text stringlengths 0 1.05M | meta dict |
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from functools import reduce
import operator
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.db.models import Q
from autorski.models import Joke
def __add_pages(request, jokes):
paginator = Paginator(jokes, 15)
page = request.GET.get('page')
try:
jokes = pagi... | {
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"path": "autorski/extras/prepare_view.py",
"copies": "1",
"size": "2075",
"license": "mit",
"hash": -6517948922761374000,
"line_mean": 26.68,
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"autogenerated": false,
"ratio": 3.685612788632327,
"config_test": fa... |
from functools import reduce
import operator
from django.db.models import CharField, Value as V
from django.db.models.functions import Concat
from pontoon.base.models import User, TranslatedResource
from pontoon.machinery.utils import (
get_google_translate_data,
get_translation_memory_data,
)
def get_trans... | {
"repo_name": "mozilla/pontoon",
"path": "pontoon/pretranslation/pretranslate.py",
"copies": "3",
"size": "2692",
"license": "bsd-3-clause",
"hash": -1319611961148128500,
"line_mean": 32.2345679012,
"line_max": 86,
"alpha_frac": 0.6526745914,
"autogenerated": false,
"ratio": 4.017910447761194,
... |
from functools import reduce
import os
import struct
import numpy as np
class LABEL:
NONE = 0
VESSEL = 1
BACKGROUND = 2
PADDING = 3
class IMG:
BACKGROUND = 0
VESSEL = 1
NONE = 255
is_eq = lambda a: lambda b: a == b
is_neq = lambda a: lambda b: a != b
def read_image(filename, dtype=n... | {
"repo_name": "molski/pmag",
"path": "utils.py",
"copies": "1",
"size": "4995",
"license": "mit",
"hash": 3394424271241360400,
"line_mean": 26.1467391304,
"line_max": 80,
"alpha_frac": 0.5627627628,
"autogenerated": false,
"ratio": 3.593525179856115,
"config_test": false,
"has_no_keywords": f... |
from functools import reduce
import os
import time
from collections import deque
import pickle
import warnings
import gym
import numpy as np
import tensorflow as tf
import tensorflow.contrib as tc
from mpi4py import MPI
from stable_baselines import logger
from stable_baselines.common import tf_util, OffPolicyRLModel,... | {
"repo_name": "hill-a/stable-baselines",
"path": "stable_baselines/ddpg/ddpg.py",
"copies": "1",
"size": "56965",
"license": "mit",
"hash": 8262858876242834000,
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"line_max": 120,
"alpha_frac": 0.5513052332,
"autogenerated": false,
"ratio": 4.220419352448692,
"config_t... |
from functools import reduce
import os.path as osp
import collections
import numpy as np
import gc
from rllab.envs.mujoco.mujoco_env import MujocoEnv
from rllab import spaces
from rllab.misc.overrides import overrides
from rllab.misc import logger
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as pl... | {
"repo_name": "florensacc/snn4hrl",
"path": "envs/mujoco/mujoco_env.py",
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"size": "10179",
"license": "mit",
"hash": -2979853239775346700,
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"autogenerated": false,
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"config_test": f... |
from functools import reduce
import pprint
import time
import shodan
import requests
import api_key
from google_api import query_google_api
from shodan_api import query_shodan_api
from mxtoolbox_api import query_mxtoolbox_api
from dnsbl import query_dnsbl_list
from utils import assoc_default_score, combine_scores
pp ... | {
"repo_name": "Dominionized/anonymoustre",
"path": "anonymoustre/main.py",
"copies": "1",
"size": "1300",
"license": "mit",
"hash": 4594693178398562000,
"line_mean": 25,
"line_max": 84,
"alpha_frac": 0.6746153846,
"autogenerated": false,
"ratio": 3.2338308457711444,
"config_test": false,
"has... |
from functools import reduce
import random
from string import ascii_letters, digits
import os
import teca.filesystem as tecafs
from six import next as _next
import logging
def _d(n, k):
return reduce(lambda x, y: x*y, range(n-k+1, n+1), 1)
def generateToken(list_of_tokens=None, lenght=7, alphabet=ascii_letters+di... | {
"repo_name": "alfateam123/Teca",
"path": "teca/generation.py",
"copies": "1",
"size": "2138",
"license": "mit",
"hash": 4460659562477127000,
"line_mean": 37.1785714286,
"line_max": 126,
"alpha_frac": 0.631898971,
"autogenerated": false,
"ratio": 3.5280528052805282,
"config_test": false,
"has... |
from functools import reduce
import random
# Two groups of size 10
# Rest will be whatever left remains
GROUP_SIZES = [10, 10]
def to_groups(seq, group_sizes):
groups = {}
seq_index = 1
group_index = 1
total_sizes = reduce(lambda x, y: x + y, group_sizes)
if total_sizes < len(seq):
grou... | {
"repo_name": "Hackfmi/HackFMI-4",
"path": "help-scripts/order.py",
"copies": "1",
"size": "1448",
"license": "mit",
"hash": 1874390520432823800,
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"line_max": 72,
"alpha_frac": 0.6201657459,
"autogenerated": false,
"ratio": 3.383177570093458,
"config_test": false,
"... |
from functools import reduce
import sqlite3
def insertion(cursor, table, data):
"""Insert data into table with given cursor"""
if cursor is None:
raise ValueError("Cursor is None!")
if len(data) == 0:
raise ValueError("Data is empty!")
expected_length = len(data[0])
if not all(map... | {
"repo_name": "imajunryou/RealPython2",
"path": "sql/06_sql_homework.py",
"copies": "1",
"size": "1741",
"license": "mit",
"hash": -487593062018831550,
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from functools import reduce
import string
from django.db.models import Q
from django.views import generic
from gallery import models
class BasePatientView(object):
"""Responsible for generating basic patient context data"""
def get_context_data(self) -> dict:
"""
Get context data about pat... | {
"repo_name": "cdriehuys/chmvh-website",
"path": "chmvh_website/gallery/views.py",
"copies": "1",
"size": "2902",
"license": "mit",
"hash": 4272160273594268000,
"line_mean": 25.8703703704,
"line_max": 76,
"alpha_frac": 0.6033769814,
"autogenerated": false,
"ratio": 4.116312056737589,
"config_te... |
from functools import reduce
import sys
import os
import git
import glob
from astropy.table import Table
from tqdm import tqdm
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.colors as colors
import matplotlib.ticker as ticker
import subprocess
im... | {
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"path": "busfactor/counter.py",
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"size": "5723",
"license": "mit",
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"line_max": 116,
"alpha_frac": 0.5951424078,
"autogenerated": false,
"ratio": 3.4663840096910965,
"config_test": false,
... |
from functools import reduce
import torch
from torch._utils import _accumulate
from ..function import Function, InplaceFunction
class Index(Function):
def __init__(self, index):
super(Index, self).__init__()
self.index = index
def forward(self, i):
self.input_size = i.size()
... | {
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"path": "pytorch-master/torch/autograd/_functions/tensor.py",
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"line_max": 92,
"alpha_frac": 0.589174752,
"autogenerated": false,
"ratio": 3.7463753318... |
from functools import reduce
import torch
import torch._utils
from ..function import Function
class Type(Function):
@staticmethod
def forward(ctx, i, dest_type):
ctx.input_type = type(i)
ctx.input_device = -1 if not i.is_cuda else i.get_device()
return i.type(dest_type)
@staticme... | {
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"path": "pytorch/source/torch/autograd/_functions/tensor.py",
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"autogenerated": false,
"ratio": 4.0649038461538... |
from functools import reduce
import urllib
import json
import urllib.request
import lxml.html
from PIL import Image
from django.core import serializers
from django.core.files.base import ContentFile
from django.db import transaction
from django.http import HttpResponse
from django.db.models import Q
import operator
fro... | {
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"path": "library/pac_views/v_books.py",
"copies": "1",
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"license": "mit",
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"line_max": 111,
"alpha_frac": 0.6130932897,
"autogenerated": false,
"ratio": 3.5236447520184546,
"confi... |
from functools import reduce
import urllib.request as urllib2
import json
import time
import os
travis_entry = 'https://api.travis-ci.org'
build_id = os.getenv("TRAVIS_BUILD_ID")
polling_interval = int(os.getenv("POLLING_INTERVAL", '5'))
gh_token = os.getenv("GITHUB_TOKEN")
job_number = os.getenv("TRAVIS_JOB_NUMBER"... | {
"repo_name": "beavyHQ/beavy",
"path": ".infrastructure/travis/scripts/travis_after_all.py",
"copies": "1",
"size": "2977",
"license": "mpl-2.0",
"hash": -1325974866063924700,
"line_mean": 33.1954022989,
"line_max": 114,
"alpha_frac": 0.6531092437,
"autogenerated": false,
"ratio": 3.5,
"config_... |
from functools import reduce
activation_func = {
# 跃迁函数
'transition': lambda x: 1 if x > 0 else 0,
# 线性函数
'linear': lambda x: x
}
class Perceptron(object):
def __init__(self, input_num, activator):
'''
初始化感知器，设置输入参数的个数，以及激活函数。
激活函数的类型为double -> double
'''
s... | {
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"path": "ANN/perceptron.py",
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"license": "mit",
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"line_mean": 26.7657657658,
"line_max": 107,
"alpha_frac": 0.5304996755,
"autogenerated": false,
"ratio": 2.032981530343008,
"config_test": false,
"has_no_keyw... |
from functools import reduce
class ActionChecker:
@classmethod
def correct_action(self, players, player_pos, sb_amount, action, amount=None):
if self.is_allin(players[player_pos], action, amount):
amount = players[player_pos].stack + players[player_pos].paid_sum()
elif self.__is_illegal(players, pla... | {
"repo_name": "sberbank-ai/holdem-challenge",
"path": "PyPokerEngine/pypokerengine/engine/action_checker.py",
"copies": "1",
"size": "3715",
"license": "mit",
"hash": -130873296404262190,
"line_mean": 34.380952381,
"line_max": 121,
"alpha_frac": 0.6522207268,
"autogenerated": false,
"ratio": 3.39... |
from functools import reduce
class BaseNegotiator:
# Constructor - Note that you can add other fields here; the only
# required fields are self.preferences and self.offer
def __init__(self):
self.preferences = []
self.offer = []
self.iter_limit = 0
# initialize(self : BaseNego... | {
"repo_name": "A-Beck/AINegotiaor",
"path": "negotiator_base.py",
"copies": "1",
"size": "1937",
"license": "mit",
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"config_test": false,
"... |
from functools import reduce
class BaseNegotiator:
# Constructor - Note that you can add other fields here; the only
# required fields are self.preferences and self.offer
def __init__(self):
self.preferences = []
self.offer = []
self.iter_limit = 0
# initialize(self : BaseNegot... | {
"repo_name": "nealp9084/hw3",
"path": "negotiator_base.py",
"copies": "1",
"size": "1915",
"license": "mit",
"hash": -3475747217960891400,
"line_mean": 46.875,
"line_max": 169,
"alpha_frac": 0.6710182768,
"autogenerated": false,
"ratio": 4.163043478260869,
"config_test": false,
"has_no_keywo... |
from functools import reduce
class BaseNegotiator:
# Constructor - Note that you can add other fields here; the only
# required fields are self.preferences and self.offer
def __init__(self):
self.preferences = []
self.offer = []
self.iter_limit = 0
# initialize(self : BaseNego... | {
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"path": "negotiator_base.py",
"copies": "4",
"size": "1917",
"license": "mit",
"hash": 4916590863553692000,
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"alpha_frac": 0.6703182055,
"autogenerated": false,
"ratio": 4.167391304347826,
"config_test": false,
"has... |
from functools import reduce
class Perceptron(object):
def __init__(self, input_num, activator):
'''
初始化感知器，设置输入参数的个数，以及激活函数。
激活函数的类型为double -> double
'''
self.activator = activator
# 权重向量初始化为0
self.weights = [0.0 for _ in range(input_num)]
# 偏置项初始化为0... | {
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"path": "pythinking/ml/common.py",
"copies": "1",
"size": "2528",
"license": "apache-2.0",
"hash": 8004354193364071000,
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"line_max": 86,
"alpha_frac": 0.5097751711,
"autogenerated": false,
"ratio": 2.207119741100324,
"config_t... |
from functools import reduce
class ScopedString (object):
def __init__ (self):
self._stack = []
def push (self, frame):
self._stack.append (frame)
def pop (self):
frame = self._stack.pop()
return frame
def __str__ (self... | {
"repo_name": "doffm/dbuf",
"path": "src/dbuf/util.py",
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"license": "bsd-3-clause",
"hash": 7000044123501045000,
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"alpha_frac": 0.4057271557,
"autogenerated": false,
"ratio": 5.037277147487845,
"config_test": false,
"has_... |
from functools import reduce
# constants used in the multGF2 function
mask1 = mask2 = polyred = None
def setGF2(degree, irPoly):
"""Define parameters of binary finite field GF(2^m)/g(x)
- degree: extension degree of binary field
- irPoly: coefficients of irreducible polynomial g(x)
"""
def i... | {
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"path": "calc.py",
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"license": "mit",
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"alpha_frac": 0.5609114812,
"autogenerated": false,
"ratio": 3.1174863387978142,
"config_test": false,
"has_no_keywo... |
from functools import reduce
def format_comment_title(product):
"""Produce a Markdown-formatted string based on a given "product"--a string
containing a browser identifier optionally followed by a colon and a
release channel. (For example: "firefox" or "chrome:dev".) The generated
title string is used ... | {
"repo_name": "Acidburn0zzz/servo",
"path": "tests/wpt/web-platform-tests/tools/wpt/markdown.py",
"copies": "43",
"size": "1622",
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from functools import reduce
def is_trivial(dependency):
(x, y) = dependency
return y <= x;
def is_superkey(key, dependency):
(x, y) = dependency
return key <= x
def is_bcnf(dependency, key):
return is_superkey(key, dependency) or is_trivial(dependency)
def str_dependency(dependency):
(x, y)... | {
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from functools import reduce
def largest_product_sequence(grid, sequence_length):
""" given a grid and sequence length returns the sequence
with the maximum product
args:
grid: the 2d array to sequence over.
sequence_length: the length of the sequence for calculating
the... | {
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"path": "problems/euler/0011-largest-product-in-grid/ichi/largest_product.py",
"copies": "1",
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"license": "mit",
"hash": 2022208254553614000,
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"autogenerated": false,... |
from functools import reduce
def p_empty_or_comment(line, comment='#'):
"""Predicate matching strings that are not empty and don't start
with a comment character. For best results, the line should no
longer contain whitespace at the start."""
return len(line) and not line.startswith(comment)
def mrepl... | {
"repo_name": "MnM/tomcat-ear",
"path": "lib/properties.py",
"copies": "1",
"size": "2746",
"license": "bsd-3-clause",
"hash": -3454626335900183000,
"line_mean": 41.2461538462,
"line_max": 80,
"alpha_frac": 0.6613255645,
"autogenerated": false,
"ratio": 4.244204018547141,
"config_test": false,
... |
from functools import reduce
def pf1(n, facts):
i = 2
while i <= n:
if n % i == 0:
facts.append(i)
pf1(n // i, facts)
break
else:
i += 1
def pf2(n):
facts = []
i = 2
while i <= n:
if n % i == 0:
#print(i)
... | {
"repo_name": "mitesh1112/smallpy",
"path": "LCMHCF.py",
"copies": "1",
"size": "1510",
"license": "unlicense",
"hash": -4395737029726131000,
"line_mean": 18.1139240506,
"line_max": 60,
"alpha_frac": 0.3894039735,
"autogenerated": false,
"ratio": 3.069105691056911,
"config_test": false,
"has_... |
from functools import reduce
from boto3.dynamodb.conditions import Attr
IMAGE_TYPE = 'image'
VIDEO_TYPE = 'video'
class MediaDB(object):
def list_media_files(self, label=None):
pass
def add_media_file(self, name, media_type, labels=None):
pass
def get_media_file(self, name):
p... | {
"repo_name": "aws-samples/chalice-workshop",
"path": "code/media-query/07-videos/chalicelib/db.py",
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"autogenerated": false,
"ratio": 4.192... |
from functools import reduce
from ckeditor_uploader import views as cku_views
from django.conf import settings
from django.contrib.auth import views as auth_views
from django.contrib.auth.decorators import login_required
from django.urls import include, path
from django.views.i18n import JavaScriptCatalog
from drf_s... | {
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"path": "modoboa/urls.py",
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"size": "3428",
"license": "isc",
"hash": -9107362390492353000,
"line_mean": 36.2608695652,
"line_max": 84,
"alpha_frac": 0.6843640607,
"autogenerated": false,
"ratio": 3.3542074363992174,
"config_test": false,
"has_no... |
from functools import reduce
from ...combinators import Lazy
from ...AST.expressions.arithmetic import IntAexp, VarAexp, BinopAexp
def any_operator_in_list(ops):
"""
Returns the parser appropriate to the keyword list (ops).
"""
from ..common import keyword
op_parsers = [keyword(op) for op in ops... | {
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from functools import reduce
from ...combinators import Rep, Exp
from ...AST.common import CompoundStatement
def stmt():
"""
Main statement parser.
Try to first parse as 'assign' statement,
if not possible - as 'if' statement,
if not possible - as 'while' statement.
"""
from ..expressions... | {
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"ratio": 3.9098837209302326,
"... |
from functools import reduce
from dateutil.parser import parse
from django.db.models import Case, Count, F, IntegerField, Manager, Max, Sum, When
from kolibri.auth.models import FacilityUser
from kolibri.content.content_db_router import default_database_is_attached, get_active_content_database
from kolibri.content.mod... | {
"repo_name": "rtibbles/kolibri",
"path": "kolibri/plugins/coach/serializers.py",
"copies": "1",
"size": "12487",
"license": "mit",
"hash": -6937374488170230000,
"line_mean": 49.1485943775,
"line_max": 122,
"alpha_frac": 0.6213662209,
"autogenerated": false,
"ratio": 4.260320709655407,
"config_... |
from functools import reduce
from dateutil.parser import parse
from django.db.models import Case
from django.db.models import Count
from django.db.models import F
from django.db.models import IntegerField
from django.db.models import Manager
from django.db.models import Max
from django.db.models import Sum
from django... | {
"repo_name": "jonboiser/kolibri",
"path": "kolibri/plugins/coach/serializers.py",
"copies": "1",
"size": "13991",
"license": "mit",
"hash": 8160696601574850000,
"line_mean": 46.2668918919,
"line_max": 122,
"alpha_frac": 0.6213994711,
"autogenerated": false,
"ratio": 4.2371290127195635,
"config... |
from functools import reduce
from dict_utils.public import DictUtils
class BlueprintResolver():
"""
takes care of resolving the dependencies of blueprints into one independent document
"""
class ResolvingException(Exception):
"""
is thrown, in case an error occurs, during resolving a ... | {
"repo_name": "jdepoix/goto_cloud",
"path": "goto_cloud/migration_plan_parsing/blueprint_resolving.py",
"copies": "1",
"size": "3237",
"license": "mit",
"hash": -1883769820102194000,
"line_mean": 34.1847826087,
"line_max": 118,
"alpha_frac": 0.6184738956,
"autogenerated": false,
"ratio": 4.860360... |
from functools import reduce
from django.apps.registry import apps
from django.conf.urls import url as conf_url, include
from django.contrib.auth import get_permission_codename
from django.core.exceptions import ImproperlyConfigured
import declarative_urlconf as urlconf
from . import views
from .registry import Regis... | {
"repo_name": "bpeschier/reek-admin",
"path": "admin/admins.py",
"copies": "1",
"size": "7321",
"license": "mit",
"hash": -4863488015621554000,
"line_mean": 30.0211864407,
"line_max": 97,
"alpha_frac": 0.6139871602,
"autogenerated": false,
"ratio": 4.049225663716814,
"config_test": false,
"ha... |
from functools import reduce
from django.contrib.auth.models import User
from approver.models import Response, Question, Project, Choice
from approver.constants import answer_submit_names, answer_response_names
from approver.utils import get_current_user_gatorlink, after_approval
def add_update_response(post_data, r... | {
"repo_name": "PFWhite/qipr_approver",
"path": "qipr_approver/approver/workflows/approve_workflow.py",
"copies": "1",
"size": "4445",
"license": "apache-2.0",
"hash": 7523950253024121000,
"line_mean": 39.7798165138,
"line_max": 119,
"alpha_frac": 0.694488189,
"autogenerated": false,
"ratio": 3.96... |
from functools import reduce
from django.core.exceptions import ObjectDoesNotExist
from django.db import models
from django.db.models import F, Sum
from . import exceptions
class QuotaLimitField(models.IntegerField):
""" Django virtual model field.
Could be used to manage quotas transparently as model f... | {
"repo_name": "opennode/nodeconductor-assembly-waldur",
"path": "src/waldur_core/quotas/fields.py",
"copies": "1",
"size": "12173",
"license": "mit",
"hash": -2991388658199226000,
"line_mean": 34.6979472141,
"line_max": 114,
"alpha_frac": 0.6251540294,
"autogenerated": false,
"ratio": 4.284758887... |
from functools import reduce
from django.core.management.base import BaseCommand
from chat.serializers import LessonSerializer
from chat.models import Chat
class Command(BaseCommand):
"""
Update all Chats progress.
"""
def handle(self, *args, **options):
for chat in Chat.objects.all():
... | {
"repo_name": "cjlee112/socraticqs2",
"path": "mysite/chat/management/commands/update_progress.py",
"copies": "1",
"size": "1651",
"license": "apache-2.0",
"hash": 2815920373167082500,
"line_mean": 36.5227272727,
"line_max": 95,
"alpha_frac": 0.5481526348,
"autogenerated": false,
"ratio": 4.41443... |
from functools import reduce
from django.db import models
from django.core.validators import MinLengthValidator
from .validators import (
IsDigitValidator, ControlNumberValidation
)
class SNILS(str):
RAZOR = '001-001-998'
control_mask = range(9, 0, -1)
@property
def representation(self):
... | {
"repo_name": "wolfstein9119/django-russian-fields",
"path": "russian_fields/snils.py",
"copies": "1",
"size": "2731",
"license": "bsd-2-clause",
"hash": -3323046112380606000,
"line_mean": 27.1546391753,
"line_max": 99,
"alpha_frac": 0.5759794947,
"autogenerated": false,
"ratio": 3.73087431693989... |
from functools import reduce
from django.db import models
from django.db.models import Min
from django.db.models.signals import post_delete, post_save
from django.dispatch.dispatcher import receiver
from django.utils.translation import ugettext_lazy as _
from cms.models import CMSPlugin
from filer.fields.image import... | {
"repo_name": "MagicSolutions/cmsplugin-media-center",
"path": "cmsplugin_media_center/models.py",
"copies": "1",
"size": "6618",
"license": "mit",
"hash": 3373914652532916700,
"line_mean": 37.0344827586,
"line_max": 100,
"alpha_frac": 0.6429434875,
"autogenerated": false,
"ratio": 4.055147058823... |
from functools import reduce
from django.db import models
from django.db.models import Sum
import six
from . import exceptions
class QuotaLimitField(models.IntegerField):
""" Django virtual model field.
Could be used to manage quotas transparently as model fields.
"""
concrete = False
def ... | {
"repo_name": "opennode/nodeconductor",
"path": "waldur_core/quotas/fields.py",
"copies": "1",
"size": "11711",
"license": "mit",
"hash": -1403234775563532500,
"line_mean": 37.9069767442,
"line_max": 114,
"alpha_frac": 0.6481086158,
"autogenerated": false,
"ratio": 4.176533523537803,
"config_te... |
from functools import reduce
from django.db import models
from crm.models import Company
from products.models import Product
INVOICE_TYPES = (
('ci', 'Client'),
('si', 'Supplier'),
)
INVOICE_STATES = (
('draft', 'Draft'),
('open', 'Open'),
('paid', 'Paid'),
)
class Invoice(models.Model):
... | {
"repo_name": "drf-forms/ember_sample",
"path": "back/accounting/models.py",
"copies": "1",
"size": "1466",
"license": "mit",
"hash": -6216469767982337000,
"line_mean": 24.7192982456,
"line_max": 99,
"alpha_frac": 0.636425648,
"autogenerated": false,
"ratio": 3.720812182741117,
"config_test": f... |
from functools import reduce
from django.db.models import Q
from django.http import Http404
from django.shortcuts import render
from django.db import models
# Create your views here.
from django.http import Http404
from dcal.models import DimCalendar
from django.views.generic import TemplateView, ListView
# Create yo... | {
"repo_name": "gregn610/dimcal",
"path": "src/dimcal/buildsql/views.py",
"copies": "1",
"size": "5155",
"license": "unlicense",
"hash": -8593790262031897000,
"line_mean": 31.4213836478,
"line_max": 100,
"alpha_frac": 0.6031037827,
"autogenerated": false,
"ratio": 3.8759398496240602,
"config_tes... |
from functools import reduce
from django.db.models import Q
__all__ = [
'Condition',
'AndCondition', 'OrCondition',
'LookupCondition',
]
class Condition:
def __init__(self, query, *args, **kwargs):
self.query = query
def annotate(self, queryset):
"""
Hook for conditions... | {
"repo_name": "mkonline/django-json-queries",
"path": "django_json_queries/conditions.py",
"copies": "1",
"size": "3973",
"license": "mit",
"hash": 270628688784390370,
"line_mean": 27.1773049645,
"line_max": 79,
"alpha_frac": 0.59023408,
"autogenerated": false,
"ratio": 4.304442036836403,
"conf... |
from functools import reduce
from django.utils.safestring import mark_safe
from django.utils.translation import ugettext
from pyston.exception import RESTException
from pyston.utils import rfs, LOOKUP_SEP
from pyston.utils.helpers import get_field_or_none, get_method_or_none
from pyston.serializer import get_resource... | {
"repo_name": "druids/django-pyston",
"path": "pyston/order/managers.py",
"copies": "1",
"size": "10096",
"license": "bsd-3-clause",
"hash": -3902591484074683000,
"line_mean": 48.0097087379,
"line_max": 118,
"alpha_frac": 0.6677892235,
"autogenerated": false,
"ratio": 4.527354260089686,
"config... |
from functools import reduce
from domain.gameboardrelativepositionstateneuron import GameBoardRelativePositionStateNeuron
from domain.direction import Direction
from domain.neuron import Neuron
from domain.position import Position
from domain.sigmoidneuron import SigmoidNeuron
from domain.synapse import Synapse
clas... | {
"repo_name": "hesslink111/neuralnetworknibbles",
"path": "domain/snakeneuralnet.py",
"copies": "1",
"size": "2950",
"license": "mit",
"hash": -3494377340332166000,
"line_mean": 39.9722222222,
"line_max": 119,
"alpha_frac": 0.6071186441,
"autogenerated": false,
"ratio": 3.975741239892183,
"conf... |
from functools import reduce
from ..function import Function
class _DimReduceFunction(Function):
def __init__(self, dim=None):
super(_DimReduceFunction, self).__init__()
self.dim = dim
def forward(self, input):
self.input_size = input.size()
fn = getattr(input, self.fn_name)... | {
"repo_name": "RPGOne/Skynet",
"path": "pytorch-master/torch/autograd/_functions/reduce.py",
"copies": "1",
"size": "7116",
"license": "bsd-3-clause",
"hash": -1041379393362069600,
"line_mean": 32.2523364486,
"line_max": 101,
"alpha_frac": 0.5505902192,
"autogenerated": false,
"ratio": 3.76308831... |
from functools import reduce
from git_orm import transaction, GitError
from git_orm.models.query import Q
class ObjCache:
def __init__(self, model):
self.model = model
self.cache = {}
pks = transaction.current().list_blobs([model._meta.storage_name])
self.pks = set(map(model._meta... | {
"repo_name": "natano/python-git-orm",
"path": "git_orm/models/queryset.py",
"copies": "1",
"size": "4081",
"license": "isc",
"hash": -7960725986496986000,
"line_mean": 29.9166666667,
"line_max": 79,
"alpha_frac": 0.550845381,
"autogenerated": false,
"ratio": 3.9315992292870905,
"config_test": ... |
from functools import reduce
from helpers.spec_helper import *
from interfaces.expr import Bool
from interfaces.spec import Spec
n = 2
rs_array, r_array = [], []
gs_array, g_array = [], []
rm_s, rm = sig_prop('rm')
gm_s, gm = sig_prop('gm')
for i in range(n):
rs, r = sig_prop('r_'+str(i))
gs, g = sig_prop(... | {
"repo_name": "5nizza/party-elli",
"path": "experiments-for-synt/prioritized_arbiter_2.py",
"copies": "1",
"size": "1275",
"license": "mit",
"hash": -2886802942676356600,
"line_mean": 16.4657534247,
"line_max": 85,
"alpha_frac": 0.5458823529,
"autogenerated": false,
"ratio": 2.634297520661157,
... |
from functools import reduce
from helpers.spec_helper import *
from interfaces.expr import Bool
from interfaces.spec import Spec
n = 3
#
rs_array, r_array = [], []
gs_array, g_array = [], []
for i in range(n):
rs, r = sig_prop('r_'+str(i))
gs, g = sig_prop('g_'+str(i))
rs_array.append(rs)
r_array.a... | {
"repo_name": "5nizza/party-elli",
"path": "experiments-for-synt/postponed_arbiter_3.py",
"copies": "1",
"size": "1119",
"license": "mit",
"hash": -2262745207517796900,
"line_mean": 23.8666666667,
"line_max": 99,
"alpha_frac": 0.5549597855,
"autogenerated": false,
"ratio": 2.632941176470588,
"c... |
from functools import reduce
from helpers.spec_helper import *
from interfaces.expr import Bool
from interfaces.spec import Spec
n = 3
rs_array, r_array = [], []
gs_array, g_array = [], []
rm_s, rm = sig_prop('rm')
gm_s, gm = sig_prop('gm')
for i in range(n):
rs, r = sig_prop('r_'+str(i))
gs, g = sig_prop(... | {
"repo_name": "5nizza/party-elli",
"path": "experiments-for-synt/prioritized_arbiter_3.py",
"copies": "1",
"size": "1275",
"license": "mit",
"hash": -2582711146591164000,
"line_mean": 16.4657534247,
"line_max": 85,
"alpha_frac": 0.5458823529,
"autogenerated": false,
"ratio": 2.634297520661157,
... |
from functools import reduce
from helpers.spec_helper import *
from interfaces.expr import Bool
from interfaces.spec import Spec
n = 4
#
rs_array, r_array = [], []
gs_array, g_array = [], []
for i in range(n):
rs, r = sig_prop('r_'+str(i))
gs, g = sig_prop('g_'+str(i))
rs_array.append(rs)
r_array.a... | {
"repo_name": "5nizza/party-elli",
"path": "experiments-for-synt/postponed_arbiter_4.py",
"copies": "1",
"size": "1119",
"license": "mit",
"hash": 7659840922421147000,
"line_mean": 23.8666666667,
"line_max": 99,
"alpha_frac": 0.5549597855,
"autogenerated": false,
"ratio": 2.632941176470588,
"co... |
from functools import reduce
from .homogeneous import Translation, UniformScale, Rotation, Affine, Homogeneous
def transform_about_centre(obj, transform):
r"""
Return a Transform that implements transforming an object about
its centre. The given object must be transformable and must implement
a metho... | {
"repo_name": "patricksnape/menpo",
"path": "menpo/transform/compositions.py",
"copies": "2",
"size": "4180",
"license": "bsd-3-clause",
"hash": 4948414588822811000,
"line_mean": 33.8333333333,
"line_max": 86,
"alpha_frac": 0.6669856459,
"autogenerated": false,
"ratio": 4.278403275332651,
"conf... |
from functools import reduce
from .homogeneous import (Translation, UniformScale, Rotation, Affine,
Homogeneous)
def transform_about_centre(obj, transform):
r"""
Return a Transform that implements transforming an object about
its centre. The given object must be transformable an... | {
"repo_name": "yuxiang-zhou/menpo",
"path": "menpo/transform/compositions.py",
"copies": "4",
"size": "4233",
"license": "bsd-3-clause",
"hash": 699174643305522400,
"line_mean": 33.9834710744,
"line_max": 81,
"alpha_frac": 0.6586345382,
"autogenerated": false,
"ratio": 4.323799795709908,
"confi... |
from functools import reduce
from lisp.environment import default, Env
NIL = []
def procedure(params, body, env):
"""
User defined procedure.
Uses lexical scoping (lookup names in the place it was defined).
"""
return lambda *args: evaluate_expression(body, Env(params, args, env))
def evalua... | {
"repo_name": "begor/lisp",
"path": "lisp/evaluator.py",
"copies": "1",
"size": "5360",
"license": "mit",
"hash": 3426213915181929000,
"line_mean": 26.6288659794,
"line_max": 96,
"alpha_frac": 0.5893656716,
"autogenerated": false,
"ratio": 4.088482074752098,
"config_test": false,
"has_no_keyw... |
from functools import reduce
from lispy.parser import List, Quotation, Number, Symbol
from lispy.evaluator import evaluate, macro, ismacro
def test_number():
value = evaluate(Number(123), {})
assert value == Number(123)
def test_number_list():
value = evaluate(Quotation(List([Number(11), Number(22), Nu... | {
"repo_name": "yhlam/lispy",
"path": "tests/test_evaluator.py",
"copies": "1",
"size": "2147",
"license": "mit",
"hash": -4133747809516157000,
"line_mean": 26.1772151899,
"line_max": 79,
"alpha_frac": 0.4792734048,
"autogenerated": false,
"ratio": 4.193359375,
"config_test": true,
"has_no_key... |
from functools import reduce
from mission.constants.config import buoys as constants
from mission.framework.combinators import Sequential, Concurrent, MasterConcurrent, Conditional
from mission.framework.helpers import call_if_function, ConsistencyCheck, get_sub_position
from mission.framework.movement import Heading... | {
"repo_name": "cuauv/software",
"path": "mission/missions/old/2017/buoys.py",
"copies": "1",
"size": "41842",
"license": "bsd-3-clause",
"hash": -9004799887464110000,
"line_mean": 36.6276978417,
"line_max": 192,
"alpha_frac": 0.544452942,
"autogenerated": false,
"ratio": 4.022495673908864,
"con... |
from functools import reduce
from netCDF4 import Dataset
from numpy import ndarray
from numpy.ma import masked_array, masked_where
from numpy.ma.core import is_masked
from rasterio.dtypes import is_ndarray
from ncdjango.geoprocessing import params
from ncdjango.geoprocessing.data import Raster
from ncdjango.geoproces... | {
"repo_name": "consbio/ncdjango",
"path": "ncdjango/geoprocessing/tasks/raster.py",
"copies": "1",
"size": "6556",
"license": "bsd-3-clause",
"hash": -8171174457640008000,
"line_mean": 36.0395480226,
"line_max": 118,
"alpha_frac": 0.6526845638,
"autogenerated": false,
"ratio": 4.310322156476003,
... |
from functools import reduce
from plisp import types
from plisp import environment
# Special forms
class LambdaForm(types.Callable):
def apply(self, args, call_env):
if len(args) != 2 or type(args[0]) is not types.List:
raise SyntaxError("lambda must be of form: lambda args expression")
... | {
"repo_name": "s0lder/plisp",
"path": "plisp/builtins.py",
"copies": "1",
"size": "7136",
"license": "mit",
"hash": -2324792269042718700,
"line_mean": 31.2895927602,
"line_max": 106,
"alpha_frac": 0.6091647982,
"autogenerated": false,
"ratio": 3.791710945802338,
"config_test": false,
"has_no_... |
from functools import reduce
from pyglet_gui.constants import HALIGN_CENTER, HALIGN_LEFT, HALIGN_RIGHT, \
VALIGN_TOP, VALIGN_CENTER, ANCHOR_CENTER, GetRelativePoint
from pyglet_gui.core import Viewer, Rectangle
class Spacer(Viewer):
def __init__(self, min_width=0, min_height=0):
Viewer.__init__(self... | {
"repo_name": "jorgecarleitao/pyglet-gui",
"path": "pyglet_gui/containers.py",
"copies": "1",
"size": "13627",
"license": "bsd-3-clause",
"hash": 8314039891102288000,
"line_mean": 30.7645687646,
"line_max": 112,
"alpha_frac": 0.5621927057,
"autogenerated": false,
"ratio": 4.118162586884255,
"co... |
from functools import reduce
from pypokerengine.engine.card import Card
import random
class Deck:
def __init__(self, deck_ids=None, cheat=False, cheat_card_ids=[]):
self.cheat = cheat
self.cheat_card_ids = cheat_card_ids
self.deck = [Card.from_id(cid) for cid in deck_ids] if deck_ids else self.__setup(... | {
"repo_name": "sberbank-ai/holdem-challenge",
"path": "PyPokerEngine/pypokerengine/engine/deck.py",
"copies": "2",
"size": "1305",
"license": "mit",
"hash": -9160316534048159000,
"line_mean": 26.7659574468,
"line_max": 87,
"alpha_frac": 0.6636015326,
"autogenerated": false,
"ratio": 2.98627002288... |
from functools import reduce
from pypokerengine.engine.table import Table
from pypokerengine.engine.player import Player
from pypokerengine.engine.pay_info import PayInfo
from pypokerengine.engine.poker_constants import PokerConstants as Const
from pypokerengine.engine.action_checker import ActionChecker
from pypokere... | {
"repo_name": "sberbank-ai/holdem-challenge",
"path": "PyPokerEngine/pypokerengine/engine/round_manager.py",
"copies": "1",
"size": "9824",
"license": "mit",
"hash": -9215129100342321000,
"line_mean": 41.5281385281,
"line_max": 118,
"alpha_frac": 0.6836319218,
"autogenerated": false,
"ratio": 3.3... |
from functools import reduce
from pypokerengine.engine.table import Table
from pypokerengine.engine.seats import Seats
from pypokerengine.engine.card import Card
from pypokerengine.engine.deck import Deck
from pypokerengine.engine.player import Player
from pypokerengine.engine.pay_info import PayInfo
from pypokerengin... | {
"repo_name": "ishikota/PyPokerEngine",
"path": "pypokerengine/utils/game_state_utils.py",
"copies": "2",
"size": "6742",
"license": "mit",
"hash": -6288793233862788000,
"line_mean": 43.0653594771,
"line_max": 113,
"alpha_frac": 0.6929694453,
"autogenerated": false,
"ratio": 3.369315342328836,
... |
from functools import reduce
from rest_framework.decorators import api_view
from django.conf import settings
from django.db.models import Q
from .helpers import (PrettyJsonResponse, _create_page_token,
_get_paginated_bookings, _parse_datetime,
_return_json_bookings, _serial... | {
"repo_name": "uclapi/uclapi",
"path": "backend/uclapi/roombookings/views.py",
"copies": "1",
"size": "8695",
"license": "mit",
"hash": -1820212846184739800,
"line_mean": 33.2322834646,
"line_max": 78,
"alpha_frac": 0.6354226567,
"autogenerated": false,
"ratio": 3.7237687366167025,
"config_test... |
from functools import reduce
from scitbx import matrix
from scitbx.array_family import flex
from dials.algorithms.refinement.parameterisation.model_parameters import (
ModelParameterisation,
Parameter,
)
from dials.algorithms.refinement.refinement_helpers import (
PanelGroupCompose,
dR_from_axis_and_a... | {
"repo_name": "dials/dials",
"path": "algorithms/refinement/parameterisation/detector_parameters.py",
"copies": "1",
"size": "43681",
"license": "bsd-3-clause",
"hash": -6781433291710114000,
"line_mean": 37.1160558464,
"line_max": 95,
"alpha_frac": 0.5652343124,
"autogenerated": false,
"ratio": 3... |
from functools import reduce
from skyline_path.core import SkylineStatus
from skyline_path.core.dominate import dominate_check
from skyline_path.core.edge_helper import aggregate
class SkyPath:
"""
Implement SkyPath Algorithm.
composite with MultiAttributeGraph
"""
def __init__(self, mag):
... | {
"repo_name": "shadow3x3x3/renew-skyline-path-query",
"path": "skyline_path/algorithms/sky_path.py",
"copies": "1",
"size": "3131",
"license": "mit",
"hash": 4500573737302058500,
"line_mean": 35.8352941176,
"line_max": 72,
"alpha_frac": 0.5934206324,
"autogenerated": false,
"ratio": 3.74074074074... |
from functools import reduce
from Slices import Slice
from theReader import TheReader
class Brain:
def __init__(self, configFile):
self.reader = TheReader(configFile)
self.reader.readConfiguration()
self.slices = []
def searchMinOccurencesOfIngredient(self):
numResult = reduce... | {
"repo_name": "ziliquas/PizzaHashCode",
"path": "Logic.py",
"copies": "1",
"size": "4492",
"license": "apache-2.0",
"hash": 3854685415951473700,
"line_mean": 37.724137931,
"line_max": 146,
"alpha_frac": 0.5256010686,
"autogenerated": false,
"ratio": 3.8360375747224595,
"config_test": false,
"... |
from functools import reduce
from sqlalchemy import and_
def rowdict(row):
if row is None:
return None
return dict(row.items())
def rowdicts(rows):
if rows is None:
return None
return [dict(r) for r in rows]
def exec_fetchall(expr):
return expr.execute().fetchall()
def exec_... | {
"repo_name": "davvid/skeletor",
"path": "skeletor/db/sql.py",
"copies": "1",
"size": "2973",
"license": "bsd-3-clause",
"hash": -2865598310043325400,
"line_mean": 29.3367346939,
"line_max": 76,
"alpha_frac": 0.6781029263,
"autogenerated": false,
"ratio": 3.7776365946632784,
"config_test": fals... |
from functools import reduce
from syntax import *
from collections import namedtuple
class NoRuleApplies(RuntimeError):
pass
# ------------------------ EVALUATION ------------------------
def isnumericval(term):
t_term = type(term)
if t_term is TmZero:
return True
elif t_term is TmSucc:
... | {
"repo_name": "habibutsu/tapl-py",
"path": "recon/core.py",
"copies": "1",
"size": "6891",
"license": "mit",
"hash": -2543317977205793300,
"line_mean": 26.2371541502,
"line_max": 67,
"alpha_frac": 0.5735016688,
"autogenerated": false,
"ratio": 3.145139205842081,
"config_test": false,
"has_no_... |
from functools import reduce
from tetre.rule_applier import *
from tree_utils import find_in_spacynode, merge_nodes
class Growth(RuleApplier):
def __init__(self):
"""Implements all growth rules. Growth rules are the ones that increases the number of children that
are right below the node of the w... | {
"repo_name": "aoldoni/tetre",
"path": "lib/tetre/graph_processing.py",
"copies": "1",
"size": "21385",
"license": "mit",
"hash": -8382806804492293,
"line_mean": 39.9367816092,
"line_max": 119,
"alpha_frac": 0.5767232907,
"autogenerated": false,
"ratio": 4.269530469530469,
"config_test": false,... |
from functools import reduce
from typing import Tuple, Callable, Any, TypeVar, overload # noqa
A = TypeVar("A")
B = TypeVar("B")
C = TypeVar("C")
D = TypeVar("D")
E = TypeVar("E")
F = TypeVar("F")
G = TypeVar("G")
@overload
def compose() -> Callable[[A], A]: # pylint: disable=function-redefined
... # pylint:... | {
"repo_name": "dbrattli/OSlash",
"path": "oslash/util/fn.py",
"copies": "1",
"size": "2405",
"license": "apache-2.0",
"hash": -4851590875184598000,
"line_mean": 24.8602150538,
"line_max": 116,
"alpha_frac": 0.6191268191,
"autogenerated": false,
"ratio": 3.202396804260985,
"config_test": false,
... |
from functools import reduce
from typing import TypeVar, Callable, List, Tuple, Any
T = TypeVar('T')
def curry(x, args_count=None):
"""
In mathematics and computer science, currying is the technique of translating the evaluation of a function.
It that takes multiple arguments (or a tuple of arguments) ... | {
"repo_name": "przemyslawjanpietrzak/pyMonet",
"path": "pymonet/utils.py",
"copies": "1",
"size": "4461",
"license": "mit",
"hash": -5447081044837870000,
"line_mean": 26.0363636364,
"line_max": 111,
"alpha_frac": 0.6565792423,
"autogenerated": false,
"ratio": 4.062841530054645,
"config_test": f... |
from functools import reduce
from videocore.vinstr import *
from videocore.encoding import Register
# helper functions
def print_with_indent(instr):
print (' {}'.format(instr))
def print_with_attension(instr):
print ('>>> {}'.format(instr))
# TODO: print labels
# labels are not stored in asm._instructions, ... | {
"repo_name": "nineties/py-videocore",
"path": "videocore/checker.py",
"copies": "1",
"size": "8613",
"license": "mit",
"hash": 1364999910554287900,
"line_mean": 28.4965753425,
"line_max": 165,
"alpha_frac": 0.6353187043,
"autogenerated": false,
"ratio": 3.32035466461064,
"config_test": false,
... |
from functools import reduce
from werkzeug.exceptions import NotFound
from werkzeug.utils import redirect
from .application import Page
from .utils import unicodecmp
class ServerList(Page):
url_rule = "/"
def order_link(self, name, title):
cls = ""
link = f"?order_by={name}"
desc = ... | {
"repo_name": "pallets/werkzeug",
"path": "examples/cupoftee/pages.py",
"copies": "1",
"size": "2202",
"license": "bsd-3-clause",
"hash": -3179701102525839400,
"line_mean": 28.36,
"line_max": 88,
"alpha_frac": 0.5613079019,
"autogenerated": false,
"ratio": 3.8229166666666665,
"config_test": fal... |
from functools import reduce
import asyncio_mongo
from asyncio_mongo import _pymongo
from asyncio_mongo import exceptions
from asyncio_mongo import filter as qf
from wdim.orm import sort
from wdim.orm import query
from wdim.orm import exceptions
from wdim.orm.database.base import DatabaseLayer
from wdim.orm.database.... | {
"repo_name": "chrisseto/Still",
"path": "wdim/orm/database/mongo.py",
"copies": "1",
"size": "3132",
"license": "mit",
"hash": -5461633035654963000,
"line_mean": 33.8,
"line_max": 122,
"alpha_frac": 0.6270753512,
"autogenerated": false,
"ratio": 4.051746442432083,
"config_test": false,
"has_... |
from functools import reduce
import django_filters
from django.db.models import Q
from . import models
class BuildingFilter(django_filters.FilterSet):
class Meta:
model = models.Building
fields = [
'campusonline',
]
class FloorFilter(django_filters.FilterSet):
class M... | {
"repo_name": "medunigraz/outpost",
"path": "src/outpost/django/geo/filters.py",
"copies": "2",
"size": "1883",
"license": "bsd-2-clause",
"hash": -387461130281135360,
"line_mean": 19.6923076923,
"line_max": 60,
"alpha_frac": 0.5677110993,
"autogenerated": false,
"ratio": 4.175166297117516,
"co... |
from functools import reduce
import ee
import math
class ImageOperation(object):
def __init__(self, image):
super(ImageOperation, self).__init__()
self.image = image
self.input_band_names = image.bandNames()
def select(self, name):
return self.image.select(name)
def set(... | {
"repo_name": "openforis/sepal",
"path": "modules/google-earth-engine/docker/src/sepalinternal/image_operation.py",
"copies": "1",
"size": "2259",
"license": "mit",
"hash": 4669413418577869000,
"line_mean": 30.8169014085,
"line_max": 93,
"alpha_frac": 0.5945108455,
"autogenerated": false,
"ratio"... |
from functools import reduce
import hail as hl
from hail.expr.functions import _ndarray
from hail.expr.functions import array as aarray
from hail.expr.types import HailType, tfloat64, ttuple, tndarray
from hail.typecheck import typecheck, nullable, oneof, tupleof, sequenceof
from hail.expr.expressions import (
exp... | {
"repo_name": "danking/hail",
"path": "hail/python/hail/nd/nd.py",
"copies": "1",
"size": "17209",
"license": "mit",
"hash": -2458475302368590000,
"line_mean": 28.8732638889,
"line_max": 134,
"alpha_frac": 0.5916196897,
"autogenerated": false,
"ratio": 3.4304226475279105,
"config_test": false,
... |
from functools import reduce
import numpy as np
import numpy.core.umath as umath
import numpy.core.fromnumeric as fromnumeric
from numpy.testing import (
assert_, assert_raises, assert_equal,
)
from numpy.ma import (
MaskType, MaskedArray, absolute, add, all, allclose, allequal, alltrue,
arange, arccos... | {
"repo_name": "rgommers/numpy",
"path": "numpy/ma/tests/test_old_ma.py",
"copies": "10",
"size": "32265",
"license": "bsd-3-clause",
"hash": -820715414340764300,
"line_mean": 36.6048951049,
"line_max": 81,
"alpha_frac": 0.4760576476,
"autogenerated": false,
"ratio": 2.9023117747593776,
"config_... |
from functools import reduce
import numpy as np
import random
import numpy as np
from common.utils import binary, index_bits
_AND = lambda a, b: a & b
_XOR = lambda a, b: a ^ b
def _gamma(cipher_query, cipher_index, cipher_one):
"""
Calculates the value of the gamma function, as described in PDF
(para... | {
"repo_name": "blindstore/blindstore-old-scarab",
"path": "server/store.py",
"copies": "1",
"size": "3439",
"license": "mit",
"hash": 8082321268612189000,
"line_mean": 32.3980582524,
"line_max": 79,
"alpha_frac": 0.5958127363,
"autogenerated": false,
"ratio": 3.916856492027335,
"config_test": f... |
from functools import reduce
import numpy
import gem
from finat.finiteelementbase import FiniteElementBase
class TensorFiniteElement(FiniteElementBase):
def __init__(self, element, shape, transpose=False):
# TODO: Update docstring for arbitrary rank!
r"""A Finite element whose basis functions ... | {
"repo_name": "FInAT/FInAT",
"path": "finat/tensorfiniteelement.py",
"copies": "1",
"size": "4689",
"license": "mit",
"hash": 6153960399085693000,
"line_mean": 36.512,
"line_max": 147,
"alpha_frac": 0.6142034549,
"autogenerated": false,
"ratio": 3.84344262295082,
"config_test": false,
"has_no... |
from functools import reduce
import os
import magic
from django.core.exceptions import ImproperlyConfigured
from .settings import (
IMAGE_SETS,
QUAL,
VERSATILEIMAGEFIELD_POST_PROCESSOR,
VERSATILEIMAGEFIELD_SIZED_DIRNAME,
VERSATILEIMAGEFIELD_FILTERED_DIRNAME
)
# PIL-supported file formats as foun... | {
"repo_name": "respondcreate/django-versatileimagefield",
"path": "versatileimagefield/utils.py",
"copies": "2",
"size": "7238",
"license": "mit",
"hash": 8795258097111337000,
"line_mean": 28.7860082305,
"line_max": 83,
"alpha_frac": 0.6007184305,
"autogenerated": false,
"ratio": 3.49661835748792... |
from functools import reduce
import pytest
import requests
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.wait import WebDriverWait
from sqlalchemy import text
import xml.etree.ElementTree as ET
from tests.conftest import TEST_PROXY_URL, TES... | {
"repo_name": "ebu/radiodns-plugit",
"path": "tests/tests/test_channel_deletion.py",
"copies": "1",
"size": "4596",
"license": "bsd-3-clause",
"hash": -3467562439157245400,
"line_mean": 58.6883116883,
"line_max": 217,
"alpha_frac": 0.6703655352,
"autogenerated": false,
"ratio": 2.9575289575289574... |
from functools import reduce
import pytest
import requests
import xml.etree.ElementTree as ET
from selenium.webdriver.support.select import Select
from sqlalchemy import text
from tests.conftest import TEST_PROXY_URL, TEST_RADIO_DNS_URL
from tests.test_channel_creation import CHANNELS_MSQL_QUERY
from tests.utilities... | {
"repo_name": "ebu/radiodns-plugit",
"path": "tests/tests/test_channel_edition.py",
"copies": "1",
"size": "5928",
"license": "bsd-3-clause",
"hash": -3110348555499969000,
"line_mean": 62.0638297872,
"line_max": 217,
"alpha_frac": 0.6643049933,
"autogenerated": false,
"ratio": 2.89453125,
"conf... |
from functools import reduce
import pytest
from robot_server.service.json_api.errors import ErrorResponse
def errors_wrapper(d):
return {'errors': [d]}
valid_error_objects = [
{'id': 'abc123'},
{'status': '404'},
{'title': 'Something went wrong'},
{'detail': "oh wow, there's a few things we me... | {
"repo_name": "OpenTrons/opentrons-api",
"path": "robot-server/tests/service/json_api/test_errors.py",
"copies": "2",
"size": "1298",
"license": "apache-2.0",
"hash": 4259104373867266000,
"line_mean": 27.8444444444,
"line_max": 66,
"alpha_frac": 0.6825885978,
"autogenerated": false,
"ratio": 3.51... |
from functools import reduce
import tensorflow as tf
from tensorflow.contrib.layers import batch_norm
from enum import Enum
class Phase(Enum):
train = 1
validation = 2
predict = 3
class Layer(Enum):
token = 1
tag = 2
deprel = 3
feature = 4
class ParseModel:
def __init__(
... | {
"repo_name": "danieldk/dpar",
"path": "dpar-utils/tensorflow/model.py",
"copies": "1",
"size": "5346",
"license": "apache-2.0",
"hash": -7279705318816222000,
"line_mean": 29.375,
"line_max": 95,
"alpha_frac": 0.5658436214,
"autogenerated": false,
"ratio": 3.810406272273699,
"config_test": true... |
from functools import reduce
import time
from pebble import ProcessPool
from multiprocessing import cpu_count
from os.path import isdir, join, abspath
from glob import glob
import h5py
from datatypes.objects import Molecule, RISM
from operators.charges.ambercharges import AmberCharges
from operators.converters.select_... | {
"repo_name": "sergsb/clever",
"path": "processing/core.py",
"copies": "1",
"size": "4255",
"license": "apache-2.0",
"hash": -1789431450703733800,
"line_mean": 35.0593220339,
"line_max": 98,
"alpha_frac": 0.644653349,
"autogenerated": false,
"ratio": 3.4791496320523305,
"config_test": false,
... |
from functools import reduce
import wx
from vistas.core.observers.camera import CameraObservable
from vistas.core.preferences import Preferences
from vistas.ui.controllers.project import ProjectChangedEvent
from vistas.ui.controls.viewer_panel import ViewerPanel
from vistas.ui.events import EVT_CAMERA_MODE_CHANGED, E... | {
"repo_name": "VISTAS-IVES/pyvistas",
"path": "source/vistas/ui/controls/viewer_container_panel.py",
"copies": "1",
"size": "7749",
"license": "bsd-3-clause",
"hash": -8581602621986710000,
"line_mean": 34.7096774194,
"line_max": 112,
"alpha_frac": 0.5972383533,
"autogenerated": false,
"ratio": 3.... |
from functools import reduce
class ConfigurationGenerator:
def __init__(self):
pass
def _check_circle(self, function_list, device):
in_degrees = []
for func in function_list:
in_degrees.append(len(getattr(device, func).dependencies))
if 0 in in_degrees:
... | {
"repo_name": "ttaanngg/petal",
"path": "app/generator.py",
"copies": "1",
"size": "4208",
"license": "bsd-3-clause",
"hash": 3498471126078858000,
"line_mean": 42.0430107527,
"line_max": 120,
"alpha_frac": 0.4340329835,
"autogenerated": false,
"ratio": 4.130030959752322,
"config_test": false,
... |
from functools import reduce
class ConfigurationGenerator:
def __init__(self):
pass
def _check_circle(self, functions_list, device):
in_degrees = []
for func in functions_list:
in_degrees.append(len(getattr(device, func).dependencies))
if 0 in in_degrees:
... | {
"repo_name": "wenkaiqiu/petal",
"path": "app/generator.py",
"copies": "1",
"size": "5049",
"license": "bsd-3-clause",
"hash": 7921616959501786000,
"line_mean": 42.25,
"line_max": 122,
"alpha_frac": 0.4216394797,
"autogenerated": false,
"ratio": 4.153516295025729,
"config_test": false,
"has_n... |
from functools import reduce
class Counter:
def __init__(self):
self.success_count = 0
self.skip_count = 0
self.fail_count = 0
self.first_fail = None
self.first_skip = None
def success(self):
self.success_count += 1
def skip(self, message):
self.sk... | {
"repo_name": "jtauber/greek-inflection",
"path": "utils.py",
"copies": "1",
"size": "1055",
"license": "mit",
"hash": -521518600355458600,
"line_mean": 27.5135135135,
"line_max": 109,
"alpha_frac": 0.5800947867,
"autogenerated": false,
"ratio": 3.7279151943462896,
"config_test": false,
"has_... |
from functools import reduce
class IPv4Address(object):
def __init__(self, addr):
if isinstance(addr, IPv4Address):
self._raw = addr._raw
elif isinstance(addr, str):
self._raw = ip_to_int(addr)
elif isinstance(addr, int):
self._raw = addr
else:
... | {
"repo_name": "sourcesimian/vpn-porthole",
"path": "vpnporthole/ip.py",
"copies": "1",
"size": "2728",
"license": "mit",
"hash": 6528199585641708000,
"line_mean": 26.5555555556,
"line_max": 98,
"alpha_frac": 0.5201612903,
"autogenerated": false,
"ratio": 3.627659574468085,
"config_test": false,... |
from functools import reduce
class Solution:
def nextGreaterElement(self, n: int) -> int:
nums = [int(d) for d in str(n)]
# find the rightmost digit smaller than the next “534976” -> 9
i = len(nums) - 1
while i > 1:
if nums[i - 1] < nums[i]:
break
... | {
"repo_name": "l33tdaima/l33tdaima",
"path": "p556m/next_greater_element.py",
"copies": "1",
"size": "1272",
"license": "mit",
"hash": -3162866208163780600,
"line_mean": 28.2093023256,
"line_max": 71,
"alpha_frac": 0.4912420382,
"autogenerated": false,
"ratio": 3.0411622276029058,
"config_test"... |
from functools import reduce
def _list_errors(e):
"""
Returns a list of violated schema fragments and related error messages
:param e: ``jsonschema.exceptions.ValidationError`` instance
"""
error_list = []
for value, error in zip(e.validator_value, e.context):
error_list.append((value,... | {
"repo_name": "openwisp/netconfig-gen",
"path": "netjsonconfig/exceptions.py",
"copies": "2",
"size": "1209",
"license": "mit",
"hash": -5680948303670708000,
"line_mean": 23.6734693878,
"line_max": 74,
"alpha_frac": 0.6112489661,
"autogenerated": false,
"ratio": 4.1833910034602075,
"config_test... |
from functools import reduce
def normalize(aL):
def touppercase(L):
return L[0].upper() + L[1:].lower()
return map(touppercase, aL)
L = ['adam', 'LISA', 'barT']
print(list(normalize(L)))
def prod(L):
def star(x, y):
return x * y
return reduce(star, L)
print('3 * 5 * 7 * 9 =', prod([... | {
"repo_name": "zhayangtao/HelloPython",
"path": "python01/PythonFunction.py",
"copies": "1",
"size": "2986",
"license": "apache-2.0",
"hash": 427637658049744450,
"line_mean": 16.1616766467,
"line_max": 98,
"alpha_frac": 0.5132588974,
"autogenerated": false,
"ratio": 2.5796579657965797,
"config_... |
from functools import reduce
from numpy import uint16
from numpy import bool_
from query_result_list import QueryResultList
from data_record import DataRecord
from has_actions import HasActions
from session import Session
from filterable import Filterable
from has_documents import HasDocuments
from action import Ac... | {
"repo_name": "fire-uta/iiix-data-parser",
"path": "query.py",
"copies": "1",
"size": "8645",
"license": "mit",
"hash": 3045347485768151600,
"line_mean": 43.1071428571,
"line_max": 177,
"alpha_frac": 0.7101214575,
"autogenerated": false,
"ratio": 3.3533747090768036,
"config_test": false,
"has... |
from functools import reduce
# func 将函数名作为变量传入
def my_add(ax, bx, func):
return func(ax) + func(bx)
a, b = 5, -6
print(a, b, my_add(a, b, abs))
l1 = [1, 2, 3, 4, 5]
def add(ax, bx):
return ax + bx
def sq(iax):
return iax**2
# map函数入参为函数和Iterable, 出参是 Iterator,其中入参函数的参数列表为一个
# 作用为对Iterable逐个进行入参的函数处... | {
"repo_name": "lucd1990/self-learn-python",
"path": "middle/higher_order_function.py",
"copies": "1",
"size": "1938",
"license": "unlicense",
"hash": 1176498263243161900,
"line_mean": 19.3855421687,
"line_max": 117,
"alpha_frac": 0.5360520095,
"autogenerated": false,
"ratio": 1.9789473684210526,
... |
from functools import reduce
"""
Noções básicas de programação funcional em Python
Leitura complementar: http://nasemanadaprova.blogspot.com.br/2015/01/programacao-funcional-python.html
List Comprehension: http://www.python-course.eu/list_comprehension.php
Expressão lambda: http://blog.alienretro.com/entendendo-pytho... | {
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from functools import reduce
# Ref: MapReduce: Simplified Data Processing on Large Clusters (by Google)
# map()函数接收两个参数，一个是函数，一个是Iterable，map将传入的函数依次作用到序列的每个元素，并把结果作为新的Iterator返回
# map()函数作为高阶函数，体现的式对运算规则抽象的设计思想
def func(x):
return x ** 2
print(list(map(func, [1, 2, 3, 4, 5, 6])))
# reduce()函数接收两个参数，一个是函数，一个是... | {
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"config_test"... |
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