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 |
|---|---|---|---|---|
import os
import sys
cwd = os.getcwd()
sys.path.append(cwd)
from time import sleep
import pybullet as p
import numpy as np
def setUpWorld(initialSimSteps=100):
"""
Reset the simulation to the beginning and reload all models.
Parameters
----------
initialSimSteps : int
Returns
-------
... | simulator/pybullet/baxter_main.py | import os
import sys
cwd = os.getcwd()
sys.path.append(cwd)
from time import sleep
import pybullet as p
import numpy as np
def setUpWorld(initialSimSteps=100):
"""
Reset the simulation to the beginning and reload all models.
Parameters
----------
initialSimSteps : int
Returns
-------
... | 0.53607 | 0.3628 |
from __future__ import unicode_literals
import itertools
from datetime import tzinfo, timedelta
class UTC(tzinfo):
"""Why is this not in the standard library?
"""
ZERO = timedelta(0)
def utcoffset(self, dt):
return self.ZERO
def tzname(self, dt):
return "UTC"
def dst(self,... | python/0.4/teleport/util.py | from __future__ import unicode_literals
import itertools
from datetime import tzinfo, timedelta
class UTC(tzinfo):
"""Why is this not in the standard library?
"""
ZERO = timedelta(0)
def utcoffset(self, dt):
return self.ZERO
def tzname(self, dt):
return "UTC"
def dst(self,... | 0.676513 | 0.140749 |
import argparse
import asyncio
import os
import re
import aiohttp
from utils import print_warn, print_green, fetch, batch
parser = argparse.ArgumentParser(
description='Download files from an exposed git repository in git-repo-url'
)
parser.add_argument('repo-url', type=str, help='url of the exposed .git folde... | main.py |
import argparse
import asyncio
import os
import re
import aiohttp
from utils import print_warn, print_green, fetch, batch
parser = argparse.ArgumentParser(
description='Download files from an exposed git repository in git-repo-url'
)
parser.add_argument('repo-url', type=str, help='url of the exposed .git folde... | 0.40439 | 0.078254 |
import glob, os, sys
import pandas as pd
import numpy as np
import warnings
import pymannkendall as pmk
import matplotlib.pyplot as plt
sys.path.insert(0,r'E:\github\seasonality_risk\Functions')
from Functions_HCMC import collect_rainfall, calc_avg_max_min_rainfall, keep_full_years, thiessen_rain, select_epoch_pairs
... | Pre-process/rainfall_test_trend_MM.py | import glob, os, sys
import pandas as pd
import numpy as np
import warnings
import pymannkendall as pmk
import matplotlib.pyplot as plt
sys.path.insert(0,r'E:\github\seasonality_risk\Functions')
from Functions_HCMC import collect_rainfall, calc_avg_max_min_rainfall, keep_full_years, thiessen_rain, select_epoch_pairs
... | 0.132571 | 0.468 |
from collections import OrderedDict as Od
from typing import Callable, Dict, FrozenSet, NamedTuple, Tuple, Union
import functools
import unittest.mock as mock
import pytest
from pyunits.compound_units.compound_unit import CompoundUnit
from pyunits.compound_units.compound_unit_type import CompoundUnitType
from pyunits... | pyunits/compound_units/tests/test_unit_analysis.py | from collections import OrderedDict as Od
from typing import Callable, Dict, FrozenSet, NamedTuple, Tuple, Union
import functools
import unittest.mock as mock
import pytest
from pyunits.compound_units.compound_unit import CompoundUnit
from pyunits.compound_units.compound_unit_type import CompoundUnitType
from pyunits... | 0.93954 | 0.725782 |
import numba
import numpy as np
def is_unitary(u, digits):
"""Return True if u^dagger u is equal to the unit matrix with the given
tolerance."""
unitary = np.eye(u.shape[0], dtype=np.complex128)
# The rounding is required in edge cases?
product = np.round(np.conj(u.T) @ u, digits - 1)
return np... | floq/linalg.py | import numba
import numpy as np
def is_unitary(u, digits):
"""Return True if u^dagger u is equal to the unit matrix with the given
tolerance."""
unitary = np.eye(u.shape[0], dtype=np.complex128)
# The rounding is required in edge cases?
product = np.round(np.conj(u.T) @ u, digits - 1)
return np... | 0.816809 | 0.79538 |
def getTags(v2, db):
from notion.client import NotionClient
try:
client = NotionClient(token_v2=v2)
print("Connected")
except:
print("Error v2")
try:
cv = client.get_collection_view(db)
print("Connected")
except:
print("Error db")
try:
... | app/src/main/python/Notion.py | def getTags(v2, db):
from notion.client import NotionClient
try:
client = NotionClient(token_v2=v2)
print("Connected")
except:
print("Error v2")
try:
cv = client.get_collection_view(db)
print("Connected")
except:
print("Error db")
try:
... | 0.245447 | 0.144209 |
"""
Higher-level storage operations,
particulary for keys.
"""
import os
import stat
import random
import traceback
from Crypto.PublicKey import RSA as CryptoKey
import syndicate.util.config as conf
log = conf.log
# -------------------
def read_file( file_path ):
"""
Read data from file_path
Return no... | python/syndicate/util/storage.py | """
Higher-level storage operations,
particulary for keys.
"""
import os
import stat
import random
import traceback
from Crypto.PublicKey import RSA as CryptoKey
import syndicate.util.config as conf
log = conf.log
# -------------------
def read_file( file_path ):
"""
Read data from file_path
Return no... | 0.444324 | 0.142649 |
from __future__ import absolute_import, division, print_function
from six.moves import range
import math
"""radius is taken to be d_star, or 1/resolution limit in units of distance"""
def sphere_volume(radius):
return (4./3.)*math.pi*math.pow(radius,3)
def vol_of_Ewald_sphere_solid_of_revolution(wavelength):
"""... | spotfinder/math_support/sphere_formulae.py | from __future__ import absolute_import, division, print_function
from six.moves import range
import math
"""radius is taken to be d_star, or 1/resolution limit in units of distance"""
def sphere_volume(radius):
return (4./3.)*math.pi*math.pow(radius,3)
def vol_of_Ewald_sphere_solid_of_revolution(wavelength):
"""... | 0.709623 | 0.63542 |
from collections import namedtuple
import numpy as np
from supervisely_lib.annotation.label import Label, PixelwiseScoresLabel
from supervisely_lib.geometry.bitmap import Bitmap
from supervisely_lib.geometry.rectangle import Rectangle
from supervisely_lib.geometry.multichannel_bitmap import MultichannelBitmap
from s... | superviselySDK/supervisely_lib/nn/raw_to_labels.py |
from collections import namedtuple
import numpy as np
from supervisely_lib.annotation.label import Label, PixelwiseScoresLabel
from supervisely_lib.geometry.bitmap import Bitmap
from supervisely_lib.geometry.rectangle import Rectangle
from supervisely_lib.geometry.multichannel_bitmap import MultichannelBitmap
from s... | 0.965956 | 0.665794 |
import torch
from utils.validation import evaluate
from tqdm.autonotebook import tqdm
import os
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
def train_model(
model,
dataset,
optimizer,
num_epochs,
batch_size,
loss_fkt=torch.nn.CrossEntropyLoss(),
val_dataset=Non... | utils/training.py | import torch
from utils.validation import evaluate
from tqdm.autonotebook import tqdm
import os
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
def train_model(
model,
dataset,
optimizer,
num_epochs,
batch_size,
loss_fkt=torch.nn.CrossEntropyLoss(),
val_dataset=Non... | 0.872822 | 0.376566 |
import logging
import uuid
from datetime import timedelta
from django.db import IntegrityError, models
from django.utils import dateformat, timezone
from django.utils.encoding import smart_text
from .. import settings as djstripe_settings
from ..fields import JSONField, StripeDateTimeField, StripeIdField
from ..manag... | djstripe/models/base.py | import logging
import uuid
from datetime import timedelta
from django.db import IntegrityError, models
from django.utils import dateformat, timezone
from django.utils.encoding import smart_text
from .. import settings as djstripe_settings
from ..fields import JSONField, StripeDateTimeField, StripeIdField
from ..manag... | 0.669096 | 0.088112 |
from . import register
from .smbus2.smbus2 import SMBus, i2c_msg
from random import randint
import time
import logging
# rest time in second betweet each read/write transaction
REST_INTERVAL = 0.3
# maximum block size for each read transaction
BLOCK_SIZE = 20
# PN532 is the NFC tag reader module
class PN532(object... | tag_reader/api.py |
from . import register
from .smbus2.smbus2 import SMBus, i2c_msg
from random import randint
import time
import logging
# rest time in second betweet each read/write transaction
REST_INTERVAL = 0.3
# maximum block size for each read transaction
BLOCK_SIZE = 20
# PN532 is the NFC tag reader module
class PN532(object... | 0.279533 | 0.222362 |
import logging
import networkx as nx
from primrose.configuration.util import OperationType, ConfigurationError
import matplotlib.pyplot as plt
from networkx.algorithms.shortest_paths.generic import has_path
from primrose.node_factory import NodeFactory
from primrose.base.conditional_path_node import AbstractConditional... | primrose/configuration/configuration_dag.py | import logging
import networkx as nx
from primrose.configuration.util import OperationType, ConfigurationError
import matplotlib.pyplot as plt
from networkx.algorithms.shortest_paths.generic import has_path
from primrose.node_factory import NodeFactory
from primrose.base.conditional_path_node import AbstractConditional... | 0.838051 | 0.54692 |
import json
from http.client import HTTPException
from urllib.request import Request, urlopen
from dotenv import dotenv_values, load_dotenv
from fastapi import FastAPI, Header
from fastapi.middleware.cors import CORSMiddleware
from jose import jwt
from starlette.responses import JSONResponse, Response
from model.user... | controller/private_api.py | import json
from http.client import HTTPException
from urllib.request import Request, urlopen
from dotenv import dotenv_values, load_dotenv
from fastapi import FastAPI, Header
from fastapi.middleware.cors import CORSMiddleware
from jose import jwt
from starlette.responses import JSONResponse, Response
from model.user... | 0.387227 | 0.060252 |
import torch
import torch.nn as nn
from copy import deepcopy
class GeneratorFemnist(nn.Module):
'''
The generator for Femnist dataset
'''
def __init__(self, noise_dim=100):
super(GeneratorFemnist, self).__init__()
module_list = []
module_list.append(
nn.Linear(in_f... | federatedscope/attack/models/gan_based_model.py | import torch
import torch.nn as nn
from copy import deepcopy
class GeneratorFemnist(nn.Module):
'''
The generator for Femnist dataset
'''
def __init__(self, noise_dim=100):
super(GeneratorFemnist, self).__init__()
module_list = []
module_list.append(
nn.Linear(in_f... | 0.830353 | 0.341212 |
def find_top_confirmed(n = 15):
import pandas as pd
corona_df=pd.read_csv("dataset2.csv")
by_country = corona_df.groupby('Country_Region').sum()[['Confirmed', 'Deaths', 'Recovered', 'Active']]
cdf = by_country.nlargest(n, 'Confirmed')[['Confirmed']]
return cdf
cdf=find_top_confirmed()
pairs=[... | app.py | def find_top_confirmed(n = 15):
import pandas as pd
corona_df=pd.read_csv("dataset2.csv")
by_country = corona_df.groupby('Country_Region').sum()[['Confirmed', 'Deaths', 'Recovered', 'Active']]
cdf = by_country.nlargest(n, 'Confirmed')[['Confirmed']]
return cdf
cdf=find_top_confirmed()
pairs=[... | 0.276593 | 0.147187 |
import ipaddress
import re
from .feature import Feature
from .vrf import VRF
from .cisco_secret import CiscoSecret
from .nxcli import *
import nxos_utils
class OSPFSession(Feature):
'''
Use this class to configure the OSPF feature.
'''
def __init__(self, Instance=None, vrf='default'):
self._... | Python nxapi scripts/cisco/ospf.py | import ipaddress
import re
from .feature import Feature
from .vrf import VRF
from .cisco_secret import CiscoSecret
from .nxcli import *
import nxos_utils
class OSPFSession(Feature):
'''
Use this class to configure the OSPF feature.
'''
def __init__(self, Instance=None, vrf='default'):
self._... | 0.582016 | 0.151122 |
from pdip.data import RepositoryProvider
from pdip.dependency.container import DependencyContainer
from pdip.logging.loggers.database import SqlLogger
from pdip.data import Seed
from pdi.domain.connection import ConnectionType, ConnectorType
class ConnectionSeed(Seed):
def seed(self):
try:
re... | src/api/pdi/domain/connection/ConnectionSeed.py | from pdip.data import RepositoryProvider
from pdip.dependency.container import DependencyContainer
from pdip.logging.loggers.database import SqlLogger
from pdip.data import Seed
from pdi.domain.connection import ConnectionType, ConnectorType
class ConnectionSeed(Seed):
def seed(self):
try:
re... | 0.296349 | 0.149656 |
import os
import sys
import shutil
import pysam
import breakmer.utils as utils
__author__ = "<NAME>"
__copyright__ = "Copyright 2015, <NAME>"
__email__ = "<EMAIL>"
__license__ = "MIT"
class ParamManager(object):
"""ParamManager class stores all the input specifications provided to the program to run. These inc... | breakmer/params.py |
import os
import sys
import shutil
import pysam
import breakmer.utils as utils
__author__ = "<NAME>"
__copyright__ = "Copyright 2015, <NAME>"
__email__ = "<EMAIL>"
__license__ = "MIT"
class ParamManager(object):
"""ParamManager class stores all the input specifications provided to the program to run. These inc... | 0.586523 | 0.197522 |
import numpy as np
# file template
# each row is "rel_id rel_type word1 word2"
# rel_type is 0 if not any subword information and any integer > 0 identifies the particular type of morphological relation
# filters out any words that aren't in the model vocabulary
def clean_dset(inpath, outpath, model):
filein = op... | evaluation/analogy_dataset.py | import numpy as np
# file template
# each row is "rel_id rel_type word1 word2"
# rel_type is 0 if not any subword information and any integer > 0 identifies the particular type of morphological relation
# filters out any words that aren't in the model vocabulary
def clean_dset(inpath, outpath, model):
filein = op... | 0.125172 | 0.218096 |
def build_trinuc_lookup():
'''
Builds a trinuc-to-index and index-to-trinuc dictionaries for decoding indicators values and trinucleotide strings.
:return: trinuc: index, index: trinuc
'''
values = []
index = 0
for c in "ACGT":
for d in "ACGT":
for ref in "CT":
... | glider/utils/trinucs.py | def build_trinuc_lookup():
'''
Builds a trinuc-to-index and index-to-trinuc dictionaries for decoding indicators values and trinucleotide strings.
:return: trinuc: index, index: trinuc
'''
values = []
index = 0
for c in "ACGT":
for d in "ACGT":
for ref in "CT":
... | 0.625438 | 0.668907 |
max_predicate = lambda a, b: a[1] <= b[1]
class Heap:
def __init__(self):
self.heap = []
def heap_swap(self, a, b):
t = self.heap[a]
self.heap[a] = self.heap[b]
self.heap[b] = t
def _heapify(self, heap_size, x, predicate):
left = 2 * (x + 1) - 1
right = ... | pymsvlm/msAlign/Heap.py | max_predicate = lambda a, b: a[1] <= b[1]
class Heap:
def __init__(self):
self.heap = []
def heap_swap(self, a, b):
t = self.heap[a]
self.heap[a] = self.heap[b]
self.heap[b] = t
def _heapify(self, heap_size, x, predicate):
left = 2 * (x + 1) - 1
right = ... | 0.673729 | 0.460107 |
import logging
import os
import shutil
import pytest
import semver
from click.testing import CliRunner
from git import Git
from create_python_project import RepositoryManager, ProjectManager
DIR_NAME = os.path.dirname(__file__)
@pytest.fixture(scope='function')
def config_path():
yield os.path.join(DIR_NAME, '... | tests/conftest.py | import logging
import os
import shutil
import pytest
import semver
from click.testing import CliRunner
from git import Git
from create_python_project import RepositoryManager, ProjectManager
DIR_NAME = os.path.dirname(__file__)
@pytest.fixture(scope='function')
def config_path():
yield os.path.join(DIR_NAME, '... | 0.445047 | 0.15588 |
from contextlib import contextmanager
import logging
import os
import time
from tempfile import NamedTemporaryFile
from alembic import command
from alembic.config import Config
from sqlalchemy import and_, create_engine, event, or_
from sqlalchemy.orm.session import sessionmaker
from sqlalchemy.exc import Operationa... | buildgrid/server/persistence/sql/impl.py |
from contextlib import contextmanager
import logging
import os
import time
from tempfile import NamedTemporaryFile
from alembic import command
from alembic.config import Config
from sqlalchemy import and_, create_engine, event, or_
from sqlalchemy.orm.session import sessionmaker
from sqlalchemy.exc import Operationa... | 0.623262 | 0.087369 |
import time
from rpi_ws281x import Adafruit_NeoPixel, Color
class LedStrip():
def __init__(
self,
ledCount = 110, # Number of LED pixels.
ledPin = 18, # GPIO pin connected to the pixels (18 uses PWM, 10 uses SPI /dev/spidev0.0).
ledFreqHz = 800000, # LED signal frequency ... | ledstrip.py | import time
from rpi_ws281x import Adafruit_NeoPixel, Color
class LedStrip():
def __init__(
self,
ledCount = 110, # Number of LED pixels.
ledPin = 18, # GPIO pin connected to the pixels (18 uses PWM, 10 uses SPI /dev/spidev0.0).
ledFreqHz = 800000, # LED signal frequency ... | 0.68679 | 0.23895 |
import argparse
import json
import sys
import time
import signal
import logging
import logging.config
import traceback
from typing import List, Tuple
from pathlib import Path
from pysimpledlna.ui.playlist import PlayListEditor
import os
from pysimpledlna import SimpleDLNAServer, Device
from pysimpledlna.ac import Ac... | pysimpledlna/cli.py | import argparse
import json
import sys
import time
import signal
import logging
import logging.config
import traceback
from typing import List, Tuple
from pathlib import Path
from pysimpledlna.ui.playlist import PlayListEditor
import os
from pysimpledlna import SimpleDLNAServer, Device
from pysimpledlna.ac import Ac... | 0.201813 | 0.046378 |
from __future__ import unicode_literals
from datetime import datetime, timedelta
from django.contrib.auth.models import User
from django.db import models
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _
import operator
class UserProfile(models.Model):
user = models.OneToOneF... | base/models.py | from __future__ import unicode_literals
from datetime import datetime, timedelta
from django.contrib.auth.models import User
from django.db import models
from django.db.models import Q
from django.utils.translation import ugettext_lazy as _
import operator
class UserProfile(models.Model):
user = models.OneToOneF... | 0.575707 | 0.089813 |
import typing
from dataclasses import dataclass
from typing import Generic, TypeVar, Union
import numpy as np
T = TypeVar("T", int, float)
@dataclass
class Point2DBaseGeometry(Generic[T]):
"""Represents a 2D Point.
Args:
x: :attr:`~.Point2D.x`
y: :attr:`~.Point2D.y`
class_id: :attr:... | paralleldomain/model/geometry/point_2d.py | import typing
from dataclasses import dataclass
from typing import Generic, TypeVar, Union
import numpy as np
T = TypeVar("T", int, float)
@dataclass
class Point2DBaseGeometry(Generic[T]):
"""Represents a 2D Point.
Args:
x: :attr:`~.Point2D.x`
y: :attr:`~.Point2D.y`
class_id: :attr:... | 0.932684 | 0.577495 |
level_dict["hidden"] = {
"scheme": "metal_scheme",
"size": (9,9,9),
"intro": "hidden",
"help": (
"$scale(1.5)mission:\nactivate the exit!\n\n" + \
... | py/levels/hidden.py | level_dict["hidden"] = {
"scheme": "metal_scheme",
"size": (9,9,9),
"intro": "hidden",
"help": (
"$scale(1.5)mission:\nactivate the exit!\n\n" + \
... | 0.333503 | 0.245718 |
import datetime
from django.conf import settings
from django.contrib import auth
from django.core.exceptions import ImproperlyConfigured
from django.shortcuts import get_object_or_404
from django.utils.module_loading import import_string
from .models import IdP
IDP_SESSION_KEY = "_idpid"
NAMEID_SESSION_KEY = "_namei... | pucadmin/sp/utils.py | import datetime
from django.conf import settings
from django.contrib import auth
from django.core.exceptions import ImproperlyConfigured
from django.shortcuts import get_object_or_404
from django.utils.module_loading import import_string
from .models import IdP
IDP_SESSION_KEY = "_idpid"
NAMEID_SESSION_KEY = "_namei... | 0.314471 | 0.05549 |
# ----------------------------------------- Higher-level Chain functions -----------------------------------------------
def makeChain(functionDictList, preiterable=None, inMethod=None, in_kwargs=None, writeInfoExists=False,
recordMethod=None, record_kwargs=None, writeInfo_recordkw=None, extractMethod=... | msbrainpy/chain.py |
# ----------------------------------------- Higher-level Chain functions -----------------------------------------------
def makeChain(functionDictList, preiterable=None, inMethod=None, in_kwargs=None, writeInfoExists=False,
recordMethod=None, record_kwargs=None, writeInfo_recordkw=None, extractMethod=... | 0.697403 | 0.663969 |
import os
import sys
import tempfile
try:
import pydot
except ImportError:
# Workaround for an obscure test case: on some TeamCity build hosts, we run
# self-tests from a Mercurial checkout rather than from a pip install. In that
# scenario, pip can't have fulfilled our pydot2 requirement, so import py... | autobuild/autobuild_tool_graph.py | import os
import sys
import tempfile
try:
import pydot
except ImportError:
# Workaround for an obscure test case: on some TeamCity build hosts, we run
# self-tests from a Mercurial checkout rather than from a pip install. In that
# scenario, pip can't have fulfilled our pydot2 requirement, so import py... | 0.310694 | 0.159774 |
import json, sys
from collections import defaultdict
def aggregate(pdf_filepath, report, aggregated_report_filepath):
agg_report = {
"failures": defaultdict(list),
"errors": defaultdict(list),
}
try:
with open(aggregated_report_filepath) as agg_file:
prev_agg_report = j... | SMSProject/venv/Lib/site-packages/scripts/checker_commons.py | import json, sys
from collections import defaultdict
def aggregate(pdf_filepath, report, aggregated_report_filepath):
agg_report = {
"failures": defaultdict(list),
"errors": defaultdict(list),
}
try:
with open(aggregated_report_filepath) as agg_file:
prev_agg_report = j... | 0.095181 | 0.112942 |
from .host_performance_metric_group import HostPerformanceMetricGroup
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class HostTopProcesses(HostPerformanceMetricGroup):
... | src/oci/opsi/models/host_top_processes.py |
from .host_performance_metric_group import HostPerformanceMetricGroup
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class HostTopProcesses(HostPerformanceMetricGroup):
... | 0.841858 | 0.252531 |
import cantera as ct
import csv
import numpy as np
import sys
from PyQt4 import QtGui, QtCore
# define gui app and widget
app = QtGui.QApplication(sys.argv)
# Widget class with changed icon
class NSortableTableWidgetItem(QtGui.QTableWidgetItem):
# Implement less than (<) for numeric table widget items.... | equilibrium_simple_gas.py | import cantera as ct
import csv
import numpy as np
import sys
from PyQt4 import QtGui, QtCore
# define gui app and widget
app = QtGui.QApplication(sys.argv)
# Widget class with changed icon
class NSortableTableWidgetItem(QtGui.QTableWidgetItem):
# Implement less than (<) for numeric table widget items.... | 0.302494 | 0.086478 |
import argparse
import platform
import os
DATASET_DIR = "./datasets"
TARGETS = [
("apple", "get_apple.py"),
("bee_waggle_6", "get_bee_waggle_6.py"),
("bitcoin", "get_bitcoin.py"),
("iceland_tourism", "get_iceland_tourism.py"),
("measles", "get_measles.py"),
("occupancy", "get_occupancy.py"),
... | build_tcpd.py | import argparse
import platform
import os
DATASET_DIR = "./datasets"
TARGETS = [
("apple", "get_apple.py"),
("bee_waggle_6", "get_bee_waggle_6.py"),
("bitcoin", "get_bitcoin.py"),
("iceland_tourism", "get_iceland_tourism.py"),
("measles", "get_measles.py"),
("occupancy", "get_occupancy.py"),
... | 0.430147 | 0.208179 |
import os
from dataclasses import dataclass
from typing import (
List,
Optional
)
from aws_cdk.core import (
Construct,
Stack,
StackProps
)
from aws_cdk.aws_ec2 import (
BastionHostLinux,
IMachineImage,
IVpc,
Port,
SubnetSelection
)
from aws_cdk.aws_s3_assets import (
Asset
)... | examples/deadline/All-In-AWS-Infrastructure-Basic/python/package/lib/compute_tier.py |
import os
from dataclasses import dataclass
from typing import (
List,
Optional
)
from aws_cdk.core import (
Construct,
Stack,
StackProps
)
from aws_cdk.aws_ec2 import (
BastionHostLinux,
IMachineImage,
IVpc,
Port,
SubnetSelection
)
from aws_cdk.aws_s3_assets import (
Asset
)... | 0.705886 | 0.130867 |
__author__ = 'rochelle'
#!/usr/bin/env python
import csv
import arcpy
import logging
logger = logging.getLogger('LoadSurveyData')
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.DEBUG)
arcpy.env.workspace = r"Database Connections\vampire_vampire_gdb_localhost.sde"
de... | python/household_survey/LoadSurveyData.py | __author__ = 'rochelle'
#!/usr/bin/env python
import csv
import arcpy
import logging
logger = logging.getLogger('LoadSurveyData')
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.DEBUG)
arcpy.env.workspace = r"Database Connections\vampire_vampire_gdb_localhost.sde"
de... | 0.214774 | 0.101367 |
import os
import re
import tkinter as tk
import tkinter.simpledialog
from tkinter import PhotoImage
from tkinter import filedialog
from tkinter import messagebox
from PIL import ImageGrab
import MoonlightMiner
from CustomWidgets import CustomButton, RecentButton, CustomLabel, CustomFrame
class PDFReader(t... | Moonlight PDF Reader/application.pyw | import os
import re
import tkinter as tk
import tkinter.simpledialog
from tkinter import PhotoImage
from tkinter import filedialog
from tkinter import messagebox
from PIL import ImageGrab
import MoonlightMiner
from CustomWidgets import CustomButton, RecentButton, CustomLabel, CustomFrame
class PDFReader(t... | 0.273866 | 0.062732 |
#Importing libraries
from bokeh.plotting import figure
from bokeh.io import output_file, show
from bokeh.sampledata.iris import flowers
from bokeh.models import Range1d, PanTool, ResetTool, HoverTool, WheelZoomTool
from screeninfo import get_monitors
#Define the output file path
output_file("iris.html")
#... | S3-Plotting Flower Species.py |
#Importing libraries
from bokeh.plotting import figure
from bokeh.io import output_file, show
from bokeh.sampledata.iris import flowers
from bokeh.models import Range1d, PanTool, ResetTool, HoverTool, WheelZoomTool
from screeninfo import get_monitors
#Define the output file path
output_file("iris.html")
#... | 0.411466 | 0.266322 |
from datetime import datetime
import requests
from PyQt5 import QtWidgets, QtCore
import clientui
import user_and_passui
import errorui
URL = 'http://127.0.0.1:5000/'
VERSION = "1.0.0"
THEMES = ["color: rgb(255, 255, 255); background-color: rgba(0, 255, 254, 0);",
"background-color: qlineargradient(spread:p... | messenger.py | from datetime import datetime
import requests
from PyQt5 import QtWidgets, QtCore
import clientui
import user_and_passui
import errorui
URL = 'http://127.0.0.1:5000/'
VERSION = "1.0.0"
THEMES = ["color: rgb(255, 255, 255); background-color: rgba(0, 255, 254, 0);",
"background-color: qlineargradient(spread:p... | 0.317003 | 0.091951 |
import urllib.request, json
from .models import Articles
from .models import Sources
Articles = Articles
Sources = Sources
#Getting Api key
API_KEY = None
source_url = None
source_articles_url = None
#Getting base url
def configure_request(app):
global api_key, source_articles_url, source_url
api_key = app.confi... | app/requests.py | import urllib.request, json
from .models import Articles
from .models import Sources
Articles = Articles
Sources = Sources
#Getting Api key
API_KEY = None
source_url = None
source_articles_url = None
#Getting base url
def configure_request(app):
global api_key, source_articles_url, source_url
api_key = app.confi... | 0.314051 | 0.046055 |
import json
import logging as log
import redis
import crawl_monitor.settings as settings
NUM_SPLIT = 'num_split'
SOURCE_SET = 'inbound_sources'
def parse_message(message):
try:
decoded = json.loads(str(message.value(), 'utf-8'))
decoded['source'] = decoded['source'].lower()
except (json.JSOND... | crawl_monitor/source_splitter.py | import json
import logging as log
import redis
import crawl_monitor.settings as settings
NUM_SPLIT = 'num_split'
SOURCE_SET = 'inbound_sources'
def parse_message(message):
try:
decoded = json.loads(str(message.value(), 'utf-8'))
decoded['source'] = decoded['source'].lower()
except (json.JSOND... | 0.489748 | 0.13925 |
data = (
'ha', # 0x00
'hu', # 0x01
'hi', # 0x02
'haa', # 0x03
'hee', # 0x04
'he', # 0x05
'ho', # 0x06
None, # 0x07
'la', # 0x08
'lu', # 0x09
'li', # 0x0a
'laa', # 0x0b
'lee', # 0x0c
'le', # 0x0d
'lo', # 0x0e
'lwa', # 0x0f
'hha', # 0x10
'hhu', # 0x11
'hhi', # 0x12... | Lib/site-packages/unidecode/x012.py | data = (
'ha', # 0x00
'hu', # 0x01
'hi', # 0x02
'haa', # 0x03
'hee', # 0x04
'he', # 0x05
'ho', # 0x06
None, # 0x07
'la', # 0x08
'lu', # 0x09
'li', # 0x0a
'laa', # 0x0b
'lee', # 0x0c
'le', # 0x0d
'lo', # 0x0e
'lwa', # 0x0f
'hha', # 0x10
'hhu', # 0x11
'hhi', # 0x12... | 0.049051 | 0.185338 |
from django.conf.urls import url, re_path
from django.contrib import admin
from django.urls import include
from rest_framework.urlpatterns import format_suffix_patterns
from rest_framework.schemas import get_schema_view
from rest_framework_jwt.views import obtain_jwt_token, refresh_jwt_token, \
verify_jwt_token
f... | moviebase/moviebase/urls.py | from django.conf.urls import url, re_path
from django.contrib import admin
from django.urls import include
from rest_framework.urlpatterns import format_suffix_patterns
from rest_framework.schemas import get_schema_view
from rest_framework_jwt.views import obtain_jwt_token, refresh_jwt_token, \
verify_jwt_token
f... | 0.361616 | 0.098339 |
import os
import sys
import jinja2
import json
PROJECT_PATH = os.path.dirname(os.path.realpath(__file__))
# load jinja templates
template_path = os.path.join(PROJECT_PATH, 'templates')
template_loader = jinja2.FileSystemLoader(searchpath=template_path)
template_env = jinja2.Environment(loader=template_loader, keep_t... | publish_img.py | import os
import sys
import jinja2
import json
PROJECT_PATH = os.path.dirname(os.path.realpath(__file__))
# load jinja templates
template_path = os.path.join(PROJECT_PATH, 'templates')
template_loader = jinja2.FileSystemLoader(searchpath=template_path)
template_env = jinja2.Environment(loader=template_loader, keep_t... | 0.407923 | 0.17441 |
import prody as pr
import numpy as np
from prody.utilities.catchall import getCoords
from scipy.spatial.transform import Rotation
from sklearn.neighbors import NearestNeighbors
import os
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem.rdmolfiles import MolToPDBFile
from ..basic import prody_ext ... | metalprot/combs/position_ligand.py | import prody as pr
import numpy as np
from prody.utilities.catchall import getCoords
from scipy.spatial.transform import Rotation
from sklearn.neighbors import NearestNeighbors
import os
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem.rdmolfiles import MolToPDBFile
from ..basic import prody_ext ... | 0.492432 | 0.377627 |
import json
import logging
from django.test.client import Client
from networkapi.test.test_case import NetworkApiTestCase
log = logging.getLogger(__name__)
class EquipmentPostSuccessTestCase(NetworkApiTestCase):
fixtures = [
'networkapi/system/fixtures/initial_variables.json',
'networkapi/usua... | networkapi/api_equipment/v4/tests/sanity/test_equipment_post.py | import json
import logging
from django.test.client import Client
from networkapi.test.test_case import NetworkApiTestCase
log = logging.getLogger(__name__)
class EquipmentPostSuccessTestCase(NetworkApiTestCase):
fixtures = [
'networkapi/system/fixtures/initial_variables.json',
'networkapi/usua... | 0.417746 | 0.068475 |
from decimal import Decimal
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.template.defaultfilters import slugify
from django.conf import settings
from oscar.apps.shipping.methods import ShippingMethod
class AbstractOrderAndItemLevelChargeMethod(models.Model, Shippi... | oscar/apps/shipping/abstract_models.py | from decimal import Decimal
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.template.defaultfilters import slugify
from django.conf import settings
from oscar.apps.shipping.methods import ShippingMethod
class AbstractOrderAndItemLevelChargeMethod(models.Model, Shippi... | 0.658637 | 0.142649 |
from celery import shared_task, chain
from django.db import IntegrityError
from django.utils.dateparse import parse_datetime
from django.utils.timezone import now
from eveuniverse.core.esitools import is_esi_online
from eveuniverse.tasks import update_unresolved_eve_entities
from allianceauth.services.hooks import g... | killtracker/tasks.py | from celery import shared_task, chain
from django.db import IntegrityError
from django.utils.dateparse import parse_datetime
from django.utils.timezone import now
from eveuniverse.core.esitools import is_esi_online
from eveuniverse.tasks import update_unresolved_eve_entities
from allianceauth.services.hooks import g... | 0.392453 | 0.070688 |
from datetime import datetime
from unittest import TestCase
from PyProjManCore.task import Task
from PyProjManCore.time_element import TimeElement
class TestTaskParameters(TestCase):
"""Test Fields of Task Object"""
def test_id(self):
"""Check if Task ID has UUID Version 4"""
t = Task()
... | UnitTesting/test_task.py | from datetime import datetime
from unittest import TestCase
from PyProjManCore.task import Task
from PyProjManCore.time_element import TimeElement
class TestTaskParameters(TestCase):
"""Test Fields of Task Object"""
def test_id(self):
"""Check if Task ID has UUID Version 4"""
t = Task()
... | 0.735642 | 0.592254 |
import json
from glob import glob
import numpy as np
from sklearn.metrics import f1_score, average_precision_score
from sklearn.model_selection import train_test_split
from models import rnn_classifier, transformer_classifier
from prepare_data import get_id_from_path, labels_to_vector, random_crop
from tqdm import tq... | code/evaluate.py | import json
from glob import glob
import numpy as np
from sklearn.metrics import f1_score, average_precision_score
from sklearn.model_selection import train_test_split
from models import rnn_classifier, transformer_classifier
from prepare_data import get_id_from_path, labels_to_vector, random_crop
from tqdm import tq... | 0.605799 | 0.290603 |
import re
import statsmodels.api as sm
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import math
def parse_times_file(filename):
f = open(filename, "r")
lines = f.readlines()
f.close()
# Get the filename of the manifest these results are for
p = re.compile(".*(/.*\.json).*"... | benchmark/performance_visualization.py |
import re
import statsmodels.api as sm
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import math
def parse_times_file(filename):
f = open(filename, "r")
lines = f.readlines()
f.close()
# Get the filename of the manifest these results are for
p = re.compile(".*(/.*\.json).*"... | 0.347426 | 0.423696 |
WEBSOCKET_DATETIME_FORMAT = "%Y-%m-%dT%H:%M:%S.%fZ"
class AcceptedFriendRequestEvent:
def __init__(self, chat_uuid, acceptor_uuid, acceptor_email, acceptor_username):
self._type = "accepted_friend_request"
self._chat_uuid = chat_uuid
self._acceptor_uuid = acceptor_uuid
self._accep... | realtime/events.py |
WEBSOCKET_DATETIME_FORMAT = "%Y-%m-%dT%H:%M:%S.%fZ"
class AcceptedFriendRequestEvent:
def __init__(self, chat_uuid, acceptor_uuid, acceptor_email, acceptor_username):
self._type = "accepted_friend_request"
self._chat_uuid = chat_uuid
self._acceptor_uuid = acceptor_uuid
self._accep... | 0.732305 | 0.093678 |
import random
import pandas as pd
import os
from pydub import AudioSegment
import argparse
def parse_arguments():
parser = argparse.ArgumentParser(description='')
parser.add_argument("-i", "--input_dir",
required=True, help="Input directory")
parser.add_argument("-p",... | training/audio_preprocessing.py | import random
import pandas as pd
import os
from pydub import AudioSegment
import argparse
def parse_arguments():
parser = argparse.ArgumentParser(description='')
parser.add_argument("-i", "--input_dir",
required=True, help="Input directory")
parser.add_argument("-p",... | 0.278355 | 0.095349 |
import sys
if __name__ == '__main__':
sys.path.append('../../bookend')
class SJobject:
def __init__(self, line, linetype=None):
"""Parses a line of SJ.out.tab or SJ.bed to an SJ object.
O-indexed open coordinates."""
fields = line.rstrip().split('\t')
if linetype is None:
... | bookend/core/sj_merge.py |
import sys
if __name__ == '__main__':
sys.path.append('../../bookend')
class SJobject:
def __init__(self, line, linetype=None):
"""Parses a line of SJ.out.tab or SJ.bed to an SJ object.
O-indexed open coordinates."""
fields = line.rstrip().split('\t')
if linetype is None:
... | 0.483892 | 0.210502 |
import logging
import tkinter as tk
import cv2
from cv2 import *
from gui.operations.operation_template import OperationTemplate
from gui.tabpicture import TabPicture
class OperationAdaptiveThreshold(OperationTemplate):
adaptiveMethodOptions = {'Gaussion': cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
... | gui/operations/OperationsLinear/adap_prog.py | import logging
import tkinter as tk
import cv2
from cv2 import *
from gui.operations.operation_template import OperationTemplate
from gui.tabpicture import TabPicture
class OperationAdaptiveThreshold(OperationTemplate):
adaptiveMethodOptions = {'Gaussion': cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
... | 0.295636 | 0.115088 |
from base import *
from lm import *
from . import *
from .trf import DefaultOps
from trf.nce import noise
class Config(trf.Config):
def __init__(self, data):
super().__init__(data)
del self.__dict__['pi_0']
average_len = np.sum(np.arange(self.max_len+1) * self.pi_true)
... | hrf/trf_g.py | from base import *
from lm import *
from . import *
from .trf import DefaultOps
from trf.nce import noise
class Config(trf.Config):
def __init__(self, data):
super().__init__(data)
del self.__dict__['pi_0']
average_len = np.sum(np.arange(self.max_len+1) * self.pi_true)
... | 0.399812 | 0.10904 |
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
from scipy.optimize import curve_fit
import astropy.table as t
from astropy import units as u, constants as c
from importer import *
import manga_tools as m
import smsd
from radial import radial_gp
def make_manga_dms_comparison(res, pca_sys... | dms_compare.py |
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
from scipy.optimize import curve_fit
import astropy.table as t
from astropy import units as u, constants as c
from importer import *
import manga_tools as m
import smsd
from radial import radial_gp
def make_manga_dms_comparison(res, pca_sys... | 0.642096 | 0.477311 |
PID_INDEX = 2
TITLE_INDEX = 4
import subprocess
import sys
import time
def get_windows():
"""Return the output of `wmctrl -l -p` as list of lines.
This is basicaly the list of windows currently opened.
See man wmctrl for more info.
"""
pr = subprocess.run(["wmctrl","-l","-p"], text=True, stdout=s... | launch_on_workspace/launcher.py | PID_INDEX = 2
TITLE_INDEX = 4
import subprocess
import sys
import time
def get_windows():
"""Return the output of `wmctrl -l -p` as list of lines.
This is basicaly the list of windows currently opened.
See man wmctrl for more info.
"""
pr = subprocess.run(["wmctrl","-l","-p"], text=True, stdout=s... | 0.624637 | 0.464902 |
from datetime import *
from mongoengine import *
import operator
from flask_jwt import jwt_required, current_identity
from flask_restful import reqparse, Resource
from static import app_constant, status
from models.comment import BaseComment
from models.base_event import BaseEvent
from models.action import BaseAction
... | services/event_service/comment_services.py | from datetime import *
from mongoengine import *
import operator
from flask_jwt import jwt_required, current_identity
from flask_restful import reqparse, Resource
from static import app_constant, status
from models.comment import BaseComment
from models.base_event import BaseEvent
from models.action import BaseAction
... | 0.387574 | 0.078254 |
from DAN_Task import DANetClassifier, DANetRegressor
import argparse
import os
import torch.distributed
import torch.backends.cudnn
from sklearn.metrics import accuracy_score, mean_squared_error
from data.dataset import get_data
from lib.utils import normalize_reg_label
from qhoptim.pyt import QHAdam
from config.defaul... | main.py | from DAN_Task import DANetClassifier, DANetRegressor
import argparse
import os
import torch.distributed
import torch.backends.cudnn
from sklearn.metrics import accuracy_score, mean_squared_error
from data.dataset import get_data
from lib.utils import normalize_reg_label
from qhoptim.pyt import QHAdam
from config.defaul... | 0.635109 | 0.105533 |
import time
import requests as requests
from configparser import ConfigParser
class Ticker:
def __init__(self):
config = ConfigParser()
config.read_file(open('config.ini'))
self.url = config['ticker']['url']
self.key = config['ticker']['responce_key'].split(',\n')
def get_ti... | bitfinex/api/data.py | import time
import requests as requests
from configparser import ConfigParser
class Ticker:
def __init__(self):
config = ConfigParser()
config.read_file(open('config.ini'))
self.url = config['ticker']['url']
self.key = config['ticker']['responce_key'].split(',\n')
def get_ti... | 0.21626 | 0.092647 |
import pprint
import re # noqa: F401
import six
from OsduClient.configuration import Configuration
class FileToManyRelationship(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict):... | src/sdk/python/OsduClient/models/file_to_many_relationship.py | import pprint
import re # noqa: F401
import six
from OsduClient.configuration import Configuration
class FileToManyRelationship(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict):... | 0.744842 | 0.244577 |
import numpy as np
import scipy
import warnings
import utils
from . import model
def compute_crlb(x_aoa, xs, cov):
"""
Computes the CRLB on position accuracy for source at location xs and
sensors at locations in x_aoa (Ndim x N). C is an NxN matrix of TOA
covariances at each of the N sensors.
P... | triang/perf.py | import numpy as np
import scipy
import warnings
import utils
from . import model
def compute_crlb(x_aoa, xs, cov):
"""
Computes the CRLB on position accuracy for source at location xs and
sensors at locations in x_aoa (Ndim x N). C is an NxN matrix of TOA
covariances at each of the N sensors.
P... | 0.794265 | 0.794604 |
from bsvlib.curve import multiply, curve, Point, get_y, negative, add
def test():
x = 0xe46dcd7991e5a4bd642739249b0158312e1aee56a60fd1bf622172ffe65bd789
y = 0x97693d32c540ac253de7a3dc73f7e4ba7b38d2dc1ecc8e07920b496fb107d6b2
p = Point(x, y)
k = 0xf97c89aaacf0cd2e47ddbacc97dae1f88bec49106ac37716c451dcdd... | tests/test_curve.py | from bsvlib.curve import multiply, curve, Point, get_y, negative, add
def test():
x = 0xe46dcd7991e5a4bd642739249b0158312e1aee56a60fd1bf622172ffe65bd789
y = 0x97693d32c540ac253de7a3dc73f7e4ba7b38d2dc1ecc8e07920b496fb107d6b2
p = Point(x, y)
k = 0xf97c89aaacf0cd2e47ddbacc97dae1f88bec49106ac37716c451dcdd... | 0.750095 | 0.339485 |
from pprint import pformat
from six import iteritems
import re
class CouponDefinition(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, created=None, changed_by=None, updated=None, id=None, crm_id=None, org... | billforward/models/coupon_definition.py | from pprint import pformat
from six import iteritems
import re
class CouponDefinition(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, created=None, changed_by=None, updated=None, id=None, crm_id=None, org... | 0.730482 | 0.099426 |
import sys
def read_matriz_file():
file = open('input/matriz_exercicio_caderno.txt','r')
dimensao = int(file.readline().replace('\n', ''))
matriz = []
rows = file.read().splitlines()
for line in rows:
matriz.append(list(map(float,line.split(' '))))
return dimensao, matriz
def read_veto... | EliminacaoDeGauss.py | import sys
def read_matriz_file():
file = open('input/matriz_exercicio_caderno.txt','r')
dimensao = int(file.readline().replace('\n', ''))
matriz = []
rows = file.read().splitlines()
for line in rows:
matriz.append(list(map(float,line.split(' '))))
return dimensao, matriz
def read_veto... | 0.049268 | 0.523664 |
# Imports here...
import numpy
def compress(a, n):
new_array = []
length = len(a)
pool_size = length // n + (length % n != 0)
for i in range(0, length, pool_size):
new_array.append(numpy.mean(a[i: i + n]))
return new_array
# Classes here...
class NeuralNetwork:
def __init__(self, i... | neural_network.py |
# Imports here...
import numpy
def compress(a, n):
new_array = []
length = len(a)
pool_size = length // n + (length % n != 0)
for i in range(0, length, pool_size):
new_array.append(numpy.mean(a[i: i + n]))
return new_array
# Classes here...
class NeuralNetwork:
def __init__(self, i... | 0.744099 | 0.597667 |
import ctypes
from itertools import product
import numpy as np
import sdl2
class Display:
"""Manager class to handle graphical output.
Args:
display_scale: Sets the scale factor of the graphics window.
Attributes:
pixel_buffer: Array of bools storing the current state of the pixel gr... | pychip8/display.py | import ctypes
from itertools import product
import numpy as np
import sdl2
class Display:
"""Manager class to handle graphical output.
Args:
display_scale: Sets the scale factor of the graphics window.
Attributes:
pixel_buffer: Array of bools storing the current state of the pixel gr... | 0.720172 | 0.1602 |
import flask
import six
from oslo_config import cfg
from oslo_log import log
from oslo_utils import uuidutils
from werkzeug import exceptions as werkzeug_exceptions
from hostha import context
from hostha.i18n import _LE
from hostha.api import v1 as api_v1
from hostha.common.utils import api as api_utils
CONF = cfg.C... | hostha/api/app.py |
import flask
import six
from oslo_config import cfg
from oslo_log import log
from oslo_utils import uuidutils
from werkzeug import exceptions as werkzeug_exceptions
from hostha import context
from hostha.i18n import _LE
from hostha.api import v1 as api_v1
from hostha.common.utils import api as api_utils
CONF = cfg.C... | 0.427994 | 0.065009 |
import random, os, sys, time, numpy
from shapely import *
from shapely.geometry import Point
filename = 'radius_search.png'
numberOfPoints = 1000
gridWidth = 10000
gridHeight = 10000
shapePoints = []
circleRadius = random.randint(500, 1500)
circleX = random.randint(0, gridWidth)
circleY = random.randint(0, gridHeight... | shapelyAreaSearch.py | import random, os, sys, time, numpy
from shapely import *
from shapely.geometry import Point
filename = 'radius_search.png'
numberOfPoints = 1000
gridWidth = 10000
gridHeight = 10000
shapePoints = []
circleRadius = random.randint(500, 1500)
circleX = random.randint(0, gridWidth)
circleY = random.randint(0, gridHeight... | 0.279632 | 0.308555 |
import os
import argparse
import numpy as np
import pyrender
import open3d as o3d
class OnscreenRenderer(object):
def __init__(self):
pass
def __call__(self, scene):
pyrender.Viewer(scene, use_raymond_lighting=True)
def setup_scene_and_renderer(mode):
"""
This function returns a tuple ... | visual_data_pyrender.py | import os
import argparse
import numpy as np
import pyrender
import open3d as o3d
class OnscreenRenderer(object):
def __init__(self):
pass
def __call__(self, scene):
pyrender.Viewer(scene, use_raymond_lighting=True)
def setup_scene_and_renderer(mode):
"""
This function returns a tuple ... | 0.539226 | 0.343342 |
import sys
import codecs
import setuptools
from version import __version__ as version
install_requires = [
'beautifulsoup4',
'decorator',
'kitchen',
'requests >=2.4.0', # https://github.com/tildeclub/ttrv/issues/325
'six',
]
tests_require = [
'coveralls',
'pytest>=3.1.0', # Pinned for ... | setup.py | import sys
import codecs
import setuptools
from version import __version__ as version
install_requires = [
'beautifulsoup4',
'decorator',
'kitchen',
'requests >=2.4.0', # https://github.com/tildeclub/ttrv/issues/325
'six',
]
tests_require = [
'coveralls',
'pytest>=3.1.0', # Pinned for ... | 0.3027 | 0.202286 |
import mock
import unittest
from nambaone.bot import Bot
from unittest.mock import patch, MagicMock
from nambaone.exceptions import ClientException, FileDownloadException, FileUploadException
class TestBot(unittest.TestCase):
test_token = '<PASSWORD>'
def setUp(self):
self.bot = Bot(self.t... | tests/test_bot.py | import mock
import unittest
from nambaone.bot import Bot
from unittest.mock import patch, MagicMock
from nambaone.exceptions import ClientException, FileDownloadException, FileUploadException
class TestBot(unittest.TestCase):
test_token = '<PASSWORD>'
def setUp(self):
self.bot = Bot(self.t... | 0.579638 | 0.265499 |
# Standard imports
from enum import Enum, auto
from typing import Union
# Third party imports
import numpy
# Relative imports
from ..utils.arrays import unique
from ..utils.constants import DTYPE_BOOL, DTYPE_FLOAT, DTYPE_INT, DTYPE_UINT8, DTYPE_STR, TYPE_ARRAY
class DataType(Enum):
""" Enum of different kinds ... | bananas/dataset/datatype.py |
# Standard imports
from enum import Enum, auto
from typing import Union
# Third party imports
import numpy
# Relative imports
from ..utils.arrays import unique
from ..utils.constants import DTYPE_BOOL, DTYPE_FLOAT, DTYPE_INT, DTYPE_UINT8, DTYPE_STR, TYPE_ARRAY
class DataType(Enum):
""" Enum of different kinds ... | 0.870968 | 0.712995 |
import os
import sys
import argparse
import shutil
#Globals
g_includedFiles = []
class COLORS:
DEFAULT = '\033[0m'
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
ERROR = '\033[91m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def printColor(text, color=COLORS.DEFAULT, resetColo... | verilog/runQflow.py | import os
import sys
import argparse
import shutil
#Globals
g_includedFiles = []
class COLORS:
DEFAULT = '\033[0m'
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
ERROR = '\033[91m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def printColor(text, color=COLORS.DEFAULT, resetColo... | 0.1661 | 0.08163 |
import jwt
import re
from flask import request, url_for, current_app, abort
from flask_sqlalchemy import DefaultMeta, BaseQuery
from functools import wraps
from sqlalchemy.orm.attributes import InstrumentedAttribute
from sqlalchemy.sql.expression import BinaryExpression
from typing import Tuple
from werkzeug.exceptions... | book_library_app/utils.py | import jwt
import re
from flask import request, url_for, current_app, abort
from flask_sqlalchemy import DefaultMeta, BaseQuery
from functools import wraps
from sqlalchemy.orm.attributes import InstrumentedAttribute
from sqlalchemy.sql.expression import BinaryExpression
from typing import Tuple
from werkzeug.exceptions... | 0.646795 | 0.089296 |
from geometry_msgs.msg import WrenchStamped
from baxter_core_msgs.msg import EndpointState
import msg_filters
import msg_filters_with_scaling
import msg_filters_with_scaling_and_clip
from rostopics_to_timeseries import RosTopicFilteringScheme
from smach_based_introspection_framework.msg import tactile_static
import ta... | src/smach_based_introspection_framework/offline_part/anomaly_classification_feature_selection/filtering_schemes.py | from geometry_msgs.msg import WrenchStamped
from baxter_core_msgs.msg import EndpointState
import msg_filters
import msg_filters_with_scaling
import msg_filters_with_scaling_and_clip
from rostopics_to_timeseries import RosTopicFilteringScheme
from smach_based_introspection_framework.msg import tactile_static
import ta... | 0.402627 | 0.135947 |
from telegram.ext import BaseFilter
from work_materials.globals import dispatcher
class FilterShadowLetter(BaseFilter):
def filter(self, message):
return message.text.find("/shadow_letter_") == 0
filter_shadow_letter= FilterShadowLetter()
class FilterAwaitingShadowLetter(BaseFilter):
def filter(self... | work_materials/filters/shadow_letter_filters.py | from telegram.ext import BaseFilter
from work_materials.globals import dispatcher
class FilterShadowLetter(BaseFilter):
def filter(self, message):
return message.text.find("/shadow_letter_") == 0
filter_shadow_letter= FilterShadowLetter()
class FilterAwaitingShadowLetter(BaseFilter):
def filter(self... | 0.435061 | 0.094552 |
import os
import sys
root_path = "/".join(os.path.realpath(__file__).split("/")[:-2])
if root_path not in sys.path:
sys.path.insert(0, root_path)
import torch
import time
from bin.eval_model import eval_checkpoint
def train(model, optimizer, train_dataloader, dev_dataloader, test_dataloader,
config, ... | bin/train_model.py |
import os
import sys
root_path = "/".join(os.path.realpath(__file__).split("/")[:-2])
if root_path not in sys.path:
sys.path.insert(0, root_path)
import torch
import time
from bin.eval_model import eval_checkpoint
def train(model, optimizer, train_dataloader, dev_dataloader, test_dataloader,
config, ... | 0.427516 | 0.193033 |
import pytest
import ipywidgets
from hypothesis import strategies as st
from hypothesis import given, settings
from superintendent import controls
from superintendent.controls import togglebuttongroup
from superintendent.controls import hintedmultiselect
DUMMY_KEYUP_DICT_ENTER = {
"altKey": False,
"ctrlKey... | tests/controls/test_multiclasssubmitter.py | import pytest
import ipywidgets
from hypothesis import strategies as st
from hypothesis import given, settings
from superintendent import controls
from superintendent.controls import togglebuttongroup
from superintendent.controls import hintedmultiselect
DUMMY_KEYUP_DICT_ENTER = {
"altKey": False,
"ctrlKey... | 0.563858 | 0.372534 |
from django.db import IntegrityError
from celery.execute import send_task
from .apitask import APITask
from thing.models.apikey import APIKey
from thing.models.character import Character
from thing.models.mailmessage import MailMessage
class MailMessages(APITask):
name = 'thing.mail_messages'
def run(sel... | thing/tasks/mailmessages.py |
from django.db import IntegrityError
from celery.execute import send_task
from .apitask import APITask
from thing.models.apikey import APIKey
from thing.models.character import Character
from thing.models.mailmessage import MailMessage
class MailMessages(APITask):
name = 'thing.mail_messages'
def run(sel... | 0.35768 | 0.089853 |
apiAttachAvailable = u'API jest dost\u0119pne'
apiAttachNotAvailable = u'Niedost\u0119pny'
apiAttachPendingAuthorization = u'Autoryzacja w toku'
apiAttachRefused = u'Odmowa'
apiAttachSuccess = u'Sukces'
apiAttachUnknown = u'Nieznany'
budDeletedFriend = u'Usuni\u0119ty z listy znajomych'
budFriend = u'Znajomy'
budNeverB... | Skype4Py/lang/pl.py | apiAttachAvailable = u'API jest dost\u0119pne'
apiAttachNotAvailable = u'Niedost\u0119pny'
apiAttachPendingAuthorization = u'Autoryzacja w toku'
apiAttachRefused = u'Odmowa'
apiAttachSuccess = u'Sukces'
apiAttachUnknown = u'Nieznany'
budDeletedFriend = u'Usuni\u0119ty z listy znajomych'
budFriend = u'Znajomy'
budNeverB... | 0.134463 | 0.0524 |
import sys
def formatFloat(flt):
# Remove any trailing 0's. If that leaves just a period, remove it too. We
# can't strip both at once otherwise '0.000' becomes '' and we want '0'
return str(flt).rstrip('0').rstrip('.')
class Node(object):
def __init__(self):
self._id = 0
self._idSet = False
self._name = "... | python/ns/bridge/data/Brain.py |
import sys
def formatFloat(flt):
# Remove any trailing 0's. If that leaves just a period, remove it too. We
# can't strip both at once otherwise '0.000' becomes '' and we want '0'
return str(flt).rstrip('0').rstrip('.')
class Node(object):
def __init__(self):
self._id = 0
self._idSet = False
self._name = "... | 0.176459 | 0.156814 |
import asyncio
import configparser
import logging.handlers
import os
import re
import sys
from datetime import datetime, timedelta
import telethon.events
from telethon.tl.functions.channels import EditBannedRequest, GetParticipantRequest, LeaveChannelRequest
from telethon.tl.functions.users import GetFullUserRequest
... | main.py | import asyncio
import configparser
import logging.handlers
import os
import re
import sys
from datetime import datetime, timedelta
import telethon.events
from telethon.tl.functions.channels import EditBannedRequest, GetParticipantRequest, LeaveChannelRequest
from telethon.tl.functions.users import GetFullUserRequest
... | 0.233794 | 0.045331 |
import psycopg2
from datetime import datetime
import psycopg2
from funcionario import *
class Departamento:
def __init__(self,nome):
self._nome = nome
self._vinculo = []
def _get_nome(self):
return self._nome
def _get_vinculo(self):
return self._vinculo
... | login/departamento.py | import psycopg2
from datetime import datetime
import psycopg2
from funcionario import *
class Departamento:
def __init__(self,nome):
self._nome = nome
self._vinculo = []
def _get_nome(self):
return self._nome
def _get_vinculo(self):
return self._vinculo
... | 0.124905 | 0.091707 |
from .bodydeclaration import BodyDeclaration
from ..type.classorinterfacetype import ClassOrInterfaceType
from ..typeparameter import TypeParameter
from . import _import
class ConstructorDeclaration(BodyDeclaration):
def __init__(self, kwargs={}):
super(ConstructorDeclaration, self).__init__(kwargs)
... | jskparser/ast/body/constructordeclaration.py |
from .bodydeclaration import BodyDeclaration
from ..type.classorinterfacetype import ClassOrInterfaceType
from ..typeparameter import TypeParameter
from . import _import
class ConstructorDeclaration(BodyDeclaration):
def __init__(self, kwargs={}):
super(ConstructorDeclaration, self).__init__(kwargs)
... | 0.561455 | 0.215124 |
from random import Random
from multiprocessing import cpu_count
from inspyred import ec
from optimModels.optimization import evaluators, generators, replacers, variators, observers
from optimModels.utils.constantes import optimType
class EAConfigurations:
"""
Basic configurations to Evolutionary Algorithm.
... | src/optimModels/optimization/evolutionary_computation.py | from random import Random
from multiprocessing import cpu_count
from inspyred import ec
from optimModels.optimization import evaluators, generators, replacers, variators, observers
from optimModels.utils.constantes import optimType
class EAConfigurations:
"""
Basic configurations to Evolutionary Algorithm.
... | 0.726134 | 0.285883 |
import numpy as np
from batchgenerators.transforms import Compose, MirrorTransform
from batchgenerators.transforms.crop_and_pad_transforms import CenterCropTransform, RandomCropTransform
from batchgenerators.transforms.spatial_transforms import ResizeTransform, SpatialTransform
from batchgenerators.transforms.utility_t... | datasets/two_dim/data_augmentation.py | import numpy as np
from batchgenerators.transforms import Compose, MirrorTransform
from batchgenerators.transforms.crop_and_pad_transforms import CenterCropTransform, RandomCropTransform
from batchgenerators.transforms.spatial_transforms import ResizeTransform, SpatialTransform
from batchgenerators.transforms.utility_t... | 0.726426 | 0.682481 |
import collections
import datetime
import traceback
from django.conf import settings
from django.contrib.auth.models import Group
from django.core.management.base import BaseCommand
from django.db.models import Q
from django.utils import timezone
from clubs.models import Club, ClubApplication, Membership, send_mail_h... | backend/clubs/management/commands/daily_notifications.py | import collections
import datetime
import traceback
from django.conf import settings
from django.contrib.auth.models import Group
from django.core.management.base import BaseCommand
from django.db.models import Q
from django.utils import timezone
from clubs.models import Club, ClubApplication, Membership, send_mail_h... | 0.35488 | 0.099426 |
from __future__ import absolute_import, print_function, division
import numpy as np
class database(object):
def __init__(self, params):
self.size = params['db_size']
self.img_scale = params['img_scale']
self.states = np.zeros([self.size, 84, 84], dtype='uint8') # image dimensions
... | fathom/deepq/database.py | from __future__ import absolute_import, print_function, division
import numpy as np
class database(object):
def __init__(self, params):
self.size = params['db_size']
self.img_scale = params['img_scale']
self.states = np.zeros([self.size, 84, 84], dtype='uint8') # image dimensions
... | 0.598312 | 0.179746 |
import numpy as np
def Bresenham_line(ends):
w, h = np.diff(ends, axis=0)[0]
pt1, __ = ends
x, y = pt1
longest = np.absolute(w)
shortest = np.absolute(h)
if w != 0:
dx = int(np.absolute(w)/w)
if h != 0:
dy = int(np.absolute(h)/h)
if not (longest > shortest... | LineDraw.py | import numpy as np
def Bresenham_line(ends):
w, h = np.diff(ends, axis=0)[0]
pt1, __ = ends
x, y = pt1
longest = np.absolute(w)
shortest = np.absolute(h)
if w != 0:
dx = int(np.absolute(w)/w)
if h != 0:
dy = int(np.absolute(h)/h)
if not (longest > shortest... | 0.36659 | 0.490419 |
import time
from typing import Generator
import docker
import pytest
from tempo import Model, Pipeline
from tempo.seldon import SeldonDockerRuntime
from tempo.serve.loader import save
from tempo.serve.metadata import RuntimeOptions
@pytest.fixture
def runtime() -> SeldonDockerRuntime:
return SeldonDockerRuntime... | tests/seldon/docker/conftest.py | import time
from typing import Generator
import docker
import pytest
from tempo import Model, Pipeline
from tempo.seldon import SeldonDockerRuntime
from tempo.serve.loader import save
from tempo.serve.metadata import RuntimeOptions
@pytest.fixture
def runtime() -> SeldonDockerRuntime:
return SeldonDockerRuntime... | 0.390127 | 0.317175 |
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from torch.utils.data import Dataset
from torch.utils.data import random_split
from torchvision.utils import save_image
import torchvision.transforms as transforms
import os
import io
import numpy as np
from zipp imp... | train_anime.py | import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from torch.utils.data import Dataset
from torch.utils.data import random_split
from torchvision.utils import save_image
import torchvision.transforms as transforms
import os
import io
import numpy as np
from zipp imp... | 0.89244 | 0.431464 |
from abc import ABC, abstractmethod
from typing import Union, Tuple
import datetime as dt
class LocalDate(int, ABC):
"""
Represents a date within the calendar, with no reference to a particular
time zone or time of day, and provides conversion to and from:
* Integer year, month, and day of month
... | py/datacentric/date_time/local_date.py |
from abc import ABC, abstractmethod
from typing import Union, Tuple
import datetime as dt
class LocalDate(int, ABC):
"""
Represents a date within the calendar, with no reference to a particular
time zone or time of day, and provides conversion to and from:
* Integer year, month, and day of month
... | 0.945292 | 0.692382 |
import typing
import itertools
import numpy as np
from loguru import logger
from skimage.measure import regionprops
import SimpleITK as sitk
def center_crop_object_mask(mask: np.ndarray, cshape: typing.Union[tuple, int],
) -> typing.List[tuple]:
"""
Creates indices to crop patche... | nndet/io/patching.py | import typing
import itertools
import numpy as np
from loguru import logger
from skimage.measure import regionprops
import SimpleITK as sitk
def center_crop_object_mask(mask: np.ndarray, cshape: typing.Union[tuple, int],
) -> typing.List[tuple]:
"""
Creates indices to crop patche... | 0.856407 | 0.633013 |
import io
import datetime
from typing import TYPE_CHECKING, Optional, Union, Type, List, Dict, Awaitable
from .base.http import HTTPRequestBase, EmptyObject
from .model import Channel, Message, MessageReference, AllowedMentions, Snowflake, Embed, Attachment, Overwrite, \
Emoji, User, Interaction, InteractionRespons... | dico/api.py | import io
import datetime
from typing import TYPE_CHECKING, Optional, Union, Type, List, Dict, Awaitable
from .base.http import HTTPRequestBase, EmptyObject
from .model import Channel, Message, MessageReference, AllowedMentions, Snowflake, Embed, Attachment, Overwrite, \
Emoji, User, Interaction, InteractionRespons... | 0.843992 | 0.154663 |
from argparse import ArgumentParser
import hashlib
import json
import os
import shutil
def hash(data):
m = hashlib.sha256()
m.update(bytes(data, 'utf-8'))
return m.hexdigest()
if __name__ == '__main__':
parser = ArgumentParser(description='Build image manifest')
parser.add_argument('layers', na... | oci/build-image-manifest.py |
from argparse import ArgumentParser
import hashlib
import json
import os
import shutil
def hash(data):
m = hashlib.sha256()
m.update(bytes(data, 'utf-8'))
return m.hexdigest()
if __name__ == '__main__':
parser = ArgumentParser(description='Build image manifest')
parser.add_argument('layers', na... | 0.567817 | 0.121113 |