text stringlengths 0 1.05M | meta dict |
|---|---|
"""Attempts to figure out what version of things we're using in
playdoh-lib. This is made exceedingly difficult because of the
following things:
1. We install with pip to lib/python/, but nix the .egg-info files so
we have no clue what we installed unless the package also has the
version information tucked away ... | {
"repo_name": "willkg/victor",
"path": "victor/cmdline.py",
"copies": "1",
"size": "6760",
"license": "bsd-3-clause",
"hash": -5004679920419993000,
"line_mean": 27.5232067511,
"line_max": 79,
"alpha_frac": 0.5806213018,
"autogenerated": false,
"ratio": 3.86949055523755,
"config_test": false,
... |
# attempts to locate Space Engineers and git, it will try common paths if build.ini is incorrect
if (not os.path.exists(GitExe)):
GitExe = r"C:\Program Files (x86)\Git\bin\git.exe"
if (os.path.exists(GitExe)):
logging.info("Git in Program Files (x86)")
else:
GitExe = r"C:\Program Files\Git\bin\git.exe"
if (os... | {
"repo_name": "Rynchodon/ARMS",
"path": ".build/find-git.py",
"copies": "2",
"size": "2175",
"license": "cc0-1.0",
"hash": 3104833589695850500,
"line_mean": 32.4769230769,
"line_max": 103,
"alpha_frac": 0.672183908,
"autogenerated": false,
"ratio": 2.8173575129533677,
"config_test": false,
"h... |
""" Attempts to simulate a system consisting of a tone being received by
multiple phase-shifted and amplitude scaled sensors with uncorrelated noise
at each
"""
import numpy as np
import logging
import itertools
from directionFinder_backend.signal_generator_correlation import SignalGeneratorCorrelation
class SignalGe... | {
"repo_name": "jgowans/directionFinder_backend",
"path": "directionFinder_backend/signal_generator.py",
"copies": "1",
"size": "6980",
"license": "mit",
"hash": -388002788820253760,
"line_mean": 41.303030303,
"line_max": 138,
"alpha_frac": 0.5815186246,
"autogenerated": false,
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"""Attempts to spellcheck and correct failed cd commands"""
import os
from difflib import get_close_matches
from thefuck.specific.sudo import sudo_support
from thefuck.rules import cd_mkdir
from thefuck.utils import for_app
__author__ = "mmussomele"
MAX_ALLOWED_DIFF = 0.6
def _get_sub_dirs(parent):
"""Returns ... | {
"repo_name": "levythu/thefuck",
"path": "thefuck/rules/cd_correction.py",
"copies": "1",
"size": "1678",
"license": "mit",
"hash": 4810766269784511000,
"line_mean": 30.0740740741,
"line_max": 96,
"alpha_frac": 0.6442193087,
"autogenerated": false,
"ratio": 3.6086021505376342,
"config_test": fa... |
"""Attempts to spellcheck and correct failed cd commands"""
import os
from difflib import get_close_matches
from thefuck.utils import sudo_support
from thefuck.rules import cd_mkdir
__author__ = "mmussomele"
MAX_ALLOWED_DIFF = 0.6
def _get_sub_dirs(parent):
"""Returns a list of the child directories of the giv... | {
"repo_name": "zhangzhishan/thefuck",
"path": "thefuck/rules/cd_correction.py",
"copies": "4",
"size": "1653",
"license": "mit",
"hash": 3175311209669262300,
"line_mean": 30.7884615385,
"line_max": 96,
"alpha_frac": 0.6424682396,
"autogenerated": false,
"ratio": 3.6733333333333333,
"config_test... |
"""Attempts to spellcheck and correct failed cd commands"""
import os
import six
from difflib import get_close_matches
from thefuck.specific.sudo import sudo_support
from thefuck.rules import cd_mkdir
from thefuck.utils import for_app
__author__ = "mmussomele"
MAX_ALLOWED_DIFF = 0.6
def _get_sub_dirs(parent):
... | {
"repo_name": "mlk/thefuck",
"path": "thefuck/rules/cd_correction.py",
"copies": "4",
"size": "1747",
"license": "mit",
"hash": -1179209368808488000,
"line_mean": 29.1206896552,
"line_max": 96,
"alpha_frac": 0.6382369777,
"autogenerated": false,
"ratio": 3.5799180327868854,
"config_test": false... |
"""Attempts to spellcheck and correct failed cd commands"""
import os
import six
from thefuck.specific.sudo import sudo_support
from thefuck.rules import cd_mkdir
from thefuck.utils import for_app, get_close_matches
__author__ = "mmussomele"
MAX_ALLOWED_DIFF = 0.6
def _get_sub_dirs(parent):
"""Returns a list o... | {
"repo_name": "nvbn/thefuck",
"path": "thefuck/rules/cd_correction.py",
"copies": "3",
"size": "1843",
"license": "mit",
"hash": -1145849367275746400,
"line_mean": 29.2131147541,
"line_max": 96,
"alpha_frac": 0.6169289202,
"autogenerated": false,
"ratio": 3.585603112840467,
"config_test": false... |
""" Attempt to clone https://github.com/michaeldv/awesome_print
Usage:
from awesome_print import ap
ap(object)
"""
import __builtin__
from types import *
mode = 'ansi'
def ap(*args):
for arg in args:
print format(arg)
def indent(level):
return ' ' * level
def format(obj, level = 0):
ty... | {
"repo_name": "smazhara/awesome_print",
"path": "awesome_print/awesome_print.py",
"copies": "1",
"size": "2738",
"license": "mit",
"hash": 4212010509238425600,
"line_mean": 19.5864661654,
"line_max": 73,
"alpha_frac": 0.5178962747,
"autogenerated": false,
"ratio": 3.183720930232558,
"config_tes... |
"""Attempt to determine the current user's "system" directories"""
try:
## raise ImportError
from win32com.shell import shell, shellcon
except ImportError:
shell = None
try:
## raise ImportError
import _winreg
except ImportError:
_winreg = None
import os, sys
## The registry keys where the SHGetFolder... | {
"repo_name": "alexus37/AugmentedRealityChess",
"path": "pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/OpenGLContext/browser/homedirectory.py",
"copies": "2",
"size": "2711",
"license": "mit",
"hash": 6004529105698446000,
"line_mean": 34.6842105263,
"line_max": 95,... |
# Attempt to find faces and draw rectangles around them using openCV
# Dan Kolbman
import sys, cv2
def detect( path ):
img = cv2.imread( path )
face_cascade = cv2.CascadeClassifier( 'haarcascade_frontalface_default.xml' )
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
try:
gray = cv2.cvtColor(... | {
"repo_name": "dankolbman/CleverTind",
"path": "face_detect.py",
"copies": "1",
"size": "1355",
"license": "mit",
"hash": 1808044439759640000,
"line_mean": 26.6530612245,
"line_max": 80,
"alpha_frac": 0.6184501845,
"autogenerated": false,
"ratio": 2.913978494623656,
"config_test": false,
"has... |
"""Attempt to generate templates for module reference with Sphinx
XXX - we exclude extension modules
To include extension modules, first identify them as valid in the
``_uri2path`` method, then handle them in the ``_parse_module`` script.
We get functions and classes by parsing the text of .py files.
Alternatively w... | {
"repo_name": "e-koch/pyspeckit",
"path": "docs/sphinxext/apigen.py",
"copies": "8",
"size": "15658",
"license": "mit",
"hash": -3882542394503865300,
"line_mean": 35.5841121495,
"line_max": 79,
"alpha_frac": 0.5342955678,
"autogenerated": false,
"ratio": 4.292214912280702,
"config_test": false,... |
"""Attempt to generate templates for module reference with Sphinx
XXX - we exclude extension modules
To include extension modules, first identify them as valid in the
``_uri2path`` method, then handle them in the ``_parse_module`` script.
We get functions and classes by parsing the text of .py files.
Alternatively we c... | {
"repo_name": "process-asl/process-asl",
"path": "tools/interfacedocgen.py",
"copies": "2",
"size": "18245",
"license": "bsd-3-clause",
"hash": 8976197156278363000,
"line_mean": 36.3893442623,
"line_max": 79,
"alpha_frac": 0.5348862702,
"autogenerated": false,
"ratio": 4.255889899696758,
"confi... |
""" Attempt to implement a reactive system in Python. With that I mean
a system in which signals are bound implicitly, as in Shiny.
The Signal is the core element here. It is like the Property in
HasProps. A function can easily be turned into a Signal object by
decorating it.
Other than Properties, signals have a fun... | {
"repo_name": "synmnstr/flexx",
"path": "exp/reactive.py",
"copies": "22",
"size": "9230",
"license": "bsd-2-clause",
"hash": 2199809718498553900,
"line_mean": 26.3076923077,
"line_max": 93,
"alpha_frac": 0.5511375948,
"autogenerated": false,
"ratio": 3.65689381933439,
"config_test": false,
"... |
"""Attempt to implement the Multilinear Jigsaw Puzzles as described
in Appendix A of the paper [0].
!!! ATTENTION !!!
There are several issues and this implementation is NOT working
correctly for now.
!!! ATTENTION !!!
0. Parameter Choices:
Generally the correct choice of parameters and the relation between
th... | {
"repo_name": "tum-i22/indistinguishability-obfuscation",
"path": "obfusc8/mjp.py",
"copies": "1",
"size": "8222",
"license": "apache-2.0",
"hash": 3352941483547593700,
"line_mean": 32.5632653061,
"line_max": 111,
"alpha_frac": 0.6630990027,
"autogenerated": false,
"ratio": 2.8818787241500177,
... |
"""Attempt to install all datasets into all database management systems
This module, when run, attempts to install datasets from all Retriever scripts
in the /scripts folder (except for those listed in IGNORE), for each engine in
engine_list in retriever.engines. In other words, it runs trys to install using
all possi... | {
"repo_name": "goelakash/retriever",
"path": "retriever/try_install_all.py",
"copies": "1",
"size": "3460",
"license": "mit",
"hash": 1641011411192851200,
"line_mean": 30.7431192661,
"line_max": 105,
"alpha_frac": 0.5757225434,
"autogenerated": false,
"ratio": 3.7814207650273226,
"config_test":... |
"""Attempt to make the FeedPlatform command line tools available as
a Django management subcommand.
"""
# Introducing a 2.5 dependency here so we can name our django
# command "feedplatform" (i.e. same as the top-level module).
# Unfortunately, Django names commands always after their filename.
from __future__ ... | {
"repo_name": "miracle2k/feedplatform",
"path": "feedplatform/integration/django/management/commands/feedplatform.py",
"copies": "1",
"size": "4101",
"license": "bsd-2-clause",
"hash": -2936878308026166000,
"line_mean": 36.3457943925,
"line_max": 83,
"alpha_frac": 0.6166788588,
"autogenerated": fal... |
"""Attempt to manage the disaster that is IEM symlinking"""
import os
import datetime
from pyiem.util import logger
LOG = logger()
# LINK , TARGET
PAIRS = [
["/mesonet/data/merra2", "/mnt/mesonet2/data/merra2"],
["/mesonet/nawips", "/mnt/mesonet2/gempak"],
["/mesonet/scripts", "/mnt/mesonet2/scripts"],
... | {
"repo_name": "akrherz/iem",
"path": "deployment/symlink_manager.py",
"copies": "1",
"size": "3305",
"license": "mit",
"hash": -5575315607649993000,
"line_mean": 37.8823529412,
"line_max": 68,
"alpha_frac": 0.619667171,
"autogenerated": false,
"ratio": 2.9430097951914513,
"config_test": false,
... |
"""Attempt to rerun all feature plots to see what I broke."""
import datetime
import sys
from multiprocessing import Pool
from bs4 import BeautifulSoup
import requests
import pandas as pd
from pyiem.util import get_dbconn, logger
LOG = logger()
def run_plot(uri):
"""Run this plot"""
uri = "http://iem.local/... | {
"repo_name": "akrherz/iem",
"path": "test/run_feature_autoplots.py",
"copies": "1",
"size": "2536",
"license": "mit",
"hash": 8241654511635232000,
"line_mean": 26.2688172043,
"line_max": 67,
"alpha_frac": 0.5611198738,
"autogenerated": false,
"ratio": 3.556802244039271,
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... |
"""Attempt to tabulate single qubit gates required to generate a target 2Q gate
with a product A k A."""
from functools import reduce
from typing import Tuple, Sequence, List, NamedTuple
from dataclasses import dataclass
import numpy as np
import cirq
from cirq import value
from cirq._compat import proper_repr, prope... | {
"repo_name": "quantumlib/Cirq",
"path": "cirq-google/cirq_google/optimizers/two_qubit_gates/gate_compilation.py",
"copies": "1",
"size": "19289",
"license": "apache-2.0",
"hash": 5839971014964772000,
"line_mean": 39.4255765199,
"line_max": 100,
"alpha_frac": 0.6343929886,
"autogenerated": false,
... |
# Attemp using words to paragraph : (Features) Vector averaging method
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
import gensim, re
from nltk.corpus import stopwords
train = pd.read_csv( "../data/labeledTrainData.tsv", delimiter="\t", quoting=3 )
test = pd.read_csv( "../data/testData.tsv", d... | {
"repo_name": "switchkiller/ml_imdb",
"path": "src/word2vec_vectorAveraging.py",
"copies": "1",
"size": "3350",
"license": "mit",
"hash": -629967639560238000,
"line_mean": 33.8958333333,
"line_max": 84,
"alpha_frac": 0.6919402985,
"autogenerated": false,
"ratio": 3.5828877005347595,
"config_tes... |
import time
class AttendanceManager(object):
prefillKeys = ["first_name", "last_name", "tags", "badge_icons"]
def __init__(self, cardStore, eventKey, onAttend):
self.cardStore = cardStore
self.onAttend = onAttend
self.attendKey = "attended_"+eventKey
def prefill(self, key... | {
"repo_name": "novas0x2a/devhouse",
"path": "attendance.py",
"copies": "1",
"size": "2164",
"license": "mit",
"hash": 3559714082186833400,
"line_mean": 39.0740740741,
"line_max": 73,
"alpha_frac": 0.7218114603,
"autogenerated": false,
"ratio": 3.857397504456328,
"config_test": false,
"has_no_... |
"""attendance tweaks
Revision ID: 44d9d3bf2abb
Revises: 3559c36f279d
Create Date: 2015-07-21 17:28:29.177619
"""
# revision identifiers, used by Alembic.
revision = '44d9d3bf2abb'
down_revision = '3559c36f279d'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():
... | {
"repo_name": "Code4SA/pmg-cms-2",
"path": "migrations/versions/44d9d3bf2abb_attendance_tweaks.py",
"copies": "1",
"size": "1380",
"license": "apache-2.0",
"hash": 73121187074579250,
"line_mean": 38.4285714286,
"line_max": 170,
"alpha_frac": 0.7014492754,
"autogenerated": false,
"ratio": 3.301435... |
attendees = ['Alison', 'Carolyn', 'Hannah']
for person in attendees: #for "name of variable that we're going to use as we go through this list" in "this list"
print person
#person = 'Alison', print person
#person = 'Carolyn', print person
for cow in range(5):
print cow
print '\n\n\n\n\n'
days_of_wee... | {
"repo_name": "codelikeagirlcny/python-lessons-cny",
"path": "code-exercises-etc/section_05_(loops)/ajm.loops_basic-for.20170715.py",
"copies": "1",
"size": "1246",
"license": "mit",
"hash": -5606292625204184000,
"line_mean": 14.7721518987,
"line_max": 131,
"alpha_frac": 0.5722311396,
"autogenerate... |
##attendees = ['Hannah', 'Kseniya', 'Sarah', 'Christy']
##print [0]
##print [1]
##print [2]
##
##number_of_attendees = len(attendees)
##print number_of_attendees
##
###append, add one item at a time to the end of the list
##attendees.append ('Alison')
##print attendees
##
##attendees_ages = []
##attendees_ages.append(2... | {
"repo_name": "hannahkwarren/CLaG-Sp2016",
"path": "code-exercises-etc/section_02_(strings)/HKW-Lesson2.py",
"copies": "1",
"size": "6087",
"license": "mit",
"hash": 8736106151340556000,
"line_mean": 32.8166666667,
"line_max": 120,
"alpha_frac": 0.6771808773,
"autogenerated": false,
"ratio": 3.10... |
# ATTENTION: Add a file called settings.py with appropriate settings
# as imported below.
import tweepy
from settings import consumer_key, consumer_secret, access_token, access_token_secret, hashtag
print ("Authenticating.")
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token... | {
"repo_name": "svineet/TweetCounter",
"path": "main.py",
"copies": "1",
"size": "1265",
"license": "mit",
"hash": 4483028826675521500,
"line_mean": 24.8163265306,
"line_max": 94,
"alpha_frac": 0.6134387352,
"autogenerated": false,
"ratio": 3.1944444444444446,
"config_test": false,
"has_no_key... |
"""Attention combination strategies.
This modules implements attention combination strategies for multi-encoder
scenario when we may want to combine the hidden states of the encoders in
more complicated fashion.
Currently there are two attention combination strategies flat and hierarchical
(see paper `Attention Combi... | {
"repo_name": "bastings/neuralmonkey",
"path": "neuralmonkey/encoders/encoder_wrapper.py",
"copies": "1",
"size": "18095",
"license": "bsd-3-clause",
"hash": -6862849683702879000,
"line_mean": 40.0317460317,
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"ratio": 4.2209003965... |
"""AttentionDecoderCorr takes an array of correlations and outputs attention.
This code is based on Matlab code published here:
https://github.com/sinamiran/Real-Time-Tracking-of-Selective-Auditory-Attention
Based on the work:
S. Miran, S. Akram, A. Sheikhattar, J. Z. Simon, T. Zhang, and B. Babadi,
Real-Time Trackin... | {
"repo_name": "google/telluride_decoding",
"path": "telluride_decoding/attention_decoder.py",
"copies": "1",
"size": "17663",
"license": "apache-2.0",
"hash": 5979323538553667000,
"line_mean": 38.4263392857,
"line_max": 86,
"alpha_frac": 0.6087301138,
"autogenerated": false,
"ratio": 3.1317375886... |
""" Attention Factory
Hacked together by / Copyright 2021 Ross Wightman
"""
import torch
from functools import partial
from .bottleneck_attn import BottleneckAttn
from .cbam import CbamModule, LightCbamModule
from .eca import EcaModule, CecaModule
from .gather_excite import GatherExcite
from .global_context import Gl... | {
"repo_name": "rwightman/pytorch-image-models",
"path": "timm/models/layers/create_attn.py",
"copies": "1",
"size": "3633",
"license": "apache-2.0",
"hash": -3660059667459771400,
"line_mean": 38.064516129,
"line_max": 109,
"alpha_frac": 0.6072116708,
"autogenerated": false,
"ratio": 4.10508474576... |
"""Attention mechanisms.
This module defines the interface of attention mechanisms and a few
concrete implementations. For a gentle introduction and usage examples see
the tutorial TODO.
An attention mechanism decides to what part of the input to pay attention.
It is typically used as a component of a recurrent netwo... | {
"repo_name": "nke001/attention-lvcsr",
"path": "libs/blocks/blocks/bricks/attention.py",
"copies": "1",
"size": "30120",
"license": "mit",
"hash": 5477704904373049000,
"line_mean": 38.4757536042,
"line_max": 78,
"alpha_frac": 0.6508300133,
"autogenerated": false,
"ratio": 4.386194844910441,
"c... |
# ATTENTION: The code in this file is highly EXPERIMENTAL.
# Adventurous users should note that the APIs will probably change.
"""onnx optimizer
This enables users to optimize their models.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__... | {
"repo_name": "mlperf/training_results_v0.6",
"path": "Fujitsu/benchmarks/resnet/implementations/mxnet/3rdparty/onnx-tensorrt/third_party/onnx/onnx/optimizer.py",
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"license": "apache-2.0",
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"line_mean": 28.9215686275,
"line_max": 101,
"alpha_f... |
# at terminal window, run:
# python track_uscis_rd.py <rd_process_center argument> <rd_date_start argument> <rd_date_end argument> <rd_form argument>
import re
import mechanize
from lxml import html
from bs4 import BeautifulSoup
import os
import sys
from termcolor import colored
import glob
from time import gmtime,... | {
"repo_name": "tianchuliang/my_util",
"path": "track_uscis_rd.py",
"copies": "1",
"size": "5590",
"license": "mit",
"hash": 4430383382748590000,
"line_mean": 33.9375,
"line_max": 133,
"alpha_frac": 0.6241502683,
"autogenerated": false,
"ratio": 2.7442317133038783,
"config_test": false,
"has_n... |
# at terminal window, run:
# python track_uscis_receipt_no.py <receipt_num_start> <number_of_receipts> <target_form_type>
import re
import mechanize
from lxml import html
from bs4 import BeautifulSoup
import os
import sys
from termcolor import colored
import glob
from time import gmtime, strftime
import datetime
im... | {
"repo_name": "tianchuliang/my_util",
"path": "track_uscis_receipt_no.py",
"copies": "1",
"size": "3226",
"license": "mit",
"hash": 5610696897448368000,
"line_mean": 32.6145833333,
"line_max": 160,
"alpha_frac": 0.6385616863,
"autogenerated": false,
"ratio": 2.938069216757741,
"config_test": fa... |
# At the 64-bit Anaconda prompt, "activate my-rdkit-env" first.
import sys
from rdkit import Chem
from io import StringIO
import common
class MyAromaticSmilesWriter(common.AromaticSmilesWriter):
def getoutput(self, smi):
m = Chem.MolFromSmiles(smi)
if m is None:
return ""
... | {
"repo_name": "nextmovesoftware/smilesreading",
"path": "scripts/RDKit.py",
"copies": "1",
"size": "1948",
"license": "bsd-2-clause",
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"ratio": 3.4055944055944054,
"confi... |
# at the moment, this file isn't used. All configuration parameters are located in the cralgo.py file
import operator as op
import itertools
# Initial conditions
start_time = '01-01-2017 00:00' # MM-DD-YYYY HH:MM format (military time). GMT timezone
end_time = '01-01-2018 00:00' # MM-DD-YYYY HH:MM format (m... | {
"repo_name": "Shutch/Cralgo",
"path": "cralgo/config.py",
"copies": "1",
"size": "1678",
"license": "mit",
"hash": -1884570414998841900,
"line_mean": 38.023255814,
"line_max": 102,
"alpha_frac": 0.5399284863,
"autogenerated": false,
"ratio": 2.975177304964539,
"config_test": false,
"has_no_k... |
# At the time of writing, unicurses just doesn't work on Windows (pdcurses.dll
# lookup is wrong)
# This module provides escape sequences for terminal colors
import os
_DEFAULT = b'\x1B[0m'
class _ColorMethod(object):
def __init__(self, code):
self._code = code
def __get__(self, obj, type=None):
... | {
"repo_name": "pombredanne/timyd",
"path": "timyd/console.py",
"copies": "1",
"size": "1115",
"license": "mit",
"hash": -4738208748202939000,
"line_mean": 21.7551020408,
"line_max": 78,
"alpha_frac": 0.5730941704,
"autogenerated": false,
"ratio": 3.1766381766381766,
"config_test": false,
"has... |
# At the top.
import sphinx_bootstrap_theme
# -*- 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 ---------------... | {
"repo_name": "psychrometrics/psychrolib",
"path": "docs/sphinx/conf.py",
"copies": "1",
"size": "5453",
"license": "mit",
"hash": -1123750895907104900,
"line_mean": 32.8757763975,
"line_max": 82,
"alpha_frac": 0.6464331561,
"autogenerated": false,
"ratio": 3.7374914324880053,
"config_test": fa... |
"""AtThirty URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-ba... | {
"repo_name": "AjayHao/AtThirty",
"path": "AtThirty/urls.py",
"copies": "1",
"size": "2021",
"license": "mit",
"hash": -6534309756124921000,
"line_mean": 42,
"line_max": 77,
"alpha_frac": 0.6259277585,
"autogenerated": false,
"ratio": 3.2336,
"config_test": false,
"has_no_keywords": false,
... |
# at this stage in the book we haven't actually installed matplotlib,
# comment this out if you need to
from matplotlib import pyplot as plt
##########################
# #
# FINDING KEY CONNECTORS #
# #
##########################
users = [
{ "id": 0, "name": "Hero" },... | {
"repo_name": "trenton3983/Data_Science_from_Scratch",
"path": "code-python3/introduction.py",
"copies": "6",
"size": "8194",
"license": "unlicense",
"hash": 8313053104128269000,
"line_mean": 31.3873517787,
"line_max": 87,
"alpha_frac": 0.5400292897,
"autogenerated": false,
"ratio": 3.33631921824... |
"""attic URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based... | {
"repo_name": "SkySchermer/uweclang",
"path": "django/src/attic/urls.py",
"copies": "1",
"size": "1456",
"license": "mit",
"hash": -9031290404592725000,
"line_mean": 47.5333333333,
"line_max": 119,
"alpha_frac": 0.6641483516,
"autogenerated": false,
"ratio": 3.20704845814978,
"config_test": fal... |
"""attitude constraint corrections
Revision ID: 420f9b8b9e
Revises: 162f93d4393
Create Date: 2015-06-24 16:52:02.606637
"""
# revision identifiers, used by Alembic.
revision = '420f9b8b9e'
down_revision = '162f93d4393'
branch_labels = None
depends_on = None
from alembic import op
def upgrade():
op.drop_constr... | {
"repo_name": "kkamkou/gitmostwanted.com",
"path": "migration/versions/420f9b8b9e_attitude_constraint_corrections.py",
"copies": "1",
"size": "1048",
"license": "mit",
"hash": 5627134195796560000,
"line_mean": 31.75,
"line_max": 89,
"alpha_frac": 0.6583969466,
"autogenerated": false,
"ratio": 2.9... |
''' Attitude discipline for CADRE. '''
from six.moves import range
import numpy as np
from openmdao.core.component import Component
from CADRE.kinematics import computepositionrotd, computepositionrotdjacobian
# Allow non-standard variable names for scientific calc
# pylint: disable=C0103
class Attitude_Angular(C... | {
"repo_name": "hschilling/CADRE-1",
"path": "src/CADRE/attitude.py",
"copies": "1",
"size": "22488",
"license": "apache-2.0",
"hash": -5147041392915192000,
"line_mean": 32.7657657658,
"line_max": 88,
"alpha_frac": 0.4174226254,
"autogenerated": false,
"ratio": 3.0339989206691853,
"config_test":... |
"""Attitude reconstruction example."""
import yaipopt
import numpy as np
import sympy
import sym2num
from numpy import ma
from scipy import integrate, interpolate, signal, stats
from ceacoest import kalman, sde, utils
class SymbolicModel(sde.SymbolicModel):
"""Symbolic SDE model."""
var_names = {'t', ... | {
"repo_name": "dimasad/ceacoest",
"path": "examples/attitude.py",
"copies": "2",
"size": "9068",
"license": "mit",
"hash": 4090559878153489400,
"line_mean": 32.7100371747,
"line_max": 80,
"alpha_frac": 0.4996691663,
"autogenerated": false,
"ratio": 2.6049985636311406,
"config_test": false,
"h... |
"""Attitude reconstruction of an ArduPilot Mega."""
import os
import re
import yaipopt
import numpy as np
import sympy
import sym2num
from numpy import ma
from scipy import interpolate
from ceacoest import kalman, sde, utils
class SymbolicModel(sde.SymbolicModel):
"""Symbolic SDE model."""
var_names ... | {
"repo_name": "dimasad/apm-estimation",
"path": "attitude.py",
"copies": "1",
"size": "8734",
"license": "mit",
"hash": -7044896596579060000,
"line_mean": 32.4636015326,
"line_max": 80,
"alpha_frac": 0.4965651477,
"autogenerated": false,
"ratio": 2.6362813160277696,
"config_test": false,
"has... |
"""Attitude reconstruction of an Ascention Technology trakSTAR sensor."""
import os
import yaipopt
import numpy as np
import sympy
import sym2num
from numpy import ma
from scipy import io
from ceacoest import kalman, sde, utils
class SymbolicModel(sde.SymbolicModel):
"""Symbolic SDE model."""
var_nam... | {
"repo_name": "dimasad/corujas",
"path": "pem.py",
"copies": "1",
"size": "5626",
"license": "mit",
"hash": 408456086512305660,
"line_mean": 30.2555555556,
"line_max": 78,
"alpha_frac": 0.522929257,
"autogenerated": false,
"ratio": 2.757843137254902,
"config_test": false,
"has_no_keywords": f... |
"""A Ttk Notebook with close buttons.
Based on an example by patthoyts, http://paste.tclers.tk/896
"""
import datetime
import os
import Tkinter as tk
import ttk
import os.path
from tkFileDialog import askopenfilename
import tkSimpleDialog
import configuration
import pcwg_tool
import Analysis
from gui.utils import *
im... | {
"repo_name": "peterdougstuart/PCWG",
"path": "test-gui/pcwg_tool_reborn.py",
"copies": "3",
"size": "19571",
"license": "mit",
"hash": -428638948834878500,
"line_mean": 30.8227642276,
"line_max": 137,
"alpha_frac": 0.5853558837,
"autogenerated": false,
"ratio": 3.7832978929054706,
"config_test... |
"""A Ttk Notebook with close buttons.
Based on an example by patthoyts, http://paste.tclers.tk/896
"""
import os
import Tkinter as tk
import ttk
import os.path
from tkFileDialog import *
import tkMessageBox
import tkSimpleDialog
#http://effbot.org/tkbook/menu.htm
class Analysis:
def __init__(self, fileName):
... | {
"repo_name": "lcameron05/PCWG",
"path": "test-gui/closable_Tab_with_menu.py",
"copies": "3",
"size": "12573",
"license": "mit",
"hash": -301020007839592400,
"line_mean": 26.7571743929,
"line_max": 132,
"alpha_frac": 0.5938121371,
"autogenerated": false,
"ratio": 3.5912596401028276,
"config_tes... |
"""A Ttk Notebook with close buttons.
Based on an example by patthoyts, http://paste.tclers.tk/896
"""
import os
import Tkinter
import ttk
root = Tkinter.Tk()
imgdir = os.path.join(os.path.dirname(__file__), 'img')
i1 = Tkinter.PhotoImage("img_close", file=os.path.join(imgdir, 'close.gif'))
i2 = Tkinter.PhotoImage("... | {
"repo_name": "dexterx17/nodoSocket",
"path": "clients/Python-2.7.6/Demo/tkinter/ttk/notebook_closebtn.py",
"copies": "10",
"size": "2527",
"license": "mit",
"hash": -2158715972527956000,
"line_mean": 31.3974358974,
"line_max": 79,
"alpha_frac": 0.610605461,
"autogenerated": false,
"ratio": 3.260... |
from Behaviour import Behaviour
from lwmath.Vector import Vector
class Attraction(Behaviour):
def __init__(self, radius=1000, strength=100.0):
self.target = Vector()
self.radius = radius
self.strength = strength
self._delta = Vector()
self.setRadius(self.radius)
... | {
"repo_name": "gregroper/Pycipia",
"path": "behaviour/Attraction.py",
"copies": "1",
"size": "1041",
"license": "mit",
"hash": -9118255832838071000,
"line_mean": 28.7428571429,
"line_max": 66,
"alpha_frac": 0.6013448607,
"autogenerated": false,
"ratio": 3.9283018867924526,
"config_test": false,... |
# Attract mode Scriptlet for STTNG
from mpf.system.scriptlet import Scriptlet
from mpf.system.show_controller import Playlist
class Attract(Scriptlet):
def on_load(self):
self.machine.events.add_handler('machineflow_Attract_start', self.start)
self.machine.events.add_handler('machineflow_Attract... | {
"repo_name": "GabeKnuth/STTNG",
"path": "scriptlets/attract.py",
"copies": "1",
"size": "2312",
"license": "mit",
"hash": -3370643827637617700,
"line_mean": 38.186440678,
"line_max": 81,
"alpha_frac": 0.6388408304,
"autogenerated": false,
"ratio": 3.312320916905444,
"config_test": false,
"ha... |
ATTRIB_DATA = """
Faction|Amarr Empire|Caldari State|Gallente Federation|Minmatar Republic|Angel Cartel|Serpentis|Guristas|Sansha's Nation|Blood Raider Covenant|Outer Ring Excavations
Meta Group|T1|T2|Empire Faction|Pirate Faction|Deadspace
Profession|Combat|Mining|Industry|Exploration
Miscellaneous|Credit-Only|Monocle... | {
"repo_name": "fsufitch/eve-shipspinning",
"path": "models/default_attribs.py",
"copies": "1",
"size": "1345",
"license": "mit",
"hash": -9064605418605556000,
"line_mean": 38.5588235294,
"line_max": 165,
"alpha_frac": 0.6252788104,
"autogenerated": false,
"ratio": 3.3209876543209877,
"config_te... |
#attribute 12dicts appropriately
#make dictionary loading choice
class WordList:
'''
Provides subsets of words from an internal dictionary of words
Internal Dictionary based on 12dicts
'''
def __init__(self):
self._words = self._load_words()
def __iter__(self):
for word in s... | {
"repo_name": "kobejohn/BookwormUtility",
"path": "wordlist.py",
"copies": "1",
"size": "2133",
"license": "mit",
"hash": -4297200148732603400,
"line_mean": 27.8243243243,
"line_max": 72,
"alpha_frac": 0.5410220347,
"autogenerated": false,
"ratio": 4.09404990403071,
"config_test": false,
"has... |
""" Attribute and method access on Python objects from C++.
Note: std::cout type operations currently crash python...
Not sure what is up with this...
"""
from __future__ import absolute_import, print_function
import scipy.weave as weave
#----------------------------------------------------------------... | {
"repo_name": "newemailjdm/scipy",
"path": "scipy/weave/examples/object.py",
"copies": "100",
"size": "1679",
"license": "bsd-3-clause",
"hash": 3781669792563363300,
"line_mean": 26.9833333333,
"line_max": 77,
"alpha_frac": 0.4377605718,
"autogenerated": false,
"ratio": 4.075242718446602,
"conf... |
""" Attribute and method access on Python objects from C++.
Note: std::cout type operations currently crash python...
Not sure what is up with this...
"""
import scipy.weave as weave
#----------------------------------------------------------------------------
# get/set attribute and call methods exampl... | {
"repo_name": "jasonmccampbell/scipy-refactor",
"path": "scipy/weave/examples/object.py",
"copies": "12",
"size": "1619",
"license": "bsd-3-clause",
"hash": -4255223307918579000,
"line_mean": 27.9107142857,
"line_max": 77,
"alpha_frac": 0.427424336,
"autogenerated": false,
"ratio": 4.078085642317... |
# Attribute basis to MRL - (do not individually apply to MTP)
# http://www.music.mcgill.ca/~jason/mumt621/papers5/fujishima_1999.pdf ?
# https://www.jstor.org/stable/pdf/40285717.pdf
# Zicheng (Brian) Gao
from MusicRoll import *
import TensionModule
import PPMBasis
import numpy as np
import pickle
import pprint
fro... | {
"repo_name": "ichaelm/MusicPrediction",
"path": "src/midibasis.py",
"copies": "1",
"size": "9495",
"license": "mit",
"hash": -2509689958420297700,
"line_mean": 30.7591973244,
"line_max": 126,
"alpha_frac": 0.6614007372,
"autogenerated": false,
"ratio": 2.909898866074165,
"config_test": false,
... |
"""Attribute implementation for _Dispatch classes.
The various listener targets for a particular event class are represented
as attributes, which refer to collections of listeners to be fired off.
These collections can exist at the class level as well as at the instance
level. An event is fired off using code like th... | {
"repo_name": "mitsuhiko/sqlalchemy",
"path": "lib/sqlalchemy/event/attr.py",
"copies": "2",
"size": "11965",
"license": "mit",
"hash": -8599331259657875000,
"line_mean": 31.7808219178,
"line_max": 77,
"alpha_frac": 0.5982448809,
"autogenerated": false,
"ratio": 4.1938310550297935,
"config_test... |
"""Attribute/instance expiration, deferral of attributes, etc."""
from sqlalchemy.testing import eq_, assert_raises, assert_raises_message
from sqlalchemy.testing.util import gc_collect
import sqlalchemy as sa
from sqlalchemy import testing
from sqlalchemy import Integer, String, ForeignKey, exc as sa_exc, FetchedValu... | {
"repo_name": "robin900/sqlalchemy",
"path": "test/orm/test_expire.py",
"copies": "2",
"size": "50809",
"license": "mit",
"hash": 3924879550385398300,
"line_mean": 32.7153284672,
"line_max": 123,
"alpha_frac": 0.5622232282,
"autogenerated": false,
"ratio": 4.016521739130435,
"config_test": true... |
"""Attribute/instance expiration, deferral of attributes, etc."""
from sqlalchemy.test.testing import eq_, assert_raises, assert_raises_message
from sqlalchemy.test.util import gc_collect
import sqlalchemy as sa
from sqlalchemy.test import testing
from sqlalchemy import Integer, String, ForeignKey, exc as sa_exc
from ... | {
"repo_name": "obeattie/sqlalchemy",
"path": "test/orm/test_expire.py",
"copies": "1",
"size": "35601",
"license": "mit",
"hash": 5676430808786989000,
"line_mean": 33.1005747126,
"line_max": 122,
"alpha_frac": 0.5752085616,
"autogenerated": false,
"ratio": 3.936421937195931,
"config_test": true... |
"""Attribute/instance expiration, deferral of attributes, etc."""
import sqlalchemy as sa
from sqlalchemy import exc as sa_exc
from sqlalchemy import FetchedValue
from sqlalchemy import ForeignKey
from sqlalchemy import inspect
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy import testing... | {
"repo_name": "sqlalchemy/sqlalchemy",
"path": "test/orm/test_expire.py",
"copies": "3",
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"hash": -8323893350973690000,
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"line_max": 79,
"alpha_frac": 0.5433239437,
"autogenerated": false,
"ratio": 4.093364960137049,
"config_test": tr... |
""" attribute.py
Provides functions for creating simple properties.
If, inside a class definition, you write:
attribute(foo=1, bar=2)
simple properties named 'foo' and 'bar' are created for this class.
Also, private instance variables '__foo' and '__bar' will be added
to instances of this class.
USEAGE:
#... | {
"repo_name": "ActiveState/code",
"path": "recipes/Python/157768_Automating_simple_property/recipe-157768.py",
"copies": "1",
"size": "3957",
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"hash": -6295531705713396000,
"line_mean": 31.975,
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"alpha_frac": 0.6194086429,
"autogenerated": false,
"ratio": 3.6706864... |
"""Attributes common to PolyData and Grid Objects."""
import collections
import logging
import warnings
from weakref import proxy
import numpy as np
import vtk
from vtk.util.numpy_support import numpy_to_vtk, vtk_to_numpy
import pyvista
from pyvista.utilities import (FieldAssociation, convert_array, get_array,
... | {
"repo_name": "akaszynski/vtkInterface",
"path": "pyvista/core/common.py",
"copies": "1",
"size": "53338",
"license": "mit",
"hash": -5678833343762723000,
"line_mean": 32.4827369743,
"line_max": 147,
"alpha_frac": 0.5759683528,
"autogenerated": false,
"ratio": 4.211781427668983,
"config_test": ... |
"""Attribute selector plugin.
Oftentimes when testing you will want to select tests based on
criteria rather then simply by filename. For example, you might want
to run all tests except for the slow ones. You can do this with the
Attribute selector plugin by setting attributes on your test methods.
Here is an example:... | {
"repo_name": "yongshengwang/hue",
"path": "build/env/lib/python2.7/site-packages/nose-0.11.3-py2.7.egg/nose/plugins/attrib.py",
"copies": "4",
"size": "9857",
"license": "apache-2.0",
"hash": -5700206111975440000,
"line_mean": 33.2256944444,
"line_max": 80,
"alpha_frac": 0.5426600386,
"autogenerat... |
"""Attributes for auto-completion."""
from typing import List
from typing import Optional
from typing import TYPE_CHECKING
from beancount.core.data import Entries
from beancount.core.data import Transaction
from beancount.core.getters import get_active_years as getters_get_active_years
from beancount.core.getters impo... | {
"repo_name": "beancount/fava",
"path": "src/fava/core/attributes.py",
"copies": "2",
"size": "3759",
"license": "mit",
"hash": -1591602126895865600,
"line_mean": 34.4622641509,
"line_max": 79,
"alpha_frac": 0.628358606,
"autogenerated": false,
"ratio": 3.7627627627627627,
"config_test": false,... |
"""Attributes for auto-completion."""
from typing import List
from beancount.core import getters
from beancount.core.data import Entries
from beancount.core.data import Transaction
from fava.core.module_base import FavaModule
from fava.util.date import FiscalYearEnd
from fava.util.ranking import ExponentialDecayRanke... | {
"repo_name": "aumayr/beancount-web",
"path": "src/fava/core/attributes.py",
"copies": "1",
"size": "3383",
"license": "mit",
"hash": -5034807808477338000,
"line_mean": 33.8762886598,
"line_max": 75,
"alpha_frac": 0.6180904523,
"autogenerated": false,
"ratio": 3.767260579064588,
"config_test": ... |
"""Defines SQLAlchemy's system of class instrumentation..
This module is usually not directly visible to user applications, but
defines a large part of the ORM's interactivity.
SQLA's instrumentation system is completely customizable, in which
case an understanding of the general mechanics of this module is helpful.
... | {
"repo_name": "obeattie/sqlalchemy",
"path": "lib/sqlalchemy/orm/attributes.py",
"copies": "1",
"size": "62613",
"license": "mit",
"hash": -5276984382939762000,
"line_mean": 35.7016412661,
"line_max": 110,
"alpha_frac": 0.6108156453,
"autogenerated": false,
"ratio": 4.519815202483216,
"config_t... |
import operator, weakref
from itertools import chain
import UserDict
from sqlalchemy import util
from sqlalchemy.orm import interfaces, collections
from sqlalchemy.orm.util import identity_equal
from sqlalchemy import exceptions
PASSIVE_NORESULT = util.symbol('PASSIVE_NORESULT')
ATTR_WAS_SET = util.symbol('ATTR_WAS_S... | {
"repo_name": "carlgao/lenga",
"path": "images/lenny64-peon/usr/share/python-support/python-sqlalchemy/sqlalchemy/orm/attributes.py",
"copies": "1",
"size": "46232",
"license": "mit",
"hash": 548088894391894660,
"line_mean": 34.7003861004,
"line_max": 226,
"alpha_frac": 0.6129304378,
"autogenerated... |
import weakref, threading, operator
from itertools import chain
import UserDict
from sqlalchemy import util
from sqlalchemy.orm import interfaces, collections
from sqlalchemy.orm.util import identity_equal
from sqlalchemy import exceptions
PASSIVE_NORESULT = object()
ATTR_WAS_SET = object()
NO_VALUE = object()
NEVER_... | {
"repo_name": "santisiri/popego",
"path": "envs/ALPHA-POPEGO/lib/python2.5/site-packages/SQLAlchemy-0.4.3-py2.5.egg/sqlalchemy/orm/attributes.py",
"copies": "1",
"size": "43456",
"license": "bsd-3-clause",
"hash": -1148292408318795000,
"line_mean": 34.5613747954,
"line_max": 244,
"alpha_frac": 0.6137... |
import weakref, threading
import UserDict
from sqlalchemy import util
from sqlalchemy.orm import interfaces, collections
from sqlalchemy.orm.mapper import class_mapper
from sqlalchemy import exceptions
PASSIVE_NORESULT = object()
ATTR_WAS_SET = object()
NO_VALUE = object()
class InstrumentedAttribute(interfaces.Pro... | {
"repo_name": "santisiri/popego",
"path": "envs/ALPHA-POPEGO/lib/python2.5/site-packages/SQLAlchemy-0.4.0-py2.5.egg/sqlalchemy/orm/attributes.py",
"copies": "1",
"size": "39285",
"license": "bsd-3-clause",
"hash": 5839364163224691000,
"line_mean": 35.0082493126,
"line_max": 167,
"alpha_frac": 0.58477... |
# Attribute --> Stat bonus/penalty mapping methods
def mgt_to_atk(mgt):
if mgt <= 4:
return "1d2"
elif mgt <= 8:
return "1d4"
elif mgt <= 10:
return "1d6"
elif mgt <= 12:
return "1d8"
elif mgt <= 14:
return "1d10"
elif mgt <= 16:
return "1d12"
elif mgt <= 18:
return "1d6+1d8"
elif mgt <= 20:
re... | {
"repo_name": "mouseroot/Otrera",
"path": "Code/attMappings.py",
"copies": "1",
"size": "2527",
"license": "apache-2.0",
"hash": 5631716055785649000,
"line_mean": 14.0416666667,
"line_max": 50,
"alpha_frac": 0.6086268302,
"autogenerated": false,
"ratio": 2.178448275862069,
"config_test": false,... |
# Attribute TIMEX2 TIMEX3
#---------------------------------
# ID None tid ('t' + ID)
# value val value
# mod mod mod
# type set type
# (only if type=set)
# freq None freq
# quant None quan... | {
"repo_name": "jo-fu/TimeLineCurator",
"path": "ternip/timex.py",
"copies": "3",
"size": "1837",
"license": "mit",
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"h... |
"""Attribute validatior"""
import flask
import ggrc.models
import ggrc.access_control
from ggrc import db
from ggrc.utils import benchmark
from ggrc.models.reflection import AttributeInfo
class AttributeValidator(object):
"""Adds methods needed for attribute name vaidation"""
# pylint: disable=too-few-public-met... | {
"repo_name": "AleksNeStu/ggrc-core",
"path": "src/ggrc/models/mixins/attributevalidator.py",
"copies": "1",
"size": "2906",
"license": "apache-2.0",
"hash": 2971662961646752000,
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"line_max": 79,
"alpha_frac": 0.6754989677,
"autogenerated": false,
"ratio": 3.99724896836... |
"""Attribute-value matrix."""
from matcher import Matcher
from pymachine.machine import Machine
from pyparsing import *
import logging
class AVM(object):
TYPE, REQUIRED, DEFAULT, VALUE = xrange(4)
RREQ, ROPT, RNEG = xrange(1, -2, -1)
def __init__(self, name):
self.name = name
self.__data ... | {
"repo_name": "Eszti/pymachine",
"path": "src/pymachine/avm.py",
"copies": "3",
"size": "4928",
"license": "mit",
"hash": 502940020530876500,
"line_mean": 31.8533333333,
"line_max": 91,
"alpha_frac": 0.5073051948,
"autogenerated": false,
"ratio": 4.059308072487644,
"config_test": false,
"has_... |
# attribution https://thihara.github.io/Django-Req-Parsing/
import time
from random import randint
import logging
from django.http import HttpResponseBadRequest
from django.utils.deprecation import MiddlewareMixin
from django.http import HttpResponse
from gwells.settings.base import get_env_variable
logger = loggin... | {
"repo_name": "bcgov/gwells",
"path": "app/backend/gwells/middleware.py",
"copies": "1",
"size": "1200",
"license": "apache-2.0",
"hash": 395920648164291260,
"line_mean": 26.2727272727,
"line_max": 59,
"alpha_frac": 0.6091666667,
"autogenerated": false,
"ratio": 4.270462633451957,
"config_test"... |
import pdb
class ENTSfeatures():
def __init__(self, subcell_info, odds_dict, proteins, domine_interactions,
protein_domain_dict, protein_gene_dict, entreztoensembl,
domain_cols, svm_subcell_cols, svm_detail_cols):
"""Object to return a feature vector for a given protein p... | {
"repo_name": "gngdb/opencast-bio",
"path": "ocbio/ents.py",
"copies": "1",
"size": "8267",
"license": "mit",
"hash": 7866148477981778000,
"line_mean": 48.502994012,
"line_max": 143,
"alpha_frac": 0.5676787226,
"autogenerated": false,
"ratio": 3.5803378085751407,
"config_test": false,
"has_no... |
# attrz, (C) 2015 Harshavardhana.
#
# 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 applicable law or agreed to in writ... | {
"repo_name": "harshavardhana/attrz",
"path": "setup.py",
"copies": "1",
"size": "1832",
"license": "apache-2.0",
"hash": 5674238181315570000,
"line_mean": 36.387755102,
"line_max": 84,
"alpha_frac": 0.673580786,
"autogenerated": false,
"ratio": 3.991285403050109,
"config_test": false,
"has_n... |
"""A TVTK interactor scene widget. This class only uses TVTK and
Traits. It does not even use any Pyface widgets. This is nice when
you want to create a raw TVTK window but with some nice funcationality
that is similar to the widgets. It is also the base class for the
toolkit specific classes since it implements th... | {
"repo_name": "liulion/mayavi",
"path": "tvtk/pyface/tvtk_scene.py",
"copies": "2",
"size": "35476",
"license": "bsd-3-clause",
"hash": -1374724449480720000,
"line_mean": 37.0235798499,
"line_max": 112,
"alpha_frac": 0.5597868982,
"autogenerated": false,
"ratio": 4.122719349215572,
"config_test... |
"""A tvtk pipeline browser.
An abstract `TreeGenerator` class defines the interface of a tree
generator. This class is responsible for generating the list of
children. Often tvtk object's children are collections of various
objects, some sequences and some simple objects. In order to provide
a unified interface to ... | {
"repo_name": "alexandreleroux/mayavi",
"path": "tvtk/pipeline/browser.py",
"copies": "3",
"size": "29233",
"license": "bsd-3-clause",
"hash": 9132788576032677000,
"line_mean": 35.54125,
"line_max": 79,
"alpha_frac": 0.502445866,
"autogenerated": false,
"ratio": 4.592772977219167,
"config_test"... |
""" A TVTK render window scene UI plugin. """
# Enthought library imports.
from envisage.api import Plugin
from traits.api import List
class SceneUIPlugin(Plugin):
""" A TVTK render window scene UI plugin.
This is the plugin that contributes actions, menus, preferences pages
etc.
"""
# Extens... | {
"repo_name": "liulion/mayavi",
"path": "tvtk/plugins/scene/ui/scene_ui_plugin.py",
"copies": "5",
"size": "1491",
"license": "bsd-3-clause",
"hash": -6605028382514468000,
"line_mean": 25.1578947368,
"line_max": 79,
"alpha_frac": 0.5761234071,
"autogenerated": false,
"ratio": 4.176470588235294,
... |
""" A TVTK scene editor. """
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005, Enthought, Inc.
# License: BSD Style.
# Enthought library imports.
from apptools.preferences.api import get_default_preferences
from tvtk.pyface.tvtk_scene import TVTKScene
from tvtk.pyface.api import DecoratedSc... | {
"repo_name": "dmsurti/mayavi",
"path": "tvtk/plugins/scene/scene_editor.py",
"copies": "2",
"size": "3381",
"license": "bsd-3-clause",
"hash": 1895553751413019100,
"line_mean": 31.5096153846,
"line_max": 79,
"alpha_frac": 0.5226264419,
"autogenerated": false,
"ratio": 4.722067039106145,
"confi... |
"""A two dimensional table having row and column headers."""
from __future__ import print_function
from __future__ import absolute_import
import copy
from .display import H2ODisplay
from .utils.shared_utils import _is_list_of_lists, can_use_pandas
class H2OTwoDimTable(object):
"""A class representing an 2D table (f... | {
"repo_name": "YzPaul3/h2o-3",
"path": "h2o-py/h2o/two_dim_table.py",
"copies": "1",
"size": "3819",
"license": "apache-2.0",
"hash": -717793542187626100,
"line_mean": 39.6382978723,
"line_max": 119,
"alpha_frac": 0.6554071747,
"autogenerated": false,
"ratio": 3.446750902527076,
"config_test": ... |
"""A two-dimension grid of numeric values, used for input and output to a stencil kernel.
"""
import numpy
import math
class StencilGrid(object):
def __init__(self, size):
self.dim = len(size)
self.data = numpy.zeros(size)
self.shape = size
self.ghost_depth = 1
self.set_g... | {
"repo_name": "mbdriscoll/asp-old",
"path": "specializers/stencil/stencil_grid.py",
"copies": "2",
"size": "2970",
"license": "bsd-3-clause",
"hash": 6041666372925128000,
"line_mean": 30.935483871,
"line_max": 102,
"alpha_frac": 0.5912457912,
"autogenerated": false,
"ratio": 3.9705882352941178,
... |
"""A two-dimension grid of numeric values, used for input and output to a stencil kernel.
"""
import numpy
import math
class StencilGrid(object):
def __init__(self, size):
self.dim = len(size)
self.data = numpy.zeros(size)
self.shape = size
self.ghost_depth = 1
self.set_... | {
"repo_name": "mbdriscoll/ctree",
"path": "examples/stencil_grid/stencil_grid.py",
"copies": "2",
"size": "3046",
"license": "bsd-2-clause",
"hash": -1937327913148585200,
"line_mean": 31.0631578947,
"line_max": 102,
"alpha_frac": 0.5912672357,
"autogenerated": false,
"ratio": 4.06675567423231,
... |
"""A two-way, reliable communication channel.
Byte arrays can be read and written; asyncio based implementation
"""
import struct
import asyncio
from abc import ABCMeta, abstractmethod
import saltchannel.util as util
from .exceptions import ComException, BadPeer
class ByteChannel(metaclass=ABCMeta):
def __init_... | {
"repo_name": "assaabloy-ppi/salt-channel-python",
"path": "saltchannel/channel.py",
"copies": "1",
"size": "2995",
"license": "mit",
"hash": -7243546980260357000,
"line_mean": 29.5714285714,
"line_max": 101,
"alpha_frac": 0.6060100167,
"autogenerated": false,
"ratio": 3.998664886515354,
"confi... |
"""A `Type` and `Op` classes to work with numpy.ndarrays symbolically."""
from __future__ import absolute_import, print_function, division
from six.moves import builtins
import sys
import warnings
import numpy
from six import integer_types
from six.moves import xrange
import numbers
import theano
from theano.compat ... | {
"repo_name": "JazzeYoung/VeryDeepAutoEncoder",
"path": "theano/tensor/basic.py",
"copies": "1",
"size": "211461",
"license": "bsd-3-clause",
"hash": -4765078037086965000,
"line_mean": 32.3482100615,
"line_max": 121,
"alpha_frac": 0.5681378599,
"autogenerated": false,
"ratio": 3.8549083948591742,... |
"""A `Type` and `Op` classes to work with numpy.ndarrays symbolically."""
from six.moves import builtins
import sys
import warnings
import numpy
from six import integer_types
from six.moves import xrange
import numbers
import theano
from theano.compat import izip
from theano.configparser import config
from theano imp... | {
"repo_name": "surgebiswas/poker",
"path": "PokerBots_2017/Johnny/theano/tensor/basic.py",
"copies": "3",
"size": "210812",
"license": "mit",
"hash": -2067400171024641000,
"line_mean": 32.3880266075,
"line_max": 121,
"alpha_frac": 0.5680653853,
"autogenerated": false,
"ratio": 3.853051377186409,
... |
"""A `Type` and `Op` classes to work with numpy.ndarrays symbolically."""
from six.moves import builtins
import sys
import warnings
import numpy
from six.moves import xrange
import numbers
import theano
from theano.compat import izip
from theano.configparser import config
from theano import gof
from theano.gof import... | {
"repo_name": "cmdunkers/DeeperMind",
"path": "PythonEnv/lib/python2.7/site-packages/theano/tensor/basic.py",
"copies": "1",
"size": "205429",
"license": "bsd-3-clause",
"hash": 8055024834781171000,
"line_mean": 32.2140662894,
"line_max": 121,
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"... |
"""A `Type` and `Op` classes to work with numpy.ndarrays symbolically."""
import sys
import warnings
import numpy
from six.moves import xrange
import numbers
import theano
from theano.compat import izip
from theano.configparser import config
from theano import gof
from theano.gof import Apply, Constant, Op, Variable... | {
"repo_name": "nke001/attention-lvcsr",
"path": "libs/Theano/theano/tensor/basic.py",
"copies": "1",
"size": "197364",
"license": "mit",
"hash": -2563540603326548500,
"line_mean": 33.6678376954,
"line_max": 121,
"alpha_frac": 0.5703927768,
"autogenerated": false,
"ratio": 3.8112194650960705,
"c... |
""" a type of plots used so frequently that I think they merit their own utility """
__author__ = 'Tom Schaul, tom@idsia.ch'
import pylab
from pylab import xlabel, ylabel, legend, plot, semilogy
from scipy import array, zeros
plotsymbols = ['-', ':', '-.']
psymbol = '-'
def plotFitnessProgession(fitdict, batc... | {
"repo_name": "daanwierstra/pybrain",
"path": "pybrain/tools/plotting/fitnessprogression.py",
"copies": "1",
"size": "3513",
"license": "bsd-3-clause",
"hash": 639755814044554500,
"line_mean": 32.1509433962,
"line_max": 91,
"alpha_frac": 0.5337318531,
"autogenerated": false,
"ratio": 4.3051470588... |
# A type representing an image - this wraps the underlying C++ image type
# exposed via fract4dmodule and provides some higher-level options around it
import os
try:
import fract4dcgmp as fract4dc
except ImportError, err:
import fract4dc
file_types = {
".jpg" : fract4dc.FILE_TYPE_JPG,
".jpeg" : fract... | {
"repo_name": "ericchill/gnofract4d",
"path": "fract4d/image.py",
"copies": "1",
"size": "5511",
"license": "bsd-3-clause",
"hash": -3900973267689917400,
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"line_max": 84,
"alpha_frac": 0.5646888042,
"autogenerated": false,
"ratio": 3.136596471257826,
"config_test": fa... |
'''Atypes is built on top of multimethods, which is in turn built on top of atypes.
To resolve this cyclic dependencies, we use Pythons type system to create
a low-functionality (cold) atypes-like systems.
The cold atypes can then be used to construct a cold multimethods as used in
the boostraping process.
... | {
"repo_name": "matthagy/Jamenson",
"path": "jamenson/runtime/atypes/cold.py",
"copies": "1",
"size": "1402",
"license": "apache-2.0",
"hash": 5627593077249432000,
"line_mean": 27.612244898,
"line_max": 92,
"alpha_frac": 0.6419400856,
"autogenerated": false,
"ratio": 3.4362745098039214,
"config_... |
a = "\u0030" #unicode for 0
b = "\u00B2" #unicode for ²
c = "10km2"
print(a.isnumeric())
print(b.isnumeric())
print(c.isnumeric())
txt = "565543"
x = txt.isnumeric()
print(x)
a = "Hello world!"
b = "hello 123"
c = "mynameisPeter"
print(a.islower())
print(b.islower())
print(c.islower())
txt = "hello world... | {
"repo_name": "antalpeti/Python-Tutorial",
"path": "src/w3s_pg_004.py",
"copies": "1",
"size": "5610",
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"autogenerated": false,
"ratio": 2.764908822079842,
"config_test": false... |
# Añadimos la raqueta de la CPU que sigue la pelota.
import pygame
from pong_v0 import SharedState
from pong_v1 import Pong_v1
import lib.colors as Color
WIDTH = 0
HEIGHT = 1
CPU_SPEED = 0.9
class CPURacket(pygame.sprite.Sprite):
def __init__(self,
color,
width,
... | {
"repo_name": "vicente-gonzalez-ruiz/YAPT",
"path": "workshops/programacion_python_ESO/pong_v2.py",
"copies": "1",
"size": "2575",
"license": "cc0-1.0",
"hash": -922051741333786000,
"line_mean": 31.175,
"line_max": 98,
"alpha_frac": 0.5516705517,
"autogenerated": false,
"ratio": 3.521203830369357... |
# Añadimos la raqueta del juador que se mueve con el ratón.
import pygame
from pong_v0 import Pong_v0
import lib.colors as Color
WIDTH = 0
HEIGHT = 1
class PlayerRacket(pygame.sprite.Sprite):
def __init__(self,
color,
width,
height,
display_siz... | {
"repo_name": "vicente-gonzalez-ruiz/YAPT",
"path": "workshops/programacion_python_ESO/pong_v1.py",
"copies": "1",
"size": "2364",
"license": "cc0-1.0",
"hash": 8445700108988196000,
"line_mean": 31.3561643836,
"line_max": 98,
"alpha_frac": 0.5419136325,
"autogenerated": false,
"ratio": 3.56797583... |
# Añadimos las raquetas del jugador y de la CPU. El jugador usa el
# ratón y la CPU sigue la pelota.
import pygame
from Pong_v0 import Pong_v0
import lib.colors as Color
import random
CPU_DIFFICULTY = 4 # 2 is more difficult than 1
class PlayerRacket(pygame.sprite.Sprite):
def __init__(self, color, width, heigh... | {
"repo_name": "vicente-gonzalez-ruiz/YAPT",
"path": "workshops/programacion_python_ESO/Pong_v1.py",
"copies": "1",
"size": "5285",
"license": "cc0-1.0",
"hash": -6917286210587525000,
"line_mean": 35.1780821918,
"line_max": 133,
"alpha_frac": 0.5721317683,
"autogenerated": false,
"ratio": 3.461336... |
# Añadimos puntuaciones.
import pygame
from Pong_v1 import Pong_v1
import lib.colors as Color
class Pong_v2(Pong_v1):
def __init__(self,
width = 800,
height = 600,
caption = "A version of Pong"):
super().__init__(width, height, caption)
... | {
"repo_name": "vicente-gonzalez-ruiz/YAPT",
"path": "workshops/programacion_python_ESO/Pong_v2.py",
"copies": "1",
"size": "1124",
"license": "cc0-1.0",
"hash": -4687826936247811000,
"line_mean": 27.7948717949,
"line_max": 69,
"alpha_frac": 0.5636687444,
"autogenerated": false,
"ratio": 3.3126843... |
# Demo of running a half-duplex protocol to a device. The device never sends
# unsolicited messages. An example is a communications device which responds
# to AT commands.
# The master sends a message to the device, which may respond with one or more
# lines of data. The master assumes that the device has sent all its... | {
"repo_name": "peterhinch/micropython-async",
"path": "v2/auart_hd.py",
"copies": "1",
"size": "3742",
"license": "mit",
"hash": -6905485254207354000,
"line_mean": 34.3018867925,
"line_max": 81,
"alpha_frac": 0.6421699626,
"autogenerated": false,
"ratio": 3.7608040201005024,
"config_test": true... |
""" Auction completion task runner """
from celery.signals import task_postrun
from datetime import datetime
from penelophant import crud, celery
from penelophant.database import db
from penelophant.models.Auction import Auction as Auction_model
from penelophant.models.Invoice import Invoice as Invoice_model
@celery.... | {
"repo_name": "kevinoconnor7/penelophant",
"path": "penelophant/tasks.py",
"copies": "1",
"size": "1245",
"license": "apache-2.0",
"hash": 2045860935003055600,
"line_mean": 29.3658536585,
"line_max": 92,
"alpha_frac": 0.7333333333,
"autogenerated": false,
"ratio": 3.619186046511628,
"config_tes... |
""" Auction helper functions """
from penelophant.models import Auction
from penelophant.models import auctions
from penelophant.database import db
from penelophant.models.Auction import Auction
from flask_restful import abort
def find_subclasses(module, clazz):
""" Return all the classes in a given module """
for... | {
"repo_name": "kevinoconnor7/penelophant",
"path": "penelophant/helpers/auction.py",
"copies": "1",
"size": "1340",
"license": "apache-2.0",
"hash": -4066881796684643000,
"line_mean": 29.4545454545,
"line_max": 66,
"alpha_frac": 0.6970149254,
"autogenerated": false,
"ratio": 3.325062034739454,
... |
import suds
# Auction's iPay API endpoint
api_base = 'https://api.auction.co.kr/ArcheSystem/IpayService.asmx?wsdl'
class AddAttributePlugin(suds.plugin.MessagePlugin):
"""Plugin to add the item_option_name attribute to the IpayServiceItems."""
def marshalled(self, context):
body = context.envelope.ge... | {
"repo_name": "narrowcast/pyipay",
"path": "pyipay/__init__.py",
"copies": "1",
"size": "5132",
"license": "mit",
"hash": 6250943742706417000,
"line_mean": 41.7666666667,
"line_max": 80,
"alpha_frac": 0.6237334373,
"autogenerated": false,
"ratio": 3.784660766961652,
"config_test": false,
"has... |
AUCTION_ITEM_CATEGORY_GENERAL = 1
AUCTION_ITEM_CATEGORY_ELECTRONICS = 2
AUCTION_ITEM_CATEGORY_MEDIA = 3
AUCTION_ITEM_CATEGORY_CLOTHING = 4
AUCTION_ITEM_CATEGORY_CHOICES = (
(AUCTION_ITEM_CATEGORY_ELECTRONICS, 'Electronics'),
(AUCTION_ITEM_CATEGORY_MEDIA, 'Media'),
(AUCTION_ITEM_CATEGORY_CLOTHING, 'Clothing... | {
"repo_name": "tarequeh/little-ebay",
"path": "lebay/apps/lebay/constants.py",
"copies": "1",
"size": "2515",
"license": "mit",
"hash": 921785972464057500,
"line_mean": 32.1052631579,
"line_max": 60,
"alpha_frac": 0.7161033797,
"autogenerated": false,
"ratio": 2.628004179728318,
"config_test": ... |
""" Auction Model """
from flask import g
from datetime import datetime
from sqlalchemy.orm.exc import NoResultFound
from sqlalchemy.orm import object_session
from penelophant.database import db
from .Model import Model
from .User import User
from .Bid import Bid
class Auction(Model):
""" Auction data representatio... | {
"repo_name": "kevinoconnor7/penelophant",
"path": "penelophant/models/Auction.py",
"copies": "1",
"size": "3339",
"license": "apache-2.0",
"hash": 3380692652957668000,
"line_mean": 24.4885496183,
"line_max": 99,
"alpha_frac": 0.6445043426,
"autogenerated": false,
"ratio": 3.4745057232049947,
"... |
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