text stringlengths 0 1.05M | meta dict |
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from dvc import utils
from dvc.fs.local import LocalFileSystem
def test_file_md5_crlf(tmp_dir):
fs = LocalFileSystem()
tmp_dir.gen("cr", b"a\nb\nc")
tmp_dir.gen("crlf", b"a\r\nb\r\nc")
assert utils.file_md5("cr", fs) == utils.file_md5("crlf", fs)
def test_dict_md5():
d = {
"cmd": "python... | {
"repo_name": "efiop/dvc",
"path": "tests/func/test_utils.py",
"copies": "1",
"size": "1139",
"license": "apache-2.0",
"hash": -4824718057038003000,
"line_mean": 24.8863636364,
"line_max": 75,
"alpha_frac": 0.4591747147,
"autogenerated": false,
"ratio": 3.029255319148936,
"config_test": false,
... |
from dvc import utils
def test_file_md5_crlf(tmp_dir):
tmp_dir.gen("cr", b"a\nb\nc")
tmp_dir.gen("crlf", b"a\r\nb\r\nc")
assert utils.file_md5("cr")[0] == utils.file_md5("crlf")[0]
def test_dict_md5():
d = {
"cmd": "python code.py foo file1",
"locked": "true",
"outs": [
... | {
"repo_name": "dmpetrov/dataversioncontrol",
"path": "tests/func/test_utils.py",
"copies": "1",
"size": "1069",
"license": "apache-2.0",
"hash": -4954493157809188000,
"line_mean": 24.4523809524,
"line_max": 75,
"alpha_frac": 0.438727783,
"autogenerated": false,
"ratio": 2.977715877437326,
"conf... |
from dvc.logger import logger
from dvc.utils.compat import str
import os
import yaml
import shutil
import filecmp
import getpass
import posixpath
from subprocess import Popen, PIPE
import boto3
import uuid
import paramiko
from google.cloud import storage as gc
from flaky.flaky_decorator import flaky
from dvc.main im... | {
"repo_name": "dataversioncontrol/dvc",
"path": "tests/test_repro.py",
"copies": "1",
"size": "41514",
"license": "apache-2.0",
"hash": 5277854249803676000,
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"line_max": 79,
"alpha_frac": 0.5516934046,
"autogenerated": false,
"ratio": 3.561599176389842,
"config_test":... |
from dvc.main import main
from tests.basic_env import TestDvc
from tests.test_repro import TestRepro, TestReproChangedDeepData
import os
class TestPipelineShowSingle(TestDvc):
def setUp(self):
super(TestPipelineShowSingle, self).setUp()
self.stage = "foo.dvc"
self.dotFile = "graph.dot"
... | {
"repo_name": "dataversioncontrol/dvc",
"path": "tests/test_pipeline.py",
"copies": "1",
"size": "8038",
"license": "apache-2.0",
"hash": 1242128537849734700,
"line_mean": 28.1231884058,
"line_max": 79,
"alpha_frac": 0.5357053994,
"autogenerated": false,
"ratio": 3.6939338235294117,
"config_tes... |
from dvc.parsing import DataResolver, EntryDefinition, ForeachDefinition
from dvc.parsing.context import Context
TEMPLATED_DVC_YAML_DATA = {
"stages": {
"stage1": {
"cmd": "python script.py ${dict.foo} --out ${dict.bar}",
"outs": ["${dict.bar}"],
"deps": ["${dict.foo}"],... | {
"repo_name": "efiop/dvc",
"path": "tests/func/parsing/__init__.py",
"copies": "1",
"size": "1428",
"license": "apache-2.0",
"hash": 8130236260481851000,
"line_mean": 25.4444444444,
"line_max": 77,
"alpha_frac": 0.5210084034,
"autogenerated": false,
"ratio": 3.2528473804100226,
"config_test": f... |
from dvc.path.data_item import DataItem
class StatedDataItem(DataItem):
STATUS_UNTRACKED = '?'
STATUS_DELETE = 'D'
STATUS_MODIFIED = 'M'
STATUS_TYPE_CHANGED = 'T'
def __init__(self, state, data_file, git, config, cache_file=None):
super(StatedDataItem, self).__init__(data_file, git, confi... | {
"repo_name": "ophiry/dvc",
"path": "dvc/path/stated_data_item.py",
"copies": "1",
"size": "1064",
"license": "apache-2.0",
"hash": -6137785734417080000,
"line_mean": 26.2820512821,
"line_max": 80,
"alpha_frac": 0.625,
"autogenerated": false,
"ratio": 3.5115511551155114,
"config_test": false,
... |
from dvcs import DVCS
from subprocess import Popen, PIPE
class Git(DVCS):
def save_draft(self, message=None):
self.commit(message or "Saved via clyde.")
self.push(self.draft_branch)
def add_file(self, path, message=None):
cmd = Popen('git add "%s"' % path,
... | {
"repo_name": "sjl/hyde",
"path": "repos/git.py",
"copies": "54",
"size": "2145",
"license": "mit",
"hash": -8089011222007240000,
"line_mean": 35.3728813559,
"line_max": 94,
"alpha_frac": 0.5291375291,
"autogenerated": false,
"ratio": 4.181286549707602,
"config_test": false,
"has_no_keywords"... |
from dvc.utils.collections import apply_diff
class MyDict(dict):
pass
class MyInt(int):
pass
def test_apply_diff_is_inplace():
dest = MyDict()
dest.attr = 42
apply_diff({}, dest)
assert type(dest) is MyDict, "Preserves class"
assert dest.attr == 42, "Preserves custom attrs"
def test... | {
"repo_name": "dmpetrov/dataversioncontrol",
"path": "tests/unit/utils/test_collections.py",
"copies": "1",
"size": "1029",
"license": "apache-2.0",
"hash": 2490235817818141700,
"line_mean": 20,
"line_max": 62,
"alpha_frac": 0.5762876579,
"autogenerated": false,
"ratio": 3.118181818181818,
"con... |
from dvhb_hybrid.amodels import method_connect_once
class MPTTMixin:
"""
Add methods to work with models based on django MPTT model (https://github.com/django-mptt/django-mptt)
See also: https://www.sitepoint.com/hierarchical-data-database/
"""
parent_key = 'parent_id' # TODO: take it from djan... | {
"repo_name": "dvhbru/dvhb-hybrid",
"path": "dvhb_hybrid/amodels/mptt_mixin.py",
"copies": "1",
"size": "8129",
"license": "mit",
"hash": 8946347415787624000,
"line_mean": 38.4611650485,
"line_max": 107,
"alpha_frac": 0.6086849551,
"autogenerated": false,
"ratio": 3.758206195099399,
"config_tes... |
from dvhb_hybrid import utils
from dvhb_hybrid.amodels import Model, method_connect_once
from django.contrib.contenttypes.models import ContentType
from .enums import UserActionLogEntryType, UserActionLogEntrySubType, UserActionLogStatus
class BaseUserActionLogEntry(Model):
"""
Abstract action log entry async... | {
"repo_name": "dvhbru/dvhb-hybrid",
"path": "dvhb_hybrid/user_action_log/base_amodels.py",
"copies": "1",
"size": "6798",
"license": "mit",
"hash": -2557521880613084700,
"line_mean": 36.1475409836,
"line_max": 126,
"alpha_frac": 0.6231244484,
"autogenerated": false,
"ratio": 4.299810246679317,
... |
from dwarf.core.controller import CoreController
from .models import UserInfo
import time
core = CoreController()
class UtilitiesController:
def calculate_utc_offset(local_time):
"""Calculates UTC offset using local time.
Let's pretend this works as intended...
Parameters
... | {
"repo_name": "Dwarf-Community/Dwarf-Utilities",
"path": "controllers.py",
"copies": "1",
"size": "1857",
"license": "mit",
"hash": 4368041005567326000,
"line_mean": 27.5692307692,
"line_max": 90,
"alpha_frac": 0.5406569736,
"autogenerated": false,
"ratio": 4.328671328671328,
"config_test": fal... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
from dwarfsquad.model.ChromatogramMethod import ChromatogramMethod
from dwarfsquad.model.Calibration import Calibration
class CompoundMethod(BaseWebModel):
required_fields = {
"name": "",
"id": "",
... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/CompoundMethod.py",
"copies": "1",
"size": "1330",
"license": "mit",
"hash": 4999057239890577000,
"line_mean": 30.6666666667,
"line_max": 104,
"alpha_frac": 0.6436090226,
"autogenerated": false,
"ratio": 3.8439306358381504,
"co... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
from dwarfsquad.model.ReductionMethod import ReductionMethod
from dwarfsquad.model.PeakIntegration import PeakIntegration
class ChromatogramMethod(BaseWebModel):
required_fields = {
"name": "",
"id"... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/ChromatogramMethod.py",
"copies": "1",
"size": "1447",
"license": "mit",
"hash": -8192334721702542000,
"line_mean": 31.8863636364,
"line_max": 73,
"alpha_frac": 0.6641326883,
"autogenerated": false,
"ratio": 3.9972375690607733,
... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
from dwarfsquad.model.RetentionTime import RetentionTime
from dwarfsquad.model.Smoothing import Smoothing
from dwarfsquad.model.Threshold import Threshold
class PeakIntegration(BaseWebModel):
required_fields = {
... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/PeakIntegration.py",
"copies": "1",
"size": "1630",
"license": "mit",
"hash": -9094565142045026000,
"line_mean": 32.2653061224,
"line_max": 76,
"alpha_frac": 0.6674846626,
"autogenerated": false,
"ratio": 3.908872901678657,
"co... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
class Calibration(BaseWebModel):
required_fields = {
"enabled": False,
"degree": "linear",
"weighting": "none",
"origin": "ignore",
"responses": [],
"normalizers": []... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/Calibration.py",
"copies": "1",
"size": "1802",
"license": "mit",
"hash": -2549218998091720000,
"line_mean": 30.6140350877,
"line_max": 109,
"alpha_frac": 0.5849056604,
"autogenerated": false,
"ratio": 3.9604395604395606,
"conf... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
class DisplaySettings(BaseWebModel):
required_fields = {
'peak_area_format': 'decimal_format',
'concentration_format': 'decimal_format',
'response_format': 'decimal_format',
'review... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/DisplaySettings.py",
"copies": "1",
"size": "1562",
"license": "mit",
"hash": -3629649456433969700,
"line_mean": 35.3255813953,
"line_max": 77,
"alpha_frac": 0.628681178,
"autogenerated": false,
"ratio": 4.005128205128205,
"con... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
class QaRuleSchema(BaseWebModel):
required_fields = {
"name": "",
"display_name": "",
"description": "",
"rule_parameters": []
}
@classmethod
def __str__(cls):
r... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/QaRuleSchema.py",
"copies": "1",
"size": "1301",
"license": "mit",
"hash": -4838753989209849000,
"line_mean": 26.1041666667,
"line_max": 92,
"alpha_frac": 0.5849346656,
"autogenerated": false,
"ratio": 3.9424242424242424,
"conf... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
class ReductionMethod(BaseWebModel):
required_fields = {
"activation_energy": "",
"polarity": "unspecified",
"lower_precursor_mass": "",
"upper_precursor_mass": "",
"lower_pr... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/ReductionMethod.py",
"copies": "1",
"size": "2349",
"license": "mit",
"hash": -6475785909928231000,
"line_mean": 31.625,
"line_max": 78,
"alpha_frac": 0.5955725841,
"autogenerated": false,
"ratio": 3.961214165261383,
"config_te... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
class Smoothing(BaseWebModel):
required_fields = {
"optimal_enabled": True,
"fixed": "",
"min": "4",
"max": "22",
"start": "8"
}
@classmethod
def __str__(cls):
... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/Smoothing.py",
"copies": "1",
"size": "1308",
"license": "mit",
"hash": 4265555969325408000,
"line_mean": 24.1538461538,
"line_max": 76,
"alpha_frac": 0.5275229358,
"autogenerated": false,
"ratio": 3.7264957264957266,
"config_t... |
from dwarfsquad.lib.compat import join_dicts
from dwarfsquad.model.BaseWebModel import BaseWebModel
class Threshold(BaseWebModel):
required_fields = {
"absolute_area": "1",
"relative_area": "0.01",
"absolute_height": "100",
"relative_height": "0.01",
"signal_to_noise": "3",... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/model/Threshold.py",
"copies": "1",
"size": "3653",
"license": "mit",
"hash": 7615707665333048000,
"line_mean": 33.4622641509,
"line_max": 78,
"alpha_frac": 0.5956747878,
"autogenerated": false,
"ratio": 3.8412197686645637,
"config_t... |
from dwarfsquad.lib import utils
from dwarfsquad.lib.rest_api import get
from dwarfsquad.lib import urls
def download_batch(url, data, credentials):
assert isinstance(data, str)
batch_id = None
batch_name = None
batches = get(urls.batches_json(url) + "?search=" + data, credentials).json()
if uti... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/lib/download/download_batch.py",
"copies": "1",
"size": "1523",
"license": "mit",
"hash": 250486280298823840,
"line_mean": 34.4186046512,
"line_max": 81,
"alpha_frac": 0.5830597505,
"autogenerated": false,
"ratio": 3.885204081632653,
... |
from dwarfsquad.lib.utils import assert_assay_configuration
def find_orphan_compounds_in_level(orphan_compounds, compound_method_names, lot):
lots_levels_status = []
for level in lot.levels:
lots_levels_status.append("\tCompounds without methods in Lot/Level: " + lot.name + "/" + level.name)
f... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/lib/check/helpers/check_lots_and_levels.py",
"copies": "1",
"size": "2914",
"license": "mit",
"hash": -6500962621375861000,
"line_mean": 40.0422535211,
"line_max": 117,
"alpha_frac": 0.6832532601,
"autogenerated": false,
"ratio": 3.416... |
from dwarfsquad.lib.utils import to_stderr
import os
from dwarfsquad.lib.build.from_export.helpers.csv_helper import read_csv
def get_rulesettings_csv(path_to_export):
export_dir = os.path.abspath(path_to_export)
rulesettings_csv = os.path.join(export_dir, 'rulesettings.csv')
try:
assert os.path.... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/lib/build/from_export/helpers/rulesettings_helper.py",
"copies": "1",
"size": "1770",
"license": "mit",
"hash": 6022625729897839000,
"line_mean": 35.1224489796,
"line_max": 119,
"alpha_frac": 0.5700564972,
"autogenerated": false,
"rati... |
from dwarfsquad.model.Lot import Lot
from dwarfsquad.model.Level import Level
from dwarfsquad.model.Level import ControlMaterial
from dwarfsquad.model.Lot import LotCompound
def build_lots_and_levels(lotslevels_csv):
lots = []
for row in lotslevels_csv:
lot_index, lot = get_lot(lots, row)
lot... | {
"repo_name": "whereskenneth/Dwarfsquad",
"path": "dwarfsquad/lib/build/from_export/build_lots_and_levels.py",
"copies": "1",
"size": "2185",
"license": "mit",
"hash": -4760602027487451000,
"line_mean": 28.527027027,
"line_max": 83,
"alpha_frac": 0.6594965675,
"autogenerated": false,
"ratio": 3.6... |
from dwca.darwincore.utils import qualname as qn
from meuh.assessments.base import Assessment
from meuh.assessments.logging import MessageLevels, MessageTypes
class KnownKingdomAssessment(Assessment):
ACCEPTED = {'cavalier-smith': set(['animalia', 'fungi', 'plantae', 'chromista', 'protozoa',
... | {
"repo_name": "BelgianBiodiversityPlatform/meuh",
"path": "assessments/knownkingdom.py",
"copies": "1",
"size": "2250",
"license": "bsd-3-clause",
"hash": 7641585935558965000,
"line_mean": 45.875,
"line_max": 122,
"alpha_frac": 0.5951111111,
"autogenerated": false,
"ratio": 3.8461538461538463,
... |
from dwitter.models import Comment, Dweet
from django.shortcuts import render
from dwitter.permissions import IsAuthorOrReadOnly
from dwitter.serializers import CommentSerializer, DweetSerializer
from dwitter.serializers import UserSerializer
from django.utils import timezone
from django.contrib.auth.models import User... | {
"repo_name": "lionleaf/dwitter",
"path": "dwitter/views.py",
"copies": "1",
"size": "1889",
"license": "apache-2.0",
"hash": -7358355168690136000,
"line_mean": 33.9814814815,
"line_max": 77,
"alpha_frac": 0.7310746427,
"autogenerated": false,
"ratio": 4.273755656108597,
"config_test": false,
... |
from dwollav2.auth import auth_for
from dwollav2.token import token_for
from dwollav2.version import version
import requests
class Client:
ENVIRONMENTS = {
'production': {
'auth_url': 'https://accounts.dwolla.com/auth',
'token_url': 'https://api.dwolla.com/token',
'ap... | {
"repo_name": "Dwolla/dwolla-v2-python",
"path": "dwollav2/client.py",
"copies": "1",
"size": "1889",
"license": "mit",
"hash": -6935874785001524000,
"line_mean": 31.5689655172,
"line_max": 68,
"alpha_frac": 0.5971413446,
"autogenerated": false,
"ratio": 3.550751879699248,
"config_test": false,... |
from dx.dex import ByteStream
from dx.dex import dxlib
#DexParser
class DexParser(object):
def __init__(self,filename):
if filename == None: raise(Exception("Null File Name."))
self.bs = ByteStream(filename)
def seek(self,offset):
self.bs.seek(offset)
def item(self,ite... | {
"repo_name": "strazzere/dexterity",
"path": "examples/dexpy_parse.py",
"copies": "2",
"size": "9730",
"license": "bsd-3-clause",
"hash": -3773553520655836000,
"line_mean": 43.2272727273,
"line_max": 86,
"alpha_frac": 0.5976361768,
"autogenerated": false,
"ratio": 3.561493411420205,
"config_tes... |
from dxfwrite import DXFEngine as dxf
import csv
import math
import pdb
import os
import sys
# ######### Declaration ##########
points = []
data = []
area = 0
blockList = []
inner_height = 0
extraCuttingAreaL = 0
extraFillingAreaL = 0
extraCuttingAreaR = 0
extraFillingAreaR = 0
# Getting filename with which the file... | {
"repo_name": "mandeeps708/PyDrain",
"path": "pyDrain.py",
"copies": "1",
"size": "27161",
"license": "mit",
"hash": 5683376921116357000,
"line_mean": 37.2549295775,
"line_max": 105,
"alpha_frac": 0.4957843967,
"autogenerated": false,
"ratio": 3.7998041410184666,
"config_test": false,
"has_no... |
from dxfwrite import DXFEngine as dxf
from .format import Format
class DXF(Format):
_drawing = None
def encode(self, features, **kwargs):
tmpFile = kwargs["tmpFile"]
if len(features) > 0:
self._drawing = dxf.drawing(tmpFile)
self._drawing.add_layer("... | {
"repo_name": "pusateri/vectorformats",
"path": "vectorformats/formats/dxf.py",
"copies": "2",
"size": "1362",
"license": "mit",
"hash": -7822014826575531000,
"line_mean": 29.2666666667,
"line_max": 125,
"alpha_frac": 0.5381791483,
"autogenerated": false,
"ratio": 4.54,
"config_test": false,
... |
from dxlib import DexEncodedArray
from dxlib import DexEncodedAnnotation
from ctypes import cast
from ctypes import POINTER, c_char_p, c_uint32
class DexPrinter (object):
def __init__(self,meta_verbose=False):
self.meta_verbose = meta_verbose
def max_attr(self,obj):
return max([len(i[0]) for i... | {
"repo_name": "strazzere/dexterity",
"path": "dx/printer.py",
"copies": "2",
"size": "19475",
"license": "bsd-3-clause",
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"line_max": 86,
"alpha_frac": 0.5888061617,
"autogenerated": false,
"ratio": 3.255600133734537,
"config_test": false,... |
from dxlib import dxlib
from dxlib import _Dex
from bytestream import ByteStream
class Dex(object):
def __init__(self,filename):
if filename == None:
raise(Exception("Null File Name."))
self.bs = ByteStream(filename)
self._dex = dxlib.dx_parse(self.bs._bs)
... | {
"repo_name": "rchiossi/dexterity",
"path": "dx/dex.py",
"copies": "2",
"size": "3582",
"license": "bsd-3-clause",
"hash": -3840052175483389000,
"line_mean": 35.5510204082,
"line_max": 84,
"alpha_frac": 0.6286990508,
"autogenerated": false,
"ratio": 3.629179331306991,
"config_test": false,
"h... |
from dxr.lines import Ref
from dxr.plugins.xpidl.filters import PLUGIN_NAME
from dxr.plugins.xpidl.menus import (filtered_search_menu, typedecl_menu, subclass_menu, type_menu,
vardecl_menu, var_menu, function_menu, functiondecl_menu,
include_menu... | {
"repo_name": "bozzmob/dxr",
"path": "dxr/plugins/xpidl/refs.py",
"copies": "9",
"size": "1934",
"license": "mit",
"hash": -158445435174427680,
"line_mean": 31.2333333333,
"line_max": 99,
"alpha_frac": 0.6866597725,
"autogenerated": false,
"ratio": 3.5682656826568264,
"config_test": false,
"h... |
from dxr.plugins.clang.tests import CSingleFileTestCase, MINIMAL_MAIN
class MemberVariableTests(CSingleFileTestCase):
source = """
class MemberVariable {
public:
int member_variable;
};
""" + MINIMAL_MAIN
def test_member_variable(self):
"""Test sear... | {
"repo_name": "pelmers/dxr",
"path": "dxr/plugins/clang/tests/test_members.py",
"copies": "5",
"size": "5520",
"license": "mit",
"hash": 5619938877709736000,
"line_mean": 33.7169811321,
"line_max": 109,
"alpha_frac": 0.5054347826,
"autogenerated": false,
"ratio": 4.299065420560748,
"config_test... |
from dxr.testing import DxrInstanceTestCase, menu_on
SEARCH = '/code/search?q=%s%%3A%s'
class IdlMenusTest(DxrInstanceTestCase):
"""Test that menu links point to the right places."""
def test_include(self):
menu_on(self.source_page("nsIDownloadHistory.idl"), 'nsISupports.idl',
{'html... | {
"repo_name": "pelmers/dxr",
"path": "dxr/plugins/xpidl/tests/test_menus_and_filters/test_menus.py",
"copies": "9",
"size": "1923",
"license": "mit",
"hash": 3168265515574558700,
"line_mean": 45.9024390244,
"line_max": 96,
"alpha_frac": 0.5813832553,
"autogenerated": false,
"ratio": 3.46486486486... |
from dxr.testing import DxrInstanceTestCase
class FieldsTests(DxrInstanceTestCase):
def test_qual_field(self):
self.found_line_eq('+var:test::SomeFields::field1', "<b>field1</b>: i32,", 9)
self.found_line_eq('+var:test::SomeFields::field2', "<b>field2</b>: NoFields,", 10)
def test_qual_enum_fi... | {
"repo_name": "gartung/dxr",
"path": "dxr/plugins/rust/tests/test_data/test_fields.py",
"copies": "2",
"size": "11696",
"license": "mit",
"hash": -608101755345044600,
"line_mean": 75.4444444444,
"line_max": 156,
"alpha_frac": 0.4257010944,
"autogenerated": false,
"ratio": 3.397037467325007,
"co... |
from dxr.testing import DxrInstanceTestCase
class VarTests(DxrInstanceTestCase):
def test_var_def(self):
self.found_line_eq('var:a', "let <b>a</b> = 32i32;", 31)
self.found_line_eq('var:w', "<b>w</b> @ _ => {", 24)
self.found_line_eq('var:z', "<b>z</b> => {", 18)
def test_arg_def... | {
"repo_name": "bozzmob/dxr",
"path": "dxr/plugins/rust/tests/test_vars/test_vars.py",
"copies": "2",
"size": "1744",
"license": "mit",
"hash": -9185002560865522000,
"line_mean": 48.8285714286,
"line_max": 85,
"alpha_frac": 0.4306192661,
"autogenerated": false,
"ratio": 2.606875934230194,
"confi... |
from dxr.testing import DxrInstanceTestCase
from nose.tools import eq_, ok_
class BasicTests(DxrInstanceTestCase):
"""Tests for functionality that isn't specific to particular filters"""
def test_text(self):
"""Assert that a plain text search works."""
self.found_files_eq('main', ['main.c', ... | {
"repo_name": "bozzmob/dxr",
"path": "tests/test_basic/test_basic.py",
"copies": "2",
"size": "3192",
"license": "mit",
"hash": -397280858275856450,
"line_mean": 31.9072164948,
"line_max": 76,
"alpha_frac": 0.5354010025,
"autogenerated": false,
"ratio": 4.081841432225064,
"config_test": true,
... |
from dxr.testing import SingleFileTestCase, MINIMAL_MAIN
class MacroRefTests(SingleFileTestCase):
"""Tests for ``+macro-ref`` queries"""
source = """
#define MACRO
#ifdef MACRO
#endif
#ifndef MACRO
#endif
#if defined(MACRO)
#endif
#u... | {
"repo_name": "srenatus/dxr",
"path": "tests/test_macros.py",
"copies": "4",
"size": "3338",
"license": "mit",
"hash": 3807716636934039600,
"line_mean": 26.8166666667,
"line_max": 79,
"alpha_frac": 0.4601557819,
"autogenerated": false,
"ratio": 3.4590673575129536,
"config_test": true,
"has_no... |
from dxr.testing import SingleFileTestCase, MINIMAL_MAIN
class MacroTests(SingleFileTestCase):
"""Tests for ``macro`` queries"""
source = """
#define MACRO
#define ADD(x, y) ((x) + (y))
""" + MINIMAL_MAIN
def test_simple(self):
"""Make sure macro definitions are found.""... | {
"repo_name": "gartung/dxr",
"path": "dxr/plugins/clang/tests/test_macros.py",
"copies": "2",
"size": "3849",
"license": "mit",
"hash": -3087872005937273300,
"line_mean": 26.8913043478,
"line_max": 79,
"alpha_frac": 0.4733697064,
"autogenerated": false,
"ratio": 3.4613309352517985,
"config_test... |
from dxtbx.model.experiment_list import Experiment, ExperimentList
from dials.algorithms.indexing.indexer import Indexer
class IndexerKnownOrientation(Indexer):
def __init__(self, reflections, experiments, params, known_orientations):
self.known_orientations = known_orientations
super().__init__(... | {
"repo_name": "dials/dials",
"path": "algorithms/indexing/known_orientation.py",
"copies": "1",
"size": "1194",
"license": "bsd-3-clause",
"hash": 3052065936755539000,
"line_mean": 37.5161290323,
"line_max": 77,
"alpha_frac": 0.5787269682,
"autogenerated": false,
"ratio": 4.279569892473118,
"co... |
from dxtbx.model.experiment_list import ExperimentListFactory
from scitbx import matrix
from dials.algorithms.integration import Corrections, CorrectionsMulti
from dials.array_family import flex
def test_run(dials_data):
filename = dials_data("centroid_test_data").join("experiments.json").strpath
exlist = E... | {
"repo_name": "dials/dials",
"path": "tests/algorithms/integration/test_corrections.py",
"copies": "1",
"size": "1512",
"license": "bsd-3-clause",
"hash": -8049187035473998000,
"line_mean": 28.0769230769,
"line_max": 84,
"alpha_frac": 0.6375661376,
"autogenerated": false,
"ratio": 2.9021113243762... |
from dxtbx.model import ExperimentList
from xia2.Schema import load_reference_geometries, compare_geometries
def test_load_reference_geometries(dials_data):
"""
Test `xia2.Schema.load_reference_geometries`.
Test the function that finds the set of unique instrument models from a list
of experiment lis... | {
"repo_name": "xia2/xia2",
"path": "tests/Schema/test_Schema.py",
"copies": "1",
"size": "1126",
"license": "bsd-3-clause",
"hash": 1099677143206083500,
"line_mean": 44.04,
"line_max": 88,
"alpha_frac": 0.7229129663,
"autogenerated": false,
"ratio": 3.597444089456869,
"config_test": false,
"h... |
from dynaconf import LazySettings
from dynaconf.utils import RENAMED_VARS
# 0 given a bare settings
settings = LazySettings(environments=True)
# 1 Ensure all renamed vars exists in object
for old, new in RENAMED_VARS.items():
assert old in settings
assert new in settings
# 2 Ensure pairs has the same value
... | {
"repo_name": "rochacbruno/dynaconf",
"path": "example/compat.py",
"copies": "1",
"size": "2770",
"license": "mit",
"hash": -8225005520965477000,
"line_mean": 27.8541666667,
"line_max": 62,
"alpha_frac": 0.7104693141,
"autogenerated": false,
"ratio": 2.8854166666666665,
"config_test": false,
... |
from dynaconf import LazySettings
settings = LazySettings(
environments=True,
ENV_FOR_DYNACONF="example",
ENVVAR_PREFIX_FOR_DYNACONF="PROGRAM",
load_dotenv=True,
settings_files="settings.toml;.secrets.toml",
)
print(settings.USERNAME)
print(settings.SERVER)
print(settings.PASSWORD)
assertions = ... | {
"repo_name": "rochacbruno/dynaconf",
"path": "example/toml_with_secrets/program.py",
"copies": "1",
"size": "1295",
"license": "mit",
"hash": -8426366028053750000,
"line_mean": 28.4318181818,
"line_max": 77,
"alpha_frac": 0.6640926641,
"autogenerated": false,
"ratio": 3.2133995037220844,
"conf... |
from dynaconf import settings
print(
f"# 1 all values in {settings.DEFAULT_ENV_FOR_DYNACONF}"
f"{settings.current_env}: env of yaml file:"
)
assert settings.current_env == "DEVELOPMENT"
print("HOST::", settings.HOST)
print("PORT:", settings.PORT)
print("USERNAME:", settings.USERNAME)
print("PASSWORD:", settin... | {
"repo_name": "rochacbruno/dynaconf",
"path": "example/envs/app.py",
"copies": "1",
"size": "4853",
"license": "mit",
"hash": 2067014256430481200,
"line_mean": 33.6642857143,
"line_max": 71,
"alpha_frac": 0.7141974037,
"autogenerated": false,
"ratio": 3.283491204330176,
"config_test": true,
"... |
from dynaconf import settings
print("Read from settings.py:", settings.PYTHON_VAR) # noqa
# BY DEFAULT 'development' is the current env
print("Read from development_settings.py:", settings.PYTHON_DEV_VAR) # noqa
# If ENV_FOR_DYNACONF=production is in envvars so
# print("Read from production_settings.py:", settings... | {
"repo_name": "rochacbruno/dynaconf",
"path": "example/multiple_sources/app.py",
"copies": "1",
"size": "1469",
"license": "mit",
"hash": 6942934247941992000,
"line_mean": 33.9761904762,
"line_max": 78,
"alpha_frac": 0.6820966644,
"autogenerated": false,
"ratio": 3.1934782608695653,
"config_tes... |
from dynaconf.utils import build_env_list
from dynaconf.utils import upperfy
from dynaconf.utils.parse_conf import parse_conf_data
from dynaconf.utils.parse_conf import unparse_conf_data
try:
from redis import StrictRedis
except ImportError:
StrictRedis = None
IDENTIFIER = "redis"
def load(obj, env=None, si... | {
"repo_name": "rochacbruno/dynaconf",
"path": "dynaconf/loaders/redis_loader.py",
"copies": "1",
"size": "3493",
"license": "mit",
"hash": 7390046726316453000,
"line_mean": 31.9528301887,
"line_max": 78,
"alpha_frac": 0.5986258231,
"autogenerated": false,
"ratio": 3.731837606837607,
"config_tes... |
from dynamic_class import Singleton
class NotEventException(Exception):
pass
class GlobalEventDispatcher(object):
"""not quite there yet"""
__metaclass__ = Singleton
def __init__(self):
pass
def event(method):
"""Must be called first in a decorator chain, otherwise we lose the correct n... | {
"repo_name": "akatrevorjay/speakerbot",
"path": "speakerbot/listenable.py",
"copies": "2",
"size": "4231",
"license": "mit",
"hash": 1960386818708243000,
"line_mean": 30.5820895522,
"line_max": 150,
"alpha_frac": 0.6164027417,
"autogenerated": false,
"ratio": 4.269424823410696,
"config_test": ... |
from dynamiccluster.utilities import getLogger
from dynamiccluster.data import Instance
log = getLogger(__name__)
class ConfigChecker(object):
def check(self, **kwargs):
assert 0, 'Must define check'
class PortChecker(ConfigChecker):
"""
Check if a port is opened.
"""
def __init__... | {
"repo_name": "eResearchSA/dynamiccluster",
"path": "dynamiccluster/config_checker.py",
"copies": "1",
"size": "1210",
"license": "apache-2.0",
"hash": 5387514940329674000,
"line_mean": 34.5882352941,
"line_max": 94,
"alpha_frac": 0.6033057851,
"autogenerated": false,
"ratio": 3.9802631578947367,... |
from ..DynamicDiffusionModel import DynamicDiffusionModel
import numpy as np
import networkx as nx
import future.utils
from scipy import stats
__author__ = "Letizia Milli"
__license__ = "BSD-2-Clause"
__email__ = "letizia.milli@isti.cnr.it"
class DynProfileModel(DynamicDiffusionModel):
"""
Node Para... | {
"repo_name": "GiulioRossetti/ndlib",
"path": "ndlib/models/dynamic/DynProfileModel.py",
"copies": "1",
"size": "4606",
"license": "bsd-2-clause",
"hash": -8355660450341874000,
"line_mean": 35.848,
"line_max": 105,
"alpha_frac": 0.4696048632,
"autogenerated": false,
"ratio": 4.5739821251241315,
... |
from ..DynamicDiffusionModel import DynamicDiffusionModel
import numpy as np
import networkx as nx
import future.utils
__author__ = "Giulio Rossetti"
__license__ = "BSD-2-Clause"
__email__ = "giulio.rossetti@gmail.com"
class DynSIModel(DynamicDiffusionModel):
"""
Model Parameters to be specified via ModelCon... | {
"repo_name": "GiulioRossetti/ndlib",
"path": "ndlib/models/dynamic/DynSIModel.py",
"copies": "1",
"size": "4144",
"license": "bsd-2-clause",
"hash": 3092132562520736300,
"line_mean": 35.6725663717,
"line_max": 97,
"alpha_frac": 0.5127895753,
"autogenerated": false,
"ratio": 4.185858585858586,
... |
from dynamic_graph import plug
from dynamic_graph.sot.core.feature_visual_point import FeatureVisualPoint
from dynamic_graph.sot.core.gain_adaptive import GainAdaptive
from dynamic_graph.sot.core.meta_tasks import setGain
from dynamic_graph.sot.core.op_point_modifier import OpPointModifier
from dynamic_graph.sot.core.t... | {
"repo_name": "stack-of-tasks/sot-core",
"path": "src/dynamic_graph/sot/core/meta_task_visual_point.py",
"copies": "1",
"size": "4129",
"license": "bsd-2-clause",
"hash": 8815918265346295000,
"line_mean": 34.2905982906,
"line_max": 97,
"alpha_frac": 0.6369581012,
"autogenerated": false,
"ratio": ... |
from dynamic_graph import plug
from dynamic_graph.sot.core import Flags
from dynamic_graph.sot.core.feature_generic import FeatureGeneric
from dynamic_graph.sot.core.gain_adaptive import GainAdaptive
from dynamic_graph.sot.core.matrix_util import matrixToTuple, vectorToTuple
from dynamic_graph.sot.core.meta_task_6d imp... | {
"repo_name": "stack-of-tasks/sot-core",
"path": "src/dynamic_graph/sot/core/meta_task_posture.py",
"copies": "1",
"size": "3171",
"license": "bsd-2-clause",
"hash": -6224708553671255000,
"line_mean": 33.0967741935,
"line_max": 95,
"alpha_frac": 0.5878271839,
"autogenerated": false,
"ratio": 3.43... |
from dynamic_graph import plug
from dynamic_graph.sot.core import Flags
from dynamic_graph.sot.core.feature_point6d import FeaturePoint6d
from dynamic_graph.sot.core.gain_adaptive import GainAdaptive
from dynamic_graph.sot.core.op_point_modifier import OpPointModifier
from dynamic_graph.sot.core.task import Task
def ... | {
"repo_name": "stack-of-tasks/sot-core",
"path": "src/dynamic_graph/sot/core/meta_task_6d.py",
"copies": "1",
"size": "3635",
"license": "bsd-2-clause",
"hash": 8723554509462735000,
"line_mean": 33.9519230769,
"line_max": 94,
"alpha_frac": 0.6412654746,
"autogenerated": false,
"ratio": 3.47182425... |
from dynamic_graph import plug
from dynamic_graph.sot.core import Flags
from dynamic_graph.sot.core.feature_point6d_relative import FeaturePoint6dRelative
from dynamic_graph.sot.core.matrix_util import matrixToTuple
from dynamic_graph.sot.core.meta_task_6d import MetaTask6d, toFlags # noqa kept for backward compatibil... | {
"repo_name": "stack-of-tasks/sot-core",
"path": "src/dynamic_graph/sot/core/meta_tasks_kine_relative.py",
"copies": "1",
"size": "5587",
"license": "bsd-2-clause",
"hash": -4621200687946365000,
"line_mean": 39.7810218978,
"line_max": 111,
"alpha_frac": 0.7091462323,
"autogenerated": false,
"rati... |
from dynamic_graph import plug
from .selector import Selector as Base
print("With meta selector")
# Define a new constructor for the selector entity. The basic Selector(name)
# constructor is still valid.
# Typical use below:
# % selecSupportFoot = Selector('selecSupportFoot'
# % ,['mat... | {
"repo_name": "stack-of-tasks/sot-pattern-generator",
"path": "src/dynamic_graph/sot/pattern_generator/meta_selector.py",
"copies": "1",
"size": "1090",
"license": "isc",
"hash": -2024686076165806600,
"line_mean": 33.0625,
"line_max": 89,
"alpha_frac": 0.5165137615,
"autogenerated": false,
"ratio... |
from dynamic import DynamicDict
class Document(object):
def __init__(self, attrs, parent=None, traits=[]):
self.attrs = attrs
self.parent = parent
self.traits = traits
class Trait(object):
def __init__(self, attrs, parent=None):
self.attrs = attrs
self.parent = parent
... | {
"repo_name": "gamechanger/monufacture",
"path": "monufacture/factory.py",
"copies": "1",
"size": "5056",
"license": "mit",
"hash": 6951514233378143000,
"line_mean": 31,
"line_max": 107,
"alpha_frac": 0.6145174051,
"autogenerated": false,
"ratio": 4.40418118466899,
"config_test": false,
"has_... |
from dynamicNode import DynamicNode
import dynamicNode
reload(dynamicNode)
import pydot
###################
#DynamicNode class got lost, but you should be able still to understand the overall code,
# for what I can recall the node was nothing more than a data holder , no special method
#added to it, so by the code you ... | {
"repo_name": "giordi91/python_misc",
"path": "graphs/unionFind.py",
"copies": "1",
"size": "5852",
"license": "mit",
"hash": 5332732196141575000,
"line_mean": 25.7214611872,
"line_max": 126,
"alpha_frac": 0.4875256323,
"autogenerated": false,
"ratio": 3.7803617571059434,
"config_test": false,
... |
from dynamicNode import DynamicNode
import dynamicNode
reload(dynamicNode)
import pydot
###################
#DynamicNode class got lost, but you should be able still to understand the overall code,
# for what I can recall the node was nothing more than a data holder , no special method
#added to it, so by the code you... | {
"repo_name": "giordi91/python_misc",
"path": "graphs/quickFind.py",
"copies": "1",
"size": "4980",
"license": "mit",
"hash": -640872672047234200,
"line_mean": 25.6310160428,
"line_max": 122,
"alpha_frac": 0.5036144578,
"autogenerated": false,
"ratio": 3.719193427931292,
"config_test": false,
... |
from .dynamic_pool import DynamicPool, xenon_interactive_worker
from ..scheduler import Scheduler
from ..job_keeper import JobKeeper
from ...workflow import (get_workflow)
from copy import copy
def run_xenon_simple(workflow, machine, worker_config):
"""Run a workflow using a single Xenon remote worker.
:pa... | {
"repo_name": "NLeSC/noodles",
"path": "noodles/run/xenon/runner.py",
"copies": "1",
"size": "1742",
"license": "apache-2.0",
"hash": -9114689045179351000,
"line_mean": 29.5614035088,
"line_max": 77,
"alpha_frac": 0.6848450057,
"autogenerated": false,
"ratio": 3.9322799097065464,
"config_test":... |
from dynamic_preferences.types import *
from dynamic_preferences import global_preferences_registry, user_preferences_registry
@global_preferences_registry.register
class RegistrationAllowed(BooleanPreference):
"""
Are new registrations allowed ?
"""
section = "auth"
name = "registration_allowed"
... | {
"repo_name": "willseward/django-dynamic-preferences",
"path": "example/example/dynamic_preferences_registry.py",
"copies": "1",
"size": "1645",
"license": "bsd-3-clause",
"hash": 6309177182128429000,
"line_mean": 21.8472222222,
"line_max": 86,
"alpha_frac": 0.673556231,
"autogenerated": false,
"... |
from dynamic_preferences.types import *
from dynamic_preferences.registries import global_preferences_registry
from dynamic_preferences.users.registries import user_preferences_registry
from .models import MyModel
_section = Section("section")
@global_preferences_registry.register
class RegistrationAllowed(BooleanPr... | {
"repo_name": "EliotBerriot/django-dynamic-preferences",
"path": "example/example/dynamic_preferences_registry.py",
"copies": "1",
"size": "2321",
"license": "bsd-3-clause",
"hash": -415613910027314200,
"line_mean": 20.8962264151,
"line_max": 74,
"alpha_frac": 0.6708315381,
"autogenerated": false,
... |
from dynamic_preferences.types import *
from dynamic_preferences.registries import global_preferences_registry
from dynamic_preferences.users.registries import user_preferences_registry
@global_preferences_registry.register
class RegistrationAllowed(BooleanPreference):
"""
Are new registrations allowed ?
... | {
"repo_name": "haroon-sheikh/django-dynamic-preferences",
"path": "example/example/dynamic_preferences_registry.py",
"copies": "1",
"size": "1802",
"license": "bsd-3-clause",
"hash": -7948210462633630000,
"line_mean": 20.9756097561,
"line_max": 74,
"alpha_frac": 0.6781354051,
"autogenerated": false... |
from dynamic_preferences.types import StringPreference, IntegerPreference, BooleanPreference, Section
from dynamic_preferences.registries import global_preferences_registry
from dynamic_preferences.preferences import Section
from django.conf import settings
general_section = Section('general')
homepage_section = Sect... | {
"repo_name": "sitture/trade-motors",
"path": "src/vehicles/dynamic_preferences_registry.py",
"copies": "1",
"size": "1695",
"license": "mit",
"hash": -2876332997482406400,
"line_mean": 30.3888888889,
"line_max": 101,
"alpha_frac": 0.7439528024,
"autogenerated": false,
"ratio": 4.114077669902913,... |
from dynamicresponse.response import render_to_response, RequestContext
from core.notifications.models import Notification
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from django.http import HttpResponse
@login_required
def widget(req):
return ren... | {
"repo_name": "kave/collab",
"path": "core/notifications/views.py",
"copies": "5",
"size": "1063",
"license": "cc0-1.0",
"hash": 2248715958102678500,
"line_mean": 31.2121212121,
"line_max": 72,
"alpha_frac": 0.665098777,
"autogenerated": false,
"ratio": 4.662280701754386,
"config_test": false,
... |
from dynamic_rest.fields import DynamicComputedField
from dynamic_rest.serializers import (
DynamicModelSerializer,
DynamicRelationField
)
from restapi.models import (
CasProtein,
Locus,
LocusSpacerRepeat,
Organism,
OrganismCasProtein,
OrganismSelfSpacer,
Spacer,
Repeat
)
clas... | {
"repo_name": "goyalsid/phageParser",
"path": "restapi/serializers.py",
"copies": "3",
"size": "3508",
"license": "mit",
"hash": 2637863936201515000,
"line_mean": 29.5043478261,
"line_max": 77,
"alpha_frac": 0.6624857469,
"autogenerated": false,
"ratio": 3.884828349944629,
"config_test": false,... |
from dynamic_rest import fields as fields
from dynamic_rest import routers as routers
from dynamic_rest import serializers as serializers
from dynamic_rest import viewsets as viewsets
from .models import Group, Permission, User
# DREST
# DREST serializers
class UserSerializer(serializers.DynamicModelSerializer):
... | {
"repo_name": "sanoma/dynamic-rest",
"path": "benchmarks/drest.py",
"copies": "2",
"size": "1279",
"license": "mit",
"hash": -1761994316678908000,
"line_mean": 19.9672131148,
"line_max": 63,
"alpha_frac": 0.6716184519,
"autogenerated": false,
"ratio": 4.335593220338983,
"config_test": false,
... |
from dynamic_rest.viewsets import DynamicModelViewSet
from restapi.models import (
CasProtein,
Locus,
LocusSpacerRepeat,
Organism,
OrganismCasProtein,
OrganismSelfSpacer,
Repeat,
Spacer
)
from restapi.serializers import (
CasProteinSerializer,
LSRSerializer,
LocusSerializer,... | {
"repo_name": "mbonsma/phageParser",
"path": "restapi/views.py",
"copies": "3",
"size": "2103",
"license": "mit",
"hash": -8745331537017083000,
"line_mean": 22.8977272727,
"line_max": 71,
"alpha_frac": 0.7113647171,
"autogenerated": false,
"ratio": 3.930841121495327,
"config_test": false,
"ha... |
from dynamic_rules.dynamic_actions import BaseDynamicAction
from dynamic_manipulation import models
from dynamic_manipulation.models import ManipulationLog
__all__ = ('BaseDynamicManipulation', )
class BaseDynamicManipulation(BaseDynamicAction):
def clear_existing(self):
"""
Both Side Effect Mo... | {
"repo_name": "imtapps/django-dynamic-manipulation",
"path": "dynamic_manipulation/dynamic_actions.py",
"copies": "1",
"size": "1873",
"license": "bsd-2-clause",
"hash": -1077260865737851900,
"line_mean": 31.8596491228,
"line_max": 107,
"alpha_frac": 0.6444207154,
"autogenerated": false,
"ratio":... |
from dynamic_scraper.spiders.django_spider import DjangoSpider
from open_news.models import NewsWebsite, Article, ArticleItem
import scrapy
from scrapy.spider import Spider
from scrapy.selector import Selector
from open_news.items import Website, DmozItem
class ArticleSpider(DjangoSpider):
name = 'article_spi... | {
"repo_name": "c3pko/GovScrape",
"path": "example_project/open_news/scraper/spiders.py",
"copies": "1",
"size": "1207",
"license": "bsd-3-clause",
"hash": 559250772424984500,
"line_mean": 32.5555555556,
"line_max": 66,
"alpha_frac": 0.6743993372,
"autogenerated": false,
"ratio": 3.657575757575757... |
from dynamic_scraper.spiders.django_spider import DjangoSpider
from open_news.models import NewsWebsite, NewsWebsite2, Article, Article2, ArticleItem, ArticleItem2
class ArticleSpider(DjangoSpider):
name = 'article_spider'
def __init__(self, *args, **kwargs):
self._set_ref_object(NewsWebsite, **... | {
"repo_name": "caspyyy/SCRAPY_DDS",
"path": "example_project/open_news/scraper/spiders.py",
"copies": "1",
"size": "1076",
"license": "bsd-3-clause",
"hash": -390599826306840900,
"line_mean": 36.1379310345,
"line_max": 100,
"alpha_frac": 0.7081784387,
"autogenerated": false,
"ratio": 3.3625,
"c... |
from dynamics import *
class Particle(object):
def __init__(self):
self.convertList = [int, float, list]
self.type = 'particle'
self.forward_done = False
class AbstractScalar(Particle):
def __init__(self, name, parent=None):
super(AbstractScalar, self).__init__()
... | {
"repo_name": "amartya18x/easyGrad",
"path": "easyGrad/particles/dataTypes.py",
"copies": "1",
"size": "7809",
"license": "apache-2.0",
"hash": -6609048754816066000,
"line_mean": 25.7431506849,
"line_max": 75,
"alpha_frac": 0.5382251249,
"autogenerated": false,
"ratio": 3.7435282837967403,
"con... |
from dynamic_stack_decider.abstract_action_element import AbstractActionElement
from humanoid_league_msgs.msg import HeadMode
from geometry_msgs.msg import PoseStamped
from tf.transformations import quaternion_from_euler
import rospy
import math
class SearchBall(AbstractActionElement):
def __init__(self, blackboa... | {
"repo_name": "bit-bots/bitbots_behaviour",
"path": "bitbots_body_behavior/src/bitbots_body_behavior/actions/search_ball.py",
"copies": "1",
"size": "2512",
"license": "bsd-3-clause",
"hash": -5297303472904633000,
"line_mean": 39.5161290323,
"line_max": 79,
"alpha_frac": 0.6484872611,
"autogenerate... |
from dynamic_stack_decider.abstract_action_element import AbstractActionElement
from humanoid_league_msgs.msg import HeadMode
class StartTimer(AbstractActionElement):
def __init__(self, blackboard, dsd, parameters=None):
super(StartTimer, self).__init__(blackboard, dsd, parameters)
if 'name' not ... | {
"repo_name": "bit-bots/bitbots_behaviour",
"path": "bitbots_body_behavior/src/bitbots_body_behavior/actions/timer.py",
"copies": "1",
"size": "1225",
"license": "bsd-3-clause",
"hash": -3590271183558192000,
"line_mean": 38.5161290323,
"line_max": 93,
"alpha_frac": 0.6824489796,
"autogenerated": fa... |
from dynamic_stack_decider.abstract_action_element import AbstractActionElement
from tf2_geometry_msgs import PoseStamped
import rospy
class GoToBlockPosition(AbstractActionElement):
def __init__(self, blackboard, dsd, parameters=None):
super(GoToBlockPosition, self).__init__(blackboard, dsd, parameters)
... | {
"repo_name": "bit-bots/bitbots_behaviour",
"path": "bitbots_body_behavior/src/bitbots_body_behavior/actions/go_to_block_position.py",
"copies": "1",
"size": "2457",
"license": "bsd-3-clause",
"hash": -5850324741761516000,
"line_mean": 48.14,
"line_max": 127,
"alpha_frac": 0.5592185592,
"autogenera... |
from dynamic_stack_decider.abstract_action_element import AbstractActionElement
from tf2_geometry_msgs import PoseStamped
import rospy
class GoToDefensePosition(AbstractActionElement):
def __init__(self, blackboard, dsd, parameters=None):
super(GoToDefensePosition, self).__init__(blackboard, dsd, paramete... | {
"repo_name": "bit-bots/bitbots_behaviour",
"path": "bitbots_body_behavior/src/bitbots_body_behavior/actions/go_to_defense_position.py",
"copies": "1",
"size": "2216",
"license": "bsd-3-clause",
"hash": -7191562768750323000,
"line_mean": 44.2244897959,
"line_max": 114,
"alpha_frac": 0.5379061372,
"... |
from dynamic_stack_decider.abstract_decision_element import AbstractDecisionElement
class BallDangerous(AbstractDecisionElement):
def __init__(self, blackboard, dsd, parameters=None):
super(BallDangerous, self).__init__(blackboard, dsd, parameters)
self.goal_radius = self.blackboard.config['ball_d... | {
"repo_name": "bit-bots/bitbots_behaviour",
"path": "bitbots_body_behavior/src/bitbots_body_behavior/decisions/ball_dangerous.py",
"copies": "1",
"size": "1628",
"license": "bsd-3-clause",
"hash": 2610493355450980400,
"line_mean": 37.7619047619,
"line_max": 96,
"alpha_frac": 0.6357493857,
"autogene... |
from dynamite import fields
from dynamite.defines import STRING, NUMBER
from dynamite.schema import Schema
from dynamite.tables import Table
from dynamite.items import TableItems
from dynamite.utils import ClassProperty
class Model(Schema):
_table = None
_items = None
_key = None
read_capacity_units =... | {
"repo_name": "viatoriche/dynamite",
"path": "dynamite/models.py",
"copies": "1",
"size": "4669",
"license": "mit",
"hash": -2617649550807039500,
"line_mean": 28.18125,
"line_max": 83,
"alpha_frac": 0.5720711073,
"autogenerated": false,
"ratio": 3.7990235964198535,
"config_test": false,
"has_... |
from dynamoengine.base.metaclasses import ItemMetaclass
from dynamoengine.static import VERBOSE_TYPES
from dynamoengine.exceptions import (
DynamoPreconditionError,
ItemAttributeTypeError,
AttributeIsRequired
)
from dynamoengine.connection import (
create_item,
update_item,
delete_item,
wi... | {
"repo_name": "jcoc611/DynamoEngine",
"path": "dynamoengine/item.py",
"copies": "1",
"size": "7090",
"license": "mit",
"hash": 7274544643312761000,
"line_mean": 22.7123745819,
"line_max": 75,
"alpha_frac": 0.514809591,
"autogenerated": false,
"ratio": 4.591968911917099,
"config_test": false,
... |
from dynamoengine.static import VERBOSE_TYPES
from dynamoengine.exceptions import (
ItemAttributeTypeError,
ValidationError
)
class BaseField(object):
'''
Abstract class representing
any Item attribute.
Called Field for nomenclature
coherence with mongoengine
and django backends.
... | {
"repo_name": "jcoc611/DynamoEngine",
"path": "dynamoengine/base/field.py",
"copies": "1",
"size": "2294",
"license": "mit",
"hash": -1830901081776729900,
"line_mean": 26.6385542169,
"line_max": 73,
"alpha_frac": 0.5431560593,
"autogenerated": false,
"ratio": 4.6437246963562755,
"config_test": ... |
from dynamo.models import DynamicApp, DynamicModel, DynamicModelField
from django.contrib import admin
from dynamo.utils import reregister_in_admin, dynamo_exist
class DynamicAppAdmin(admin.ModelAdmin):
fields = ('name', 'verbose_name')
search_fields = ('name','verbose_name')
ordering = ('name',)
list... | {
"repo_name": "rendrom/django-dynamit",
"path": "dynamo/admin.py",
"copies": "1",
"size": "1235",
"license": "mit",
"hash": 6958364581715466000,
"line_mean": 29.875,
"line_max": 69,
"alpha_frac": 0.6995951417,
"autogenerated": false,
"ratio": 3.7087087087087087,
"config_test": false,
"has_no_... |
from dynasty.models import Dynasty
import re
def get_mined_dates(text):
mined_dates = []
dates = mine_date(text)
if dates:
for date in dates:
if isinstance(date, list):
for range_date in date:
mined_dates.append(range_date)
# TODO... | {
"repo_name": "jmwenda/hypermap",
"path": "hypermap/dynasty/utils.py",
"copies": "1",
"size": "2659",
"license": "mit",
"hash": -1379545192603141000,
"line_mean": 27.5913978495,
"line_max": 74,
"alpha_frac": 0.5374200827,
"autogenerated": false,
"ratio": 3.3446540880503144,
"config_test": false... |
from dynet import *
from collections import Counter
import random
import util
# format of files: each line is "word<TAB>tag<newline>", blank line is new sentence.
train_file="/Users/yogo/Vork/Research/corpora/pos/WSJ.TRAIN"
test_file="/Users/yogo/Vork/Research/corpora/pos/WSJ.TEST"
MLP=True
def read(fname):
se... | {
"repo_name": "mitchellstern/dynet",
"path": "examples/python/bilstmtagger.py",
"copies": "3",
"size": "3645",
"license": "apache-2.0",
"hash": 936636805345612800,
"line_mean": 24.3125,
"line_max": 84,
"alpha_frac": 0.5404663923,
"autogenerated": false,
"ratio": 2.9113418530351436,
"config_test... |
from dynet import *
from utils import ParseForest, read_conll, write_conll
from operator import itemgetter
from itertools import chain
import utils, time, random
import numpy as np
class ArcHybridLSTM:
def __init__(self, words, pos, rels, w2i, options):
self.model = Model()
self.trainer = AdamTrai... | {
"repo_name": "elikip/bist-parser",
"path": "barchybrid/src/arc_hybrid.py",
"copies": "1",
"size": "19112",
"license": "apache-2.0",
"hash": 869867689638192600,
"line_mean": 45.6146341463,
"line_max": 206,
"alpha_frac": 0.5291439933,
"autogenerated": false,
"ratio": 3.5783561130874366,
"config_... |
from dynet import *
from utils import read_conll, write_conll
from operator import itemgetter
import utils, time, random, decoder
import numpy as np
class MSTParserLSTM:
def __init__(self, vocab, pos, rels, w2i, options):
self.model = Model()
random.seed(1)
self.trainer = AdamTrainer(self.... | {
"repo_name": "elikip/bist-parser",
"path": "bmstparser/src/mstlstm.py",
"copies": "2",
"size": "15063",
"license": "apache-2.0",
"hash": -4825762428199560000,
"line_mean": 45.4907407407,
"line_max": 216,
"alpha_frac": 0.555666202,
"autogenerated": false,
"ratio": 3.6542940320232895,
"config_te... |
from dynet import *
import time
import random
LAYERS = 2
INPUT_DIM = 256 #50 #256
HIDDEN_DIM = 256 # 50 #1024
VOCAB_SIZE = 0
MB_SIZE = 50 # mini batch size
from collections import defaultdict
from itertools import count
import sys
import util
class RNNLanguageModel:
def __init__(self, model, LAYERS, INPUT_DIM... | {
"repo_name": "cherryc/dynet",
"path": "examples/python/rnnlm-batch.py",
"copies": "1",
"size": "4710",
"license": "apache-2.0",
"hash": -5546046006523469000,
"line_mean": 31.9370629371,
"line_max": 102,
"alpha_frac": 0.5481953291,
"autogenerated": false,
"ratio": 3.5228122662677634,
"config_te... |
from dynet import *
import time
import random
LAYERS = 2
INPUT_DIM = 256 #50 #256
HIDDEN_DIM = 256 # 50 #1024
VOCAB_SIZE = 0
MB_SIZE = 50 # mini batch size
import argparse
from collections import defaultdict
from itertools import count
import sys
import util
class RNNLanguageModel:
def __init__(self, model, L... | {
"repo_name": "Peilun-Li/dynet",
"path": "examples/python/rnnlm-batch.py",
"copies": "2",
"size": "4865",
"license": "apache-2.0",
"hash": 463011954725685760,
"line_mean": 31.8716216216,
"line_max": 102,
"alpha_frac": 0.5531346351,
"autogenerated": false,
"ratio": 3.548504741064916,
"config_tes... |
from dynet import *
import time
import random
LAYERS = 2
INPUT_DIM = 256 #50 #256
HIDDEN_DIM = 256 # 50 #1024
VOCAB_SIZE = 0
from collections import defaultdict
from itertools import count
import argparse
import sys
import util
class RNNLanguageModel:
def __init__(self, model, LAYERS, INPUT_DIM, HIDDEN_DIM, VO... | {
"repo_name": "Peilun-Li/dynet",
"path": "examples/python/rnnlm.py",
"copies": "1",
"size": "4216",
"license": "apache-2.0",
"hash": -4235387333487671300,
"line_mean": 31.1832061069,
"line_max": 102,
"alpha_frac": 0.5396110057,
"autogenerated": false,
"ratio": 3.4614121510673237,
"config_test":... |
from dynet import *
train_sentence = [('the','D'), ('dog','N'), ('walks','V')]
i2w = dict(enumerate(set(w for w,t in train_sentence)))
w2i = dict((w,i) for i,w in i2w.items())
t2i = dict((t,i) for i,t in enumerate(set(t for w,t in train_sentence)))
num_words = len(w2i)
num_tags = len(t2i)
model = Model()
sgd = Simpl... | {
"repo_name": "Peilun-Li/dynet",
"path": "examples/python/viz_birnn.py",
"copies": "2",
"size": "1825",
"license": "apache-2.0",
"hash": 226948127466458180,
"line_mean": 29.9322033898,
"line_max": 128,
"alpha_frac": 0.6169863014,
"autogenerated": false,
"ratio": 2.7037037037037037,
"config_test... |
from dynet import *
train_sentence = [('the','D'), ('dog','N'), ('walks','V')]
i2w = dict(enumerate(set(w for w,t in train_sentence)))
w2i = dict((w,i) for i,w in i2w.iteritems())
t2i = dict((t,i) for i,t in enumerate(set(t for w,t in train_sentence)))
num_words = len(w2i)
num_tags = len(t2i)
model = Model()
sgd = S... | {
"repo_name": "mitchellstern/dynet",
"path": "examples/python/viz_birnn.py",
"copies": "3",
"size": "1829",
"license": "apache-2.0",
"hash": 8511949188523963000,
"line_mean": 30,
"line_max": 128,
"alpha_frac": 0.6178239475,
"autogenerated": false,
"ratio": 2.70962962962963,
"config_test": false... |
from dynet import *
#xsent = True
xsent = False
HIDDEN_SIZE = 8
ITERATIONS = 2000
m = Model()
sgd = SimpleSGDTrainer(m)
pW = m.add_parameters((HIDDEN_SIZE, 2))
pb = m.add_parameters(HIDDEN_SIZE)
pV = m.add_parameters((1, HIDDEN_SIZE))
pa = m.add_parameters(1)
W = parameter(pW)
b = parameter(pb)
V = parameter(pV)
a... | {
"repo_name": "mitchellstern/dynet",
"path": "examples/python/xor.py",
"copies": "3",
"size": "1398",
"license": "apache-2.0",
"hash": 5883331780870273000,
"line_mean": 17.3947368421,
"line_max": 47,
"alpha_frac": 0.5672389127,
"autogenerated": false,
"ratio": 2.3456375838926173,
"config_test":... |
from dynetx.utils import make_str
import dynetx as dn
from itertools import chain, count
__all__ = ['node_link_data', 'node_link_graph']
_attrs = dict(id='id', source='source', target='target')
def node_link_data(G, attrs=_attrs):
"""Return data in node-link format that is suitable for JSON serialization
and... | {
"repo_name": "GiulioRossetti/dynetx",
"path": "dynetx/readwrite/json_graph/node_link.py",
"copies": "1",
"size": "3153",
"license": "bsd-2-clause",
"hash": 3400312318020827000,
"line_mean": 26.4173913043,
"line_max": 129,
"alpha_frac": 0.5867427846,
"autogenerated": false,
"ratio": 3.78966346153... |
from dynipman.components import Client
client = Client()
def device_info():
print("Client host: "+client.info['host'])
print("Client name: "+client.info['name'])
return client.info
def report_ip():
update = client.report_ip()
return update
def show_menu():
print('\n-Menu-----------------... | {
"repo_name": "jungkumseok/dynipman",
"path": "dynipman/client_shell.py",
"copies": "1",
"size": "1060",
"license": "mit",
"hash": 2543165939001856000,
"line_mean": 24.2619047619,
"line_max": 47,
"alpha_frac": 0.4613207547,
"autogenerated": false,
"ratio": 3.8827838827838828,
"config_test": fal... |
from dynomite import Dynomite
from dynomite.ttypes import *
from thrift import Thrift
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
from threading import local, RLock
class Client(object):
"""
Simplified thrift client abstracts some t... | {
"repo_name": "seabirdzh/dynomite",
"path": "pylibs/dynomite/thrift_client.py",
"copies": "2",
"size": "1650",
"license": "bsd-3-clause",
"hash": 6425998245193210000,
"line_mean": 27.9473684211,
"line_max": 76,
"alpha_frac": 0.6218181818,
"autogenerated": false,
"ratio": 4.187817258883249,
"con... |
from dynts.utils import test
from dynts.utils.populate import randomts, polygen
class TestDelta(test.TestCase):
def getts(self, cols, *coefs):
return randomts(100, cols, backend=self.backend,
generator = polygen(*coefs))
def testp0Delta(self):
'''Test mean ... | {
"repo_name": "quantmind/dynts",
"path": "tests/unit/tsdelta.py",
"copies": "1",
"size": "2572",
"license": "bsd-3-clause",
"hash": -2253402724726451000,
"line_mean": 30.5569620253,
"line_max": 61,
"alpha_frac": 0.5221617418,
"autogenerated": false,
"ratio": 3.480378890392422,
"config_test": tr... |
from dyplot.nvd3 import NVD3
import csv
import json
class Scatter(NVD3):
m2s = {'o' : 'circle',
'+' : 'cross' ,
'^' : 'triangle-up' ,
'v' : 'triangle-down',
'D' : 'diamond' ,
's' : 'square'}
def __init__(self, x, y, g,s=1, marker='o', slope="", intercept="", option=... | {
"repo_name": "blacksburg98/dyplot",
"path": "dyplot/scatter.py",
"copies": "1",
"size": "5959",
"license": "mit",
"hash": 2704632319774299600,
"line_mean": 36.7151898734,
"line_max": 117,
"alpha_frac": 0.4782681658,
"autogenerated": false,
"ratio": 3.6852195423623995,
"config_test": false,
"... |
from .e164 import mapping
from .e212 import networks
from .errors import InvalidPhone, InvalidNetwork, InvalidCountry
def phone_country(phone):
'''
Really simple function to get the ISO-3166-1 country from a phone number
The phone number must be in E.164, aka international format.
Returns an ISO-3166-... | {
"repo_name": "onlinecity/phone-iso3166",
"path": "phone_iso3166/country.py",
"copies": "1",
"size": "2392",
"license": "mit",
"hash": -2121614214684868400,
"line_mean": 29.2784810127,
"line_max": 79,
"alpha_frac": 0.6049331104,
"autogenerated": false,
"ratio": 3.9084967320261437,
"config_test"... |
from eacc.eacc import Eacc
from eacc.lexer import Lexer
from crocs.grammar import RegexTokens, RegexGrammar, HClassGrammar, HClassTokens
from crocs.regex import X, Pattern, Group, NonCapture, NamedGroup, Repeat, ZeroOrMore, OneOrMore, \
OneOrZero, Seq, Include, Exclude, ConsumeNext, ConsumeBack, Any, NGLink, RegexComme... | {
"repo_name": "iogf/crocs",
"path": "crocs/xparser.py",
"copies": "1",
"size": "10477",
"license": "apache-2.0",
"hash": -1117615612186358300,
"line_mean": 31.3364197531,
"line_max": 99,
"alpha_frac": 0.6093347332,
"autogenerated": false,
"ratio": 3.3983133311709373,
"config_test": false,
"ha... |
from eacc.eacc import Rule, Grammar, T
from eacc.lexer import LexTok, XSpec, SeqTok, LexSeq
from eacc.token import TokVal, Plus, Minus, LP, RP, Mul, \
Comma, Sof, Eof, Char, LB, RB, Pipe, Question, Equal, Hash,Comment, \
LBR, RBR, Dot, Escape, Lesser, Greater, Exclam, Caret, TokType, Num, String, \
Colon, Dollar
clas... | {
"repo_name": "iogf/crocs",
"path": "crocs/grammar.py",
"copies": "1",
"size": "6619",
"license": "apache-2.0",
"hash": -5758003398890518000,
"line_mean": 34.0211640212,
"line_max": 87,
"alpha_frac": 0.6058316966,
"autogenerated": false,
"ratio": 2.5043511161558833,
"config_test": false,
"has... |
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