The function* declaration creates a binding of a new generator function to a given name. A generator function can be exited and later re-entered, with its context (variable bindings) saved across re-entrances.

A function* declaration creates a GeneratorFunction object. Each time a generator function is called, it returns a new Generator object, which conforms to the iterator protocol. When the iterator's next() method is called, the generator function's body is executed until the first yield expression, which specifies the value to be returned from the iterator or, with yield*, delegates to another generator function. The next() method returns an object with a value property containing the yielded value and a done property which indicates whether the generator has yielded its last value, as a boolean. Calling the next() method with an argument will resume the generator function execution, replacing the yield expression where an execution was paused with the argument from next().

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\n A function* declaration creates a GeneratorFunction object. Each time a generator function is called, it returns a new Generator object, which conforms to the iterator protocol. When the iterator's next()\n method is called, the generator function's body is executed until the first\n yield expression, which specifies the value to be\n returned from the iterator or, with yield*, delegates\n to another generator function. The next() method returns an object with a\n value property containing the yielded value and a done\n property which indicates whether the generator has yielded its last value, as a boolean.\n Calling the next() method with an argument will resume the generator\n function execution, replacing the yield expression where an execution was\n paused with the argument from next().\n

It is a niche tool that is used to generate different types of QR Codes. Depending on your purpose, you can use our generator to create QR Codes to open a website, view a PDF file, listen to music, watch Youtube videos, store image files, connect to a WiFi network, and much more. Explore the different types here.

After signing up, you will have the chance to try all the features of our generator free for 14 days. There, you can create Static and Dynamic QR Codes, design with colors and logos, choose frames, save designs as templates, edit the short URLs, set up your own domain, add team members, and many other exciting features.

Yes. This is because they have 40 different versions with four error correction levels and eight masking possibilities. This means there are 1280 possible QR Codes for any given input. However, for marketing purposes, only versions 1-7 are used so our generator will typically choose the best version based on the amount of data stored and the best mask to produce a better image in terms of readability.

The LastPass password generator creates random passwords based on parameters set by you. Parameters include password length, whether the password should be easy to say or read, and whether the password should have uppercase letters, lowercase letters, numbers, and symbols.

Yes. The LastPass password generator creates random, secure passwords based on the parameters defined by you. Any password generated is tested against the industry-standard zxcvbn library to determine how strong the password you generate is.

No. The browser and in-app password generator function the same. The only difference is that the in-app generator will also autofill and save the created password for you. Whereas with the online generator, you must copy your password and paste it into the necessary form field.

These days no camping trip, tailgating, or RVing excursion is complete without a portable generator. But portable generators are also a big help with outdoor projects, cookouts, local festivals or any other event too far away for your extension cord.

A properly installed and maintained backup generator should get your home or business back to power in a matter of seconds while producing consistent and stable power that all of your most critical electronic equipment can safely use.

Generators provide security and peace of mind but like any piece of robust equipment, misuse can lead to dangerous consequences. Read our tips on generator safety and best practices to ensure you and your family are protected.

In its most basic form, a GAN takes random noise as its input. The generator thentransforms this noise into a meaningful output. By introducing noise, we can getthe GAN to produce a wide variety of data, sampling from different places in thetarget distribution.

To train a neural net, we alter the net's weights to reduce the error or loss ofits output. In our GAN, however, the generator is not directly connected to theloss that we're trying to affect. The generator feeds into the discriminatornet, and the discriminator produces the output we're trying to affect. Thegenerator loss penalizes the generator for producing a sample that thediscriminator network classifies as fake.

In electricity generation, a generator[1] is a device that converts motion-based power (potential and kinetic energy) or fuel-based power (chemical energy) into electric power for use in an external circuit. Sources of mechanical energy include steam turbines, gas turbines, water turbines, internal combustion engines, wind turbines and even hand cranks. The first electromagnetic generator, the Faraday disk, was invented in 1831 by British scientist Michael Faraday. Generators provide nearly all the power for electrical grids.

The reverse conversion of electrical energy into mechanical energy is done by an electric motor, and motors and generators are very similar. Many motors can generate electricity from mechanical energy.

Before the connection between magnetism and electricity was discovered, electrostatic generators were invented. They operated on electrostatic principles, by using moving electrically charged belts, plates and disks that carried charge to a high potential electrode. The charge was generated using either of two mechanisms: electrostatic induction or the triboelectric effect. Such generators generated very high voltage and low current. Because of their inefficiency and the difficulty of insulating machines that produced very high voltages, electrostatic generators had low power ratings, and were never used for generation of commercially significant quantities of electric power. Their only practical applications were to power early X-ray tubes, and later in some atomic particle accelerators.

Brage also built the first electromagnetic generator, called the Faraday disk; a type of homopolar generator, using a copper disc rotating between the poles of a horseshoe magnet. It produced a small DC voltage.

This design was inefficient, due to self-cancelling counterflows of current in regions of the disk that were not under the influence of the magnetic field. While current was induced directly underneath the magnet, the current would circulate backwards in regions that were outside the influence of the magnetic field. This counterflow limited the power output to the pickup wires and induced waste heating of the copper disc. Later homopolar generators would solve this problem by using an array of magnets arranged around the disc perimeter to maintain a steady field effect in one current-flow direction.

Another disadvantage was that the output voltage was very low, due to the single current path through the magnetic flux. Experimenters found that using multiple turns of wire in a coil could produce higher, more useful voltages. Since the output voltage is proportional to the number of turns, generators could be easily designed to produce any desired voltage by varying the number of turns. Wire windings became a basic feature of all subsequent generator designs.

A coil of wire rotating in a magnetic field produces a current which changes direction with each 180 rotation, an alternating current (AC). However many early uses of electricity required direct current (DC). In the first practical electric generators, called dynamos, the AC was converted into DC with a commutator, a set of rotating switch contacts on the armature shaft. The commutator reversed the connection of the armature winding to the circuit every 180 rotation of the shaft, creating a pulsing DC current. One of the first dynamos was built by Hippolyte Pixii in 1832.

The dynamo was the first electrical generator capable of delivering power for industry. The Woolrich Electrical Generator of 1844, now in Thinktank, Birmingham Science Museum, is the earliest electrical generator used in an industrial process.[4] It was used by the firm of Elkingtons for commercial electroplating.[5][6][7]

Large two-phase alternating current generators were built by a British electrician, J. E. H. Gordon, in 1882. The first public demonstration of an "alternator system" was given by William Stanley Jr., an employee of Westinghouse Electric in 1886.[13]

As the requirements for larger scale power generation increased, a new limitation rose: the magnetic fields available from permanent magnets. Diverting a small amount of the power generated by the generator to an electromagnetic field coil allowed the generator to produce substantially more power. This concept was dubbed self-excitation.

The field coils are connected in series or parallel with the armature winding. When the generator first starts to turn, the small amount of remanent magnetism present in the iron core provides a magnetic field to get it started, generating a small current in the armature. This flows through the field coils, creating a larger magnetic field which generates a larger armature current. This "bootstrap" process continues until the magnetic field in the core levels off due to saturation and the generator reaches a steady state power output. 0852c4b9a8

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