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# ProbDistribution¶

class ProbDistribution(data, shots=None)[소스]

기반 클래스: `dict`

A generic dict-like class for probability distributions.

Builds a probability distribution object.

매개변수
• data (dict) –

Input probability data. Where the keys represent a measured classical value and the value is a float for the probability of that result. The keys can be one of several formats:

• A hexadecimal string of the form `"0x4a"`

• A bit string e.g. `'0b1011'` or `"01011"`

• An integer

• shots (int) – Number of shots the distribution was derived from.

예외 발생
• TypeError – If the input keys are not a string or int

• ValueError – If the string format of the keys is incorrect

Methods

 `binary_probabilities` Build a probabilities dictionary with binary string keys `clear` `copy` `fromkeys` Create a new dictionary with keys from iterable and values set to value. `get` Return the value for key if key is in the dictionary, else default. `hex_probabilities` Build a probabilities dictionary with hexadecimal string keys `items` `keys` `pop` If key is not found, d is returned if given, otherwise KeyError is raised `popitem` Remove and return a (key, value) pair as a 2-tuple. `setdefault` Insert key with a value of default if key is not in the dictionary. `update` If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] `values`