Empty braces, {}, are used to create an empty dict as we will see in the next section in Java

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Empty braces, {}, are used to create an empty dict as we will see in the next section
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Syntax sadd(x) sclear() scopy() sdifference(t) s - t sdifference_update(t) s -= t sdiscard(x) sintersection(t) s & t sintersection_update(t) s &= t sisdisjoint(t) sissubset(t) s <= t sissuperset(t) s >= t spop() sremove(x) ssymmetric_ difference(t) s ^ t ssymmetric_ difference_update(t) s ^= t sunion(t) s | t supdate(t) s |= t
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Description
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Adds item x to set s if it is not already in s Removes all the items from set s Returns a shallow copy of set s Returns a new set that has every item that is in set s that is not in set t Removes every item that is in set t from set s Removes item x from set s if it is in s; see also
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Shallow and deep copying
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Returns a new set that has each item that is in both set s and set t Makes set s contain the intersection of itself and set t Returns True if sets s and t have no items in common Returns True if set s is equal to or a subset of set t; use s < t to test whether s is a proper subset of t Returns True if set s is equal to or a superset of set t; use s > t to test whether s is a proper superset of t Returns and removes a random item from set s, or raises a KeyError exception if s is empty Removes item x from set s, or raises a KeyError exception if x is not in s; see also setdiscard() Returns a new set that has every item that is in set s and every item that is in set t, but excluding items that are in both sets Makes set s contain the symmetric difference of itself and set t Returns a new set that has all the items in set s and all the items in set t that are not in set s Adds every item in set t that is not in set s, to
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set s
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This method and its operator (if it has one) can also be used with frozensets
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processing, once for each unique address Assuming that the IP addresses are hashable and are in iterable ips, and that the function we want called for each one is called process_ip() and is already de ned, the following code snippets will do what we want, although with subtly different behavior:
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seen = set() for ip in ips: if ip not in seen: seenadd(ip) process_ip(ip)
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for ip in set(ips): process_ip(ip)
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For the left-hand snippet, if we haven t processed the IP address before, we add it to the seen set and process it; otherwise, we ignore it For the right-hand snippet, we only ever get each unique IP address to process in the rst place The differences between the snippets are rst that the left-hand snippet creates the seen set which the right-hand snippet doesn t need, and second that the lefthand snippet processes the IP addresses in the order they are encountered in the ips iterable while the right-hand snippet processes them in an arbitrary order The right-hand approach is easier to code, but if the ordering of the ips iterable is important we must either use the left-hand approach or change the right-hand snippet s rst line to something like for ip in sorted(set(ips)): if this is suf cient to get the required order In theory the right-hand approach might be slower if the number of items in ips is very large, since it creates the set in one go rather than incrementally Sets are also used to eliminate unwanted items For example, if we have a list of lenames but don t want any make les included (perhaps because they are generated rather than handwritten), we might write:
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filenames = set(filenames) for makefile in {"MAKEFILE", "Makefile", "makefile"}: filenamesdiscard(makefile)
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This code will remove any make le that is in the list using any of the standard capitalizations It will do nothing if no make le is in the lenames list The same thing can be achieved in one line using the set difference (-) operator:
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filenames = set(filenames) - {"MAKEFILE", "Makefile", "makefile"}
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We can also use setremove() to remove items, although this method raises a KeyError exception if the item it is asked to remove is not in the set