repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/stats.py | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
#
# TITLE : coordinates initialization file
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# -----------------------------------------------------------------------------
# Docstring and Metadata
"""Statist... | 1,456 | 19.236111 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/units_decorators.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : unit decorator
# AUTHOR : Nathaniel Starkman
# PROJECT : Adapted for AST1501 from astronat
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""... | 28,317 | 34.133995 | 111 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/isochrone.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : isochrone
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""isochrone."""
__author__ = "Na... | 4,288 | 24.081871 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/table_utils.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : Table utilities
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Table utilities.
Routine... | 5,958 | 20.131206 | 83 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/util.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : util
# AUTHOR : Nathaniel Starkman
# PROJECT : AST15r01
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""util.
Routine Listings
-----------... | 5,076 | 23.17619 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/MegaCamGen1_from_PS1.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : MegaCamGen1_from_PS1
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""MegaCamGen1_from_PS1... | 17,792 | 20.966667 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/__init__.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : util initialization
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""util.
Routine Listin... | 1,295 | 18.343284 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/paths/__init__.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : paths initialization file
# AUTHOR : Nathaniel Starkman
# PROJECT : starkython
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""initializati... | 1,125 | 18.754386 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/coordinates/CustomCoords.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : Custom Coordinates
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Custom Coordinates.
T... | 9,412 | 25.515493 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/coordinates/frameattrs.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
#
# TITLE : frameattrs
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# -----------------------------------------------------------------------------
# Docstring and Metadata
"""Frame ... | 17,748 | 32.551985 | 81 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/util/coordinates/__init__.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
#
# TITLE : coordinates initialization file
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# -----------------------------------------------------------------------------
# Docstring a... | 625 | 22.185185 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/progenitors/load_progenitor.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : load_progenitor
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Load Progenitors."""
__a... | 5,287 | 23.943396 | 89 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/progenitors/__init__.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : progenitors initialization
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""progenitors: i... | 724 | 21.65625 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/progenitors/Palomar5.py | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
#
# TITLE : Palomar5
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# -----------------------------------------------------------------------------
# Docstring and Metadata
"""Palomar 5 Information."""
__a... | 2,418 | 28.144578 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/orbit/exceptions.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : exceptions
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""Exceptions."""
__author__ = "... | 867 | 20.7 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/orbit/_indexdict.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : indexdict
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""IndexDict."""
__author__ = "Na... | 7,639 | 21.339181 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/orbit/OrbitKeeper.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : OrbitKeeper
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""OrbitKeeper."""
__author__ =... | 11,370 | 25.692488 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/orbit/__init__.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : orbit initialization
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""orbit initialization... | 609 | 22.461538 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/src/orbit/_sequentialorbits.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : Sequential Orbits
# AUTHOR : Nathaniel Starkman
# PROJECT : AST1501
#
# ----------------------------------------------------------------------------
# Docstring and Metadata
"""SequentialOrbits."""
_... | 30,641 | 26.31016 | 79 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/scripts/imports.py | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : Standard Import File
# AUTHOR : Nathaniel Starkman
# PROJECT : Pal-5-in-Gaia-DR2
#
# ----------------------------------------------------------------------------
# Docstring and MetaData
"""Standard I... | 2,738 | 26.118812 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/scripts/make_ibata16_modified/make_ibata16_modified.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : make Ibata 2016 CFHT table
# AUTHOR : Nathaniel Starkman
# PROJECT : Palomar 5 in Gaia DR2
#
# ----------------------------------------------------------------------------
### Do... | 2,535 | 24.877551 | 78 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/scripts/get_gaia_window/make_gaia_query.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : make gaia query
# AUTHOR : Nathaniel Starkman
# PROJECT : Palomar 5 in Gaia DR2
#
# ----------------------------------------------------------------------------
### Docstring and... | 13,824 | 31.151163 | 89 | py |
Pal-5-in-Gaia-DR2 | Pal-5-in-Gaia-DR2-master/scripts/get_gaia_window/2019-6-11/do_query_script.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
#
# TITLE : make gaia query
# AUTHOR : Nathaniel Starkman
# PROJECT : Palomar 5 in Gaia DR2
#
# ----------------------------------------------------------------------------
### Docstring and... | 5,170 | 28.890173 | 78 | py |
irbl | irbl-master/src/main.py | import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
from sklearn import datasets
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import os
from sklearn.calib... | 67,075 | 35.673592 | 199 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/weka_evaluation/average_result.py | import argparse
import os
import pandas as pd
import glob
import re
import numpy as np
import matplotlib.pyplot as plt
from os.path import basename
required_columns = ['Key_Dataset', 'Percent_correct', 'Kappa_statistic', 'Mean_absolute_error', 'Root_mean_squared_error',
'Relative_absolute_error',... | 9,251 | 38.370213 | 132 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/dataset_processing/merge_files.py | import sys
import argparse
import csv
import pandas as pd
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--folder', type=str, required=False, default='all', help='set the foldername of the dataset')
parser.add_argument('-k', '--k_fold', type=int, required=False, defau... | 6,274 | 67.956044 | 217 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/dataset_processing/feature_selection.py | import os
import argparse
from math import ceil
import pandas as pd
import csv
import numpy as np
import random
import scipy
from sklearn.model_selection import KFold, RepeatedKFold, StratifiedKFold
from sklearn.preprocessing import MinMaxScaler
from rfpimp import permutation_importances, dropcol_importances, oob_class... | 38,354 | 51.903448 | 139 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/embedding.py | from sentence_transformers import SentenceTransformer, util
from numpy import add
from torch import Tensor
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
def get_model(name):
""" Loads the SentenceTransformer for the specific model. If the model is not stored it will be dow... | 5,370 | 42.314516 | 125 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/main.py | import os
import files
import sys
import pre_processor
import client
def start_nlp():
"""" Start stanza and corenlp server to have a preload.
"""
try:
sta = pre_processor.start_stanza('en', 'tokenize,mwt,pos,lemma,ner')
cli = client.init_client()
client.start_client(cli)
re... | 1,693 | 29.25 | 117 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/SortedCollection.py | from bisect import bisect_left, bisect_right
# This file was suggested in https://github.com/pymupdf/PyMuPDF/wiki/How-to-extract-text-in-natural-reading-order-(up2down,-left2right)
# Downloaded from https://code.activestate.com/recipes/577197-sortedcollection/
class SortedCollection(object):
'''Sequence sorted by ... | 11,327 | 35.076433 | 135 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/pre_processor.py | import stanza
import srt
import re
def init_stanza():
""" Initialise stanza for the first time (downloads the important data)
"""
stanza.download('en')
def start_stanza(lang, processors):
""" Starts stanza to use it later
:param lang: The language which stanza should process
:param processor... | 7,480 | 37.761658 | 120 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/tenses.py |
class Tenses:
""" Class that calculate time tense specific features
"""
def __init__(self):
""" Initialise class-object with default values
"""
# Present
self.sim_pres = 0 # Simple Present
self.pres_prog = 0 # Present Progressive (includes going-to future because ... | 29,322 | 44.74571 | 120 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/readability.py | import math
def flesch_reading_ease(total_words, total_sentences, total_syllables):
""" Calculates the value of the flesch reading ease index
:param total_words: amount of words in the text
:param total_sentences: amount of sentences in the text
:param total_syllables: amount of syllables in the text
... | 5,523 | 37.096552 | 106 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/client.py | import os
from stanza import install_corenlp
from stanza.server import CoreNLPClient
def install():
""" Installs the files for corenlp if they do not exist
"""
if not(os.path.isdir("./corenlp")):
install_corenlp(dir="./corenlp/")
def init_client():
""" Initialise the client
:return: clie... | 1,322 | 25.46 | 91 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/processor.py | import re
import syllapy
import CompoundWordSplitter
import pre_processor
import readability
import tenses
import csv
def count_syllables(csv_file, word):
""" Counts syllables from a word. The algorithm checks a list if it contains the word or not. If it contains the
word then the amount of syllables is ... | 53,380 | 46.789615 | 121 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/files.py | import os
import sys
import csv
import fitz
import processor
import client
import embedding
import re
import scipy
import numpy
import torch
from operator import itemgetter
from SortedCollection import SortedCollection
def load_stop_words(path):
""" Loads stopwords of the stopwords.txt file to use them later
... | 34,651 | 50.642325 | 119 | py |
mooc_knowledge_gain | mooc_knowledge_gain-main/feature_extraction/CompoundWordSplitter.py | # from Github : https://github.com/GokulVSD/FOGIndex
import enchant,sys
# requires PyEnchant library
# to be able to support Python 2 & 3
if sys.version_info[0] > 2:
unicode = str
def __concat(object1, object2):
if isinstance(object1, str) or isinstance(object1, unicode):
object1 = [object1]
if... | 1,256 | 18.338462 | 77 | py |
GoogleScraper | GoogleScraper-master/setup.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
from setuptools import setup
version = re.search(
"^__version__\s*=\s*'(.*)'",
open('GoogleScraper/version.py').read(),
re.M).group(1)
requirements = [r for r in open('requirements.txt', 'r').read().split('\n') if r]
# https://dustingram.com/artic... | 1,016 | 32.9 | 154 | py |
GoogleScraper | GoogleScraper-master/run.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Convenience wrapper for running GoogleScrapper directly from source tree."""
from GoogleScraper.core import main
if __name__ == '__main__':
main()
| 204 | 19.5 | 79 | py |
GoogleScraper | GoogleScraper-master/conf.py | from recommonmark.parser import CommonMarkParser
source_parsers = {
'.md': CommonMarkParser,
}
source_suffix = ['.rst', '.md']
| 133 | 15.75 | 48 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/search_engine_parameters.py | """
Contains all parameters and sources/information about the parameters of the supported search engines.
All values set to None, are NOT INCLUDED in the GET request! Everything else (also the empty string), is included in the request
"""
"""Google search params
Some good stuff:
http://www.blueglass.com/blog/goo... | 19,628 | 48.195489 | 128 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/__main__.py | # -*- coding: utf-8 -*-
from .core import main
"""
This file is executed by the toolchain and used as a entry point.
"""
# Call the main function of GoogleScraper.
main(return_results=False)
| 195 | 15.333333 | 65 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/output_converter.py | # -*- coding: utf-8 -*-
import csv
import sys
import json
import pprint
import logging
from GoogleScraper.database import Link, SERP
"""Stores SERP results in the appropriate output format.
Streamline process, one serp object at the time, because GoogleScraper works incrementally.
Furthermore we cannot accumulate al... | 4,293 | 29.239437 | 123 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/core.py | # -*- coding: utf-8 -*-
from __future__ import print_function
import threading
import datetime
import sys
import hashlib
import os
import queue
from GoogleScraper.log import setup_logger
from GoogleScraper.commandline import get_command_line
from GoogleScraper.database import ScraperSearch, SERP, Link, get_session, fi... | 18,163 | 37 | 155 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/scraping.py | # -*- coding: utf-8 -*-
import datetime
import random
import time
import os
import abc
import math
from GoogleScraper.proxies import Proxy
from GoogleScraper.database import db_Proxy
from GoogleScraper.output_converter import store_serp_result
from GoogleScraper.parsing import get_parser_by_search_engine, parse_serp
... | 17,276 | 33.211881 | 128 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/proxies.py | # -*- coding: utf-8 -*-
from collections import namedtuple
import os
import pymysql
import re
from GoogleScraper import database
import logging
Proxy = namedtuple('Proxy', 'proto, host, port, username, password')
logger = logging.getLogger(__name__)
def parse_proxy_file(fname):
"""Parses a proxy file
The f... | 4,396 | 33.351563 | 120 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/socks.py | """
SocksiPy - Python SOCKS module.
Version 1.5.0
Copyright 2006 Dan-Haim. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
... | 26,802 | 38.071429 | 109 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/utils.py | # -*- coding: utf-8 -*-
from itertools import zip_longest
import re
import requests
import os
def grouper(iterable, n, fillvalue=None):
"""Collect data into fixed-length chunks or blocks.
>>> grouper('ABCDEFG', 3, 'x')
[['A', 'B', 'C'], ['D', 'E', 'F'], ['G', 'x', 'x']]
Args:
iterable: An i... | 2,442 | 24.715789 | 108 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/user_agents.py | # -*- coding: utf-8 -*-
import random
# Several different User-Agents to diversify the requests.
# Keep the User-Agents updated. Last update: 13th November 2014
# Get them here: http://techblog.willshouse.com/2012/01/03/most-common-user-agents/
user_agents = ['Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/53... | 8,746 | 89.175258 | 147 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/parsing-new-version.py | # -*- coding: utf-8 -*-
import sys
import os
import re
import lxml.html
from lxml.html.clean import Cleaner
from urllib.parse import unquote
import pprint
import logging
from cssselect import HTMLTranslator
logger = logging.getLogger(__name__)
class InvalidSearchTypeException(Exception):
pass
class UnknowUrlE... | 38,678 | 34.355576 | 151 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/log.py | # -*- coding: utf-8 -*-
import sys
import logging
"""
Loggers are created at the top of modules. Therefore each code may access
a logger. But there is a fundamental problem to this approach:
The configuration that determines the state of GoogleScraper may come from various
sources and is parsed only at runtime in th... | 1,202 | 30.657895 | 112 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/config.py | # -*- coding: utf-8 -*-
import GoogleScraper.scrape_config
import inspect
import os
try:
# SourceFileLoader is the recommended way in 3.3+
from importlib.machinery import SourceFileLoader
def load_source(name, path):
return SourceFileLoader(name, path).load_module()
except ImportError:
# but ... | 2,194 | 33.84127 | 104 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/version.py | __version__ = '0.2.5'
| 22 | 10.5 | 21 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/http_mode.py | # -*- coding: utf-8 -*-
import threading
import json
import datetime
import socket
from urllib.parse import urlencode
import GoogleScraper.socks as socks
from GoogleScraper.scraping import SearchEngineScrape, get_base_search_url_by_search_engine
from GoogleScraper.parsing import get_parser_by_search_engine
from Googl... | 10,723 | 33.931596 | 125 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/scrape_jobs.py | # -*- coding: utf-8 -*-
import logging
logger = logging.getLogger(__name__)
"""
The core logic of GoogleScraper is handled here.
By default, every keyword is scraped on all given search engines for the supplied
number of pages.
Example:
keywords = ('one', 'two')
search_eninges = ('google, 'yandex')
num_pages = 5
... | 2,205 | 26.924051 | 94 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/commandline.py | # -*- coding: utf-8 -*-
import argparse
from GoogleScraper.version import __version__
def get_command_line(only_print_help=False):
"""
Parse command line arguments when GoogleScraper is used as a CLI application.
Returns:
The configuration as a dictionary that determines the behaviour of the app... | 8,247 | 57.914286 | 138 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/database.py | # -*- coding: utf-8 -*-
"""
The database schema of GoogleScraper.
There are four entities:
ScraperSearch: Represents a call to GoogleScraper. A search job.
SearchEngineResultsPage: Represents a SERP result page of a search_engine
Link: Represents a LINK on a SERP
Proxy: Stores all proxies and their s... | 9,479 | 31.027027 | 138 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/parsing.py | # -*- coding: utf-8 -*-
import sys
import os
import re
import lxml.html
from lxml.html.clean import Cleaner
from urllib.parse import unquote
import pprint
from GoogleScraper.database import SearchEngineResultsPage
import logging
from cssselect import HTMLTranslator
logger = logging.getLogger(__name__)
class Invalid... | 39,004 | 34.203069 | 153 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/__init__.py | # -*- coding: utf-8 -*-
"""
I switched my motto; instead of saying "fuck tomorrow"
That buck that bought a bottle could've struck the lotto.
"""
__author__ = 'Nikolai Tschacher'
__updated__ = '18.08.2018' # day.month.year
__home__ = 'incolumitas.com'
from GoogleScraper.proxies import Proxy
from GoogleScraper.config... | 595 | 23.833333 | 78 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/async_mode.py | import asyncio
import aiohttp
import datetime
from urllib.parse import urlencode
from GoogleScraper.parsing import get_parser_by_search_engine, parse_serp
from GoogleScraper.http_mode import get_GET_params_for_search_engine, headers
from GoogleScraper.scraping import get_base_search_url_by_search_engine
from GoogleScra... | 5,254 | 33.123377 | 134 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/scrape_config.py | # -*- coding: utf-8 -*-
"""
This is the basic GoogleScraper configuration file.
All options are basic Python data types. You may use all of Python's language
capabilities to specify settings in this file.
"""
"""
[OUTPUT]
Settings which control how GoogleScraper represents it's results
and handles output.
"""
# How... | 12,119 | 30.480519 | 117 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/selenium_mode.py | # -*- coding: utf-8 -*-
import tempfile
import threading
from urllib.parse import quote
import json
import datetime
import time
import math
import random
import re
import sys
import os
try:
from selenium import webdriver
from selenium.common.exceptions import TimeoutException, WebDriverException
from sele... | 36,591 | 37.845011 | 147 | py |
GoogleScraper | GoogleScraper-master/GoogleScraper/caching.py | # -*- coding: utf-8 -*-
import os
import time
import hashlib
import gzip
import bz2
import re
from sqlalchemy.orm.exc import NoResultFound
from GoogleScraper.database import SearchEngineResultsPage
from GoogleScraper.parsing import parse_serp
from GoogleScraper.output_converter import store_serp_result
import logging
... | 20,538 | 37.035185 | 138 | py |
GoogleScraper | GoogleScraper-master/Tests/integration_tests.py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import unittest
from GoogleScraper import scrape_with_config
from GoogleScraper.parsing import get_parser_by_search_engine
from GoogleScraper.config import get_config
from collections import Counter
config = get_config()
base = os.path.dirname(os.path.realpath(__fi... | 17,647 | 42.900498 | 174 | py |
GoogleScraper | GoogleScraper-master/Tests/testing_utils.py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import random
from GoogleScraper.utils import get_some_words
def assert_atleast_delta_percent_of_items(data, attr_name, delta=0.9):
"""Checks that at least delta percent of the results are not None.
"""
n=k=0
for obj in data:
n+=1
if not getattr(ob... | 714 | 20.666667 | 70 | py |
GoogleScraper | GoogleScraper-master/Tests/functional_tests.py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
These functional tests cannot cover the whole functionality of GoogleScraper.
But it is tried to cover at least the most common use cases with GoogleScraper, such that
a basic functionality is shown to be correct. The functional tests are run on git hook pre-push time,
s... | 29,467 | 44.196319 | 131 | py |
GoogleScraper | GoogleScraper-master/docs/source/conf.py | # -*- coding: utf-8 -*-
#
# 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 setup ------------------------------------------------------------... | 5,975 | 29.181818 | 79 | py |
GoogleScraper | GoogleScraper-master/Examples/headlesschrome.py | from selenium import webdriver
chromedriver = '/usr/bin/chromedriver'
options = webdriver.ChromeOptions()
options.add_argument('headless')
options.add_argument('window-size=1200x600') # optional
#browser = webdriver.Chrome(executable_path=chromedriver, chrome_options=options)
browser = webdriver.Chrome(chrome_option... | 469 | 26.647059 | 81 | py |
GoogleScraper | GoogleScraper-master/Examples/image_search.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
# simulating a image search for all search engines that support image search.
# Then download all found images :)
target_directory = 'images/'
# See in the config.cfg file for possible values
config = {
... | 2,278 | 23.771739 | 87 | py |
GoogleScraper | GoogleScraper-master/Examples/keywords.py | """
GoogleScraper will scrape the jobs according to the dictionaries below.
Passing the scrape_jobs to GoogleScraper is simple:
GoogleScraper --keyword-file keywords.py
"""
scrape_jobs = [
{
'query': 'hello world',
'search_engine': 'google', # on which search engines this keyword should be searc... | 836 | 24.363636 | 94 | py |
GoogleScraper | GoogleScraper-master/Examples/http_mode_example.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
keywords = [
'one ',
'two',
'three'
]
# See in the config.cfg file for possible values
config = {
'use_own_ip': 'True',
'keywords': keywords,
'search_engines': ['bing',],
'num_pa... | 577 | 18.266667 | 63 | py |
GoogleScraper | GoogleScraper-master/Examples/finding_plagiarized_content.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
text = """
Python is a multi-paradigm programming language: object-oriented programming and structured programming are fully supported, and there are a number of language features which support functional p... | 4,894 | 52.791209 | 489 | py |
GoogleScraper | GoogleScraper-master/Examples/async_mode_example.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
from GoogleScraper.utils import get_some_words
keywords = get_some_words(10)
with open('keywords.txt', 'wt') as f:
for word in keywords:
f.write(word + '\n')
# See in the config.cfg file for pos... | 808 | 23.515152 | 63 | py |
GoogleScraper | GoogleScraper-master/Examples/headless-firefox.py | from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
binary = FirefoxBinary('/home/nikolai/ff/firefox/firefox')
options = Options()
options.set_headless(headless=True)
driver = webdriver.Firefox(firefox_binary=binary,... | 478 | 33.214286 | 70 | py |
GoogleScraper | GoogleScraper-master/Examples/basic.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
# See in the config.cfg file for possible values
config = {
'use_own_ip': True,
'keyword': 'Let\'s go bubbles!',
'search_engines': ['yandex', 'bing'],
'num_pages_for_keyword': 1,
'scrape_... | 786 | 22.147059 | 63 | py |
GoogleScraper | GoogleScraper-master/Examples/basic_2_pages.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
# See in the config.cfg file for possible values
config = {
'use_own_ip': True,
'keyword': 'reddit',
'search_engines': ['bing',],
'num_pages_for_keyword': 2,
'scrape_method': 'selenium',
... | 741 | 21.484848 | 63 | py |
GoogleScraper | GoogleScraper-master/Examples/selenium_mode_example.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from GoogleScraper import scrape_with_config, GoogleSearchError
keywords = [
'alpha ',
'beta',
'yankee'
]
# See in the config.cfg file for possible values
config = {
'use_own_ip': True,
'keywords': keywords,
'search_engines': ['baidu', 'duckduckg... | 601 | 19.066667 | 63 | py |
GoogleScraper | GoogleScraper-master/Examples/normal-chrome.py | import time
from selenium import webdriver
from selenium.common.exceptions import TimeoutException, WebDriverException, ElementNotVisibleException, NoSuchElementException
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
f... | 2,227 | 33.8125 | 127 | py |
crnn-pytorch | crnn-pytorch-master/alphabets.py | alphabet = """的
是
不
我
一
有
大
在
人
了
中
到
資
要
可
以
這
個
你
會
好
為
上
來
就
學
交
也
用
能
如
文
時
沒
說
他
看
提
那
問
生
過
下
請
天
們
所
多
麼
小
想
得
之
還
電
出
工
對
都
機
自
後
子
而
訊
站
去
心
只
家
知
國
台
很
信
成
章
何
同
道
地
發
法
無
然
但
嗎
當
於
本
現
年
前
真
最
和
新
因
果
定
意
情
點
題
其
事
方
清
科
樣
些
吧
三
此
位
理
行
作
經
者
什
謝
名
日
正
華
話
開
實
再
城
愛
與
二
動
比
高
面
又
車
力
或
種
像
應
女
教
分
手
打
已
次
長
... | 2,017 | 1.015984 | 15 | py |
crnn-pytorch | crnn-pytorch-master/utils.py | #!/usr/bin/python
# encoding: utf-8
import torch
import torch.nn as nn
from torch.autograd import Variable
import collections
class strLabelConverter(object):
"""Convert between str and label.
NOTE:
Insert `blank` to the alphabet for CTC.
Args:
alphabet (str): set of the possible charac... | 4,860 | 28.107784 | 136 | py |
crnn-pytorch | crnn-pytorch-master/dataset.py | #!/usr/bin/python
# encoding: utf-8
import random
import torch
from torch.utils.data import Dataset
from torch.utils.data import sampler
import torchvision.transforms as transforms
import lmdb
import six
import sys
from PIL import Image
import numpy as np
class lmdbDataset(Dataset):
def __init__(self, root=None... | 4,008 | 28.262774 | 78 | py |
crnn-pytorch | crnn-pytorch-master/demo.py | import torch
from torch.autograd import Variable
import utils
import dataset
from PIL import Image
import models.crnn as crnn
import params
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-m', '--model_path', type = str, required = True, help = 'crnn model path')
parser.add_argument('-i', '--i... | 1,455 | 27.54902 | 96 | py |
crnn-pytorch | crnn-pytorch-master/params.py | import alphabets
# about data and net
alphabet = alphabets.alphabet
keep_ratio = False # whether to keep ratio for image resize
manualSeed = 1234 # reproduce experiemnt
random_sample = True # whether to sample the dataset with random sampler
imgH = 32 # the height of the input image to network
imgW = 100 # the width o... | 1,368 | 38.114286 | 78 | py |
crnn-pytorch | crnn-pytorch-master/train.py | from __future__ import print_function
from __future__ import division
import argparse
import random
import torch
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
from torch.autograd import Variable
import numpy as np
# from warpctc_pytorch import CTCLoss
from torch.nn import CTC... | 8,227 | 29.587361 | 133 | py |
crnn-pytorch | crnn-pytorch-master/models/crnn.py | import torch.nn as nn
import params
import torch.nn.functional as F
class BidirectionalLSTM(nn.Module):
def __init__(self, nIn, nHidden, nOut):
super(BidirectionalLSTM, self).__init__()
self.rnn = nn.LSTM(nIn, nHidden, bidirectional=True)
self.embedding = nn.Linear(nHidden * 2, nOut)
... | 2,865 | 30.494505 | 78 | py |
crnn-pytorch | crnn-pytorch-master/models/__init__.py | 0 | 0 | 0 | py | |
crnn-pytorch | crnn-pytorch-master/tool/convert_t7.py | import torchfile
import argparse
import torch
from torch.nn.parameter import Parameter
import numpy as np
import models.crnn as crnn
layer_map = {
'SpatialConvolution': 'Conv2d',
'SpatialBatchNormalization': 'BatchNorm2d',
'ReLU': 'ReLU',
'SpatialMaxPooling': 'MaxPool2d',
'SpatialAveragePooling': ... | 5,075 | 29.214286 | 76 | py |
crnn-pytorch | crnn-pytorch-master/tool/create_dataset.py | import os
import lmdb
import cv2
import numpy as np
import argparse
import shutil
import sys
def checkImageIsValid(imageBin):
if imageBin is None:
return False
try:
imageBuf = np.fromstring(imageBin, dtype=np.uint8)
img = cv2.imdecode(imageBuf, cv2.IMREAD_GRAYSCALE)
imgH, i... | 4,645 | 32.185714 | 108 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/parser.py |
import os
import torch
import argparse
def parse_arguments():
parser = argparse.ArgumentParser(description="Benchmarking Visual Geolocalization",
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# Training parameters
parser.add_argument("--train_batch_size", ty... | 9,823 | 70.188406 | 142 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/test.py |
import faiss
import torch
import logging
import numpy as np
from tqdm import tqdm
from torch.utils.data import DataLoader
from torch.utils.data.dataset import Subset
def test_efficient_ram_usage(args, eval_ds, model, test_method="hard_resize"):
"""This function gives the same output as test(), but uses much less... | 14,018 | 53.761719 | 121 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/commons.py |
"""
This file contains some functions and classes which can be useful in very diverse projects.
"""
import os
import sys
import torch
import random
import logging
import traceback
import numpy as np
from os.path import join
def make_deterministic(seed=0):
"""Make results deterministic. If seed == -1, do not mak... | 2,811 | 36.493333 | 91 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/util.py |
import re
import torch
import shutil
import logging
import torchscan
import numpy as np
from collections import OrderedDict
from os.path import join
from sklearn.decomposition import PCA
import datasets_ws
def get_flops(model, input_shape=(480, 640)):
"""Return the FLOPs as a string, such as '22.33 GFLOPs'"""
... | 3,201 | 40.584416 | 102 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/datasets_ws.py |
import os
import torch
import faiss
import logging
import numpy as np
from glob import glob
from tqdm import tqdm
from PIL import Image
from os.path import join
import torch.utils.data as data
import torchvision.transforms as T
from torch.utils.data.dataset import Subset
from sklearn.neighbors import NearestNeighbors
... | 23,388 | 56.750617 | 138 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/eval.py |
"""
With this script you can evaluate checkpoints or test models from two popular
landmark retrieval github repos.
The first is https://github.com/naver/deep-image-retrieval from Naver labs,
provides ResNet-50 and ResNet-101 trained with AP on Google Landmarks 18 clean.
$ python eval.py --off_the_shelf=naver --l2=none... | 5,209 | 46.363636 | 146 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/train.py |
import math
import torch
import logging
import numpy as np
from tqdm import tqdm
import torch.nn as nn
import multiprocessing
from os.path import join
from datetime import datetime
import torchvision.transforms as transforms
from torch.utils.data.dataloader import DataLoader
import util
import test
import parser
impo... | 10,186 | 45.729358 | 133 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/model/aggregation.py |
import math
import torch
import faiss
import logging
import numpy as np
from tqdm import tqdm
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
from torch.utils.data import DataLoader, SubsetRandomSampler
import model.functional as LF
import model.normalization as normaliz... | 10,963 | 41.007663 | 132 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/model/network.py |
import os
import torch
import logging
import torchvision
from torch import nn
from os.path import join
from transformers import ViTModel
from google_drive_downloader import GoogleDriveDownloader as gdd
from model.cct import cct_14_7x2_384
from model.aggregation import Flatten
from model.normalization import L2Norm
im... | 9,160 | 43.687805 | 137 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/model/functional.py |
import math
import torch
import torch.nn.functional as F
def sare_ind(query, positive, negative):
'''all 3 inputs are supposed to be shape 1xn_features'''
dist_pos = ((query - positive)**2).sum(1)
dist_neg = ((query - negative)**2).sum(1)
dist = - torch.cat((dist_pos, dist_neg))
dist = F.log_... | 3,170 | 36.305882 | 105 | py |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/model/__init__.py | 0 | 0 | 0 | py | |
deep-visual-geo-localization-benchmark | deep-visual-geo-localization-benchmark-main/model/normalization.py |
import torch.nn as nn
import torch.nn.functional as F
class L2Norm(nn.Module):
def __init__(self, dim=1):
super().__init__()
self.dim = dim
def forward(self, x):
return F.normalize(x, p=2, dim=self.dim)
| 238 | 18.916667 | 48 | py |
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