code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('content_management', '0023_auto_20180424_1227'),
]
operations = [
migrations.AlterField(
model_name='cataloger',
name='description',
field=models.CharFi... | build_automation/content_management/migrations/0024_auto_20180428_1833.py |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('content_management', '0023_auto_20180424_1227'),
]
operations = [
migrations.AlterField(
model_name='cataloger',
name='description',
field=models.CharFi... | 0.6705 | 0.120284 |
import unittest
import orca
import os.path as path
from setup.settings import *
from pandas.util.testing import *
class Csv:
pdf_csv = None
odf_csv = None
class DataFrameReindexingTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
# configure data directory
DATA_DIR = path.ab... | tests/orca_unit_testing/test_dataframe_reindexing_selection.py | import unittest
import orca
import os.path as path
from setup.settings import *
from pandas.util.testing import *
class Csv:
pdf_csv = None
odf_csv = None
class DataFrameReindexingTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
# configure data directory
DATA_DIR = path.ab... | 0.609873 | 0.493958 |
import sys, os, pwd, string, re, selinux
obj = "(\{[^\}]*\}|[^ \t:]*)"
allow_regexp = "(allow|dontaudit)[ \t]+%s[ \t]*%s[ \t]*:[ \t]*%s[ \t]*%s" % (obj, obj, obj, obj)
awk_script = '/^[[:blank:]]*interface[[:blank:]]*\(/ {\n\
IFACEFILE=FILENAME\n\
IFACENAME = gensub("^[[:blank:]]*interface[[:blank:]]*\\\\(\`?... | contrib/sebsd/policycoreutils/audit2allow/avc.py | import sys, os, pwd, string, re, selinux
obj = "(\{[^\}]*\}|[^ \t:]*)"
allow_regexp = "(allow|dontaudit)[ \t]+%s[ \t]*%s[ \t]*:[ \t]*%s[ \t]*%s" % (obj, obj, obj, obj)
awk_script = '/^[[:blank:]]*interface[[:blank:]]*\(/ {\n\
IFACEFILE=FILENAME\n\
IFACENAME = gensub("^[[:blank:]]*interface[[:blank:]]*\\\\(\`?... | 0.064337 | 0.147218 |
from datetime import datetime
from enum import IntEnum
from typing import Any, Optional, Union
from pydisco.http import Http
from pydisco.utils import convert_snowflake_to_datetime
class UserFlags(IntEnum):
"""
This enum represents flags that can be added to a user's account.
See Also
--... | pydisco/user.py | from datetime import datetime
from enum import IntEnum
from typing import Any, Optional, Union
from pydisco.http import Http
from pydisco.utils import convert_snowflake_to_datetime
class UserFlags(IntEnum):
"""
This enum represents flags that can be added to a user's account.
See Also
--... | 0.919077 | 0.356783 |
import torch
import torchaudio
from torch.utils.data import DataLoader
from torch import nn
from USDataset import US8KDataset
BATCH_SIZE = 64
EPOCHS = 20
LEARNING_RATE = 0.001
ANNOTATIONS_FILE = "UrbanSound8K/metadata/UrbanSound8K.csv"
AUDIO_DIR = "UrbanSound8K/audio"
SAMPLE_RATE = 44100
NUM_SAMPLES = 44100
device = ... | model.py | import torch
import torchaudio
from torch.utils.data import DataLoader
from torch import nn
from USDataset import US8KDataset
BATCH_SIZE = 64
EPOCHS = 20
LEARNING_RATE = 0.001
ANNOTATIONS_FILE = "UrbanSound8K/metadata/UrbanSound8K.csv"
AUDIO_DIR = "UrbanSound8K/audio"
SAMPLE_RATE = 44100
NUM_SAMPLES = 44100
device = ... | 0.931579 | 0.339007 |
import argparse
import pandas as pd
import numpy as np
def net_stats(net_df, n_edges, pos_df, neg_df, wt_attr):
top_df = net_df.head(n_edges)
tp_shape = top_df[ top_df.edge.isin(pos_df.edge) ].shape
fp_shape = top_df[ top_df.edge.isin(neg_df.edge) ].shape
max_wt = np.max(top_df[wt_attr])
min_wt = n... | utils/analyse_network.py | import argparse
import pandas as pd
import numpy as np
def net_stats(net_df, n_edges, pos_df, neg_df, wt_attr):
top_df = net_df.head(n_edges)
tp_shape = top_df[ top_df.edge.isin(pos_df.edge) ].shape
fp_shape = top_df[ top_df.edge.isin(neg_df.edge) ].shape
max_wt = np.max(top_df[wt_attr])
min_wt = n... | 0.418935 | 0.205197 |
import os
import re
from git import Repo
import syncmanagerclient.util.globalproperties as globalproperties
class DeletionRegistration:
def __init__(self, **kwargs):
self.branch_path = kwargs.get('branch_path', None)
self.registry_dir = globalproperties.var_dir
# first check if directory ... | syncmanagerclient/syncmanagerclient/clients/deletion_registration.py | import os
import re
from git import Repo
import syncmanagerclient.util.globalproperties as globalproperties
class DeletionRegistration:
def __init__(self, **kwargs):
self.branch_path = kwargs.get('branch_path', None)
self.registry_dir = globalproperties.var_dir
# first check if directory ... | 0.221687 | 0.058615 |
class ImageFolderDataset(Dataset):
def __init__(self, root_path, transform=None, target_window=100, first_k=None,
last_k=None, skip_every=1, repeat=1, cache='in_memory',
shuffle_mapping=False, forced_mapping=None, real_shuffle=False,
batch_size=args.batch_size, l... | datasets/contrastive.py | class ImageFolderDataset(Dataset):
def __init__(self, root_path, transform=None, target_window=100, first_k=None,
last_k=None, skip_every=1, repeat=1, cache='in_memory',
shuffle_mapping=False, forced_mapping=None, real_shuffle=False,
batch_size=args.batch_size, l... | 0.522689 | 0.175256 |
import typing
from dataclasses import dataclass
from aiothornode.types import ThorConstants, ThorMimir
from services.lib.texts import split_by_camel_case
from services.models.base import BaseModelMixin
@dataclass
class MimirEntry:
name: str
pretty_name: str
real_value: str
hard_coded_value: str
... | app/services/models/mimir.py | import typing
from dataclasses import dataclass
from aiothornode.types import ThorConstants, ThorMimir
from services.lib.texts import split_by_camel_case
from services.models.base import BaseModelMixin
@dataclass
class MimirEntry:
name: str
pretty_name: str
real_value: str
hard_coded_value: str
... | 0.650689 | 0.150559 |
import requests
import json
from django.shortcuts import render, redirect
from django.http import HttpResponse
from common.fetching import Fetcher as DataFetcher
from common.tokening import TokenManager
from .services.summary import (
BatchJobErrorSummary,
BatchJobExecutingSummary,
BatchJobWa... | daxboard/sysadmin/views.py | import requests
import json
from django.shortcuts import render, redirect
from django.http import HttpResponse
from common.fetching import Fetcher as DataFetcher
from common.tokening import TokenManager
from .services.summary import (
BatchJobErrorSummary,
BatchJobExecutingSummary,
BatchJobWa... | 0.340376 | 0.043164 |
polls = {
'newsint2_baseline' : ('Interest in news and public affairs',
'Some people seem to follow what\'s going on in government and public affairs most of the time, whether there\'s an election going on or not. Others aren\'t that interested. Would you say you follow what\'s goin... | polls.py | polls = {
'newsint2_baseline' : ('Interest in news and public affairs',
'Some people seem to follow what\'s going on in government and public affairs most of the time, whether there\'s an election going on or not. Others aren\'t that interested. Would you say you follow what\'s goin... | 0.272702 | 0.59884 |
import logging
from apel.db.records.storage import StorageRecord
from apel.db.records.group_attribute import GroupAttributeRecord
from apel.common.datetime_utils import parse_timestamp
from xml_parser import XMLParser, XMLParserException
log = logging.getLogger(__name__)
class StarParser(XMLParser):
'''
Pa... | apel/db/loader/star_parser.py | import logging
from apel.db.records.storage import StorageRecord
from apel.db.records.group_attribute import GroupAttributeRecord
from apel.common.datetime_utils import parse_timestamp
from xml_parser import XMLParser, XMLParserException
log = logging.getLogger(__name__)
class StarParser(XMLParser):
'''
Pa... | 0.456894 | 0.232795 |
import sys
import ast
import vim
import os.path
import pkgutil
class Pin:
def __init__(self):
self.cWORD = vim.eval("expand('<cWORD>')")
self.cword = vim.eval("expand('<cword>')")
self.cline = vim.eval("getline('.')")
if self.cWORD in ["import", "from", "as"]:
raise Va... | ftplugin/python/pin.py | import sys
import ast
import vim
import os.path
import pkgutil
class Pin:
def __init__(self):
self.cWORD = vim.eval("expand('<cWORD>')")
self.cword = vim.eval("expand('<cword>')")
self.cline = vim.eval("getline('.')")
if self.cWORD in ["import", "from", "as"]:
raise Va... | 0.41561 | 0.236197 |
from bio2bel_mirtarbase.manager import _build_entrez_map
from bio2bel_mirtarbase.models import Evidence, HGNC, MIRBASE, Mirna, NCBIGENE, Species, Target
from pybel import BELGraph
from pybel.constants import FUNCTION, IDENTIFIER, NAME, NAMESPACE
from pybel.dsl import BaseAbundance, mirna, rna
from tests.constants impor... | tests/test_build_db.py | from bio2bel_mirtarbase.manager import _build_entrez_map
from bio2bel_mirtarbase.models import Evidence, HGNC, MIRBASE, Mirna, NCBIGENE, Species, Target
from pybel import BELGraph
from pybel.constants import FUNCTION, IDENTIFIER, NAME, NAMESPACE
from pybel.dsl import BaseAbundance, mirna, rna
from tests.constants impor... | 0.724675 | 0.430866 |
class Word2Sequence:
UNK_TAG="<UNK>"
PAD_TAG = "<PAD>"
UNK = 0
PAD = 1
'''
1.初始化dict词典,加入初始字符,count词频统计
'''
def __init__(self):
self.dict={
self.UNK_TAG:self.UNK,
self.PAD_TAG:self.PAD
}
self.counter={}
'''
2.接收单个wordlist,统计... | src/search/sort/word_to_sequence.py |
class Word2Sequence:
UNK_TAG="<UNK>"
PAD_TAG = "<PAD>"
UNK = 0
PAD = 1
'''
1.初始化dict词典,加入初始字符,count词频统计
'''
def __init__(self):
self.dict={
self.UNK_TAG:self.UNK,
self.PAD_TAG:self.PAD
}
self.counter={}
'''
2.接收单个wordlist,统计... | 0.182826 | 0.403449 |
from abc import abstractmethod
from collections import OrderedDict
from django.utils.translation import ugettext
from datawinners.search.index_utils import es_unique_id_code_field_name, es_questionnaire_field_name
from datawinners.search.submission_index_constants import SubmissionIndexConstants
from datawinners.util... | datawinners/search/submission_headers.py | from abc import abstractmethod
from collections import OrderedDict
from django.utils.translation import ugettext
from datawinners.search.index_utils import es_unique_id_code_field_name, es_questionnaire_field_name
from datawinners.search.submission_index_constants import SubmissionIndexConstants
from datawinners.util... | 0.633637 | 0.131424 |
__all__ = ['test_endpoints', 'construct_method_to_params_dict', 'construct_request_type_filter',
'check_request_type_filter', 'determine_request_type_from_fields', 'determine_method_request_types',
'construct_method_to_params_map', 'construct_method_info_dict']
# Cell
from tqdm import tqdm
from ... | ElexonDataPortal/dev/clientprep.py |
__all__ = ['test_endpoints', 'construct_method_to_params_dict', 'construct_request_type_filter',
'check_request_type_filter', 'determine_request_type_from_fields', 'determine_method_request_types',
'construct_method_to_params_map', 'construct_method_info_dict']
# Cell
from tqdm import tqdm
from ... | 0.684475 | 0.428413 |
from unittest import TestCase
import httpretty
from click.testing import CliRunner
from arcsecond import cli
from arcsecond.api.error import ArcsecondError
from arcsecond.config import config_file_clear_section
from tests.utils import make_successful_login, mock_http_get, mock_http_post
class DatasetsInOrganisation... | tests/cli/test_datasets_organisations.py | from unittest import TestCase
import httpretty
from click.testing import CliRunner
from arcsecond import cli
from arcsecond.api.error import ArcsecondError
from arcsecond.config import config_file_clear_section
from tests.utils import make_successful_login, mock_http_get, mock_http_post
class DatasetsInOrganisation... | 0.612773 | 0.414425 |
import os
import qrcode
from telegram.ext import Updater, CommandHandler, ConversationHandler, MessageHandler, Filters
from telegram import ChatAction
# Una variable para que el Bot se quede esperando el texto del QR
INPUT_TEXT = 0
def start(update, context):
update.message.reply_text('Bienvenido a el Bot de Prue... | bot.py | import os
import qrcode
from telegram.ext import Updater, CommandHandler, ConversationHandler, MessageHandler, Filters
from telegram import ChatAction
# Una variable para que el Bot se quede esperando el texto del QR
INPUT_TEXT = 0
def start(update, context):
update.message.reply_text('Bienvenido a el Bot de Prue... | 0.332852 | 0.090173 |
import kernel
from kernel.Interfaces.IStoreManager import IStoreManager
import jsonpickle
import os
import numpy as np
class JsonStoreManager(IStoreManager):
def __init__(self):
"""
Constructor that initializes entity
"""
super().__init__()
self.refresh()
def refresh(... | backend/managers/JsonStoreManager.py | import kernel
from kernel.Interfaces.IStoreManager import IStoreManager
import jsonpickle
import os
import numpy as np
class JsonStoreManager(IStoreManager):
def __init__(self):
"""
Constructor that initializes entity
"""
super().__init__()
self.refresh()
def refresh(... | 0.387922 | 0.097864 |
from optparse import OptionParser
from struct import *
import sys
import os.path
import time
import binascii
MAGIC = 0x27051956
IMG_NAME_LENGTH = 32
archs = {'invalid':0, 'alpha':1, 'arm':2, 'x86':3, 'ia64':4, 'm68k':12,
'microblaze':14, 'mips':5, 'mips64':6, 'nios':13, 'nios2':15,
'powerpc':7, 'p... | mkimage.py |
from optparse import OptionParser
from struct import *
import sys
import os.path
import time
import binascii
MAGIC = 0x27051956
IMG_NAME_LENGTH = 32
archs = {'invalid':0, 'alpha':1, 'arm':2, 'x86':3, 'ia64':4, 'm68k':12,
'microblaze':14, 'mips':5, 'mips64':6, 'nios':13, 'nios2':15,
'powerpc':7, 'p... | 0.214527 | 0.094803 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Menu',
fields=[
('... | treemenus/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Menu',
fields=[
('... | 0.568655 | 0.114715 |
import contextlib
import pathlib
import tempfile
import typing
from foodx_devops_tools.pipeline_config import load_template_context
@contextlib.contextmanager
def context_files(
content: typing.Dict[str, typing.Dict[str, str]]
) -> typing.Generator[typing.List[pathlib.Path], None, None]:
dir_paths = set()
... | tests/ci/unit_tests/pipeline_config/test_template_context.py |
import contextlib
import pathlib
import tempfile
import typing
from foodx_devops_tools.pipeline_config import load_template_context
@contextlib.contextmanager
def context_files(
content: typing.Dict[str, typing.Dict[str, str]]
) -> typing.Generator[typing.List[pathlib.Path], None, None]:
dir_paths = set()
... | 0.566258 | 0.294665 |
from typing import Optional, Union
from matchsticks.game_types import Move
from matchsticks.utils import generate_allowed
class Game(object):
def __init__(self, num_layers: int = 4) -> None:
"""
A game of matchsticks.
:param num_layers: The number of layers of (odd numbers of) matchsticks you want to ... | matchsticks/game.py | from typing import Optional, Union
from matchsticks.game_types import Move
from matchsticks.utils import generate_allowed
class Game(object):
def __init__(self, num_layers: int = 4) -> None:
"""
A game of matchsticks.
:param num_layers: The number of layers of (odd numbers of) matchsticks you want to ... | 0.837736 | 0.618723 |
import logging
import sys
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.select import Select
import settings
import utils
logging.info("starting teetime booking application")
#calculate date / time values
dates = utils.days_to_dates(setting... | teetime.py | import logging
import sys
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.select import Select
import settings
import utils
logging.info("starting teetime booking application")
#calculate date / time values
dates = utils.days_to_dates(setting... | 0.09268 | 0.055285 |
import logging
import numpy as np
import onnx
import os
import tempfile
import torch
import unittest
from fairseq import models
from pytorch_translate import rnn # noqa
from pytorch_translate.ensemble_export import (
DecoderBatchedStepEnsemble,
DecoderStepEnsemble,
EncoderEnsemble,
BeamSearch
)
from ... | pytorch_translate/test/test_onnx.py |
import logging
import numpy as np
import onnx
import os
import tempfile
import torch
import unittest
from fairseq import models
from pytorch_translate import rnn # noqa
from pytorch_translate.ensemble_export import (
DecoderBatchedStepEnsemble,
DecoderStepEnsemble,
EncoderEnsemble,
BeamSearch
)
from ... | 0.466359 | 0.390592 |
from __future__ import print_function
from amuse.units import units, nbody_system
from amuse.datamodel import Particle
from amuse.community.athena.interface import Athena
from amuse.community.hermite.interface import Hermite
from matplotlib import pyplot
def hydro_grid_in_potential_well(mass=1 | units.MSun, length=1... | examples/simple/grid_potential.py | from __future__ import print_function
from amuse.units import units, nbody_system
from amuse.datamodel import Particle
from amuse.community.athena.interface import Athena
from amuse.community.hermite.interface import Hermite
from matplotlib import pyplot
def hydro_grid_in_potential_well(mass=1 | units.MSun, length=1... | 0.861378 | 0.400867 |
from django.shortcuts import render
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.http import HttpResponse
import googlemaps
from vets.models import VetSpot
gmaps = googlemaps.Client(key='AIzaSyA0tl-yTrvyi_9UESPKQ27Ny4L0ONoktj8')
def index(request):
return re... | petcare/vets/views.py | from django.shortcuts import render
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.http import HttpResponse
import googlemaps
from vets.models import VetSpot
gmaps = googlemaps.Client(key='AIzaSyA0tl-yTrvyi_9UESPKQ27Ny4L0ONoktj8')
def index(request):
return re... | 0.272896 | 0.125065 |
from bs4 import BeautifulSoup
import time
import requests
from random import randint
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def offlineMode():
try:
fil... | learntype.py | from bs4 import BeautifulSoup
import time
import requests
from random import randint
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def offlineMode():
try:
fil... | 0.056986 | 0.076477 |
import importlib
from pydashery import Widget
def find_function(search_def):
"""
Dynamically load the function based on the search definition.
:param str search_def: A string to tell us the function to load, e.g.
module:funcname or module.path:class.staticmethod
:raises Val... | backend/widgets/functionresult.py | import importlib
from pydashery import Widget
def find_function(search_def):
"""
Dynamically load the function based on the search definition.
:param str search_def: A string to tell us the function to load, e.g.
module:funcname or module.path:class.staticmethod
:raises Val... | 0.547222 | 0.395426 |
from enum import Enum
from typing import Dict, List
from robot.board import Board
class PinMode(Enum):
"""A pin-mode for a pin on the servo board."""
INPUT = 'Z'
INPUT_PULLUP = 'P'
OUTPUT_HIGH = 'H'
OUTPUT_LOW = 'L'
class PinValue(Enum):
"""A value state for a pin on the servo board."""
... | robot/servo.py | from enum import Enum
from typing import Dict, List
from robot.board import Board
class PinMode(Enum):
"""A pin-mode for a pin on the servo board."""
INPUT = 'Z'
INPUT_PULLUP = 'P'
OUTPUT_HIGH = 'H'
OUTPUT_LOW = 'L'
class PinValue(Enum):
"""A value state for a pin on the servo board."""
... | 0.928198 | 0.432962 |
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
import datetime
from openpyxl import Workbook
import xlwt
from dashboard.sheet_builder import NewSheetBuilder
from dashboard.utils import extract_list_from_sheet, controlePlanosSheetFiller, cotachSheetFiller
from .models imp... | projetos/reports.py | from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
import datetime
from openpyxl import Workbook
import xlwt
from dashboard.sheet_builder import NewSheetBuilder
from dashboard.utils import extract_list_from_sheet, controlePlanosSheetFiller, cotachSheetFiller
from .models imp... | 0.36886 | 0.069007 |
from version import __version__
import re
import os
import unittest
import logging
def SlashContrl(strpath):
'''
Solves windows - os.path normalize fail
for i.e. tests\\tests, considers \t an escape sequence.
:filters:: ['\\r', '\\t', '\\f', '\\a', '\\v'].
:return: true path [str]
... | regt.py | from version import __version__
import re
import os
import unittest
import logging
def SlashContrl(strpath):
'''
Solves windows - os.path normalize fail
for i.e. tests\\tests, considers \t an escape sequence.
:filters:: ['\\r', '\\t', '\\f', '\\a', '\\v'].
:return: true path [str]
... | 0.324235 | 0.099645 |
from __future__ import annotations
from typing import TYPE_CHECKING, Union, Optional
from enum import Enum
from asyncio import Event
from random import sample
import discord
from rtlib import sendableString
from .music import Music, is_url
if TYPE_CHECKING:
from .__init__ import MusicCog
class NotAddedReas... | cogs/music/player.py |
from __future__ import annotations
from typing import TYPE_CHECKING, Union, Optional
from enum import Enum
from asyncio import Event
from random import sample
import discord
from rtlib import sendableString
from .music import Music, is_url
if TYPE_CHECKING:
from .__init__ import MusicCog
class NotAddedReas... | 0.776962 | 0.169234 |
from __future__ import annotations
import abc
import numpy as np
from pyrsistent.typing import PMap as PMapT
from pyrsistent import pmap
from typing import Union, Tuple, Any, FrozenSet, List
from dataclasses import dataclass
from functools import cached_property, cache
from more_itertools import zip_equal as zip
from... | src/feinsum/einsum.py | from __future__ import annotations
import abc
import numpy as np
from pyrsistent.typing import PMap as PMapT
from pyrsistent import pmap
from typing import Union, Tuple, Any, FrozenSet, List
from dataclasses import dataclass
from functools import cached_property, cache
from more_itertools import zip_equal as zip
from... | 0.780913 | 0.54952 |
import tensorflow as tf
from typing import Tuple
##-
def unet(input_size: Tuple[int,int,int] =(256, 256, 1)) -> tf.keras.Model:
"""Construct a basic U-Net model for baseline experiments.
Params:
input_size (tuple): image size to segment: (wodth, height, n_channels)
Return:
keras.model.Mo... | cpm/unet/basic.py | import tensorflow as tf
from typing import Tuple
##-
def unet(input_size: Tuple[int,int,int] =(256, 256, 1)) -> tf.keras.Model:
"""Construct a basic U-Net model for baseline experiments.
Params:
input_size (tuple): image size to segment: (wodth, height, n_channels)
Return:
keras.model.Mo... | 0.940503 | 0.856272 |
import os
from decouple import config
import dj_database_url
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howt... | booky/settings.py | import os
from decouple import config
import dj_database_url
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howt... | 0.376738 | 0.067886 |
import unittest
from language_detector import detect_language
from language_detector.languages import LANGUAGES
class TestLanguageDetector(unittest.TestCase):
def test_detect_language_spanish(self):
text = """
<NAME> (Rosario, 24 de junio de 1987),
conocido como <NAME>, es un fut... | tests/test_main.py | import unittest
from language_detector import detect_language
from language_detector.languages import LANGUAGES
class TestLanguageDetector(unittest.TestCase):
def test_detect_language_spanish(self):
text = """
<NAME> (Rosario, 24 de junio de 1987),
conocido como <NAME>, es un fut... | 0.416441 | 0.511595 |
import torch
import torch.nn as nn
from torch.autograd import Function
import torch.nn.functional as F
import torch.nn.init as init
from torch.autograd import Variable
import math
class NormalizeLayer(torch.nn.Module):
"""Standardize the channels of a batch of images by subtracting the dataset mean
and divid... | RMC/models/resnet.py | import torch
import torch.nn as nn
from torch.autograd import Function
import torch.nn.functional as F
import torch.nn.init as init
from torch.autograd import Variable
import math
class NormalizeLayer(torch.nn.Module):
"""Standardize the channels of a batch of images by subtracting the dataset mean
and divid... | 0.964111 | 0.73137 |
import datetime
import webparser
import puzzleraw
import wordmatch
class Puzzle:
def __init__(self, date="", psid=""):
now = datetime.datetime.now()
if len(date) is 0:
date = str(now.year) + "-" + str(now.month) + "-" + str(now.day)
if len(psid) is 0:
psid = "10000... | puzzle.py | import datetime
import webparser
import puzzleraw
import wordmatch
class Puzzle:
def __init__(self, date="", psid=""):
now = datetime.datetime.now()
if len(date) is 0:
date = str(now.year) + "-" + str(now.month) + "-" + str(now.day)
if len(psid) is 0:
psid = "10000... | 0.4856 | 0.392977 |
import os
import requests
import time
from tests.integration import TestsBase
from tests.integration.test_file_storage import VALID_KML, NOT_WELL_FORMED_KML
class TestVarnish(TestsBase):
''' Testing the Varnish 'security' configuration. As some settings are IP address dependant,
we use an external HTTP... | tests/e2e/test_varnish.py |
import os
import requests
import time
from tests.integration import TestsBase
from tests.integration.test_file_storage import VALID_KML, NOT_WELL_FORMED_KML
class TestVarnish(TestsBase):
''' Testing the Varnish 'security' configuration. As some settings are IP address dependant,
we use an external HTTP... | 0.470737 | 0.174059 |
import re
import json
from collections import defaultdict
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse, FormRequest
from scrapy.utils.response import get_base_url
from scrapy.utils.url import urljoin_rfc
from product_spiders.items imp... | portfolio/Python/scrapy/instrumart/transcat.py | import re
import json
from collections import defaultdict
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse, FormRequest
from scrapy.utils.response import get_base_url
from scrapy.utils.url import urljoin_rfc
from product_spiders.items imp... | 0.275714 | 0.072472 |
import numpy as np
from scipy import ndimage as nd
from nilabels.tools.aux_methods.utils_nib import set_new_data
def contour_from_array_at_label(im_arr, lab, thr=0.3, omit_axis=None, verbose=0):
"""
Get the contour of a single label
:param im_arr: input array with segmentation
:param lab: considered ... | nilabels/tools/detections/contours.py | import numpy as np
from scipy import ndimage as nd
from nilabels.tools.aux_methods.utils_nib import set_new_data
def contour_from_array_at_label(im_arr, lab, thr=0.3, omit_axis=None, verbose=0):
"""
Get the contour of a single label
:param im_arr: input array with segmentation
:param lab: considered ... | 0.870556 | 0.799873 |
import ast
import requests
import configparser
from flask import Flask, request, jsonify, render_template
from flask import Flask, request
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app)
a = 5.0
b = 5.0
c = 5.0
d = 5.0
e = 5.0
f = 5.0
g = 5.0
h = 5.0
i = 5.0
j = 5.0
k = 5.0
l = 5.0
m = 5.0
... | main.py | import ast
import requests
import configparser
from flask import Flask, request, jsonify, render_template
from flask import Flask, request
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app)
a = 5.0
b = 5.0
c = 5.0
d = 5.0
e = 5.0
f = 5.0
g = 5.0
h = 5.0
i = 5.0
j = 5.0
k = 5.0
l = 5.0
m = 5.0
... | 0.095941 | 0.097648 |
import lasagne
import theano
import lasagne.layers as L
import theano.tensor as T
import numpy as np
import sys
import time
from deep_dialog import dialog_config
from collections import Counter, defaultdict, deque
import random
import cPickle as pkl
EPS = 1e-10
def categorical_sample(probs, mode='sample'):
if ... | deep_dialog/agents/agent_lu_rl.py | import lasagne
import theano
import lasagne.layers as L
import theano.tensor as T
import numpy as np
import sys
import time
from deep_dialog import dialog_config
from collections import Counter, defaultdict, deque
import random
import cPickle as pkl
EPS = 1e-10
def categorical_sample(probs, mode='sample'):
if ... | 0.257485 | 0.213992 |
"""Low-level, core functionality for DayDream"""
__all__ = ['DayDreamError', 'Reference', 'Aggregator']
from copy import copy, deepcopy
from functools import reduce
from operator import add
from typing import Any, AbstractSet, Set, Optional, Union
class DayDreamError(Exception):
"""Error for package-specific is... | defn/core.py | """Low-level, core functionality for DayDream"""
__all__ = ['DayDreamError', 'Reference', 'Aggregator']
from copy import copy, deepcopy
from functools import reduce
from operator import add
from typing import Any, AbstractSet, Set, Optional, Union
class DayDreamError(Exception):
"""Error for package-specific is... | 0.89785 | 0.333693 |
import typing
from .error import fatalError, warnOrError
class Named:
def __init__(
self, name: str, context: "Named" = None, private: bool = False, inner: bool = False
):
self._name: str = name
sep = "$" if inner else "."
self._longname: str = (
f"{context.longnam... | bareAST/bare/scope.py | import typing
from .error import fatalError, warnOrError
class Named:
def __init__(
self, name: str, context: "Named" = None, private: bool = False, inner: bool = False
):
self._name: str = name
sep = "$" if inner else "."
self._longname: str = (
f"{context.longnam... | 0.635109 | 0.19789 |
import calc_postion
import datetime
import backend
import json
import io
from baselib import error_print
from flask import Flask, render_template, make_response
from flask import request
from flask_restful import reqparse, abort, Api, Resource
app = Flask(__name__)
api_loader = Api(app)
parser = reqparse.Request... | gpsmap/work_app.py | import calc_postion
import datetime
import backend
import json
import io
from baselib import error_print
from flask import Flask, render_template, make_response
from flask import request
from flask_restful import reqparse, abort, Api, Resource
app = Flask(__name__)
api_loader = Api(app)
parser = reqparse.Request... | 0.243642 | 0.143638 |
from functools import partial
import time
import os
import sys
import threading
import resotolib.proc
from typing import List, Dict
from .config import add_config
from resotolib.config import Config
from resotolib.logger import log, setup_logger, add_args as logging_add_args
from resotolib.jwt import add_args as jwt_ad... | resotoworker/resotoworker/__main__.py | from functools import partial
import time
import os
import sys
import threading
import resotolib.proc
from typing import List, Dict
from .config import add_config
from resotolib.config import Config
from resotolib.logger import log, setup_logger, add_args as logging_add_args
from resotolib.jwt import add_args as jwt_ad... | 0.405802 | 0.08882 |
import numpy as np
class OneHiddenLayerNN:
"""
@brief: One hidden layer neural network with batch gradient descent.
Currently supporting only relu, tanh and sigmoid activation functions.
"""
def __init__(self, number_of_neurons, batch_size = 20, hidden_activation='relu',
... | one_hidden_layer_nn.py | import numpy as np
class OneHiddenLayerNN:
"""
@brief: One hidden layer neural network with batch gradient descent.
Currently supporting only relu, tanh and sigmoid activation functions.
"""
def __init__(self, number_of_neurons, batch_size = 20, hidden_activation='relu',
... | 0.883513 | 0.687918 |
import time
import os
import psycopg2
import csv
import pandas as pd
import re
import tweepy
import json
from datetime import timedelta
from datetime import datetime
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from collections import defaultdict
def twitter_str_to_dt(dt_str):
retur... | twitter2sql/core/util.py | import time
import os
import psycopg2
import csv
import pandas as pd
import re
import tweepy
import json
from datetime import timedelta
from datetime import datetime
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from collections import defaultdict
def twitter_str_to_dt(dt_str):
retur... | 0.299617 | 0.059811 |
from fastapi import HTTPException
from iso639 import languages
import pytest
from textblob import TextBlob
from app.internal.translation import (
_detect_text_language, _get_language_code, _get_user_language,
translate_text, translate_text_for_user
)
TEXT = [
("Привет мой друг", "english", "russian"),
... | tests/test_translation.py | from fastapi import HTTPException
from iso639 import languages
import pytest
from textblob import TextBlob
from app.internal.translation import (
_detect_text_language, _get_language_code, _get_user_language,
translate_text, translate_text_for_user
)
TEXT = [
("Привет мой друг", "english", "russian"),
... | 0.503418 | 0.333246 |
import json
import os
import copy
from Evaluate import cocoTools
sourceJsonPath = './rainSnowGt.json'
destDir = ''
with open('./splitSequenceTranslator.json') as f:
splitSequenceTranslator = json.load(f)
# List rain removal methods here
methods = ['baseline',
'Fu2017',
'GargNayar/Median',
... | InstanceSegmentation/copyJsonForRainSnow.py | import json
import os
import copy
from Evaluate import cocoTools
sourceJsonPath = './rainSnowGt.json'
destDir = ''
with open('./splitSequenceTranslator.json') as f:
splitSequenceTranslator = json.load(f)
# List rain removal methods here
methods = ['baseline',
'Fu2017',
'GargNayar/Median',
... | 0.250271 | 0.17849 |
import abc
import spar_python.query_generation.query_schema as qs
"""
This class represents the vertical integration of creating aggregators
for queries, refining the queries within the batch, and writing the
selected queries and their results to the results database within one
object.
"""
class QueryBatch(object):... | spar_python/query_generation/BOQs/query_batch.py |
import abc
import spar_python.query_generation.query_schema as qs
"""
This class represents the vertical integration of creating aggregators
for queries, refining the queries within the batch, and writing the
selected queries and their results to the results database within one
object.
"""
class QueryBatch(object):... | 0.740456 | 0.403596 |
from sentiment_analysis import SentiStrength
from question_analysis.post import Post
import json
import os
class FeatureAnalysis:
def __init__(self,request={},config_file="config_question_analysis.json"):
in_file=open(os.path.dirname(os.path.abspath(__file__))+'/'+config_file,"r")
self.__config=json.loads(in_fil... | src/question_analysis/feature_analysis.py | from sentiment_analysis import SentiStrength
from question_analysis.post import Post
import json
import os
class FeatureAnalysis:
def __init__(self,request={},config_file="config_question_analysis.json"):
in_file=open(os.path.dirname(os.path.abspath(__file__))+'/'+config_file,"r")
self.__config=json.loads(in_fil... | 0.174762 | 0.132374 |
import os
from india_wris.base import WaterQualityBase
DATASET_NAME = 'India_WRIS_Surface'
## Defining MCF and TMCF template nodes
SOLUTE_MCF_NODES = """Node: dcid:Concentration_{variable}_BodyOfWater_SurfaceWater
name: Concentration of {variable}, SurfaceWater
typeOf: dcs:StatisticalVariable
populationType: dcs:Bo... | scripts/india_wris/India_WRIS_Surface/preprocess.py |
import os
from india_wris.base import WaterQualityBase
DATASET_NAME = 'India_WRIS_Surface'
## Defining MCF and TMCF template nodes
SOLUTE_MCF_NODES = """Node: dcid:Concentration_{variable}_BodyOfWater_SurfaceWater
name: Concentration of {variable}, SurfaceWater
typeOf: dcs:StatisticalVariable
populationType: dcs:Bo... | 0.40592 | 0.418697 |
set_name(0x8007B9C0, "GetTpY__FUs", SN_NOWARN)
set_name(0x8007B9DC, "GetTpX__FUs", SN_NOWARN)
set_name(0x8007B9E8, "Remove96__Fv", SN_NOWARN)
set_name(0x8007BA20, "AppMain", SN_NOWARN)
set_name(0x8007BAC0, "MAIN_RestartGameTask__Fv", SN_NOWARN)
set_name(0x8007BAEC, "GameTask__FP4TASK", SN_NOWARN)
set_name(0x8007BBD4, "... | psx/_dump_/35/_dump_ida_/make_psx.py | set_name(0x8007B9C0, "GetTpY__FUs", SN_NOWARN)
set_name(0x8007B9DC, "GetTpX__FUs", SN_NOWARN)
set_name(0x8007B9E8, "Remove96__Fv", SN_NOWARN)
set_name(0x8007BA20, "AppMain", SN_NOWARN)
set_name(0x8007BAC0, "MAIN_RestartGameTask__Fv", SN_NOWARN)
set_name(0x8007BAEC, "GameTask__FP4TASK", SN_NOWARN)
set_name(0x8007BBD4, "... | 0.16175 | 0.060891 |
import sys
import dlib
import cv2
import os
import argparse
import largest_face_detector
import copy
Images_Folder = 'train/personB'
OutFace_Folder = 'train/personB_face/'
Images_Path = os.path.join(os.path.realpath('.'), Images_Folder)
Out_Path = os.path.join(os.path.realpath('.'), OutFace_Folder)
pictures = os.li... | Ref/deepfake-pytorch/crop_face.py |
import sys
import dlib
import cv2
import os
import argparse
import largest_face_detector
import copy
Images_Folder = 'train/personB'
OutFace_Folder = 'train/personB_face/'
Images_Path = os.path.join(os.path.realpath('.'), Images_Folder)
Out_Path = os.path.join(os.path.realpath('.'), OutFace_Folder)
pictures = os.li... | 0.188026 | 0.136464 |
import unittest
from kubedriver.kubeobjects.names import NameHelper
class TestNameHelper(unittest.TestCase):
def setUp(self):
self.helper = NameHelper()
def test_is_valid_subdomain_name_allows_lowercase(self):
valid, reason = self.helper.is_valid_subdomain_name('testing')
self.assertI... | tests/unit/kubeobjects/test_names.py | import unittest
from kubedriver.kubeobjects.names import NameHelper
class TestNameHelper(unittest.TestCase):
def setUp(self):
self.helper = NameHelper()
def test_is_valid_subdomain_name_allows_lowercase(self):
valid, reason = self.helper.is_valid_subdomain_name('testing')
self.assertI... | 0.683525 | 0.501526 |
# Description:
# This tool helps you to find hack attempts
# within webserver log files (e.g. Apache2 access logs).
# Features:
# - Error handling
# - Scan a log file for four different attack types
# - Display a short scan report
# - Write scan results to a new log file
# - Easy to use (everything is simple and auto... | machine-learning-gists/a25a81cdaf63c90d0c08cb466a0371b8f9273d00/snippet.py |
# Description:
# This tool helps you to find hack attempts
# within webserver log files (e.g. Apache2 access logs).
# Features:
# - Error handling
# - Scan a log file for four different attack types
# - Display a short scan report
# - Write scan results to a new log file
# - Easy to use (everything is simple and auto... | 0.46223 | 0.197541 |
import pytest
import pyeventdispatcher
from pyeventdispatcher import (
EventDispatcher,
Event,
EventDispatcherException,
EventSubscriber,
listen,
)
from pyeventdispatcher.event_dispatcher import (
MemoryRegistry,
register_global_listener,
register_event_subscribers,
)
class TestRegist... | test/test_pyeventdispatcher.py | import pytest
import pyeventdispatcher
from pyeventdispatcher import (
EventDispatcher,
Event,
EventDispatcherException,
EventSubscriber,
listen,
)
from pyeventdispatcher.event_dispatcher import (
MemoryRegistry,
register_global_listener,
register_event_subscribers,
)
class TestRegist... | 0.530723 | 0.413536 |
import base64
import subprocess
import json
import sys
import logging
import requests
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
from urllib.parse import urljoin
from kubernetes import client, config
class APIRequest(object):
"""
Example use:
api... | goss-testing/scripts/python/check_ncn_uan_ip_dns.py | import base64
import subprocess
import json
import sys
import logging
import requests
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
from urllib.parse import urljoin
from kubernetes import client, config
class APIRequest(object):
"""
Example use:
api... | 0.126961 | 0.048858 |
import smbus
import time
HTS221_ADDR = 0x5F
HTS221_WHO_AM_I = 0x0F
HTS221_ID = 0xBC
HTS221_AV_CONF = 0x10
HTS221_CTRL_REG1 = 0x20
# Humidity
HTS221_H0_rH_x2 = 0x30
HTS221_H1_rH_x2 = 0x31
HTS221_H0_T0_OUT_L = 0x36
HTS221_H0_T0_OUT_H = 0x37
HTS221_H1_T0_OUT_L = 0x3A
HTS221_H1_T0_OUT_H = 0x3B
HTS221_H_OUT_L = 0x28
HTS22... | CZNBIoT/HTS221.py | import smbus
import time
HTS221_ADDR = 0x5F
HTS221_WHO_AM_I = 0x0F
HTS221_ID = 0xBC
HTS221_AV_CONF = 0x10
HTS221_CTRL_REG1 = 0x20
# Humidity
HTS221_H0_rH_x2 = 0x30
HTS221_H1_rH_x2 = 0x31
HTS221_H0_T0_OUT_L = 0x36
HTS221_H0_T0_OUT_H = 0x37
HTS221_H1_T0_OUT_L = 0x3A
HTS221_H1_T0_OUT_H = 0x3B
HTS221_H_OUT_L = 0x28
HTS22... | 0.379608 | 0.240017 |
import copy
class System:
pass
class LinearSystem(System):
def __init__(self, equations):
self.equations = equations
def __str__(self):
eqsStr = []
greaterEqualSignPos = 0
for eq in self.equations:
eqStr = str(eq)
equalSignPos = eqStr.find('=')
if equalSignPos > greaterEqualSignPos:
greate... | main.py |
import copy
class System:
pass
class LinearSystem(System):
def __init__(self, equations):
self.equations = equations
def __str__(self):
eqsStr = []
greaterEqualSignPos = 0
for eq in self.equations:
eqStr = str(eq)
equalSignPos = eqStr.find('=')
if equalSignPos > greaterEqualSignPos:
greate... | 0.425605 | 0.305089 |
import sys
sys.path.append('/home/george2/Raise/ProgramRepair/CodeSeer/projects/src/main/python')
from CodeJam.Y14R5P1.Grzesiu.A import *
def func_0c1046dd31d944ea823eab991f0e63dc(totalsum, b, a):
kA = totalsum[a - 1] if a > 0 else 0
kB = totalsum[b] - kA
return kA
def func_422fc4f073a5491ca907af45698930... | projects/src/main/python/CodeJam/Y14R5P1/Grzesiu/generated_py_84e0dc4f0d374ae0ba338a870469e2f9.py | import sys
sys.path.append('/home/george2/Raise/ProgramRepair/CodeSeer/projects/src/main/python')
from CodeJam.Y14R5P1.Grzesiu.A import *
def func_0c1046dd31d944ea823eab991f0e63dc(totalsum, b, a):
kA = totalsum[a - 1] if a > 0 else 0
kB = totalsum[b] - kA
return kA
def func_422fc4f073a5491ca907af45698930... | 0.205535 | 0.34798 |
from __future__ import absolute_import
from __future__ import print_function
import sys
import getopt
import os
import csv
from six.moves import range
from six.moves import zip
PROG = os.path.basename(sys.argv[0])
def main(args):
opts, args = getopt.getopt(args, "f:s:hk:H")
func = None
sep = ","
lamb... | data_filters/src/filter.py | from __future__ import absolute_import
from __future__ import print_function
import sys
import getopt
import os
import csv
from six.moves import range
from six.moves import zip
PROG = os.path.basename(sys.argv[0])
def main(args):
opts, args = getopt.getopt(args, "f:s:hk:H")
func = None
sep = ","
lamb... | 0.308086 | 0.142411 |
from src.params.NeuronTypes import *
class ParamsIzhikevich:
"""
This class contains Izhikevich parameters.
:param peak_potential: potential at which spikes terminate.
:type peak_potential: float
:param alpha_E: describes the timescale of recovery for excitatory neurons.
:type alpha_E: float... | src/params/ParamsIzhikevich.py | from src.params.NeuronTypes import *
class ParamsIzhikevich:
"""
This class contains Izhikevich parameters.
:param peak_potential: potential at which spikes terminate.
:type peak_potential: float
:param alpha_E: describes the timescale of recovery for excitatory neurons.
:type alpha_E: float... | 0.9231 | 0.812867 |
class Filter:
exactKeyFilter = ['name', 'ele', 'comment', 'image', 'symbol', 'deanery', 'jel', 'rating', 'school:FR', 'alt', 'is_in', 'url', 'web',
'wikipedia', 'email', 'converted_by', 'phone', 'opening_hours', 'date', 'time', 'collection_times', 'website',
'colour', 'f... | OSMTagFinder/thesaurus/filter.py | class Filter:
exactKeyFilter = ['name', 'ele', 'comment', 'image', 'symbol', 'deanery', 'jel', 'rating', 'school:FR', 'alt', 'is_in', 'url', 'web',
'wikipedia', 'email', 'converted_by', 'phone', 'opening_hours', 'date', 'time', 'collection_times', 'website',
'colour', 'f... | 0.494385 | 0.433082 |
import os
import re
import sys
import math
import time
import jieba
import torch
import config # 常规参数设置
import random
import argparse
import numpy as np
import pandas as pd
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
from torch.autograd import Variable
from preprocessin... | gru_seq2seq/evaluate.py | import os
import re
import sys
import math
import time
import jieba
import torch
import config # 常规参数设置
import random
import argparse
import numpy as np
import pandas as pd
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
from torch.autograd import Variable
from preprocessin... | 0.145813 | 0.060363 |
import numpy as np
from qlazy import QState
Hamming = np.array([[0,1,1,1,1,0,0], [1,0,1,1,0,1,0], [1,1,0,1,0,0,1]])
Hamming_T = Hamming.T
Steane_0 = ['0000000', '1101001', '1011010', '0110011',
'0111100', '1010101', '1100110', '0001111']
Steane_1 = ['1111111', '0010110', '0100101', '1001100',
... | example/py/ErrorCorrection/steane_code_0.py | import numpy as np
from qlazy import QState
Hamming = np.array([[0,1,1,1,1,0,0], [1,0,1,1,0,1,0], [1,1,0,1,0,0,1]])
Hamming_T = Hamming.T
Steane_0 = ['0000000', '1101001', '1011010', '0110011',
'0111100', '1010101', '1100110', '0001111']
Steane_1 = ['1111111', '0010110', '0100101', '1001100',
... | 0.50293 | 0.459925 |
import sys
from xml.sax.saxutils import escape
USAGE_TEXT = """
usage:
python3 Ch02Ex04.py [maxwidth=int] [format=str] <infile.csv> <outfile.html>
maxwidth is an optional integer; if specified, it sets the maximum
number of characters that can be output for string fields,
otherwise a default of 100 characters is used... | Chapter 02/Ch02Ex04.py | import sys
from xml.sax.saxutils import escape
USAGE_TEXT = """
usage:
python3 Ch02Ex04.py [maxwidth=int] [format=str] <infile.csv> <outfile.html>
maxwidth is an optional integer; if specified, it sets the maximum
number of characters that can be output for string fields,
otherwise a default of 100 characters is used... | 0.260672 | 0.139279 |
"""Take usage data .csv file from SCE, parse it, and analyze it"""
import sys
import os
import re
import datetime
from power_plotting import PowerPlotting
def print_usage(error_string=""):
"""Print usage in the case of bad inputs"""
script_name = os.path.basename(__file__)
print "==========================... | power_parser.py | """Take usage data .csv file from SCE, parse it, and analyze it"""
import sys
import os
import re
import datetime
from power_plotting import PowerPlotting
def print_usage(error_string=""):
"""Print usage in the case of bad inputs"""
script_name = os.path.basename(__file__)
print "==========================... | 0.369884 | 0.38027 |
import random
from pathlib import Path
import numpy as np
import tensorflow as tf
from models.PositiveLearningElkan.pu_learning import PULogisticRegressionSK
from models.baselines import LogisticRegressionSK
from models.recurrent.basic_recurrent import BasicRecurrent
from project_paths import ProjectPaths
from run_fi... | run_files/random_sample_train.py | import random
from pathlib import Path
import numpy as np
import tensorflow as tf
from models.PositiveLearningElkan.pu_learning import PULogisticRegressionSK
from models.baselines import LogisticRegressionSK
from models.recurrent.basic_recurrent import BasicRecurrent
from project_paths import ProjectPaths
from run_fi... | 0.563618 | 0.268538 |
import scrapy
from alleco.objects.official import Official
class braddock_b(scrapy.Spider):
name = "braddock_b"
muniName = "BRADDOCK"
muniType = "BOROUGH"
complete = True
def start_requests(self):
urls = ['http://www.braddockborough.com/council/',
'http://www.braddockborough.com/staff',
'ht... | alleco/spiders/braddock_b.py | import scrapy
from alleco.objects.official import Official
class braddock_b(scrapy.Spider):
name = "braddock_b"
muniName = "BRADDOCK"
muniType = "BOROUGH"
complete = True
def start_requests(self):
urls = ['http://www.braddockborough.com/council/',
'http://www.braddockborough.com/staff',
'ht... | 0.064831 | 0.140926 |
#SILENCING THE FALSE POSITIVE WARNINGS
import warnings
warnings.simplefilter('always')
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=pd.core.common.SettingWithCopyWarning)
#IMPORTING DEPENDENCIES
import tensorflow as tf
import pandas as pd
import numpy as np
from tensorflow.keras.prepr... | .py files/decisiontreeclassifier_unpruned(fake_news_detection).py | #SILENCING THE FALSE POSITIVE WARNINGS
import warnings
warnings.simplefilter('always')
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=pd.core.common.SettingWithCopyWarning)
#IMPORTING DEPENDENCIES
import tensorflow as tf
import pandas as pd
import numpy as np
from tensorflow.keras.prepr... | 0.357119 | 0.260754 |
import base64
import rapidjson
import logging
import asyncio
# redis pool
import aioredis
from aiohttp import web, hdrs
from .base import BaseAuthBackend
from navigator.exceptions import (
NavException,
UserDoesntExists,
InvalidAuth
)
from datetime import datetime, timedelta
from navigator.conf import (
... | navigator/auth/backends/django.py | import base64
import rapidjson
import logging
import asyncio
# redis pool
import aioredis
from aiohttp import web, hdrs
from .base import BaseAuthBackend
from navigator.exceptions import (
NavException,
UserDoesntExists,
InvalidAuth
)
from datetime import datetime, timedelta
from navigator.conf import (
... | 0.475605 | 0.080683 |
import os
import json
import iso8601
from hashlib import sha256
import requests
from requests.compat import urlencode
PYBOSSA_API_KEY = os.environ.get("PYBOSSA_API_KEY")
SCISTARTER_API_KEY = os.environ.get("SCISTARTER_API_KEY")
def retrieve_email(user_id):
"""
Input: A user_id mapping to some User Profile... | vdashboard/scistarter.py | import os
import json
import iso8601
from hashlib import sha256
import requests
from requests.compat import urlencode
PYBOSSA_API_KEY = os.environ.get("PYBOSSA_API_KEY")
SCISTARTER_API_KEY = os.environ.get("SCISTARTER_API_KEY")
def retrieve_email(user_id):
"""
Input: A user_id mapping to some User Profile... | 0.588889 | 0.171651 |
import django.db.models.deletion
from django.conf import settings
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("contenttypes", "0002_remove_content_type_name"),
... | checkerapp/migrations/0012_alertplugin_alertpluginuserdata.py | import django.db.models.deletion
from django.conf import settings
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("contenttypes", "0002_remove_content_type_name"),
... | 0.426799 | 0.124266 |
import datetime
import json
import logging
from decimal import Decimal
from typing import Generator, Tuple
import boto3
from botocore.config import Config
from igata import settings
logger = logging.getLogger("cliexecutor")
TEN_SECONDS = 10
config = Config(connect_timeout=TEN_SECONDS, retries={"max_attempts": 5})
D... | igata/handlers/aws/output/utils.py | import datetime
import json
import logging
from decimal import Decimal
from typing import Generator, Tuple
import boto3
from botocore.config import Config
from igata import settings
logger = logging.getLogger("cliexecutor")
TEN_SECONDS = 10
config = Config(connect_timeout=TEN_SECONDS, retries={"max_attempts": 5})
D... | 0.658966 | 0.291731 |
import json
import requests
from config import Config, CAR0, CAR1, CAR2, CAR3 #pylint: disable=unused-import
class Coordinator:
"""
Provides all communication between the Starting Gate and the Race Coordinator
The local race controller communicates with the Race Coordinator at via 4 interactions:
*... | StartingGate/coordinator.py | import json
import requests
from config import Config, CAR0, CAR1, CAR2, CAR3 #pylint: disable=unused-import
class Coordinator:
"""
Provides all communication between the Starting Gate and the Race Coordinator
The local race controller communicates with the Race Coordinator at via 4 interactions:
*... | 0.606265 | 0.294262 |
from django.conf import settings
from django.contrib.auth import get_backends
from django.utils.functional import cached_property
from social_core.backends.base import BaseAuth
class BackendMetaMetaclass(type):
def __new__(mcs, name, bases, attrs):
cls = type.__new__(mcs, name, bases, attrs)
if cl... | forsta_auth/backend_meta.py | from django.conf import settings
from django.contrib.auth import get_backends
from django.utils.functional import cached_property
from social_core.backends.base import BaseAuth
class BackendMetaMetaclass(type):
def __new__(mcs, name, bases, attrs):
cls = type.__new__(mcs, name, bases, attrs)
if cl... | 0.554832 | 0.070977 |
import pandas as pd
TIME = {
'a': 3,
'b': 5,
'c': 2,
'd': 4,
'e': 3,
'f': 1,
'g': 4,
'h': 3,
'i': 3,
'j': 2,
'k': 5
}
# Функция формирования таблицы.
def create_table(data_, id_):
with pd.option_context('display.width', None):
table = pd.DataFrame(data_, index... | lab7/main.py |
import pandas as pd
TIME = {
'a': 3,
'b': 5,
'c': 2,
'd': 4,
'e': 3,
'f': 1,
'g': 4,
'h': 3,
'i': 3,
'j': 2,
'k': 5
}
# Функция формирования таблицы.
def create_table(data_, id_):
with pd.option_context('display.width', None):
table = pd.DataFrame(data_, index... | 0.224565 | 0.318684 |
# Manage DNS Records
# Functions:
# - Add
# - Update
# - Delete
# Usage:
# ./dns_records.py <zone_id> <command> [name] [type] [content] [ttl] [record_id]
# WGM CloudFlare integration
import cf
# WGM DB Integration
import wgm_db
# Other dependencies
import sys
import psycopg2.extras
def update_dns_record(zone_id,rec... | wgm/cli/dns/dns_records.py |
# Manage DNS Records
# Functions:
# - Add
# - Update
# - Delete
# Usage:
# ./dns_records.py <zone_id> <command> [name] [type] [content] [ttl] [record_id]
# WGM CloudFlare integration
import cf
# WGM DB Integration
import wgm_db
# Other dependencies
import sys
import psycopg2.extras
def update_dns_record(zone_id,rec... | 0.106058 | 0.089694 |
import math
import components_3d as com
import esper
import glm
import pygame
import pygame.locals
import resources as res
def add_systems_1_to_world(world):
world.add_processor(GameControlSystem())
def add_systems_2_to_world(world):
world.add_processor(ThirdPersonCameraSystem())
world.add_processor(Fr... | src/control_system.py | import math
import components_3d as com
import esper
import glm
import pygame
import pygame.locals
import resources as res
def add_systems_1_to_world(world):
world.add_processor(GameControlSystem())
def add_systems_2_to_world(world):
world.add_processor(ThirdPersonCameraSystem())
world.add_processor(Fr... | 0.383295 | 0.272917 |
from unittest import TestCase
from exceptions import InvalidCardSize, InvalidPlayerMove
from game.game_state_machine import GameStateMachine
from game.game_variant import GameVariantGrand
from game.state.game_state_bid import GameStateBid, BidStateCallTurn, BidCallAction, BidStateResponseTurn, \
BidAcceptAction, B... | tests/game/state/test_game_state_bid.py | from unittest import TestCase
from exceptions import InvalidCardSize, InvalidPlayerMove
from game.game_state_machine import GameStateMachine
from game.game_variant import GameVariantGrand
from game.state.game_state_bid import GameStateBid, BidStateCallTurn, BidCallAction, BidStateResponseTurn, \
BidAcceptAction, B... | 0.400515 | 0.308529 |
from __future__ import unicode_literals
from rest_framework.views import APIView
from rest_framework.parsers import JSONParser
from rest_framework.response import Response
from rest_framework import status
from credocommon.exceptions import RegistrationException
from credoapiv2.authentication import DRFTokenAuthenti... | credoapiv2/views.py | from __future__ import unicode_literals
from rest_framework.views import APIView
from rest_framework.parsers import JSONParser
from rest_framework.response import Response
from rest_framework import status
from credocommon.exceptions import RegistrationException
from credoapiv2.authentication import DRFTokenAuthenti... | 0.500244 | 0.088583 |
from __future__ import absolute_import
import sys
from esky.util import lazy_import
@lazy_import
def os():
import os
return os
@lazy_import
def tempfile():
import tempfile
return tempfile
@lazy_import
def threading():
try:
import threading
except ImportError:
threading = No... | esky/slaveproc.py | from __future__ import absolute_import
import sys
from esky.util import lazy_import
@lazy_import
def os():
import os
return os
@lazy_import
def tempfile():
import tempfile
return tempfile
@lazy_import
def threading():
try:
import threading
except ImportError:
threading = No... | 0.382949 | 0.124612 |
import random
from typing import Type, Union, Dict, Any, List, Tuple
# 3rd party imports
import streamlit as st
import numpy as np
import pandas as pd
import altair as alt
import seaborn as sns
from wordcloud import WordCloud
from yellowbrick.classifier import classification_report
from sklearn.model_selection import ... | pywebconf_st.py | import random
from typing import Type, Union, Dict, Any, List, Tuple
# 3rd party imports
import streamlit as st
import numpy as np
import pandas as pd
import altair as alt
import seaborn as sns
from wordcloud import WordCloud
from yellowbrick.classifier import classification_report
from sklearn.model_selection import ... | 0.847211 | 0.379608 |
import os
import shutil
import math
import time
import menpo.io as mio
import menpo3d.io as m3io
import numpy as np
from pathlib import Path
from functools import partial
# deepmachine
import keras
import tensorflow as tf
import deepmachine as dm
# flag definitions
from deepmachine.flags import FLAGS
def main():
... | deepmachine/contrib/training/DenseRegFace.py | import os
import shutil
import math
import time
import menpo.io as mio
import menpo3d.io as m3io
import numpy as np
from pathlib import Path
from functools import partial
# deepmachine
import keras
import tensorflow as tf
import deepmachine as dm
# flag definitions
from deepmachine.flags import FLAGS
def main():
... | 0.537284 | 0.183246 |
import logging
import os.path
import subprocess
import tarfile
import tempfile
from dbnd import output, task
from dbnd._core.constants import CloudType
from dbnd._core.errors import DatabandRuntimeError
from dbnd._core.utils.timezone import utcnow
from targets.types import Path
logger = logging.getLogger(__name__)
... | modules/dbnd/src/dbnd/tasks/basics/export.py | import logging
import os.path
import subprocess
import tarfile
import tempfile
from dbnd import output, task
from dbnd._core.constants import CloudType
from dbnd._core.errors import DatabandRuntimeError
from dbnd._core.utils.timezone import utcnow
from targets.types import Path
logger = logging.getLogger(__name__)
... | 0.26218 | 0.069668 |
import cv2
from image_morphing.np import np, GPU
from image_morphing.utils import load_points, resize_v
from image_morphing.render import render_animation
from image_morphing.optimize_v import adam
from image_morphing.quadratic_motion_path import adam_w
import os
def image_morphing(img0_path, img1_path, p0_path, p1_pa... | image_morphing/morpher.py | import cv2
from image_morphing.np import np, GPU
from image_morphing.utils import load_points, resize_v
from image_morphing.render import render_animation
from image_morphing.optimize_v import adam
from image_morphing.quadratic_motion_path import adam_w
import os
def image_morphing(img0_path, img1_path, p0_path, p1_pa... | 0.386532 | 0.24271 |
import os
from pathlib import Path
import albumentations as A
import cv2
import matplotlib.pyplot as plt
import torch
from albumentations.pytorch import ToTensorV2
from ignite.contrib.handlers import ProgressBar
from ignite.contrib.metrics import GpuInfo
from ignite.engine import Events, create_supervised_evaluator, c... | unet/train.py | import os
from pathlib import Path
import albumentations as A
import cv2
import matplotlib.pyplot as plt
import torch
from albumentations.pytorch import ToTensorV2
from ignite.contrib.handlers import ProgressBar
from ignite.contrib.metrics import GpuInfo
from ignite.engine import Events, create_supervised_evaluator, c... | 0.782164 | 0.356587 |
import builtins
import keyword
import sys
import textwrap
from typing import Any, List, Optional, TextIO, Tuple
import pydantic
from . import utils
def build_from_document(doc: dict) -> dict:
return build_models(doc["schemas"])
def build_models(schemas: dict) -> dict:
"""Create schema models from an API s... | src/verydisco/schemas.py | import builtins
import keyword
import sys
import textwrap
from typing import Any, List, Optional, TextIO, Tuple
import pydantic
from . import utils
def build_from_document(doc: dict) -> dict:
return build_models(doc["schemas"])
def build_models(schemas: dict) -> dict:
"""Create schema models from an API s... | 0.656328 | 0.241959 |
from __future__ import annotations
from typing import Tuple, Union, Any, Optional
from engine.threed.base.plane import AbstractPlane
from engine.threed.base.vector import AbstractVector
from engine.threed.base.point import AbstractPoint
from engine.threed.base.line import AbstractLine
from engine.threed.point import ... | engine/threed/plane.py | from __future__ import annotations
from typing import Tuple, Union, Any, Optional
from engine.threed.base.plane import AbstractPlane
from engine.threed.base.vector import AbstractVector
from engine.threed.base.point import AbstractPoint
from engine.threed.base.line import AbstractLine
from engine.threed.point import ... | 0.968306 | 0.568655 |
import logging
import pyarrow as pa
import pyarrow.csv as pv
import pyarrow.parquet as pq
from dataset_builder.exceptions.exceptions import BuilderStepError
logger = logging.getLogger()
def _get_read_options():
return pv.ReadOptions(
skip_rows=0,
encoding="utf8",
column_names=[
... | dataset_builder/steps/dataset_converter.py | import logging
import pyarrow as pa
import pyarrow.csv as pv
import pyarrow.parquet as pq
from dataset_builder.exceptions.exceptions import BuilderStepError
logger = logging.getLogger()
def _get_read_options():
return pv.ReadOptions(
skip_rows=0,
encoding="utf8",
column_names=[
... | 0.461502 | 0.213039 |
from ion_functions.data.perf.test_performance import PerformanceTestCase, a_deca
from ion_functions.data import opt_functions as optfunc
import numpy as np
class TestOPTAAPerformance(PerformanceTestCase):
def setUp(self):
### realistic values for ac-s data packets:
n_wvl = 90 # number of wavelen... | ion_functions/data/perf/test_opt_performance.py | from ion_functions.data.perf.test_performance import PerformanceTestCase, a_deca
from ion_functions.data import opt_functions as optfunc
import numpy as np
class TestOPTAAPerformance(PerformanceTestCase):
def setUp(self):
### realistic values for ac-s data packets:
n_wvl = 90 # number of wavelen... | 0.498779 | 0.512693 |
import numpy as np
import tensorflow as tf
class ANN(object):
def __init__(self, size, logPath):
"""
创建一个神经网络
"""
# 重置tensorflow的graph，确保神经网络可多次运行
tf.reset_default_graph()
tf.set_random_seed(1908)
self.logPath = logPath
self.layerNum = len(size)... | ch12-ann/mlp.py | import numpy as np
import tensorflow as tf
class ANN(object):
def __init__(self, size, logPath):
"""
创建一个神经网络
"""
# 重置tensorflow的graph，确保神经网络可多次运行
tf.reset_default_graph()
tf.set_random_seed(1908)
self.logPath = logPath
self.layerNum = len(size)... | 0.581065 | 0.549943 |
from sns_boomerang.common.items import sns_client, Job, Topic, JOB_TABLE
from contextlib import contextmanager
import pytest
from unittest.mock import MagicMock
from datetime import datetime
def test_new_job():
job = Job('topic', 'payload', 123)
assert job.id
assert job.topic == 'topic'
assert job.pay... | tests/test_item_job.py | from sns_boomerang.common.items import sns_client, Job, Topic, JOB_TABLE
from contextlib import contextmanager
import pytest
from unittest.mock import MagicMock
from datetime import datetime
def test_new_job():
job = Job('topic', 'payload', 123)
assert job.id
assert job.topic == 'topic'
assert job.pay... | 0.520496 | 0.468122 |
__author__ = '<EMAIL> (<NAME>)'
import logging
from categories import test_set_base
from categories import test_set_params
_CATEGORY = 'reflow'
class ReflowTest(test_set_base.TestBase):
TESTS_URL_PATH = '/%s/test' % _CATEGORY
def __init__(self, key, name, doc):
test_set_base.TestBase.__init__(
se... | categories/reflow/test_set.py | __author__ = '<EMAIL> (<NAME>)'
import logging
from categories import test_set_base
from categories import test_set_params
_CATEGORY = 'reflow'
class ReflowTest(test_set_base.TestBase):
TESTS_URL_PATH = '/%s/test' % _CATEGORY
def __init__(self, key, name, doc):
test_set_base.TestBase.__init__(
se... | 0.713931 | 0.411702 |
__version__ = "1.0"
__author__ = "2-REC"
import logging
logger = logging.getLogger(__name__)
from Qt.QtCore import Qt as qt
from Qt.QtWidgets import (
QMessageBox,
QTextEdit,
QDialogButtonBox,
QSizePolicy
)
class ResizableMessageBox(QMessageBox):
_max_width = 4096
_max_height = 2048
... | resizable_messagebox.py | __version__ = "1.0"
__author__ = "2-REC"
import logging
logger = logging.getLogger(__name__)
from Qt.QtCore import Qt as qt
from Qt.QtWidgets import (
QMessageBox,
QTextEdit,
QDialogButtonBox,
QSizePolicy
)
class ResizableMessageBox(QMessageBox):
_max_width = 4096
_max_height = 2048
... | 0.337968 | 0.052038 |