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At the same time, Simon Stewart at ThoughtWorks developed a superior browser automation tool called WebDriver. In 2009, after a meeting between the developers at the Google Test Automation Conference, it was decided to merge the two projects, and call the new project Selenium WebDriver, or Selenium 2.0. [7]
A core set of fields is standardized by the Internet Engineering Task Force (IETF) in RFC 9110 and 9111. The Field Names, Header Fields and Repository of Provisional Registrations are maintained by the IANA. Additional field names and permissible values may be defined by each application. Header field names are case-insensitive. [4]
Java programming language includes the HashSet, HashMap, LinkedHashSet, and LinkedHashMap generic collections. [53] Python's built-in dict implements a hash table in the form of a type. [54] Ruby's built-in Hash uses the open addressing model from Ruby 2.4 onwards. [55] Rust programming language includes HashMap, HashSet as part of the Rust ...
A distributed hash table (DHT) is a distributed system that provides a lookup service similar to a hash table. Key–value pairs are stored in a DHT, and any participating node can efficiently retrieve the value associated with a given key.
Hash collision resolved by linear probing (interval=1). Open addressing, or closed hashing, is a method of collision resolution in hash tables.With this method a hash collision is resolved by probing, or searching through alternative locations in the array (the probe sequence) until either the target record is found, or an unused array slot is found, which indicates that there is no such key ...
Selenium is found in metal sulfide ores, where it substitutes for sulfur. Commercially, selenium is produced as a byproduct in the refining of these ores. Minerals that are pure selenide or selenate compounds are rare. The chief commercial uses for selenium today are glassmaking and pigments. Selenium is a semiconductor and is used in photocells.
In field trials, they detected concentrations of parts per trillion with a detection probability of 97–99 percent and false positives of less than 1 percent. When targets were placed consisting of small amounts of 2.4-DNT mixed with sand, they detect vapor plumes from the source several meters away and follow them to the source.