![]() ![]() Run the program, then open menu Run -> Edit -> Configurations. Restart Apache when the settings have been saved using this command: sudo systemctl restart apache2 PhpStorm uses port 9000 by default at this moment. Next, in lines xdebug.client_host and xdebug.client_port specify the host program that will manage debugging. In this configuration the host has been specified in the next line, so this feature is not required. If the third line xdebug.discover_client_host value is true, Xdebug will be trying to connect to the host specified in the HTTP_X_FORWARDED_FOR header. Use this option when you don’t want the debugger to run unnecessarily. trigger – run debugger when the special variable is set in $_ENV, $_POST or $_COOKIE array.no – run debugging only from code, using specific methods.yes – always, when any PHP script starts.Second line xdebug.start_with_request determines how to run a debugger for debug and trace modes. trace – enables only tracing of the program execution.debug – enables step-by-step code execution, use it in this case.develop – enables output additional information in var_dump and exceptions output.The first parameter xdebug.mode configures debugging mode and can contain one of the following values: Here is a detailed explanation for these settings. In this case use this configuration lines: sudo vi /etc/php/8.0/apache2/conf.d/20-xdebug.ini xdebug.mode=debug The older versions of the extension does not support these versions of PHP. If you use PHP 8.0 or higher, you should use new Xdebug 3. If you want to use the old version of Xdebug, add these lines to the /etc/php/7.4/apache2/conf.d/20-xdebug.ini file: sudo vi /etc/php/7.4/apache2/conf.d/20-xdebug.ini zend_extension=xdebug.so Xdebug should try to connect to PHPStorm when the debugging session has started. When Xdebug installation process finishes you should configure it for working with PHPStorm. Run the following command to do this: sudo apt install php-xdebug It will help you enable debugging mode in your browser.įirst of all, install Xdebug. Therefore you should have the Debug Helper browser extension. Very often, developers use a browser or command line to run their programs. But IDE can’t tell the debugger when it should start debugging, because IDE is only responsible for the code. So, you can use your IDE to start and handle debugging. But it’s management interface is not user-friendly. Xdebug debugger can suspend code execution, look at call stack and values of variables. For other configurations, file paths can be different but the essence remains the same. We will explain how to configure all things using Ubuntu operating system and PHP interpreter configured for Apache. If you want to install PHPStorm see this article.
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Many of Balzac's works have been made into films and continue to inspire other writers.Īn enthusiastic reader and independent thinker as a child, Balzac had trouble adapting to the teaching style of his grammar school. His willful nature caused trouble throughout his life and frustrated his ambitions to succeed in the world of business. ![]() The serenity felt within the music makes it an ideal work to listen to when one wants to practice mindfulness and meditation. A note repeats like the pitter-patter of raindrops. As the above quote suggests, the true beauty of the opening material can be appreciated in its entirety by the end of the prelude.įrédéric Chopin’s Raindrop Prelude has remained one of the composer’s most-loved works. One of Chopins twenty four preludes which starts very quietly. The subtle change back into the home key of Db brings back the calm serenity of the opening. El Norte de Castilla: Andrs Navarro protagonist of today's concert at Eutherpe. ![]() Codalario: Andrs Navarro gives a Recital for Aeterna Musica. Great Rectial by Pianist Andrs Navarro in his concert tour in Argentina. Being trapped by ice and water and the panic that would lead to. The Center for Piano Studies presents his new artist in residency: Andrs Navarro. The more intense approach to this middle section perhaps signifies the drowning element of Chopin’s dream. “This C# minor portion…affects one like an oppressive dream the re-entrance of the opening Db major, which dispels the dreadful nightmare, comes upon one with the smiling freshness of dear, familiar nature – only after these horrors of the imagination can its serene beauty be fully appreciated.” One Chopin researcher commented on the C# minor section saying: The dominant pedal remains very present here, as does the consistent repetition of the Ab. A change over to C# minor shows a development of character, as a low bass theme is sung out. Opening with a gentle theme in the home key of Db major, the insistent Ab is becomes more prominent as the music moves along. In Sand’s records it doesn’t state what prelude Chopin played for her on that occasion, although most believe it to be No.15, due to the gentle repetition of an Ab that has been likened to the “gentle patter” of rain. His genius was filled with the mysterious sounds of nature, but transformed into sublime equivalents in musical thought, and not through slavish imitation of the actual external sounds.” 28, are a set of short pieces for the piano, one in each of the twenty-four keys, originally published in 1839 and dedicated to Joseph Christoph Kessler, a composer of piano studies during Chopin's time. ![]() He protested with all his might – and he was right to – against the childishness of such aural imitations. Chopin, Raindrop Prelude - Clayton Greene, Piano. 28 No 15 of Frederik Chopin is one of the 24 preludes which Chopin wrote during his stay at a monastery in Valldemossa, Mallorca in 1838. He was even angry that I should interpret this in terms of imitative sounds. Item Number: A0.910933 The famous prelude op. Heavy drops of icy water fell in a regular rhythm on his breast, and when I made him listen to the sound of the drops of water indeed falling in rhythm on the roof, he denied having heard it. During their stay there was a terrible storm, and whilst playing the piano Chopin had a dream (as recalled by Sands): A large proportion of the Op.28 collection was composed during Chopin and George Sand’s visit at a monastery in Valldemossa, Mallorca in 1838. This particular prelude is the longest in the set, lasting between 5-7 minutes. His works are mainstays of Romanticism in 19th-century classical music.Frédéric Chopin: Raindrop Prelude Contextįrédéric Chopin’s Prelude Op.28, No.15, also known as the Raindrop Prelude is part of the composer’s 24 preludes. Chopin invented musical forms such as the ballade and was responsible for major innovations in forms such as the piano sonata, waltz, nocturne, étude, impromptu and prelude. Though technically demanding, Chopin's style emphasizes nuance and expressive depth rather than virtuosity. A Polish patriot,Ĭhopin's extant compositions were written primarily for the piano as a solo instrument. ![]() In Paris, he made a comfortable living as a composer and piano teacher, while giving few public performances. In November 1830, at the age of 20, Chopin went abroad following the suppression of the Polish November Uprising of 1830–31, he became one of many expatriates of the Polish "Great Emigration." He was born in the village of Żelazowa Wola, in the Duchy of Warsaw, to a Polish mother and French-expatriate father, and in his early life was regarded as a child-prodigy pianist. He is widely regarded as the greatest Polish composer, and ranks as one of music's greatest tone poets. Frédéric Chopin (1 March 1810 – 17 October 1849) was a Polish composer and virtuoso pianist of the Romantic period. ![]() RT Systems - Other hardware - USB-62 Radio Cable RT Systems - Other hardware - USB-82B Radio Cable RT Systems - Other hardware - USB-63 Radio Cable RT Systems - Other hardware - USB-63B Radio Cable Windows XP, Windows Server 2003, Windows XP 64-Bit Edition Version 2003, Windows Vista, Windows Server 2008, Windows 7, Windows 8, Windows 8.1 and later driversįTDI - Other hardware - SeaSmart Ethernet Gateway Adapter Windows XP, Windows XP 64-Bit Edition Version 2003, Windows Vista, Windows 7, Windows 8 RGI - Other hardware - RetinoGraphics BPM200 PANDUIT CORP - Printers - Panduit TDP43HY ![]() PANDUIT CORP - Printers - Panduit TDP43HE PANDUIT CORP - Printers - Panduit TDP46HE , Windows Server 2012 R2 and later drivers Windows XP, Windows Server 2003, Windows XP 64-Bit Edition Version 2003, Windows Vista, Windows Server 2008, Windows 7, Windows Server 2008 R2, Windows 8, Windows Server 2012, Windows 8.1 and later drivers PANDUIT CORP - Printers - Panduit TDP46HY Windows Server 2003, Datacenter Edition, Windows Server 2003, Windows XP 圆4 Edition, Windows Vista, Windows Server 2008 NET Framework 3.5 SP1 on Windows XP, Server 2003, Vista and Server 2008 for 圆4-based Systems (KB2836940) Windows Server 2003, Datacenter Edition, Windows Server 2003, Windows XP, Windows Server 2008, Windows Vista NET Framework 3.5 SP1 on Windows XP, Server 2003, Vista and Server 2008 x86 (KB2836940) Windows 7, Windows Server 2003, Datacenter Edition, Windows Server 2003, Windows Server 2008 R2, Windows Server 2008, Windows Vista, Windows XP 圆4 Edition NET Framework 4 on XP, Server 2003, Vista, Windows 7, Server 2008, Server 2008 R2 for 圆4 (KB2836939) Hotfix for Windows XP 圆4 Edition (KB2935092) Security Update for WES09 and POSReady 2009 (KB4018556) Windows 10, Vibranium and later, Servicing Drivers, Windows 10, Vibranium and later, Upgrade & Servicing Drivers Earlier we stored a Boolean value with a convenience method. If you want to store any other type of object, you should typically archive it to create an instance of NSData. You can store any object that is a property list (NSData, NSString, NSNumber, NSDate, NSArray, or NSDictionary). The UserDefaults class provides convenience methods for accessing common types such as floats, doubles, integers, Boolean values, and URLs. A default object must be a property list. It is usually safe to use UserDefaults, but NSUbiquitousKeyValueStore could cause issues if you are not careful. When considering using these NSObjects keep in mind how a user will use the app. ![]() You can apply the majority of what we discuss in regards to UserDefaults to NSUbiquitousKeyValueStore. It requires connection to iCloud unlike UserDefaults. You can store scalar values such as BOOL, as well as values containing any of the property list object types: NSNumber, NSString, NSDate, NSData, NSArray, and NSDictionary. NSUbiquitousKeyValueStore uses the iCloud key-value store to make preference, configuration, and app-state data available to every instance of your app on every device connected to a user’s iCloud account. htps://en./wiki/Persistence_(computer_science) If you are not familiar, I highly suggest reading this wikipedia article. *Persistence refers to the characteristic of state that outlives the process that created it. To synchronize preferences and other data across a user’s connected devices, use NSUbiquitousKeyValueStore instead. User’s defaults are stored locally on a single device, and persisted*, for backup and restore. When you set a default value, it’s changed synchronously within your process, and asynchronously to persistent storage and other processes. Since we switched the order of our code, it sets the default to false last, which the playground remembers as our most recent default.Īccording to Apple, at runtime, you use UserDefaults objects to read the defaults that your app uses from a user’s defaults database. UserDefaults caches the information to avoid having to open the user’s defaults database each time you need a default value. This time the playground will output false. Once again, modify your code to only print the value of User Defaults: import Foundation This time it will output true first and false second. Switch the order from before in your playground and run again. The playground will remember the most recent default you set for "User Defaults", and output true. Modify your code to only print the value of User Defaults: import Foundation We repeat, however this time we set a value of true for the key "User Defaults" and when we print to console it now returns true. We request and print the value of a key "User Defaults" and it returns false (like we set). ![]() Next we set the user defaults key "User Defaults" to a value of false. Line by line, we import foundation so we can access the included UserDefaults NSObject. Here is a quick example of user defaults in action before we jump back into Apple's documentation. We won't need to create any additional files or import other frameworks after this point. If your tool bar is missing, just hit Option-Command-T, or go to View -> Show Toolbar.ĭelete all the code in the playground and replace it with import Foundation. You can open the tab by clicking the top right button on the tool bar. ![]() ![]() This solves a common error where the playground never compiles or runs. Once created, open the identity tab and confirm that Playground Settings are set to macOS. Go ahead and create a fresh playground so we can test how much and what types of data can be stored without distractions. Before we continue defining and analyzing user defaults, let's quickly see how they work in a playground. The user defaults are best used in small ways, but they can be quite vast. The parameters are referred to as defaults because they’re commonly used to determine an app’s default state at startup or the way it acts by default. Apps store these preferences by assigning values to a set of parameters in a user’s defaults database. For example, you can allow users to specify their preferred units of measurement or media playback speed. "User defaults are an interface to the user’s defaults database, where you store key-value pairs persistently across launches of your app."Īccording to Apple, the defaults system allows an app to customize its behavior to match a user’s preferences. I follow Apple's documentation closely in this article, often quoting directly, so if you'd like to first look through their documentation follow the link at the bottom of the article. In this article, we will cover what user defaults are, how to use them, and why to use them. One of the easiest ways to store data locally is with user defaults. ![]() Heliyon 7(1):e05948Ĭostello JC, Heiser LM, Georgii E, Gönen M, Menden MP, Wang NJ, Bansal M, Ammad-Ud-Din M, Hintsanen P, Khan SA et al (2014) A community effort to assess and improve drug sensitivity prediction algorithms. Briefings in bioinformatics 17(4):696–712Ĭhen T, Guestrin C (2016) Xgboost: A scalable tree boosting system, In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, p 785–794Ĭorreia AS, Gärtner F, Vale N (2021) Drug combination and repurposing for cancer therapy: The example of breast cancer. PloS one 9(1):e86499Ĭhen X, Yan CC, Zhang X, Zhang X, Dai F, Yin J, Zhang Y (2016) Drug-target interaction prediction: databases, web servers and computational models. Nucleic acids research 30(1):412–415Ĭhen X, Ren B, Chen M, Liu MX, Ren W, Wang QX, Zhang LX, Yan GY (2014) Asdcd: antifungal synergistic drug combination database. ![]() ![]() Elsevier 2018:731–755Ĭhen X, Ji ZL, Chen YZ (2002) Ttd: Therapeutic target database. Machine learning 45(1):5–32Ĭancer summary data visualisation, (2022) ,Ĭhandrasekaran B, Abed SN, Al-Attraqchi O, Kuche K, Tekade RK (2018) Computer-aided prediction of pharmacokinetic (admet) properties, in Dosage form design parameters. Annals of applied biology 26(3):585–615īreiman L (2021) Random forests. Nature reviews Drug discovery 2(5):369–378īliss CI (1939) The toxicity of poisons applied jointly 1. Springer, 2019īleicher KH, Böhm HJ, Müller K, Alanine AI (2003) Hit and lead generation: Beyond high-throughput screening. Computers in Biology and Medicine 138:104933īisong E (2019) Building machine learning and deep learning models on Google cloud platform. ![]() Nature 483(7391):603–607īerahmand K, Nasiri E, Li Y et al (2021) Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding. Nature Reviews Drug Discovery 1(11):882–894īarretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, Wilson CJ, Lehár J, Kryukov GV, Sonkin D et al (2012) The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nucleic acids research 47(D1):D711–D715īajorath J (2002) Integration of virtual and high-throughput screening. Nature biotechnology 30(7):679–692Īthar A, Füllgrabe A, George N, Iqbal H, Huerta L, Ali A, Snow C, Fonseca NA, Petryszak R, Papatheodorou I et al (2019) Arrayexpress update-from bulk to single-cell expression data. By using computational techniques, researchers can shorten the delivery time for new drugs thereby saving money as well as time.Īl-Lazikani B, Banerji U, Workman P (2012) Combinatorial drug therapy for cancer in the post-genomic era. The analysis of computational techniques presented in this paper shows the promising direction in the study related to drug synergy using existing datasets which have been created by reliable and authenticated national cancer institute (NCI) and O’Neil study. Using the root mean squared error (RMSE), mean absolute percentage error (MAPE), Pearson’s correlation coefficient, and coefficient of determination (R \(^\) metric is a good choice for the selection of computational technique. The drug pairs screening data from NCI-ALMANAC and Merck is used for training computational techniques. In this study, the combined activity of anticancer drugs are modelled with computational techniques random forest, linear regressor, decision tree, and adaBoost regressor. It is critical for scholars interested in this field to be aware of relevant datasets to discern their findings and (i) understand how to use them (ii) instead of creating custom datasets, they can speed up their research by utilizing the pre-existing datasets. Thus, it has attracted a lot of interest from researchers and pharmaceutical companies. This approach can increase therapeutic efficacy, reduce toxicity, and overcome drug resistance compared with single-drug administrations. Drug synergy has become a promising approach for malignant diseases. ![]() An argument between the child and a family member and/or disciplinary action was often a precipitating circumstance of the suicide.Ĭonclusions and Relevance This qualitative study found that childhood suicide was associated with multiple risk factors and commonly preceded by a negative precipitating event. Findings revealed childhood suicide was associated with numerous risk factors accumulated over time, and suggest a progression toward suicidal behavior, especially for youth with a history of psychopathology and suicidal behavior. Details on gun access were noted in 88.0% (n = 22) of suicides by firearm, and in every case, the child obtained a firearm stored unsafely in the home. Suicide by hanging or suffocation (78.4% ) was the most frequent method, followed by firearms (18.7% ). ![]() Most suicides occurred in the child’s home (95.5% ), and more specifically in the child’s bedroom. Results Analyses included 134 child decedents (101 males 79 White individuals 109 non-Hispanic individuals mean age, 10.6 years). Main Outcomes and Measures Suicide incidence and risk factors for suicide including mental health, prior suicidal behavior, trauma, and peer, school, or family-related problems. Details and context related to suicide deaths were identified through a content analysis of case narratives from coroner or medical examiner and law enforcement reports associated with each incident.Įxposures Characteristics and precipitating circumstances associated with suicide cited in the coroner, medical examiner, and law enforcement case narratives. The NVDRS is a state-based surveillance system that collects data on suicide and violent deaths in 50 states, with restricted-use data available from 37 states. Objective To examine characteristics and precipitating circumstances of childhood suicide.ĭesign, Setting, and Participants This qualitative study examined restricted-use data from the National Violent Death Reporting System (NVDRS) regarding child suicide decedents aged 5 to 11 years in the US from 2013 to 2017. ![]() A better understanding of factors associated with childhood suicide can inform developmentally appropriate prevention strategies. Importance Suicide is the eighth leading cause of death among children aged 5 to 11 years, with rates increasing during the past decade. Shared Decision Making and Communication.Scientific Discovery and the Future of Medicine.Health Care Economics, Insurance, Payment.Clinical Implications of Basic Neuroscience.Challenges in Clinical Electrocardiography.With your support, Tweeter's Retreat can continue to provide a home for unwanted, abused, neglected, and/or slaughter-bound farm animals. ![]() Their ultimate goal is to educate the public on the fascinating, complex, and rich lives of farm animals and achieve the ultimate goal of helping them align their love for animal with their lifestyle. Currently funded solely by the founder, the patreon charity was established to help achieve goals, which include providing permanent care to the current residents and helping more farm animals in need. The founder of Tweeter's Retreat operates on vegan principles and is dedicated to providing a haven for individuals that have historically suffered and been exploited. They have transformed a former slaughterhouse property into a beautiful, safe, and secure sanctuary for farm animals that have suffered abuse, neglect, and exploitation. Tweeter's Retreat Animal Sanctuary is a truly inspiring and heartwarming charity founded in May of 2018 in central Florida. ![]() tts_to_file( text = "This is a test.", file_path = OUTPUT_PATH) # Init TTS with the target studio speaker tts = TTS( model_name = "coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar = False, gpu = False) # The name format is coqui_studio/en//coqui_studio models = TTS(). # If you have a valid API token set you will see the studio speakers as separate models in the list. # You should set the `COQUI_STUDIO_TOKEN` environment variable to use the API token. # You can use all of your available speakers in the studio. # Example text to speech using () models. "Wie sage ich auf Italienisch, dass ich dich liebe?", tts = TTS( "tts_models/de/thorsten/tacotron2-DDC") This way, you can # clone voices by using any model in □TTS. # Example voice cloning by a single speaker TTS model combining with the voice conversion model. ![]() voice_conversion_to_file( source_wav = "my/source.wav", target_wav = "my/target.wav", file_path = "output.wav") # Example voice conversion converting speaker of the `source_wav` to the speaker of the `target_wav` tts = TTS( model_name = "voice_conversion_models/multilingual/vctk/freevc24", progress_bar = False, gpu = True) tts_to_file( "Isso é clonagem de voz.", speaker_wav = "my/cloning/audio.wav", language = "pt-br", file_path = "output.wav") tts_to_file( "C'est le clonage de la voix.", speaker_wav = "my/cloning/audio.wav", language = "fr-fr", file_path = "output.wav") tts_to_file( "This is voice cloning.", speaker_wav = "my/cloning/audio.wav", language = "en", file_path = "output.wav") # Example voice cloning with YourTTS in English, French and Portuguese tts = TTS( model_name = "tts_models/multilingual/multi-dataset/your_tts", progress_bar = False, gpu = True) tts_to_file( text = "Ich bin eine Testnachricht.", file_path = OUTPUT_PATH) # Running a single speaker model # Init TTS with the target model name tts = TTS( model_name = "tts_models/de/thorsten/tacotron2-DDC", progress_bar = False, gpu = False) tts_to_file( text = "Hello world!", speaker = tts. ![]() tts( "This is a test! This is also a test!!", speaker = tts. # Run TTS # ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language # Text to speech with a numpy output wav = tts. api import TTS # Running a multi-speaker and multi-lingual model # List available □TTS models and choose the first one model_name = TTS. If you are only interested in synthesizing speech with the released □TTS models, installing from PyPI is the easiest option.įrom TTS. You can also help us implement more models. Modular (but not too much) code base enabling easy implementation of new ideas.Tools to curate Text2Speech datasets under dataset_analysis.Efficient, flexible, lightweight but feature complete Trainer API. ![]() Detailed training logs on the terminal and Tensorboard.Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN).Speaker Encoder to compute speaker embeddings efficiently.Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).High-performance Deep Learning models for Text2Speech tasks.Underlined "TTS*" and "Judy*" are □TTS models Features Help is much more valuable if it's shared publicly so that more people can benefit from it. Please use our dedicated channels for questions and discussion. □ English Voice Samples and SoundCloud playlist □TTS comes with pretrained models, tools for measuring dataset quality and already used in 20+ languages for products and research projects. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality. □TTS is a library for advanced Text-to-Speech generation. □ Voice cloning is live on Coqui Studio.□ Voice generation with fusion - Voice fusion - is live on Coqui Studio.□ Voice generation with prompts - Prompt to Voice - is live on Coqui Studio!! - Blog Post.□ Coqui Studio API is landed on □TTS.□ □TTS now supports □Tortoise with faster inference.□ You can use ~1100 Fairseq models with □TTS. |
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