repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
PageIndex | pageindex/flash/phases/line_numbers.py | .py | """Line-number column detection and stripping."""
from __future__ import annotations
import math
from typing import Optional
from sortedcontainers import SortedKeyList
from ..model import (
Span,
left_aligned,
right_aligned,
center_aligned,
x_centers_close,
to_number,
Rect,
append_spa... | 163 | 6,666 |
PageIndex | pageindex/flash/labels/__init__.py | .py | """Keyword-labeled section and caption-region detection. This module finds blocks that look like figure/table/chart labels or named
sections, then extends each label forward or backward to claim the associated
body blocks. The resulting regions are used by classification and outline
assembly to avoid treating captions ... | 49 | 2,090 |
PageIndex | pageindex/flash/labels/caption_text.py | .py | """Caption label text helpers and structural-number parsing."""
from __future__ import annotations
import regex as regex_module # Unicode \p{...} property classes.
from typing import Optional
from ..model import (
Rect, rect_union, extend_top_to, extend_bottom_to, EMPTY_RECT, Bounded,
_trim_unicode_ws,
c... | 172 | 7,031 |
PageIndex | pageindex/flash/labels/caption_regions.py | .py | """Caption region growth, deduplication, and detection."""
from __future__ import annotations
from typing import Optional
from ..classification import FIGURE_KEYWORDS_TRIE, TABLE_KEYWORDS_TRIE, CHART_KEYWORDS_TRIE
from ..model import (
Rect, rect_union, extend_top_to, extend_bottom_to, EMPTY_RECT, Bounded,
_... | 367 | 16,857 |
PageIndex | pageindex/integrations/openai_agents.py | .py | """OpenAI Agents SDK adapter for the Agent(tools=...) slot.
Cloud clients default to the live read tool set as plain FunctionTools via
the MCP bridge; pass hosted=True to use a single HostedMCPTool instead
(the model connects to the PageIndex cloud MCP server from OpenAI's side —
the read-only ``?tools=read`` endpoint... | 79 | 3,643 |
PageIndex | pageindex/integrations/__init__.py | .py | """Framework adapters for the agent tools layer.
These modules import their target frameworks lazily, at call time — the
frameworks are never required to install or import pageindex.
"""
| 6 | 190 |
PageIndex | pageindex/integrations/claude_agent_sdk.py | .py | """Claude Agent SDK adapter: one value for the mcp_servers slot.
Cloud clients get the remote PageIndex MCP config — the framework connects
directly, and include_management picks the endpoint (the read-only
``?tools=read`` URL by default); local clients get an in-process SDK MCP
server over the same tool contract, gat... | 68 | 2,643 |
PageIndex | pageindex/integrations/anthropic_sdk.py | .py | """Anthropic SDK adapter for the tool runner's tools=... slot.
Cloud clients get one runnable tool per live cloud MCP tool — the server's
input schemas pass through verbatim (MCP inputSchema and Messages API
input_schema are the same shape), calls proxied over MCP. Local clients get
the in-process tools — the same set... | 60 | 2,325 |
PageIndex | tests/test_client.py | .py | """SDK surface tests: PageIndexClient in local and cloud mode."""
import asyncio
import importlib
import json
import re
import shutil
import types
import pytest
import pageindex.flash
import pageindex.utils
from pageindex import PageIndexClient, PageIndexAPIError
page_index_module = importlib.import_module("pageinde... | 812 | 33,058 |
PageIndex | tests/test_agent_tools.py | .py | """Agent tools layer: cloud-contract parity and behavior against a seeded
local store (no LLM calls; one live parity test gated on PAGEINDEX_API_KEY)."""
import asyncio
import json
import os
import re
import sys
import time
import types
from pathlib import Path
import pytest
import pageindex.agent_tools as agent_tool... | 2,213 | 93,320 |
PageIndex | tests/test_issue_163.py | .py | import pytest
import sys
import os
from unittest.mock import patch, MagicMock
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
from pageindex.page_index_classic import (
check_if_toc_extraction_is_complete,
check_if_toc_transformation_is_complete,
toc_detector_single_page,
detect_page... | 136 | 6,066 |
PageIndex | tests/test_page_index.py | .py | import unittest
from unittest.mock import Mock, patch
from pageindex.page_index_classic import (
_secure_doc_text,
process_no_toc,
process_toc_no_page_numbers,
)
class ProcessTocNoPageNumbersTest(unittest.TestCase):
def test_rejects_same_length_reordered_llm_toc(self):
toc = [
{"s... | 70 | 2,776 |
PageIndex | tests/test_page_index_md.py | .py | import unittest
from pageindex.page_index_md import extract_nodes_from_markdown
class ExtractNodesFromMarkdownTest(unittest.TestCase):
def test_skips_bold_heading_with_only_whitespace(self):
nodes, _ = extract_nodes_from_markdown("** **\n**Valid heading**")
self.assertEqual(
nodes,... | 24 | 563 |
PageIndex | tests/test_package_surface.py | .py | """What `pip install pageindex` exposes: 0.2.8 helper compat and import cost."""
import subprocess
import sys
from pageindex.utils import create_node_mapping, print_tree, remove_fields
TREE = [
{"title": "Root", "node_id": "0000", "page_index": 1,
"text": "root text",
"nodes": [
{"title": "Chil... | 104 | 4,061 |
PageIndex | tests/test_local_chat.py | .py | """Local chat surfaces: three protocols over fake backends — no network,
no LLM keys. Tool execution runs for real against a seeded local store."""
import asyncio
import json
import sys
import types
import httpx # via the hard `openai` dependency
import pytest
import pageindex.local_chat as local_chat
from pageindex... | 1,395 | 60,212 |
PageIndex | tests/conftest.py | .py | import pytest
@pytest.fixture(autouse=True)
def _llm_key(monkeypatch):
"""Deterministic key presence for every test; missing-key tests delenv."""
monkeypatch.setenv("OPENAI_API_KEY", "test-key")
def build_pdf(page_texts):
"""Build a minimal, uncompressed PDF (one Helvetica line per page) whose
text ... | 53 | 2,008 |
PageIndex | examples/agentic_vectorless_rag_demo.py | .py | """
Agentic Vectorless RAG with PageIndex - Demo
A simple example of building a document QA agent with the PageIndex SDK in
local mode and the OpenAI Agents SDK. Instead of vector similarity search and
chunking, PageIndex builds a hierarchical tree index and uses agentic LLM
reasoning for human-like, context-aware ret... | 170 | 7,071 |
jieba | setup.py | .py | # -*- coding: utf-8 -*-
from distutils.core import setup
LONGDOC = """
jieba
=====
“结巴”中文分词：做最好的 Python 中文分词组件
"Jieba" (Chinese for "to stutter") Chinese text segmentation: built to
be the best Python Chinese word segmentation module.
完整文档见 ``README.md``
GitHub: https://github.com/fxsjy/jieba
特点
====
- 支持三种分词模式：... | 76 | 2,563 |
jieba | jieba/_compat.py | .py | # -*- coding: utf-8 -*-
import logging
import os
import sys
log_console = logging.StreamHandler(sys.stderr)
default_logger = logging.getLogger(__name__)
default_logger.setLevel(logging.DEBUG)
def setLogLevel(log_level):
default_logger.setLevel(log_level)
check_paddle_install = {'is_paddle_installed': False}
t... | 90 | 2,785 |
jieba | jieba/__main__.py | .py | """Jieba command line interface."""
import sys
import jieba
from argparse import ArgumentParser
from ._compat import *
parser = ArgumentParser(usage="%s -m jieba [options] filename" % sys.executable, description="Jieba command line interface.", epilog="If no filename specified, use STDIN instead.")
parser.add_argument... | 62 | 2,371 |
jieba | jieba/__init__.py | .py | from __future__ import absolute_import, unicode_literals
__version__ = '0.42.1'
__license__ = 'MIT'
import marshal
import re
import tempfile
import threading
import time
from hashlib import md5
from math import log
from . import finalseg
from ._compat import *
if os.name == 'nt':
from shutil import move as _rep... | 620 | 19,809 |
jieba | jieba/posseg/__init__.py | .py | from __future__ import absolute_import, unicode_literals
import pickle
import re
import jieba
from .viterbi import viterbi
from .._compat import *
PROB_START_P = "prob_start.p"
PROB_TRANS_P = "prob_trans.p"
PROB_EMIT_P = "prob_emit.p"
CHAR_STATE_TAB_P = "char_state_tab.p"
re_han_detail = re.compile("([\u4E00-\u9FD5... | 311 | 9,652 |
jieba | jieba/posseg/prob_trans.py | .py | P={('B', 'a'): {('E', 'a'): -0.0050648453069648755,
('M', 'a'): -5.287963037107507},
('B', 'ad'): {('E', 'ad'): -0.0007479013978476627,
('M', 'ad'): -7.198613337130562},
('B', 'ag'): {},
('B', 'an'): {('E', 'an'): 0.0},
('B', 'b'): {('E', 'b'): -0.06753917715798491,
('M', ... | 5,308 | 247,312 |
jieba | jieba/posseg/prob_start.py | .py | P={('B', 'a'): -4.762305214596967,
('B', 'ad'): -6.680066036784177,
('B', 'ag'): -3.14e+100,
('B', 'an'): -8.697083223018778,
('B', 'b'): -5.018374362109218,
('B', 'bg'): -3.14e+100,
('B', 'c'): -3.423880184954888,
('B', 'd'): -3.9750475297585357,
('B', 'df'): -8.888974230828882,
('B', 'dg'): -3.14e+100,
('B'... | 257 | 7,204 |
jieba | jieba/posseg/viterbi.py | .py | import sys
import operator
MIN_FLOAT = -3.14e100
MIN_INF = float("-inf")
if sys.version_info[0] > 2:
xrange = range
def get_top_states(t_state_v, K=4):
return sorted(t_state_v, key=t_state_v.__getitem__, reverse=True)[:K]
def viterbi(obs, states, start_p, trans_p, emit_p):
V = [{}] # tabular
mem_p... | 54 | 1,610 |
jieba | jieba/finalseg/__init__.py | .py | from __future__ import absolute_import, unicode_literals
import re
import os
import sys
import pickle
from .._compat import *
MIN_FLOAT = -3.14e100
PROB_START_P = "prob_start.p"
PROB_TRANS_P = "prob_trans.p"
PROB_EMIT_P = "prob_emit.p"
PrevStatus = {
'B': 'ES',
'M': 'MB',
'S': 'SE',
'E': 'BM'
}
For... | 101 | 2,659 |
jieba | jieba/finalseg/prob_trans.py | .py | P={'B': {'E': -0.510825623765990, 'M': -0.916290731874155},
'E': {'B': -0.5897149736854513, 'S': -0.8085250474669937},
'M': {'E': -0.33344856811948514, 'M': -1.2603623820268226},
'S': {'B': -0.7211965654669841, 'S': -0.6658631448798212}}
| 5 | 241 |
jieba | jieba/finalseg/prob_start.py | .py | P={'B': -0.26268660809250016,
'E': -3.14e+100,
'M': -3.14e+100,
'S': -1.4652633398537678}
| 5 | 93 |
jieba | jieba/analyse/analyzer.py | .py | # encoding=utf-8
from __future__ import unicode_literals
from whoosh.analysis import RegexAnalyzer, LowercaseFilter, StopFilter, StemFilter
from whoosh.analysis import Tokenizer, Token
from whoosh.lang.porter import stem
import jieba
import re
STOP_WORDS = frozenset(('a', 'an', 'and', 'are', 'as', 'at', 'be', 'by', '... | 38 | 1,403 |
jieba | jieba/analyse/textrank.py | .py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import sys
from operator import itemgetter
from collections import defaultdict
import jieba.posseg
from .tfidf import KeywordExtractor
from .._compat import *
class UndirectWeightedGraph:
d = 0.85
def __in... | 111 | 3,772 |
jieba | jieba/analyse/__init__.py | .py | from __future__ import absolute_import
from .tfidf import TFIDF
from .textrank import TextRank
try:
from .analyzer import ChineseAnalyzer
except ImportError:
pass
default_tfidf = TFIDF()
default_textrank = TextRank()
extract_tags = tfidf = default_tfidf.extract_tags
set_idf_path = default_tfidf.set_idf_path
t... | 19 | 501 |
jieba | jieba/analyse/tfidf.py | .py | # encoding=utf-8
from __future__ import absolute_import
import os
import jieba
import jieba.posseg
from operator import itemgetter
_get_module_path = lambda path: os.path.normpath(os.path.join(os.getcwd(),
os.path.dirname(__file__), path))
_get_abs_path = jieba._get_abs... | 117 | 4,310 |
jieba | jieba/lac_small/creator.py | .py | # -*- coding: UTF-8 -*-
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 47 | 1,476 |
jieba | jieba/lac_small/utils.py | .py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 143 | 4,319 |
jieba | jieba/lac_small/predict.py | .py | # -*- coding: UTF-8 -*-
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 82 | 2,626 |
jieba | jieba/lac_small/reader_small.py | .py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 101 | 3,123 |
jieba | jieba/lac_small/nets.py | .py | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 122 | 4,371 |
jieba | test/extract_tags.py | .py | import sys
sys.path.append('../')
import jieba
import jieba.analyse
from optparse import OptionParser
USAGE = "usage: python extract_tags.py [file name] -k [top k]"
parser = OptionParser(USAGE)
parser.add_option("-k", dest="topK")
opt, args = parser.parse_args()
if len(args) < 1:
print(USAGE)
sys.exit(1... | 31 | 528 |
jieba | test/test_pos.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../")
import jieba.posseg as pseg
def cuttest(test_sent):
result = pseg.cut(test_sent)
for word, flag in result:
print(word, "/", flag, ", ", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。... | 100 | 4,861 |
jieba | test/test_userdict.py | .py | #encoding=utf-8
from __future__ import print_function, unicode_literals
import sys
sys.path.append("../")
import jieba
jieba.load_userdict("userdict.txt")
import jieba.posseg as pseg
jieba.add_word('石墨烯')
jieba.add_word('凱特琳')
jieba.del_word('自定义词')
test_sent = (
"李小福是创新办主任也是云计算方面的专家; 什么是八一双鹿\n"
"例如我输入一个带“韩玉赏鉴”的标题，在自... | 49 | 1,393 |
jieba | test/extract_tags_idfpath.py | .py | import sys
sys.path.append('../')
import jieba
import jieba.analyse
from optparse import OptionParser
USAGE = "usage: python extract_tags_idfpath.py [file name] -k [top k]"
parser = OptionParser(USAGE)
parser.add_option("-k", dest="topK")
opt, args = parser.parse_args()
if len(args) < 1:
print(USAGE)
sy... | 33 | 594 |
jieba | test/test_paddle.py | .py | #encoding=utf-8
import sys
sys.path.append("../")
import jieba
jieba.enable_paddle()
def cuttest(test_sent):
result = jieba.cut(test_sent, use_paddle=True)
print(" / ".join(result))
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。")
cuttest("我不喜欢日本和服。")
cuttest("雷猴回归人间。"... | 103 | 5,127 |
jieba | test/test_cutall.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../")
import jieba
def cuttest(test_sent):
result = jieba.cut(test_sent,cut_all=True)
for word in result:
print(word, "/", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Pytho... | 102 | 4,990 |
jieba | test/test_cut_for_search.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../")
import jieba
def cuttest(test_sent):
result = jieba.cut_for_search(test_sent)
for word in result:
print(word, "/", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和... | 99 | 4,804 |
jieba | test/extract_tags_with_weight.py | .py | import sys
sys.path.append('../')
import jieba
import jieba.analyse
from optparse import OptionParser
USAGE = "usage: python extract_tags_with_weight.py [file name] -k [top k] -w [with weight=1 or 0]"
parser = OptionParser(USAGE)
parser.add_option("-k", dest="topK")
parser.add_option("-w", dest="withWeight")
opt,... | 44 | 895 |
jieba | test/test_bug.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../")
import jieba
import jieba.posseg as pseg
words=pseg.cut("又跛又啞")
for w in words:
print(w.word,w.flag)
| 11 | 199 |
jieba | test/test_tokenize_no_hmm.py | .py | #encoding=utf-8
from __future__ import print_function,unicode_literals
import sys
sys.path.append("../")
import jieba
g_mode="default"
def cuttest(test_sent):
global g_mode
result = jieba.tokenize(test_sent,mode=g_mode,HMM=False)
for tk in result:
print("word %s\t\t start: %d \t\t end:%d" % (tk[0]... | 107 | 5,544 |
jieba | test/test_pos_no_hmm.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../")
import jieba.posseg as pseg
def cuttest(test_sent):
result = pseg.cut(test_sent, HMM=False)
for word, flag in result:
print(word, "/", flag, ", ", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一... | 100 | 4,872 |
jieba | test/test_tokenize.py | .py | #encoding=utf-8
from __future__ import print_function,unicode_literals
import sys
sys.path.append("../")
import jieba
g_mode="default"
def cuttest(test_sent):
global g_mode
result = jieba.tokenize(test_sent,mode=g_mode)
for tk in result:
print("word %s\t\t start: %d \t\t end:%d" % (tk[0],tk[1],tk[... | 107 | 5,534 |
jieba | test/test_file.py | .py | import time
import sys
sys.path.append("../")
import jieba
jieba.initialize()
url = sys.argv[1]
content = open(url,"rb").read()
t1 = time.time()
words = "/ ".join(jieba.cut(content))
t2 = time.time()
tm_cost = t2-t1
log_f = open("1.log","wb")
log_f.write(words.encode('utf-8'))
log_f.close()
print('cost ' + str(tm_c... | 22 | 383 |
jieba | test/demo.py | .py | #encoding=utf-8
from __future__ import unicode_literals
import sys
sys.path.append("../")
import jieba
import jieba.posseg
import jieba.analyse
print('='*40)
print('1. 分词')
print('-'*40)
seg_list = jieba.cut("我来到北京清华大学", cut_all=True)
print("Full Mode: " + "/ ".join(seg_list)) # 全模式
seg_list = jieba.cut("我来到北京清华大学... | 85 | 2,678 |
jieba | test/jieba_test.py | .py | #-*-coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import sys
sys.path.append("../")
import unittest
import types
import jieba
if sys.version_info[0] > 2:
from imp import reload
jieba.initialize()
test_contents = [
"这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。",
"我不喜欢日本和服。",
"雷猴回... | 206 | 9,085 |
jieba | test/extract_tags_stop_words.py | .py | import sys
sys.path.append('../')
import jieba
import jieba.analyse
from optparse import OptionParser
USAGE = "usage: python extract_tags_stop_words.py [file name] -k [top k]"
parser = OptionParser(USAGE)
parser.add_option("-k", dest="topK")
opt, args = parser.parse_args()
if len(args) < 1:
print(USAGE)
... | 34 | 658 |
jieba | test/test_whoosh_file_read.py | .py | # -*- coding: UTF-8 -*-
from __future__ import unicode_literals
import sys
import os
sys.path.append("../")
from whoosh.index import create_in,open_dir
from whoosh.fields import *
from whoosh.qparser import QueryParser
from jieba.analyse import ChineseAnalyzer
analyzer = ChineseAnalyzer()
schema = Schema(title=TEXT... | 29 | 826 |
jieba | test/test_pos_file.py | .py | from __future__ import print_function
import sys
import time
sys.path.append("../")
import jieba
jieba.initialize()
import jieba.posseg as pseg
url = sys.argv[1]
content = open(url,"rb").read()
t1 = time.time()
words = list(pseg.cut(content))
t2 = time.time()
tm_cost = t2-t1
log_f = open("1.log","w")
log_f.write(' /... | 22 | 403 |
jieba | test/test_whoosh_file.py | .py | # -*- coding: UTF-8 -*-
from __future__ import unicode_literals
import sys
import os
sys.path.append("../")
from whoosh.index import create_in
from whoosh.fields import *
from whoosh.qparser import QueryParser
from jieba.analyse import ChineseAnalyzer
analyzer = ChineseAnalyzer()
schema = Schema(title=TEXT(stored=Tr... | 43 | 1,089 |
jieba | test/test_lock.py | .py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import jieba
import threading
def inittokenizer(tokenizer, group):
print('===> Thread %s:%s started' % (group, threading.current_thread().ident))
tokenizer.initialize()
print('<=== Thread %s:%s finished' % (group, threading.current_thread().ident))
tokrs1 = [jieba.Tok... | 43 | 1,113 |
jieba | test/test_no_hmm.py | .py | #encoding=utf-8
import sys
sys.path.append("../")
import jieba
def cuttest(test_sent):
result = jieba.cut(test_sent,HMM=False)
print(" / ".join(result))
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。")
cuttest("我不喜欢日本和服。")
cuttest("雷猴回归人间。")
cuttest("工信处女干事每月经过下属科... | 101 | 4,983 |
jieba | test/test_whoosh.py | .py | # -*- coding: UTF-8 -*-
from __future__ import unicode_literals
import sys,os
sys.path.append("../")
from whoosh.index import create_in,open_dir
from whoosh.fields import *
from whoosh.qparser import QueryParser
from jieba.analyse.analyzer import ChineseAnalyzer
analyzer = ChineseAnalyzer()
schema = Schema(title=TEX... | 65 | 1,743 |
jieba | test/extract_topic.py | .py | import sys
sys.path.append("../")
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn import decomposition
import jieba
import time
import glob
import sys
import os
import random
if len(sys.argv)<2:
print("usage: extract_topic.py di... | 64 | 1,463 |
jieba | test/test.py | .py | #encoding=utf-8
import sys
sys.path.append("../")
import jieba
def cuttest(test_sent):
result = jieba.cut(test_sent)
print(" / ".join(result))
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。")
cuttest("我不喜欢日本和服。")
cuttest("雷猴回归人间。")
cuttest("工信处女干事每月经过下属科室都要亲口交代24口... | 103 | 5,089 |
jieba | test/test_paddle_postag.py | .py | #encoding=utf-8
import sys
sys.path.append("../")
import jieba.posseg as pseg
import jieba
jieba.enable_paddle()
def cuttest(test_sent):
result = pseg.cut(test_sent, use_paddle=True)
for word, flag in result:
print('%s %s' % (word, flag))
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱... | 103 | 5,076 |
jieba | test/test_change_dictpath.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../")
import jieba
def cuttest(test_sent):
result = jieba.cut(test_sent)
print(" ".join(result))
def testcase():
cuttest("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。")
cuttest("我不喜欢日本和服。")
cuttest("雷猴回归人间。")
cuttest(... | 29 | 873 |
jieba | test/jiebacmd.py | .py | '''
usage example (find top 100 words in abc.txt):
cat abc.txt | python jiebacmd.py | sort | uniq -c | sort -nr -k1 | head -100
'''
from __future__ import unicode_literals
import sys
sys.path.append("../")
import jieba
default_encoding='utf-8'
if len(sys.argv)>1:
default_encoding = sys.argv[1]
while True:
... | 29 | 461 |
jieba | test/test_multithread.py | .py | #encoding=utf-8
import sys
import threading
sys.path.append("../")
import jieba
class Worker(threading.Thread):
def run(self):
seg_list = jieba.cut("我来到北京清华大学",cut_all=True)
print("Full Mode:" + "/ ".join(seg_list)) #全模式
seg_list = jieba.cut("我来到北京清华大学",cut_all=False)
print("Defau... | 30 | 830 |
jieba | test/parallel/extract_tags.py | .py | import sys
sys.path.append('../../')
import jieba
jieba.enable_parallel(4)
import jieba.analyse
from optparse import OptionParser
USAGE ="usage: python extract_tags.py [file name] -k [top k]"
parser = OptionParser(USAGE)
parser.add_option("-k",dest="topK")
opt, args = parser.parse_args()
if len(args) <1:
pr... | 35 | 550 |
jieba | test/parallel/test_pos.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../../")
import jieba
jieba.enable_parallel(4)
import jieba.posseg as pseg
def cuttest(test_sent):
result = pseg.cut(test_sent)
for w in result:
print(w.word, "/", w.flag, ", ", end=' ')
print("")
if __name__ == "... | 101 | 4,862 |
jieba | test/parallel/test_disable_hmm.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../../")
import jieba
jieba.enable_parallel(4)
def cuttest(test_sent):
result = jieba.cut(test_sent, HMM=False)
for word in result:
print(word, "/", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个伸手不... | 96 | 4,524 |
jieba | test/parallel/test_cut_for_search.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../../")
import jieba
jieba.enable_parallel(4)
def cuttest(test_sent):
result = jieba.cut_for_search(test_sent)
for word in result:
print(word, "/", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个伸手... | 96 | 4,525 |
jieba | test/parallel/test2.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../../")
import jieba
jieba.enable_parallel(4)
def cuttest(test_sent):
result = jieba.cut(test_sent,cut_all=True)
for word in result:
print(word, "/", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个... | 96 | 4,527 |
jieba | test/parallel/test_file.py | .py | import sys
import time
sys.path.append("../../")
import jieba
jieba.enable_parallel()
url = sys.argv[1]
content = open(url,"rb").read()
t1 = time.time()
words = "/ ".join(jieba.cut(content))
t2 = time.time()
tm_cost = t2-t1
log_f = open("1.log","wb")
log_f.write(words.encode('utf-8'))
print('speed %s bytes/second'... | 21 | 348 |
jieba | test/parallel/test_pos_file.py | .py | from __future__ import print_function
import sys,time
import sys
sys.path.append("../../")
import jieba
import jieba.posseg as pseg
jieba.enable_parallel(4)
url = sys.argv[1]
content = open(url,"rb").read()
t1 = time.time()
words = list(pseg.cut(content))
t2 = time.time()
tm_cost = t2-t1
log_f = open("1.log","w")
l... | 23 | 417 |
jieba | test/parallel/test.py | .py | #encoding=utf-8
from __future__ import print_function
import sys
sys.path.append("../../")
import jieba
jieba.enable_parallel(4)
def cuttest(test_sent):
result = jieba.cut(test_sent)
for word in result:
print(word, "/", end=' ')
print("")
if __name__ == "__main__":
cuttest("这是一个伸手不见五指的黑夜。我叫孙... | 100 | 4,821 |
detectron2 | setup.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import glob
import os
import shutil
from os import path
from setuptools import find_packages, setup
from typing import List
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
torch_ver = [int(x) for x in to... | 220 | 8,278 |
detectron2 | demo/predictor.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import atexit
import bisect
import multiprocessing as mp
from collections import deque
import cv2
import torch
from detectron2.data import MetadataCatalog
from detectron2.engine.defaults import DefaultPredictor
from detectron2.utils.video_visualizer import VideoVisual... | 221 | 7,836 |
detectron2 | demo/demo.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import glob
import multiprocessing as mp
import numpy as np
import os
import tempfile
import time
import warnings
import cv2
import tqdm
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.utils.... | 195 | 7,215 |
detectron2 | tools/plain_train_net.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Detectron2 training script with a plain training loop.
This script reads a given config file and runs the training or evaluation.
It is an entry point that is able to train standard models in detectron2.
In order to let one script support tr... | 222 | 7,961 |
detectron2 | tools/benchmark.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
A script to benchmark builtin models.
Note: this script has an extra dependency of psutil.
"""
import itertools
import logging
import psutil
import torch
import tqdm
from fvcore.common.timer import Timer
from torch.nn.parallel import Distrib... | 211 | 6,514 |
detectron2 | tools/lightning_train_net.py | .py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Lightning Trainer should be considered beta at this point
# We have confirmed that training and validation run correctly and produce correct results
# Depending on how you launch the trainer, there are issues with processes terminating correctl... | 246 | 8,840 |
detectron2 | tools/analyze_model.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from collections import Counter
import tqdm
from fvcore.nn import flop_count_table # can also try flop_count_str
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, ... | 165 | 5,052 |
detectron2 | tools/train_net.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
A main training script.
This scripts reads a given config file and runs the training or evaluation.
It is an entry point that is made to train standard models in detectron2.
In order to let one script support training of many models,
this sc... | 168 | 5,865 |
detectron2 | tools/convert-torchvision-to-d2.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import pickle as pkl
import sys
import torch
"""
Usage:
# download one of the ResNet{18,34,50,101,152} models from torchvision:
wget https://download.pytorch.org/models/resnet50-19c8e357.pth -O r50.pth
# run the conversion
./convert-torc... | 57 | 1,608 |
detectron2 | tools/visualize_data.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import os
from itertools import chain
import cv2
import tqdm
from detectron2.config import get_cfg
from detectron2.data import DatasetCatalog, MetadataCatalog, build_detection_train_loader
from detectron2.data import detection_uti... | 100 | 3,633 |
detectron2 | tools/visualize_json_results.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import json
import numpy as np
import os
from collections import defaultdict
import cv2
import tqdm
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import Boxes, BoxMode, Instances
from dete... | 96 | 3,265 |
detectron2 | tools/lazyconfig_train_net.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Training script using the new "LazyConfig" python config files.
This scripts reads a given python config file and runs the training or evaluation.
It can be used to train any models or dataset as long as they can be
instantiated by the recurs... | 142 | 4,604 |
detectron2 | tools/deploy/export_model.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import os
from typing import Dict, List, Tuple
import torch
from torch import Tensor, nn
import detectron2.data.transforms as T
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from det... | 246 | 9,454 |
detectron2 | dev/packaging/gen_install_table.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import argparse
template = """<details><summary> install </summary><pre><code>\
python -m pip install detectron2{d2_version} -f \\
https://dl.fbaipublicfiles.com/detectron2/wheels/{cuda}/torch{torch}/index.html
</code><... | 64 | 2,014 |
detectron2 | datasets/prepare_ade20k_sem_seg.py | .py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
from pathlib import Path
import tqdm
from PIL import Image
def convert(input, output):
img = np.asarray(Image.open(input))
assert img.dtype == np.uint8
img = img - 1 # 0 (ignore)... | 27 | 895 |
detectron2 | datasets/prepare_cocofied_lvis.py | .py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
import os
from collections import defaultdict
# This mapping is extracted from the official LVIS mapping:
# https://github.com/lvis-dataset/lvis-api/blob/master/data/coco_to_synset.json
COCO_SYNSE... | 177 | 7,617 |
detectron2 | datasets/prepare_panoptic_fpn.py | .py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import functools
import json
import multiprocessing as mp
import numpy as np
import os
import time
from fvcore.common.download import download
from panopticapi.utils import rgb2id
from PIL import Image
from detectron2.da... | 117 | 4,351 |
detectron2 | docs/conf.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path ... | 396 | 13,268 |
detectron2 | tests/test_scheduler.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import numpy as np
from unittest import TestCase
import torch
from fvcore.common.param_scheduler import (
CosineParamScheduler,
MultiStepParamScheduler,
StepWithFixedGammaParamScheduler,
)
from torch import nn
from detectron2.solver import LRM... | 159 | 5,017 |
detectron2 | tests/test_engine.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import json
import math
import os
import tempfile
import time
import unittest
from unittest import mock
import torch
from fvcore.common.checkpoint import Checkpointer
from torch import nn
from detectron2 import model_zoo
from detectron2.config import configurable, ge... | 265 | 10,654 |
detectron2 | tests/test_registry.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.modeling.meta_arch import GeneralizedRCNN
from detectron2.utils.registry import _convert_target_to_string, locate
class A:
class B:
pass
class TestLocate(unittest.TestCase):
def _test_obj(self, obj):
... | 46 | 1,243 |
detectron2 | tests/test_solver.py | .py | import unittest
from detectron2.solver.build import _expand_param_groups, reduce_param_groups
class TestOptimizer(unittest.TestCase):
def testExpandParamsGroups(self):
params = [
{
"params": ["p1", "p2", "p3", "p4"],
"lr": 1.0,
"weight_decay": 3... | 67 | 2,141 |
detectron2 | tests/test_export_torchscript.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import glob
import json
import os
import random
import tempfile
import unittest
import zipfile
import torch
from torch import Tensor, nn
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.config.instantiate import dump_... | 339 | 13,423 |
detectron2 | tests/test_export_onnx.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import io
import unittest
import warnings
import onnx
import torch
from packaging import version
from torch.hub import _check_module_exists
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.export import STABLE_ONNX_OPSET_VERSION
... | 244 | 8,884 |
detectron2 | tests/test_events.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import json
import os
import tempfile
import unittest
from detectron2.utils.events import (
CommonMetricPrinter,
EventStorage,
JSONWriter,
get_event_storage,
has_event_storage,
)
class TestEventWriter(unittest.TestCase):
def testScalar(self):... | 123 | 4,668 |
detectron2 | tests/test_model_analysis.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from torch import nn
from detectron2.utils.analysis import find_unused_parameters, flop_count_operators, parameter_count
from detectron2.utils.testing import get_model_no_weights
class RetinaNetTest(unittest.TestCase):
def setUp(se... | 81 | 2,890 |
detectron2 | tests/test_export_caffe2.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import copy
import os
import tempfile
import unittest
from torch.hub import _check_module_exists
from detectron2 import model_zoo
from detectron2.utils.logger import setup_logger
from detectron2.utils.testing import get_sample_coco_image
try:... | 52 | 1,957 |
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