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https://github.com/explosion/spaCy.git
synced 2024-12-24 00:46:28 +03:00
counter instead of preshcounter
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parent
e080412385
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0f0f07318a
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@ -5,7 +5,6 @@ import logging
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from pathlib import Path
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from collections import defaultdict
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from gensim.models import Word2Vec
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from preshed.counter import PreshCounter
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import plac
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import spacy
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@ -1,6 +1,5 @@
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from cymem.cymem cimport Pool
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cimport numpy as np
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from preshed.counter cimport PreshCounter
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from ..vocab cimport Vocab
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from ..structs cimport TokenC, LexemeC
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@ -9,6 +9,7 @@ cimport cython
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cimport numpy as np
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from libc.string cimport memcpy, memset
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from libc.math cimport sqrt
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from collections import Counter
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import numpy
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import numpy.linalg
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@ -698,7 +699,7 @@ cdef class Doc:
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# Handle 1d case
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return output if len(attr_ids) >= 2 else output.reshape((self.length,))
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def count_by(self, attr_id_t attr_id, exclude=None, PreshCounter counts=None):
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def count_by(self, attr_id_t attr_id, exclude=None, object counts=None):
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"""Count the frequencies of a given attribute. Produces a dict of
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`{attribute (int): count (ints)}` frequencies, keyed by the values of
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the given attribute ID.
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@ -713,50 +714,22 @@ cdef class Doc:
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cdef size_t count
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cdef int64_t this_value
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print("COUNTING")
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if counts is None:
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counts = PreshCounter()
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counts = Counter()
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output_dict = True
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print("counts None")
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else:
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output_dict = False
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# Take this check out of the loop, for a bit of extra speed
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if exclude is None:
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print("exclude None")
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for i in range(self.length):
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print()
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print("token", self[i])
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this_value = get_token_attr(&self.c[i], attr_id)
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print("token attr value", this_value)
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print("type attr value", type(this_value))
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print(i, "key this_value before", counts.c_map.cells[this_value].key)
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print(i, "value this_value before", <int64_t>counts.c_map.cells[this_value].value)
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counts.inc(this_value, 1)
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print(i, "key this_value after", counts.c_map.cells[this_value].key)
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print(i, "value this_value after", <int64_t>counts.c_map.cells[this_value].value)
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print(i, "key 0", counts.c_map.cells[0].key)
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print(i, "value 0", <int64_t>counts.c_map.cells[0].value)
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print(i, "key 1", counts.c_map.cells[1].key)
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print(i, "value 1", <int64_t>counts.c_map.cells[1].value)
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counts[this_value] += 1
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else:
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for i in range(self.length):
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if not exclude(self[i]):
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attr = get_token_attr(&self.c[i], attr_id)
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counts.inc(attr, 1)
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counts[attr] += 1
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if output_dict:
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print("output_dict")
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print(counts.length)
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print(counts.total)
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print("key 0", counts.c_map.cells[0].key)
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print("value 0", <int64_t>counts.c_map.cells[0].value)
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print("key 1", counts.c_map.cells[1].key)
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print("value 1", <int64_t>counts.c_map.cells[1].value)
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print()
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print(dict(counts))
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print()
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return dict(counts)
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def _realloc(self, new_size):
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