<commit_before>from .ranking import Ranking
from .interleaving_method import InterleavingMethod
import numpy as np


class DictDependingOnTau(dict):
    '''is a dict which depends on a value of tau (or t)'''

    def __new__(cls, tau):
        if not hasattr(cls, '_tau_to_dict'):
            cls._tau_to_dict = {}
        if tau not in cls._tau_to_dict:
            cls._tau_to_dict[tau] = dict.__new__(cls, tau)
        return cls._tau_to_dict[tau]

    def __init__(self, tau):
        raise NotImplementedError()

    def __missing__(self, n):
        raise NotImplementedError()


class CumulationCache(DictDependingOnTau):
    '''is a dict where n -> List l where...

    the item at an index i is selected in probability of
    l[i] - l[i - 1] (or just l[i] if i == 0).
    '''

    class SumCache(DictDependingOnTau):
        '''is a dict where n -> Sum of 1 / r^t where r is in [1, n] .'''

        class MemberCache(DictDependingOnTau):
            '''is a dict where r -> 1 / r^t .'''

            def __init__(self, tau):
                self.tau = tau

            def __missing__(self, r):
                self[r] = 1.0 / r ** self.tau
                return self[r]

        def __init__(self, tau):
            self.member_cache = self.MemberCache(tau)

        def __missing__(self, n):
            self[n] = sum([self.member_cache[r] for r in range(1, n + 1)])
            return self[n]

    def __init__(self, tau):
        self.sum_cache = self.SumCache(tau)
        self.member_cache = self.SumCache.MemberCache(tau)

    def __missing__(self, l):
        result = []
        numerator = 0.0
        denominator = self.sum_cache[l]
        for r in range(1, l):
            numerator += self.member_cache[r]
            result.append(numerator / denominator)
        result.append(1)
        self[l] = result
        return result

    def choice_one_of(self, r_l):
        n = r_l.get_length()
        f = np.random.random()
        cumulation = self[n]
        node = r_l
        for i in range(0, n):
            if f < cumulation[i]:
                return node.next_value
            node = node.next


class RemovalNode(object):
    __slots__ = ['next_value', 'next']
    _pool = []

    @classmethod
    def take_one(cls):
        print(len(cls._pool))
        if 0 < len(cls._pool):
            return cls._pool.pop()
        else:
            return object.__new__(cls)

    def follow(self, prev, value):
        prev.next_value = value
        prev.next = self
        self.next = None
        self.next_value = None

    def remove_next(self):
        self._pool.append(self.next)
        self.next_value = self.next.next_value
        self.next = self.next.next
        return self.next_value


class RemovalList(RemovalNode):
    __slots__ = ['next_value', 'next', 'dict', 'last']

    def __init__(self, l=[]):
        self.next_value = None
        self.next = None
        self.dict = {}
        self.last = self
        for v in l:<commit_msg>fix typo<commit_after>from .ranking import Ranking
from .interleaving_method import InterleavingMethod
import numpy as np


class DictDependingOnTau(dict):
    '''is a dict which depends on a value of tau (or t)'''

    def __new__(cls, tau):
        if not hasattr(cls, '_tau_to_dict'):
            cls._tau_to_dict = {}
        if tau not in cls._tau_to_dict:
            cls._tau_to_dict[tau] = dict.__new__(cls, tau)
        return cls._tau_to_dict[tau]

    def __init__(self, tau):
        raise NotImplementedError()

    def __missing__(self, n):
        raise NotImplementedError()


class CumulationCache(DictDependingOnTau):
    '''is a dict where n -> List l where...

    the item at an index i is selected in probability of
    l[i] - l[i - 1] (or just l[i] if i == 0).
    '''

    class SumCache(DictDependingOnTau):
        '''is a dict where n -> Sum of 1 / r^t where r is in [1, n] .'''

        class MemberCache(DictDependingOnTau):
            '''is a dict where r -> 1 / r^t .'''

            def __init__(self, tau):
                self.tau = tau

            def __missing__(self, r):
                self[r] = 1.0 / r ** self.tau
                return self[r]

        def __init__(self, tau):
            self.member_cache = self.MemberCache(tau)

        def __missing__(self, n):
            self[n] = sum([self.member_cache[r] for r in range(1, n + 1)])
            return self[n]

    def __init__(self, tau):
        self.sum_cache = self.SumCache(tau)
        self.member_cache = self.SumCache.MemberCache(tau)

    def __missing__(self, l):
        result = []
        numerator = 0.0
        denominator = self.sum_cache[l]
        for r in range(1, l):
            numerator += self.member_cache[r]
            result.append(numerator / denominator)
        result.append(1)
        self[l] = result
        return result

    def choice_one_of(self, r_l):
        n = r_l.get_length()
        f = np.random.random()
        cumulation = self[n]
        node = r_l
        for i in range(0, n):
            if f < cumulation[i]:
                return node.next_value
            node = node.next


class RemovalNode(object):
    __slots__ = ['next_value', 'next']
    _pool = []

    @classmethod
    def take_one(cls):
        if 0 < len(cls._pool):
            return cls._pool.pop()
        else:
            return object.__new__(cls)

    def follow(self, prev, value):
        prev.next_value = value
        prev.next = self
        self.next = None
        self.next_value = None

    def remove_next(self):
        self._pool.append(self.next)
        self.next_value = self.next.next_value
        self.next = self.next.next
        return self.next_value


class RemovalList(RemovalNode):
    __slots__ = ['next_value', 'next', 'dict', 'last']

    def __init__(self, l=[]):
        self.next_value = None
        self.next = None
        self.dict = {}
        self.last = self
        for v in l:
{'fraction_non_alphanumeric': 0.11313437868824819, 'fraction_numerical': 0.005058168942842691, 'mean_word_length': 1.919291338582677, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '899926', 'n_tokens_mistral': 1945, 'n_tokens_neox': 1862, 'n_words': 507}