators and distributors of the book. It also deprives them of their rightful income and recognition. Moreover, downloading a PDF file from an unauthorized or unverified source may expose you to malware or viruses that can harm your device or data.</p>
- <p>Therefore, you should always respect the law and the rights of others when accessing any PDF file online. You should only download a PDF file from a legitimate and trustworthy source that has obtained the consent or license from the author or publisher. You should also pay a fair price for the file if required. Alternatively, you can borrow a PDF file from a library or a friend who has legally purchased it.</p>
- <h3>Options and alternatives for accessing the book</h3>
- <p>you have some options and alternatives to consider. Some of them are:</p>
-<ul>
-<li>You can buy the book online or offline from a reputable seller. The book is available in both hardcover and paperback formats, as well as in e-book format. You can find the book on various platforms, such as Amazon, Google Play, Barnes & Noble, etc. The price may vary depending on the seller and the format.</li>
-<li>You can rent the book online or offline from a reliable provider. The book is available for rent on some platforms, such as Chegg, VitalSource, RedShelf, etc. The rental fee may vary depending on the provider and the duration.</li>
-<li>You can access the book online or offline from a legitimate source. The book is available for access on some platforms, such as McGraw-Hill Connect, McGraw-Hill SmartBook, etc. The access fee may vary depending on the platform and the subscription.</li>
-<li>You can borrow the book online or offline from a trustworthy library or a friend. The book may be available in some libraries, such as public libraries, university libraries, etc. You can check the availability and the borrowing terms on their websites or catalogs. Alternatively, you can ask a friend who has legally purchased the book if they are willing to lend it to you.</li>
-</ul>
- <h2>Conclusion</h2>
- <p>In conclusion, Essentials of Contemporary Management 6th edition is a concise and comprehensive textbook that covers the latest theories and practices of contemporary management. It is written by two experienced and respected authors who use real-world examples to illustrate how contemporary managers apply management concepts and techniques to various organizational situations and problems. The book has many benefits and advantages for readers who want to learn more about contemporary management or improve their managerial skills or knowledge. However, the book also has some limitations and criticisms that readers should be aware of before reading it. Moreover, readers who want to access the book in PDF format should be careful about the legal and ethical issues involved in downloading PDF files from the internet. They should only use legitimate and trustworthy sources that have obtained the consent or license from the author or publisher.</p>
- <h3>Summary of the main points</h3>
- <p>The main points of this article are:</p>
-<ul>
-<li>Contemporary management is a broad term that refers to the application of current management concepts and techniques to various organizational situations.</li>
-<li>Essentials of Contemporary Management 6th edition is a concise and comprehensive textbook that covers the latest theories and practices of contemporary management.</li>
-<li>The book has many benefits and advantages for readers who want to learn more about contemporary management or improve their managerial skills or knowledge.</li>
-<li>The book also has some limitations and criticisms that readers should be aware of before reading it.</li>
-<li>Readers who want to access the book in PDF format should be careful about the legal and ethical issues involved in downloading PDF files from the internet.</li>
-<li>They should only use legitimate and trustworthy sources that have obtained the consent or license from the author or publisher.</li>
-</ul>
- <h3>Recommendations and suggestions</h3>
- <p>Based on this article, we recommend that you:</p>
-<ul>
-<li>Read Essentials of Contemporary Management 6th edition if you are interested in learning more about contemporary management or improving your managerial skills or knowledge.</li>
-<li>Evaluate the book critically and compare it with other sources of information on contemporary management.</li>
-<li>Use legitimate and trustworthy sources to access the book in PDF format if you prefer that format over others.</li>
-<li>Respect the law and the rights of others when accessing any PDF file online.</li>
-</ul>
- # FAQs <code><pre>
-Q: Who are the authors of Essentials of Contemporary Management 6th edition? A: The authors are Gareth R. Jones and Jennifer M. George. Q: What are some of the key themes and challenges of contemporary management? A: Some of the key themes and challenges are ethics, social responsibility, diversity, globalization, information technology, innovation, and change. Q: What are some of the main features and contents of Essentials of Contemporary Management 6th edition? A: Some of the main features and contents are real-world examples, pedagogical tools, functional approach, integration of diversity, ethics, globalization, and information technology. Q: What are some of the benefits and advantages of reading Essentials of Contemporary Management 6th edition? the latest theories and research on contemporary management, discovering the best practices and techniques of contemporary managers, developing your managerial skills and competencies, improving your critical thinking, problem-solving, decision-making, communication, and leadership abilities, and enhancing your personal and professional growth. Q: What are some of the limitations and criticisms of Essentials of Contemporary Management 6th edition? A: Some of the limitations and criticisms are lack of originality, depth, diversity, and currency. Q: How can you access Essentials of Contemporary Management 6th edition in PDF format legally and ethically? A: You can access it by buying, renting, accessing, or borrowing it from a legitimate and trustworthy source that has obtained the consent or license from the author or publisher. </p> 0a6ba089eb<br />
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Download E Sound Afs We9 Terbaru The Best Way to Stream and Play Audio Tracks on SoundCloud.md

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-<h1>Download E Sound Afs We9 Terbaru: How to Update Your Soundtrack for Winning Eleven 9</h1>
- <p>Winning Eleven 9 is one of the most popular soccer games ever released. It has been praised for its realistic gameplay, graphics, and modes. However, one aspect that may seem outdated or boring for some players is the soundtrack. The original soundtrack of Winning Eleven 9 consists of only a few songs and commentary that may not match your taste or mood.</p>
- <p>If you are looking for a way to spice up your sound effects and make your game more lively and fun, then you should consider downloading E Sound Afs We9 Terbaru. This is a mod that replaces the original soundtrack of Winning Eleven 9 with new songs and commentary that are more diverse and exciting. In this article, we will explain what E Sound Afs We9 Terbaru is, why you should download it, how to download it, and what are some of the songs included in it.</p>
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- <h2>What is E Sound Afs We9 Terbaru?</h2>
- <h3>E Sound Afs We9 Terbaru is a mod that replaces the original soundtrack of Winning Eleven 9 with new songs and commentary</h3>
- <p>E Sound Afs We9 Terbaru is a mod that changes the sound effects of Winning Eleven 9 by replacing the original e_sound.afs file with a new one. The e_sound.afs file contains all the audio data of the game, such as music, commentary, crowd noise, etc. By changing this file, you can change the entire soundtrack of the game.</p>
- <h3>It is compatible with PES 5/WE9/WE9LE and can be installed easily with Kitserver</h3>
- <p>E Sound Afs We9 Terbaru is compatible with PES 5/WE9/WE9LE, which are different versions of Winning Eleven 9. PES 5 is the international version of Winning Eleven 9, while WE9LE is an updated version of WE9 that includes some new features and fixes. You can use E Sound Afs We9 Terbaru with any of these versions without any problems.</p>
- <p>To install E Sound Afs We9 Terbaru, you need to have Kitserver installed on your game folder. Kitserver is a tool that allows you to modify various aspects of the game without affecting the original files. You can use Kitserver to add new kits, stadiums, balls, faces, etc. You can also use it to add new sound effects with E Sound Afs We9 Terbaru.</p>
- <h3>It features songs from various genres and artists, such as rock, pop, hip hop, EDM, etc.</h3>
- <p>E Sound Afs We9 Terbaru features songs from various genres and artists that are popular and catchy. You can find songs from rock, pop, hip hop, EDM, etc. You can also find songs from different countries and regions, such as America, Europe, Asia, etc. You can enjoy listening to these songs while playing your matches or browsing the menus.</p>
- <h2>Why Download E Sound Afs We9 Terbaru?</h2>
- <h3>Downloading E Sound Afs We9 Terbaru can enhance your gaming experience by adding more variety and excitement to the sound effects</h3>
- <p>Downloading E Sound Afs We9 Terbaru can make your gaming experience more enjoyable and immersive by adding more variety and excitement to the sound effects. You can hear different songs and commentary that suit your mood and preferences. You can also hear songs that match the atmosphere and theme of the game.</p>
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- <h3>To download E Sound Afs We9 Terbaru, you need to have Kitserver installed on your game folder</h3>
- <p>To download E Sound Afs We9 Terbaru, you need to have Kitserver installed on your game folder first. If you don't have Kitserver yet, you can download it from Evo-Web forums or other sources. You need to extract Kitserver.zip file and copy the Kitserver folder to your game folder (usually C:\Program Files\KONAMI\Winning Eleven 9). Then you need to run setup.exe inside Kitserver folder and attach it to we8.exe (or pes5.exe or we8le.exe depending on your version).</p>
- <h3>You also need to have a backup of your original e_sound.afs file in case you want to restore it later</h3>
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- <h3>The mod also includes new commentary from various languages, such as English, Spanish, French, German, etc.</h3>
- <p>E Sound Afs We9 Terbaru also includes new commentary from various languages, such as English, Spanish, French, German, etc. You can hear different commentators and analysts that provide more realistic and diverse feedback on your matches. You can also choose the language that you prefer or that matches your team or league. You can change the language settings in the options menu of the game.</p>
- <h2>Conclusion</h2>
- <h3>Downloading E Sound Afs We9 Terbaru can be a great way to update your soundtrack for Winning Eleven 9 and enjoy a more immersive and diverse gaming experience</h3>
- <p>Downloading E Sound Afs We9 Terbaru can be a great way to update your soundtrack for Winning Eleven 9 and enjoy a more immersive and diverse gaming experience. You can hear new songs and commentary that are more varied and exciting than the original ones. You can also hear songs that are up-to-date and relevant to the current music trends and preferences. You can also hear songs that can help you discover new genres and artists that you may not have heard before.</p>
- <h3>It is easy to install and compatible with PES 5/WE9/WE9LE</h3>
- <p>It is easy to install and compatible with PES 5/WE9/WE9LE, which are different versions of Winning Eleven 9. You just need to have Kitserver installed on your game folder and download E Sound Afs We9 Terbaru from SoundCloud or Evo-Web forums. You then need to extract the downloaded file and copy the new e_sound.afs file to your Kitserver/dat folder. You then need to run the game and enjoy the new soundtrack.</p>
- <h3>It features songs from various genres and artists that are popular and catchy</h3>
- <p>It features songs from various genres and artists that are popular and catchy. You can find songs from rock, pop, hip hop, EDM, etc. You can also find songs from different countries and regions, such as America, Europe, Asia, etc. You can enjoy listening to these songs while playing your matches or browsing the menus.</p>
- <h3>It also includes new commentary from different languages that can suit your preferences</h3>
- <p>It also includes new commentary from different languages that can suit your preferences. You can hear different commentators and analysts that provide more realistic and diverse feedback on your matches. You can also choose the language that you prefer or that matches your team or league. You can change the language settings in the options menu of the game.</p>
- # FAQs - Q: What is E Sound Afs We9 Terbaru? - A: E Sound Afs We9 Terbaru is a mod that replaces the original soundtrack of Winning Eleven 9 with new songs and commentary. - Q: How to download E Sound Afs We9 Terbaru? - A: To download E Sound Afs We9 Terbaru, you need to have Kitserver installed on your game folder and download E Sound Afs We9 Terbaru from SoundCloud or Evo-Web forums. You then need to extract the downloaded file and copy the new e_sound.afs file to your Kitserver/dat folder. - Q: What are some of the songs included in E Sound Afs We9 Terbaru? Montero (Call Me By Your Name) by Lil Nas X, Stay by The Kid Laroi and Justin Bieber, Peaches by Justin Bieber feat. Daniel Caesar and Giveon, Butter by BTS, Save Your Tears by The Weeknd and Ariana Grande, Blinding Lights by The Weeknd, Dynamite by BTS, and Drivers License by Olivia Rodrigo. - Q: What are the benefits of downloading E Sound Afs We9 Terbaru? - A: Downloading E Sound Afs We9 Terbaru can enhance your gaming experience by adding more variety and excitement to the sound effects. It can also make your game more up-to-date and relevant to the current music trends and preferences. It can also help you discover new songs and artists that you may not have heard before. - Q: How to restore the original soundtrack of Winning Eleven 9? - A: To restore the original soundtrack of Winning Eleven 9, you need to copy your backup e_sound.afs file back to your Kitserver/dat folder. You need to overwrite the new e_sound.afs file with the original one. You then need to run the game and enjoy the original soundtrack. </p> 0a6ba089eb<br />
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Edius 7.5 Serial Number Free PATCHED 53l.md

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-<h1>Edius 7.5 Serial Number Free 53l: How to Get It and Why You Need It</h1>
-<p>If you are looking for a powerful and easy-to-use video editing software for your PC, you might have heard of Edius 7.5. This software is designed for professional video editors who want to create high-quality videos with fast and flexible workflows. But before you can enjoy the full features and benefits of this software, you need to have a valid serial number that allows you to activate and register your product online.</p>
-<p>In this article, we will explain what Edius 7.5 is, what a serial number is and why you need it, how to get a serial number for free, how to register your serial number online, and how to use Edius 7.5 software after registering it. We will also answer some frequently asked questions about this topic at the end of the article.</p>
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-<h2>What is Edius 7.5?</h2>
-<h3>A brief introduction to Edius 7.5 software</h3>
-<p>Edius 7.5 is a non-linear video editing software developed by Grass Valley, a company that specializes in providing solutions for broadcast and media industries. Edius 7.5 was released in September 2014 as an update to the previous version, Edius 7.</p>
-<p>Edius 7.5 supports various formats and codecs, such as AVCHD, XAVC, XAVC S, AVC-Ultra, MPEG-2, DVCPRO HD, JPEG2000, DNxHD, ProRes, RAW, RED R3D, Canon XF-AVC (import only), Sony XAVC (import only), Cinema DNG (import only), etc. It also supports resolutions up to 4 K resolution and 3D editing. It also has a multi-camera editing mode that allows you to edit up to 16 different sources simultaneously.</p>
-<p>Edius 7.5 is compatible with Windows 7, Windows 8, and Windows 10 operating systems. It requires a minimum of 1 GB RAM, 6 GB hard disk space, and a graphics card that supports Direct3D 9.0c or later. It also requires an internet connection for software license activation and validation.</p>
-<h3>The main features and benefits of Edius 7.5 software</h3>
-<p>Edius 7.5 software has many features and benefits that make it a popular choice among video editors. Some of the main features and benefits are:</p>
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-<h2>What is a serial number and why do you need it for Edius 7.5?</h2>
-<h3>The definition and function of a serial number</h3>
-<p>A serial number is a unique code that identifies a specific product or software. It is usually composed of letters and numbers, and it is often printed on the product packaging or the software installation disc. A serial number serves as a proof of purchase and ownership of the product or software.</p>
-<p>A serial number is also used to activate and register the product or software online. Activation is the process of verifying the authenticity and validity of the serial number. Registration is the process of creating an online account and providing personal information to the product or software manufacturer or provider.</p>
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-<h3>The advantages of having a valid and working serial number for Edius 7.5</h3>
-<p>If you have a valid and working serial number for Edius 7.5, you can enjoy the following advantages:</p>
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-</ul> <h2>How to get a serial number for Edius 7.5 for free?</h2>
-<h3>The legal and recommended way: buying it from the official website or authorized dealers</h3>
-<p>The legal and recommended way to get a serial number for Edius 7.5 is to buy it from the official website or authorized dealers. This way, you can ensure that you are getting a genuine and legitimate product that is compatible with your system and meets your expectations.</p>
-<p>To buy a serial number for Edius 7.5 from the official website, you need to visit <a href="">https://www.grassvalley.com/products/edius_pro_7/</a> and click on the "Buy Now" button. You will be redirected to a secure online store where you can choose your preferred payment method and currency. You will also need to provide your personal and billing information, such as your name, email address, phone number, country, etc. After completing the payment process, you will receive an email confirmation with your serial number and download link for Edius 7.5 software.</p>
-<p>To buy a serial number for Edius 7.5 from authorized dealers, you need to find a local or online retailer that sells Grass Valley products in your region. You can use the <a href="">https://www.grassvalley.com/sales/</a> page to locate the nearest dealer in your area. You will need to contact the dealer and inquire about the availability and price of Edius 7.5 software. You will also need to provide your personal and billing information, such as your name, email address, phone number, country, etc. After completing the payment process, you will receive an email confirmation with your serial number and download link for Edius 7.5 software.</p>
-<h3>The risky and not recommended way: finding it for free online from unreliable sources</h3>
-<p>The risky and not recommended way to get a serial number for Edius 7.5 is to find it for free online from unreliable sources. This way, you may end up with a fake or invalid product that may harm your system or compromise your security.</p>
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-<li>Crack websites: These are websites that offer cracked or hacked versions of software that bypass the activation and registration processes. These websites may contain viruses, malware, spyware, or ransomware that can infect your system and steal your data.</li>
-<li>Keygen programs: These are programs that generate random serial numbers for software that may or may not work. These programs may also contain viruses, malware, spyware, or ransomware that can infect your system and steal your data.</li>
-<li>Torrent websites: These are websites that allow users to share files through peer-to-peer networks. These websites may contain fake or corrupted files that can damage your system or expose you to legal risks.</li>
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-<p>Some of the common risks and disadvantages of using free serial numbers for Edius 7.5 are:</p>
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-<li>You may not be able to activate or register your Edius 7.5 software online because the serial number may be already used by someone else or blocked by Grass Valley.</li>
-<li>You may not be able to use Edius 7.5 software without any time limit or watermark on your videos because the serial number may be expired or invalid.</li>
-<li>You may not be able to access all the features and functions of Edius 7.5 software because the serial number may be incompatible or incomplete.</li>
-<li>You may not be able to receive free updates and upgrades for Edius 7.5 software because the serial number may not be eligible or supported by Grass Valley.</li>
-<li>You may not be able to get technical support and customer service from Grass Valley because the serial number may not be recognized or verified by Grass Valley.</li>
-<li>You may face legal consequences if you are caught using a pirated or illegal version of Edius 7.5 software because it violates the intellectual property rights of Grass Valley.</li>
-</ul> are some of the basic functions and operations of Edius 7.5 software:</p>
-<ul>
-<li>Importing videos: You can import videos from various sources, such as your computer, camera, external drive, etc. by using the "File" menu or the "Bin" window. You can also drag and drop files from your Windows Explorer to the "Bin" window.</li>
-<li>Organizing videos: You can organize your videos in the "Bin" window by creating folders, subfolders, bins, and sequences. You can also rename, delete, move, copy, or sort your videos in the "Bin" window.</li>
-<li>Editing videos: You can edit your videos in the "Timeline" window by using the "Source" and "Record" monitors. You can also use the "Tool Palette" to access various editing tools, such as trim, cut, split, ripple, slip, slide, etc.</li>
-<li>Adding effects: You can add effects to your videos in the "Effect Palette" window by using the "Effect List" and the "Information" panels. You can also drag and drop effects from the "Effect Palette" to the "Timeline" or the "Record" monitor.</li>
-<li>Adjusting settings: You can adjust the settings of your videos in the "Information" panel by using the tabs for video, audio, layouter, motion tracker, etc. You can also use keyframes to animate your settings over time.</li>
-<li>Exporting videos: You can export your videos from the "File" menu or the "Print to File" window. You can choose from various formats and presets, such as AVI, MPEG-2, H.264, QuickTime, etc. You can also customize your export settings, such as resolution, frame rate, bitrate, etc.</li>
-</ul>
-<h3>The tips and tricks on how to optimize your video editing experience with Edius 7.5 software</h3>
-<p>Here are some tips and tricks on how to optimize your video editing experience with Edius 7.5 software:</p>
-<ul>
-<li>Use keyboard shortcuts: You can use keyboard shortcuts to perform common tasks faster and easier. You can find a list of keyboard shortcuts in the "Help" menu or the user manual.</li>
-<li>Use proxy mode: You can use proxy mode to edit high-resolution videos on low-specification computers by using low-resolution files as proxies. You can enable proxy mode in the "Settings" menu or the "Project Settings" window.</li>
-<li>Use multicam mode: You can use multicam mode to edit multiple camera angles simultaneously by using the "Multicam Mode" button or the "Multicam Sequence Settings" window. You can also use the "Sync Points" feature to synchronize your clips by timecode, audio waveform, or markers.</li>
-<li>Use batch export: You can use batch export to export multiple sequences or clips at once by using the "Batch Exporter" tool or the "Batch Export Settings" window. You can also use the "Watch Folder" feature to automatically export files that are added to a specific folder.</li>
-<li>Use online resources: You can use online resources to learn more about Edius 7.5 software and get help from other users. You can visit the official website <a href="">https://www.grassvalley.com/products/edius_pro_7/</a>, the user forum <a href="">https://forum.grassvalley.com/forum/</a>, or the YouTube channel <a href="">https://www.youtube.com/user/EDIUSNET</a>.</li>
-</ul>
-<h2>Conclusion</h2>
-<p>In conclusion, Edius 7.5 is a powerful and easy-to-use video editing software that offers fast and flexible workflows and supports various formats and codecs. To use Edius 7.5 software, you need to have a valid serial number that allows you to activate and register your product online. The legal and recommended way to get a serial number is to buy it from the official website or authorized dealers. The risky and not recommended way is to find it for free online from unreliable sources. Once you have a serial number, you need to register it online by following a simple step-by-step guide. After registering your serial number, you can start using Edius 7.5 software by following some basic functions and operations. You can also optimize your video editing experience by following some tips and tricks.</p>
-<h2>FAQs</h2>
-<p>Here are some frequently asked questions about Edius 7.5 serial number free 53l:</p>
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-<li><b>Q: How much does Edius 7.5 software cost?</b></li>
-<li>A: The price of Edius 7.5 software depends on your region and currency. You can check the current price on the official website <a href href="">https://www.grassvalley.com/products/edius_pro_7/</a> or contact your local or online dealer.</li>
-<li><b>Q: How long does the serial number last?</b></li>
-<li>A: The serial number lasts for as long as Edius 7.5 software is supported by Grass Valley. You can use it to activate and register your product online and receive free updates and upgrades. However, you can only use it on one computer at a time. If you want to use it on another computer, you need to deactivate it on the previous computer first.</li>
-<li><b>Q: How can I deactivate my serial number?</b></li>
-<li>A: You can deactivate your serial number by using the "Deactivate" button in the "License Manager" tool or the "Help" menu in Edius 7.5 software. You can also deactivate your serial number online by logging in to your account and clicking on the "Deactivate" button next to your product.</li>
-<li><b>Q: What if I lose or forget my serial number?</b></li>
-<li>A: If you lose or forget your serial number, you can retrieve it by contacting Grass Valley support and providing proof of purchase and personal information. You can also find it in your email confirmation or on the product packaging or installation disc if you bought it from the official website or authorized dealers.</li>
-<li><b>Q: What if I have more questions or problems with Edius 7.5 software or serial number?</b></li>
-<li>A: If you have more questions or problems with Edius 7.5 software or serial number, you can contact Grass Valley support by using the "Support" menu in Edius 7.5 software or visiting the official website <a href="">https://www.grassvalley.com/support/</a>. You can also visit the user forum <a href="">https://forum.grassvalley.com/forum/</a> or the YouTube channel <a href="">https://www.youtube.com/user/EDIUSNET</a> for more information and help from other users.</li>
-</ol>
-<p>I hope this article has helped you understand Edius 7.5 serial number free 53l and how to use it. Thank you for reading and happy editing!</p> b2dd77e56b<br />
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-<h1>How to Download and Install APK Files on Your Android Device</h1>
-<p>If you have an Android device, you might have heard the term APK and wondered what it means. While you can use Android without ever learning the meaning of APK, studying a bit will help you understand and appreciate the platform further.</p>
-<p>Let's look at what an APK file is and why it's important to Android.</p>
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- <h2>What is an APK file and why would you want to use one?</h2>
-<p>APK stands for Android Package (sometimes Android Package Kit or Android Application Package). It's the file format that Android uses to distribute and install apps. As a result, an APK contains all the elements that an app needs to install correctly on your device.</p>
-<p>An APK is an archive file, meaning that it contains multiple files, plus some metadata about them. You're probably familiar with other types of archive files, like ZIP and RAR. Generally, archive files (like ZIP) are used to combine multiple files into one, in order to make them more portable or compress them to save space.</p>
-<p>When an archive is used to distribute software, it's then called a software package. As it turns out, APKs are a variant of the JAR (Java Archive) file format, since a lot of Android is built in Java. All APKs are ZIP files at their core, but they must contain additional information to properly function as an APK.</p>
-<p>So all APKs are ZIPs, but not all ZIPs are APKs. If you're curious, you can crack open an APK file and see what's inside. Just use a file extraction tool like 7-Zip to open it like you would any old ZIP file. You can't do much with APKs on platforms other than Android, unless you install an Android emulator like Bluestacks.</p>
-<p>APK files allow you to install apps on your Android phone. They're similar to the APPX files used to install Store apps on Windows, as well as corresponding package files on other platforms. When you open an APK on your device, it contains the instructions to install the app on your phone and provides information about the package itself to your device.</p>
-<p>Normally, when you visit Google Play to download or update an app, the store automatically installs the APK for you. In this way, the Play Store also acts as a package manager—a tool for easily installing, updating, and removing software on a device.</p>
-<p>However, due to Android's open nature, Google Play is not the only way to find and install APKs. It's easy to obtain an APK file from elsewhere, move it to your device, and install it manually. See how to sideload apps on Android for a full guide.</p>
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-<p>The easiest way to find and download an APK file is to use your web browser on your Android device or computer. There are many websites that offer free or paid APK files for various apps and games. However, not all of them are trustworthy or legal.</p>
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-<p>Once you have downloaded an APK file from a trusted source, you need to install it on your Android device. However, before you can do that, you need to enable the option to install apps from unknown sources. This is a security measure that prevents malicious apps from harming your device or data.</p>
-<p>To enable unknown sources, you need to access the settings app and look for the security or privacy option. Depending on your device, you may need to tap on the lock screen and security tab or the install unknown apps switch. Then, you need to turn on the unknown sources switch or check the box next to it. You may see a warning message against enabling this option, but you can ignore it if you trust the source of the APK file .</p>
-<p>After enabling unknown sources, you need to use a file manager app to locate and open the APK file. A file manager app is a tool that lets you browse and manage the files and folders on your device. You may already have one pre-installed on your device, such as File Manager, My Files, File Browser, or File Explorer. If not, you can download one from the Google Play Store or other sources  .</p>
-<p>To use a file manager app, open it and navigate to the folder where you saved the APK file. It may be in the Downloads folder or another location depending on your browser settings. Once you find the APK file, tap on it to start the installation process. You may see a confirmation screen asking you to allow the installation of the app. Tap on Install and wait for the installation to finish. You may also see some permissions that the app requires to function properly. You can review them and decide whether to grant them or not.</p>
-<p>When the installation is complete, you can open the app from your app drawer or home screen. You can also uninstall it from the settings app if you no longer need it.</p>
- <h2>Benefits of using APK files</h2>
-<p>Using APK files has some advantages for Android users. Here are some of them:</p>
-<ul>
-<li>You can access apps that are not available on the Google Play Store for various reasons, such as regional restrictions, compatibility issues, or developer preferences.</li>
-<li>You can get early access to new features and updates of apps before they are officially released on the Google Play Store.</li>
-<li>You can bypass carrier restrictions and get the latest Google updates without waiting for them to roll out over-the-air.</li>
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-<li>You can backup and restore your apps and data using APK files in case of device loss or damage.</li>
-</ul>
- <h2>Risks of using APK files</h2>
-<p>Using APK files also comes with some risks and challenges that you should be aware of. Here are some of them:</p>
-<ul>
-<li>Malware: APK files can be infected with malware that can harm your device or steal your data. Malware can also hide in fake or modified versions of legitimate apps .</li>
-<li>Compatibility: APK files may not be compatible with your device or the latest version of the app. This can cause errors, crashes, or performance issues .</li>
-<li>Updates: APK files are not updated as frequently as the official versions of apps, which may cause bugs or security issues. You may also miss out on new features and improvements .</li>
-<li>Legality: APK files may contain stolen, pirated, or illegal software, which could lead to legal trouble. You may also violate the terms and conditions of the app developers or service providers by using unauthorized versions of their apps .</li>
-<li>Support: APK files may not have official support from the app developers or service providers. This means you may not get help or feedback if you encounter any problems or have any questions about using their apps .</li>
-</ul>
- <h2>Conclusion</h2>
-<p>APK files are an essential part of Android's ecosystem that allow users to install apps from various sources other than Google Play Store. They offer some benefits such as accessing unavailable apps, getting early updates, bypassing carrier restrictions, customizing devices, and backing up data. However, they also pose some risks such as malware infection, compatibility issues, update delays, legal trouble, and lack of support.</p>
-<p>To use APK files safely and wisely, you should follow these tips:</p>
-<ul> <li>Only download APK files from reputable and verified sources that scan and check the files for malware and authenticity.</li>
-<li>Enable unknown sources only when you need to install an APK file, and disable it afterwards. This will prevent accidental or unauthorized installations of apps from unknown sources.</li>
-<li>Check the permissions and information of the APK file before installing it. Make sure they match the app's functionality and purpose, and avoid granting unnecessary or suspicious permissions.</li>
-<li>Keep your device and apps updated to the latest versions. This will ensure optimal performance, security, and compatibility of your apps.</li>
-<li>Respect the rights and wishes of the app developers and service providers. Do not use APK files to access or distribute illegal, pirated, or stolen software, or to violate their terms and conditions.</li>
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-<p>By following these tips, you can enjoy the benefits of APK files without compromising your device's safety or your own privacy. APK files are a great way to explore the vast and diverse world of Android apps, but they also require some caution and responsibility.</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions and answers about APK files:</p>
-<h3>What does APK stand for?</h3>
-<p>APK stands for Android Package (sometimes Android Package Kit or Android Application Package). It's the file format that Android uses to distribute and install apps.</p>
-<h3>How do I open an APK file?</h3>
-<p>To open an APK file on your Android device, you need to enable unknown sources in your settings app, use a file manager app to locate and tap on the APK file, and follow the installation instructions. To open an APK file on your computer, you need to use a file extraction tool like 7-Zip or an Android emulator like Bluestacks.</p>
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-<p>APK files can be safe or unsafe depending on their source and content. You should only download APK files from reputable and verified sources that scan and check the files for malware and authenticity. You should also check the permissions and information of the APK file before installing it, and avoid granting unnecessary or suspicious permissions.</p>
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-<p>If you are a fan of first-person shooter (FPS) games, you have probably heard of Call of Duty, one of the most successful and influential game franchises in the world. But did you know that there is a special version of Call of Duty for mobile devices that is exclusively made for Vietnamese players? It's called Call of Duty: Mobile VN, and it's a game that you don't want to miss. In this article, we will tell you everything you need to know about this amazing game, from its features, gameplay, download instructions, to its benefits. Let's get started!</p>
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-<p>Call of Duty: Mobile VN is a mobile FPS game that is developed by Tencent and Activision, the same companies behind the original Call of Duty series. It is based on the global version of Call of Duty: Mobile, but it has some unique features and optimizations for Vietnamese players. It is published by VNG, a leading game company in Vietnam.</p>
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-<p>If you are looking for a more thrilling and immersive FPS experience, you should try the battle royale mode in Call of Duty: Mobile VN. In this mode, you can join up to 100 players in a massive map that is filled with weapons, items, vehicles, and enemies. You can choose to play solo, duo, or squad, and parachute into your preferred location. You can also choose your class before each match, such as medic, scout, ninja, defender, mechanic, or hacker. Each class has its own special skill and ability that can give you an edge in the battlefield. You can also find and use military vehicles such as helicopters, tanks, ATVs, or boats to traverse the map faster and easier. You can also find and use special weapons such as rocket launchers, flamethrowers, miniguns, or grenade launchers to deal more damage and chaos. The battle royale mode is a test of your survival skills and strategy as you have to fight against other players and the shrinking zone.</p>
- <h2>How to download and play Call of Duty: Mobile VN?</h2>
-<p>If you are interested in playing Call of Duty: Mobile VN, you will be glad to know that it is very easy to download and play. Here are the steps:</p>
- <h3>Available on Google Play and App Store</h3>
-<p>The game is available for both Android and iOS devices. You can download it for free from Google Play or App Store by searching for "Call of Duty: Mobile VN" or by scanning the QR code below:</p>
- <table>
-<tr>
-<td><img src="https://play.google.com/intl/en_us/badges/static/images/badges/en_badge_web_generic.png" alt="Get it on Google Play" width="200"></td>
-<td><img src="https://tools.applemediaservices.com/api/badges/download-on-the-app-store/black/en-us?size=250x83&amp;releaseDate=1626307200&h=1c9f8a4b0c0d5f6a8b4f9d7a9e4c7f1e" alt="Download on the App Store" width="200"></td>
-</tr>
-<tr>
-<td><img src="https://chart.googleapis.com/chart?chs=150x150&cht=qr&chl=https://play.google.com/store/apps/details?id=com.vng.codmvn&choe=UTF-8" alt="QR code for Google Play" width="150"></td>
-<td><img src="https://chart.googleapis.com/chart?chs=150x150&cht=qr&chl=https://apps.apple.com/vn/app/call-of-duty-mobile-vn/id1476926207&choe=UTF-8" alt="QR code for App Store" width="150"></td>
-</tr>
-</table>
- <h3>Compatible with most devices</h3>
-<p>The game is compatible with most devices that have Android 4.3 or higher or iOS 9.0 or higher. However, for the best gaming experience, it is recommended that you have at least 2 GB of RAM and 4 GB of free storage space on your device.</p>
- <h3>Smooth and lag-free performance</h3>
-<p>The game has been optimized by VNG to run smoothly and lag-free on most devices, even low-end ones. You can adjust the graphics settings and the frame rate according to your device's capabilities. You can also choose to play on local servers to reduce the ping and latency. The game also has anti-cheat and anti-hack systems to ensure fair and balanced gameplay for everyone.</p>
- <h2>Why should you play Call of Duty: Mobile VN?</h2>
-<p>There are many reasons why you should play Call of Duty: Mobile VN, but here are some of the main ones:</p>
- <h3>A faithful adaptation of the Call of Duty franchise on mobile</h3>
-<p>If you are a fan of the Call of Duty franchise, you will love Call of Duty: Mobile VN. The game has captured the essence and the spirit of the original series, but also added some new and innovative features for mobile devices. You can relive the classic moments and the epic stories from the Call of Duty universe, or create your own with your friends and other players. You can also enjoy the authentic and realistic FPS gameplay that has made Call of Duty one of the best games in the genre.</p>
- <h3>A competitive and immersive FPS experience</h3>
-<p>If you are looking for a challenge and a thrill, you will find it in Call of Duty: Mobile VN. The game has a competitive and immersive FPS experience that will test your skills and strategy. You can compete with other players in ranked matches and seasonal events, or join clans and tournaments to win prizes and glory. You can also immerse yourself in the battle royale mode, where you have to survive against 99 other players in a massive map. You can also customize your weapons and characters to suit your playstyle and preferences.</p>
- <h3>A supportive and active community of players</h3>
-<p>If you are looking for a friendly and fun community of players, you will find it in Call of Duty: Mobile VN. The game has a supportive and active community of players who share the same passion and love for the game. You can chat with other players in the game or on social media platforms, or join fan pages and groups to get updates, tips, news, and events. You can also watch livestreams and videos from famous streamers and celebrities who play the game, or become one yourself by sharing your gameplay and highlights. You can also get help and support from VNG's customer service team, who are always ready to assist you with any issues or questions.</p>
- <h2>Conclusion</h2>
-<p>Call of Duty: Mobile VN is a game that you should not miss if you are a fan of FPS games or mobile games in general. It is a game that offers stunning graphics, legendary gameplay, customizable weapons and characters, battle royale mode, smooth performance, faithful adaptation, competitive experience, and supportive community. It is a game that will keep you entertained and engaged for hours and hours. So what are you waiting for? Download Call of Duty: Mobile VN today and join the ultimate FPS experience on mobile!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Call of Duty: Mobile VN:</p>
- <h4>Q: Is Call of Duty: Mobile VN free to play?</h4>
-<p>A: Yes, Call of Duty: Mobile VN is free to play. You can download it from Google Play or App Store without paying anything. However, the game also has some optional in-app purchases that can enhance your gaming experience, such as weapon skins, character outfits, battle passes, crates, cod points, etc.</p>
- <h4>Q: Is Call of Duty: Mobile VN different from Call of Duty: Mobile?</h4>
-<p>A: Yes, Call of Duty: Mobile VN is different from Call of Duty: Mobile in some ways. Call of Duty: Mobile VN is a version that is exclusively made for Vietnamese players by VNG. It has some unique features and optimizations that are not available in the global version, such as Vietnamese voice-over, local servers, seasonal rewards, tournaments, livestreams, fan pages, customer service, etc.</p>
- <h4>Q: How can I play with my friends in Call of Duty: Mobile VN?</h4>
-<p>A: You can play with your friends in Call of Duty: Mobile VN by adding them as friends in the game. You can do this by tapping on the friends icon on the top right corner of the main screen, then tapping on the add friends icon on the bottom right corner. You can then search for your friends by their username or ID number, or scan their QR code. Once you have added them as friends, you can invite them to join your lobby or join theirs by tapping on their name on the friends list.</p>
- <h4>Q: How can I get more weapons and characters in Call of Duty: Mobile VN?</h4>
-<p>A: You can get more weapons and characters in Call of Duty: Mobile VN by playing the game regularly and completing missions and challenges. You can also get more weapons and characters by opening crates and lucky draws that are available in the game. You can also get more weapons and characters by buying them with cod points or real money in the game's store.</p>
- <h4>Q: How can I improve my skills and rank in Call of Duty: Mobile VN?</h4>
-<p>A: You can improve your skills and rank in Call of Duty: Mobile VN by practicing and learning from other players. You can watch tutorials and tips videos on YouTube or other platforms, or watch livestreams and replays of pro players and streamers. You can also join clans and groups that can help you improve your teamwork and strategy. You can also play ranked matches and seasonal events that can challenge you and reward you with exclusive items and titles.</p>
- <h4>Q: How can I contact VNG's customer service team if I have any issues or questions?</h4>
-<p>A: You can contact VNG's customer service team if you have any issues or questions by using the in-game feedback system. You can access it by tapping on the settings icon on the top right corner of the main screen, then tapping on the feedback icon on the bottom left corner. You can then choose the type of your issue or question, such as account, payment, bug, suggestion, etc., and fill in the details and attach screenshots if necessary. You can also contact VNG's customer service team by sending an email to [email protected], or by calling their hotline at 1900 561 558.</p> 197e85843d<br />
-<br />
-<br />

spaces/801artistry/RVC801/mdx_processing_script.py

@@ -1,146 +0,0 @@
-import gc
-import requests
-import subprocess
-import logging
-import sys
-from bs4 import BeautifulSoup
-import torch, pdb, os, warnings, librosa
-import soundfile as sf
-from tqdm import tqdm
-import numpy as np
-import torch
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-import mdx
-branch = "https://github.com/NaJeongMo/Colab-for-MDX_B"
-
-model_params = "https://raw.githubusercontent.com/TRvlvr/application_data/main/mdx_model_data/model_data.json"
-_Models = "https://github.com/TRvlvr/model_repo/releases/download/all_public_uvr_models/"
-# _models = "https://pastebin.com/raw/jBzYB8vz"
-_models = "https://raw.githubusercontent.com/TRvlvr/application_data/main/filelists/download_checks.json"
-stem_naming = "https://pastebin.com/raw/mpH4hRcF"
-
-file_folder = "Colab-for-MDX_B"
-model_ids = requests.get(_models).json()
-model_ids = model_ids["mdx_download_list"].values()
-#print(model_ids)
-model_params = requests.get(model_params).json()
-stem_naming = requests.get(stem_naming).json()
-
-os.makedirs("tmp_models", exist_ok=True)
-
-warnings.filterwarnings("ignore")
-cpu = torch.device("cpu")
-if torch.cuda.is_available():
-    device = torch.device("cuda:0")
-elif torch.backends.mps.is_available():
-    device = torch.device("mps")
-else:
-    device = torch.device("cpu")
-
-
-def get_model_list():
-    return model_ids
-
-def id_to_ptm(mkey):
-    if mkey in model_ids:
-        mpath = f"{now_dir}/tmp_models/{mkey}"
-        if not os.path.exists(f'{now_dir}/tmp_models/{mkey}'):
-            print('Downloading model...',end=' ')
-            subprocess.run(
-                ["wget", _Models+mkey, "-O", mpath]
-            )
-            print(f'saved to {mpath}')
-            # get_ipython().system(f'gdown {model_id} -O /content/tmp_models/{mkey}')
-            return mpath
-        else:
-            return mpath
-    else:
-        mpath = f'models/{mkey}'
-        return mpath
-
-def prepare_mdx(onnx,custom_param=False, dim_f=None, dim_t=None, n_fft=None, stem_name=None, compensation=None):
-    device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
-    if custom_param:
-        assert not (dim_f is None or dim_t is None or n_fft is None or compensation is None), 'Custom parameter selected, but incomplete parameters are provided.'
-        mdx_model = mdx.MDX_Model(
-            device,
-            dim_f = dim_f,
-            dim_t = dim_t,
-            n_fft = n_fft,
-            stem_name=stem_name,
-            compensation=compensation
-        )
-    else:
-        model_hash = mdx.MDX.get_hash(onnx)
-        if model_hash in model_params:
-            mp = model_params.get(model_hash)
-            mdx_model = mdx.MDX_Model(
-                device,
-                dim_f = mp["mdx_dim_f_set"],
-                dim_t = 2**mp["mdx_dim_t_set"],
-                n_fft = mp["mdx_n_fft_scale_set"],
-                stem_name=mp["primary_stem"],
-                compensation=compensation if not custom_param and compensation is not None else mp["compensate"]
-            )
-    return mdx_model
-
-def run_mdx(onnx, mdx_model,filename, output_format='wav',diff=False,suffix=None,diff_suffix=None, denoise=False, m_threads=2):
-    mdx_sess = mdx.MDX(onnx,mdx_model)
-    print(f"Processing: {filename}")
-    if filename.lower().endswith('.wav'):
-        wave, sr = librosa.load(filename, mono=False, sr=44100)
-    else:
-        temp_wav = 'temp_audio.wav'
-        subprocess.run(['ffmpeg', '-i', filename, '-ar', '44100', '-ac', '2', temp_wav])  # Convert to WAV format
-        wave, sr = librosa.load(temp_wav, mono=False, sr=44100)
-        os.remove(temp_wav)
-    
-    #wave, sr = librosa.load(filename,mono=False, sr=44100)
-    # normalizing input wave gives better output
-    peak = max(np.max(wave), abs(np.min(wave)))
-    wave /= peak
-    if denoise:
-        wave_processed = -(mdx_sess.process_wave(-wave, m_threads)) + (mdx_sess.process_wave(wave, m_threads))
-        wave_processed *= 0.5
-    else:
-        wave_processed = mdx_sess.process_wave(wave, m_threads)
-    # return to previous peak
-    wave_processed *= peak
-
-    stem_name = mdx_model.stem_name if suffix is None else suffix # use suffix if provided
-    save_path = os.path.basename(os.path.splitext(filename)[0])
-    #vocals_save_path = os.path.join(vocals_folder, f"{save_path}_{stem_name}.{output_format}")
-    #instrumental_save_path = os.path.join(instrumental_folder, f"{save_path}_{stem_name}.{output_format}")
-    save_path = f"{os.path.basename(os.path.splitext(filename)[0])}_{stem_name}.{output_format}"
-    save_path = os.path.join(
-            'audios',
-            save_path
-        )
-    sf.write(
-        save_path,
-        wave_processed.T,
-        sr
-    )
-
-    print(f'done, saved to: {save_path}')
-
-    if diff:
-        diff_stem_name = stem_naming.get(stem_name) if diff_suffix is None else diff_suffix # use suffix if provided
-        stem_name = f"{stem_name}_diff" if diff_stem_name is None else diff_stem_name
-        save_path = f"{os.path.basename(os.path.splitext(filename)[0])}_{stem_name}.{output_format}"
-        save_path = os.path.join(
-                'audio-others',
-                save_path
-            )
-        sf.write(
-            save_path,
-            (-wave_processed.T*mdx_model.compensation)+wave.T,
-            sr
-        )
-        print(f'invert done, saved to: {save_path}')
-    del mdx_sess, wave_processed, wave
-    gc.collect()
-
-if __name__ == "__main__":
-    print()

spaces/AI-Hobbyist/Hoyo-RVC/docs/README.en.md

@@ -1,110 +0,0 @@
-<div align="center">
-
-<h1>Retrieval-based-Voice-Conversion-WebUI</h1>
-An easy-to-use Voice Conversion framework based on VITS.<br><br>
-
-[![madewithlove](https://forthebadge.com/images/badges/built-with-love.svg)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
-  
-<img src="https://counter.seku.su/cmoe?name=rvc&theme=r34" /><br>
-  
-[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
-[![Licence](https://img.shields.io/github/license/liujing04/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
-[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-yellow.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
-
-[![Discord](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk)
-
-</div>
-
-------
-[**Changelog**](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Changelog_CN.md) | [**FAQ (Frequently Asked Questions)**](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions)) 
-
-[**English**](./README.en.md) | [**中文简体**](../README.md) | [**日本語**](./README.ja.md) | [**한국어**](./README.ko.md) ([**韓國語**](./README.ko.han.md))
-
-
-Check our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
-
-Realtime Voice Conversion Software using RVC : [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
-
-> A online demo using RVC that convert Vocal to Acoustic Guitar audio：https://huggingface.co/spaces/lj1995/vocal2guitar
-
-> Vocal2Guitar demo video：https://www.bilibili.com/video/BV19W4y1D7tT/
-
-> The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset.
-
-> High quality licensed song datasets will be added to training-set one after another for your use, without worrying about copyright infringement.
-
-## Summary
-This repository has the following features:
-+ Reduce tone leakage by replacing source feature to training-set feature using top1 retrieval;
-+ Easy and fast training, even on relatively poor graphics cards;
-+ Training with a small amount of data also obtains relatively good results (>=10min low noise speech recommended);
-+ Supporting model fusion to change timbres (using ckpt processing tab->ckpt merge);
-+ Easy-to-use Webui interface;
-+ Use the UVR5 model to quickly separate vocals and instruments.
-## Preparing the environment
-We recommend you install the dependencies through poetry.
-
-The following commands need to be executed in the environment of Python version 3.8 or higher:
-```bash
-# Install PyTorch-related core dependencies, skip if installed
-# Reference: https://pytorch.org/get-started/locally/
-pip install torch torchvision torchaudio
-
-#For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/issues/21
-#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
-
-# Install the Poetry dependency management tool, skip if installed
-# Reference: https://python-poetry.org/docs/#installation
-curl -sSL https://install.python-poetry.org | python3 -
-
-# Install the project dependencies
-poetry install
-```
-You can also use pip to install the dependencies
-
-```bash
-pip install -r requirements.txt
-```
-
-## Preparation of other Pre-models
-RVC requires other pre-models to infer and train.
-
-You need to download them from our [Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/).
-
-Here's a list of Pre-models and other files that RVC needs:
-```bash
-hubert_base.pt
-
-./pretrained 
-
-./uvr5_weights
-
-If you want to test the v2 version model (the v2 version model has changed the input from the 256 dimensional feature of 9-layer Hubert+final_proj to the 768 dimensional feature of 12-layer Hubert, and has added 3 period discriminators), you will need to download additional features
-
-./pretrained_v2
-
-#If you are using Windows, you may also need this dictionary, skip if FFmpeg is installed
-ffmpeg.exe
-```
-Then use this command to start Webui:
-```bash
-python infer-web.py
-```
-If you are using Windows, you can download and extract `RVC-beta.7z` to use RVC directly and use `go-web.bat` to start Webui.
-
-There's also a tutorial on RVC in Chinese and you can check it out if needed.
-
-## Credits
-+ [ContentVec](https://github.com/auspicious3000/contentvec/)
-+ [VITS](https://github.com/jaywalnut310/vits)
-+ [HIFIGAN](https://github.com/jik876/hifi-gan)
-+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
-+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
-+ [audio-slicer](https://github.com/openvpi/audio-slicer)
-## Thanks to all contributors for their efforts
-
-<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
-  <img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
-</a>
-

spaces/AIConsultant/MusicGen/tests/models/test_multibanddiffusion.py

@@ -1,53 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-import random
-
-import numpy as np
-import torch
-from audiocraft.models.multibanddiffusion import MultiBandDiffusion, DiffusionProcess
-from audiocraft.models import EncodecModel, DiffusionUnet
-from audiocraft.modules import SEANetEncoder, SEANetDecoder
-from audiocraft.modules.diffusion_schedule import NoiseSchedule
-from audiocraft.quantization import DummyQuantizer
-
-
-class TestMBD:
-
-    def _create_mbd(self,
-                    sample_rate: int,
-                    channels: int,
-                    n_filters: int = 3,
-                    n_residual_layers: int = 1,
-                    ratios: list = [5, 4, 3, 2],
-                    num_steps: int = 1000,
-                    codec_dim: int = 128,
-                    **kwargs):
-        frame_rate = np.prod(ratios)
-        encoder = SEANetEncoder(channels=channels, dimension=codec_dim, n_filters=n_filters,
-                                n_residual_layers=n_residual_layers, ratios=ratios)
-        decoder = SEANetDecoder(channels=channels, dimension=codec_dim, n_filters=n_filters,
-                                n_residual_layers=n_residual_layers, ratios=ratios)
-        quantizer = DummyQuantizer()
-        compression_model = EncodecModel(encoder, decoder, quantizer, frame_rate=frame_rate,
-                                         sample_rate=sample_rate, channels=channels, **kwargs)
-        diffusion_model = DiffusionUnet(chin=channels, num_steps=num_steps, codec_dim=codec_dim)
-        schedule = NoiseSchedule(device='cpu', num_steps=num_steps)
-        DP = DiffusionProcess(model=diffusion_model, noise_schedule=schedule)
-        mbd = MultiBandDiffusion(DPs=[DP], codec_model=compression_model)
-        return mbd
-
-    def test_model(self):
-        random.seed(1234)
-        sample_rate = 24_000
-        channels = 1
-        codec_dim = 128
-        mbd = self._create_mbd(sample_rate=sample_rate, channels=channels, codec_dim=codec_dim)
-        for _ in range(10):
-            length = random.randrange(1, 10_000)
-            x = torch.randn(2, channels, length)
-            res = mbd.regenerate(x, sample_rate)
-            assert res.shape == x.shape

spaces/AIGText/GlyphControl/ldm/util.py

@@ -1,203 +0,0 @@
-import importlib
-
-import torch
-from torch import optim
-import numpy as np
-
-from inspect import isfunction
-from PIL import Image, ImageDraw, ImageFont
-
-
-def log_txt_as_img(wh, xc, size=10):
-    # wh a tuple of (width, height)
-    # xc a list of captions to plot
-    b = len(xc)
-    txts = list()
-    for bi in range(b):
-        txt = Image.new("RGB", wh, color="white")
-        draw = ImageDraw.Draw(txt)
-        font = ImageFont.truetype('data/DejaVuSans.ttf', size=size)
-        nc = int(40 * (wh[0] / 256))
-        lines = "\n".join(xc[bi][start:start + nc] for start in range(0, len(xc[bi]), nc))
-
-        try:
-            draw.text((0, 0), lines, fill="black", font=font)
-        except UnicodeEncodeError:
-            print("Cant encode string for logging. Skipping.")
-
-        txt = np.array(txt).transpose(2, 0, 1) / 127.5 - 1.0
-        txts.append(txt)
-    txts = np.stack(txts)
-    txts = torch.tensor(txts)
-    return txts
-
-
-def ismap(x):
-    if not isinstance(x, torch.Tensor):
-        return False
-    return (len(x.shape) == 4) and (x.shape[1] > 3)
-
-
-def isimage(x):
-    if not isinstance(x,torch.Tensor):
-        return False
-    return (len(x.shape) == 4) and (x.shape[1] == 3 or x.shape[1] == 1)
-
-
-def exists(x):
-    return x is not None
-
-
-def default(val, d):
-    if exists(val):
-        return val
-    return d() if isfunction(d) else d
-
-
-def mean_flat(tensor):
-    """
-    https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/nn.py#L86
-    Take the mean over all non-batch dimensions.
-    """
-    return tensor.mean(dim=list(range(1, len(tensor.shape))))
-
-
-def count_params(model, verbose=False):
-    total_params = sum(p.numel() for p in model.parameters())
-    if verbose:
-        print(f"{model.__class__.__name__} has {total_params*1.e-6:.2f} M params.")
-    return total_params
-
-
-def instantiate_from_config(config):
-    if not "target" in config:
-        if config == '__is_first_stage__':
-            return None
-        elif config == "__is_unconditional__":
-            return None
-        raise KeyError("Expected key `target` to instantiate.")
-    return get_obj_from_str(config["target"])(**config.get("params", dict()))
-
-
-def get_obj_from_str(string, reload=False):
-    module, cls = string.rsplit(".", 1)
-    if reload:
-        module_imp = importlib.import_module(module)
-        importlib.reload(module_imp)
-    return getattr(importlib.import_module(module, package=None), cls)
-
-
-class AdamWwithEMAandWings(optim.Optimizer):
-    # credit to https://gist.github.com/crowsonkb/65f7265353f403714fce3b2595e0b298
-    def __init__(self, params, lr=1.e-3, betas=(0.9, 0.999), eps=1.e-8,  # TODO: check hyperparameters before using
-                 weight_decay=1.e-2, amsgrad=False, ema_decay=0.9999,   # ema decay to match previous code
-                 ema_power=1., param_names=()):
-        """AdamW that saves EMA versions of the parameters."""
-        if not 0.0 <= lr:
-            raise ValueError("Invalid learning rate: {}".format(lr))
-        if not 0.0 <= eps:
-            raise ValueError("Invalid epsilon value: {}".format(eps))
-        if not 0.0 <= betas[0] < 1.0:
-            raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0]))
-        if not 0.0 <= betas[1] < 1.0:
-            raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1]))
-        if not 0.0 <= weight_decay:
-            raise ValueError("Invalid weight_decay value: {}".format(weight_decay))
-        if not 0.0 <= ema_decay <= 1.0:
-            raise ValueError("Invalid ema_decay value: {}".format(ema_decay))
-        defaults = dict(lr=lr, betas=betas, eps=eps,
-                        weight_decay=weight_decay, amsgrad=amsgrad, ema_decay=ema_decay,
-                        ema_power=ema_power, param_names=param_names)
-        super().__init__(params, defaults)
-
-    def __setstate__(self, state):
-        super().__setstate__(state)
-        for group in self.param_groups:
-            group.setdefault('amsgrad', False)
-
-    @torch.no_grad()
-    def step(self, closure=None):
-        """Performs a single optimization step.
-        Args:
-            closure (callable, optional): A closure that reevaluates the model
-                and returns the loss.
-        """
-        loss = None
-        if closure is not None:
-            with torch.enable_grad():
-                loss = closure()
-
-        for group in self.param_groups:
-            params_with_grad = []
-            grads = []
-            exp_avgs = []
-            exp_avg_sqs = []
-            ema_params_with_grad = []
-            state_sums = []
-            max_exp_avg_sqs = []
-            state_steps = []
-            amsgrad = group['amsgrad']
-            beta1, beta2 = group['betas']
-            ema_decay = group['ema_decay']
-            ema_power = group['ema_power']
-
-            for p in group['params']:
-                if p.grad is None:
-                    continue
-                params_with_grad.append(p)
-                if p.grad.is_sparse:
-                    raise RuntimeError('AdamW does not support sparse gradients')
-                grads.append(p.grad)
-
-                state = self.state[p]
-
-                # State initialization
-                if len(state) == 0:
-                    state['step'] = 0
-                    # Exponential moving average of gradient values
-                    state['exp_avg'] = torch.zeros_like(p, memory_format=torch.preserve_format)
-                    # Exponential moving average of squared gradient values
-                    state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format)
-                    if amsgrad:
-                        # Maintains max of all exp. moving avg. of sq. grad. values
-                        state['max_exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format)
-                    # Exponential moving average of parameter values
-                    state['param_exp_avg'] = p.detach().float().clone()
-
-                exp_avgs.append(state['exp_avg'])
-                exp_avg_sqs.append(state['exp_avg_sq'])
-                ema_params_with_grad.append(state['param_exp_avg'])
-
-                if amsgrad:
-                    max_exp_avg_sqs.append(state['max_exp_avg_sq'])
-
-                # update the steps for each param group update
-                state['step'] += 1
-                # record the step after step update
-                state_steps.append(state['step'])
-
-            optim._functional.adamw(params_with_grad,
-                    grads,
-                    exp_avgs,
-                    exp_avg_sqs,
-                    max_exp_avg_sqs,
-                    state_steps,
-                    amsgrad=amsgrad,
-                    beta1=beta1,
-                    beta2=beta2,
-                    lr=group['lr'],
-                    weight_decay=group['weight_decay'],
-                    eps=group['eps'],
-                    maximize=False)
-
-            cur_ema_decay = min(ema_decay, 1 - state['step'] ** -ema_power)
-            for param, ema_param in zip(params_with_grad, ema_params_with_grad):
-                ema_param.mul_(cur_ema_decay).add_(param.float(), alpha=1 - cur_ema_decay)
-
-        return loss
-
-def islistortuple(item):
-    if isinstance(item, list) or isinstance(item, tuple):
-        return True
-    else:
-        return False

spaces/AILab-CVC/EvalCrafter/README.md

@@ -1,12 +0,0 @@
----
-title: EvalCrafter
-emoji: ⚡
-colorFrom: yellow
-colorTo: gray
-sdk: gradio
-sdk_version: 3.27.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/AISuperheroes/07GR-NLP-Seq2Seq-AutoQA/app.py

@@ -1,51 +0,0 @@
-import gradio as gr
-from qasrl_model_pipeline import QASRL_Pipeline
-
-models = ["kleinay/qanom-seq2seq-model-baseline", 
-          "kleinay/qanom-seq2seq-model-joint"]
-pipelines = {model: QASRL_Pipeline(model) for model in models}
-
-
-description = f"""Using Seq2Seq T5 model which takes a sequence of items and outputs another sequence this model generates Questions and Answers (QA) with focus on Semantic Role Labeling (SRL)""" 
-title="Seq2Seq T5 Questions and Answers (QA) with Semantic Role Labeling (SRL)"
-examples = [[models[0], "In March and April the patient <p> had two falls.  One was related to asthma, heart palpitations.  The second was due to syncope and post covid vaccination dizziness during exercise.  The patient is now getting an EKG.  Former EKG had shown that there was a bundle branch block.  Patient had some uncontrolled immune system reactions like anaphylaxis and shortness of breath.", True, "fall"],
-            [models[1], "In March and April the patient had two falls.  One was related to asthma, heart palpitations.  The second was due to syncope and post covid vaccination dizziness during exercise.  The patient is now getting an EKG.  Former EKG had shown that there was a bundle branch block.  Patient had some uncontrolled immune system reactions <p> like anaphylaxis and shortness of breath.", True, "reactions"],
-            [models[0], "In March and April the patient had two falls.  One was related <p> to asthma, heart palpitations.  The second was due to syncope and post covid vaccination dizziness during exercise.  The patient is now getting an EKG.  Former EKG had shown that there was a bundle branch block.  Patient had some uncontrolled immune system reactions like anaphylaxis and shortness of breath.", True, "relate"],
-            [models[1], "In March and April the patient <p> had two falls.  One was related to asthma, heart palpitations.  The second was due to syncope and post covid vaccination dizziness during exercise.  The patient is now getting an EKG.  Former EKG had shown that there was a bundle branch block.  Patient had some uncontrolled immune system reactions like anaphylaxis and shortness of breath.", False, "fall"]]
-
-input_sent_box_label = "Insert sentence here. Mark the predicate by adding the token '<p>' before it."
-verb_form_inp_placeholder = "e.g. 'decide' for the nominalization 'decision', 'teach' for 'teacher', etc."
-links = """<p style='text-align: center'>
-<a href='https://www.qasrl.org' target='_blank'>QASRL Website</a>  |  <a href='https://huggingface.co/kleinay/qanom-seq2seq-model-baseline' target='_blank'>Model Repo at Huggingface Hub</a>
-</p>"""
-def call(model_name, sentence, is_nominal, verb_form):
-    predicate_marker="<p>"
-    if predicate_marker not in sentence:
-        raise ValueError("You must highlight one word of the sentence as a predicate using preceding '<p>'.")
-        
-    if not verb_form:
-        if is_nominal:
-            raise ValueError("You should provide the verbal form of the nominalization")
-            
-        toks = sentence.split(" ")
-        pred_idx = toks.index(predicate_marker)
-        predicate = toks(pred_idx+1)
-        verb_form=predicate
-    pipeline = pipelines[model_name]
-    pipe_out = pipeline([sentence], 
-                    predicate_marker=predicate_marker, 
-                    predicate_type="nominal" if is_nominal else "verbal",
-                    verb_form=verb_form)[0]
-    return pipe_out["QAs"], pipe_out["generated_text"]
-iface = gr.Interface(fn=call, 
-                     inputs=[gr.inputs.Radio(choices=models, default=models[0], label="Model"), 
-                             gr.inputs.Textbox(placeholder=input_sent_box_label, label="Sentence", lines=4), 
-                             gr.inputs.Checkbox(default=True, label="Is Nominalization?"),
-                             gr.inputs.Textbox(placeholder=verb_form_inp_placeholder, label="Verbal form (for nominalizations)", default='')], 
-                     outputs=[gr.outputs.JSON(label="Model Output - QASRL"), gr.outputs.Textbox(label="Raw output sequence")],
-                     title=title,
-                     description=description,
-                     article=links,
-                     examples=examples )
-                     
-iface.launch()

spaces/AIZero2HeroBootcamp/MultiPDF-QA-ChatGPT-Langchain/app.py

@@ -1,64 +0,0 @@
-import os
-import streamlit as st
-from dotenv import load_dotenv
-from PyPDF2 import PdfReader
-from langchain.text_splitter import CharacterTextSplitter
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
-from langchain.chat_models import ChatOpenAI
-from langchain.memory import ConversationBufferMemory
-from langchain.chains import ConversationalRetrievalChain
-from htmlTemplates import css, bot_template, user_template
-
-def extract_text_from_pdfs(pdf_docs):
-    text = ""
-    for pdf in pdf_docs:
-        pdf_reader = PdfReader(pdf)
-        for page in pdf_reader.pages:
-            text += page.extract_text()
-    return text
-
-def split_text_into_chunks(text):
-    text_splitter = CharacterTextSplitter(separator="\n", chunk_size=1000, chunk_overlap=200, length_function=len)
-    return text_splitter.split_text(text)
-
-def create_vector_store_from_text_chunks(text_chunks):
-    key = os.getenv('OPENAI_KEY')
-    embeddings = OpenAIEmbeddings(openai_api_key=key)
-    return FAISS.from_texts(texts=text_chunks, embedding=embeddings)
-
-def create_conversation_chain(vectorstore):
-    llm = ChatOpenAI()
-    memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)
-    return ConversationalRetrievalChain.from_llm(llm=llm, retriever=vectorstore.as_retriever(), memory=memory)
-
-def process_user_input(user_question):
-    response = st.session_state.conversation({'question': user_question})
-    st.session_state.chat_history = response['chat_history']
-
-    for i, message in enumerate(st.session_state.chat_history):
-        template = user_template if i % 2 == 0 else bot_template
-        st.write(template.replace("{{MSG}}", message.content), unsafe_allow_html=True)
-
-def main():
-    load_dotenv()
-    st.set_page_config(page_title="Chat with multiple PDFs", page_icon=":books:")
-    st.write(css, unsafe_allow_html=True)
-
-    st.header("Chat with multiple PDFs :books:")
-    user_question = st.text_input("Ask a question about your documents:")
-    if user_question:
-        process_user_input(user_question)
-
-    with st.sidebar:
-        st.subheader("Your documents")
-        pdf_docs = st.file_uploader("Upload your PDFs here and click on 'Process'", accept_multiple_files=True)
-        if st.button("Process"):
-            with st.spinner("Processing"):
-                raw_text = extract_text_from_pdfs(pdf_docs)
-                text_chunks = split_text_into_chunks(raw_text)
-                vectorstore = create_vector_store_from_text_chunks(text_chunks)
-                st.session_state.conversation = create_conversation_chain(vectorstore)
-
-if __name__ == '__main__':
-    main()

spaces/AIZero2HeroBootcamp/StaticHTML5Playcanvas/index.html

@@ -1,12 +0,0 @@
-<html>
-<body onload="window.scrollTo({top: document.body.scrollHeight, behavior: 'smooth'});">
-<h1 id="smarter-npc-non-player-character-">SimPhysics</h1>
-<h4>User input: WASD</h4>
-<p>This WebGL demo demonstrates PlayCanvas and a physics vehicle simulation that is web based and playable anywhere your browser goes<a href="https://playcanv.as/p/JIwncOGZ/">🤗 Inference API</a>.</p>
-<p>Source code is in Readme.md file.</p>
-<p>PlayCanvas project <a href="https://playcanv.as/p/JIwncOGZ/"> is here</a></p>
-<div style="max-width: 100%;max-height: 100%;width: 100vw;height: 100vh;overflow: hidden;">
-  <iframe style="min-width: 100%; min-height: 100%; background: black;" allowfullscreen="true" frameborder="0" src="https://playcanv.as/p/JIwncOGZ/">></iframe>
-</div>
-</body>
-</html>

spaces/AIxPha/QSign/README.md

@@ -1,10 +0,0 @@
----
-title: QSign
-emoji: 💻
-colorFrom: gray
-colorTo: gray
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Ababababababbababa/Sha3bor_Aragpt2_Base/app.py

@@ -1,3 +0,0 @@
-import gradio as gr
-
-gr.Interface.load("models/aliosm/sha3bor-generator-aragpt2-base").launch()

spaces/Abhiboken12/travelling_ai/README.md

@@ -1,13 +0,0 @@
----
-title: Travelling Ai
-emoji: 🌍
-colorFrom: blue
-colorTo: green
-sdk: gradio
-sdk_version: 3.45.2
-app_file: app.py
-pinned: false
-license: bigscience-openrail-m
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Abhilashvj/planogram-compliance/Dockerfile

@@ -1,60 +0,0 @@
-# # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
-
-# # Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
-# FROM nvcr.io/nvidia/pytorch:21.05-py3
-
-# # Install linux packages
-# RUN apt update && apt install -y zip htop screen libgl1-mesa-glx
-
-# # Install python dependencies
-# COPY requirements.txt .
-# RUN python -m pip install --upgrade pip
-# RUN pip uninstall -y nvidia-tensorboard nvidia-tensorboard-plugin-dlprof
-# RUN pip install --no-cache -r requirements.txt coremltools onnx gsutil notebook
-# RUN pip install --no-cache -U torch torchvision numpy
-# # RUN pip install --no-cache torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
-
-# # Create working directory
-# RUN mkdir -p /usr/src/app
-# WORKDIR /usr/src/app
-
-# # Copy contents
-# COPY . /usr/src/app
-
-# # Set environment variables
-# ENV HOME=/usr/src/app
-
-
-# Usage Examples -------------------------------------------------------------------------------------------------------
-
-# Build and Push
-# t=ultralytics/yolov5:latest && sudo docker build -t $t . && sudo docker push $t
-
-# Pull and Run
-# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t
-
-# Pull and Run with local directory access
-# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/datasets $t
-
-# Kill all
-# sudo docker kill $(sudo docker ps -q)
-
-# Kill all image-based
-# sudo docker kill $(sudo docker ps -qa --filter ancestor=ultralytics/yolov5:latest)
-
-# Bash into running container
-# sudo docker exec -it 5a9b5863d93d bash
-
-# Bash into stopped container
-# id=$(sudo docker ps -qa) && sudo docker start $id && sudo docker exec -it $id bash
-
-# Clean up
-# docker system prune -a --volumes
-FROM python:3.9
-EXPOSE 8501
-WORKDIR /app
-COPY requirements.txt ./requirements.txt
-RUN pip3 install -r requirements.txt
-COPY . .
-# CMD streamlit run app.py
-CMD streamlit run --server.port $PORT app.py

spaces/AlekseyKorshuk/instagram-filter-removal/modeling/benchmark.py

@@ -1,62 +0,0 @@
-import torch
-from torch import nn
-
-from modeling.base import BaseNetwork
-from modeling.ifrnet import Flatten
-from modules.blocks import DestyleResBlock, Destyler, ResBlock
-
-
-class UNet(BaseNetwork):
-    def __init__(self, base_n_channels):
-        super(UNet, self).__init__()
-
-        self.ds_res1 = ResBlock(channels_in=3, channels_out=base_n_channels, kernel_size=5, stride=1, padding=2)
-        self.ds_res2 = ResBlock(channels_in=base_n_channels, channels_out=base_n_channels * 2, kernel_size=3, stride=2, padding=1)
-        self.ds_res3 = ResBlock(channels_in=base_n_channels * 2, channels_out=base_n_channels * 2, kernel_size=3, stride=1, padding=1)
-        self.ds_res4 = ResBlock(channels_in=base_n_channels * 2, channels_out=base_n_channels * 4, kernel_size=3, stride=2, padding=1)
-        self.ds_res5 = ResBlock(channels_in=base_n_channels * 4, channels_out=base_n_channels * 4, kernel_size=3, stride=1, padding=1)
-        self.ds_res6 = ResBlock(channels_in=base_n_channels * 4, channels_out=base_n_channels * 8, kernel_size=3, stride=2, padding=1)
-
-        self.upsample = nn.UpsamplingNearest2d(scale_factor=2.0)
-
-        self.res1 = ResBlock(channels_in=base_n_channels * 8, channels_out=base_n_channels * 4, kernel_size=3, stride=1, padding=1)
-        self.res2 = ResBlock(channels_in=base_n_channels * 4, channels_out=base_n_channels * 4, kernel_size=3, stride=1, padding=1)
-        self.res3 = ResBlock(channels_in=base_n_channels * 4, channels_out=base_n_channels * 2, kernel_size=3, stride=1, padding=1)
-        self.res4 = ResBlock(channels_in=base_n_channels * 2, channels_out=base_n_channels * 2, kernel_size=3, stride=1, padding=1)
-        self.res5 = ResBlock(channels_in=base_n_channels * 2, channels_out=base_n_channels, kernel_size=3, stride=1, padding=1)
-
-        self.conv1 = nn.Conv2d(base_n_channels, 3, kernel_size=3, stride=1, padding=1)
-
-        self.init_weights(init_type="normal", gain=0.02)
-
-    def forward(self, x):
-        out = self.ds_res1(x)
-        out = self.ds_res2(out)
-        out = self.ds_res3(out)
-        out = self.ds_res4(out)
-        out = self.ds_res5(out)
-        aux = self.ds_res6(out)
-
-        out = self.upsample(aux)
-        out = self.res1(out)
-        out = self.res2(out)
-        out = self.upsample(out)
-        out = self.res3(out)
-        out = self.res4(out)
-        out = self.upsample(out)
-        out = self.res5(out)
-        out = self.conv1(out)
-
-        return out, aux
-
-
-if __name__ == '__main__':
-    import torchvision
-    x = torch.rand((2, 3, 256, 256)).cuda()
-    unet = UNet(32, 32).cuda()
-    vgg16 = torchvision.models.vgg16(pretrained=True).features.eval().cuda()
-    with torch.no_grad():
-        vgg_feat = vgg16(x)
-    out = unet(x, vgg_feat)
-
-    print(out.size())

spaces/Alinadi98/movie_recommendation_system/app.py

@@ -1,216 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-# ## I create content base recommendation system for movies
-# 
-# 
-
-# ### Import our necessary library
-
-# In[1]:
-
-
-import numpy as np
-import pandas as pd
-import json
-import difflib
-from sklearn.feature_extraction.text import TfidfVectorizer
-from sklearn.metrics.pairwise import cosine_similarity
-import streamlit as st
-
-
-# ###  Load our data
-
-# In[65]:
-
-
-movies_data=pd.read_csv('m.csv')
-movies_data.head(3)
-
-
-# ### Select our features
-
-# In[3]:
-
-
-selected_features = ['genres','keywords','tagline','cast','director']
-print(selected_features)
-
-
-# ### Preprocessing data
-
-# In[4]:
-
-
-for feature in selected_features:
-  movies_data[feature] = movies_data[feature].fillna('')
-
-
-# In[5]:
-
-
-combined_features = movies_data['genres']+' '+movies_data['keywords']+' '+movies_data['tagline']+' '+movies_data['cast']+' '+movies_data['director']
-
-
-# ### Convert text to numerical vector
-
-# In[6]:
-
-
-vectorizer = TfidfVectorizer()
-
-
-# In[7]:
-
-
-feature_vectors = vectorizer.fit_transform(combined_features)
-
-
-# In[8]:
-
-
-print(feature_vectors )
-
-
-# ### Calculate cosine_similarity between all vectors
-
-# In[9]:
-
-
-similarity = cosine_similarity(feature_vectors)
-
-
-# In[10]:
-
-
-similarity = cosine_similarity(feature_vectors)
-
-
-# ### Run a function to recommend movies
-# ####  The get_close_matches() function returns a list of close matched strings that satisfy the cutoff.
-
-# In[44]:
-
-
-list_of_all_titles = movies_data['title'].tolist()
-
-def get_recommendations(movie_name):
-    find_close_match = difflib.get_close_matches(movie_name, list_of_all_titles)
-    close_match = find_close_match[0]
-    index_of_the_movie = movies_data[movies_data.title == close_match]['index'].values[0]
-    sim_scores = list(enumerate(similarity[index_of_the_movie]))
-    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)
-    sim_scores = sim_scores[:70]
-    movie_indices = [i[0] for i in sim_scores]
-    a = set(movies_data[['title']].iloc[movie_indices]['title'])
-    return a
-
-def get_recommendations2(movie_name):
-    find_close_match = difflib.get_close_matches(movie_name, list_of_all_titles)
-    close_match = find_close_match[0]
-    index_of_the_movie = movies_data[movies_data.title == close_match]['index'].values[0]
-    sim_scores = list(enumerate(similarity[index_of_the_movie]))
-    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)
-    sim_scores = sim_scores[:70]
-    movie_indices = [i[0] for i in sim_scores]
-    a = set(movies_data[['title']].iloc[movie_indices]['title'])
-    return a
-
-
-def get_recommendations_intersection(movie_name1, movie_name2):
-    rec1 = get_recommendations(movie_name1)
-    rec2 = get_recommendations2(movie_name2)
-    r_final= pd.DataFrame({'title':list(rec1.intersection(rec2))})
-    final_suggestion=movies_data[movies_data['title'].isin(r_final['title'].tolist())].drop(['index','budget','homepage','id',
- 'keywords',
- 'original_language',
- 'overview',
- 'popularity',
- 'production_companies',
- 'release_date',
- 'revenue',
- 'runtime','production_countries','original_title',
- 'spoken_languages',
- 'status',
- 'tagline',
- 'vote_average',
- 'vote_count',
- 'crew'],1).reset_index(drop=True)
-    if  len(final_suggestion)==0:
-        print('sorry, you should select two similar movie')
-    else:
-        return final_suggestion
-
-
-# In[45]:
-
-
-get_recommendations_intersection('inception','interstaller')
-
-
-# # use streamlit library to creat web app
-# 
-
-# In[ ]:
-
-
-import streamlit as st
-import requests
-from streamlit_lottie import st_lottie
-
-
-# In[14]:
-
-
-st.subheader('Hi Im Ali Nadi Khorasgani' )
-st.title('This is a movie recommendation system Web App')
-
-
-# In[15]:
-
-
-def load_lottieurl(url):
-    r=requests.get(url)
-    if r.status_code !=200:
-        return None
-    return r.json()
-lottie_coding= load_lottieurl('https://assets5.lottiefiles.com/packages/lf20_khzniaya.json')
-st_lottie(lottie_coding,height=300,key='coding')
-
-
-# In[ ]:
-
-
-
-
-
-# In[16]:
-
-
-st.image('abcd.jpeg')
-
-st.markdown("---")
-
-
-
-
-
-# In[17]:
-
-
-movies_list = movies_data['title'].values
-
-selected_movie1 = st.selectbox( " select your first favorite movie", movies_list,key=1 )
-selected_movie2 = st.selectbox( "select your first favorite movie", movies_list,key=2 )
-st.write('we suggest you these movies ')
-if st.button('Show Recommendation'):
-      recommended_movie_names = get_recommendations_intersection(selected_movie1,selected_movie2)
-      st.write(recommended_movie_names)
-
-
-
-st.markdown("---")
-
-
-st.markdown('[download_dataset](https://drive.google.com/file/d/1cCkwiVv4mgfl20ntgY3n4yApcWqqZQe6/view)')
-

spaces/Ameaou/academic-chatgpt3.1/docs/README_RS.md

@@ -1,291 +0,0 @@
-> **Note**
->
-> Этот файл самовыражения автоматически генерируется модулем перевода markdown в этом проекте и может быть не на 100% правильным.
->
-
-# <img src="logo.png" width="40" > ChatGPT Academic Optimization
-
-**Если вам понравился этот проект, пожалуйста, поставьте ему звезду. Если вы придумали более полезные академические ярлыки или функциональные плагины, не стесняйтесь создавать запросы на изменение или пул-запросы. Мы также имеем [README на английском языке](docs/README_EN.md), переведенный этим же проектом.
-
-> **Примечание**
->
-> 1. Пожалуйста, обратите внимание, что только функциonal plugins (buttons) с **красным цветом** могут читать файлы, некоторые из которых находятся в **выпадающем меню** плагинов. Кроме того, мы приветствуем и обрабатываем любые новые плагины с **наивысшим приоритетом**!
->
-> 2. Функции каждого файла в этом проекте подробно описаны в собственном анализе [`self_analysis.md`](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) . При повторных итерациях вы также можете вызывать обновленный отчет функций проекта, щелкнув соответствующий функциональный плагин GPT. Часто задаваемые вопросы собраны в [`wiki`](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98) .
-
-<div align="center">
-    
-Функция | Описание
---- | ---
-Редактирование одним кликом | Поддержка редактирования одним кликом, поиск грамматических ошибок в академических статьях
-Переключение языков "Английский-Китайский" одним кликом | Одним кликом переключайте языки "Английский-Китайский"
-Разъяснение программного кода одним кликом | Вы можете правильно отобразить и объяснить программный код.
-[Настраиваемые сочетания клавиш](https://www.bilibili.com/video/BV14s4y1E7jN) | Поддержка настраиваемых сочетаний клавиш
-[Настройка сервера-прокси](https://www.bilibili.com/video/BV1rc411W7Dr) | Поддержка настройки сервера-прокси
-Модульный дизайн | Поддержка настраиваемых функциональных плагинов высших порядков и функциональных плагинов, поддерживающих [горячее обновление](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-[Автоанализ программы](https://www.bilibili.com/video/BV1cj411A7VW) | [Функциональный плагин] [Прочтение в один клик](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A) кода программы проекта
-[Анализ программы](https://www.bilibili.com/video/BV1cj411A7VW) | [Функциональный плагин] Один клик для проанализирования дерева других проектов Python/C/C++/Java/Lua/...
-Чтение статей| [Функциональный плагин] Одним кликом прочитайте весь латех (LaTex) текст статьи и сгенерируйте краткое описание
-Перевод и редактирование всех статей из LaTex | [Функциональный плагин] Перевод или редактирование LaTex-статьи всего одним нажатием кнопки
-Генерация комментариев в пакетном режиме | [Функциональный плагин] Одним кликом сгенерируйте комментарии к функциям в пакетном режиме
-Генерация отчетов пакета CHAT | [Функциональный плагин] Автоматически создавайте сводные отчеты после выполнения
-[Помощник по arxiv](https://www.bilibili.com/video/BV1LM4y1279X) | [Функциональный плагин] Введите URL статьи arxiv, чтобы легко перевести резюме и загрузить PDF-файл
-[Перевод полного текста статьи в формате PDF](https://www.bilibili.com/video/BV1KT411x7Wn) | [Функциональный плагин] Извлеките заголовок статьи, резюме и переведите весь текст статьи (многопоточно)
-[Помощник интеграции Google Scholar](https://www.bilibili.com/video/BV19L411U7ia) | [Функциональный плагин] Дайте GPT выбрать для вас интересные статьи на любой странице поиска Google Scholar.
-Отображение формул/изображений/таблиц | Одновременно отображается tex-форма и рендер-форма формул, поддержка формул, высокоскоростных кодов
-Поддержка функциональных плагинов многопоточности | Поддержка многопоточной работы с плагинами, обрабатывайте огромные объемы текста или программы одним кликом
-Запуск темной темы gradio[подробнее](https://github.com/binary-husky/chatgpt_academic/issues/173) | Добавьте / ?__dark-theme=true в конец URL браузера, чтобы переключиться на темную тему.
-[Поддержка нескольких моделей LLM](https://www.bilibili.com/video/BV1wT411p7yf), поддержка API2D | Находиться между GPT3.5, GPT4 и [清华ChatGLM](https://github.com/THUDM/ChatGLM-6B) должно быть очень приятно, не так ли?
-Альтернатива huggingface без использования научной сети [Онлайн-эксперимент](https://huggingface.co/spaces/qingxu98/gpt-academic) | Войдите в систему, скопируйте пространство [этот пространственный URL](https://huggingface.co/spaces/qingxu98/gpt-academic)
-…… | ……
-
-
-</div>
-
-- Новый интерфейс (вы можете изменить настройку LAYOUT в config.py, чтобы переключаться между "горизонтальным расположением" и "вертикальным расположением")
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/230361456-61078362-a966-4eb5-b49e-3c62ef18b860.gif" width="700" >
-</div>
-
-
-Вы профессиональный переводчик научных статей. 
-
-- Все кнопки генерируются динамически путем чтения functional.py и могут быть легко настроены под пользовательские потребности, освобождая буфер обмена.
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/231975334-b4788e91-4887-412f-8b43-2b9c5f41d248.gif" width="700" >
-</div>
-
-- Редактирование/корректирование
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/231980294-f374bdcb-3309-4560-b424-38ef39f04ebd.gif" width="700" >
-</div>
-
-- Если вывод содержит формулы, они отображаются одновременно как в формате tex, так и в рендеринговом формате для удобства копирования и чтения.
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png" width="700" >
-</div>
-
-- Лень смотреть код проекта? Просто покажите chatgpt.
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="700" >
-</div>
-
-- Несколько моделей больших языковых моделей смешиваются (ChatGLM + OpenAI-GPT3.5 + [API2D] (https://api2d.com/) -GPT4)
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/232537274-deca0563-7aa6-4b5d-94a2-b7c453c47794.png" width="700" >
-</div>
-
-Несколько моделей больших языковых моделей смешиваются в [бета-версии huggingface] (https://huggingface.co/spaces/qingxu98/academic-chatgpt-beta) (huggingface-версия не поддерживает chatglm).
-
-
----
-
-## Установка - Метод 1: Запуск (Windows, Linux или MacOS)
-
-1. Скачайте проект
-```sh
-git clone https://github.com/binary-husky/chatgpt_academic.git
-cd chatgpt_academic
-```
-
-2. Настройка API_KEY и настройки прокси
-
-В файле `config.py` настройте зарубежный прокси и OpenAI API KEY, пояснения ниже
-```
-1. Если вы находитесь в Китае, вам нужно настроить зарубежный прокси, чтобы использовать OpenAI API. Пожалуйста, внимательно прочитайте config.py для получения инструкций (1. Измените USE_PROXY на True; 2. Измените прокси в соответствии с инструкциями).
-2. Настройка API KEY OpenAI. Вам необходимо зарегистрироваться на сайте OpenAI и получить API KEY. После получения API KEY настройте его в файле config.py.
-3. Вопросы, связанные с сетевыми проблемами (тайм-аут сети, прокси не работает), можно найти здесь: https://github.com/binary-husky/chatgpt_academic/issues/1
-```
-(Примечание: при запуске программы будет проверяться наличие конфиденциального файла конфигурации с именем `config_private.py` и использоваться в нем конфигурация параметров, которая перезаписывает параметры с такими же именами в `config.py`. Поэтому, если вы понимаете логику чтения нашей конфигурации, мы настоятельно рекомендуем вам создать новый файл конфигурации с именем `config_private.py` рядом с `config.py` и переместить (скопировать) настройки из `config.py` в `config_private.py`.  `config_private.py` не подвергается контролю git, что делает конфиденциальную информацию более безопасной.) 
-
-
-3. Установить зависимости
-```sh
-# (Выбор 1) Рекомендуется
-python -m pip install -r requirements.txt   
-
-# (Выбор 2) Если вы используете anaconda, то шаги будут аналогичны:
-# (Шаг 2.1) conda create -n gptac_venv python=3.11
-# (Шаг 2.2) conda activate gptac_venv
-# (Шаг 2.3) python -m pip install -r requirements.txt
-
-# Примечание: используйте официальный источник pip или источник pip.aliyun.com. Другие источники pip могут вызывать проблемы. временный метод замены источника: 
-# python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-```
-
-Если требуется поддержка TUNA ChatGLM, необходимо установить дополнительные зависимости (если вы неудобны с python, необходимо иметь хорошую конфигурацию компьютера):
-```sh
-python -m pip install -r request_llm/requirements_chatglm.txt
-```
-
-4. Запустите
-```sh
-python main.py
-```
-
-5. Тестовые функции плагина
-```
-- Тестирвоание анализа проекта Python
-    В основной области введите `./crazy_functions/test_project/python/dqn` , а затем нажмите "Анализировать весь проект Python"
-- Тестирование самостоятельного чтения кода
-    Щелкните " [Демонстрационный режим многопоточности] Проанализируйте сам проект (расшифровка источника кода)"
-- Тестирование функций шаблонного плагина (вы можете использовать эту функцию как шаблон для более сложных функций, требующих ответа от gpt в связи с тем, что произошло сегодня в истории)
-    Щелкните " [Функции шаблонного плагина] День в истории"
-- На нижней панели дополнительные функции для выбора
-```
-
-## Установка - Метод 2: Использование docker (Linux)
-
-
-1. Только ChatGPT (рекомендуется для большинства пользователей):
-``` sh
-# Скачать проект
-git clone https://github.com/binary-husky/chatgpt_academic.git
-cd chatgpt_academic
-# Настроить прокси за границей и OpenAI API KEY
-Отредактируйте файл config.py в любом текстовом редакторе.
-# Установка
-docker build -t gpt-academic .
-# Запустить
-docker run --rm -it --net=host gpt-academic
-
-# Проверка функциональности плагина
-## Прове��ка шаблонной функции плагина (требуется, чтобы gpt ответил, что произошло "в истории на этот день"), вы можете использовать эту функцию в качестве шаблона для реализации более сложных функций.
-Нажмите "[Шаблонный демонстрационный плагин] История на этот день".
-## Тест абстрактного резюме для проекта на Latex
-В области ввода введите ./crazy_functions/test_project/latex/attention, а затем нажмите "Чтение реферата о тезисах статьи на LaTeX".
-## Тестовый анализ проекта на Python
-Введите в область ввода ./crazy_functions/test_project/python/dqn, затем нажмите "Проанализировать весь проект на Python".
-
-Выбирайте больше функциональных плагинов в нижнем выпадающем меню.
-```
-
-2. ChatGPT + ChatGLM (требуется глубокое знание Docker и достаточно мощное компьютерное оборудование):
-
-``` sh
-# Изменение Dockerfile
-cd docs && nano Dockerfile+ChatGLM
-# Как построить | Как запустить (Dockerfile+ChatGLM в пути docs, сначала перейдите в папку с помощью cd docs)
-docker build -t gpt-academic --network=host -f Dockerfile+ChatGLM .
-# Как запустить | Как запустить (2) я хочу войти в контейнер и сделать какие-то настройки до запуска:
-docker run --rm -it --net=host --gpus=all gpt-academic bash
-```
-
-
-## Установка-Метод 3: Другие способы развертывания
-
-1. Развертывание на удаленном облачном сервере
-Пожалуйста, посетите [Deploy Wiki-1] (https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
-
-2. Использование WSL2 (Windows Subsystem for Linux)
-Пожалуйста, посетите [Deploy Wiki-2] (https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
-
-
-## Установка-Настройки прокси
-### Метод 1: Обычный способ
-[Конфигурация прокси] (https://github.com/binary-husky/chatgpt_academic/issues/1)
-
-### Метод 2: Руководство новичка
-[Руководство новичка] (https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BB%A3%E7%90%86%E8%BD%AF%E4%BB%B6%E9%97%AE%E9%A2%98%E7%9A%84%E6%96%B0%E6%89%8B%E8%A7%A3%E5%86%B3%E6%96%B9%E6%B3%95%EF%BC%88%E6%96%B9%E6%B3%95%E5%8F%AA%E9%80%82%E7%94%A8%E4%BA%8E%E6%96%B0%E6%89%8B%EF%BC%89)
-
-
----
-
-## Настройка новой удобной кнопки (настройка быстрой клавиши для научной работы)
-Откройте `core_functional.py` любым текстовым редактором, добавьте элементы, как показано ниже, затем перезапустите программу. (Если кнопка уже успешно добавлена и видна, то префикс и суффикс поддерживают горячее изменение, чтобы они оказались в действии, не нужно перезапускать программу.)
-например
-```
-"Супер анг-рус": {
-    # Префикс, будет добавлен перед вашим вводом. Например, используется для описания ваших потребностей, таких как перевод, кодинг, редактирование и т. д.
-    "Prefix": "Пожалуйста, переведите этот фрагмент на русский язык, а затем создайте пошаговую таблицу в markdown, чтобы объяснить все специализированные термины, которые встречаются в тексте:\n\n", 
-    
-    # Суффикс, будет добавлен после вашего ввода. Например, совместно с префиксом можно обрамить ваш ввод в кавычки.
-    "Suffix": "",
-},
-```
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226899272-477c2134-ed71-4326-810c-29891fe4a508.png" width="500" >
-</div>
-
----
-
-
-## Демонстрация некоторых возможностей
-
-### Отображение изображений:
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/228737599-bf0a9d9c-1808-4f43-ae15-dfcc7af0f295.png" width="800" >
-</div>
-
-
-### Если программа может понимать и разбирать сама себя:
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226936850-c77d7183-0749-4c1c-9875-fd4891842d0c.png" width="800" >
-</div>
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226936618-9b487e4b-ab5b-4b6e-84c6-16942102e917.png" width="800" >
-</div>
-
-
-### Анализ других проектов на Python/Cpp:
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="800" >
-</div>
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="800" >
-</div>
-
-### Генерация понимания и абстрактов с помощью Латех статей в один клик
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/227504406-86ab97cd-f208-41c3-8e4a-7000e51cf980.png" width="800" >
-</div>
-
-### Автоматическое создание отчетов
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/227503770-fe29ce2c-53fd-47b0-b0ff-93805f0c2ff4.png" height="300" >
-<img src="https://user-images.githubusercontent.com/96192199/227504617-7a497bb3-0a2a-4b50-9a8a-95ae60ea7afd.png" height="300" >
-<img src="https://user-images.githubusercontent.com/96192199/227504005-efeaefe0-b687-49d0-bf95-2d7b7e66c348.png" height="300" >
-</div>
-
-### Модульный дизайн функций
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/229288270-093643c1-0018-487a-81e6-1d7809b6e90f.png" height="400" >
-<img src="https://user-images.githubusercontent.com/96192199/227504931-19955f78-45cd-4d1c-adac-e71e50957915.png" height="400" >
-</div>
-
-
-### Трансляция исходного кода на английский язык
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/229720562-fe6c3508-6142-4635-a83d-21eb3669baee.png" height="400" >
-</div>
-
-## Todo и планирование версий:
-- version 3.2+ (todo): функция плагины поддерживают более многочисленные интерфейсы параметров 
-- version 3.1: поддержка одновременного опроса нескольких моделей gpt! Поддержка api2d, поддержка балансировки нагрузки множества apikey.
-- version 3.0: поддержка chatglm и других маленьких llm
-- version 2.6: реструктурировал структуру плагинов, повысил интерактивность, добавил больше плагинов
-- version 2.5: само обновление, решение проблемы слишком длинного текста и переполнения токена при переводе всего проекта исходного кода
-- version 2.4: (1) добавлена функция перевода всего PDF-документа; (2) добавлена функция изменения положения входной области; (3) добавлена опция вертикального макета; (4) оптимизация функций многопоточности плагина.
-- version 2.3: улучшение многопоточной интерактивности
-- version 2.2: функция плагинов поддерживает горячую перезагрузку
-- version 2.1: блочная раскладка 
-- version 2.0: модульный дизайн функций плагина 
-- version 1.0: основные функции 
-
-## Ссылки на изучение и обучение
-
-```
-В коде использовано много хороших дизайнерских решений из других отличных проектов, в том числе:
-
-# Project1: использование многих приемов из ChuanhuChatGPT
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-
-# Project2: ChatGLM-6B в Тхуде:
-https://github.com/THUDM/ChatGLM-6B
-```
-

spaces/Amon1/ChatGPTForAcadamic/crazy_functions/下载arxiv论文翻译摘要.py

@@ -1,186 +0,0 @@
-from predict import predict_no_ui
-from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down, get_conf
-import re, requests, unicodedata, os
-
-def download_arxiv_(url_pdf):
-    if 'arxiv.org' not in url_pdf:
-        if ('.' in url_pdf) and ('/' not in url_pdf):
-            new_url = 'https://arxiv.org/abs/'+url_pdf
-            print('下载编号：', url_pdf, '自动定位：', new_url)
-            # download_arxiv_(new_url)
-            return download_arxiv_(new_url)
-        else:
-            print('不能识别的URL！')
-            return None
-    if 'abs' in url_pdf:
-        url_pdf = url_pdf.replace('abs', 'pdf')
-        url_pdf = url_pdf + '.pdf'
-
-    url_abs = url_pdf.replace('.pdf', '').replace('pdf', 'abs')
-    title, other_info = get_name(_url_=url_abs)
-
-    paper_id = title.split()[0]  # '[1712.00559]'
-    if '2' in other_info['year']:
-        title = other_info['year'] + ' ' + title
-
-    known_conf = ['NeurIPS', 'NIPS', 'Nature', 'Science', 'ICLR', 'AAAI']
-    for k in known_conf:
-        if k in other_info['comment']:
-            title = k + ' ' + title
-
-    download_dir = './gpt_log/arxiv/'
-    os.makedirs(download_dir, exist_ok=True)
-
-    title_str = title.replace('?', '？')\
-        .replace(':', '：')\
-        .replace('\"', '“')\
-        .replace('\n', '')\
-        .replace('  ', ' ')\
-        .replace('  ', ' ')
-
-    requests_pdf_url = url_pdf
-    file_path = download_dir+title_str
-    # if os.path.exists(file_path):
-    #     print('返回缓存文件')
-    #     return './gpt_log/arxiv/'+title_str
-
-    print('下载中')
-    proxies, = get_conf('proxies')
-    r = requests.get(requests_pdf_url, proxies=proxies)
-    with open(file_path, 'wb+') as f:
-        f.write(r.content)
-    print('下载完成')
-
-    # print('输出下载命令：','aria2c -o \"%s\" %s'%(title_str,url_pdf))
-    # subprocess.call('aria2c --all-proxy=\"172.18.116.150:11084\" -o \"%s\" %s'%(download_dir+title_str,url_pdf), shell=True)
-
-    x = "%s  %s %s.bib" % (paper_id, other_info['year'], other_info['authors'])
-    x = x.replace('?', '？')\
-        .replace(':', '：')\
-        .replace('\"', '“')\
-        .replace('\n', '')\
-        .replace('  ', ' ')\
-        .replace('  ', ' ')
-    return './gpt_log/arxiv/'+title_str, other_info
-
-
-def get_name(_url_):
-    import os
-    from bs4 import BeautifulSoup
-    print('正在获取文献名！')
-    print(_url_)
-
-    # arxiv_recall = {}
-    # if os.path.exists('./arxiv_recall.pkl'):
-    #     with open('./arxiv_recall.pkl', 'rb') as f:
-    #         arxiv_recall = pickle.load(f)
-
-    # if _url_ in arxiv_recall:
-    #     print('在缓存中')
-    #     return arxiv_recall[_url_]
-
-    proxies, = get_conf('proxies')
-    res = requests.get(_url_, proxies=proxies)
-
-    bs = BeautifulSoup(res.text, 'html.parser')
-    other_details = {}
-
-    # get year
-    try:
-        year = bs.find_all(class_='dateline')[0].text
-        year = re.search(r'(\d{4})', year, re.M | re.I).group(1)
-        other_details['year'] = year
-        abstract = bs.find_all(class_='abstract mathjax')[0].text
-        other_details['abstract'] = abstract
-    except:
-        other_details['year'] = ''
-        print('年份获取失败')
-
-    # get author
-    try:
-        authors = bs.find_all(class_='authors')[0].text
-        authors = authors.split('Authors:')[1]
-        other_details['authors'] = authors
-    except:
-        other_details['authors'] = ''
-        print('authors获取失败')
-
-    # get comment
-    try:
-        comment = bs.find_all(class_='metatable')[0].text
-        real_comment = None
-        for item in comment.replace('\n', ' ').split('   '):
-            if 'Comments' in item:
-                real_comment = item
-        if real_comment is not None:
-            other_details['comment'] = real_comment
-        else:
-            other_details['comment'] = ''
-    except:
-        other_details['comment'] = ''
-        print('年份获取失败')
-
-    title_str = BeautifulSoup(
-        res.text, 'html.parser').find('title').contents[0]
-    print('获取成功：', title_str)
-    # arxiv_recall[_url_] = (title_str+'.pdf', other_details)
-    # with open('./arxiv_recall.pkl', 'wb') as f:
-    #     pickle.dump(arxiv_recall, f)
-
-    return title_str+'.pdf', other_details
-
-
-
-@CatchException
-def 下载arxiv论文并翻译摘要(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
-
-    CRAZY_FUNCTION_INFO = "下载arxiv论文并翻译摘要，函数插件作者[binary-husky]。正在提取摘要并下载PDF文档……"
-    import glob
-    import os
-
-    # 基本信息：功能、贡献者
-    chatbot.append(["函数插件功能？", CRAZY_FUNCTION_INFO])
-    yield chatbot, history, '正常'
-
-    # 尝试导入依赖，如果缺少依赖，则给出安装建议
-    try:
-        import pdfminer, bs4
-    except:
-        report_execption(chatbot, history, 
-            a = f"解析项目: {txt}", 
-            b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pdfminer beautifulsoup4```。")
-        yield chatbot, history, '正常'
-        return
-
-    # 清空历史，以免输入溢出
-    history = []
-
-    # 提取摘要，下载PDF文档
-    try:
-        pdf_path, info = download_arxiv_(txt)
-    except:
-        report_execption(chatbot, history, 
-            a = f"解析项目: {txt}", 
-            b = f"下载pdf文件未成功")
-        yield chatbot, history, '正常'
-        return
-    
-    # 翻译摘要等
-    i_say =            f"请你阅读以下学术论文相关的材料，提取摘要，翻译为中文。材料如下：{str(info)}"
-    i_say_show_user =  f'请你阅读以下学术论文相关的材料，提取摘要，翻译为中文。论文：{pdf_path}'
-    chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
-    yield chatbot, history, '正常'
-    msg = '正常'
-    # ** gpt request **
-    gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[])   # 带超时倒计时
-    chatbot[-1] = (i_say_show_user, gpt_say)
-    history.append(i_say_show_user); history.append(gpt_say)
-    yield chatbot, history, msg
-    # 写入文件
-    import shutil
-    # 重置文件的创建时间
-    shutil.copyfile(pdf_path, f'./gpt_log/{os.path.basename(pdf_path)}'); os.remove(pdf_path)
-    res = write_results_to_file(history)
-    chatbot.append(("完成了吗？", res + "\n\nPDF文件也已经下载"))
-    yield chatbot, history, msg
-

spaces/Andy1621/uniformer_image_detection/configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py

@@ -1,62 +0,0 @@
-_base_ = '../retinanet/retinanet_r50_caffe_fpn_1x_coco.py'
-model = dict(
-    bbox_head=dict(
-        _delete_=True,
-        type='GARetinaHead',
-        num_classes=80,
-        in_channels=256,
-        stacked_convs=4,
-        feat_channels=256,
-        approx_anchor_generator=dict(
-            type='AnchorGenerator',
-            octave_base_scale=4,
-            scales_per_octave=3,
-            ratios=[0.5, 1.0, 2.0],
-            strides=[8, 16, 32, 64, 128]),
-        square_anchor_generator=dict(
-            type='AnchorGenerator',
-            ratios=[1.0],
-            scales=[4],
-            strides=[8, 16, 32, 64, 128]),
-        anchor_coder=dict(
-            type='DeltaXYWHBBoxCoder',
-            target_means=[.0, .0, .0, .0],
-            target_stds=[1.0, 1.0, 1.0, 1.0]),
-        bbox_coder=dict(
-            type='DeltaXYWHBBoxCoder',
-            target_means=[.0, .0, .0, .0],
-            target_stds=[1.0, 1.0, 1.0, 1.0]),
-        loc_filter_thr=0.01,
-        loss_loc=dict(
-            type='FocalLoss',
-            use_sigmoid=True,
-            gamma=2.0,
-            alpha=0.25,
-            loss_weight=1.0),
-        loss_shape=dict(type='BoundedIoULoss', beta=0.2, loss_weight=1.0),
-        loss_cls=dict(
-            type='FocalLoss',
-            use_sigmoid=True,
-            gamma=2.0,
-            alpha=0.25,
-            loss_weight=1.0),
-        loss_bbox=dict(type='SmoothL1Loss', beta=0.04, loss_weight=1.0)),
-    # training and testing settings
-    train_cfg=dict(
-        ga_assigner=dict(
-            type='ApproxMaxIoUAssigner',
-            pos_iou_thr=0.5,
-            neg_iou_thr=0.4,
-            min_pos_iou=0.4,
-            ignore_iof_thr=-1),
-        ga_sampler=dict(
-            type='RandomSampler',
-            num=256,
-            pos_fraction=0.5,
-            neg_pos_ub=-1,
-            add_gt_as_proposals=False),
-        assigner=dict(neg_iou_thr=0.5, min_pos_iou=0.0),
-        center_ratio=0.2,
-        ignore_ratio=0.5))
-optimizer_config = dict(
-    _delete_=True, grad_clip=dict(max_norm=35, norm_type=2))

spaces/Andy1621/uniformer_image_detection/mmdet/core/bbox/assigners/region_assigner.py

@@ -1,221 +0,0 @@
-import torch
-
-from mmdet.core import anchor_inside_flags
-from ..builder import BBOX_ASSIGNERS
-from .assign_result import AssignResult
-from .base_assigner import BaseAssigner
-
-
-def calc_region(bbox, ratio, stride, featmap_size=None):
-    """Calculate region of the box defined by the ratio, the ratio is from the
-    center of the box to every edge."""
-    # project bbox on the feature
-    f_bbox = bbox / stride
-    x1 = torch.round((1 - ratio) * f_bbox[0] + ratio * f_bbox[2])
-    y1 = torch.round((1 - ratio) * f_bbox[1] + ratio * f_bbox[3])
-    x2 = torch.round(ratio * f_bbox[0] + (1 - ratio) * f_bbox[2])
-    y2 = torch.round(ratio * f_bbox[1] + (1 - ratio) * f_bbox[3])
-    if featmap_size is not None:
-        x1 = x1.clamp(min=0, max=featmap_size[1])
-        y1 = y1.clamp(min=0, max=featmap_size[0])
-        x2 = x2.clamp(min=0, max=featmap_size[1])
-        y2 = y2.clamp(min=0, max=featmap_size[0])
-    return (x1, y1, x2, y2)
-
-
-def anchor_ctr_inside_region_flags(anchors, stride, region):
-    """Get the flag indicate whether anchor centers are inside regions."""
-    x1, y1, x2, y2 = region
-    f_anchors = anchors / stride
-    x = (f_anchors[:, 0] + f_anchors[:, 2]) * 0.5
-    y = (f_anchors[:, 1] + f_anchors[:, 3]) * 0.5
-    flags = (x >= x1) & (x <= x2) & (y >= y1) & (y <= y2)
-    return flags
-
-
-@BBOX_ASSIGNERS.register_module()
-class RegionAssigner(BaseAssigner):
-    """Assign a corresponding gt bbox or background to each bbox.
-
-    Each proposals will be assigned with `-1`, `0`, or a positive integer
-    indicating the ground truth index.
-
-    - -1: don't care
-    - 0: negative sample, no assigned gt
-    - positive integer: positive sample, index (1-based) of assigned gt
-
-    Args:
-        center_ratio: ratio of the region in the center of the bbox to
-            define positive sample.
-        ignore_ratio: ratio of the region to define ignore samples.
-    """
-
-    def __init__(self, center_ratio=0.2, ignore_ratio=0.5):
-        self.center_ratio = center_ratio
-        self.ignore_ratio = ignore_ratio
-
-    def assign(self,
-               mlvl_anchors,
-               mlvl_valid_flags,
-               gt_bboxes,
-               img_meta,
-               featmap_sizes,
-               anchor_scale,
-               anchor_strides,
-               gt_bboxes_ignore=None,
-               gt_labels=None,
-               allowed_border=0):
-        """Assign gt to anchors.
-
-        This method assign a gt bbox to every bbox (proposal/anchor), each bbox
-        will be assigned with -1, 0, or a positive number. -1 means don't care,
-        0 means negative sample, positive number is the index (1-based) of
-        assigned gt.
-        The assignment is done in following steps, the order matters.
-
-        1. Assign every anchor to 0 (negative)
-        For each gt_bboxes:
-            2. Compute ignore flags based on ignore_region then
-                assign -1 to anchors w.r.t. ignore flags
-            3. Compute pos flags based on center_region then
-               assign gt_bboxes to anchors w.r.t. pos flags
-            4. Compute ignore flags based on adjacent anchor lvl then
-               assign -1 to anchors w.r.t. ignore flags
-            5. Assign anchor outside of image to -1
-
-        Args:
-            mlvl_anchors (list[Tensor]): Multi level anchors.
-            mlvl_valid_flags (list[Tensor]): Multi level valid flags.
-            gt_bboxes (Tensor): Ground truth bboxes of image
-            img_meta (dict): Meta info of image.
-            featmap_sizes (list[Tensor]): Feature mapsize each level
-            anchor_scale (int): Scale of the anchor.
-            anchor_strides (list[int]): Stride of the anchor.
-            gt_bboxes (Tensor): Groundtruth boxes, shape (k, 4).
-            gt_bboxes_ignore (Tensor, optional): Ground truth bboxes that are
-                labelled as `ignored`, e.g., crowd boxes in COCO.
-            gt_labels (Tensor, optional): Label of gt_bboxes, shape (k, ).
-            allowed_border (int, optional): The border to allow the valid
-                anchor. Defaults to 0.
-
-        Returns:
-            :obj:`AssignResult`: The assign result.
-        """
-        if gt_bboxes_ignore is not None:
-            raise NotImplementedError
-
-        num_gts = gt_bboxes.shape[0]
-        num_bboxes = sum(x.shape[0] for x in mlvl_anchors)
-
-        if num_gts == 0 or num_bboxes == 0:
-            # No ground truth or boxes, return empty assignment
-            max_overlaps = gt_bboxes.new_zeros((num_bboxes, ))
-            assigned_gt_inds = gt_bboxes.new_zeros((num_bboxes, ),
-                                                   dtype=torch.long)
-            if gt_labels is None:
-                assigned_labels = None
-            else:
-                assigned_labels = gt_bboxes.new_full((num_bboxes, ),
-                                                     -1,
-                                                     dtype=torch.long)
-            return AssignResult(
-                num_gts,
-                assigned_gt_inds,
-                max_overlaps,
-                labels=assigned_labels)
-
-        num_lvls = len(mlvl_anchors)
-        r1 = (1 - self.center_ratio) / 2
-        r2 = (1 - self.ignore_ratio) / 2
-
-        scale = torch.sqrt((gt_bboxes[:, 2] - gt_bboxes[:, 0]) *
-                           (gt_bboxes[:, 3] - gt_bboxes[:, 1]))
-        min_anchor_size = scale.new_full(
-            (1, ), float(anchor_scale * anchor_strides[0]))
-        target_lvls = torch.floor(
-            torch.log2(scale) - torch.log2(min_anchor_size) + 0.5)
-        target_lvls = target_lvls.clamp(min=0, max=num_lvls - 1).long()
-
-        # 1. assign 0 (negative) by default
-        mlvl_assigned_gt_inds = []
-        mlvl_ignore_flags = []
-        for lvl in range(num_lvls):
-            h, w = featmap_sizes[lvl]
-            assert h * w == mlvl_anchors[lvl].shape[0]
-            assigned_gt_inds = gt_bboxes.new_full((h * w, ),
-                                                  0,
-                                                  dtype=torch.long)
-            ignore_flags = torch.zeros_like(assigned_gt_inds)
-            mlvl_assigned_gt_inds.append(assigned_gt_inds)
-            mlvl_ignore_flags.append(ignore_flags)
-
-        for gt_id in range(num_gts):
-            lvl = target_lvls[gt_id].item()
-            featmap_size = featmap_sizes[lvl]
-            stride = anchor_strides[lvl]
-            anchors = mlvl_anchors[lvl]
-            gt_bbox = gt_bboxes[gt_id, :4]
-
-            # Compute regions
-            ignore_region = calc_region(gt_bbox, r2, stride, featmap_size)
-            ctr_region = calc_region(gt_bbox, r1, stride, featmap_size)
-
-            # 2. Assign -1 to ignore flags
-            ignore_flags = anchor_ctr_inside_region_flags(
-                anchors, stride, ignore_region)
-            mlvl_assigned_gt_inds[lvl][ignore_flags] = -1
-
-            # 3. Assign gt_bboxes to pos flags
-            pos_flags = anchor_ctr_inside_region_flags(anchors, stride,
-                                                       ctr_region)
-            mlvl_assigned_gt_inds[lvl][pos_flags] = gt_id + 1
-
-            # 4. Assign -1 to ignore adjacent lvl
-            if lvl > 0:
-                d_lvl = lvl - 1
-                d_anchors = mlvl_anchors[d_lvl]
-                d_featmap_size = featmap_sizes[d_lvl]
-                d_stride = anchor_strides[d_lvl]
-                d_ignore_region = calc_region(gt_bbox, r2, d_stride,
-                                              d_featmap_size)
-                ignore_flags = anchor_ctr_inside_region_flags(
-                    d_anchors, d_stride, d_ignore_region)
-                mlvl_ignore_flags[d_lvl][ignore_flags] = 1
-            if lvl < num_lvls - 1:
-                u_lvl = lvl + 1
-                u_anchors = mlvl_anchors[u_lvl]
-                u_featmap_size = featmap_sizes[u_lvl]
-                u_stride = anchor_strides[u_lvl]
-                u_ignore_region = calc_region(gt_bbox, r2, u_stride,
-                                              u_featmap_size)
-                ignore_flags = anchor_ctr_inside_region_flags(
-                    u_anchors, u_stride, u_ignore_region)
-                mlvl_ignore_flags[u_lvl][ignore_flags] = 1
-
-        # 4. (cont.) Assign -1 to ignore adjacent lvl
-        for lvl in range(num_lvls):
-            ignore_flags = mlvl_ignore_flags[lvl]
-            mlvl_assigned_gt_inds[lvl][ignore_flags] = -1
-
-        # 5. Assign -1 to anchor outside of image
-        flat_assigned_gt_inds = torch.cat(mlvl_assigned_gt_inds)
-        flat_anchors = torch.cat(mlvl_anchors)
-        flat_valid_flags = torch.cat(mlvl_valid_flags)
-        assert (flat_assigned_gt_inds.shape[0] == flat_anchors.shape[0] ==
-                flat_valid_flags.shape[0])
-        inside_flags = anchor_inside_flags(flat_anchors, flat_valid_flags,
-                                           img_meta['img_shape'],
-                                           allowed_border)
-        outside_flags = ~inside_flags
-        flat_assigned_gt_inds[outside_flags] = -1
-
-        if gt_labels is not None:
-            assigned_labels = torch.zeros_like(flat_assigned_gt_inds)
-            pos_flags = assigned_gt_inds > 0
-            assigned_labels[pos_flags] = gt_labels[
-                flat_assigned_gt_inds[pos_flags] - 1]
-        else:
-            assigned_labels = None
-
-        return AssignResult(
-            num_gts, flat_assigned_gt_inds, None, labels=assigned_labels)

spaces/Andy1621/uniformer_image_segmentation/configs/hrnet/fcn_hr18_480x480_80k_pascal_context_59.py

@@ -1,8 +0,0 @@
-_base_ = [
-    '../_base_/models/fcn_hr18.py', '../_base_/datasets/pascal_context_59.py',
-    '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
-]
-model = dict(
-    decode_head=dict(num_classes=59),
-    test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))
-optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)

spaces/AnishKumbhar/ChatBot/text-generation-webui-main/cmd_linux.sh

@@ -1,22 +0,0 @@
-#!/bin/bash
-
-cd "$(dirname "${BASH_SOURCE[0]}")"
-
-if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
-
-# deactivate existing conda envs as needed to avoid conflicts
-{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
-
-# config
-CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
-INSTALL_ENV_DIR="$(pwd)/installer_files/env"
-
-# environment isolation
-export PYTHONNOUSERSITE=1
-unset PYTHONPATH
-unset PYTHONHOME
-export CUDA_PATH="$INSTALL_ENV_DIR"
-export CUDA_HOME="$CUDA_PATH"
-
-# activate env
-bash --init-file <(echo "source \"$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh\" && conda activate \"$INSTALL_ENV_DIR\"")

spaces/Anonymous-123/ImageNet-Editing/editing_diffusion/utils/visualization.py

@@ -1,78 +0,0 @@
-from pathlib import Path
-from numpy.core.shape_base import block
-import torch
-import matplotlib.pyplot as plt
-from torchvision.transforms import functional as TF
-
-from typing import Optional, Union
-
-import matplotlib.pyplot as plt
-import numpy as np
-from PIL.Image import Image
-
-
-def show_tensor_image(tensor: torch.Tensor, range_zero_one: bool = False):
-    """Show a tensor of an image
-
-    Args:
-        tensor (torch.Tensor): Tensor of shape [N, 3, H, W] in range [-1, 1] or in range [0, 1]
-    """
-    if not range_zero_one:
-        tensor = (tensor + 1) / 2
-    tensor.clamp(0, 1)
-
-    batch_size = tensor.shape[0]
-    for i in range(batch_size):
-        plt.title(f"Fig_{i}")
-        pil_image = TF.to_pil_image(tensor[i])
-        plt.imshow(pil_image)
-        plt.show(block=True)
-
-
-def show_editied_masked_image(
-    title: str,
-    source_image: Image,
-    edited_image: Image,
-    mask: Optional[Image] = None,
-    path: Optional[Union[str, Path]] = None,
-    distance: Optional[str] = None,
-):
-    fig_idx = 1
-    rows = 1
-    cols = 3 if mask is not None else 2
-
-    fig = plt.figure(figsize=(12, 5))
-    figure_title = f'Prompt: "{title}"'
-    if distance is not None:
-        figure_title += f" ({distance})"
-    plt.title(figure_title)
-    plt.axis("off")
-
-    fig.add_subplot(rows, cols, fig_idx)
-    fig_idx += 1
-    _set_image_plot_name("Source Image")
-    plt.imshow(source_image)
-
-    if mask is not None:
-        fig.add_subplot(rows, cols, fig_idx)
-        _set_image_plot_name("Mask")
-        plt.imshow(mask)
-        plt.gray()
-        fig_idx += 1
-
-    fig.add_subplot(rows, cols, fig_idx)
-    _set_image_plot_name("Edited Image")
-    plt.imshow(edited_image)
-
-    if path is not None:
-        plt.savefig(path, bbox_inches="tight")
-    else:
-        plt.show(block=True)
-
-    plt.close()
-
-
-def _set_image_plot_name(name):
-    plt.title(name)
-    plt.xticks([])
-    plt.yticks([])

spaces/AnthonyTruchetPoC/persistent-docker/scripts/build-local-docker.sh

@@ -1,11 +0,0 @@
-#!/usr/bin/env bash
-source $(dirname $0)/common_header.sh
-
-# Export the dependencies managed by Poetry in the requirements.txt format for pip
-poetry export -f requirements.txt -o requirements.txt --without-hashes --with=jupyter
-
-# Re-build the docker image.
-docker build -f $ROOT_DIRECTORY/Dockerfile --label tests -t $CONTAINER_NAME .
-
-
-

spaces/AriaMei/TTSdemo/text/mandarin.py

@@ -1,328 +0,0 @@
-import os
-import sys
-import re
-from pypinyin import lazy_pinyin, BOPOMOFO
-import jieba
-import cn2an
-
-
-# List of (Latin alphabet, bopomofo) pairs:
-_latin_to_bopomofo = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-    ('a', 'ㄟˉ'),
-    ('b', 'ㄅㄧˋ'),
-    ('c', 'ㄙㄧˉ'),
-    ('d', 'ㄉㄧˋ'),
-    ('e', 'ㄧˋ'),
-    ('f', 'ㄝˊㄈㄨˋ'),
-    ('g', 'ㄐㄧˋ'),
-    ('h', 'ㄝˇㄑㄩˋ'),
-    ('i', 'ㄞˋ'),
-    ('j', 'ㄐㄟˋ'),
-    ('k', 'ㄎㄟˋ'),
-    ('l', 'ㄝˊㄛˋ'),
-    ('m', 'ㄝˊㄇㄨˋ'),
-    ('n', 'ㄣˉ'),
-    ('o', 'ㄡˉ'),
-    ('p', 'ㄆㄧˉ'),
-    ('q', 'ㄎㄧㄡˉ'),
-    ('r', 'ㄚˋ'),
-    ('s', 'ㄝˊㄙˋ'),
-    ('t', 'ㄊㄧˋ'),
-    ('u', 'ㄧㄡˉ'),
-    ('v', 'ㄨㄧˉ'),
-    ('w', 'ㄉㄚˋㄅㄨˋㄌㄧㄡˋ'),
-    ('x', 'ㄝˉㄎㄨˋㄙˋ'),
-    ('y', 'ㄨㄞˋ'),
-    ('z', 'ㄗㄟˋ')
-]]
-
-# List of (bopomofo, romaji) pairs:
-_bopomofo_to_romaji = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('ㄅㄛ', 'p⁼wo'),
-    ('ㄆㄛ', 'pʰwo'),
-    ('ㄇㄛ', 'mwo'),
-    ('ㄈㄛ', 'fwo'),
-    ('ㄅ', 'p⁼'),
-    ('ㄆ', 'pʰ'),
-    ('ㄇ', 'm'),
-    ('ㄈ', 'f'),
-    ('ㄉ', 't⁼'),
-    ('ㄊ', 'tʰ'),
-    ('ㄋ', 'n'),
-    ('ㄌ', 'l'),
-    ('ㄍ', 'k⁼'),
-    ('ㄎ', 'kʰ'),
-    ('ㄏ', 'h'),
-    ('ㄐ', 'ʧ⁼'),
-    ('ㄑ', 'ʧʰ'),
-    ('ㄒ', 'ʃ'),
-    ('ㄓ', 'ʦ`⁼'),
-    ('ㄔ', 'ʦ`ʰ'),
-    ('ㄕ', 's`'),
-    ('ㄖ', 'ɹ`'),
-    ('ㄗ', 'ʦ⁼'),
-    ('ㄘ', 'ʦʰ'),
-    ('ㄙ', 's'),
-    ('ㄚ', 'a'),
-    ('ㄛ', 'o'),
-    ('ㄜ', 'ə'),
-    ('ㄝ', 'e'),
-    ('ㄞ', 'ai'),
-    ('ㄟ', 'ei'),
-    ('ㄠ', 'au'),
-    ('ㄡ', 'ou'),
-    ('ㄧㄢ', 'yeNN'),
-    ('ㄢ', 'aNN'),
-    ('ㄧㄣ', 'iNN'),
-    ('ㄣ', 'əNN'),
-    ('ㄤ', 'aNg'),
-    ('ㄧㄥ', 'iNg'),
-    ('ㄨㄥ', 'uNg'),
-    ('ㄩㄥ', 'yuNg'),
-    ('ㄥ', 'əNg'),
-    ('ㄦ', 'əɻ'),
-    ('ㄧ', 'i'),
-    ('ㄨ', 'u'),
-    ('ㄩ', 'ɥ'),
-    ('ˉ', '→'),
-    ('ˊ', '↑'),
-    ('ˇ', '↓↑'),
-    ('ˋ', '↓'),
-    ('˙', ''),
-    ('，', ','),
-    ('。', '.'),
-    ('！', '!'),
-    ('？', '?'),
-    ('—', '-')
-]]
-
-# List of (romaji, ipa) pairs:
-_romaji_to_ipa = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-    ('ʃy', 'ʃ'),
-    ('ʧʰy', 'ʧʰ'),
-    ('ʧ⁼y', 'ʧ⁼'),
-    ('NN', 'n'),
-    ('Ng', 'ŋ'),
-    ('y', 'j'),
-    ('h', 'x')
-]]
-
-# List of (bopomofo, ipa) pairs:
-_bopomofo_to_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('ㄅㄛ', 'p⁼wo'),
-    ('ㄆㄛ', 'pʰwo'),
-    ('ㄇㄛ', 'mwo'),
-    ('ㄈㄛ', 'fwo'),
-    ('ㄅ', 'p⁼'),
-    ('ㄆ', 'pʰ'),
-    ('ㄇ', 'm'),
-    ('ㄈ', 'f'),
-    ('ㄉ', 't⁼'),
-    ('ㄊ', 'tʰ'),
-    ('ㄋ', 'n'),
-    ('ㄌ', 'l'),
-    ('ㄍ', 'k⁼'),
-    ('ㄎ', 'kʰ'),
-    ('ㄏ', 'x'),
-    ('ㄐ', 'tʃ⁼'),
-    ('ㄑ', 'tʃʰ'),
-    ('ㄒ', 'ʃ'),
-    ('ㄓ', 'ts`⁼'),
-    ('ㄔ', 'ts`ʰ'),
-    ('ㄕ', 's`'),
-    ('ㄖ', 'ɹ`'),
-    ('ㄗ', 'ts⁼'),
-    ('ㄘ', 'tsʰ'),
-    ('ㄙ', 's'),
-    ('ㄚ', 'a'),
-    ('ㄛ', 'o'),
-    ('ㄜ', 'ə'),
-    ('ㄝ', 'ɛ'),
-    ('ㄞ', 'aɪ'),
-    ('ㄟ', 'eɪ'),
-    ('ㄠ', 'ɑʊ'),
-    ('ㄡ', 'oʊ'),
-    ('ㄧㄢ', 'jɛn'),
-    ('ㄩㄢ', 'ɥæn'),
-    ('ㄢ', 'an'),
-    ('ㄧㄣ', 'in'),
-    ('ㄩㄣ', 'ɥn'),
-    ('ㄣ', 'ən'),
-    ('ㄤ', 'ɑŋ'),
-    ('ㄧㄥ', 'iŋ'),
-    ('ㄨㄥ', 'ʊŋ'),
-    ('ㄩㄥ', 'jʊŋ'),
-    ('ㄥ', 'əŋ'),
-    ('ㄦ', 'əɻ'),
-    ('ㄧ', 'i'),
-    ('ㄨ', 'u'),
-    ('ㄩ', 'ɥ'),
-    ('ˉ', '→'),
-    ('ˊ', '↑'),
-    ('ˇ', '↓↑'),
-    ('ˋ', '↓'),
-    ('˙', ''),
-    ('，', ','),
-    ('。', '.'),
-    ('！', '!'),
-    ('？', '?'),
-    ('—', '-')
-]]
-
-# List of (bopomofo, ipa2) pairs:
-_bopomofo_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('ㄅㄛ', 'pwo'),
-    ('ㄆㄛ', 'pʰwo'),
-    ('ㄇㄛ', 'mwo'),
-    ('ㄈㄛ', 'fwo'),
-    ('ㄅ', 'p'),
-    ('ㄆ', 'pʰ'),
-    ('ㄇ', 'm'),
-    ('ㄈ', 'f'),
-    ('ㄉ', 't'),
-    ('ㄊ', 'tʰ'),
-    ('ㄋ', 'n'),
-    ('ㄌ', 'l'),
-    ('ㄍ', 'k'),
-    ('ㄎ', 'kʰ'),
-    ('ㄏ', 'h'),
-    ('ㄐ', 'tɕ'),
-    ('ㄑ', 'tɕʰ'),
-    ('ㄒ', 'ɕ'),
-    ('ㄓ', 'tʂ'),
-    ('ㄔ', 'tʂʰ'),
-    ('ㄕ', 'ʂ'),
-    ('ㄖ', 'ɻ'),
-    ('ㄗ', 'ts'),
-    ('ㄘ', 'tsʰ'),
-    ('ㄙ', 's'),
-    ('ㄚ', 'a'),
-    ('ㄛ', 'o'),
-    ('ㄜ', 'ɤ'),
-    ('ㄝ', 'ɛ'),
-    ('ㄞ', 'aɪ'),
-    ('ㄟ', 'eɪ'),
-    ('ㄠ', 'ɑʊ'),
-    ('ㄡ', 'oʊ'),
-    ('ㄧㄢ', 'jɛn'),
-    ('ㄩㄢ', 'yæn'),
-    ('ㄢ', 'an'),
-    ('ㄧㄣ', 'in'),
-    ('ㄩㄣ', 'yn'),
-    ('ㄣ', 'ən'),
-    ('ㄤ', 'ɑŋ'),
-    ('ㄧㄥ', 'iŋ'),
-    ('ㄨㄥ', 'ʊŋ'),
-    ('ㄩㄥ', 'jʊŋ'),
-    ('ㄥ', 'ɤŋ'),
-    ('ㄦ', 'əɻ'),
-    ('ㄧ', 'i'),
-    ('ㄨ', 'u'),
-    ('ㄩ', 'y'),
-    ('ˉ', '˥'),
-    ('ˊ', '˧˥'),
-    ('ˇ', '˨˩˦'),
-    ('ˋ', '˥˩'),
-    ('˙', ''),
-    ('，', ','),
-    ('。', '.'),
-    ('！', '!'),
-    ('？', '?'),
-    ('—', '-')
-]]
-
-
-def number_to_chinese(text):
-    numbers = re.findall(r'\d+(?:\.?\d+)?', text)
-    for number in numbers:
-        text = text.replace(number, cn2an.an2cn(number), 1)
-    return text
-
-
-def chinese_to_bopomofo(text, taiwanese=False):
-    text = text.replace('、', '，').replace('；', '，').replace('：', '，')
-    words = jieba.lcut(text, cut_all=False)
-    text = ''
-    for word in words:
-        bopomofos = lazy_pinyin(word, BOPOMOFO)
-        if not re.search('[\u4e00-\u9fff]', word):
-            text += word
-            continue
-        for i in range(len(bopomofos)):
-            bopomofos[i] = re.sub(r'([\u3105-\u3129])$', r'\1ˉ', bopomofos[i])
-        if text != '':
-            text += ' '
-        if taiwanese:
-            text += '#'+'#'.join(bopomofos)
-        else:
-            text += ''.join(bopomofos)
-    return text
-
-
-def latin_to_bopomofo(text):
-    for regex, replacement in _latin_to_bopomofo:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def bopomofo_to_romaji(text):
-    for regex, replacement in _bopomofo_to_romaji:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def bopomofo_to_ipa(text):
-    for regex, replacement in _bopomofo_to_ipa:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def bopomofo_to_ipa2(text):
-    for regex, replacement in _bopomofo_to_ipa2:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def chinese_to_romaji(text):
-    text = number_to_chinese(text)
-    text = chinese_to_bopomofo(text)
-    text = latin_to_bopomofo(text)
-    text = bopomofo_to_romaji(text)
-    text = re.sub('i([aoe])', r'y\1', text)
-    text = re.sub('u([aoəe])', r'w\1', text)
-    text = re.sub('([ʦsɹ]`[⁼ʰ]?)([→↓↑ ]+|$)',
-                  r'\1ɹ`\2', text).replace('ɻ', 'ɹ`')
-    text = re.sub('([ʦs][⁼ʰ]?)([→↓↑ ]+|$)', r'\1ɹ\2', text)
-    return text
-
-
-def chinese_to_lazy_ipa(text):
-    text = chinese_to_romaji(text)
-    for regex, replacement in _romaji_to_ipa:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def chinese_to_ipa(text):
-    text = number_to_chinese(text)
-    text = chinese_to_bopomofo(text)
-    text = latin_to_bopomofo(text)
-    text = bopomofo_to_ipa(text)
-    text = re.sub('i([aoe])', r'j\1', text)
-    text = re.sub('u([aoəe])', r'w\1', text)
-    text = re.sub('([sɹ]`[⁼ʰ]?)([→↓↑ ]+|$)',
-                  r'\1ɹ`\2', text).replace('ɻ', 'ɹ`')
-    text = re.sub('([s][⁼ʰ]?)([→↓↑ ]+|$)', r'\1ɹ\2', text)
-    return text
-
-
-def chinese_to_ipa2(text, taiwanese=False):
-    text = number_to_chinese(text)
-    text = chinese_to_bopomofo(text, taiwanese)
-    text = latin_to_bopomofo(text)
-    text = bopomofo_to_ipa2(text)
-    text = re.sub(r'i([aoe])', r'j\1', text)
-    text = re.sub(r'u([aoəe])', r'w\1', text)
-    text = re.sub(r'([ʂɹ]ʰ?)([˩˨˧˦˥ ]+|$)', r'\1ʅ\2', text)
-    text = re.sub(r'(sʰ?)([˩˨˧˦˥ ]+|$)', r'\1ɿ\2', text)
-    return text

spaces/Arnasltlt/KlauskKnygos/app.py

@@ -1,26 +0,0 @@
-import openai
-import gradio as gr
-import os
-
-openai.api_key = os.environ["openai_key"]
-
-def gpt4(instruction, email):
-    completion = openai.ChatCompletion.create(
-      model="gpt-4",
-      messages=[
-        {"role": "system", "content": f'{instruction}'},
-        {"role": "user", "content": f"{email}"},
-      ], temperature=0,
-    )
-
-    return completion.choices[0].message.content
-
-# Define the Gradio input and output interfaces
-inputs = [
-    gr.inputs.Textbox(label="Instruction"),
-    gr.inputs.Textbox(label="Email")
-]
-output = gr.outputs.Textbox(label="Output")
-
-# Create a Gradio interface and launch it
-gr.Interface(fn=gpt4, inputs=inputs, outputs=output, title="GPT-4 Demo").launch()

spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/pip/_vendor/chardet/langturkishmodel.py

@@ -1,4380 +0,0 @@
-from pip._vendor.chardet.sbcharsetprober import SingleByteCharSetModel
-
-# 3: Positive
-# 2: Likely
-# 1: Unlikely
-# 0: Negative
-
-TURKISH_LANG_MODEL = {
-    23: {  # 'A'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 1,  # 'h'
-        3: 1,  # 'i'
-        24: 0,  # 'j'
-        10: 2,  # 'k'
-        5: 1,  # 'l'
-        13: 1,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 1,  # 'r'
-        8: 1,  # 's'
-        9: 1,  # 't'
-        14: 1,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    37: {  # 'B'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 2,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 1,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    47: {  # 'C'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 1,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 1,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 2,  # 'j'
-        10: 1,  # 'k'
-        5: 2,  # 'l'
-        13: 2,  # 'm'
-        4: 2,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 2,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    39: {  # 'D'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 1,  # 'l'
-        13: 3,  # 'm'
-        4: 0,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 1,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    29: {  # 'E'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 1,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 0,  # 'h'
-        3: 1,  # 'i'
-        24: 1,  # 'j'
-        10: 0,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 1,  # 's'
-        9: 1,  # 't'
-        14: 1,  # 'u'
-        32: 1,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    52: {  # 'F'
-        23: 0,  # 'A'
-        37: 1,  # 'B'
-        47: 1,  # 'C'
-        39: 1,  # 'D'
-        29: 1,  # 'E'
-        52: 2,  # 'F'
-        36: 0,  # 'G'
-        45: 2,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 1,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 1,  # 'b'
-        28: 1,  # 'c'
-        12: 1,  # 'd'
-        2: 0,  # 'e'
-        18: 1,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 2,  # 'i'
-        24: 1,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 1,  # 'm'
-        4: 2,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 2,  # 'r'
-        8: 1,  # 's'
-        9: 1,  # 't'
-        14: 1,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 2,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 2,  # 'ş'
-    },
-    36: {  # 'G'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 2,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 2,  # 'N'
-        42: 1,  # 'O'
-        48: 1,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 1,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 1,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 0,  # 'r'
-        8: 1,  # 's'
-        9: 1,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 1,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 2,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    45: {  # 'H'
-        23: 0,  # 'A'
-        37: 1,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 2,  # 'G'
-        45: 1,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 1,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 2,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 2,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 1,  # 'o'
-        26: 1,  # 'p'
-        7: 1,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 0,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    53: {  # 'I'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 2,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    60: {  # 'J'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 1,  # 'd'
-        2: 0,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 1,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 1,  # 's'
-        9: 0,  # 't'
-        14: 0,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    16: {  # 'K'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 1,  # 'e'
-        18: 3,  # 'f'
-        27: 3,  # 'g'
-        25: 3,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 0,  # 'u'
-        32: 3,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    49: {  # 'L'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 2,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 2,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 0,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 2,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 2,  # 'n'
-        15: 1,  # 'o'
-        26: 1,  # 'p'
-        7: 1,  # 'r'
-        8: 1,  # 's'
-        9: 1,  # 't'
-        14: 0,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 2,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 1,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    20: {  # 'M'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 1,  # 'h'
-        3: 2,  # 'i'
-        24: 2,  # 'j'
-        10: 2,  # 'k'
-        5: 2,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 3,  # 'r'
-        8: 0,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    46: {  # 'N'
-        23: 0,  # 'A'
-        37: 1,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 2,  # 'j'
-        10: 1,  # 'k'
-        5: 1,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 1,  # 'o'
-        26: 1,  # 'p'
-        7: 1,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 1,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 2,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    42: {  # 'O'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 1,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 0,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 2,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 2,  # 'İ'
-        6: 1,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    48: {  # 'P'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 2,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 2,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 2,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 0,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    44: {  # 'R'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 1,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 2,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 1,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    35: {  # 'S'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 1,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 1,  # 'l'
-        13: 2,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 1,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 2,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    31: {  # 'T'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 0,  # 'c'
-        12: 1,  # 'd'
-        2: 3,  # 'e'
-        18: 2,  # 'f'
-        27: 2,  # 'g'
-        25: 0,  # 'h'
-        3: 1,  # 'i'
-        24: 1,  # 'j'
-        10: 2,  # 'k'
-        5: 2,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 2,  # 'r'
-        8: 0,  # 's'
-        9: 2,  # 't'
-        14: 2,  # 'u'
-        32: 1,  # 'v'
-        57: 1,  # 'w'
-        58: 1,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    51: {  # 'U'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 1,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 1,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    38: {  # 'V'
-        23: 1,  # 'A'
-        37: 1,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 1,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 2,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 2,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 1,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 1,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 3,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    62: {  # 'W'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 0,  # 'd'
-        2: 0,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 0,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 0,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    43: {  # 'Y'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 0,  # 'G'
-        45: 1,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 2,  # 'N'
-        42: 0,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 1,  # 'j'
-        10: 1,  # 'k'
-        5: 1,  # 'l'
-        13: 3,  # 'm'
-        4: 0,  # 'n'
-        15: 2,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 1,  # 'Ü'
-        59: 1,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 0,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    56: {  # 'Z'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 2,  # 'Z'
-        1: 2,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 2,  # 'i'
-        24: 1,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 1,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 1,  # 'r'
-        8: 1,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    1: {  # 'a'
-        23: 3,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 1,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 3,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 2,  # 'Z'
-        1: 2,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 2,  # 'e'
-        18: 3,  # 'f'
-        27: 3,  # 'g'
-        25: 3,  # 'h'
-        3: 3,  # 'i'
-        24: 3,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 3,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 3,  # 'v'
-        57: 2,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 1,  # 'î'
-        34: 1,  # 'ö'
-        17: 3,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    21: {  # 'b'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 3,  # 'g'
-        25: 1,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 3,  # 'p'
-        7: 1,  # 'r'
-        8: 2,  # 's'
-        9: 2,  # 't'
-        14: 2,  # 'u'
-        32: 1,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    28: {  # 'c'
-        23: 0,  # 'A'
-        37: 1,  # 'B'
-        47: 1,  # 'C'
-        39: 1,  # 'D'
-        29: 2,  # 'E'
-        52: 0,  # 'F'
-        36: 2,  # 'G'
-        45: 2,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 2,  # 'T'
-        51: 2,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 3,  # 'Y'
-        56: 0,  # 'Z'
-        1: 1,  # 'a'
-        21: 1,  # 'b'
-        28: 2,  # 'c'
-        12: 2,  # 'd'
-        2: 1,  # 'e'
-        18: 1,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 3,  # 'i'
-        24: 1,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 2,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 1,  # 'u'
-        32: 0,  # 'v'
-        57: 1,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 1,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 1,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 1,  # 'î'
-        34: 2,  # 'ö'
-        17: 2,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 2,  # 'ş'
-    },
-    12: {  # 'd'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 2,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 1,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 1,  # 'f'
-        27: 3,  # 'g'
-        25: 3,  # 'h'
-        3: 2,  # 'i'
-        24: 3,  # 'j'
-        10: 2,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 2,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 1,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 3,  # 'y'
-        22: 1,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    2: {  # 'e'
-        23: 2,  # 'A'
-        37: 0,  # 'B'
-        47: 2,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 1,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 1,  # 'R'
-        35: 0,  # 'S'
-        31: 3,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 2,  # 'e'
-        18: 3,  # 'f'
-        27: 3,  # 'g'
-        25: 3,  # 'h'
-        3: 3,  # 'i'
-        24: 3,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 3,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 3,  # 'v'
-        57: 2,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 1,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 3,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    18: {  # 'f'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 2,  # 'f'
-        27: 1,  # 'g'
-        25: 1,  # 'h'
-        3: 1,  # 'i'
-        24: 1,  # 'j'
-        10: 1,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 1,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 1,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    27: {  # 'g'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 1,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 1,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 1,  # 'h'
-        3: 2,  # 'i'
-        24: 3,  # 'j'
-        10: 2,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 2,  # 'r'
-        8: 2,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 1,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    25: {  # 'h'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 2,  # 'h'
-        3: 2,  # 'i'
-        24: 3,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 1,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 1,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    3: {  # 'i'
-        23: 2,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 0,  # 'N'
-        42: 1,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 1,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 2,  # 'f'
-        27: 3,  # 'g'
-        25: 1,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 3,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 1,  # 'w'
-        58: 1,  # 'x'
-        11: 3,  # 'y'
-        22: 1,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 1,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 3,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    24: {  # 'j'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 2,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 1,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 2,  # 'f'
-        27: 1,  # 'g'
-        25: 1,  # 'h'
-        3: 2,  # 'i'
-        24: 1,  # 'j'
-        10: 2,  # 'k'
-        5: 2,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 2,  # 'r'
-        8: 3,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 2,  # 'x'
-        11: 1,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    10: {  # 'k'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 3,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 3,  # 'e'
-        18: 1,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 2,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 3,  # 'p'
-        7: 2,  # 'r'
-        8: 2,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 3,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    5: {  # 'l'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 1,  # 'e'
-        18: 3,  # 'f'
-        27: 3,  # 'g'
-        25: 2,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 1,  # 'l'
-        13: 1,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 2,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    13: {  # 'm'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 3,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 2,  # 'e'
-        18: 3,  # 'f'
-        27: 3,  # 'g'
-        25: 3,  # 'h'
-        3: 3,  # 'i'
-        24: 3,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 2,  # 'u'
-        32: 2,  # 'v'
-        57: 1,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 3,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    4: {  # 'n'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 2,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 1,  # 'f'
-        27: 2,  # 'g'
-        25: 3,  # 'h'
-        3: 2,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 3,  # 'p'
-        7: 2,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 2,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    15: {  # 'o'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 2,  # 'L'
-        20: 0,  # 'M'
-        46: 2,  # 'N'
-        42: 1,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 1,  # 'i'
-        24: 2,  # 'j'
-        10: 1,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 2,  # 'o'
-        26: 0,  # 'p'
-        7: 1,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 2,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 2,  # 'İ'
-        6: 3,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 2,  # 'ş'
-    },
-    26: {  # 'p'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 1,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 1,  # 'h'
-        3: 2,  # 'i'
-        24: 3,  # 'j'
-        10: 1,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 2,  # 'r'
-        8: 1,  # 's'
-        9: 1,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 1,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    7: {  # 'r'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 1,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 2,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 1,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 3,  # 'h'
-        3: 2,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 3,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    8: {  # 's'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 2,  # 'i'
-        24: 3,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 3,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 2,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    9: {  # 't'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 2,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 2,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 3,  # 'v'
-        57: 0,  # 'w'
-        58: 2,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    14: {  # 'u'
-        23: 3,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 2,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 3,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 2,  # 'Z'
-        1: 2,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 2,  # 'e'
-        18: 2,  # 'f'
-        27: 3,  # 'g'
-        25: 3,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 3,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 2,  # 'v'
-        57: 2,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 3,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    32: {  # 'v'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 1,  # 'j'
-        10: 1,  # 'k'
-        5: 3,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 1,  # 'r'
-        8: 2,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 1,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    57: {  # 'w'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 1,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 1,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 1,  # 's'
-        9: 0,  # 't'
-        14: 1,  # 'u'
-        32: 0,  # 'v'
-        57: 2,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    58: {  # 'x'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 1,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 1,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 2,  # 'i'
-        24: 2,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 2,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 1,  # 'r'
-        8: 2,  # 's'
-        9: 1,  # 't'
-        14: 0,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    11: {  # 'y'
-        23: 1,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 2,  # 'i'
-        24: 1,  # 'j'
-        10: 2,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 2,  # 'r'
-        8: 1,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 1,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 3,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    22: {  # 'z'
-        23: 2,  # 'A'
-        37: 2,  # 'B'
-        47: 1,  # 'C'
-        39: 2,  # 'D'
-        29: 3,  # 'E'
-        52: 1,  # 'F'
-        36: 2,  # 'G'
-        45: 2,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 2,  # 'N'
-        42: 2,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 3,  # 'T'
-        51: 2,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 1,  # 'Z'
-        1: 1,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 2,  # 'd'
-        2: 2,  # 'e'
-        18: 3,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 2,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 0,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 3,  # 'y'
-        22: 2,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 2,  # 'Ü'
-        59: 1,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 2,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 3,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 2,  # 'ş'
-    },
-    63: {  # '·'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 0,  # 'd'
-        2: 1,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 0,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    54: {  # 'Ç'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 1,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 1,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 1,  # 'b'
-        28: 0,  # 'c'
-        12: 1,  # 'd'
-        2: 0,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 0,  # 'h'
-        3: 3,  # 'i'
-        24: 0,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 2,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 2,  # 'r'
-        8: 0,  # 's'
-        9: 1,  # 't'
-        14: 0,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 2,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    50: {  # 'Ö'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 1,  # 'D'
-        29: 2,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 2,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 1,  # 'N'
-        42: 2,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 2,  # 'd'
-        2: 0,  # 'e'
-        18: 1,  # 'f'
-        27: 1,  # 'g'
-        25: 1,  # 'h'
-        3: 2,  # 'i'
-        24: 0,  # 'j'
-        10: 2,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 3,  # 'n'
-        15: 2,  # 'o'
-        26: 2,  # 'p'
-        7: 3,  # 'r'
-        8: 1,  # 's'
-        9: 2,  # 't'
-        14: 0,  # 'u'
-        32: 1,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 2,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    55: {  # 'Ü'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 1,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 1,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 1,  # 'l'
-        13: 1,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 1,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 1,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 0,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    59: {  # 'â'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 0,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 2,  # 'm'
-        4: 0,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 2,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    33: {  # 'ç'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 3,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 0,  # 'Z'
-        1: 0,  # 'a'
-        21: 3,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 0,  # 'e'
-        18: 2,  # 'f'
-        27: 1,  # 'g'
-        25: 3,  # 'h'
-        3: 3,  # 'i'
-        24: 0,  # 'j'
-        10: 3,  # 'k'
-        5: 0,  # 'l'
-        13: 0,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 3,  # 'r'
-        8: 2,  # 's'
-        9: 3,  # 't'
-        14: 0,  # 'u'
-        32: 2,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 1,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    61: {  # 'î'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 0,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 0,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 2,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 1,  # 'j'
-        10: 0,  # 'k'
-        5: 0,  # 'l'
-        13: 1,  # 'm'
-        4: 1,  # 'n'
-        15: 0,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 1,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 1,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 1,  # 'î'
-        34: 0,  # 'ö'
-        17: 0,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 1,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    34: {  # 'ö'
-        23: 0,  # 'A'
-        37: 1,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 1,  # 'G'
-        45: 1,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 1,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 2,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 1,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 2,  # 'c'
-        12: 1,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 2,  # 'h'
-        3: 1,  # 'i'
-        24: 2,  # 'j'
-        10: 1,  # 'k'
-        5: 2,  # 'l'
-        13: 3,  # 'm'
-        4: 2,  # 'n'
-        15: 2,  # 'o'
-        26: 0,  # 'p'
-        7: 0,  # 'r'
-        8: 3,  # 's'
-        9: 1,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 1,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 0,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 1,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    17: {  # 'ü'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 0,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 1,  # 'J'
-        16: 1,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 0,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 0,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 0,  # 'c'
-        12: 1,  # 'd'
-        2: 3,  # 'e'
-        18: 1,  # 'f'
-        27: 2,  # 'g'
-        25: 0,  # 'h'
-        3: 1,  # 'i'
-        24: 1,  # 'j'
-        10: 2,  # 'k'
-        5: 3,  # 'l'
-        13: 2,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 2,  # 'p'
-        7: 2,  # 'r'
-        8: 3,  # 's'
-        9: 2,  # 't'
-        14: 3,  # 'u'
-        32: 1,  # 'v'
-        57: 1,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 2,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    30: {  # 'ğ'
-        23: 0,  # 'A'
-        37: 2,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 1,  # 'M'
-        46: 2,  # 'N'
-        42: 2,  # 'O'
-        48: 1,  # 'P'
-        44: 1,  # 'R'
-        35: 0,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 2,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 0,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 2,  # 'e'
-        18: 0,  # 'f'
-        27: 0,  # 'g'
-        25: 0,  # 'h'
-        3: 0,  # 'i'
-        24: 3,  # 'j'
-        10: 1,  # 'k'
-        5: 2,  # 'l'
-        13: 3,  # 'm'
-        4: 0,  # 'n'
-        15: 1,  # 'o'
-        26: 0,  # 'p'
-        7: 1,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 2,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 2,  # 'İ'
-        6: 2,  # 'ı'
-        40: 2,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    41: {  # 'İ'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 1,  # 'D'
-        29: 1,  # 'E'
-        52: 0,  # 'F'
-        36: 2,  # 'G'
-        45: 2,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 2,  # 'P'
-        44: 0,  # 'R'
-        35: 1,  # 'S'
-        31: 1,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 0,  # 'Z'
-        1: 1,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 2,  # 'd'
-        2: 1,  # 'e'
-        18: 0,  # 'f'
-        27: 3,  # 'g'
-        25: 2,  # 'h'
-        3: 2,  # 'i'
-        24: 2,  # 'j'
-        10: 2,  # 'k'
-        5: 0,  # 'l'
-        13: 1,  # 'm'
-        4: 3,  # 'n'
-        15: 1,  # 'o'
-        26: 1,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 2,  # 't'
-        14: 0,  # 'u'
-        32: 0,  # 'v'
-        57: 1,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 1,  # 'Ü'
-        59: 1,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 1,  # 'ö'
-        17: 1,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-    6: {  # 'ı'
-        23: 2,  # 'A'
-        37: 0,  # 'B'
-        47: 0,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 2,  # 'J'
-        16: 3,  # 'K'
-        49: 0,  # 'L'
-        20: 3,  # 'M'
-        46: 1,  # 'N'
-        42: 0,  # 'O'
-        48: 0,  # 'P'
-        44: 0,  # 'R'
-        35: 0,  # 'S'
-        31: 2,  # 'T'
-        51: 0,  # 'U'
-        38: 0,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 1,  # 'Z'
-        1: 3,  # 'a'
-        21: 2,  # 'b'
-        28: 1,  # 'c'
-        12: 3,  # 'd'
-        2: 3,  # 'e'
-        18: 3,  # 'f'
-        27: 3,  # 'g'
-        25: 2,  # 'h'
-        3: 3,  # 'i'
-        24: 3,  # 'j'
-        10: 3,  # 'k'
-        5: 3,  # 'l'
-        13: 3,  # 'm'
-        4: 3,  # 'n'
-        15: 0,  # 'o'
-        26: 3,  # 'p'
-        7: 3,  # 'r'
-        8: 3,  # 's'
-        9: 3,  # 't'
-        14: 3,  # 'u'
-        32: 3,  # 'v'
-        57: 1,  # 'w'
-        58: 1,  # 'x'
-        11: 3,  # 'y'
-        22: 0,  # 'z'
-        63: 1,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 2,  # 'ç'
-        61: 0,  # 'î'
-        34: 0,  # 'ö'
-        17: 3,  # 'ü'
-        30: 0,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 3,  # 'ı'
-        40: 0,  # 'Ş'
-        19: 0,  # 'ş'
-    },
-    40: {  # 'Ş'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 1,  # 'D'
-        29: 1,  # 'E'
-        52: 0,  # 'F'
-        36: 1,  # 'G'
-        45: 2,  # 'H'
-        53: 1,  # 'I'
-        60: 0,  # 'J'
-        16: 0,  # 'K'
-        49: 0,  # 'L'
-        20: 2,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 2,  # 'P'
-        44: 2,  # 'R'
-        35: 1,  # 'S'
-        31: 1,  # 'T'
-        51: 0,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 2,  # 'Y'
-        56: 1,  # 'Z'
-        1: 0,  # 'a'
-        21: 2,  # 'b'
-        28: 0,  # 'c'
-        12: 2,  # 'd'
-        2: 0,  # 'e'
-        18: 3,  # 'f'
-        27: 0,  # 'g'
-        25: 2,  # 'h'
-        3: 3,  # 'i'
-        24: 2,  # 'j'
-        10: 1,  # 'k'
-        5: 0,  # 'l'
-        13: 1,  # 'm'
-        4: 3,  # 'n'
-        15: 2,  # 'o'
-        26: 0,  # 'p'
-        7: 3,  # 'r'
-        8: 2,  # 's'
-        9: 2,  # 't'
-        14: 1,  # 'u'
-        32: 3,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 2,  # 'y'
-        22: 0,  # 'z'
-        63: 0,  # '·'
-        54: 0,  # 'Ç'
-        50: 0,  # 'Ö'
-        55: 1,  # 'Ü'
-        59: 0,  # 'â'
-        33: 0,  # 'ç'
-        61: 0,  # 'î'
-        34: 2,  # 'ö'
-        17: 1,  # 'ü'
-        30: 2,  # 'ğ'
-        41: 0,  # 'İ'
-        6: 2,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 2,  # 'ş'
-    },
-    19: {  # 'ş'
-        23: 0,  # 'A'
-        37: 0,  # 'B'
-        47: 1,  # 'C'
-        39: 0,  # 'D'
-        29: 0,  # 'E'
-        52: 2,  # 'F'
-        36: 1,  # 'G'
-        45: 0,  # 'H'
-        53: 0,  # 'I'
-        60: 0,  # 'J'
-        16: 3,  # 'K'
-        49: 2,  # 'L'
-        20: 0,  # 'M'
-        46: 1,  # 'N'
-        42: 1,  # 'O'
-        48: 1,  # 'P'
-        44: 1,  # 'R'
-        35: 1,  # 'S'
-        31: 0,  # 'T'
-        51: 1,  # 'U'
-        38: 1,  # 'V'
-        62: 0,  # 'W'
-        43: 1,  # 'Y'
-        56: 0,  # 'Z'
-        1: 3,  # 'a'
-        21: 1,  # 'b'
-        28: 2,  # 'c'
-        12: 0,  # 'd'
-        2: 3,  # 'e'
-        18: 0,  # 'f'
-        27: 2,  # 'g'
-        25: 1,  # 'h'
-        3: 1,  # 'i'
-        24: 0,  # 'j'
-        10: 2,  # 'k'
-        5: 2,  # 'l'
-        13: 3,  # 'm'
-        4: 0,  # 'n'
-        15: 0,  # 'o'
-        26: 1,  # 'p'
-        7: 3,  # 'r'
-        8: 0,  # 's'
-        9: 0,  # 't'
-        14: 3,  # 'u'
-        32: 0,  # 'v'
-        57: 0,  # 'w'
-        58: 0,  # 'x'
-        11: 0,  # 'y'
-        22: 2,  # 'z'
-        63: 0,  # '·'
-        54: 1,  # 'Ç'
-        50: 2,  # 'Ö'
-        55: 0,  # 'Ü'
-        59: 0,  # 'â'
-        33: 1,  # 'ç'
-        61: 1,  # 'î'
-        34: 2,  # 'ö'
-        17: 0,  # 'ü'
-        30: 1,  # 'ğ'
-        41: 1,  # 'İ'
-        6: 1,  # 'ı'
-        40: 1,  # 'Ş'
-        19: 1,  # 'ş'
-    },
-}
-
-# 255: Undefined characters that did not exist in training text
-# 254: Carriage/Return
-# 253: symbol (punctuation) that does not belong to word
-# 252: 0 - 9
-# 251: Control characters
-
-# Character Mapping Table(s):
-ISO_8859_9_TURKISH_CHAR_TO_ORDER = {
-    0: 255,  # '\x00'
-    1: 255,  # '\x01'
-    2: 255,  # '\x02'
-    3: 255,  # '\x03'
-    4: 255,  # '\x04'
-    5: 255,  # '\x05'
-    6: 255,  # '\x06'
-    7: 255,  # '\x07'
-    8: 255,  # '\x08'
-    9: 255,  # '\t'
-    10: 255,  # '\n'
-    11: 255,  # '\x0b'
-    12: 255,  # '\x0c'
-    13: 255,  # '\r'
-    14: 255,  # '\x0e'
-    15: 255,  # '\x0f'
-    16: 255,  # '\x10'
-    17: 255,  # '\x11'
-    18: 255,  # '\x12'
-    19: 255,  # '\x13'
-    20: 255,  # '\x14'
-    21: 255,  # '\x15'
-    22: 255,  # '\x16'
-    23: 255,  # '\x17'
-    24: 255,  # '\x18'
-    25: 255,  # '\x19'
-    26: 255,  # '\x1a'
-    27: 255,  # '\x1b'
-    28: 255,  # '\x1c'
-    29: 255,  # '\x1d'
-    30: 255,  # '\x1e'
-    31: 255,  # '\x1f'
-    32: 255,  # ' '
-    33: 255,  # '!'
-    34: 255,  # '"'
-    35: 255,  # '#'
-    36: 255,  # '$'
-    37: 255,  # '%'
-    38: 255,  # '&'
-    39: 255,  # "'"
-    40: 255,  # '('
-    41: 255,  # ')'
-    42: 255,  # '*'
-    43: 255,  # '+'
-    44: 255,  # ','
-    45: 255,  # '-'
-    46: 255,  # '.'
-    47: 255,  # '/'
-    48: 255,  # '0'
-    49: 255,  # '1'
-    50: 255,  # '2'
-    51: 255,  # '3'
-    52: 255,  # '4'
-    53: 255,  # '5'
-    54: 255,  # '6'
-    55: 255,  # '7'
-    56: 255,  # '8'
-    57: 255,  # '9'
-    58: 255,  # ':'
-    59: 255,  # ';'
-    60: 255,  # '<'
-    61: 255,  # '='
-    62: 255,  # '>'
-    63: 255,  # '?'
-    64: 255,  # '@'
-    65: 23,  # 'A'
-    66: 37,  # 'B'
-    67: 47,  # 'C'
-    68: 39,  # 'D'
-    69: 29,  # 'E'
-    70: 52,  # 'F'
-    71: 36,  # 'G'
-    72: 45,  # 'H'
-    73: 53,  # 'I'
-    74: 60,  # 'J'
-    75: 16,  # 'K'
-    76: 49,  # 'L'
-    77: 20,  # 'M'
-    78: 46,  # 'N'
-    79: 42,  # 'O'
-    80: 48,  # 'P'
-    81: 69,  # 'Q'
-    82: 44,  # 'R'
-    83: 35,  # 'S'
-    84: 31,  # 'T'
-    85: 51,  # 'U'
-    86: 38,  # 'V'
-    87: 62,  # 'W'
-    88: 65,  # 'X'
-    89: 43,  # 'Y'
-    90: 56,  # 'Z'
-    91: 255,  # '['
-    92: 255,  # '\\'
-    93: 255,  # ']'
-    94: 255,  # '^'
-    95: 255,  # '_'
-    96: 255,  # '`'
-    97: 1,  # 'a'
-    98: 21,  # 'b'
-    99: 28,  # 'c'
-    100: 12,  # 'd'
-    101: 2,  # 'e'
-    102: 18,  # 'f'
-    103: 27,  # 'g'
-    104: 25,  # 'h'
-    105: 3,  # 'i'
-    106: 24,  # 'j'
-    107: 10,  # 'k'
-    108: 5,  # 'l'
-    109: 13,  # 'm'
-    110: 4,  # 'n'
-    111: 15,  # 'o'
-    112: 26,  # 'p'
-    113: 64,  # 'q'
-    114: 7,  # 'r'
-    115: 8,  # 's'
-    116: 9,  # 't'
-    117: 14,  # 'u'
-    118: 32,  # 'v'
-    119: 57,  # 'w'
-    120: 58,  # 'x'
-    121: 11,  # 'y'
-    122: 22,  # 'z'
-    123: 255,  # '{'
-    124: 255,  # '|'
-    125: 255,  # '}'
-    126: 255,  # '~'
-    127: 255,  # '\x7f'
-    128: 180,  # '\x80'
-    129: 179,  # '\x81'
-    130: 178,  # '\x82'
-    131: 177,  # '\x83'
-    132: 176,  # '\x84'
-    133: 175,  # '\x85'
-    134: 174,  # '\x86'
-    135: 173,  # '\x87'
-    136: 172,  # '\x88'
-    137: 171,  # '\x89'
-    138: 170,  # '\x8a'
-    139: 169,  # '\x8b'
-    140: 168,  # '\x8c'
-    141: 167,  # '\x8d'
-    142: 166,  # '\x8e'
-    143: 165,  # '\x8f'
-    144: 164,  # '\x90'
-    145: 163,  # '\x91'
-    146: 162,  # '\x92'
-    147: 161,  # '\x93'
-    148: 160,  # '\x94'
-    149: 159,  # '\x95'
-    150: 101,  # '\x96'
-    151: 158,  # '\x97'
-    152: 157,  # '\x98'
-    153: 156,  # '\x99'
-    154: 155,  # '\x9a'
-    155: 154,  # '\x9b'
-    156: 153,  # '\x9c'
-    157: 152,  # '\x9d'
-    158: 151,  # '\x9e'
-    159: 106,  # '\x9f'
-    160: 150,  # '\xa0'
-    161: 149,  # '¡'
-    162: 148,  # '¢'
-    163: 147,  # '£'
-    164: 146,  # '¤'
-    165: 145,  # '¥'
-    166: 144,  # '¦'
-    167: 100,  # '§'
-    168: 143,  # '¨'
-    169: 142,  # '©'
-    170: 141,  # 'ª'
-    171: 140,  # '«'
-    172: 139,  # '¬'
-    173: 138,  # '\xad'
-    174: 137,  # '®'
-    175: 136,  # '¯'
-    176: 94,  # '°'
-    177: 80,  # '±'
-    178: 93,  # '²'
-    179: 135,  # '³'
-    180: 105,  # '´'
-    181: 134,  # 'µ'
-    182: 133,  # '¶'
-    183: 63,  # '·'
-    184: 132,  # '¸'
-    185: 131,  # '¹'
-    186: 130,  # 'º'
-    187: 129,  # '»'
-    188: 128,  # '¼'
-    189: 127,  # '½'
-    190: 126,  # '¾'
-    191: 125,  # '¿'
-    192: 124,  # 'À'
-    193: 104,  # 'Á'
-    194: 73,  # 'Â'
-    195: 99,  # 'Ã'
-    196: 79,  # 'Ä'
-    197: 85,  # 'Å'
-    198: 123,  # 'Æ'
-    199: 54,  # 'Ç'
-    200: 122,  # 'È'
-    201: 98,  # 'É'
-    202: 92,  # 'Ê'
-    203: 121,  # 'Ë'
-    204: 120,  # 'Ì'
-    205: 91,  # 'Í'
-    206: 103,  # 'Î'
-    207: 119,  # 'Ï'
-    208: 68,  # 'Ğ'
-    209: 118,  # 'Ñ'
-    210: 117,  # 'Ò'
-    211: 97,  # 'Ó'
-    212: 116,  # 'Ô'
-    213: 115,  # 'Õ'
-    214: 50,  # 'Ö'
-    215: 90,  # '×'
-    216: 114,  # 'Ø'
-    217: 113,  # 'Ù'
-    218: 112,  # 'Ú'
-    219: 111,  # 'Û'
-    220: 55,  # 'Ü'
-    221: 41,  # 'İ'
-    222: 40,  # 'Ş'
-    223: 86,  # 'ß'
-    224: 89,  # 'à'
-    225: 70,  # 'á'
-    226: 59,  # 'â'
-    227: 78,  # 'ã'
-    228: 71,  # 'ä'
-    229: 82,  # 'å'
-    230: 88,  # 'æ'
-    231: 33,  # 'ç'
-    232: 77,  # 'è'
-    233: 66,  # 'é'
-    234: 84,  # 'ê'
-    235: 83,  # 'ë'
-    236: 110,  # 'ì'
-    237: 75,  # 'í'
-    238: 61,  # 'î'
-    239: 96,  # 'ï'
-    240: 30,  # 'ğ'
-    241: 67,  # 'ñ'
-    242: 109,  # 'ò'
-    243: 74,  # 'ó'
-    244: 87,  # 'ô'
-    245: 102,  # 'õ'
-    246: 34,  # 'ö'
-    247: 95,  # '÷'
-    248: 81,  # 'ø'
-    249: 108,  # 'ù'
-    250: 76,  # 'ú'
-    251: 72,  # 'û'
-    252: 17,  # 'ü'
-    253: 6,  # 'ı'
-    254: 19,  # 'ş'
-    255: 107,  # 'ÿ'
-}
-
-ISO_8859_9_TURKISH_MODEL = SingleByteCharSetModel(
-    charset_name="ISO-8859-9",
-    language="Turkish",
-    char_to_order_map=ISO_8859_9_TURKISH_CHAR_TO_ORDER,
-    language_model=TURKISH_LANG_MODEL,
-    typical_positive_ratio=0.97029,
-    keep_ascii_letters=True,
-    alphabet="ABCDEFGHIJKLMNOPRSTUVYZabcdefghijklmnoprstuvyzÂÇÎÖÛÜâçîöûüĞğİıŞş",
-)

spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/pkg_resources/_vendor/pyparsing/results.py

@@ -1,760 +0,0 @@
-# results.py
-from collections.abc import MutableMapping, Mapping, MutableSequence, Iterator
-import pprint
-from weakref import ref as wkref
-from typing import Tuple, Any
-
-str_type: Tuple[type, ...] = (str, bytes)
-_generator_type = type((_ for _ in ()))
-
-
-class _ParseResultsWithOffset:
-    __slots__ = ["tup"]
-
-    def __init__(self, p1, p2):
-        self.tup = (p1, p2)
-
-    def __getitem__(self, i):
-        return self.tup[i]
-
-    def __getstate__(self):
-        return self.tup
-
-    def __setstate__(self, *args):
-        self.tup = args[0]
-
-
-class ParseResults:
-    """Structured parse results, to provide multiple means of access to
-    the parsed data:
-
-    - as a list (``len(results)``)
-    - by list index (``results[0], results[1]``, etc.)
-    - by attribute (``results.<results_name>`` - see :class:`ParserElement.set_results_name`)
-
-    Example::
-
-        integer = Word(nums)
-        date_str = (integer.set_results_name("year") + '/'
-                    + integer.set_results_name("month") + '/'
-                    + integer.set_results_name("day"))
-        # equivalent form:
-        # date_str = (integer("year") + '/'
-        #             + integer("month") + '/'
-        #             + integer("day"))
-
-        # parse_string returns a ParseResults object
-        result = date_str.parse_string("1999/12/31")
-
-        def test(s, fn=repr):
-            print("{} -> {}".format(s, fn(eval(s))))
-        test("list(result)")
-        test("result[0]")
-        test("result['month']")
-        test("result.day")
-        test("'month' in result")
-        test("'minutes' in result")
-        test("result.dump()", str)
-
-    prints::
-
-        list(result) -> ['1999', '/', '12', '/', '31']
-        result[0] -> '1999'
-        result['month'] -> '12'
-        result.day -> '31'
-        'month' in result -> True
-        'minutes' in result -> False
-        result.dump() -> ['1999', '/', '12', '/', '31']
-        - day: '31'
-        - month: '12'
-        - year: '1999'
-    """
-
-    _null_values: Tuple[Any, ...] = (None, [], "", ())
-
-    __slots__ = [
-        "_name",
-        "_parent",
-        "_all_names",
-        "_modal",
-        "_toklist",
-        "_tokdict",
-        "__weakref__",
-    ]
-
-    class List(list):
-        """
-        Simple wrapper class to distinguish parsed list results that should be preserved
-        as actual Python lists, instead of being converted to :class:`ParseResults`:
-
-            LBRACK, RBRACK = map(pp.Suppress, "[]")
-            element = pp.Forward()
-            item = ppc.integer
-            element_list = LBRACK + pp.delimited_list(element) + RBRACK
-
-            # add parse actions to convert from ParseResults to actual Python collection types
-            def as_python_list(t):
-                return pp.ParseResults.List(t.as_list())
-            element_list.add_parse_action(as_python_list)
-
-            element <<= item | element_list
-
-            element.run_tests('''
-                100
-                [2,3,4]
-                [[2, 1],3,4]
-                [(2, 1),3,4]
-                (2,3,4)
-                ''', post_parse=lambda s, r: (r[0], type(r[0])))
-
-        prints:
-
-            100
-            (100, <class 'int'>)
-
-            [2,3,4]
-            ([2, 3, 4], <class 'list'>)
-
-            [[2, 1],3,4]
-            ([[2, 1], 3, 4], <class 'list'>)
-
-        (Used internally by :class:`Group` when `aslist=True`.)
-        """
-
-        def __new__(cls, contained=None):
-            if contained is None:
-                contained = []
-
-            if not isinstance(contained, list):
-                raise TypeError(
-                    "{} may only be constructed with a list,"
-                    " not {}".format(cls.__name__, type(contained).__name__)
-                )
-
-            return list.__new__(cls)
-
-    def __new__(cls, toklist=None, name=None, **kwargs):
-        if isinstance(toklist, ParseResults):
-            return toklist
-        self = object.__new__(cls)
-        self._name = None
-        self._parent = None
-        self._all_names = set()
-
-        if toklist is None:
-            self._toklist = []
-        elif isinstance(toklist, (list, _generator_type)):
-            self._toklist = (
-                [toklist[:]]
-                if isinstance(toklist, ParseResults.List)
-                else list(toklist)
-            )
-        else:
-            self._toklist = [toklist]
-        self._tokdict = dict()
-        return self
-
-    # Performance tuning: we construct a *lot* of these, so keep this
-    # constructor as small and fast as possible
-    def __init__(
-        self, toklist=None, name=None, asList=True, modal=True, isinstance=isinstance
-    ):
-        self._modal = modal
-        if name is not None and name != "":
-            if isinstance(name, int):
-                name = str(name)
-            if not modal:
-                self._all_names = {name}
-            self._name = name
-            if toklist not in self._null_values:
-                if isinstance(toklist, (str_type, type)):
-                    toklist = [toklist]
-                if asList:
-                    if isinstance(toklist, ParseResults):
-                        self[name] = _ParseResultsWithOffset(
-                            ParseResults(toklist._toklist), 0
-                        )
-                    else:
-                        self[name] = _ParseResultsWithOffset(
-                            ParseResults(toklist[0]), 0
-                        )
-                    self[name]._name = name
-                else:
-                    try:
-                        self[name] = toklist[0]
-                    except (KeyError, TypeError, IndexError):
-                        if toklist is not self:
-                            self[name] = toklist
-                        else:
-                            self._name = name
-
-    def __getitem__(self, i):
-        if isinstance(i, (int, slice)):
-            return self._toklist[i]
-        else:
-            if i not in self._all_names:
-                return self._tokdict[i][-1][0]
-            else:
-                return ParseResults([v[0] for v in self._tokdict[i]])
-
-    def __setitem__(self, k, v, isinstance=isinstance):
-        if isinstance(v, _ParseResultsWithOffset):
-            self._tokdict[k] = self._tokdict.get(k, list()) + [v]
-            sub = v[0]
-        elif isinstance(k, (int, slice)):
-            self._toklist[k] = v
-            sub = v
-        else:
-            self._tokdict[k] = self._tokdict.get(k, list()) + [
-                _ParseResultsWithOffset(v, 0)
-            ]
-            sub = v
-        if isinstance(sub, ParseResults):
-            sub._parent = wkref(self)
-
-    def __delitem__(self, i):
-        if isinstance(i, (int, slice)):
-            mylen = len(self._toklist)
-            del self._toklist[i]
-
-            # convert int to slice
-            if isinstance(i, int):
-                if i < 0:
-                    i += mylen
-                i = slice(i, i + 1)
-            # get removed indices
-            removed = list(range(*i.indices(mylen)))
-            removed.reverse()
-            # fixup indices in token dictionary
-            for name, occurrences in self._tokdict.items():
-                for j in removed:
-                    for k, (value, position) in enumerate(occurrences):
-                        occurrences[k] = _ParseResultsWithOffset(
-                            value, position - (position > j)
-                        )
-        else:
-            del self._tokdict[i]
-
-    def __contains__(self, k) -> bool:
-        return k in self._tokdict
-
-    def __len__(self) -> int:
-        return len(self._toklist)
-
-    def __bool__(self) -> bool:
-        return not not (self._toklist or self._tokdict)
-
-    def __iter__(self) -> Iterator:
-        return iter(self._toklist)
-
-    def __reversed__(self) -> Iterator:
-        return iter(self._toklist[::-1])
-
-    def keys(self):
-        return iter(self._tokdict)
-
-    def values(self):
-        return (self[k] for k in self.keys())
-
-    def items(self):
-        return ((k, self[k]) for k in self.keys())
-
-    def haskeys(self) -> bool:
-        """
-        Since ``keys()`` returns an iterator, this method is helpful in bypassing
-        code that looks for the existence of any defined results names."""
-        return bool(self._tokdict)
-
-    def pop(self, *args, **kwargs):
-        """
-        Removes and returns item at specified index (default= ``last``).
-        Supports both ``list`` and ``dict`` semantics for ``pop()``. If
-        passed no argument or an integer argument, it will use ``list``
-        semantics and pop tokens from the list of parsed tokens. If passed
-        a non-integer argument (most likely a string), it will use ``dict``
-        semantics and pop the corresponding value from any defined results
-        names. A second default return value argument is supported, just as in
-        ``dict.pop()``.
-
-        Example::
-
-            numlist = Word(nums)[...]
-            print(numlist.parse_string("0 123 321")) # -> ['0', '123', '321']
-
-            def remove_first(tokens):
-                tokens.pop(0)
-            numlist.add_parse_action(remove_first)
-            print(numlist.parse_string("0 123 321")) # -> ['123', '321']
-
-            label = Word(alphas)
-            patt = label("LABEL") + Word(nums)[1, ...]
-            print(patt.parse_string("AAB 123 321").dump())
-
-            # Use pop() in a parse action to remove named result (note that corresponding value is not
-            # removed from list form of results)
-            def remove_LABEL(tokens):
-                tokens.pop("LABEL")
-                return tokens
-            patt.add_parse_action(remove_LABEL)
-            print(patt.parse_string("AAB 123 321").dump())
-
-        prints::
-
-            ['AAB', '123', '321']
-            - LABEL: 'AAB'
-
-            ['AAB', '123', '321']
-        """
-        if not args:
-            args = [-1]
-        for k, v in kwargs.items():
-            if k == "default":
-                args = (args[0], v)
-            else:
-                raise TypeError(
-                    "pop() got an unexpected keyword argument {!r}".format(k)
-                )
-        if isinstance(args[0], int) or len(args) == 1 or args[0] in self:
-            index = args[0]
-            ret = self[index]
-            del self[index]
-            return ret
-        else:
-            defaultvalue = args[1]
-            return defaultvalue
-
-    def get(self, key, default_value=None):
-        """
-        Returns named result matching the given key, or if there is no
-        such name, then returns the given ``default_value`` or ``None`` if no
-        ``default_value`` is specified.
-
-        Similar to ``dict.get()``.
-
-        Example::
-
-            integer = Word(nums)
-            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
-
-            result = date_str.parse_string("1999/12/31")
-            print(result.get("year")) # -> '1999'
-            print(result.get("hour", "not specified")) # -> 'not specified'
-            print(result.get("hour")) # -> None
-        """
-        if key in self:
-            return self[key]
-        else:
-            return default_value
-
-    def insert(self, index, ins_string):
-        """
-        Inserts new element at location index in the list of parsed tokens.
-
-        Similar to ``list.insert()``.
-
-        Example::
-
-            numlist = Word(nums)[...]
-            print(numlist.parse_string("0 123 321")) # -> ['0', '123', '321']
-
-            # use a parse action to insert the parse location in the front of the parsed results
-            def insert_locn(locn, tokens):
-                tokens.insert(0, locn)
-            numlist.add_parse_action(insert_locn)
-            print(numlist.parse_string("0 123 321")) # -> [0, '0', '123', '321']
-        """
-        self._toklist.insert(index, ins_string)
-        # fixup indices in token dictionary
-        for name, occurrences in self._tokdict.items():
-            for k, (value, position) in enumerate(occurrences):
-                occurrences[k] = _ParseResultsWithOffset(
-                    value, position + (position > index)
-                )
-
-    def append(self, item):
-        """
-        Add single element to end of ``ParseResults`` list of elements.
-
-        Example::
-
-            numlist = Word(nums)[...]
-            print(numlist.parse_string("0 123 321")) # -> ['0', '123', '321']
-
-            # use a parse action to compute the sum of the parsed integers, and add it to the end
-            def append_sum(tokens):
-                tokens.append(sum(map(int, tokens)))
-            numlist.add_parse_action(append_sum)
-            print(numlist.parse_string("0 123 321")) # -> ['0', '123', '321', 444]
-        """
-        self._toklist.append(item)
-
-    def extend(self, itemseq):
-        """
-        Add sequence of elements to end of ``ParseResults`` list of elements.
-
-        Example::
-
-            patt = Word(alphas)[1, ...]
-
-            # use a parse action to append the reverse of the matched strings, to make a palindrome
-            def make_palindrome(tokens):
-                tokens.extend(reversed([t[::-1] for t in tokens]))
-                return ''.join(tokens)
-            patt.add_parse_action(make_palindrome)
-            print(patt.parse_string("lskdj sdlkjf lksd")) # -> 'lskdjsdlkjflksddsklfjkldsjdksl'
-        """
-        if isinstance(itemseq, ParseResults):
-            self.__iadd__(itemseq)
-        else:
-            self._toklist.extend(itemseq)
-
-    def clear(self):
-        """
-        Clear all elements and results names.
-        """
-        del self._toklist[:]
-        self._tokdict.clear()
-
-    def __getattr__(self, name):
-        try:
-            return self[name]
-        except KeyError:
-            if name.startswith("__"):
-                raise AttributeError(name)
-            return ""
-
-    def __add__(self, other) -> "ParseResults":
-        ret = self.copy()
-        ret += other
-        return ret
-
-    def __iadd__(self, other) -> "ParseResults":
-        if other._tokdict:
-            offset = len(self._toklist)
-            addoffset = lambda a: offset if a < 0 else a + offset
-            otheritems = other._tokdict.items()
-            otherdictitems = [
-                (k, _ParseResultsWithOffset(v[0], addoffset(v[1])))
-                for k, vlist in otheritems
-                for v in vlist
-            ]
-            for k, v in otherdictitems:
-                self[k] = v
-                if isinstance(v[0], ParseResults):
-                    v[0]._parent = wkref(self)
-
-        self._toklist += other._toklist
-        self._all_names |= other._all_names
-        return self
-
-    def __radd__(self, other) -> "ParseResults":
-        if isinstance(other, int) and other == 0:
-            # useful for merging many ParseResults using sum() builtin
-            return self.copy()
-        else:
-            # this may raise a TypeError - so be it
-            return other + self
-
-    def __repr__(self) -> str:
-        return "{}({!r}, {})".format(type(self).__name__, self._toklist, self.as_dict())
-
-    def __str__(self) -> str:
-        return (
-            "["
-            + ", ".join(
-                [
-                    str(i) if isinstance(i, ParseResults) else repr(i)
-                    for i in self._toklist
-                ]
-            )
-            + "]"
-        )
-
-    def _asStringList(self, sep=""):
-        out = []
-        for item in self._toklist:
-            if out and sep:
-                out.append(sep)
-            if isinstance(item, ParseResults):
-                out += item._asStringList()
-            else:
-                out.append(str(item))
-        return out
-
-    def as_list(self) -> list:
-        """
-        Returns the parse results as a nested list of matching tokens, all converted to strings.
-
-        Example::
-
-            patt = Word(alphas)[1, ...]
-            result = patt.parse_string("sldkj lsdkj sldkj")
-            # even though the result prints in string-like form, it is actually a pyparsing ParseResults
-            print(type(result), result) # -> <class 'pyparsing.ParseResults'> ['sldkj', 'lsdkj', 'sldkj']
-
-            # Use as_list() to create an actual list
-            result_list = result.as_list()
-            print(type(result_list), result_list) # -> <class 'list'> ['sldkj', 'lsdkj', 'sldkj']
-        """
-        return [
-            res.as_list() if isinstance(res, ParseResults) else res
-            for res in self._toklist
-        ]
-
-    def as_dict(self) -> dict:
-        """
-        Returns the named parse results as a nested dictionary.
-
-        Example::
-
-            integer = Word(nums)
-            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
-
-            result = date_str.parse_string('12/31/1999')
-            print(type(result), repr(result)) # -> <class 'pyparsing.ParseResults'> (['12', '/', '31', '/', '1999'], {'day': [('1999', 4)], 'year': [('12', 0)], 'month': [('31', 2)]})
-
-            result_dict = result.as_dict()
-            print(type(result_dict), repr(result_dict)) # -> <class 'dict'> {'day': '1999', 'year': '12', 'month': '31'}
-
-            # even though a ParseResults supports dict-like access, sometime you just need to have a dict
-            import json
-            print(json.dumps(result)) # -> Exception: TypeError: ... is not JSON serializable
-            print(json.dumps(result.as_dict())) # -> {"month": "31", "day": "1999", "year": "12"}
-        """
-
-        def to_item(obj):
-            if isinstance(obj, ParseResults):
-                return obj.as_dict() if obj.haskeys() else [to_item(v) for v in obj]
-            else:
-                return obj
-
-        return dict((k, to_item(v)) for k, v in self.items())
-
-    def copy(self) -> "ParseResults":
-        """
-        Returns a new copy of a :class:`ParseResults` object.
-        """
-        ret = ParseResults(self._toklist)
-        ret._tokdict = self._tokdict.copy()
-        ret._parent = self._parent
-        ret._all_names |= self._all_names
-        ret._name = self._name
-        return ret
-
-    def get_name(self):
-        r"""
-        Returns the results name for this token expression. Useful when several
-        different expressions might match at a particular location.
-
-        Example::
-
-            integer = Word(nums)
-            ssn_expr = Regex(r"\d\d\d-\d\d-\d\d\d\d")
-            house_number_expr = Suppress('#') + Word(nums, alphanums)
-            user_data = (Group(house_number_expr)("house_number")
-                        | Group(ssn_expr)("ssn")
-                        | Group(integer)("age"))
-            user_info = user_data[1, ...]
-
-            result = user_info.parse_string("22 111-22-3333 #221B")
-            for item in result:
-                print(item.get_name(), ':', item[0])
-
-        prints::
-
-            age : 22
-            ssn : 111-22-3333
-            house_number : 221B
-        """
-        if self._name:
-            return self._name
-        elif self._parent:
-            par = self._parent()
-
-            def find_in_parent(sub):
-                return next(
-                    (
-                        k
-                        for k, vlist in par._tokdict.items()
-                        for v, loc in vlist
-                        if sub is v
-                    ),
-                    None,
-                )
-
-            return find_in_parent(self) if par else None
-        elif (
-            len(self) == 1
-            and len(self._tokdict) == 1
-            and next(iter(self._tokdict.values()))[0][1] in (0, -1)
-        ):
-            return next(iter(self._tokdict.keys()))
-        else:
-            return None
-
-    def dump(self, indent="", full=True, include_list=True, _depth=0) -> str:
-        """
-        Diagnostic method for listing out the contents of
-        a :class:`ParseResults`. Accepts an optional ``indent`` argument so
-        that this string can be embedded in a nested display of other data.
-
-        Example::
-
-            integer = Word(nums)
-            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
-
-            result = date_str.parse_string('1999/12/31')
-            print(result.dump())
-
-        prints::
-
-            ['1999', '/', '12', '/', '31']
-            - day: '31'
-            - month: '12'
-            - year: '1999'
-        """
-        out = []
-        NL = "\n"
-        out.append(indent + str(self.as_list()) if include_list else "")
-
-        if full:
-            if self.haskeys():
-                items = sorted((str(k), v) for k, v in self.items())
-                for k, v in items:
-                    if out:
-                        out.append(NL)
-                    out.append("{}{}- {}: ".format(indent, ("  " * _depth), k))
-                    if isinstance(v, ParseResults):
-                        if v:
-                            out.append(
-                                v.dump(
-                                    indent=indent,
-                                    full=full,
-                                    include_list=include_list,
-                                    _depth=_depth + 1,
-                                )
-                            )
-                        else:
-                            out.append(str(v))
-                    else:
-                        out.append(repr(v))
-            if any(isinstance(vv, ParseResults) for vv in self):
-                v = self
-                for i, vv in enumerate(v):
-                    if isinstance(vv, ParseResults):
-                        out.append(
-                            "\n{}{}[{}]:\n{}{}{}".format(
-                                indent,
-                                ("  " * (_depth)),
-                                i,
-                                indent,
-                                ("  " * (_depth + 1)),
-                                vv.dump(
-                                    indent=indent,
-                                    full=full,
-                                    include_list=include_list,
-                                    _depth=_depth + 1,
-                                ),
-                            )
-                        )
-                    else:
-                        out.append(
-                            "\n%s%s[%d]:\n%s%s%s"
-                            % (
-                                indent,
-                                ("  " * (_depth)),
-                                i,
-                                indent,
-                                ("  " * (_depth + 1)),
-                                str(vv),
-                            )
-                        )
-
-        return "".join(out)
-
-    def pprint(self, *args, **kwargs):
-        """
-        Pretty-printer for parsed results as a list, using the
-        `pprint <https://docs.python.org/3/library/pprint.html>`_ module.
-        Accepts additional positional or keyword args as defined for
-        `pprint.pprint <https://docs.python.org/3/library/pprint.html#pprint.pprint>`_ .
-
-        Example::
-
-            ident = Word(alphas, alphanums)
-            num = Word(nums)
-            func = Forward()
-            term = ident | num | Group('(' + func + ')')
-            func <<= ident + Group(Optional(delimited_list(term)))
-            result = func.parse_string("fna a,b,(fnb c,d,200),100")
-            result.pprint(width=40)
-
-        prints::
-
-            ['fna',
-             ['a',
-              'b',
-              ['(', 'fnb', ['c', 'd', '200'], ')'],
-              '100']]
-        """
-        pprint.pprint(self.as_list(), *args, **kwargs)
-
-    # add support for pickle protocol
-    def __getstate__(self):
-        return (
-            self._toklist,
-            (
-                self._tokdict.copy(),
-                self._parent is not None and self._parent() or None,
-                self._all_names,
-                self._name,
-            ),
-        )
-
-    def __setstate__(self, state):
-        self._toklist, (self._tokdict, par, inAccumNames, self._name) = state
-        self._all_names = set(inAccumNames)
-        if par is not None:
-            self._parent = wkref(par)
-        else:
-            self._parent = None
-
-    def __getnewargs__(self):
-        return self._toklist, self._name
-
-    def __dir__(self):
-        return dir(type(self)) + list(self.keys())
-
-    @classmethod
-    def from_dict(cls, other, name=None) -> "ParseResults":
-        """
-        Helper classmethod to construct a ``ParseResults`` from a ``dict``, preserving the
-        name-value relations as results names. If an optional ``name`` argument is
-        given, a nested ``ParseResults`` will be returned.
-        """
-
-        def is_iterable(obj):
-            try:
-                iter(obj)
-            except Exception:
-                return False
-            else:
-                return not isinstance(obj, str_type)
-
-        ret = cls([])
-        for k, v in other.items():
-            if isinstance(v, Mapping):
-                ret += cls.from_dict(v, name=k)
-            else:
-                ret += cls([v], name=k, asList=is_iterable(v))
-        if name is not None:
-            ret = cls([ret], name=name)
-        return ret
-
-    asList = as_list
-    asDict = as_dict
-    getName = get_name
-
-
-MutableMapping.register(ParseResults)
-MutableSequence.register(ParseResults)

spaces/Bart92/RVC_HF/infer/modules/train/extract/extract_f0_print.py

@@ -1,298 +0,0 @@
-import os
-import sys
-import traceback
-
-import parselmouth
-
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-import logging
-from LazyImport import lazyload
-
-import numpy as np
-import pyworld
-torchcrepe = lazyload("torchcrepe")  # Fork Feature. Crepe algo for training and preprocess
-torch = lazyload("torch")
-#from torch import Tensor  # Fork Feature. Used for pitch prediction for torch crepe.
-tqdm = lazyload("tqdm")
-from infer.lib.audio import load_audio
-
-logging.getLogger("numba").setLevel(logging.WARNING)
-from multiprocessing import Process
-
-exp_dir = sys.argv[1]
-f = open("%s/extract_f0_feature.log" % exp_dir, "a+")
-
-DoFormant = False
-Quefrency = 1.0
-Timbre = 1.0
-
-def printt(strr):
-    print(strr)
-    f.write(f"{strr}\n")
-    f.flush()
-
-
-n_p = int(sys.argv[2])
-f0method = sys.argv[3]
-extraction_crepe_hop_length = 0
-try:
-    extraction_crepe_hop_length = int(sys.argv[4])
-except:
-    print("Temp Issue. echl is not being passed with argument!")
-    extraction_crepe_hop_length = 128
-
-class FeatureInput(object):
-    def __init__(self, samplerate=16000, hop_size=160):
-        self.fs = samplerate
-        self.hop = hop_size
-
-        self.f0_bin = 256
-        self.f0_max = 1100.0
-        self.f0_min = 50.0
-        self.f0_mel_min = 1127 * np.log(1 + self.f0_min / 700)
-        self.f0_mel_max = 1127 * np.log(1 + self.f0_max / 700)
-
-    def mncrepe(self, method, x, p_len, crepe_hop_length):
-        f0 = None
-        torch_device_index = 0
-        torch_device = torch.device(
-            f"cuda:{torch_device_index % torch.cuda.device_count()}"
-        ) if torch.cuda.is_available() \
-            else torch.device("mps") if torch.backends.mps.is_available() \
-            else torch.device("cpu")
-
-        audio = torch.from_numpy(x.astype(np.float32)).to(torch_device, copy=True)
-        audio /= torch.quantile(torch.abs(audio), 0.999)
-        audio = torch.unsqueeze(audio, dim=0)
-        if audio.ndim == 2 and audio.shape[0] > 1:
-            audio = torch.mean(audio, dim=0, keepdim=True).detach()
-        audio = audio.detach()
-        
-        if method == 'mangio-crepe':
-            pitch: torch.Tensor = torchcrepe.predict(
-                audio,
-                self.fs,
-                crepe_hop_length,
-                self.f0_min,
-                self.f0_max,
-                "full",
-                batch_size=crepe_hop_length * 2,
-                device=torch_device,
-                pad=True,
-            )
-            p_len = p_len or x.shape[0] // crepe_hop_length
-            # Resize the pitch
-            source = np.array(pitch.squeeze(0).cpu().float().numpy())
-            source[source < 0.001] = np.nan
-            target = np.interp(
-                np.arange(0, len(source) * p_len, len(source)) / p_len,
-                np.arange(0, len(source)),
-                source,
-            )
-            f0 = np.nan_to_num(target)
-            
-        elif method == 'crepe':
-            batch_size = 512
-            audio = torch.tensor(np.copy(x))[None].float()
-            f0, pd = torchcrepe.predict(
-                audio,
-                self.fs,
-                160,
-                self.f0_min,
-                self.f0_max,
-                "full",
-                batch_size=batch_size,
-                device=torch_device,
-                return_periodicity=True,
-            )
-            pd = torchcrepe.filter.median(pd, 3)
-            f0 = torchcrepe.filter.mean(f0, 3)
-            f0[pd < 0.1] = 0
-            f0 = f0[0].cpu().numpy()
-            f0 = f0[1:]  # Get rid of extra first frame
-
-        return f0
-
-    def get_pm(self, x, p_len):
-        f0 = parselmouth.Sound(x, self.fs).to_pitch_ac(
-            time_step=160 / 16000,
-            voicing_threshold=0.6,
-            pitch_floor=self.f0_min,
-            pitch_ceiling=self.f0_max,
-        ).selected_array["frequency"]
-        
-        return np.pad(
-            f0,
-            [[max(0, (p_len - len(f0) + 1) // 2), max(0, p_len - len(f0) - (p_len - len(f0) + 1) // 2)]],
-            mode="constant"
-        )
-
-    def get_harvest(self, x):
-        f0_spectral = pyworld.harvest(
-            x.astype(np.double),
-            fs=self.fs,
-            f0_ceil=self.f0_max,
-            f0_floor=self.f0_min,
-            frame_period=1000 * self.hop / self.fs,
-        )
-        return pyworld.stonemask(x.astype(np.double), *f0_spectral, self.fs)
-
-    def get_dio(self, x):
-        f0_spectral = pyworld.dio(
-            x.astype(np.double),
-            fs=self.fs,
-            f0_ceil=self.f0_max,
-            f0_floor=self.f0_min,
-            frame_period=1000 * self.hop / self.fs,
-        )
-        return pyworld.stonemask(x.astype(np.double), *f0_spectral, self.fs)
-
-    def get_rmvpe(self, x):
-        if hasattr(self, "model_rmvpe") == False:
-                from infer.lib.rmvpe import RMVPE
-
-                print("Loading rmvpe model")
-                self.model_rmvpe = RMVPE(
-                    "assets/rmvpe/rmvpe.pt", is_half=False, device="cpu"
-                )
-        return self.model_rmvpe.infer_from_audio(x, thred=0.03)
-        
-    def get_rmvpe_dml(self, x):
-        ...
-
-    def get_f0_method_dict(self):
-        return {
-            "pm": self.get_pm,
-            "harvest": self.get_harvest,
-            "dio": self.get_dio,
-            "rmvpe": self.get_rmvpe
-        }
-
-    def get_f0_hybrid_computation(
-        self,
-        methods_str,
-        x,
-        p_len,
-        crepe_hop_length,
-    ):
-        # Get various f0 methods from input to use in the computation stack
-        s = methods_str
-        s = s.split("hybrid")[1]
-        s = s.replace("[", "").replace("]", "")
-        methods = s.split("+")
-        f0_computation_stack = []
-
-        for method in methods:
-            if method in self.f0_method_dict:
-                f0 = self.f0_method_dict[method](x, p_len) if method == 'pm' else self.f0_method_dict[method](x)
-                f0_computation_stack.append(f0)
-            elif method == 'crepe' or method == 'mangio-crepe':
-                self.the_other_complex_function(x, method, crepe_hop_length)
-
-        if len(f0_computation_stack) != 0:        
-            f0_median_hybrid = np.nanmedian(f0_computation_stack, axis=0) if len(f0_computation_stack)>1 else f0_computation_stack[0]
-            return f0_median_hybrid
-        else:
-            raise ValueError("No valid methods were provided")
-
-    def compute_f0(self, path, f0_method, crepe_hop_length):
-        x = load_audio(path, self.fs, DoFormant, Quefrency, Timbre)
-        p_len = x.shape[0] // self.hop
-
-        if f0_method in self.f0_method_dict:
-            f0 = self.f0_method_dict[f0_method](x, p_len) if f0_method == 'pm' else self.f0_method_dict[f0_method](x)
-        elif f0_method in ['crepe', 'mangio-crepe']:
-            f0 = self.mncrepe(f0_method, x, p_len, crepe_hop_length)
-        elif "hybrid" in f0_method:  # EXPERIMENTAL
-            # Perform hybrid median pitch estimation
-            f0 = self.get_f0_hybrid_computation(
-                f0_method,
-                x,
-                p_len,
-                crepe_hop_length,
-            )
-        return f0
-
-    def coarse_f0(self, f0):
-        f0_mel = 1127 * np.log(1 + f0 / 700)
-        f0_mel[f0_mel > 0] = (f0_mel[f0_mel > 0] - self.f0_mel_min) * (
-            self.f0_bin - 2
-        ) / (self.f0_mel_max - self.f0_mel_min) + 1
-
-        # use 0 or 1
-        f0_mel[f0_mel <= 1] = 1
-        f0_mel[f0_mel > self.f0_bin - 1] = self.f0_bin - 1
-        f0_coarse = np.rint(f0_mel).astype(int)
-        assert f0_coarse.max() <= 255 and f0_coarse.min() >= 1, (
-            f0_coarse.max(),
-            f0_coarse.min(),
-        )
-        return f0_coarse
-
-    def go(self, paths, f0_method, crepe_hop_length, thread_n):
-        if len(paths) == 0:
-            printt("no-f0-todo")
-            return
-        with tqdm.tqdm(total=len(paths), leave=True, position=thread_n) as pbar:
-            description = f"thread:{thread_n}, f0ing, Hop-Length:{crepe_hop_length}"
-            pbar.set_description(description)
-                
-            for idx, (inp_path, opt_path1, opt_path2) in enumerate(paths):
-                try:
-                    if (
-                        os.path.exists(opt_path1 + ".npy") 
-                        and os.path.exists(opt_path2 + ".npy")
-                    ):
-                        pbar.update(1)
-                        continue
-
-                    featur_pit = self.compute_f0(inp_path, f0_method, crepe_hop_length)
-                    np.save(
-                        opt_path2,
-                        featur_pit,
-                        allow_pickle=False,
-                    )  # nsf
-                    coarse_pit = self.coarse_f0(featur_pit)
-                    np.save(
-                        opt_path1,
-                        coarse_pit,
-                        allow_pickle=False,
-                    )  # ori
-                    pbar.update(1)
-                except Exception as e:
-                    printt(f"f0fail-{idx}-{inp_path}-{traceback.format_exc()}")
-
-
-if __name__ == "__main__":
-    # exp_dir=r"E:\codes\py39\dataset\mi-test"
-    # n_p=16
-    # f = open("%s/log_extract_f0.log"%exp_dir, "w")
-    printt(sys.argv)
-    featureInput = FeatureInput()
-    paths = []
-    inp_root = "%s/1_16k_wavs" % (exp_dir)
-    opt_root1 = "%s/2a_f0" % (exp_dir)
-    opt_root2 = "%s/2b-f0nsf" % (exp_dir)
-
-    os.makedirs(opt_root1, exist_ok=True)
-    os.makedirs(opt_root2, exist_ok=True)
-    for name in sorted(list(os.listdir(inp_root))):
-        inp_path = "%s/%s" % (inp_root, name)
-        if "spec" in inp_path:
-            continue
-        opt_path1 = "%s/%s" % (opt_root1, name)
-        opt_path2 = "%s/%s" % (opt_root2, name)
-        paths.append([inp_path, opt_path1, opt_path2])
-
-    ps = []
-    print("Using f0 method: " + f0method)
-    for i in range(n_p):
-        p = Process(
-            target=featureInput.go,
-            args=(paths[i::n_p], f0method, extraction_crepe_hop_length, i),
-        )
-        ps.append(p)
-        p.start()
-    for i in range(n_p):
-        ps[i].join()

spaces/BennoKrojer/imagecode-demo/README.md

@@ -1,13 +0,0 @@
----
-title: Imagecode
-emoji: 📊
-colorFrom: blue
-colorTo: indigo
-sdk: streamlit
-sdk_version: 1.2.0
-app_file: app.py
-pinned: false
-license: afl-3.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

spaces/Benson/text-generation/Examples/Descarga De La Apk Zoro.io.md

@@ -1,101 +0,0 @@
-<br />
-<h1>Zoro.io APK Descargar: Cómo ver anime en línea gratis</h1>
- <p>Si eres un fan del anime, es posible que hayas oído hablar de Zoro.io, un nuevo y popular sitio de streaming de anime que te permite ver miles de programas de anime de varios géneros de forma gratuita. Pero ¿sabía usted que también se puede descargar Zoro.io APK e instalarlo en su dispositivo Android para disfrutar del anime sobre la marcha? En este artículo, te mostraremos cómo hacerlo, así como las características, pros y contras, alternativas y reseñas de Zoro.io.</p>
- <h2>¿Qué es Zoro.io? </h2>
- <p>Zoro.io es un sitio de streaming de anime gratuito que se lanzó en 2020. Tiene una gran colección de series de anime y películas de diferentes géneros, como shonen, shoujo, seinen, josei, ecchi, harem, isekai, mecha, y más. Puede ver anime en línea con subtítulos en inglés o doblaje en calidad ultra HD sin ningún registro o pago. También puedes descargar episodios de anime para verlos sin conexión más tarde. </p>
-<h2>descarga de la apk zoro.io</h2><br /><p><b><b>Download Zip</b> &#128279; <a href="https://bltlly.com/2v6KkZ">https://bltlly.com/2v6KkZ</a></b></p><br /><br />
- <h3>Características de Zoro.io</h3>
- <p>Algunas de las características que hacen que Zoro.io se destaque de otros sitios de streaming de anime son:</p>
- <ul>
-<li>No hay anuncios o ventanas emergentes. Zoro.io afirma ser el sitio más seguro para anime gratis, ya que no tiene ningún anuncio molesto o ventanas emergentes que podrían dañar su dispositivo o datos. </li>
-<li>Biblioteca grande y actualizada. Zoro.io tiene miles de títulos de anime de varios géneros y categorías. Puedes encontrar los últimos episodios de series de anime en curso, así como títulos clásicos y difíciles de encontrar. </li>
-<li>Opciones de subcama o doblado. Puede elegir ver anime con subtítulos en inglés o doblaje, dependiendo de su preferencia. También puede cambiar entre ellos fácilmente. </li>
-<li>Calidad Ultra HD. Puede transmitir o descargar episodios de anime en calidad ultra HD (1080p o superior), lo que le da una mejor experiencia de visualización. </li>
-
-</ul>
- <h3>Pros y contras de Zoro.io</h3>
- <p>Como cualquier otro sitio, Zoro.io tiene sus propias ventajas y desventajas. Aquí están algunas de ellas:</p>
- <tabla>
-<tr>
-<th>Pros</th>
-<th>Contras</th>
-</tr>
-<tr>
-<td>Libre y seguro de usar</td>
-<td>No es un sitio de streaming legal</td>
-</tr>
-<tr>
-<td>Biblioteca grande y actualizada</td>
-<td>Opciones de servidor limitadas</td>
-</tr>
-<tr>
-<td>Opciones de subcama o doblado</td>
-<td>Posibles problemas de carga o almacenamiento en búfer</td>
-</tr>
-<tr>
-<td>Calidad Ultra HD</td>
-<td>Requiere VPN para algunas regiones</td>
-</tr>
-<tr>
-<td>Interfaz fácil de usar</td>
-<td>No hay soporte al cliente o sistema de retroalimentación</td>
-</tr>
-</tabla>
- <h2>Cómo descargar e instalar Zoro.io APK en dispositivos Android</h2>
- <p>Si desea ver anime en su dispositivo Android con Zoro.io, es necesario descargar e instalar su archivo APK primero. Estos son los pasos para hacerlo:</p>
- <h3>Paso 1: Habilitar fuentes desconocidas</h3>
- <p>Antes de que pueda instalar Zoro.io APK, es necesario habilitar fuentes desconocidas en su dispositivo Android. Esto le permitirá instalar aplicaciones desde fuentes distintas de Google Play Store. Para hacer esto, vaya a Configuración > Seguridad > Fuentes desconocidas y conéctelo. Puede que vea un mensaje de advertencia, pero simplemente toque Aceptar para continuar. </p>
- <h3>Paso 2: Descargar Zoro.io archivo APK</h3>
- <p>Siguiente, es necesario descargar el archivo APK Zoro.io de una fuente confiable. Puede utilizar este enlace para descargar la última versión de Zoro.io APK (v1.0.0) a partir de junio de 2023. El tamaño del archivo es de unos 15 MB y es compatible con Android 4.4 y superior. Una vez que haya descargado el archivo, puede encontrarlo en su carpeta de descargas o en la barra de notificaciones. </p>
- <h3>Paso 3: Instalar el archivo APK Zoro.io</h3>
- <p>Después de haber descargado el archivo APK Zoro.io, puede instalarlo tocando en él y siguiendo las instrucciones en la pantalla. Es posible que vea un mensaje solicitando permisos, pero solo toque Instalar para continuar. El proceso de instalación debe tardar unos segundos. </p>
- <h3>Paso 4: Inicie la aplicación Zoro.io y disfrute</h3>
-
- <h2>Cómo ver anime en línea con Zoro.io</h2>
- <p>Ver anime en línea con Zoro.io es muy fácil y conveniente. Aquí hay algunos consejos para ayudarle a disfrutar de su experiencia de streaming de anime:</p>
- <h3>Navegar por Género, Fecha de lanzamiento, Popularidad, o alfabéticamente</h3>
- <p>Puede navegar por la biblioteca de anime por género, fecha de lanzamiento, popularidad o alfabéticamente. Puede encontrar estas opciones en la barra de menú superior de la aplicación. También puede utilizar la barra de búsqueda para buscar títulos o palabras clave específicas. Verás una lista de programas de anime que coinciden con tus criterios, junto con sus imágenes de portada, calificaciones, géneros y número de episodios. </p>
-<p></p>
- <h3>Elija la versión subcama o doblada</h3>
- <p>Puede elegir ver anime con subtítulos en inglés o doblaje, dependiendo de su preferencia. También puede cambiar entre ellos fácilmente. Para hacer esto, toque en el programa de anime que desea ver y luego toque en el botón Subbed o Dubbed en la esquina inferior derecha de la pantalla. Verá una lista de episodios disponibles en el idioma elegido. </p>
- <h3> Transmitir o descargar episodios de anime en calidad Ultra HD</h3>
- <p>Puede transmitir o descargar episodios de anime en calidad ultra HD (1080p o superior), lo que le da una mejor experiencia de visualización. Para transmitir un episodio, simplemente toque en él y luego toque en el botón Reproducir en la esquina inferior izquierda de la pantalla. Verá un reproductor de vídeo con algunos controles, como pausa, reanudación, salto, volumen y pantalla completa. Para descargar un episodio, simplemente toque en él y luego toque en el botón Descargar en la esquina inferior derecha de la pantalla. Verá una barra de progreso que muestra el estado de la descarga. Puede encontrar los episodios descargados en la sección Descargas de la aplicación. </p> <h2>Alternativas a Zoro.io</h2>
- <p>Zoro.io no es el único sitio que ofrece streaming de anime gratis. Hay muchas otras alternativas que puedes probar si quieres ver anime online. Estas son algunas de ellas:</p>
- <h3>AnimeHeaven</h3>
-
- <h3>Animestreams</h3>
- <p>Animestreams es un sitio de streaming de anime gratuito que tiene un diseño simple y minimalista. Tiene una colección decente de series de anime y películas de varios géneros y categorías. Puede ver anime en línea con subtítulos en inglés o doblaje en calidad HD sin ningún tipo de registro o pago. También puede solicitar anime que no están disponibles en el sitio. Animestreams tiene una interfaz básica que hace que sea fácil navegar y encontrar el anime que desea ver. Puede navegar por género, alfabéticamente o al azar. También puede usar la barra de búsqueda para buscar títulos o palabras clave específicos. </p>
- <h3>Hulu</h3>
- <p>Hulu es un servicio de streaming de pago que ofrece una amplia gama de contenido, incluyendo anime. Tiene una gran colección de series de anime y películas de diferentes géneros y categorías. Puede ver anime en línea con subtítulos en inglés o doblaje en calidad HD con una tarifa de suscripción. También puedes descargar episodios de anime para verlos sin conexión más tarde con un plan premium. Hulu tiene una interfaz profesional y sofisticada que hace que sea fácil acceder y disfrutar del contenido. Puede navegar por género, popularidad, original o recomendado. También puede usar la barra de búsqueda para buscar títulos o palabras clave específicos. </p>
- <h2>Opiniones de Zoro.io</h2>
- <p>Zoro.io ha recibido críticas mixtas de sus usuarios. Algunos usuarios han elogiado el sitio por sus características, calidad y seguridad, mientras que otros se han quejado de su legalidad, fiabilidad y disponibilidad. Aquí hay algunos ejemplos de comentarios positivos y negativos de Zoro.io:</p>
- <h3>Comentarios positivos</h3>
- <ul>
-<li>"Zoro.io es el mejor sitio para la transmisión de anime gratis. No tiene anuncios, no hay ventanas emergentes, no hay registro, no hay pago, y no hay problemas. Tiene una enorme biblioteca de programas de anime y películas de varios géneros y categorías. Tiene opciones de subcama y doblado en calidad ultra HD. Tiene una interfaz fácil de usar que hace que sea fácil encontrar el anime que desea ver. Me encanta Zoro.io y lo recomiendo a todos los fans del anime." </li>
-
-<li>"Zoro.io es un gran sitio para la transmisión de anime gratis. Tiene una biblioteca grande y actualizada de series de anime y películas de varios géneros y categorías. Tiene opciones de subcama y doblado en calidad ultra HD. Tiene una experiencia de transmisión rápida y suave sin problemas de almacenamiento en búfer o carga. Tiene una interfaz limpia y limpia que hace que sea fácil de navegar y encontrar el anime que desea ver. Me gusta ver anime en Zoro.io todos los días." </li>
-</ul>
- <h3>Comentarios negativos</h3>
- <ul>
-<li>"Zoro.io no es un sitio de streaming legal. No tiene los derechos o licencias para transmitir el contenido de anime en su sitio. Está violando las leyes de derechos de autor y las regulaciones de los creadores originales y distribuidores del contenido de anime. Está arriesgando acciones legales y sanciones de las autoridades y los propietarios del contenido del anime."</li>
-<li>"Zoro.io no es un sitio de streaming confiable. No tiene suficientes opciones de servidor para soportar la alta demanda de sus usuarios. A menudo se bloquea o se desconecta debido a problemas técnicos o de mantenimiento. No está disponible en algunas regiones debido a restricciones geográficas o bloques de ISP."</li>
-<li>"Zoro.io no es un buen sitio de streaming. No tiene buena calidad o variedad de contenido de anime en su sitio. A menudo tiene enlaces rotos, episodios faltantes, subtítulos incorrectos o videos de baja resolución en su sitio. No tiene ningún sistema de atención al cliente o retroalimentación en su sitio."</li>
-</ul>
- <h2>Conclusión</h2>
-
- <h2>Preguntas frecuentes</h2>
- <p>Aquí hay algunas preguntas frecuentes sobre Zoro.io:</p>
- <ol>
-<li>¿Es seguro usar Zoro.io? </li>
-<p>Zoro.io afirma ser el sitio más seguro para la transmisión gratuita de anime, ya que no tiene ningún anuncio o ventanas emergentes que puedan dañar su dispositivo o datos. Sin embargo, dado que Zoro.io no es un sitio de streaming legal, podría ser arriesgado usarlo sin una VPN o software antivirus. </p>
-<li>¿Es legal usar Zoro.io? </li>
-<p>Zoro.io no es un sitio de streaming legal, ya que no tiene los derechos o licencias para transmitir el contenido de anime en su sitio. Está violando las leyes de derechos de autor y las regulaciones de los creadores originales y distribuidores del contenido de anime. Se arriesga a acciones legales y sanciones de las autoridades y los propietarios del contenido del anime. </p>
-<li>¿Cómo puedo acceder a Zoro.io en mi región? </li>
-<p>Zoro.io podría no estar disponible en algunas regiones debido a restricciones geográficas o bloques de ISP. Si desea acceder a Zoro.io en su región, debe usar un servicio VPN que pueda evitar estas restricciones y bloqueos. Puede elegir un servidor VPN que se encuentre en una región donde Zoro.io sea accesible. </p>
-<li>¿Cómo puedo descargar episodios de anime de Zoro.io? </li>
-<p>Puede descargar episodios de anime de Zoro.io pulsando en el episodio que desea ver y luego pulsando en el botón Descargar en la esquina inferior derecha de la pantalla. Verá una barra de progreso que muestra el estado de la descarga. Puede encontrar los episodios descargados en la sección Descargas de la aplicación. </p>
-<li>¿Cómo puedo contactar a Zoro.io para apoyo o retroalimentación? </li>
-<p>Zoro.io no tiene ningún sistema de atención al cliente o retroalimentación en su sitio. No puede ponerse en contacto con Zoro.io para cualquier problema o sugerencia con respecto a su servicio o contenido. Solo puede confiar en foros o comunidades en línea para obtener ayuda o información sobre Zoro.io.</p>
-</ol></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/Descargar Cabra Simulador Goatz.md

@@ -1,146 +0,0 @@
-
-<h1>Descargar Goat Simulator GoatZ: El juego de supervivencia más loco jamás</h1>
-<p>¿Alguna vez te has preguntado cómo sería ser una cabra en un apocalipsis zombi? Bueno, no te preguntes más, porque <strong>Goat Simulator GoatZ</strong> está aquí para hacer tus sueños realidad. Este juego es la última adición oficial al universo <strong>Goat Simulator</strong>, y es un buen contendiente para la cosa más tonta de venir de Coffee Stain Studios todavía - CABRAS Y ZOMBIES EN EL MISMO JUEGO! </p>
-<h2>descargar cabra simulador goatz</h2><br /><p><b><b>Download Zip</b> ->>> <a href="https://bltlly.com/2v6KWv">https://bltlly.com/2v6KWv</a></b></p><br /><br />
-<p>En este artículo, te diremos todo lo que necesitas saber sobre <strong>Goat Simulator GoatZ</strong>, incluyendo sus características, plataformas, cómo descargarlo y nuestra revisión de él. Si estás listo para desatar tu cabra interior y causar estragos en un mundo post-apocalíptico lleno de zombies, sigue leyendo. </p>
- <h2>Características del simulador de cabra GoatZ</h2>
-<p><strong>Goat Simulator GoatZ</strong> no es solo un simulador de cabra normal. También es una parodia de juegos de supervivencia zombi, como <em>DayZ</em>, <em>The Walking Dead</em>, y <em>The Last of Us</em>. Tiene un sistema obligatorio de elaboración, un sistema de hambre y salud, un nuevo mapa y toneladas de zombies para luchar o infectar. Estas son algunas de las características que hacen de este juego tan loco y divertido:</p>
- <h3>Modo zombi: Convertirse en una cabra zombi e infectar a todos</h3>
-<p>Uno de los modos principales de <strong>Goat Simulator GoatZ</strong> es el modo zombi, donde empiezas como una cabra zombi infectada y tu objetivo es propagar el virus a todos los que ves. Puedes golpearte la cabeza, lamer, escupir o usar armas para convertir humanos y animales en zombis. También puedes encontrar cerebros para comer para restaurar tu salud. Sin embargo, ten cuidado, porque hay diferentes tipos de zombies que intentarán matarte, como zombis escupidores, zombis de carga, zombis fantasmas y rusos desnudos.</p>
- <h3>Sistema de elaboración: Haga sus propias armas y artículos</h3>
-
- <h3>Modo de supervivencia: Comer, beber y mantenerse con vida</h3>
-<p>Si quieres una experiencia más desafiante, puedes probar el modo de supervivencia de <strong>Goat Simulator GoatZ</strong>, donde tienes que comer y beber regularmente para sobrevivir. Puedes encontrar comida y agua en el ambiente, como hierba, flores, frutas, latas de refresco y más. También puedes comer los cadáveres de los humanos y animales que matas o infectas. Sin embargo, hay que tener cuidado de no comer alimentos podridos o beber agua contaminada, ya que te harán enfermar y perder la salud. </p>
- <h3>Nuevo mapa: Explora un mundo post-apocalíptico lleno de secretos</h3>
-<p><strong>Goat Simulator GoatZ</strong> presenta un nuevo mapa que es más grande y diverso que el original <strong>Goat Simulator</strong> mapa. El mapa se encuentra en un mundo post-apocalíptico que ha sido invadido por zombies y otros peligros. Puede explorar diferentes áreas, como una ciudad, una granja, un carnaval, una prisión, una base militar y más. También puedes encontrar secretos ocultos, como huevos de Pascua, referencias, chistes y logros. </p>
-<p></p>
- <h3>Cabras desbloqueables: Descubre nuevas cabras con poderes especiales</h3>
-<p>Mientras juegas <strong>Goat Simulator GoatZ</strong>, puedes desbloquear nuevas cabras que tienen poderes y habilidades especiales. Puedes desbloquearlos completando ciertas tareas o encontrándolas en el mapa. Algunas de las cabras desbloqueables son:</p>
-<ul>
-<li>La cabra constructora: Una cabra que puede construir estructuras y vehículos a partir de chatarra. </li>
-<li>La cabra con clase: Una cabra que lleva un monóculo y un sombrero de copa y puede convocar a los pingüinos. </li>
-<li>El Deadgoa7: Una cabra que lleva una máscara y toca música electrónica. </li>
-<li>La Cabra Dona: Una cabra que tiene la forma de una dona y puede rodar alrededor. </li>
-<li>El inventario Cabra: Una cabra que tiene un sistema de inventario y puede llevar artículos. </li>
-<li>La vieja cabra: Una cabra que es vieja y frágil y puede invocar cabras del pasado. </li>
-<li>La Cabra Repulsiva: Una cabra que es fea y repugnante y puede hacer que todos vomiten. </li>
-
-<li>La cabra tornado: Una cabra que puede crear tornados y aspirar todo. </li>
-<li>La cabra vudú: Una cabra que puede controlar a otras cabras con una muñeca vudú. </li>
-</ul>
- <h2>Plataformas de Goat Simulator GoatZ</h2>
-<p><strong>Goat Simulator GoatZ</strong> está disponible en varias plataformas, como PC, móvil, consola y Switch. Cada plataforma tiene sus propias ventajas y desventajas. Aquí hay una tabla de comparación de las plataformas:</p>
- <tabla>
-<tr>
-<th>Plataforma</th>
-<th>Precio</th>
-<th>Características</th>
-<th>Pros</th>
-<th>Contras</th>
-</tr>
-<tr>
-<td>PC (Steam)</td>
-<td>$4.99 para DLC o $9.99 para el paquete con el juego básico</td>
-<td>Logros, soporte de taller, mods</td>
-<td>Mejores gráficos, más contenido, más personalización</td>
-<td>Requiere juego base para jugar DLC</td>
-</tr>
-<tr>
-<td>Móvil (Android/iOS)</td>
-<td>$4.99 para la aplicación </td>
-<td>Controles táctiles </td>
-<td>Más barato que la versión para PC, portátil </td>
-<td>Gráficos inferiores, menos contenido, sin mods </td>
-</tr>
-<tr>
-<td>Consola (Xbox/PlayStation)</td>
-<td>$9.99 para el juego o $19.99 para el paquete con el juego básico </td>
-<td>Multijugador local </td>
-<td>Mejores gráficos que la versión móvil, sofá cooperativo </td>
-<td>Más caro que la versión para PC, menos contenido que la versión para PC </td>
-</tr>
-<tr>
-<td>Cambiar (Nintendo)</td>
-<td>$12 . 99 para el juego o $29.99 para el paquete con el juego de base y otros dos DLCs </td>
-<td>Portabilidad, DLC incluidos </td>
-<td>Más contenido que la versión de consola, se puede reproducir en cualquier lugar </td>
-<td>La versión más cara, gráficos inferiores que las versiones de PC y consola </td>
-</tr>
-</tabla>
- <h2>Cómo descargar Goat Simulator GoatZ</h2>
-<p>Si usted está interesado en jugar <strong>Goat Simulator GoatZ</strong>, tendrá que descargarlo desde la plataforma de su elección. Estos son los pasos para descargarlo para cada plataforma:</p>
- <h3>PC (vapor)</h3>
-<ol>
-<li>Abre Steam e inicia sesión en tu cuenta. </li>
-<li>Buscar <strong>Goat Simulator GoatZ</strong> en la tienda. </li>
-
-<li>Añadir a su carrito y proceder a la caja. </li>
-<li>Una vez hecho el pago, el juego será añadido a su biblioteca. </li>
-<li>Descargue e instale el juego desde su biblioteca. </li>
-<li>Iniciar el juego y disfrutar. </li>
-</ol>
- <h3>Móvil (Android/iOS)</h3>
-<ol>
-<li>Abre Google Play o App Store en tu dispositivo. </li>
-<li>Buscar <strong>Goat Simulator GoatZ</strong> en la tienda. </li>
-<li> Seleccione la aplicación y toque en el botón comprar. </li>
-<li>Introduzca sus datos de pago y confirme la compra. </li>
-<li>La aplicación se descargará e instalará en su dispositivo. </li>
-<li>Abre la aplicación y disfruta. </li>
-</ol>
- <h3>Consola (Xbox/PlayStation)</h3>
-<ol>
-<li>Encienda su consola e inicie sesión en su cuenta. </li>
-<li>Ir a la tienda de Xbox o PlayStation en su consola. </li>
-<li>Buscar <strong>Goat Simulator GoatZ</strong> en la tienda. </li>
-<li>Seleccione la opción de juego o la opción de paquete con el juego base. </li>
-<li>Añadir a su carrito y proceder a la caja. </li>
-<li>Una vez hecho el pago, el juego será añadido a su biblioteca. </li>
-<li>Descargue e instale el juego desde su biblioteca. </li>
-<li>Iniciar el juego y disfrutar. </li>
-</ol>
- <h3>Cambiar (Nintendo)</h3>
-<ol>
-<li>Activa tu Switch e inicia sesión en tu cuenta. </li>
-<li>Ir a la Nintendo eShop en su Switch.</li>
-<li>Buscar <strong>Goat Simulator GoatZ</strong> en la tienda. </li>
-<li>Seleccione la opción de juego o la opción de paquete con el juego base y otros dos DLC.</li>
-<li>Añadir a su carrito y proceder a la caja. </li>
-<li>Una vez hecho el pago, el juego será añadido a su biblioteca. </li>
-<li>Descargue e instale el juego desde su biblioteca. </li>
-<li>Iniciar el juego y disfrutar. </li>
-</ol>
- <h2>Revisión de Goat Simulator GoatZ</h2>
-
- <h3>Ventajas: Divertido, caótico, creativo y adictivo juego</h3>
-<p>Lo mejor de <strong >Goat Simulator GoatZ</strong> es el humor y el caos que crea. Puedes hacer casi todo lo que quieras como una cabra, desde destruir edificios, autos y personas, hasta volar, nadar y bailar. También puedes usar tu lengua para lamer y arrastrar objetos y criaturas. Puede crear sus propias armas y objetos desde el sistema de elaboración y utilizarlos para causar más caos. También puedes infectar a todos con el virus zombie y verlos convertirse en muertos vivientes sin sentido. El juego está lleno de chistes, referencias, parodias y sorpresas que te harán reír en voz alta. El juego también es muy creativo y adictivo, ya que puedes explorar el mapa y encontrar nuevos secretos, desbloquear nuevas cabras y logros completos. </p>
- <h3>Contras: Glitchy, sin pulir, repetitivo y caro para algunas plataformas</h3>
-<p>Lo peor de <strong>Goat Simulator GoatZ</strong> es la falta de pulido y calidad que muestra. El juego está lleno de fallos, errores, errores y tonterías que pueden arruinar la experiencia de juego. El juego también es muy poco pulido, ya que tiene malos gráficos, sonido y controles. El juego también es muy repetitivo, ya que no tiene historia real, objetivos o progresión. El juego también es muy caro para algunas plataformas, especialmente las versiones de consola y Switch, que cuestan más que las versiones para PC y móviles, pero ofrecen menos contenido y características. </p>
- <h3>Veredicto: Un juego hilarante y absurdo que no es para todos pero vale la pena probar para los fans de las cabras y zombies</h3>
-
- <h2>Conclusión</h2>
-<p><strong>Goat Simulator GoatZ</strong> es el juego de supervivencia más loco que te permite jugar como una cabra en un apocalipsis zombi. Es una parodia de los juegos de supervivencia zombie que cuenta con un modo zombie, un sistema de elaboración, un modo de supervivencia, un nuevo mapa y cabras desbloqueables. Está disponible en varias plataformas como PC, móvil, consola y Switch. Es un juego que es divertido, caótico, creativo y adictivo, pero también brillante, sin pulir, repetitivo y caro para algunas plataformas. Es un juego que no es para todos, pero vale la pena probar para los fans de las cabras y zombies. </p>
-<p>Si estás interesado en jugar a <strong>Goat Simulator GoatZ</strong>, puedes descargarlo desde la plataforma de tu elección siguiendo los pasos que hemos proporcionado en este artículo. Esperamos que hayas disfrutado leyendo este artículo y hayas aprendido algo nuevo sobre este juego. Ahora adelante y descarga <strong>Goat Simulator GoatZ</strong> y diviértete! </p>
- <h2>Preguntas frecuentes</h2>
-<h3>Q1. ¿Es Goat Simulator GoatZ un juego independiente o un DLC? </h3>
-<p>A1. Goat Simulator GoatZ es un juego independiente y un DLC dependiendo de la plataforma. Para PC (Steam), es un DLC que requiere el juego base <strong>Goat Simulator</strong> para jugar. Para móvil (Android/iOS), consola (Xbox/PlayStation) e Switch (Nintendo), es un juego independiente que no requiere el juego base para jugar. </p>
- <h3>Q2. ¿Cuánto tiempo es Goat Simulator GoatZ? </h3>
-<p>A2. Goat Simulator GoatZ no tiene una longitud fija o un objetivo final. Es un juego de sandbox de mundo abierto que te permite jugar el tiempo que quieras o hasta que te aburras. Sin embargo, si quieres completar todos los logros y desbloquear todas las cabras, puede que te lleve entre 10 y 15 horas. </p>
- <h3>Q3. ¿Es Goat Simulator GoatZ multijugador? </h3>
-
- <h3>Q4. ¿Es Goat Simulator GoatZ adecuado para niños? </h3>
-<p>A4. Goat Simulator GoatZ no es adecuado para niños menores de 13 años. Es un juego que contiene violencia, sangre, blasfemia, humor crudo y referencias a drogas y alcohol. Es un juego que está clasificado M para Maduro por la ESRB, 16+ por PEGI, y 15+ por USK. Es un juego que está destinado a los adultos que pueden apreciar su sátira y absurdo. </p>
- <h3>Q5. ¿Cuáles son algunos consejos y trucos para jugar Goat Simulator GoatZ? </h3>
-<p>A5. Aquí hay algunos consejos y trucos que podrían ayudarle a disfrutar de Goat Simulator GoatZ más:</p>
-<ul>
-<li>Utilice el botón de cámara lenta para realizar acrobacias épicas y combos. </li>
-<li>Utilice el botón ragdoll para evitar daños y caídas desde alturas. </li>
-<li>Usa el botón de lamer para agarrar y lanzar objetos y criaturas. </li>
-<li> Utilice el botón de inventario para acceder a su menú de elaboración y elementos. </li>
-<li>Utilice el botón especial para activar el poder especial de su cabra. </li>
-<li>Explora el mapa y encuentra secretos ocultos, huevos de Pascua y logros. </li>
-<li>Pruebe diferentes cabras y vea lo que pueden hacer. </li>
-<li>Diviértete y no te tomes el juego demasiado en serio. </li>
-</ul></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_internal/commands/check.py

@@ -1,52 +0,0 @@
-import logging
-from optparse import Values
-from typing import List
-
-from pip._internal.cli.base_command import Command
-from pip._internal.cli.status_codes import ERROR, SUCCESS
-from pip._internal.operations.check import (
-    check_package_set,
-    create_package_set_from_installed,
-)
-from pip._internal.utils.misc import write_output
-
-logger = logging.getLogger(__name__)
-
-
-class CheckCommand(Command):
-    """Verify installed packages have compatible dependencies."""
-
-    usage = """
-      %prog [options]"""
-
-    def run(self, options: Values, args: List[str]) -> int:
-        package_set, parsing_probs = create_package_set_from_installed()
-        missing, conflicting = check_package_set(package_set)
-
-        for project_name in missing:
-            version = package_set[project_name].version
-            for dependency in missing[project_name]:
-                write_output(
-                    "%s %s requires %s, which is not installed.",
-                    project_name,
-                    version,
-                    dependency[0],
-                )
-
-        for project_name in conflicting:
-            version = package_set[project_name].version
-            for dep_name, dep_version, req in conflicting[project_name]:
-                write_output(
-                    "%s %s has requirement %s, but you have %s %s.",
-                    project_name,
-                    version,
-                    req,
-                    dep_name,
-                    dep_version,
-                )
-
-        if missing or conflicting or parsing_probs:
-            return ERROR
-        else:
-            write_output("No broken requirements found.")
-            return SUCCESS

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_internal/req/constructors.py

@@ -1,506 +0,0 @@
-"""Backing implementation for InstallRequirement's various constructors
-
-The idea here is that these formed a major chunk of InstallRequirement's size
-so, moving them and support code dedicated to them outside of that class
-helps creates for better understandability for the rest of the code.
-
-These are meant to be used elsewhere within pip to create instances of
-InstallRequirement.
-"""
-
-import logging
-import os
-import re
-from typing import Dict, List, Optional, Set, Tuple, Union
-
-from pip._vendor.packaging.markers import Marker
-from pip._vendor.packaging.requirements import InvalidRequirement, Requirement
-from pip._vendor.packaging.specifiers import Specifier
-
-from pip._internal.exceptions import InstallationError
-from pip._internal.models.index import PyPI, TestPyPI
-from pip._internal.models.link import Link
-from pip._internal.models.wheel import Wheel
-from pip._internal.req.req_file import ParsedRequirement
-from pip._internal.req.req_install import InstallRequirement
-from pip._internal.utils.filetypes import is_archive_file
-from pip._internal.utils.misc import is_installable_dir
-from pip._internal.utils.packaging import get_requirement
-from pip._internal.utils.urls import path_to_url
-from pip._internal.vcs import is_url, vcs
-
-__all__ = [
-    "install_req_from_editable",
-    "install_req_from_line",
-    "parse_editable",
-]
-
-logger = logging.getLogger(__name__)
-operators = Specifier._operators.keys()
-
-
-def _strip_extras(path: str) -> Tuple[str, Optional[str]]:
-    m = re.match(r"^(.+)(\[[^\]]+\])$", path)
-    extras = None
-    if m:
-        path_no_extras = m.group(1)
-        extras = m.group(2)
-    else:
-        path_no_extras = path
-
-    return path_no_extras, extras
-
-
-def convert_extras(extras: Optional[str]) -> Set[str]:
-    if not extras:
-        return set()
-    return get_requirement("placeholder" + extras.lower()).extras
-
-
-def parse_editable(editable_req: str) -> Tuple[Optional[str], str, Set[str]]:
-    """Parses an editable requirement into:
-        - a requirement name
-        - an URL
-        - extras
-        - editable options
-    Accepted requirements:
-        svn+http://blahblah@rev#egg=Foobar[baz]&subdirectory=version_subdir
-        .[some_extra]
-    """
-
-    url = editable_req
-
-    # If a file path is specified with extras, strip off the extras.
-    url_no_extras, extras = _strip_extras(url)
-
-    if os.path.isdir(url_no_extras):
-        # Treating it as code that has already been checked out
-        url_no_extras = path_to_url(url_no_extras)
-
-    if url_no_extras.lower().startswith("file:"):
-        package_name = Link(url_no_extras).egg_fragment
-        if extras:
-            return (
-                package_name,
-                url_no_extras,
-                get_requirement("placeholder" + extras.lower()).extras,
-            )
-        else:
-            return package_name, url_no_extras, set()
-
-    for version_control in vcs:
-        if url.lower().startswith(f"{version_control}:"):
-            url = f"{version_control}+{url}"
-            break
-
-    link = Link(url)
-
-    if not link.is_vcs:
-        backends = ", ".join(vcs.all_schemes)
-        raise InstallationError(
-            f"{editable_req} is not a valid editable requirement. "
-            f"It should either be a path to a local project or a VCS URL "
-            f"(beginning with {backends})."
-        )
-
-    package_name = link.egg_fragment
-    if not package_name:
-        raise InstallationError(
-            "Could not detect requirement name for '{}', please specify one "
-            "with #egg=your_package_name".format(editable_req)
-        )
-    return package_name, url, set()
-
-
-def check_first_requirement_in_file(filename: str) -> None:
-    """Check if file is parsable as a requirements file.
-
-    This is heavily based on ``pkg_resources.parse_requirements``, but
-    simplified to just check the first meaningful line.
-
-    :raises InvalidRequirement: If the first meaningful line cannot be parsed
-        as an requirement.
-    """
-    with open(filename, encoding="utf-8", errors="ignore") as f:
-        # Create a steppable iterator, so we can handle \-continuations.
-        lines = (
-            line
-            for line in (line.strip() for line in f)
-            if line and not line.startswith("#")  # Skip blank lines/comments.
-        )
-
-        for line in lines:
-            # Drop comments -- a hash without a space may be in a URL.
-            if " #" in line:
-                line = line[: line.find(" #")]
-            # If there is a line continuation, drop it, and append the next line.
-            if line.endswith("\\"):
-                line = line[:-2].strip() + next(lines, "")
-            Requirement(line)
-            return
-
-
-def deduce_helpful_msg(req: str) -> str:
-    """Returns helpful msg in case requirements file does not exist,
-    or cannot be parsed.
-
-    :params req: Requirements file path
-    """
-    if not os.path.exists(req):
-        return f" File '{req}' does not exist."
-    msg = " The path does exist. "
-    # Try to parse and check if it is a requirements file.
-    try:
-        check_first_requirement_in_file(req)
-    except InvalidRequirement:
-        logger.debug("Cannot parse '%s' as requirements file", req)
-    else:
-        msg += (
-            f"The argument you provided "
-            f"({req}) appears to be a"
-            f" requirements file. If that is the"
-            f" case, use the '-r' flag to install"
-            f" the packages specified within it."
-        )
-    return msg
-
-
-class RequirementParts:
-    def __init__(
-        self,
-        requirement: Optional[Requirement],
-        link: Optional[Link],
-        markers: Optional[Marker],
-        extras: Set[str],
-    ):
-        self.requirement = requirement
-        self.link = link
-        self.markers = markers
-        self.extras = extras
-
-
-def parse_req_from_editable(editable_req: str) -> RequirementParts:
-    name, url, extras_override = parse_editable(editable_req)
-
-    if name is not None:
-        try:
-            req: Optional[Requirement] = Requirement(name)
-        except InvalidRequirement:
-            raise InstallationError(f"Invalid requirement: '{name}'")
-    else:
-        req = None
-
-    link = Link(url)
-
-    return RequirementParts(req, link, None, extras_override)
-
-
-# ---- The actual constructors follow ----
-
-
-def install_req_from_editable(
-    editable_req: str,
-    comes_from: Optional[Union[InstallRequirement, str]] = None,
-    *,
-    use_pep517: Optional[bool] = None,
-    isolated: bool = False,
-    global_options: Optional[List[str]] = None,
-    hash_options: Optional[Dict[str, List[str]]] = None,
-    constraint: bool = False,
-    user_supplied: bool = False,
-    permit_editable_wheels: bool = False,
-    config_settings: Optional[Dict[str, Union[str, List[str]]]] = None,
-) -> InstallRequirement:
-    parts = parse_req_from_editable(editable_req)
-
-    return InstallRequirement(
-        parts.requirement,
-        comes_from=comes_from,
-        user_supplied=user_supplied,
-        editable=True,
-        permit_editable_wheels=permit_editable_wheels,
-        link=parts.link,
-        constraint=constraint,
-        use_pep517=use_pep517,
-        isolated=isolated,
-        global_options=global_options,
-        hash_options=hash_options,
-        config_settings=config_settings,
-        extras=parts.extras,
-    )
-
-
-def _looks_like_path(name: str) -> bool:
-    """Checks whether the string "looks like" a path on the filesystem.
-
-    This does not check whether the target actually exists, only judge from the
-    appearance.
-
-    Returns true if any of the following conditions is true:
-    * a path separator is found (either os.path.sep or os.path.altsep);
-    * a dot is found (which represents the current directory).
-    """
-    if os.path.sep in name:
-        return True
-    if os.path.altsep is not None and os.path.altsep in name:
-        return True
-    if name.startswith("."):
-        return True
-    return False
-
-
-def _get_url_from_path(path: str, name: str) -> Optional[str]:
-    """
-    First, it checks whether a provided path is an installable directory. If it
-    is, returns the path.
-
-    If false, check if the path is an archive file (such as a .whl).
-    The function checks if the path is a file. If false, if the path has
-    an @, it will treat it as a PEP 440 URL requirement and return the path.
-    """
-    if _looks_like_path(name) and os.path.isdir(path):
-        if is_installable_dir(path):
-            return path_to_url(path)
-        # TODO: The is_installable_dir test here might not be necessary
-        #       now that it is done in load_pyproject_toml too.
-        raise InstallationError(
-            f"Directory {name!r} is not installable. Neither 'setup.py' "
-            "nor 'pyproject.toml' found."
-        )
-    if not is_archive_file(path):
-        return None
-    if os.path.isfile(path):
-        return path_to_url(path)
-    urlreq_parts = name.split("@", 1)
-    if len(urlreq_parts) >= 2 and not _looks_like_path(urlreq_parts[0]):
-        # If the path contains '@' and the part before it does not look
-        # like a path, try to treat it as a PEP 440 URL req instead.
-        return None
-    logger.warning(
-        "Requirement %r looks like a filename, but the file does not exist",
-        name,
-    )
-    return path_to_url(path)
-
-
-def parse_req_from_line(name: str, line_source: Optional[str]) -> RequirementParts:
-    if is_url(name):
-        marker_sep = "; "
-    else:
-        marker_sep = ";"
-    if marker_sep in name:
-        name, markers_as_string = name.split(marker_sep, 1)
-        markers_as_string = markers_as_string.strip()
-        if not markers_as_string:
-            markers = None
-        else:
-            markers = Marker(markers_as_string)
-    else:
-        markers = None
-    name = name.strip()
-    req_as_string = None
-    path = os.path.normpath(os.path.abspath(name))
-    link = None
-    extras_as_string = None
-
-    if is_url(name):
-        link = Link(name)
-    else:
-        p, extras_as_string = _strip_extras(path)
-        url = _get_url_from_path(p, name)
-        if url is not None:
-            link = Link(url)
-
-    # it's a local file, dir, or url
-    if link:
-        # Handle relative file URLs
-        if link.scheme == "file" and re.search(r"\.\./", link.url):
-            link = Link(path_to_url(os.path.normpath(os.path.abspath(link.path))))
-        # wheel file
-        if link.is_wheel:
-            wheel = Wheel(link.filename)  # can raise InvalidWheelFilename
-            req_as_string = f"{wheel.name}=={wheel.version}"
-        else:
-            # set the req to the egg fragment.  when it's not there, this
-            # will become an 'unnamed' requirement
-            req_as_string = link.egg_fragment
-
-    # a requirement specifier
-    else:
-        req_as_string = name
-
-    extras = convert_extras(extras_as_string)
-
-    def with_source(text: str) -> str:
-        if not line_source:
-            return text
-        return f"{text} (from {line_source})"
-
-    def _parse_req_string(req_as_string: str) -> Requirement:
-        try:
-            req = get_requirement(req_as_string)
-        except InvalidRequirement:
-            if os.path.sep in req_as_string:
-                add_msg = "It looks like a path."
-                add_msg += deduce_helpful_msg(req_as_string)
-            elif "=" in req_as_string and not any(
-                op in req_as_string for op in operators
-            ):
-                add_msg = "= is not a valid operator. Did you mean == ?"
-            else:
-                add_msg = ""
-            msg = with_source(f"Invalid requirement: {req_as_string!r}")
-            if add_msg:
-                msg += f"\nHint: {add_msg}"
-            raise InstallationError(msg)
-        else:
-            # Deprecate extras after specifiers: "name>=1.0[extras]"
-            # This currently works by accident because _strip_extras() parses
-            # any extras in the end of the string and those are saved in
-            # RequirementParts
-            for spec in req.specifier:
-                spec_str = str(spec)
-                if spec_str.endswith("]"):
-                    msg = f"Extras after version '{spec_str}'."
-                    raise InstallationError(msg)
-        return req
-
-    if req_as_string is not None:
-        req: Optional[Requirement] = _parse_req_string(req_as_string)
-    else:
-        req = None
-
-    return RequirementParts(req, link, markers, extras)
-
-
-def install_req_from_line(
-    name: str,
-    comes_from: Optional[Union[str, InstallRequirement]] = None,
-    *,
-    use_pep517: Optional[bool] = None,
-    isolated: bool = False,
-    global_options: Optional[List[str]] = None,
-    hash_options: Optional[Dict[str, List[str]]] = None,
-    constraint: bool = False,
-    line_source: Optional[str] = None,
-    user_supplied: bool = False,
-    config_settings: Optional[Dict[str, Union[str, List[str]]]] = None,
-) -> InstallRequirement:
-    """Creates an InstallRequirement from a name, which might be a
-    requirement, directory containing 'setup.py', filename, or URL.
-
-    :param line_source: An optional string describing where the line is from,
-        for logging purposes in case of an error.
-    """
-    parts = parse_req_from_line(name, line_source)
-
-    return InstallRequirement(
-        parts.requirement,
-        comes_from,
-        link=parts.link,
-        markers=parts.markers,
-        use_pep517=use_pep517,
-        isolated=isolated,
-        global_options=global_options,
-        hash_options=hash_options,
-        config_settings=config_settings,
-        constraint=constraint,
-        extras=parts.extras,
-        user_supplied=user_supplied,
-    )
-
-
-def install_req_from_req_string(
-    req_string: str,
-    comes_from: Optional[InstallRequirement] = None,
-    isolated: bool = False,
-    use_pep517: Optional[bool] = None,
-    user_supplied: bool = False,
-) -> InstallRequirement:
-    try:
-        req = get_requirement(req_string)
-    except InvalidRequirement:
-        raise InstallationError(f"Invalid requirement: '{req_string}'")
-
-    domains_not_allowed = [
-        PyPI.file_storage_domain,
-        TestPyPI.file_storage_domain,
-    ]
-    if (
-        req.url
-        and comes_from
-        and comes_from.link
-        and comes_from.link.netloc in domains_not_allowed
-    ):
-        # Explicitly disallow pypi packages that depend on external urls
-        raise InstallationError(
-            "Packages installed from PyPI cannot depend on packages "
-            "which are not also hosted on PyPI.\n"
-            "{} depends on {} ".format(comes_from.name, req)
-        )
-
-    return InstallRequirement(
-        req,
-        comes_from,
-        isolated=isolated,
-        use_pep517=use_pep517,
-        user_supplied=user_supplied,
-    )
-
-
-def install_req_from_parsed_requirement(
-    parsed_req: ParsedRequirement,
-    isolated: bool = False,
-    use_pep517: Optional[bool] = None,
-    user_supplied: bool = False,
-    config_settings: Optional[Dict[str, Union[str, List[str]]]] = None,
-) -> InstallRequirement:
-    if parsed_req.is_editable:
-        req = install_req_from_editable(
-            parsed_req.requirement,
-            comes_from=parsed_req.comes_from,
-            use_pep517=use_pep517,
-            constraint=parsed_req.constraint,
-            isolated=isolated,
-            user_supplied=user_supplied,
-            config_settings=config_settings,
-        )
-
-    else:
-        req = install_req_from_line(
-            parsed_req.requirement,
-            comes_from=parsed_req.comes_from,
-            use_pep517=use_pep517,
-            isolated=isolated,
-            global_options=(
-                parsed_req.options.get("global_options", [])
-                if parsed_req.options
-                else []
-            ),
-            hash_options=(
-                parsed_req.options.get("hashes", {}) if parsed_req.options else {}
-            ),
-            constraint=parsed_req.constraint,
-            line_source=parsed_req.line_source,
-            user_supplied=user_supplied,
-            config_settings=config_settings,
-        )
-    return req
-
-
-def install_req_from_link_and_ireq(
-    link: Link, ireq: InstallRequirement
-) -> InstallRequirement:
-    return InstallRequirement(
-        req=ireq.req,
-        comes_from=ireq.comes_from,
-        editable=ireq.editable,
-        link=link,
-        markers=ireq.markers,
-        use_pep517=ireq.use_pep517,
-        isolated=ireq.isolated,
-        global_options=ireq.global_options,
-        hash_options=ireq.hash_options,
-        config_settings=ireq.config_settings,
-        user_supplied=ireq.user_supplied,
-    )

spaces/Big-Web/MMSD/env/Lib/site-packages/urllib3/util/ssl_match_hostname.py

@@ -1,159 +0,0 @@
-"""The match_hostname() function from Python 3.3.3, essential when using SSL."""
-
-# Note: This file is under the PSF license as the code comes from the python
-# stdlib.   http://docs.python.org/3/license.html
-
-import re
-import sys
-
-# ipaddress has been backported to 2.6+ in pypi.  If it is installed on the
-# system, use it to handle IPAddress ServerAltnames (this was added in
-# python-3.5) otherwise only do DNS matching.  This allows
-# util.ssl_match_hostname to continue to be used in Python 2.7.
-try:
-    import ipaddress
-except ImportError:
-    ipaddress = None
-
-__version__ = "3.5.0.1"
-
-
-class CertificateError(ValueError):
-    pass
-
-
-def _dnsname_match(dn, hostname, max_wildcards=1):
-    """Matching according to RFC 6125, section 6.4.3
-
-    http://tools.ietf.org/html/rfc6125#section-6.4.3
-    """
-    pats = []
-    if not dn:
-        return False
-
-    # Ported from python3-syntax:
-    # leftmost, *remainder = dn.split(r'.')
-    parts = dn.split(r".")
-    leftmost = parts[0]
-    remainder = parts[1:]
-
-    wildcards = leftmost.count("*")
-    if wildcards > max_wildcards:
-        # Issue #17980: avoid denials of service by refusing more
-        # than one wildcard per fragment.  A survey of established
-        # policy among SSL implementations showed it to be a
-        # reasonable choice.
-        raise CertificateError(
-            "too many wildcards in certificate DNS name: " + repr(dn)
-        )
-
-    # speed up common case w/o wildcards
-    if not wildcards:
-        return dn.lower() == hostname.lower()
-
-    # RFC 6125, section 6.4.3, subitem 1.
-    # The client SHOULD NOT attempt to match a presented identifier in which
-    # the wildcard character comprises a label other than the left-most label.
-    if leftmost == "*":
-        # When '*' is a fragment by itself, it matches a non-empty dotless
-        # fragment.
-        pats.append("[^.]+")
-    elif leftmost.startswith("xn--") or hostname.startswith("xn--"):
-        # RFC 6125, section 6.4.3, subitem 3.
-        # The client SHOULD NOT attempt to match a presented identifier
-        # where the wildcard character is embedded within an A-label or
-        # U-label of an internationalized domain name.
-        pats.append(re.escape(leftmost))
-    else:
-        # Otherwise, '*' matches any dotless string, e.g. www*
-        pats.append(re.escape(leftmost).replace(r"\*", "[^.]*"))
-
-    # add the remaining fragments, ignore any wildcards
-    for frag in remainder:
-        pats.append(re.escape(frag))
-
-    pat = re.compile(r"\A" + r"\.".join(pats) + r"\Z", re.IGNORECASE)
-    return pat.match(hostname)
-
-
-def _to_unicode(obj):
-    if isinstance(obj, str) and sys.version_info < (3,):
-        # ignored flake8 # F821 to support python 2.7 function
-        obj = unicode(obj, encoding="ascii", errors="strict")  # noqa: F821
-    return obj
-
-
-def _ipaddress_match(ipname, host_ip):
-    """Exact matching of IP addresses.
-
-    RFC 6125 explicitly doesn't define an algorithm for this
-    (section 1.7.2 - "Out of Scope").
-    """
-    # OpenSSL may add a trailing newline to a subjectAltName's IP address
-    # Divergence from upstream: ipaddress can't handle byte str
-    ip = ipaddress.ip_address(_to_unicode(ipname).rstrip())
-    return ip == host_ip
-
-
-def match_hostname(cert, hostname):
-    """Verify that *cert* (in decoded format as returned by
-    SSLSocket.getpeercert()) matches the *hostname*.  RFC 2818 and RFC 6125
-    rules are followed, but IP addresses are not accepted for *hostname*.
-
-    CertificateError is raised on failure. On success, the function
-    returns nothing.
-    """
-    if not cert:
-        raise ValueError(
-            "empty or no certificate, match_hostname needs a "
-            "SSL socket or SSL context with either "
-            "CERT_OPTIONAL or CERT_REQUIRED"
-        )
-    try:
-        # Divergence from upstream: ipaddress can't handle byte str
-        host_ip = ipaddress.ip_address(_to_unicode(hostname))
-    except (UnicodeError, ValueError):
-        # ValueError: Not an IP address (common case)
-        # UnicodeError: Divergence from upstream: Have to deal with ipaddress not taking
-        # byte strings.  addresses should be all ascii, so we consider it not
-        # an ipaddress in this case
-        host_ip = None
-    except AttributeError:
-        # Divergence from upstream: Make ipaddress library optional
-        if ipaddress is None:
-            host_ip = None
-        else:  # Defensive
-            raise
-    dnsnames = []
-    san = cert.get("subjectAltName", ())
-    for key, value in san:
-        if key == "DNS":
-            if host_ip is None and _dnsname_match(value, hostname):
-                return
-            dnsnames.append(value)
-        elif key == "IP Address":
-            if host_ip is not None and _ipaddress_match(value, host_ip):
-                return
-            dnsnames.append(value)
-    if not dnsnames:
-        # The subject is only checked when there is no dNSName entry
-        # in subjectAltName
-        for sub in cert.get("subject", ()):
-            for key, value in sub:
-                # XXX according to RFC 2818, the most specific Common Name
-                # must be used.
-                if key == "commonName":
-                    if _dnsname_match(value, hostname):
-                        return
-                    dnsnames.append(value)
-    if len(dnsnames) > 1:
-        raise CertificateError(
-            "hostname %r "
-            "doesn't match either of %s" % (hostname, ", ".join(map(repr, dnsnames)))
-        )
-    elif len(dnsnames) == 1:
-        raise CertificateError("hostname %r doesn't match %r" % (hostname, dnsnames[0]))
-    else:
-        raise CertificateError(
-            "no appropriate commonName or subjectAltName fields were found"
-        )

spaces/BigSalmon/MASKK/app.py

@@ -1,39 +0,0 @@
-import torch
-import streamlit as st
-import numpy as np
-import pandas as pd
-import os
-import torch
-import torch.nn as nn
-from transformers import ElectraModel, AutoConfig, GPT2LMHeadModel
-from transformers.activations import get_activation
-from transformers import AutoTokenizer
-
-
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-
-from transformers import AutoTokenizer, AutoModelForMaskedLM
-artist_name = st.text_input("Model", "roberta-base")
-tokenizer = AutoTokenizer.from_pretrained("roberta-base")
-model = AutoModelForMaskedLM.from_pretrained(artist_name)
-
-first = "Boston is a <mask> place to live."
-
-with st.form(key='my_form'):
-    prompt = st.text_area(label='Enter Text. Put <mask> where you want the model to fill in the blank. You can use more than one at a time.', value=first)
-    submit_button = st.form_submit_button(label='Submit')
-
-    if submit_button:
-      a_list = []
-      token_ids = tokenizer.encode(prompt, return_tensors='pt')
-      token_ids_tk = tokenizer.tokenize(prompt, return_tensors='pt')
-      masked_position = (token_ids.squeeze() == tokenizer.mask_token_id).nonzero()
-      masked_pos = [mask.item() for mask in masked_position ]
-      with torch.no_grad():
-        output = model(token_ids)
-      last_hidden_state = output[0].squeeze()
-      for mask_index in masked_pos:
-        mask_hidden_state = last_hidden_state[mask_index]
-        idx = torch.topk(mask_hidden_state, k=100, dim=0)[1]
-        words = [tokenizer.decode(i.item()).strip() for i in idx]
-        st.text_area(label = 'Infill:', value=words)

spaces/CVH-vn1210/make_hair/minigpt4/datasets/datasets/base_dataset.py

@@ -1,68 +0,0 @@
-"""
- Copyright (c) 2022, salesforce.com, inc.
- All rights reserved.
- SPDX-License-Identifier: BSD-3-Clause
- For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
-"""
-
-import json
-from typing import Iterable
-
-from torch.utils.data import Dataset, ConcatDataset
-from torch.utils.data.dataloader import default_collate
-
-
-class BaseDataset(Dataset):
-    def __init__(
-        self, vis_processor=None, text_processor=None, vis_root=None, ann_paths=[]
-    ):
-        """
-        vis_root (string): Root directory of images (e.g. coco/images/)
-        ann_root (string): directory to store the annotation file
-        """
-        self.vis_root = vis_root
-
-        self.annotation = []
-        for ann_path in ann_paths:
-            self.annotation.extend(json.load(open(ann_path, "r"))['annotations'])
-
-        self.vis_processor = vis_processor
-        self.text_processor = text_processor
-
-        self._add_instance_ids()
-
-    def __len__(self):
-        return len(self.annotation)
-
-    def collater(self, samples):
-        return default_collate(samples)
-
-    def set_processors(self, vis_processor, text_processor):
-        self.vis_processor = vis_processor
-        self.text_processor = text_processor
-
-    def _add_instance_ids(self, key="instance_id"):
-        for idx, ann in enumerate(self.annotation):
-            ann[key] = str(idx)
-
-
-class ConcatDataset(ConcatDataset):
-    def __init__(self, datasets: Iterable[Dataset]) -> None:
-        super().__init__(datasets)
-
-    def collater(self, samples):
-        # TODO For now only supports datasets with same underlying collater implementations
-
-        all_keys = set()
-        for s in samples:
-            all_keys.update(s)
-
-        shared_keys = all_keys
-        for s in samples:
-            shared_keys = shared_keys & set(s.keys())
-
-        samples_shared_keys = []
-        for s in samples:
-            samples_shared_keys.append({k: s[k] for k in s.keys() if k in shared_keys})
-
-        return self.datasets[0].collater(samples_shared_keys)

spaces/CVH-vn1210/make_hair/minigpt4/datasets/datasets/dataloader_utils.py

@@ -1,162 +0,0 @@
-"""
- Copyright (c) 2022, salesforce.com, inc.
- All rights reserved.
- SPDX-License-Identifier: BSD-3-Clause
- For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
-"""
-
-import time
-import random
-import torch
-from minigpt4.datasets.data_utils import move_to_cuda
-from torch.utils.data import DataLoader
-
-
-class MultiIterLoader:
-    """
-    A simple wrapper for iterating over multiple iterators.
-
-    Args:
-        loaders (List[Loader]): List of Iterator loaders.
-        ratios (List[float]): List of ratios to sample from each loader. If None, all loaders are sampled uniformly.
-    """
-
-    def __init__(self, loaders, ratios=None):
-        # assert all loaders has __next__ method
-        for loader in loaders:
-            assert hasattr(
-                loader, "__next__"
-            ), "Loader {} has no __next__ method.".format(loader)
-
-        if ratios is None:
-            ratios = [1.0] * len(loaders)
-        else:
-            assert len(ratios) == len(loaders)
-            ratios = [float(ratio) / sum(ratios) for ratio in ratios]
-
-        self.loaders = loaders
-        self.ratios = ratios
-
-    def __next__(self):
-        # random sample from each loader by ratio
-        loader_idx = random.choices(range(len(self.loaders)), self.ratios, k=1)[0]
-        return next(self.loaders[loader_idx])
-
-
-class PrefetchLoader(object):
-    """
-    Modified from https://github.com/ChenRocks/UNITER.
-
-    overlap compute and cuda data transfer
-    (copied and then modified from nvidia apex)
-    """
-
-    def __init__(self, loader):
-        self.loader = loader
-        self.stream = torch.cuda.Stream()
-
-    def __iter__(self):
-        loader_it = iter(self.loader)
-        self.preload(loader_it)
-        batch = self.next(loader_it)
-        while batch is not None:
-            is_tuple = isinstance(batch, tuple)
-            if is_tuple:
-                task, batch = batch
-
-            if is_tuple:
-                yield task, batch
-            else:
-                yield batch
-            batch = self.next(loader_it)
-
-    def __len__(self):
-        return len(self.loader)
-
-    def preload(self, it):
-        try:
-            self.batch = next(it)
-        except StopIteration:
-            self.batch = None
-            return
-        # if record_stream() doesn't work, another option is to make sure
-        # device inputs are created on the main stream.
-        # self.next_input_gpu = torch.empty_like(self.next_input,
-        #                                        device='cuda')
-        # self.next_target_gpu = torch.empty_like(self.next_target,
-        #                                         device='cuda')
-        # Need to make sure the memory allocated for next_* is not still in use
-        # by the main stream at the time we start copying to next_*:
-        # self.stream.wait_stream(torch.cuda.current_stream())
-        with torch.cuda.stream(self.stream):
-            self.batch = move_to_cuda(self.batch)
-            # more code for the alternative if record_stream() doesn't work:
-            # copy_ will record the use of the pinned source tensor in this
-            # side stream.
-            # self.next_input_gpu.copy_(self.next_input, non_blocking=True)
-            # self.next_target_gpu.copy_(self.next_target, non_blocking=True)
-            # self.next_input = self.next_input_gpu
-            # self.next_target = self.next_target_gpu
-
-    def next(self, it):
-        torch.cuda.current_stream().wait_stream(self.stream)
-        batch = self.batch
-        if batch is not None:
-            record_cuda_stream(batch)
-        self.preload(it)
-        return batch
-
-    def __getattr__(self, name):
-        method = self.loader.__getattribute__(name)
-        return method
-
-
-def record_cuda_stream(batch):
-    if isinstance(batch, torch.Tensor):
-        batch.record_stream(torch.cuda.current_stream())
-    elif isinstance(batch, list) or isinstance(batch, tuple):
-        for t in batch:
-            record_cuda_stream(t)
-    elif isinstance(batch, dict):
-        for t in batch.values():
-            record_cuda_stream(t)
-    else:
-        pass
-
-
-class IterLoader:
-    """
-    A wrapper to convert DataLoader as an infinite iterator.
-
-    Modified from:
-        https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/iter_based_runner.py
-    """
-
-    def __init__(self, dataloader: DataLoader, use_distributed: bool = False):
-        self._dataloader = dataloader
-        self.iter_loader = iter(self._dataloader)
-        self._use_distributed = use_distributed
-        self._epoch = 0
-
-    @property
-    def epoch(self) -> int:
-        return self._epoch
-
-    def __next__(self):
-        try:
-            data = next(self.iter_loader)
-        except StopIteration:
-            self._epoch += 1
-            if hasattr(self._dataloader.sampler, "set_epoch") and self._use_distributed:
-                self._dataloader.sampler.set_epoch(self._epoch)
-            time.sleep(2)  # Prevent possible deadlock during epoch transition
-            self.iter_loader = iter(self._dataloader)
-            data = next(self.iter_loader)
-
-        return data
-
-    def __iter__(self):
-        return self
-
-    def __len__(self):
-        return len(self._dataloader)

spaces/CVPR/Dual-Key_Backdoor_Attacks/datagen/detectron2/detectron2/structures/keypoints.py

@@ -1,209 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
-import numpy as np
-from typing import Any, List, Tuple, Union
-import torch
-
-from detectron2.layers import interpolate
-
-
-class Keypoints:
-    """
-    Stores keypoint annotation data. GT Instances have a `gt_keypoints` property
-    containing the x,y location and visibility flag of each keypoint. This tensor has shape
-    (N, K, 3) where N is the number of instances and K is the number of keypoints per instance.
-
-    The visibility flag follows the COCO format and must be one of three integers:
-    * v=0: not labeled (in which case x=y=0)
-    * v=1: labeled but not visible
-    * v=2: labeled and visible
-    """
-
-    def __init__(self, keypoints: Union[torch.Tensor, np.ndarray, List[List[float]]]):
-        """
-        Arguments:
-            keypoints: A Tensor, numpy array, or list of the x, y, and visibility of each keypoint.
-                The shape should be (N, K, 3) where N is the number of
-                instances, and K is the number of keypoints per instance.
-        """
-        device = keypoints.device if isinstance(keypoints, torch.Tensor) else torch.device("cpu")
-        keypoints = torch.as_tensor(keypoints, dtype=torch.float32, device=device)
-        assert keypoints.dim() == 3 and keypoints.shape[2] == 3, keypoints.shape
-        self.tensor = keypoints
-
-    def __len__(self) -> int:
-        return self.tensor.size(0)
-
-    def to(self, *args: Any, **kwargs: Any) -> "Keypoints":
-        return type(self)(self.tensor.to(*args, **kwargs))
-
-    @property
-    def device(self) -> torch.device:
-        return self.tensor.device
-
-    def to_heatmap(self, boxes: torch.Tensor, heatmap_size: int) -> torch.Tensor:
-        """
-        Arguments:
-            boxes: Nx4 tensor, the boxes to draw the keypoints to
-
-        Returns:
-            heatmaps:
-                A tensor of shape (N, K) containing an integer spatial label
-                in the range [0, heatmap_size**2 - 1] for each keypoint in the input.
-            valid:
-                A tensor of shape (N, K) containing whether each keypoint is in the roi or not.
-        """
-        return _keypoints_to_heatmap(self.tensor, boxes, heatmap_size)
-
-    def __getitem__(self, item: Union[int, slice, torch.BoolTensor]) -> "Keypoints":
-        """
-        Create a new `Keypoints` by indexing on this `Keypoints`.
-
-        The following usage are allowed:
-
-        1. `new_kpts = kpts[3]`: return a `Keypoints` which contains only one instance.
-        2. `new_kpts = kpts[2:10]`: return a slice of key points.
-        3. `new_kpts = kpts[vector]`, where vector is a torch.ByteTensor
-           with `length = len(kpts)`. Nonzero elements in the vector will be selected.
-
-        Note that the returned Keypoints might share storage with this Keypoints,
-        subject to Pytorch's indexing semantics.
-        """
-        if isinstance(item, int):
-            return Keypoints([self.tensor[item]])
-        return Keypoints(self.tensor[item])
-
-    def __repr__(self) -> str:
-        s = self.__class__.__name__ + "("
-        s += "num_instances={})".format(len(self.tensor))
-        return s
-
-
-# TODO make this nicer, this is a direct translation from C2 (but removing the inner loop)
-def _keypoints_to_heatmap(
-    keypoints: torch.Tensor, rois: torch.Tensor, heatmap_size: int
-) -> Tuple[torch.Tensor, torch.Tensor]:
-    """
-    Encode keypoint locations into a target heatmap for use in SoftmaxWithLoss across space.
-
-    Maps keypoints from the half-open interval [x1, x2) on continuous image coordinates to the
-    closed interval [0, heatmap_size - 1] on discrete image coordinates. We use the
-    continuous-discrete conversion from Heckbert 1990 ("What is the coordinate of a pixel?"):
-    d = floor(c) and c = d + 0.5, where d is a discrete coordinate and c is a continuous coordinate.
-
-    Arguments:
-        keypoints: tensor of keypoint locations in of shape (N, K, 3).
-        rois: Nx4 tensor of rois in xyxy format
-        heatmap_size: integer side length of square heatmap.
-
-    Returns:
-        heatmaps: A tensor of shape (N, K) containing an integer spatial label
-            in the range [0, heatmap_size**2 - 1] for each keypoint in the input.
-        valid: A tensor of shape (N, K) containing whether each keypoint is in
-            the roi or not.
-    """
-
-    if rois.numel() == 0:
-        return rois.new().long(), rois.new().long()
-    offset_x = rois[:, 0]
-    offset_y = rois[:, 1]
-    scale_x = heatmap_size / (rois[:, 2] - rois[:, 0])
-    scale_y = heatmap_size / (rois[:, 3] - rois[:, 1])
-
-    offset_x = offset_x[:, None]
-    offset_y = offset_y[:, None]
-    scale_x = scale_x[:, None]
-    scale_y = scale_y[:, None]
-
-    x = keypoints[..., 0]
-    y = keypoints[..., 1]
-
-    x_boundary_inds = x == rois[:, 2][:, None]
-    y_boundary_inds = y == rois[:, 3][:, None]
-
-    x = (x - offset_x) * scale_x
-    x = x.floor().long()
-    y = (y - offset_y) * scale_y
-    y = y.floor().long()
-
-    x[x_boundary_inds] = heatmap_size - 1
-    y[y_boundary_inds] = heatmap_size - 1
-
-    valid_loc = (x >= 0) & (y >= 0) & (x < heatmap_size) & (y < heatmap_size)
-    vis = keypoints[..., 2] > 0
-    valid = (valid_loc & vis).long()
-
-    lin_ind = y * heatmap_size + x
-    heatmaps = lin_ind * valid
-
-    return heatmaps, valid
-
-
-@torch.no_grad()
-def heatmaps_to_keypoints(maps: torch.Tensor, rois: torch.Tensor) -> torch.Tensor:
-    """
-    Extract predicted keypoint locations from heatmaps.
-
-    Args:
-        maps (Tensor): (#ROIs, #keypoints, POOL_H, POOL_W). The predicted heatmap of logits for
-            each ROI and each keypoint.
-        rois (Tensor): (#ROIs, 4). The box of each ROI.
-
-    Returns:
-        Tensor of shape (#ROIs, #keypoints, 4) with the last dimension corresponding to
-        (x, y, logit, score) for each keypoint.
-
-    When converting discrete pixel indices in an NxN image to a continuous keypoint coordinate,
-    we maintain consistency with :meth:`Keypoints.to_heatmap` by using the conversion from
-    Heckbert 1990: c = d + 0.5, where d is a discrete coordinate and c is a continuous coordinate.
-    """
-    offset_x = rois[:, 0]
-    offset_y = rois[:, 1]
-
-    widths = (rois[:, 2] - rois[:, 0]).clamp(min=1)
-    heights = (rois[:, 3] - rois[:, 1]).clamp(min=1)
-    widths_ceil = widths.ceil()
-    heights_ceil = heights.ceil()
-
-    num_rois, num_keypoints = maps.shape[:2]
-    xy_preds = maps.new_zeros(rois.shape[0], num_keypoints, 4)
-
-    width_corrections = widths / widths_ceil
-    height_corrections = heights / heights_ceil
-
-    keypoints_idx = torch.arange(num_keypoints, device=maps.device)
-
-    for i in range(num_rois):
-        outsize = (int(heights_ceil[i]), int(widths_ceil[i]))
-        roi_map = interpolate(maps[[i]], size=outsize, mode="bicubic", align_corners=False).squeeze(
-            0
-        )  # #keypoints x H x W
-
-        # softmax over the spatial region
-        max_score, _ = roi_map.view(num_keypoints, -1).max(1)
-        max_score = max_score.view(num_keypoints, 1, 1)
-        tmp_full_resolution = (roi_map - max_score).exp_()
-        tmp_pool_resolution = (maps[i] - max_score).exp_()
-        # Produce scores over the region H x W, but normalize with POOL_H x POOL_W,
-        # so that the scores of objects of different absolute sizes will be more comparable
-        roi_map_scores = tmp_full_resolution / tmp_pool_resolution.sum((1, 2), keepdim=True)
-
-        w = roi_map.shape[2]
-        pos = roi_map.view(num_keypoints, -1).argmax(1)
-
-        x_int = pos % w
-        y_int = (pos - x_int) // w
-
-        assert (
-            roi_map_scores[keypoints_idx, y_int, x_int]
-            == roi_map_scores.view(num_keypoints, -1).max(1)[0]
-        ).all()
-
-        x = (x_int.float() + 0.5) * width_corrections[i]
-        y = (y_int.float() + 0.5) * height_corrections[i]
-
-        xy_preds[i, :, 0] = x + offset_x[i]
-        xy_preds[i, :, 1] = y + offset_y[i]
-        xy_preds[i, :, 2] = roi_map[keypoints_idx, y_int, x_int]
-        xy_preds[i, :, 3] = roi_map_scores[keypoints_idx, y_int, x_int]
-
-    return xy_preds

spaces/CVPR/LIVE/thrust/thrust/iterator/counting_iterator.h

@@ -1,247 +0,0 @@
-/*
- *  Copyright 2008-2013 NVIDIA Corporation
- *
- *  Licensed under the Apache License, Version 2.0 (the "License");
- *  you may not use this file except in compliance with the License.
- *  You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS,
- *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *  See the License for the specific language governing permissions and
- *  limitations under the License.
- */
-
-
-/*! \file thrust/iterator/counting_iterator.h
- *  \brief An iterator which returns an increasing incrementable value
- *         when dereferenced
- */
-
-/*
- * Copyright David Abrahams 2003.
- *
- * Distributed under the Boost Software License, Version 1.0.
- * (See accompanying NOTICE file for the complete license)
- *
- * For more information, see http://www.boost.org
- */
-
-#pragma once
-
-#include <thrust/detail/config.h>
-#include <thrust/iterator/iterator_adaptor.h>
-#include <thrust/iterator/iterator_facade.h>
-#include <thrust/iterator/iterator_categories.h>
-
-// #include the details first
-#include <thrust/iterator/detail/counting_iterator.inl>
-
-namespace thrust
-{
-
-/*! \addtogroup iterators
- *  \{
- */
-
-/*! \addtogroup fancyiterator Fancy Iterators
- *  \ingroup iterators
- *  \{
- */
-
-/*! \p counting_iterator is an iterator which represents a pointer into a range
- *  of sequentially changing values. This iterator is useful for creating a range
- *  filled with a sequence without explicitly storing it in memory. Using
- *  \p counting_iterator saves memory capacity and bandwidth.
- *
- *  The following code snippet demonstrates how to create a \p counting_iterator whose
- *  \c value_type is \c int and which sequentially increments by \c 1.
- *
- *  \code
- *  #include <thrust/iterator/counting_iterator.h>
- *  ...
- *  // create iterators
- *  thrust::counting_iterator<int> first(10);
- *  thrust::counting_iterator<int> last = first + 3;
- *
- *  first[0]   // returns 10
- *  first[1]   // returns 11
- *  first[100] // returns 110
- *
- *  // sum of [first, last)
- *  thrust::reduce(first, last);   // returns 33 (i.e. 10 + 11 + 12)
- *
- *  // initialize vector to [0,1,2,..]
- *  thrust::counting_iterator<int> iter(0);
- *  thrust::device_vector<int> vec(500);
- *  thrust::copy(iter, iter + vec.size(), vec.begin());
- *  \endcode
- *
- *  This next example demonstrates how to use a \p counting_iterator with the
- *  \p thrust::copy_if function to compute the indices of the non-zero elements
- *  of a \p device_vector. In this example, we use the \p make_counting_iterator
- *  function to avoid specifying the type of the \p counting_iterator.
- *
- *  \code
- *  #include <thrust/iterator/counting_iterator.h>
- *  #include <thrust/copy.h>
- *  #include <thrust/functional.h>
- *  #include <thrust/device_vector.h>
- *
- *  int main()
- *  {
- *   // this example computes indices for all the nonzero values in a sequence
- *
- *   // sequence of zero and nonzero values
- *   thrust::device_vector<int> stencil(8);
- *   stencil[0] = 0;
- *   stencil[1] = 1;
- *   stencil[2] = 1;
- *   stencil[3] = 0;
- *   stencil[4] = 0;
- *   stencil[5] = 1;
- *   stencil[6] = 0;
- *   stencil[7] = 1;
- *
- *   // storage for the nonzero indices
- *   thrust::device_vector<int> indices(8);
- *
- *   // compute indices of nonzero elements
- *   typedef thrust::device_vector<int>::iterator IndexIterator;
- *
- *   // use make_counting_iterator to define the sequence [0, 8)
- *   IndexIterator indices_end = thrust::copy_if(thrust::make_counting_iterator(0),
- *                                               thrust::make_counting_iterator(8),
- *                                               stencil.begin(),
- *                                               indices.begin(),
- *                                               thrust::identity<int>());
- *   // indices now contains [1,2,5,7]
- *
- *   return 0;
- *  }
- *  \endcode
- *
- *  \see make_counting_iterator
- */
-template<typename Incrementable,
-         typename System = use_default,
-         typename Traversal = use_default,
-         typename Difference = use_default>
-  class counting_iterator
-    : public detail::counting_iterator_base<Incrementable, System, Traversal, Difference>::type
-{
-    /*! \cond
-     */
-    typedef typename detail::counting_iterator_base<Incrementable, System, Traversal, Difference>::type super_t;
-
-    friend class thrust::iterator_core_access;
-
-  public:
-    typedef typename super_t::reference       reference;
-    typedef typename super_t::difference_type difference_type;
-
-    /*! \endcond
-     */
-
-    /*! Null constructor initializes this \p counting_iterator's \c Incrementable
-     *  counter using its null constructor.
-     */
-    __host__ __device__
-    counting_iterator() {}
-
-    /*! Copy constructor copies the value of another \p counting_iterator into a
-     *  new \p counting_iterator.
-     *
-     *  \p rhs The \p counting_iterator to copy.
-     */
-    __host__ __device__
-    counting_iterator(counting_iterator const &rhs):super_t(rhs.base()){}
-
-    /*! Copy constructor copies the value of another counting_iterator
-     *  with related System type.
-     *
-     *  \param rhs The \p counting_iterator to copy.
-     */
-    template<typename OtherSystem>
-    __host__ __device__
-    counting_iterator(counting_iterator<Incrementable, OtherSystem, Traversal, Difference> const &rhs,
-                      typename thrust::detail::enable_if_convertible<
-                        typename thrust::iterator_system<counting_iterator<Incrementable,OtherSystem,Traversal,Difference> >::type,
-                        typename thrust::iterator_system<super_t>::type
-                      >::type * = 0)
-      : super_t(rhs.base()){}
-
-    /*! This \c explicit constructor copies the value of an \c Incrementable
-     *  into a new \p counting_iterator's \c Incrementable counter.
-     *
-     *  \param x The initial value of the new \p counting_iterator's \c Incrementable
-     *         counter.
-     */
-    __host__ __device__
-    explicit counting_iterator(Incrementable x):super_t(x){}
-
-#if THRUST_CPP_DIALECT >= 2011
-    counting_iterator & operator=(const counting_iterator &) = default;
-#endif
-
-    /*! \cond
-     */
-  private:
-    __host__ __device__
-    reference dereference() const
-    {
-      return this->base_reference();
-    }
-
-    // note that we implement equal specially for floating point counting_iterator
-    template <typename OtherIncrementable, typename OtherSystem, typename OtherTraversal, typename OtherDifference>
-    __host__ __device__
-    bool equal(counting_iterator<OtherIncrementable, OtherSystem, OtherTraversal, OtherDifference> const& y) const
-    {
-      typedef thrust::detail::counting_iterator_equal<difference_type,Incrementable,OtherIncrementable> e;
-      return e::equal(this->base(), y.base());
-    }
-
-    template <class OtherIncrementable>
-    __host__ __device__
-    difference_type
-    distance_to(counting_iterator<OtherIncrementable, System, Traversal, Difference> const& y) const
-    {
-      typedef typename
-      thrust::detail::eval_if<
-        thrust::detail::is_numeric<Incrementable>::value,
-        thrust::detail::identity_<thrust::detail::number_distance<difference_type, Incrementable, OtherIncrementable> >,
-        thrust::detail::identity_<thrust::detail::iterator_distance<difference_type, Incrementable, OtherIncrementable> >
-      >::type d;
-
-      return d::distance(this->base(), y.base());
-    }
-
-    /*! \endcond
-     */
-}; // end counting_iterator
-
-
-/*! \p make_counting_iterator creates a \p counting_iterator
- *  using an initial value for its \c Incrementable counter.
- *
- *  \param x The initial value of the new \p counting_iterator's counter.
- *  \return A new \p counting_iterator whose counter has been initialized to \p x.
- */
-template <typename Incrementable>
-inline __host__ __device__
-counting_iterator<Incrementable> make_counting_iterator(Incrementable x)
-{
-  return counting_iterator<Incrementable>(x);
-}
-
-/*! \} // end fancyiterators
- */
-
-/*! \} // end iterators
- */
-
-} // end thrust
-

spaces/CVPR/LIVE/thrust/thrust/system/cpp/detail/generate.h

@@ -1,22 +0,0 @@
-/*
- *  Copyright 2008-2013 NVIDIA Corporation
- *
- *  Licensed under the Apache License, Version 2.0 (the "License");
- *  you may not use this file except in compliance with the License.
- *  You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS,
- *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *  See the License for the specific language governing permissions and
- *  limitations under the License.
- */
-
-#pragma once
-
-#include <thrust/detail/config.h>
-
-// this system has no special version of this algorithm 
-

spaces/CVPR/regionclip-demo/detectron2/export/torchscript.py

@@ -1,133 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-import os
-import torch
-
-from detectron2.utils.env import TORCH_VERSION
-from detectron2.utils.file_io import PathManager
-
-from .torchscript_patch import freeze_training_mode, patch_instances
-
-__all__ = ["scripting_with_instances", "dump_torchscript_IR"]
-
-
-def scripting_with_instances(model, fields):
-    """
-    Run :func:`torch.jit.script` on a model that uses the :class:`Instances` class. Since
-    attributes of :class:`Instances` are "dynamically" added in eager mode，it is difficult
-    for scripting to support it out of the box. This function is made to support scripting
-    a model that uses :class:`Instances`. It does the following:
-
-    1. Create a scriptable ``new_Instances`` class which behaves similarly to ``Instances``,
-       but with all attributes been "static".
-       The attributes need to be statically declared in the ``fields`` argument.
-    2. Register ``new_Instances``, and force scripting compiler to
-       use it when trying to compile ``Instances``.
-
-    After this function, the process will be reverted. User should be able to script another model
-    using different fields.
-
-    Example:
-        Assume that ``Instances`` in the model consist of two attributes named
-        ``proposal_boxes`` and ``objectness_logits`` with type :class:`Boxes` and
-        :class:`Tensor` respectively during inference. You can call this function like:
-        ::
-            fields = {"proposal_boxes": Boxes, "objectness_logits": torch.Tensor}
-            torchscipt_model =  scripting_with_instances(model, fields)
-
-    Note:
-        It only support models in evaluation mode.
-
-    Args:
-        model (nn.Module): The input model to be exported by scripting.
-        fields (Dict[str, type]): Attribute names and corresponding type that
-            ``Instances`` will use in the model. Note that all attributes used in ``Instances``
-            need to be added, regardless of whether they are inputs/outputs of the model.
-            Data type not defined in detectron2 is not supported for now.
-
-    Returns:
-        torch.jit.ScriptModule: the model in torchscript format
-    """
-    assert TORCH_VERSION >= (1, 8), "This feature is not available in PyTorch < 1.8"
-    assert (
-        not model.training
-    ), "Currently we only support exporting models in evaluation mode to torchscript"
-
-    with freeze_training_mode(model), patch_instances(fields):
-        scripted_model = torch.jit.script(model)
-        return scripted_model
-
-
-# alias for old name
-export_torchscript_with_instances = scripting_with_instances
-
-
-def dump_torchscript_IR(model, dir):
-    """
-    Dump IR of a TracedModule/ScriptModule/Function in various format (code, graph,
-    inlined graph). Useful for debugging.
-
-    Args:
-        model (TracedModule/ScriptModule/ScriptFUnction): traced or scripted module
-        dir (str): output directory to dump files.
-    """
-    PathManager.mkdirs(dir)
-
-    def _get_script_mod(mod):
-        if isinstance(mod, torch.jit.TracedModule):
-            return mod._actual_script_module
-        return mod
-
-    # Dump pretty-printed code: https://pytorch.org/docs/stable/jit.html#inspecting-code
-    with PathManager.open(os.path.join(dir, "model_ts_code.txt"), "w") as f:
-
-        def get_code(mod):
-            # Try a few ways to get code using private attributes.
-            try:
-                # This contains more information than just `mod.code`
-                return _get_script_mod(mod)._c.code
-            except AttributeError:
-                pass
-            try:
-                return mod.code
-            except AttributeError:
-                return None
-
-        def dump_code(prefix, mod):
-            code = get_code(mod)
-            name = prefix or "root model"
-            if code is None:
-                f.write(f"Could not found code for {name} (type={mod.original_name})\n")
-                f.write("\n")
-            else:
-                f.write(f"\nCode for {name}, type={mod.original_name}:\n")
-                f.write(code)
-                f.write("\n")
-                f.write("-" * 80)
-
-            for name, m in mod.named_children():
-                dump_code(prefix + "." + name, m)
-
-        if isinstance(model, torch.jit.ScriptFunction):
-            f.write(get_code(model))
-        else:
-            dump_code("", model)
-
-    def _get_graph(model):
-        try:
-            # Recursively dump IR of all modules
-            return _get_script_mod(model)._c.dump_to_str(True, False, False)
-        except AttributeError:
-            return model.graph.str()
-
-    with PathManager.open(os.path.join(dir, "model_ts_IR.txt"), "w") as f:
-        f.write(_get_graph(model))
-
-    # Dump IR of the entire graph (all submodules inlined)
-    with PathManager.open(os.path.join(dir, "model_ts_IR_inlined.txt"), "w") as f:
-        f.write(str(model.inlined_graph))
-
-    if not isinstance(model, torch.jit.ScriptFunction):
-        # Dump the model structure in pytorch style
-        with PathManager.open(os.path.join(dir, "model.txt"), "w") as f:
-            f.write(str(model))