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 typing import List
import numpy as np
import uncertainty_wizard as uwiz
from .quantifier import ConfidenceQuantifier, ProblemType, UncertaintyQuantifier
def _check_inputs_array(inputs, quantifier_name):
"""
Checks if the input array has the right shape and properties.
Returns the array as well as ... | uncertainty_wizard/quantifiers/one_shot_classifiers.py | from typing import List
import numpy as np
import uncertainty_wizard as uwiz
from .quantifier import ConfidenceQuantifier, ProblemType, UncertaintyQuantifier
def _check_inputs_array(inputs, quantifier_name):
"""
Checks if the input array has the right shape and properties.
Returns the array as well as ... | 0.959545 | 0.830078 |
from pycatia.knowledge_interfaces.length import Length
from pycatia.part_interfaces.sketch_based_shape import SketchBasedShape
class Stiffener(SketchBasedShape):
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445)
| System.IUnknown
... | pycatia/part_interfaces/stiffener.py | from pycatia.knowledge_interfaces.length import Length
from pycatia.part_interfaces.sketch_based_shape import SketchBasedShape
class Stiffener(SketchBasedShape):
"""
.. note::
:class: toggle
CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445)
| System.IUnknown
... | 0.951661 | 0.625953 |
import numpy as np
import gym
import torch
import torch.nn as nn
import argparse
import pickle
from functools import partial
state_vector = pickle.load(open("./data/state_vector_ccadea_forward.p", "rb"))
state_labels = pickle.load(open("./data/state_labels_ccadea_forward.p", "rb"))
state_vector_train = state_vector[... | train_dynamics_prediction.py | import numpy as np
import gym
import torch
import torch.nn as nn
import argparse
import pickle
from functools import partial
state_vector = pickle.load(open("./data/state_vector_ccadea_forward.p", "rb"))
state_labels = pickle.load(open("./data/state_labels_ccadea_forward.p", "rb"))
state_vector_train = state_vector[... | 0.846863 | 0.523299 |
import numpy
import numpy as np
from grabscreen import grab_screen
import cv2
import time
from keys import PressKey, ReleaseKey, W, A, S, D
from models import inception_v3 as googlenet
from getKeys import key_check
from collections import deque, Counter
import random
from statistics import mode, mean
import numpy as np... | test/data/testModel.py | import numpy
import numpy as np
from grabscreen import grab_screen
import cv2
import time
from keys import PressKey, ReleaseKey, W, A, S, D
from models import inception_v3 as googlenet
from getKeys import key_check
from collections import deque, Counter
import random
from statistics import mode, mean
import numpy as np... | 0.319334 | 0.270095 |
import numpy as np
import os
import sys
import unittest
sys.path.append(os.path.join(
os.path.dirname(os.path.abspath(__file__)), '../build/'))
import pydeft as deft
import tools_for_tests as tools
class TestBox(unittest.TestCase):
def test_basics(self):
vectors = np.array([[2.0, 0.1, 0.2], # ... | test/test_box.py | import numpy as np
import os
import sys
import unittest
sys.path.append(os.path.join(
os.path.dirname(os.path.abspath(__file__)), '../build/'))
import pydeft as deft
import tools_for_tests as tools
class TestBox(unittest.TestCase):
def test_basics(self):
vectors = np.array([[2.0, 0.1, 0.2], # ... | 0.407333 | 0.673286 |
from anim import Anim
import skia
import math
from vectors import Vector
def drawOutlinedRect(canvas, paint, points):
canvas.drawPoints(canvas.PointMode.kPolygon_PointMode, points, paint)
canvas.drawLine(*points[0], *points[-1], paint)
def pythagoras(canvas, paint, vars):
l = vars.L
paint.setShader(s... | pythagoras.py | from anim import Anim
import skia
import math
from vectors import Vector
def drawOutlinedRect(canvas, paint, points):
canvas.drawPoints(canvas.PointMode.kPolygon_PointMode, points, paint)
canvas.drawLine(*points[0], *points[-1], paint)
def pythagoras(canvas, paint, vars):
l = vars.L
paint.setShader(s... | 0.762689 | 0.550909 |
from os.path import dirname, exists, join
from os import makedirs, remove
import logging
from .base import get_data_home
from .base import _fetch_remote, _read_description
from .base import RemoteFileMetadata
from .base import Bunch
NAME = "PEG_1chain"
DESCRIPTION = "PEG_1chain.rst"
# The original data can be found ... | MDAnalysisData/PEG_1chain.py | from os.path import dirname, exists, join
from os import makedirs, remove
import logging
from .base import get_data_home
from .base import _fetch_remote, _read_description
from .base import RemoteFileMetadata
from .base import Bunch
NAME = "PEG_1chain"
DESCRIPTION = "PEG_1chain.rst"
# The original data can be found ... | 0.612657 | 0.250191 |
from security_monkey.tests import SecurityMonkeyTestCase
from security_monkey.auditors.iam.managed_policy import ManagedPolicyAuditor
from security_monkey.watchers.iam.managed_policy import ManagedPolicyItem
FULL_ADMIN_POLICY_BARE = """
{
"Statement": {
"Effect": "Allow",
"Action": "*"
}
}
... | security_monkey/tests/auditors/test_managed_policy.py | from security_monkey.tests import SecurityMonkeyTestCase
from security_monkey.auditors.iam.managed_policy import ManagedPolicyAuditor
from security_monkey.watchers.iam.managed_policy import ManagedPolicyItem
FULL_ADMIN_POLICY_BARE = """
{
"Statement": {
"Effect": "Allow",
"Action": "*"
}
}
... | 0.550607 | 0.299899 |
from genie.metaparser import MetaParser
from genie.metaparser.util.schemaengine import Any, Optional
import re
# ======================================================
# Schema for 'show platform hardware qfp active feature uni-sr'
# ======================================================
class ShowU2MSRSche... | src/genie/libs/parser/iosxe/show_u2m_sr.py | from genie.metaparser import MetaParser
from genie.metaparser.util.schemaengine import Any, Optional
import re
# ======================================================
# Schema for 'show platform hardware qfp active feature uni-sr'
# ======================================================
class ShowU2MSRSche... | 0.18743 | 0.084947 |
# Imports gerais
# ==============
from __future__ import print_function
from PyQt4 import QtCore, QtGui
from os.path import expanduser
import os
import sys
import ctypes
import platform
import subprocess
# Imports do programa
# ===================
from GlobalVars import GlobalVars
from DownloaderClass ... | src/WindowHandlerClass.py | # Imports gerais
# ==============
from __future__ import print_function
from PyQt4 import QtCore, QtGui
from os.path import expanduser
import os
import sys
import ctypes
import platform
import subprocess
# Imports do programa
# ===================
from GlobalVars import GlobalVars
from DownloaderClass ... | 0.228673 | 0.052692 |
from selenium import webdriver
import time
import keyword_extraction_modules as ke
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from socket import gaierror
from webdriver_manager.chrome import ChromeDriverManager
import smtplib
from selenium.webdriver.chrome.options import Options... | Code/Scrapper/scrapper_glassdoor.py | from selenium import webdriver
import time
import keyword_extraction_modules as ke
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from socket import gaierror
from webdriver_manager.chrome import ChromeDriverManager
import smtplib
from selenium.webdriver.chrome.options import Options... | 0.228673 | 0.057493 |
import argparse
from typing import Any, Dict, List, Optional, Union
import time, json, sys
sys.path.append('../hu-bmap-ontology-api-client')
from hu_bmap_ontology_api_client import Client
from hu_bmap_ontology_api_client.types import Response, Unset
from hu_bmap_ontology_api_client.api.default import terms_term_id_ter... | server/client_programs/terms_term_id_terms.py |
import argparse
from typing import Any, Dict, List, Optional, Union
import time, json, sys
sys.path.append('../hu-bmap-ontology-api-client')
from hu_bmap_ontology_api_client import Client
from hu_bmap_ontology_api_client.types import Response, Unset
from hu_bmap_ontology_api_client.api.default import terms_term_id_ter... | 0.487307 | 0.094552 |
import shutil
import urllib3
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from linechatter.constants import COMMENT_INPUT_XP
from linechatter.constants import LEFT_PERS
from linechatter.constants impor... | linechatter/formio.py | import shutil
import urllib3
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from linechatter.constants import COMMENT_INPUT_XP
from linechatter.constants import LEFT_PERS
from linechatter.constants impor... | 0.471467 | 0.130258 |
from itertools import combinations
import numpy as np
from sklearn.utils import as_float_array, check_array
from sklearn.utils.validation import check_is_fitted
from sklearn.base import clone
from sklearn.preprocessing import scale
from scipy.sparse import triu, coo_matrix
import joblib
from joblib import Parallel, de... | mplearn/graphical_model/_minipatch_graph_selection.py | from itertools import combinations
import numpy as np
from sklearn.utils import as_float_array, check_array
from sklearn.utils.validation import check_is_fitted
from sklearn.base import clone
from sklearn.preprocessing import scale
from scipy.sparse import triu, coo_matrix
import joblib
from joblib import Parallel, de... | 0.947155 | 0.656059 |
from RecSysFramework.Experiments.difference_of_recs_among_same_models import compute_recommendations_similarity, get_params_dict_model_dataset
from RecSysFramework.Recommender.MatrixFactorization.MatrixFactorization_Cython import BPR_NNMF, FUNK_NNMF, PROB_NNMF
from RecSysFramework.Evaluation.Evaluator import EvaluatorH... | RecSysFramework/Experiments/plot_stability_short_head.py | from RecSysFramework.Experiments.difference_of_recs_among_same_models import compute_recommendations_similarity, get_params_dict_model_dataset
from RecSysFramework.Recommender.MatrixFactorization.MatrixFactorization_Cython import BPR_NNMF, FUNK_NNMF, PROB_NNMF
from RecSysFramework.Evaluation.Evaluator import EvaluatorH... | 0.582372 | 0.307393 |
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
batch_size = 32
train_loader = DataLoader(
dataset=datasets.MNIST('./data/mnist', train=True, download=True, transform=transforms.Compose(
[
transforms.ToTensor(),
... | 9_softmax_classifier.py | import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
batch_size = 32
train_loader = DataLoader(
dataset=datasets.MNIST('./data/mnist', train=True, download=True, transform=transforms.Compose(
[
transforms.ToTensor(),
... | 0.918872 | 0.721804 |
from datetime import datetime, timezone
import hmac
import json
import os
from typing import Dict, Any
import warnings
from aws_lambda_powertools import Logger, Metrics, Tracer
from aws_lambda_powertools.utilities.typing import LambdaContext
import requests
from controltowerapi.models import AccountModel
warnings.f... | src/eb_invoke_callback.py |
from datetime import datetime, timezone
import hmac
import json
import os
from typing import Dict, Any
import warnings
from aws_lambda_powertools import Logger, Metrics, Tracer
from aws_lambda_powertools.utilities.typing import LambdaContext
import requests
from controltowerapi.models import AccountModel
warnings.f... | 0.388618 | 0.098123 |
import os
from cs50 import SQL
from flask import Flask, flash, jsonify, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, ge... | CS50x 2021/Week 9/2- PSet 9 Finance/application.py | import os
from cs50 import SQL
from flask import Flask, flash, jsonify, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, ge... | 0.377655 | 0.084304 |
import re
import textwrap
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union
import numpy as np
import qcodes.utils.validators as vals
from qcodes.instrument.channel import InstrumentChannel
from qcodes.instrument.group_parameter import Group, GroupParameter
from qcodes.instrument.parameter import Mu... | qcodes/instrument_drivers/Keysight/keysightb1500/KeysightB1520A.py | import re
import textwrap
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union
import numpy as np
import qcodes.utils.validators as vals
from qcodes.instrument.channel import InstrumentChannel
from qcodes.instrument.group_parameter import Group, GroupParameter
from qcodes.instrument.parameter import Mu... | 0.820937 | 0.172799 |
import socket
import pickle
import threading
import time
from mlsocket import MLSocket
import pygad
import pygad.nn
import pygad.gann
import numpy
import pygad
import pygad.nn
import pygad.gann
import numpy
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metric... | Federated learning with XAI(Client).py | import socket
import pickle
import threading
import time
from mlsocket import MLSocket
import pygad
import pygad.nn
import pygad.gann
import numpy
import pygad
import pygad.nn
import pygad.gann
import numpy
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metric... | 0.407451 | 0.173148 |
from collections import defaultdict
import networkx as nx
from simtk.openmm.openmm import (NonbondedForce, HarmonicBondForce,
HarmonicAngleForce, PeriodicTorsionForce,
CustomBondForce,
)
from . import utils
def get_no... | polymetrizer/ommutils.py | from collections import defaultdict
import networkx as nx
from simtk.openmm.openmm import (NonbondedForce, HarmonicBondForce,
HarmonicAngleForce, PeriodicTorsionForce,
CustomBondForce,
)
from . import utils
def get_no... | 0.713931 | 0.374876 |
from django.shortcuts import get_object_or_404
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters, status, viewsets
from rest_framework.pagination import PageNumberPagination
from rest_framework.response import Response
from reviews.models import Catergory, Genre, Review, ... | api/views.py | from django.shortcuts import get_object_or_404
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters, status, viewsets
from rest_framework.pagination import PageNumberPagination
from rest_framework.response import Response
from reviews.models import Catergory, Genre, Review, ... | 0.474875 | 0.079068 |
import pykakasi
import os
import pprint
import mojimoji
from typing import (
Dict,
List
)
kks = pykakasi.kakasi()
def convert_hiragana_to_romaji(kks, source_text: str) -> str:
"""
Pykakasi + 独自のルールを用いて、日本語をローマ字に変換する。
:param kks: PyKakasiオブジェクト
:param source_text: 日本語の文字列
:return: ローマ字に変換さ... | src/PyKakasi/hello_pykakasi.py | import pykakasi
import os
import pprint
import mojimoji
from typing import (
Dict,
List
)
kks = pykakasi.kakasi()
def convert_hiragana_to_romaji(kks, source_text: str) -> str:
"""
Pykakasi + 独自のルールを用いて、日本語をローマ字に変換する。
:param kks: PyKakasiオブジェクト
:param source_text: 日本語の文字列
:return: ローマ字に変換さ... | 0.423816 | 0.228759 |
import os
import yaml
from PySide2.QtCore import QObject, Signal
from PySide2.QtWidgets import QFileDialog, QMessageBox
from hexrd import resources as hexrd_resources
from hexrd.ui.utils import convert_tilt_convention
from hexrd.ui.hexrd_config import HexrdConfig
from hexrd.ui.image_file_manager import ImageFileMana... | hexrd/ui/import_data_panel.py | import os
import yaml
from PySide2.QtCore import QObject, Signal
from PySide2.QtWidgets import QFileDialog, QMessageBox
from hexrd import resources as hexrd_resources
from hexrd.ui.utils import convert_tilt_convention
from hexrd.ui.hexrd_config import HexrdConfig
from hexrd.ui.image_file_manager import ImageFileMana... | 0.437343 | 0.113457 |
from __future__ import unicode_literals
from __future__ import print_function
import plac
import codecs
import spacy.symbols as symbols
import spacy
from pathlib import Path
from spacy.vocab import Vocab
from spacy.tagger import Tagger
from spacy.tokens import Doc
from spacy.gold import GoldParse
from spacy.language ... | examples/training/train_tagger_standalone_ud.py | from __future__ import unicode_literals
from __future__ import print_function
import plac
import codecs
import spacy.symbols as symbols
import spacy
from pathlib import Path
from spacy.vocab import Vocab
from spacy.tagger import Tagger
from spacy.tokens import Doc
from spacy.gold import GoldParse
from spacy.language ... | 0.491212 | 0.272408 |
from datetime import datetime
import itertools
class User:
id_iter = itertools.count()
def __init__(self, name: str, alias: str) -> None:
self.__user_id = next(self.id_iter)
self.__name = name
self.__alias = alias
@property
def user_id(self) -> int:
return self.__user... | atividade_4/classes.py | from datetime import datetime
import itertools
class User:
id_iter = itertools.count()
def __init__(self, name: str, alias: str) -> None:
self.__user_id = next(self.id_iter)
self.__name = name
self.__alias = alias
@property
def user_id(self) -> int:
return self.__user... | 0.738103 | 0.10226 |
import torch
from onpolicy.algorithms.r_mappo.algorithm.r_actor_critic import R_Actor, R_Critic, R_Attack
from onpolicy.algorithms.utils.act import ACTLayer
from onpolicy.utils.util import update_linear_schedule
from gym.spaces import Discrete
import numpy as np
class R_MAPPOPolicy:
"""
MAPPO Policy class. Wr... | onpolicy/algorithms/r_mappo/algorithm/rMAPPOPolicy.py | import torch
from onpolicy.algorithms.r_mappo.algorithm.r_actor_critic import R_Actor, R_Critic, R_Attack
from onpolicy.algorithms.utils.act import ACTLayer
from onpolicy.utils.util import update_linear_schedule
from gym.spaces import Discrete
import numpy as np
class R_MAPPOPolicy:
"""
MAPPO Policy class. Wr... | 0.855218 | 0.553867 |
from collections import OrderedDict
import itertools
import os
import os.path
import sys
from biomedsheets.shortcuts import CancerCaseSheet, is_not_background
from snakemake.io import expand
from snappy_pipeline.utils import dictify, listify
from snappy_pipeline.workflows.abstract import BaseStep, BaseStepPart, LinkO... | snappy_pipeline/workflows/somatic_targeted_seq_cnv_calling/__init__.py | from collections import OrderedDict
import itertools
import os
import os.path
import sys
from biomedsheets.shortcuts import CancerCaseSheet, is_not_background
from snakemake.io import expand
from snappy_pipeline.utils import dictify, listify
from snappy_pipeline.workflows.abstract import BaseStep, BaseStepPart, LinkO... | 0.568056 | 0.300297 |
import matplotlib.pyplot as plt
plt.rcParams.update({'figure.max_open_warning': 0})
import numpy as np
from ai_economist.foundation.scenarios.utils import social_metrics
from tutorials.utils import plotting
from os import makedirs, listdir, remove
from os.path import isfile, join
import cv2
import re
import copy
def g... | ai_economist/training/plots.py | import matplotlib.pyplot as plt
plt.rcParams.update({'figure.max_open_warning': 0})
import numpy as np
from ai_economist.foundation.scenarios.utils import social_metrics
from tutorials.utils import plotting
from os import makedirs, listdir, remove
from os.path import isfile, join
import cv2
import re
import copy
def g... | 0.4206 | 0.323647 |
import rospy
# importing the library for the creation of the state machine
import smach
import smach_ros
# Importing the states for the state machines
from modules.states import *
if __name__ == "__main__":
rospy.init_node("cluedo_state_machine")
# Create a SMACH state machine
Cluedo = smach.StateMachin... | exprob_logic/scripts/logic.py | import rospy
# importing the library for the creation of the state machine
import smach
import smach_ros
# Importing the states for the state machines
from modules.states import *
if __name__ == "__main__":
rospy.init_node("cluedo_state_machine")
# Create a SMACH state machine
Cluedo = smach.StateMachin... | 0.433022 | 0.533033 |
from os import path
from urllib import request
import numpy as np
import pandas as pd
import torch
from sklearn.model_selection import train_test_split
from datasets import AbstractDataset
class GermanDataset(AbstractDataset):
column_names = [
'status', 'months', 'credit_history', 'purpose', 'credit_amo... | code/datasets/german.py | from os import path
from urllib import request
import numpy as np
import pandas as pd
import torch
from sklearn.model_selection import train_test_split
from datasets import AbstractDataset
class GermanDataset(AbstractDataset):
column_names = [
'status', 'months', 'credit_history', 'purpose', 'credit_amo... | 0.554712 | 0.457016 |
import json
import logging
import random
from .constants import *
from .doc import Doc
from .docManager import DocManager
from .link import Link
from .linkManager import LinkManager
from .minerJobManager import MinerJobManager
from .clusterJobManager import ClusterJobManager
from .cluster import Cluster
from . import ... | newsApp/linkProcessor.py | import json
import logging
import random
from .constants import *
from .doc import Doc
from .docManager import DocManager
from .link import Link
from .linkManager import LinkManager
from .minerJobManager import MinerJobManager
from .clusterJobManager import ClusterJobManager
from .cluster import Cluster
from . import ... | 0.348645 | 0.053059 |
# STANDARD
import codecs
import gzip as gz
import multiprocessing
import optparse
import os
import re
# PROJECT
from src.misc.decorators import log_time
from src.misc.helpers import alt, contains_tag, extract_sentence_id
def main():
"""
Main function. Uses command lines to start corpus processing.
"""
optparser ... | src/prep/corpus/convert_to_plain.py | # STANDARD
import codecs
import gzip as gz
import multiprocessing
import optparse
import os
import re
# PROJECT
from src.misc.decorators import log_time
from src.misc.helpers import alt, contains_tag, extract_sentence_id
def main():
"""
Main function. Uses command lines to start corpus processing.
"""
optparser ... | 0.392337 | 0.126003 |
__author__ = "<<EMAIL>>; <<EMAIL>>"
__revision__ = "$Revision: 1.1 $"
# system modules
from logging import getLogger
# local modules
from pyquerybuilder.qb.DotGraph import DotGraph
from pyquerybuilder.qb.Graph import Graph
from pyquerybuilder.qb.WGraph import WGraph
from pyquerybuilder.qb.WGraph import RootedWGraph
f... | pyquerybuilder/qb/ConstructQuery.py | __author__ = "<<EMAIL>>; <<EMAIL>>"
__revision__ = "$Revision: 1.1 $"
# system modules
from logging import getLogger
# local modules
from pyquerybuilder.qb.DotGraph import DotGraph
from pyquerybuilder.qb.Graph import Graph
from pyquerybuilder.qb.WGraph import WGraph
from pyquerybuilder.qb.WGraph import RootedWGraph
f... | 0.535098 | 0.279283 |
# Reputation Service API, including Rating Service and Ranking Service
import abc
from reputation_service_api import *
from reputation_calculation import *
from reputation_base_api import *
"""
Reputation Service native implementation in Python
"""
class PythonReputationService(ReputationServiceBase):
#... | reputation/reputation_service_api.py |
# Reputation Service API, including Rating Service and Ranking Service
import abc
from reputation_service_api import *
from reputation_calculation import *
from reputation_base_api import *
"""
Reputation Service native implementation in Python
"""
class PythonReputationService(ReputationServiceBase):
#... | 0.163679 | 0.140189 |
import torch
from pathlib import Path
import logging
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_only
from error_correction.modelling.callback.checkpoint_callback import (
count_trainable_parameters,
)
logger = logging.getLogger(__name__)
class Seq2SeqLoggingCallback(pl.Callb... | src/error_correction/modelling/callback/seq2seq_logging_callback.py | import torch
from pathlib import Path
import logging
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_only
from error_correction.modelling.callback.checkpoint_callback import (
count_trainable_parameters,
)
logger = logging.getLogger(__name__)
class Seq2SeqLoggingCallback(pl.Callb... | 0.539954 | 0.308724 |
from typing import Union, Tuple
from .Wheel import Wheel
import math
class SwerveWheel(Wheel):
def __init__(self, radius: float, thickness: float = 1.0,
wheelRotation: Union[float, None] = None,
wheelAngularVelocity: Union[float, None] = None,
wheelAcceleration: ... | Code/source/kinematics/elements/SwerveWheel.py | from typing import Union, Tuple
from .Wheel import Wheel
import math
class SwerveWheel(Wheel):
def __init__(self, radius: float, thickness: float = 1.0,
wheelRotation: Union[float, None] = None,
wheelAngularVelocity: Union[float, None] = None,
wheelAcceleration: ... | 0.953155 | 0.586464 |
from typing import List, Dict
from flask import url_for
def skills_front() -> List[Dict]:
skills = [
]
return skills
def skills_back() -> List[Dict]:
skills = [
{
'name': "C++",
'img_url': url_for('static', filename='general/img/skills/cpp.png'),
'img_alt... | application/portfolio/data_folder/data_raytracer.py | from typing import List, Dict
from flask import url_for
def skills_front() -> List[Dict]:
skills = [
]
return skills
def skills_back() -> List[Dict]:
skills = [
{
'name': "C++",
'img_url': url_for('static', filename='general/img/skills/cpp.png'),
'img_alt... | 0.605799 | 0.246417 |
from __future__ import annotations
import typing
from ctc import spec
from .. import rpc_constructors
from .. import rpc_digestors
from .. import rpc_request
async def async_eth_new_filter(
address: spec.Address | None = None,
topics: typing.Sequence[spec.BinaryData] | None = None,
start_block: spec.Bl... | src/ctc/rpc/rpc_executors_async/rpc_log_executors_async.py | from __future__ import annotations
import typing
from ctc import spec
from .. import rpc_constructors
from .. import rpc_digestors
from .. import rpc_request
async def async_eth_new_filter(
address: spec.Address | None = None,
topics: typing.Sequence[spec.BinaryData] | None = None,
start_block: spec.Bl... | 0.775817 | 0.147187 |
import re
import urllib.parse
import warnings
from enum import Enum
import time
from fnmatch import fnmatch
from typing import Optional, List, Set, Union
import requests
import logging
from bs4 import BeautifulSoup
from microstrategy_api.task_proc.document import Document
from microstrategy_api.task_proc.privile... | microstrategy_api/task_proc/task_proc.py | import re
import urllib.parse
import warnings
from enum import Enum
import time
from fnmatch import fnmatch
from typing import Optional, List, Set, Union
import requests
import logging
from bs4 import BeautifulSoup
from microstrategy_api.task_proc.document import Document
from microstrategy_api.task_proc.privile... | 0.683102 | 0.087408 |
import RPi.GPIO as gpio
import time
gpio.setwarnings(False)
l1 = 4
l2 = 9
l3 = 25
l4 = 8
l5 = 7
l6 = 26
l7 = 12
l8 = 3
l9 = 14
l10 = 15
def init():
gpio.setmode(gpio.BCM)
gpio.setup(l1,gpio.OUT)
gpio.setup(l2,gpio.OUT)
gpio.setup(l3,gpio.OUT)
gpio.setup(l4,gpio.OUT)
gpio.setup(l5,gpio.OUT)
... | Robotics/robo/leds.py | import RPi.GPIO as gpio
import time
gpio.setwarnings(False)
l1 = 4
l2 = 9
l3 = 25
l4 = 8
l5 = 7
l6 = 26
l7 = 12
l8 = 3
l9 = 14
l10 = 15
def init():
gpio.setmode(gpio.BCM)
gpio.setup(l1,gpio.OUT)
gpio.setup(l2,gpio.OUT)
gpio.setup(l3,gpio.OUT)
gpio.setup(l4,gpio.OUT)
gpio.setup(l5,gpio.OUT)
... | 0.125896 | 0.157785 |
from django.db import models
from django.conf import settings
# Create your models here.
User = settings.AUTH_USER_MODEL
class Interest(models.Model):
"""Represents an option for the 'What are you interests? question'"""
name = models.CharField(max_length=100)
class Action(models.Model):
"""Represents a... | evewspace/Recruitment/models.py | from django.db import models
from django.conf import settings
# Create your models here.
User = settings.AUTH_USER_MODEL
class Interest(models.Model):
"""Represents an option for the 'What are you interests? question'"""
name = models.CharField(max_length=100)
class Action(models.Model):
"""Represents a... | 0.716615 | 0.241769 |
import pandas as pd
import numpy as np
def text_vectorize_and_cluster(text, df=None, vectorizer=None, clusterer=None,
vector_params=None, clusterer_params=None,
outlier_scores=False, one_hot_labels=False, return_df=False,
ret... | data_science_toolbox/text/text_vectorization.py | import pandas as pd
import numpy as np
def text_vectorize_and_cluster(text, df=None, vectorizer=None, clusterer=None,
vector_params=None, clusterer_params=None,
outlier_scores=False, one_hot_labels=False, return_df=False,
ret... | 0.856812 | 0.652636 |
import argparse
import atexit
import json
import os
from collections import Counter
from getpass import getpass
import requests
import yaml
from pyVim.connect import SmartConnectNoSSL, Disconnect
from pyVmomi import vim
_DEFAULT_GROUP = 'ungrouped'
# disable urllib3 warnings
if hasattr(requests.packages.urllib3, ... | inventory/vcenter_inv.py | import argparse
import atexit
import json
import os
from collections import Counter
from getpass import getpass
import requests
import yaml
from pyVim.connect import SmartConnectNoSSL, Disconnect
from pyVmomi import vim
_DEFAULT_GROUP = 'ungrouped'
# disable urllib3 warnings
if hasattr(requests.packages.urllib3, ... | 0.327668 | 0.066327 |
import csv
import sys
import random
def main(args):
if len(args) > 1:
random.seed(args[1])
print('Using random seed ' + args[1])
print('-------------------')
roundMap = [('Round 2', RD3_WIN), ('Sweet 16', RD4_WIN), ('Elite Eight', RD5_WIN), ('Final 4', RD6_WIN), ('Championship', RD7_WIN... | generateBracket.py | import csv
import sys
import random
def main(args):
if len(args) > 1:
random.seed(args[1])
print('Using random seed ' + args[1])
print('-------------------')
roundMap = [('Round 2', RD3_WIN), ('Sweet 16', RD4_WIN), ('Elite Eight', RD5_WIN), ('Final 4', RD6_WIN), ('Championship', RD7_WIN... | 0.424889 | 0.342544 |
import sys
import optparse
import socket
import select
import errno
import pytun
class TunnelServer(object):
def __init__(self, taddr, tmask, tmtu, laddr, lport, raddr, rport):
self._tap = pytun.TunTapDevice(flags=pytun.IFF_TAP|pytun.IFF_NO_PI)
self._tap.addr = taddr
self._tap.netmask = tm... | test/test_tap.py | import sys
import optparse
import socket
import select
import errno
import pytun
class TunnelServer(object):
def __init__(self, taddr, tmask, tmtu, laddr, lport, raddr, rport):
self._tap = pytun.TunTapDevice(flags=pytun.IFF_TAP|pytun.IFF_NO_PI)
self._tap.addr = taddr
self._tap.netmask = tm... | 0.094573 | 0.107484 |
import os
from pathlib import Path
import joblib
import numpy as np
import pandas as pd
from docopt import docopt
from sklearn.compose import ColumnTransformer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import GridSearchCV
from sklearn.pipeline import Pipeline
from sklearn... | src/imdb_rating_predict_model.py | import os
from pathlib import Path
import joblib
import numpy as np
import pandas as pd
from docopt import docopt
from sklearn.compose import ColumnTransformer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import GridSearchCV
from sklearn.pipeline import Pipeline
from sklearn... | 0.718594 | 0.322913 |
import os
import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize as op
from ex2_utils import plotData, plotDecisionBoundary, sigmoid, predict
## Machine Learning Online Class - Exercise 2: Logistic Regression
def costFunction(initial_theta, X, y):
m = y.size
hx = sigmoid(X @ initial_theta)
... | machine-learning-ex2/ex2/ex2.py | import os
import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize as op
from ex2_utils import plotData, plotDecisionBoundary, sigmoid, predict
## Machine Learning Online Class - Exercise 2: Logistic Regression
def costFunction(initial_theta, X, y):
m = y.size
hx = sigmoid(X @ initial_theta)
... | 0.833765 | 0.744343 |
import json
from abc import ABC, abstractmethod
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING, Collection, List, Optional
if TYPE_CHECKING:
from poom.game import Game
import pygame as pg
from pygame.event import Event
class Singleton(type):
_instances = {}
... | poom/shared.py | import json
from abc import ABC, abstractmethod
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING, Collection, List, Optional
if TYPE_CHECKING:
from poom.game import Game
import pygame as pg
from pygame.event import Event
class Singleton(type):
_instances = {}
... | 0.613584 | 0.17113 |
ECHARTS_LIB_HOSTS = {
'pyecharts': 'https://pyecharts.github.io/jupyter-echarts/echarts',
'cdnjs': 'https://cdnjs.cloudflare.com/ajax/libs/echarts/{echarts_version}',
'npmcdn': 'https://unpkg.com/echarts@{echarts_version}/dist',
'bootcdn': 'https://cdn.bootcss.com/echarts/{echarts_version}',
'echart... | django_echarts/plugins/hosts.py | ECHARTS_LIB_HOSTS = {
'pyecharts': 'https://pyecharts.github.io/jupyter-echarts/echarts',
'cdnjs': 'https://cdnjs.cloudflare.com/ajax/libs/echarts/{echarts_version}',
'npmcdn': 'https://unpkg.com/echarts@{echarts_version}/dist',
'bootcdn': 'https://cdn.bootcss.com/echarts/{echarts_version}',
'echart... | 0.618665 | 0.115536 |
import os
import re
import sys
import logging
import argparse
from enum import Enum
from fractions import Fraction
from typing import List
import mugen.video.video_filters as vf
from mugen import MusicVideoGenerator, VideoFilter
from mugen import paths
from mugen import utility as util
from mugen.events import EventLi... | scripts/cli.py | import os
import re
import sys
import logging
import argparse
from enum import Enum
from fractions import Fraction
from typing import List
import mugen.video.video_filters as vf
from mugen import MusicVideoGenerator, VideoFilter
from mugen import paths
from mugen import utility as util
from mugen.events import EventLi... | 0.514156 | 0.086516 |
import _init_paths
from train import rpn_generate, dir_exists_or_create
import argparse
import sys
from fast_rcnn.config import cfg, cfg_from_file
from scenario import Scenario
import os
import numpy as np
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Tra... | src/generate_proposals.py | import _init_paths
from train import rpn_generate, dir_exists_or_create
import argparse
import sys
from fast_rcnn.config import cfg, cfg_from_file
from scenario import Scenario
import os
import numpy as np
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Tra... | 0.312685 | 0.10923 |
from django import forms
import django_filters
from treasuryapp.models import Transaction, MoneyDeposit, MoneyWithdrawal
from memberapp.models import Member
class TransactionFilter(django_filters.FilterSet):
"""Subclass of django_filters.FilterSet """
wording = django_filters.CharFilter(
lookup_expr='... | treasuryapp/filters.py | from django import forms
import django_filters
from treasuryapp.models import Transaction, MoneyDeposit, MoneyWithdrawal
from memberapp.models import Member
class TransactionFilter(django_filters.FilterSet):
"""Subclass of django_filters.FilterSet """
wording = django_filters.CharFilter(
lookup_expr='... | 0.486332 | 0.131452 |
import os
import uuid
try:
from pykube.config import KubeConfig
from pykube.http import HTTPClient
from pykube.objects import (
Job,
Pod
)
except ImportError as exc:
KubeConfig = None
Job = None
Pod = None
K8S_IMPORT_MESSAGE = ('The Python pykube package is required to u... | lib/galaxy/jobs/runners/util/pykube_util.py | import os
import uuid
try:
from pykube.config import KubeConfig
from pykube.http import HTTPClient
from pykube.objects import (
Job,
Pod
)
except ImportError as exc:
KubeConfig = None
Job = None
Pod = None
K8S_IMPORT_MESSAGE = ('The Python pykube package is required to u... | 0.370112 | 0.064329 |
from nltk.corpus.reader.wordnet import WordNetError
from nltk.corpus import wordnet
from sqlalchemy import create_engine, Table, Column, BigInteger, Integer, String, Text, DateTime, MetaData, ForeignKey
from sqlalchemy.orm.session import sessionmaker
from sqlalchemy.schema import UniqueConstraint
from sqlalchemy.schema... | lib/import/princeton_links.py | from nltk.corpus.reader.wordnet import WordNetError
from nltk.corpus import wordnet
from sqlalchemy import create_engine, Table, Column, BigInteger, Integer, String, Text, DateTime, MetaData, ForeignKey
from sqlalchemy.orm.session import sessionmaker
from sqlalchemy.schema import UniqueConstraint
from sqlalchemy.schema... | 0.246443 | 0.101768 |
{'targets': [{
# 'variables': {
# 'conditions': [
# ['OS=="linux"', {'os_include': 'linux'}]
# , ['OS=="mac"', {'os_include': 'mac'}]
# , ['OS=="solaris"', {'os_include': 'solaris'}]
# , ['OS=="win"', {'os_include': 'win32'}]
# , ['OS=="freebsd"'... | deps/easyloggingpp/easyloggingpp.gyp | {'targets': [{
# 'variables': {
# 'conditions': [
# ['OS=="linux"', {'os_include': 'linux'}]
# , ['OS=="mac"', {'os_include': 'mac'}]
# , ['OS=="solaris"', {'os_include': 'solaris'}]
# , ['OS=="win"', {'os_include': 'win32'}]
# , ['OS=="freebsd"'... | 0.206414 | 0.166201 |
import fileinput
f = fileinput.input()
cases = int(next(f))
next(f)
def check_horizontal(grid, m, n, i, j, word):
l = len(word)
if j + l <= n:
if grid[i][j:j + l] == word:
return True
if j + 1 - l >= 0:
if grid[i][j:j - l:-1] == word:
return True
def check_vertic... | python/UVA/10010_Waldorf.py | import fileinput
f = fileinput.input()
cases = int(next(f))
next(f)
def check_horizontal(grid, m, n, i, j, word):
l = len(word)
if j + l <= n:
if grid[i][j:j + l] == word:
return True
if j + 1 - l >= 0:
if grid[i][j:j - l:-1] == word:
return True
def check_vertic... | 0.272025 | 0.358072 |
import csv
def format_coverage_line(text, statements, missed, coverage, missed_lines=False):
"""Format one line with code coverage report of one class or for a summary."""
format_string = "{:80} {:3d} {:3d} {:3d}%"
if missed_lines:
format_string += " N/A"
return format_string.format(te... | dashboard/src/jacoco_to_codecov.py |
import csv
def format_coverage_line(text, statements, missed, coverage, missed_lines=False):
"""Format one line with code coverage report of one class or for a summary."""
format_string = "{:80} {:3d} {:3d} {:3d}%"
if missed_lines:
format_string += " N/A"
return format_string.format(te... | 0.87641 | 0.361897 |
import base64
from agora.fountain.exceptions import FountainError
from agora.fountain.index import core as index
from agora.fountain.index.core import r
__author__ = '<NAME>'
class TypeNotAvailableError(FountainError):
pass
class DuplicateSeedError(FountainError):
pass
class InvalidSeedError(FountainErr... | agora/fountain/index/seeds.py | import base64
from agora.fountain.exceptions import FountainError
from agora.fountain.index import core as index
from agora.fountain.index.core import r
__author__ = '<NAME>'
class TypeNotAvailableError(FountainError):
pass
class DuplicateSeedError(FountainError):
pass
class InvalidSeedError(FountainErr... | 0.469763 | 0.253099 |
import asyncio
import ssl
import websockets
import os
import json
import time
import base64
import random
import string
import hashlib
from OpenSSL import crypto, SSL
from datetime import datetime
server_password = ""
with open("./config.txt", "r") as config:
data = config.read()
data = json.loads(data)
s... | shell-server.py | import asyncio
import ssl
import websockets
import os
import json
import time
import base64
import random
import string
import hashlib
from OpenSSL import crypto, SSL
from datetime import datetime
server_password = ""
with open("./config.txt", "r") as config:
data = config.read()
data = json.loads(data)
s... | 0.239172 | 0.117193 |
import numpy as np
import theano
import theano.tensor as tt
from tests import unittest_tools as utt
from theano.breakpoint import PdbBreakpoint
class TestPdbBreakpoint(utt.InferShapeTester):
def setup_method(self):
super().setup_method()
# Sample computation that involves tensors with different ... | tests/test_breakpoint.py | import numpy as np
import theano
import theano.tensor as tt
from tests import unittest_tools as utt
from theano.breakpoint import PdbBreakpoint
class TestPdbBreakpoint(utt.InferShapeTester):
def setup_method(self):
super().setup_method()
# Sample computation that involves tensors with different ... | 0.61832 | 0.606528 |
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import with_statement
try:
# python 3
from configparser import ConfigParser
except ImportError:
# python 2
from ConfigParser import ConfigParser
try:
import keyring
keyring.get_password('<PASSWORD>', '... | ofxclient/config.py | from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import with_statement
try:
# python 3
from configparser import ConfigParser
except ImportError:
# python 2
from ConfigParser import ConfigParser
try:
import keyring
keyring.get_password('<PASSWORD>', '... | 0.635222 | 0.096068 |
import unittest,sys,os
from rdkit import RDConfig
from rdkit import Chem
import tempfile
from rdkit.six.moves import cStringIO as StringIO
from rdkit.six import next
class TestCase(unittest.TestCase):
def setUp(self):
#print '\n%s: '%self.shortDescription(),
self.fName = os.path.join(RDConfig.RDDataDir,'NCI',... | third_party_package/RDKit_2015_03_1/rdkit/Chem/Suppliers/UnitTestSDMolSupplier.py | import unittest,sys,os
from rdkit import RDConfig
from rdkit import Chem
import tempfile
from rdkit.six.moves import cStringIO as StringIO
from rdkit.six import next
class TestCase(unittest.TestCase):
def setUp(self):
#print '\n%s: '%self.shortDescription(),
self.fName = os.path.join(RDConfig.RDDataDir,'NCI',... | 0.087889 | 0.571229 |
import pytest
from pathlib import Path
from decoy import Decoy
from opentrons.protocol_api_experimental import ProtocolContext
from opentrons.file_runner import PythonFileRunner, ProtocolFile, ProtocolFileType
from opentrons.file_runner.python_reader import PythonFileReader, PythonProtocol
from opentrons.file_runner.p... | api/tests/opentrons/file_runner/test_python_file_runner.py | import pytest
from pathlib import Path
from decoy import Decoy
from opentrons.protocol_api_experimental import ProtocolContext
from opentrons.file_runner import PythonFileRunner, ProtocolFile, ProtocolFileType
from opentrons.file_runner.python_reader import PythonFileReader, PythonProtocol
from opentrons.file_runner.p... | 0.7181 | 0.495972 |
import sentiment_analysis.algorithms as ai
import logging
import numpy as np
import os
import sys
import traceback
import time
def equals(x, y):
if type(y) == np.ndarray:
return (x == y).all
return x == y
def check_real(ex_name, f, exp_result, *args):
try:
res = f(*args)
except NotIm... | src/ml_starter/sentiment_analysis/algorithms_test.py | import sentiment_analysis.algorithms as ai
import logging
import numpy as np
import os
import sys
import traceback
import time
def equals(x, y):
if type(y) == np.ndarray:
return (x == y).all
return x == y
def check_real(ex_name, f, exp_result, *args):
try:
res = f(*args)
except NotIm... | 0.382257 | 0.435841 |
from __future__ import absolute_import
from __future__ import unicode_literals
import pickle
import sys
from functools import wraps
if sys.version_info >= (3, 0):
from io import StringIO, BytesIO
else:
from StringIO import StringIO, StringIO as BytesIO # noqa
from kombu import version_info_t
from kombu imp... | venv/lib/python2.7/site-packages/kombu/tests/utils/test_utils.py | from __future__ import absolute_import
from __future__ import unicode_literals
import pickle
import sys
from functools import wraps
if sys.version_info >= (3, 0):
from io import StringIO, BytesIO
else:
from StringIO import StringIO, StringIO as BytesIO # noqa
from kombu import version_info_t
from kombu imp... | 0.495361 | 0.339376 |
from __future__ import absolute_import
from copy import copy
import numpy as nm
from sfepy.base.testing import TestCommon
from sfepy.base.base import ordered_iteritems
from sfepy import data_dir
filename_meshes = [data_dir + '/meshes/elements/%s_2.mesh' % geom
for geom in ['1_2', '2_3', '2_4', '3_... | tests/test_term_call_modes.py | from __future__ import absolute_import
from copy import copy
import numpy as nm
from sfepy.base.testing import TestCommon
from sfepy.base.base import ordered_iteritems
from sfepy import data_dir
filename_meshes = [data_dir + '/meshes/elements/%s_2.mesh' % geom
for geom in ['1_2', '2_3', '2_4', '3_... | 0.5769 | 0.233379 |
import os
import json
import pickle
import logging
from urllib.request import urlretrieve
import torch
from torch import nn
from wavegan import WaveGANGenerator
from coala import TagEncoder, AudioEncoder
from audio_prepro import preprocess_audio
logging.basicConfig(level = logging.INFO)
class Word2Wave(nn.Module):
... | word2wave.py | import os
import json
import pickle
import logging
from urllib.request import urlretrieve
import torch
from torch import nn
from wavegan import WaveGANGenerator
from coala import TagEncoder, AudioEncoder
from audio_prepro import preprocess_audio
logging.basicConfig(level = logging.INFO)
class Word2Wave(nn.Module):
... | 0.752649 | 0.159315 |
"""Tests for python template helpers."""
import pytest
from asciidoxy.generator.filters import InsertionFilter
from asciidoxy.model import Compound, Parameter, ReturnValue, TypeRef
from asciidoxy.templates.python.helpers import params, PythonTemplateHelper
from .builders import SimpleClassBuilder
@pytest.fixture
d... | tests/unit/test_template_helpers_python.py | """Tests for python template helpers."""
import pytest
from asciidoxy.generator.filters import InsertionFilter
from asciidoxy.model import Compound, Parameter, ReturnValue, TypeRef
from asciidoxy.templates.python.helpers import params, PythonTemplateHelper
from .builders import SimpleClassBuilder
@pytest.fixture
d... | 0.84338 | 0.463323 |
import logging
import json
from tornado import gen
from fabric.exceptions import NetworkError
from paramiko.ssh_exception import SSHException, ChannelException
from botocore.exceptions import ClientError, WaiterError
from concurrent.futures import ThreadPoolExecutor
from jumpssh import SSHSession, ConnectionError, RunC... | ssh_run_debug.py | import logging
import json
from tornado import gen
from fabric.exceptions import NetworkError
from paramiko.ssh_exception import SSHException, ChannelException
from botocore.exceptions import ClientError, WaiterError
from concurrent.futures import ThreadPoolExecutor
from jumpssh import SSHSession, ConnectionError, RunC... | 0.36557 | 0.055413 |
import datetime
from django.db import models
from django.core.exceptions import ObjectDoesNotExist
from django.utils.translation import ugettext_lazy as _
from django.contrib.contenttypes import generic
from django.contrib.contenttypes.models import ContentType
from backlinks.managers import InboundBacklinkMa... | src/backlinks/models.py | import datetime
from django.db import models
from django.core.exceptions import ObjectDoesNotExist
from django.utils.translation import ugettext_lazy as _
from django.contrib.contenttypes import generic
from django.contrib.contenttypes.models import ContentType
from backlinks.managers import InboundBacklinkMa... | 0.459561 | 0.073663 |
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class SysteminfoApi(object):
"""
NOTE: This class is auto generated by the swagger code ... | python-client/swagger_client/apis/systeminfo_api.py | from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class SysteminfoApi(object):
"""
NOTE: This class is auto generated by the swagger code ... | 0.585457 | 0.125253 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('django_eveonline_connector', '0005_auto_20191003_1947'),
]
operations = [
migrations.CreateModel(
name='EveJournalEntry',
... | django_eveonline_entity_extensions/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('django_eveonline_connector', '0005_auto_20191003_1947'),
]
operations = [
migrations.CreateModel(
name='EveJournalEntry',
... | 0.58948 | 0.135833 |
from .proxy_resource import ProxyResource
class DataSource(ProxyResource):
"""Datasources under OMS Workspace.
Variables are only populated by the server, and will be ignored when
sending a request.
All required parameters must be populated in order to send to Azure.
:ivar id: Resource ID.
... | sdk/loganalytics/azure-mgmt-loganalytics/azure/mgmt/loganalytics/models/data_source.py |
from .proxy_resource import ProxyResource
class DataSource(ProxyResource):
"""Datasources under OMS Workspace.
Variables are only populated by the server, and will be ignored when
sending a request.
All required parameters must be populated in order to send to Azure.
:ivar id: Resource ID.
... | 0.816187 | 0.267591 |
import os
from pystac.version import get_stac_version
from shapely.geomtry import box, mapping
from mapchete.tile import BufferedTilePyramid
OUT_PIXEL_SIZE = 0.28e-3
UNIT_TO_METER = {"mercator": 1, "geodetic": 111319.4907932732}
MATRIX_PROPERTIES = {
"geodetic": {
"name": "WorldCRS84Quad",
"url":... | mapchete/stac.py | import os
from pystac.version import get_stac_version
from shapely.geomtry import box, mapping
from mapchete.tile import BufferedTilePyramid
OUT_PIXEL_SIZE = 0.28e-3
UNIT_TO_METER = {"mercator": 1, "geodetic": 111319.4907932732}
MATRIX_PROPERTIES = {
"geodetic": {
"name": "WorldCRS84Quad",
"url":... | 0.481941 | 0.318697 |
import caffe
import numpy as np
import sys, getopt
def Print(name, data, sz, dims):
print "=======",name,"======"
print sz
print dims
print data
def main(argv):
model_filename = ''
yoloweight_filename = ''
caffemodel_filename = ''
try:
opts, args = getopt.getopt(argv, "hm:w:o:")
print opts
except getopt.... | models/create_yolo_caffemodel.py | import caffe
import numpy as np
import sys, getopt
def Print(name, data, sz, dims):
print "=======",name,"======"
print sz
print dims
print data
def main(argv):
model_filename = ''
yoloweight_filename = ''
caffemodel_filename = ''
try:
opts, args = getopt.getopt(argv, "hm:w:o:")
print opts
except getopt.... | 0.128061 | 0.319413 |
import logging
from functools import update_wrapper
from time import sleep
from threading import Thread, Event, current_thread
from atom.api import Atom, Value, Callable, Str
from ...utils.traceback import format_exc
def handle_stop_pause(root):
"""Check the state of the stop and pause event and handle the paus... | exopy/tasks/tasks/decorators.py | import logging
from functools import update_wrapper
from time import sleep
from threading import Thread, Event, current_thread
from atom.api import Atom, Value, Callable, Str
from ...utils.traceback import format_exc
def handle_stop_pause(root):
"""Check the state of the stop and pause event and handle the paus... | 0.694303 | 0.178597 |
from collections import Counter
import pandas as pd
pd.options.display.precision = 3
pd.options.display.unicode.east_asian_width = True
class WikiepediaEvaluation:
"""抽出した属性情報を評価する。
使い方：
from evaluation import WikiepediaEvaluation
# 学習データの読み込み
with open('../data/train-20180516T074039Z-001/compan... | scripts/shinra/evaluation.py |
from collections import Counter
import pandas as pd
pd.options.display.precision = 3
pd.options.display.unicode.east_asian_width = True
class WikiepediaEvaluation:
"""抽出した属性情報を評価する。
使い方：
from evaluation import WikiepediaEvaluation
# 学習データの読み込み
with open('../data/train-20180516T074039Z-001/compan... | 0.46563 | 0.187839 |
import os
import torch as T
from torch import nn
from torch import optim
from torch.nn import Conv2d, Linear, Module, ReLU, Softmax, Sigmoid, MaxPool2d, BatchNorm2d
from torchvision.datasets import ImageFolder
from torchvision import transforms
import numpy as np
import PIL.Image as im
from utils import dataset_dir, m... | src/classification.py |
import os
import torch as T
from torch import nn
from torch import optim
from torch.nn import Conv2d, Linear, Module, ReLU, Softmax, Sigmoid, MaxPool2d, BatchNorm2d
from torchvision.datasets import ImageFolder
from torchvision import transforms
import numpy as np
import PIL.Image as im
from utils import dataset_dir, m... | 0.880919 | 0.577197 |
from datetime import datetime
from django.contrib import messages
from django.contrib.auth.decorators import login_required, permission_required
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, redirect, render
from django.utils.translation import pgettext, ugettext as _
from djang... | apps/lan/views.py |
from datetime import datetime
from django.contrib import messages
from django.contrib.auth.decorators import login_required, permission_required
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, redirect, render
from django.utils.translation import pgettext, ugettext as _
from djang... | 0.465145 | 0.102305 |
import numbers
from . import trit
from . import integer
class Register(trit.Trits):
"""A fixed-length, mutable, ordered sequence of trits.
A Register's length is set when it is created, and is fixed for the
lifetime of the Register. The contents of the Register within that length
may be modified fr... | processor.py | import numbers
from . import trit
from . import integer
class Register(trit.Trits):
"""A fixed-length, mutable, ordered sequence of trits.
A Register's length is set when it is created, and is fixed for the
lifetime of the Register. The contents of the Register within that length
may be modified fr... | 0.802865 | 0.378947 |
import collections
import configsuite
from configsuite import MetaKeys as MK
from configsuite import types
@configsuite.validator_msg("Currency rate should not be negative")
def _positive_rate(rate):
return rate > 0
@configsuite.validator_msg("Amount should not be negative")
def _positive_amount(amount):
r... | tests/data/transactions.py | import collections
import configsuite
from configsuite import MetaKeys as MK
from configsuite import types
@configsuite.validator_msg("Currency rate should not be negative")
def _positive_rate(rate):
return rate > 0
@configsuite.validator_msg("Amount should not be negative")
def _positive_amount(amount):
r... | 0.52902 | 0.226805 |
import functools
import operator
from django.db.models import Q
from django.utils.translation import gettext
from django_filters import CharFilter, ChoiceFilter
class AnyChoiceFilter(ChoiceFilter):
"""
Extended ChoiceFilter which adds an "any" choice to the choices from the
field / provided options by se... | cruditor/filters.py | import functools
import operator
from django.db.models import Q
from django.utils.translation import gettext
from django_filters import CharFilter, ChoiceFilter
class AnyChoiceFilter(ChoiceFilter):
"""
Extended ChoiceFilter which adds an "any" choice to the choices from the
field / provided options by se... | 0.665737 | 0.233128 |
import signal, subprocess, sys, time
'''
The objective is to make easier the development and debugging for interactive competitive programming problems.
To run it, the command is like the default interactive_runner.
I only know how to run programs with unbuffered stdout, stdin, stderr in Python.
1. python dev_interac... | dev_interactive.py | import signal, subprocess, sys, time
'''
The objective is to make easier the development and debugging for interactive competitive programming problems.
To run it, the command is like the default interactive_runner.
I only know how to run programs with unbuffered stdout, stdin, stderr in Python.
1. python dev_interac... | 0.176743 | 0.398406 |
from app.util import crypto_helper
from cryptography.fernet import Fernet
import pytest
TEST_KEY = b"<KEY>
@pytest.fixture(autouse=True)
def app_with_fake_enc_key(app):
app.config["ENC_KEY"] = TEST_KEY
yield app
class Testcrypto_helper:
class TestEncrypt:
def test_encrypt_string(self):
... | tests/util/test_crypto_helper.py | from app.util import crypto_helper
from cryptography.fernet import Fernet
import pytest
TEST_KEY = b"<KEY>
@pytest.fixture(autouse=True)
def app_with_fake_enc_key(app):
app.config["ENC_KEY"] = TEST_KEY
yield app
class Testcrypto_helper:
class TestEncrypt:
def test_encrypt_string(self):
... | 0.70619 | 0.326218 |
import argparse
import json
import os
import logging
from chat_unifier import json_serializer
from chat_unifier import history_merger
from chat_unifier.parsers.pidgin import parser as pidgin_parser
from chat_unifier.parsers.trillian_xml import parser as trillian_parser
from chat_unifier.file_iterators import pidgin a... | main.py |
import argparse
import json
import os
import logging
from chat_unifier import json_serializer
from chat_unifier import history_merger
from chat_unifier.parsers.pidgin import parser as pidgin_parser
from chat_unifier.parsers.trillian_xml import parser as trillian_parser
from chat_unifier.file_iterators import pidgin a... | 0.286568 | 0.051059 |
from scipy.stats import randint as sp_randint
from scipy.stats import uniform
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import (
AdaBoostClassifier, RandomForestClassifier, GradientBoostingClassifier
)
from sklearn.neighbors import KNeighborsClassifier
from sk... | 4Ps/classifiers.py | from scipy.stats import randint as sp_randint
from scipy.stats import uniform
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import (
AdaBoostClassifier, RandomForestClassifier, GradientBoostingClassifier
)
from sklearn.neighbors import KNeighborsClassifier
from sk... | 0.876278 | 0.495667 |
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
import seaborn as sns
import numpy as np
import pandas as pd
from itertools import compress
import colorsys
import matplotlib.colors as mc
from scipy.signal import savgol_filter
def make_color_lighter(color, amount=0.5):
"""Returns a brightened (d... | eckstein-keane-wolpin/material/codes/ekw_ext_plot.py |
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
import seaborn as sns
import numpy as np
import pandas as pd
from itertools import compress
import colorsys
import matplotlib.colors as mc
from scipy.signal import savgol_filter
def make_color_lighter(color, amount=0.5):
"""Returns a brightened (d... | 0.882971 | 0.535341 |
import argparse, re, os, sys
import numpy as np
parser = argparse.ArgumentParser()
parser.add_argument('-l', '--logs', required=True, nargs='+', type=argparse.FileType('r'), help='Log files')
parser.add_argument('--show-legend', required=False, action='store_true', help='Show legend')
parser.add_argument('-p', '--plo... | script/microbenchmark/process_control_timing.py |
import argparse, re, os, sys
import numpy as np
parser = argparse.ArgumentParser()
parser.add_argument('-l', '--logs', required=True, nargs='+', type=argparse.FileType('r'), help='Log files')
parser.add_argument('--show-legend', required=False, action='store_true', help='Show legend')
parser.add_argument('-p', '--plo... | 0.358016 | 0.250752 |
def test_sm_rts_tender_include_eic_yestoday(app):
app.testhelpersm.refresh_page()
app.session.open_SM_page(app.smPurchases)
app.session.ensure_login_sm(app.username, app.password)
app.session.ensure_login_sm(app.username, app.password)
app.session.open_SM_page(app.smPurchases)
app.testHelperSMSe... | test/test_SM/test_ploshadki/test_ploshadka_rts_tender.py | def test_sm_rts_tender_include_eic_yestoday(app):
app.testhelpersm.refresh_page()
app.session.open_SM_page(app.smPurchases)
app.session.ensure_login_sm(app.username, app.password)
app.session.ensure_login_sm(app.username, app.password)
app.session.open_SM_page(app.smPurchases)
app.testHelperSMSe... | 0.176778 | 0.316871 |
import numpy as np
import xarray as xr
import time
import dask
import dask.array as da
from dask.distributed import Client
from dask.diagnostics import ProgressBar
# the main function to run
def main():
print("Importing GPM data ...")
mfdata_DIR = '../data/temporary/gpm*.nc'
gpm = xr.open_mfdataset(mfdata... | util/combine_data.py |
import numpy as np
import xarray as xr
import time
import dask
import dask.array as da
from dask.distributed import Client
from dask.diagnostics import ProgressBar
# the main function to run
def main():
print("Importing GPM data ...")
mfdata_DIR = '../data/temporary/gpm*.nc'
gpm = xr.open_mfdataset(mfdata... | 0.31342 | 0.3628 |
import os
from platform import python_version
from typing import List
from django.core.management import call_command
from django.db import connection
from django.db.models import Func, F, Transform
from django.db.models import IntegerField
from django_plpy.builder import (
build_pl_function,
build_pl_trigger_... | tests/tests.py | import os
from platform import python_version
from typing import List
from django.core.management import call_command
from django.db import connection
from django.db.models import Func, F, Transform
from django.db.models import IntegerField
from django_plpy.builder import (
build_pl_function,
build_pl_trigger_... | 0.677581 | 0.416797 |
import rasterio, os
import numpy as np
import pandas as pd
class DownscaleCRU( object ):
'''
methods to downscale the Climatic Research Unit's (CRU) Historical
Time Series data using a 12-month climatology pre-processed to the final
output domain and resolution. Typically we use a PRISM climatology or a
CRU C... | old/DownscaleCRU.py |
import rasterio, os
import numpy as np
import pandas as pd
class DownscaleCRU( object ):
'''
methods to downscale the Climatic Research Unit's (CRU) Historical
Time Series data using a 12-month climatology pre-processed to the final
output domain and resolution. Typically we use a PRISM climatology or a
CRU C... | 0.477554 | 0.342695 |
import argparse
import datetime
import os
import signal
import subprocess
import sys
import time
import mr.config
import mr.db
import mr.shell as shell
import mr.updater.repo as repo
class SrcfetcherDatabase(mr.db.Database, metaclass=mr.db.DatabaseMeta):
def exists(self, cursor):
cursor.execute('select 1... | mr/srcfetcher.py | import argparse
import datetime
import os
import signal
import subprocess
import sys
import time
import mr.config
import mr.db
import mr.shell as shell
import mr.updater.repo as repo
class SrcfetcherDatabase(mr.db.Database, metaclass=mr.db.DatabaseMeta):
def exists(self, cursor):
cursor.execute('select 1... | 0.199776 | 0.072047 |
import sys
import numpy
from HiddenLayer import HiddenLayer
from LogisticRegression import LogisticRegression
from RBM import RBM
from utils import *
class DBN(object):
def __init__(self, input=None, label=None,\
n_ins=2, hidden_layer_sizes=[3, 3], n_outs=2,\
rng=None):
... | python/DBN.py |
import sys
import numpy
from HiddenLayer import HiddenLayer
from LogisticRegression import LogisticRegression
from RBM import RBM
from utils import *
class DBN(object):
def __init__(self, input=None, label=None,\
n_ins=2, hidden_layer_sizes=[3, 3], n_outs=2,\
rng=None):
... | 0.2819 | 0.424173 |
from html import unescape
from textwrap import wrap
import unittest
from lib import *
class TestCourseClass(unittest.TestCase):
courses = []
def setUp(self):
with open('test/courses-fixture.json', 'r') as file:
data = json.load(file)
self.courses = [Course(**c) for c in data]... | test/test_course.py | from html import unescape
from textwrap import wrap
import unittest
from lib import *
class TestCourseClass(unittest.TestCase):
courses = []
def setUp(self):
with open('test/courses-fixture.json', 'r') as file:
data = json.load(file)
self.courses = [Course(**c) for c in data]... | 0.341253 | 0.395981 |
import time
from base_handler import BlogHandler
from models import User
from utility import valid_email, valid_username, valid_password, hash_str
class RegistrationHandler(BlogHandler):
def get(self):
self.render("register.html")
def post(self):
has_error = False
error_list = []
... | handlers/registration_handler.py | import time
from base_handler import BlogHandler
from models import User
from utility import valid_email, valid_username, valid_password, hash_str
class RegistrationHandler(BlogHandler):
def get(self):
self.render("register.html")
def post(self):
has_error = False
error_list = []
... | 0.106122 | 0.067117 |
from __future__ import unicode_literals
from __future__ import print_function
from camp.entities.report import SuccessfulTest, FailedTest, \
ErroneousTest, TestSuite
from camp.execute.reporting.commons import ReportReader
from defusedxml.ElementTree import fromstring
class JUnitXMLReader(ReportReader):
... | camp/execute/reporting/junit.py |
from __future__ import unicode_literals
from __future__ import print_function
from camp.entities.report import SuccessfulTest, FailedTest, \
ErroneousTest, TestSuite
from camp.execute.reporting.commons import ReportReader
from defusedxml.ElementTree import fromstring
class JUnitXMLReader(ReportReader):
... | 0.511229 | 0.262567 |
import abc
import numpy as np
import scipy.integrate
import scipy.interpolate
from scipy.special import erf, erfinv, xlogy
import gbkfit.math
from gbkfit.utils import parseutils
def _parse_min_and_max(prior_info, param_info):
for key in ['min', 'max']:
if key not in prior_info and key in param_info:
... | src/gbkfit/fitting/prior.py | import abc
import numpy as np
import scipy.integrate
import scipy.interpolate
from scipy.special import erf, erfinv, xlogy
import gbkfit.math
from gbkfit.utils import parseutils
def _parse_min_and_max(prior_info, param_info):
for key in ['min', 'max']:
if key not in prior_info and key in param_info:
... | 0.713132 | 0.231332 |
import time
import random
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import ops.semantic_segmentation.imageops as imageops
def test(predict, dataset, num_classes,
batch_size=3, ys_mask=None, cutoffs=(0.0, 0.9), bins=np.linspace(0.0, 1.0, 11), verbose=True, period=10):
pred... | ops/semantic_segmentation/tests.py | import time
import random
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import ops.semantic_segmentation.imageops as imageops
def test(predict, dataset, num_classes,
batch_size=3, ys_mask=None, cutoffs=(0.0, 0.9), bins=np.linspace(0.0, 1.0, 11), verbose=True, period=10):
pred... | 0.600774 | 0.365358 |