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 math
from spydrnet_physical.util import ConnectPointList
from svgwrite.container import Group
DEFAULT_COLOR = " black"
class ConnectionPattern:
'''
This creates a connection patterns (`ConnectPointList`) based on pre-defined rule
'''
def __init__(self, sizex, sizey):
'''
Ini... | spydrnet_physical/util/ConnectionPattern.py | import math
from spydrnet_physical.util import ConnectPointList
from svgwrite.container import Group
DEFAULT_COLOR = " black"
class ConnectionPattern:
'''
This creates a connection patterns (`ConnectPointList`) based on pre-defined rule
'''
def __init__(self, sizex, sizey):
'''
Ini... | 0.758242 | 0.473414 |
from typing import List
import sys
import warnings
import time
import pickle
import numpy as np
import pandas as pd
from tqdm import tqdm
from load_data import read_data
from model import Model
warnings.filterwarnings("ignore")
def arrays_to_str_list(arr: np.array) -> List[str]:
"""
Transform... | code/topcoder_cognitive_state/test.py | from typing import List
import sys
import warnings
import time
import pickle
import numpy as np
import pandas as pd
from tqdm import tqdm
from load_data import read_data
from model import Model
warnings.filterwarnings("ignore")
def arrays_to_str_list(arr: np.array) -> List[str]:
"""
Transform... | 0.515376 | 0.414306 |
from ai_flow.util.json_utils import Jsonable
from typing import Dict, List
from datetime import datetime, timedelta
from pytz import timezone
class PeriodicConfig(Jsonable):
"""
Define the periodic running configuration of the running unit
(ai_flow.workflow.job.Job and ai_flow.workflow.workflow.Workflow).... | ai_flow/workflow/periodic_config.py | from ai_flow.util.json_utils import Jsonable
from typing import Dict, List
from datetime import datetime, timedelta
from pytz import timezone
class PeriodicConfig(Jsonable):
"""
Define the periodic running configuration of the running unit
(ai_flow.workflow.job.Job and ai_flow.workflow.workflow.Workflow).... | 0.775647 | 0.329419 |
from math import radians
from robotling_lib.misc.helpers import timed_function
from robotling_lib.sensors.sensor_base import SensorBase
from robotling_lib.driver.bno055 import BNO055, ADDRESS_BNO055
import robotling_lib.misc.ansi_color as ansi
import robotling_lib.robotling_board as rb
__version__ = "0.1.0.0"
CHIP_NAM... | sensors/compass_bno055.py | from math import radians
from robotling_lib.misc.helpers import timed_function
from robotling_lib.sensors.sensor_base import SensorBase
from robotling_lib.driver.bno055 import BNO055, ADDRESS_BNO055
import robotling_lib.misc.ansi_color as ansi
import robotling_lib.robotling_board as rb
__version__ = "0.1.0.0"
CHIP_NAM... | 0.78469 | 0.28189 |
import sys
import time
import os
import logging
import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import configparser
from model.models import *
from model.models import Word2Score
from utils.data_helper import Dataset
from utils.loader impor... | evaluation/evaluation_all_word.py | import sys
import time
import os
import logging
import tqdm
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import configparser
from model.models import *
from model.models import Word2Score
from utils.data_helper import Dataset
from utils.loader impor... | 0.492432 | 0.280693 |
from os.path import (
basename as _basename,
dirname as _dirname,
realpath as _realpath,
join as _join,
)
DEPLOYMENT_DIR = _realpath(_dirname(__file__))
PROJECT_DIR = _dirname(DEPLOYMENT_DIR)
def setvariable(name, value, is_output=True):
"""
Set a Azure pipeline variable.
Args:
n... | deployment/azure_pipeline_utils.py | from os.path import (
basename as _basename,
dirname as _dirname,
realpath as _realpath,
join as _join,
)
DEPLOYMENT_DIR = _realpath(_dirname(__file__))
PROJECT_DIR = _dirname(DEPLOYMENT_DIR)
def setvariable(name, value, is_output=True):
"""
Set a Azure pipeline variable.
Args:
n... | 0.564699 | 0.181934 |
import warnings
warnings.filterwarnings('ignore', category=FutureWarning)
from flask import abort, render_template, Flask
import logging
import db
APP = Flask(__name__)
# Start page
@APP.route('/')
def index():
stats = {}
x = db.execute('SELECT COUNT(*) AS movies FROM MOVIE').fetchone()
stats.update(x)
... | app.py | import warnings
warnings.filterwarnings('ignore', category=FutureWarning)
from flask import abort, render_template, Flask
import logging
import db
APP = Flask(__name__)
# Start page
@APP.route('/')
def index():
stats = {}
x = db.execute('SELECT COUNT(*) AS movies FROM MOVIE').fetchone()
stats.update(x)
... | 0.308294 | 0.054651 |
import csv
import logging
import os
from collections import defaultdict
from typing import (
Iterator,
Dict,
List,
Tuple,
TextIO,
Any,
DefaultDict,
Optional,
)
import rdflib
from smart_open import open
from forte.common import Resources
from forte.common.configuration import Config
fro... | forte/datasets/wikipedia/dbpedia/dbpedia_datasets.py | import csv
import logging
import os
from collections import defaultdict
from typing import (
Iterator,
Dict,
List,
Tuple,
TextIO,
Any,
DefaultDict,
Optional,
)
import rdflib
from smart_open import open
from forte.common import Resources
from forte.common.configuration import Config
fro... | 0.644561 | 0.087525 |
import os
from collections import deque
import numpy as np
import pandas as pd
__all__ = ['TFSummary', 'find_tf_summary_dirs', 'read_tf_summary_dir']
class TFSummary(object):
"""Data parsed from TensorFlow summary files.
Parameters
----------
training_loss : pd.Series
Training loss series, ... | madoka/utils/tfsummary.py | import os
from collections import deque
import numpy as np
import pandas as pd
__all__ = ['TFSummary', 'find_tf_summary_dirs', 'read_tf_summary_dir']
class TFSummary(object):
"""Data parsed from TensorFlow summary files.
Parameters
----------
training_loss : pd.Series
Training loss series, ... | 0.889102 | 0.458227 |
import os
import sys
import logging
import tensorflow as tf
from invoke import run, exceptions
log = logging.getLogger('biomedbert')
log.setLevel(logging.INFO)
def fine_tune_ner(ner_dataset: str, model_dir: str, model_type: str, bucket_name: str,
tpu_name: str, tpu_zone: str, gcp_project: str, tpu... | biomedbert_impl/ner_modules.py |
import os
import sys
import logging
import tensorflow as tf
from invoke import run, exceptions
log = logging.getLogger('biomedbert')
log.setLevel(logging.INFO)
def fine_tune_ner(ner_dataset: str, model_dir: str, model_type: str, bucket_name: str,
tpu_name: str, tpu_zone: str, gcp_project: str, tpu... | 0.201735 | 0.096153 |
import multiprocessing
import logging
import numpy as np
from eqsn.qubit_thread import SINGLE_GATE, MERGE_SEND, MERGE_ACCEPT, MEASURE, \
MEASURE_NON_DESTRUCTIVE, GIVE_STATEVECTOR, DOUBLE_GATE, \
CONTROLLED_GATE, NEW_QUBIT, ADD_MERGED_QUBITS_TO_DICT, CONTROLLED_TWO_GATE
from eqsn.shared_dict import SharedDict
fr... | eqsn/gates.py | import multiprocessing
import logging
import numpy as np
from eqsn.qubit_thread import SINGLE_GATE, MERGE_SEND, MERGE_ACCEPT, MEASURE, \
MEASURE_NON_DESTRUCTIVE, GIVE_STATEVECTOR, DOUBLE_GATE, \
CONTROLLED_GATE, NEW_QUBIT, ADD_MERGED_QUBITS_TO_DICT, CONTROLLED_TWO_GATE
from eqsn.shared_dict import SharedDict
fr... | 0.778565 | 0.232495 |
from google.protobuf.message import Message
from cryptography.hazmat.primitives.asymmetric import ec
import cryptography.hazmat.backends
from Crypto.Hash import CMAC
from Crypto.Cipher import AES
import os
import binascii
def wrapper_contains_type(wrapper: Message, message_type):
if wrapper is None:
retur... | common/protobuf_test_python/tsp_utils.py | from google.protobuf.message import Message
from cryptography.hazmat.primitives.asymmetric import ec
import cryptography.hazmat.backends
from Crypto.Hash import CMAC
from Crypto.Cipher import AES
import os
import binascii
def wrapper_contains_type(wrapper: Message, message_type):
if wrapper is None:
retur... | 0.54698 | 0.124639 |
import threading
import contextlib
import uuid
from functools import partial
from tornado.stack_context import run_with_stack_context, StackContext
from tornado.concurrent import wrap as tornado_wrap
from barbante.utils.logging import get_logger
log = get_logger(__name__)
class RequestContext:
""" An object re... | barbante/context/context_manager.py | import threading
import contextlib
import uuid
from functools import partial
from tornado.stack_context import run_with_stack_context, StackContext
from tornado.concurrent import wrap as tornado_wrap
from barbante.utils.logging import get_logger
log = get_logger(__name__)
class RequestContext:
""" An object re... | 0.692018 | 0.189577 |
import simpy, scipy, numpy, random
from src.core.linear_congruential_generator import LinearCongruentialGenerator
RANDOM_SEED = 42
NUM_COMPONENTES_INDEPENDENTES = 2
QUANTIDADE_TESTES = 5
TEMPO_SIMULACAO = 7 * 24
def tef_uniform():
"""return a random value from uniform distribuition"""
return scipy.random.un... | src/core/problema4.py |
import simpy, scipy, numpy, random
from src.core.linear_congruential_generator import LinearCongruentialGenerator
RANDOM_SEED = 42
NUM_COMPONENTES_INDEPENDENTES = 2
QUANTIDADE_TESTES = 5
TEMPO_SIMULACAO = 7 * 24
def tef_uniform():
"""return a random value from uniform distribuition"""
return scipy.random.un... | 0.696268 | 0.374162 |
import numpy as np
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import data_loader
import data_analysis
from data_analysis import Regressor
def create_geodict():
map_dict = dict(
type="scatter... | src/app.py | import numpy as np
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import data_loader
import data_analysis
from data_analysis import Regressor
def create_geodict():
map_dict = dict(
type="scatter... | 0.571049 | 0.252986 |
import unittest
from unittest import mock
from pacsign.common_util import (print_new_line,
print_info,
print_warning,
print_error,
print_prompt,
exception_... | python/pacsign/tests/test_common_util.py | import unittest
from unittest import mock
from pacsign.common_util import (print_new_line,
print_info,
print_warning,
print_error,
print_prompt,
exception_... | 0.388502 | 0.176175 |
import sys, os, requests, datetime, re, logging, logging.handlers
import paho.mqtt.publish as publish
import paho.mqtt.client as mqtt
import pytz
import configparser
from time import sleep
# Debug mode.
DEBUG = 0
class PowerstationMqtt():
def init(self):
self.powerstation_hostname = os.environ.get('power... | app/main.py | import sys, os, requests, datetime, re, logging, logging.handlers
import paho.mqtt.publish as publish
import paho.mqtt.client as mqtt
import pytz
import configparser
from time import sleep
# Debug mode.
DEBUG = 0
class PowerstationMqtt():
def init(self):
self.powerstation_hostname = os.environ.get('power... | 0.064234 | 0.045671 |
import enum
import io
import ipaddress
import re
import struct
import socket as sk
from typing import Optional, Tuple
class UTP:
"""
uTorrent Transport Protocol
BEP29: https://www.bittorrent.org/beps/bep_0029.html
"""
def __init__(self) -> None:
pass
PROTOCOL_NAME_v10 = b'BitTorrent pr... | btorrent/transport/peer.py | import enum
import io
import ipaddress
import re
import struct
import socket as sk
from typing import Optional, Tuple
class UTP:
"""
uTorrent Transport Protocol
BEP29: https://www.bittorrent.org/beps/bep_0029.html
"""
def __init__(self) -> None:
pass
PROTOCOL_NAME_v10 = b'BitTorrent pr... | 0.70791 | 0.143158 |
import json
import os
from datetime import timedelta
from gettext import gettext, ngettext
from logging.config import dictConfig
from pathlib import Path
import arrow
import click
from flask import Flask
from werkzeug.middleware.shared_data import SharedDataMiddleware
from lemonade_soapbox import csrf, db, login_mana... | lemonade_soapbox/create_app.py | import json
import os
from datetime import timedelta
from gettext import gettext, ngettext
from logging.config import dictConfig
from pathlib import Path
import arrow
import click
from flask import Flask
from werkzeug.middleware.shared_data import SharedDataMiddleware
from lemonade_soapbox import csrf, db, login_mana... | 0.497315 | 0.043063 |
import logging
from django.conf import settings
from api.ingest.source import Source
from api.rdf.namespace import RDFLIB_FORMAT_DIC, find_valueset
from api.rdf.association_model import *
from api.rdf.rdf_source import RDFSource
import api.lookup.lookup_elasticsearch as lookup_es
import pandas as pd
logger = log... | api/transformers/hpo_disease_pheno_ds.py | import logging
from django.conf import settings
from api.ingest.source import Source
from api.rdf.namespace import RDFLIB_FORMAT_DIC, find_valueset
from api.rdf.association_model import *
from api.rdf.rdf_source import RDFSource
import api.lookup.lookup_elasticsearch as lookup_es
import pandas as pd
logger = log... | 0.369543 | 0.183265 |
from modules import\
constants as c,\
data_controller as dc,\
data_format as df,\
data_handler as dh,\
modal_window as mw,\
swapi
# API key names.
class _Key:
HEADER = 'api_wars'
INJECTION_CODE = 'injection code'
MODAL_WINDOW = 'modal window'
REQUEST = 'request'
SUBJECT = ... | modules/api.py |
from modules import\
constants as c,\
data_controller as dc,\
data_format as df,\
data_handler as dh,\
modal_window as mw,\
swapi
# API key names.
class _Key:
HEADER = 'api_wars'
INJECTION_CODE = 'injection code'
MODAL_WINDOW = 'modal window'
REQUEST = 'request'
SUBJECT = ... | 0.62498 | 0.188473 |
# This library supports functionality needed for global transcription.
# The global transcription method works by considering transcribed words that
# co-occur from different sources, near in time (less than 0.1 seconds)
# within a conversation, and only keeps the one with the max confidence score,
# thus identifiying... | egocom/transcription.py |
# This library supports functionality needed for global transcription.
# The global transcription method works by considering transcribed words that
# co-occur from different sources, near in time (less than 0.1 seconds)
# within a conversation, and only keeps the one with the max confidence score,
# thus identifiying... | 0.687735 | 0.376996 |
from abc import ABC, abstractmethod
from copy import deepcopy, copy
from typing import Tuple, Optional, Callable, Sequence
import numpy as np
from scipy.interpolate import interpn
from scipy.stats import multivariate_normal, beta
from pararealml.core.constrained_problem import ConstrainedProblem
from pararealml.core.... | pararealml/core/initial_condition.py | from abc import ABC, abstractmethod
from copy import deepcopy, copy
from typing import Tuple, Optional, Callable, Sequence
import numpy as np
from scipy.interpolate import interpn
from scipy.stats import multivariate_normal, beta
from pararealml.core.constrained_problem import ConstrainedProblem
from pararealml.core.... | 0.964018 | 0.745699 |
from contextlib import contextmanager
from dataclasses import dataclass, field
from typing import List
from .sqla.models import User, APIKey
@dataclass
class SQLAlchemyLoginManagerOptions:
basepath: str = "/"
apipath: str = "/api/v1/"
wspath: str = "ws:0.0.0.0:8080/api/v1/ws/"
login_path: str = "/api/... | tornado_sqlalchemy_login/application.py | from contextlib import contextmanager
from dataclasses import dataclass, field
from typing import List
from .sqla.models import User, APIKey
@dataclass
class SQLAlchemyLoginManagerOptions:
basepath: str = "/"
apipath: str = "/api/v1/"
wspath: str = "ws:0.0.0.0:8080/api/v1/ws/"
login_path: str = "/api/... | 0.596668 | 0.062588 |
ted_iso2tag = {
'arb': 'ar',
'azj': 'az', #aze
'aze': 'az', #aze
'bel': 'be',
'bul': 'bg',
'ben': 'bn',
'bos': 'bs',
'ces': 'cs',
'dan': 'da',
'deu': 'de',
'ell': 'el',
'epo': 'eo',
'spa': 'es',
'est': 'et',
'eus': 'eu',
'pes': 'fa', #fas
'fin': 'fi',
... | src/tedlangs.py | ted_iso2tag = {
'arb': 'ar',
'azj': 'az', #aze
'aze': 'az', #aze
'bel': 'be',
'bul': 'bg',
'ben': 'bn',
'bos': 'bs',
'ces': 'cs',
'dan': 'da',
'deu': 'de',
'ell': 'el',
'epo': 'eo',
'spa': 'es',
'est': 'et',
'eus': 'eu',
'pes': 'fa', #fas
'fin': 'fi',
... | 0.216632 | 0.291214 |
from __future__ import print_function
'''
===============================================================================
Contains tools to make the sub-models for the Husky application
===============================================================================
'''
import keras.backend as K
import keras.losses as... | costar_models/python/costar_models/husky.py | from __future__ import print_function
'''
===============================================================================
Contains tools to make the sub-models for the Husky application
===============================================================================
'''
import keras.backend as K
import keras.losses as... | 0.800263 | 0.430746 |
import numpy as np
import pandas as pd
def edgelist_from_synapse_df(syn_df,
pre_column='pre_pt_root_id',
post_column='post_pt_root_id',
weight_column='size',
agg='count'):
"""Compute a list of pre t... | analysisdatalink/connectivity.py | import numpy as np
import pandas as pd
def edgelist_from_synapse_df(syn_df,
pre_column='pre_pt_root_id',
post_column='post_pt_root_id',
weight_column='size',
agg='count'):
"""Compute a list of pre t... | 0.871966 | 0.572245 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = '''
module: github_org_teams
short_description: Manage GitHub Organization Teams
extends_documentation_fragment: opentelekomcloud.gitcontrol.github
version_added: "0.0.2"
author: "<NAME> (@gtema)"
description:
-... | plugins/modules/github_org_teams.py |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = '''
module: github_org_teams
short_description: Manage GitHub Organization Teams
extends_documentation_fragment: opentelekomcloud.gitcontrol.github
version_added: "0.0.2"
author: "<NAME> (@gtema)"
description:
-... | 0.69181 | 0.188567 |
from collections import defaultdict
from threading import RLock
from typing import Any, Callable, Dict, Generator, Hashable, List, Optional, Tuple, TypeVar
import numpy as np
from pyquaternion import Quaternion
from paralleldomain.decoding.common import create_cache_key
from paralleldomain.model.class_mapping import ... | paralleldomain/decoding/nuimages/common.py | from collections import defaultdict
from threading import RLock
from typing import Any, Callable, Dict, Generator, Hashable, List, Optional, Tuple, TypeVar
import numpy as np
from pyquaternion import Quaternion
from paralleldomain.decoding.common import create_cache_key
from paralleldomain.model.class_mapping import ... | 0.909397 | 0.210726 |
import os
from selenium.webdriver.common.keys import Keys
from pytest_dash.utils import (
wait_for_text_to_equal,
wait_for_element_by_css_selector,
)
import dash
from dash.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
from dash_bio import Volcano... | tests/test_volcano_plot.py | import os
from selenium.webdriver.common.keys import Keys
from pytest_dash.utils import (
wait_for_text_to_equal,
wait_for_element_by_css_selector,
)
import dash
from dash.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
from dash_bio import Volcano... | 0.701509 | 0.283149 |
import math
import numpy as np
np.set_printoptions(precision=4)
D_TO_R = math.pi / 180.
TWOPI = 2.0 * math.pi
# point we want to move to
phiDegrees = 27. # final orientation relative to current robot orientation
x = 3 # center of new location, in rear_wheels coordinates
y = -2
rho = .5
phi = phiDegrees * D_TO_R
# ... | src/bdbd/src/bdbd/test/circles.py |
import math
import numpy as np
np.set_printoptions(precision=4)
D_TO_R = math.pi / 180.
TWOPI = 2.0 * math.pi
# point we want to move to
phiDegrees = 27. # final orientation relative to current robot orientation
x = 3 # center of new location, in rear_wheels coordinates
y = -2
rho = .5
phi = phiDegrees * D_TO_R
# ... | 0.387574 | 0.534248 |
import pandas
import pathlib
import time
import sys
from InputSimulation import InputSimulation
from Colorful import Colorful
def changeToStringList(array):
return list(map(str, array))
sys.path.append("/home/aholaj/OneDrive/000_WORK/000_Codex/LES-scripting/emulatorScripts/")
import ECLAIR_calcs
def prepareEMULDa... | plottingScripts/00_prepareEMUL.py | import pandas
import pathlib
import time
import sys
from InputSimulation import InputSimulation
from Colorful import Colorful
def changeToStringList(array):
return list(map(str, array))
sys.path.append("/home/aholaj/OneDrive/000_WORK/000_Codex/LES-scripting/emulatorScripts/")
import ECLAIR_calcs
def prepareEMULDa... | 0.114802 | 0.290893 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from . import _utilities, _tables
__all__ = [
'GetSubnetResult',
'AwaitableGetSubnetResult',
'get_subnet',
]
@pulumi.output_type
class GetSubnetResult:
"""
A collection of values returne... | sdk/python/pulumi_phpipam/get_subnet.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from . import _utilities, _tables
__all__ = [
'GetSubnetResult',
'AwaitableGetSubnetResult',
'get_subnet',
]
@pulumi.output_type
class GetSubnetResult:
"""
A collection of values returne... | 0.718989 | 0.064949 |
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
import plotly.graph_objects as go
from app import app
"""
https://dash-bootstrap-components.opensource.faculty.ai/l/compone... | pages/index.py | import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
import plotly.graph_objects as go
from app import app
"""
https://dash-bootstrap-components.opensource.faculty.ai/l/compone... | 0.655997 | 0.402686 |
import numpy as np
from agents.common import PLAYER1, PLAYER2, NO_PLAYER, initialize_game_state, is_valid_action
def test_valid_action_allValid():
game = initialize_game_state()
for i in {0, 1, 2, 3, 4, 5, 6}:
assert is_valid_action(game, i) == True
def test_valid_action_oneValid_Column6():
ga... | tests/test_agents_common_is_valid_action.py | import numpy as np
from agents.common import PLAYER1, PLAYER2, NO_PLAYER, initialize_game_state, is_valid_action
def test_valid_action_allValid():
game = initialize_game_state()
for i in {0, 1, 2, 3, 4, 5, 6}:
assert is_valid_action(game, i) == True
def test_valid_action_oneValid_Column6():
ga... | 0.449634 | 0.53206 |
from __future__ import unicode_literals
from django.conf.urls import patterns, include, url
from django.conf.urls.i18n import i18n_patterns
from django.contrib import admin
from mezzanine.conf import settings
import mezzanine_pagedown.urls
from tastypie.api import Api
from amp import views as amp_views
from blogapi.... | MK_dream/urls.py | from __future__ import unicode_literals
from django.conf.urls import patterns, include, url
from django.conf.urls.i18n import i18n_patterns
from django.contrib import admin
from mezzanine.conf import settings
import mezzanine_pagedown.urls
from tastypie.api import Api
from amp import views as amp_views
from blogapi.... | 0.278551 | 0.057573 |
import xml.etree.ElementTree as ET
from argparse import ArgumentParser
import sys
import re
notebook = dict(zip(['+', '-', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'],
['#', 'b', 'A2', 'B2', 'C3', 'D3', 'E3', 'F3', 'G3', 'A3', 'B3', 'C4', 'D4', 'E4', 'F4', ... | mariopaintconverter/mariopaintconverter.py | import xml.etree.ElementTree as ET
from argparse import ArgumentParser
import sys
import re
notebook = dict(zip(['+', '-', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'],
['#', 'b', 'A2', 'B2', 'C3', 'D3', 'E3', 'F3', 'G3', 'A3', 'B3', 'C4', 'D4', 'E4', 'F4', ... | 0.228329 | 0.325052 |
import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import robin_stocks_modified as robin_stocks
from Utils.datetime_funcs import *
from Utils import login
"""Wrappers for bare robin_stocks functions"""
def get_stock_historicals(symbol, interval="5minute", span="week"):
"""R... | stocks/stocks.py | import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import robin_stocks_modified as robin_stocks
from Utils.datetime_funcs import *
from Utils import login
"""Wrappers for bare robin_stocks functions"""
def get_stock_historicals(symbol, interval="5minute", span="week"):
"""R... | 0.486332 | 0.4133 |
import bbio, math
class HTU21D(object):
I2C_ADDRESS = 0x40
CMD_TEMP = 0xf3
CMD_RH = 0xf5
CMD_USER_REG_READ = 0xe7
CMD_RESET = 0xfe
USER_REGISTER_DEFAULT = 0x02 # Reset value of the user register
CRC_DIVISOR = 0b100110001
def __init__(self, i2c):
self.... | bbio/libraries/HTU21D/HTU21D.py | import bbio, math
class HTU21D(object):
I2C_ADDRESS = 0x40
CMD_TEMP = 0xf3
CMD_RH = 0xf5
CMD_USER_REG_READ = 0xe7
CMD_RESET = 0xfe
USER_REGISTER_DEFAULT = 0x02 # Reset value of the user register
CRC_DIVISOR = 0b100110001
def __init__(self, i2c):
self.... | 0.439266 | 0.388792 |
from etl.vt import CCARSJobsPostings
import os
import json
import shutil
import unittest
from unittest.mock import patch
class TestETL(unittest.TestCase):
""" Unit test for ETL class"""
def setUp(self,
test_dir="test",
v3_api_filename="v3_ccars.json",
num_test_items=3)... | test/test_etl.py | from etl.vt import CCARSJobsPostings
import os
import json
import shutil
import unittest
from unittest.mock import patch
class TestETL(unittest.TestCase):
""" Unit test for ETL class"""
def setUp(self,
test_dir="test",
v3_api_filename="v3_ccars.json",
num_test_items=3)... | 0.452536 | 0.322259 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score
df = pd.read_csv('housing.data.txt', header=None, sep='\s+')
df.columns = ['CRIM', 'ZN', 'INDUS', 'CHAS',
... | Chapter 10/Turning a linear regression model into a curve - polynomial regression/program2.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score
df = pd.read_csv('housing.data.txt', header=None, sep='\s+')
df.columns = ['CRIM', 'ZN', 'INDUS', 'CHAS',
... | 0.831074 | 0.667039 |
# Simple test uses just the timepoint of weibo
from collections import defaultdict
import matplotlib.pyplot as plt
import pandas as pd
import networkx as nx
import pickle
from repost_record import RepostRecord
FILE_PATH = '/home/hp/Documents/DeepLearning/DataCastle/Weibo/Data/testRepostBeforeFirstHour.txt'
FILE_PAT... | data_importer.py |
# Simple test uses just the timepoint of weibo
from collections import defaultdict
import matplotlib.pyplot as plt
import pandas as pd
import networkx as nx
import pickle
from repost_record import RepostRecord
FILE_PATH = '/home/hp/Documents/DeepLearning/DataCastle/Weibo/Data/testRepostBeforeFirstHour.txt'
FILE_PAT... | 0.344003 | 0.356251 |
import datetime
from unittest.mock import patch
from financial_data.blueprint.scraperfy_api import URL_PREFIX
from financial_data.tests.fixtures import app, client
from flask.testing import FlaskClient
from . import BASE_ROUTE
from .interface import ValuationIndicatorsInterface
from .model import ValuationIndicators
... | financial_data/blueprint/scraperfy_api/asset_scraper/company_indicators/valuation_indicators/controller_test.py | import datetime
from unittest.mock import patch
from financial_data.blueprint.scraperfy_api import URL_PREFIX
from financial_data.tests.fixtures import app, client
from flask.testing import FlaskClient
from . import BASE_ROUTE
from .interface import ValuationIndicatorsInterface
from .model import ValuationIndicators
... | 0.566258 | 0.38975 |
import os
import yaml
import xlrd
from tools import extractor
class ReadFile:
config_dict = None
case_file_list = []
@classmethod
def get_config_dict(cls, config_path: str = 'config/config.yaml') -> dict:
"""读取配置文件，并且转换成字典
:param config_path: 配置文件地址， 默认使用当前项目目录下的config/config.yaml
... | tools/read_file.py | import os
import yaml
import xlrd
from tools import extractor
class ReadFile:
config_dict = None
case_file_list = []
@classmethod
def get_config_dict(cls, config_path: str = 'config/config.yaml') -> dict:
"""读取配置文件，并且转换成字典
:param config_path: 配置文件地址， 默认使用当前项目目录下的config/config.yaml
... | 0.222616 | 0.094636 |
import logging
import traceback
from typing import cast, Optional, Set, Tuple, Type
import cachetools
import requests
from .type import ErrorMessage, Measurement, Response, Units, URL, Value
class Collector:
"""Base class for metric collectors."""
TIMEOUT = 10 # Default timeout of 10 seconds
RESPONSE... | components/collector/collector/collector.py |
import logging
import traceback
from typing import cast, Optional, Set, Tuple, Type
import cachetools
import requests
from .type import ErrorMessage, Measurement, Response, Units, URL, Value
class Collector:
"""Base class for metric collectors."""
TIMEOUT = 10 # Default timeout of 10 seconds
RESPONSE... | 0.942678 | 0.163813 |
import numpy as np
from matplotlib import pyplot as plt
from numpy import ndarray
from scipy.linalg import svd
def explained_var(Σ: ndarray) -> ndarray:
ΣΣ: ndarray = Σ * Σ
return ΣΣ / ΣΣ.sum()
def plot_explained_variance(ρ: ndarray, threshold = 0.9, save_to_file: str = ""):
plot_range = range(1, len(ρ) + 1)
f = ... | PCA.py | import numpy as np
from matplotlib import pyplot as plt
from numpy import ndarray
from scipy.linalg import svd
def explained_var(Σ: ndarray) -> ndarray:
ΣΣ: ndarray = Σ * Σ
return ΣΣ / ΣΣ.sum()
def plot_explained_variance(ρ: ndarray, threshold = 0.9, save_to_file: str = ""):
plot_range = range(1, len(ρ) + 1)
f = ... | 0.442877 | 0.720577 |
class NBA_Player():
"""Instances of NBA_Player represent an NBA Player
wingspan: int
name: str"""
def __init__(self, wingspan: int, name: str) -> None:
"""Initiate NBA_Player
wingspan = passed-in int
name = passed-in str
returns None"""
self.wingspan = w... | src/script.py | class NBA_Player():
"""Instances of NBA_Player represent an NBA Player
wingspan: int
name: str"""
def __init__(self, wingspan: int, name: str) -> None:
"""Initiate NBA_Player
wingspan = passed-in int
name = passed-in str
returns None"""
self.wingspan = w... | 0.778818 | 0.296629 |
import argparse
class Options:
def __init__(self):
# Parse options for processing
parser = argparse.ArgumentParser(description='CuMix for ZSDG.')
parser.add_argument('-root_l', '--root_path', default='/mnt/c61a35bf-fc59-4aab-a996-b254f9ab9052/arfeen', type=str)
parser.add... | src/options/options_cumix.py | import argparse
class Options:
def __init__(self):
# Parse options for processing
parser = argparse.ArgumentParser(description='CuMix for ZSDG.')
parser.add_argument('-root_l', '--root_path', default='/mnt/c61a35bf-fc59-4aab-a996-b254f9ab9052/arfeen', type=str)
parser.add... | 0.615666 | 0.089654 |
from __future__ import division
import matplotlib.pyplot as plt
import numpy as np
import netCDF4 as nc
import os
import glob
import fnmatch
from collections import namedtuple, OrderedDict
import scipy.io as sio
from scipy import interpolate, signal
from pyproj import Proj,transform
import sys
sys.path.append('/ocean/s... | along_iso_2013_velocities.py | from __future__ import division
import matplotlib.pyplot as plt
import numpy as np
import netCDF4 as nc
import os
import glob
import fnmatch
from collections import namedtuple, OrderedDict
import scipy.io as sio
from scipy import interpolate, signal
from pyproj import Proj,transform
import sys
sys.path.append('/ocean/s... | 0.224055 | 0.312331 |
def first(it):
for i in it:
return i
return None
class AggregateMethod(object):
'''convenience parent class for various aggregation methods which operate on a single key
provides a default implementation of __call__ which checks if the field is in the parentKey or not and
dispatches to aggregateParentKey or agg... | hierarchy_aggregate.py | def first(it):
for i in it:
return i
return None
class AggregateMethod(object):
'''convenience parent class for various aggregation methods which operate on a single key
provides a default implementation of __call__ which checks if the field is in the parentKey or not and
dispatches to aggregateParentKey or agg... | 0.622345 | 0.591546 |
import git_api
from flask import Flask, render_template, request, session, url_for, redirect, send_from_directory
import json
import os
import shutil
from flask_session import Session
from dotenv import load_dotenv
load_dotenv()
app = Flask(__name__,
static_url_path='',
static_folder='static',... | main.py | import git_api
from flask import Flask, render_template, request, session, url_for, redirect, send_from_directory
import json
import os
import shutil
from flask_session import Session
from dotenv import load_dotenv
load_dotenv()
app = Flask(__name__,
static_url_path='',
static_folder='static',... | 0.242116 | 0.054828 |
import json
from flask import Flask, request, redirect, g, render_template, session
import requests
import base64
import urllib
import spotipy
import datetime
from random import randint
# Authentication Steps, paramaters, and responses are defined at https://developer.spotify.com/web-api/authorization-guide/
# Visit t... | main.py | import json
from flask import Flask, request, redirect, g, render_template, session
import requests
import base64
import urllib
import spotipy
import datetime
from random import randint
# Authentication Steps, paramaters, and responses are defined at https://developer.spotify.com/web-api/authorization-guide/
# Visit t... | 0.42919 | 0.115486 |
import numpy as np
from oap.__conf__ import MARKER, SLICE_SIZE
def print_array(array, frame=False, scales=True, slice_size=SLICE_SIZE):
"""
Prints an optical-array as string, list or numpy-array (1d or 2d | dtype=int) to the console output.
:param array: optical-array (particle image)
:type arr... | oap/utils/console.py | import numpy as np
from oap.__conf__ import MARKER, SLICE_SIZE
def print_array(array, frame=False, scales=True, slice_size=SLICE_SIZE):
"""
Prints an optical-array as string, list or numpy-array (1d or 2d | dtype=int) to the console output.
:param array: optical-array (particle image)
:type arr... | 0.640523 | 0.587115 |
from __future__ import print_function
from builtins import str # pylint: disable=redefined-builtin
import datetime
import pytz
from django.conf import settings
from django.core import management
from django.core.management.base import BaseCommand
from ...decorators import handle_lock
class Command(BaseCommand):
... | management/commands/incremental_backup_batch.py |
from __future__ import print_function
from builtins import str # pylint: disable=redefined-builtin
import datetime
import pytz
from django.conf import settings
from django.core import management
from django.core.management.base import BaseCommand
from ...decorators import handle_lock
class Command(BaseCommand):
... | 0.455441 | 0.089773 |
import unittest
from pathlib import Path
from typing import List
import numpy as np
from PIL import Image, ImageFont
from resources.fonts import DemoFontPaths
from test.utils import demo_training_parameters, demo_picture_parameters
from text_depixelizer.HMM.depix_hmm import DepixHMM
from text_depixelizer.parameters i... | test/HMM/test_depix_hmm.py | import unittest
from pathlib import Path
from typing import List
import numpy as np
from PIL import Image, ImageFont
from resources.fonts import DemoFontPaths
from test.utils import demo_training_parameters, demo_picture_parameters
from text_depixelizer.HMM.depix_hmm import DepixHMM
from text_depixelizer.parameters i... | 0.826257 | 0.493775 |
""" Module to handle ssh credentials (userid, host, private_keys) """
__author__ = "gelpi"
__date__ = "$08-March-2019 17:32:38$"
import sys
import argparse
import os
from paramiko import SSHClient, AutoAddPolicy, AuthenticationException
from biobb_remote.ssh_credentials import SSHCredentials
ARGPARSE = argparse.Argu... | scripts/credentials.py | """ Module to handle ssh credentials (userid, host, private_keys) """
__author__ = "gelpi"
__date__ = "$08-March-2019 17:32:38$"
import sys
import argparse
import os
from paramiko import SSHClient, AutoAddPolicy, AuthenticationException
from biobb_remote.ssh_credentials import SSHCredentials
ARGPARSE = argparse.Argu... | 0.272315 | 0.078501 |
import sys
from collections import OrderedDict
from ydk.types import Entity as _Entity_
from ydk.types import EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Em... | openconfig/ydk/models/openconfig/openconfig_bfd.py | import sys
from collections import OrderedDict
from ydk.types import Entity as _Entity_
from ydk.types import EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Em... | 0.349089 | 0.323166 |
import random
import pygame
import time
from pygame import Surface
class Dice(Surface):
def __init__(self, x, y, width, roll_options):
Surface.__init__(self, (width, width))
self.x = x
self.y = y
self.width = width
self.height = width
self.roll_options = roll_option... | dice.py | import random
import pygame
import time
from pygame import Surface
class Dice(Surface):
def __init__(self, x, y, width, roll_options):
Surface.__init__(self, (width, width))
self.x = x
self.y = y
self.width = width
self.height = width
self.roll_options = roll_option... | 0.47658 | 0.316079 |
import logging
import functools
from flask import request, abort
from flask import _request_ctx_stack as stack
from werkzeug import cached_property
import datetime
import json
from ..utility import create_response, decode_base64, json_serial
log = logging.getLogger('flask_oauth2-devices')
class OAuth2DevicesProvider... | devices/provider/devices.py | import logging
import functools
from flask import request, abort
from flask import _request_ctx_stack as stack
from werkzeug import cached_property
import datetime
import json
from ..utility import create_response, decode_base64, json_serial
log = logging.getLogger('flask_oauth2-devices')
class OAuth2DevicesProvider... | 0.711531 | 0.087252 |
import os
import sys
import time
sys.path.append(os.getcwd()+'/CPDP')
sys.path.append(os.getcwd()+'/JinEnv')
sys.path.append(os.getcwd()+'/lib')
import CPDP
import JinEnv
from casadi import *
from scipy.integrate import solve_ivp
import scipy.io as sio
# ---------------------------------------load environment--------... | Examples/pendulum_groundtruth.py | import os
import sys
import time
sys.path.append(os.getcwd()+'/CPDP')
sys.path.append(os.getcwd()+'/JinEnv')
sys.path.append(os.getcwd()+'/lib')
import CPDP
import JinEnv
from casadi import *
from scipy.integrate import solve_ivp
import scipy.io as sio
# ---------------------------------------load environment--------... | 0.402275 | 0.264833 |
from enum import Enum
from storey import Flow
from storey.dtypes import _termination_obj
class EmitPeriod(Enum):
FIRST = 1
LAST = 2
class SampleWindow(Flow):
"""
Emits a single event in a window of `window_size` events, in accordance with `emit_period` and `emit_before_termination`.
:param win... | storey/steps/sample.py | from enum import Enum
from storey import Flow
from storey.dtypes import _termination_obj
class EmitPeriod(Enum):
FIRST = 1
LAST = 2
class SampleWindow(Flow):
"""
Emits a single event in a window of `window_size` events, in accordance with `emit_period` and `emit_before_termination`.
:param win... | 0.919462 | 0.528473 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Aggregated1',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, seri... | django_src/analysis/migrations/0001_initial.py |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Aggregated1',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, seri... | 0.681833 | 0.233029 |
import numpy as np
import os
import random
from agent import Agent
import tensorflow as tf
tf.compat.v1.disable_eager_execution()
from tensorflow.keras.layers import Dense, Input, Activation
from tensorflow.keras import Model
from tensorflow.keras.optimizers import Adam
from tqdm import trange
from utils.logger impor... | agents/DQN.py |
import numpy as np
import os
import random
from agent import Agent
import tensorflow as tf
tf.compat.v1.disable_eager_execution()
from tensorflow.keras.layers import Dense, Input, Activation
from tensorflow.keras import Model
from tensorflow.keras.optimizers import Adam
from tqdm import trange
from utils.logger impor... | 0.801781 | 0.301683 |
import subprocess
from pathlib import Path
from typing import List, Optional, Sequence
import shutil
import os
from flacmirror.options import Options
# We need this so that the child processes do not catch the signals ...
def preexec_function():
os.setpgrp()
def check_requirements(options: Options) -> bool:
... | flacmirror/processes.py | import subprocess
from pathlib import Path
from typing import List, Optional, Sequence
import shutil
import os
from flacmirror.options import Options
# We need this so that the child processes do not catch the signals ...
def preexec_function():
os.setpgrp()
def check_requirements(options: Options) -> bool:
... | 0.738198 | 0.206914 |
from nose.tools import eq_
import mock
from django.conf import settings
from django.contrib.auth.models import User, Group, Permission
from funfactory.urlresolvers import reverse
from airmozilla.main.models import UserProfile, Event, CuratedGroup
from airmozilla.base.tests.test_mozillians import Response, IN_GROUPS
... | airmozilla/manage/tests/views/test_permissions.py | from nose.tools import eq_
import mock
from django.conf import settings
from django.contrib.auth.models import User, Group, Permission
from funfactory.urlresolvers import reverse
from airmozilla.main.models import UserProfile, Event, CuratedGroup
from airmozilla.base.tests.test_mozillians import Response, IN_GROUPS
... | 0.508056 | 0.154823 |
import time
import pprint
import numpy as np
from pytorch_lightning import Callback
class TerminalCallback(Callback):
""" Terminal callback for terminal logging and metric saving. """
def __init__(self, display=None, output_every_epoch=1, id=None):
""" Initialize with keys to listen to and output f... | src/pytorch_lightning/callback.py | import time
import pprint
import numpy as np
from pytorch_lightning import Callback
class TerminalCallback(Callback):
""" Terminal callback for terminal logging and metric saving. """
def __init__(self, display=None, output_every_epoch=1, id=None):
""" Initialize with keys to listen to and output f... | 0.560493 | 0.271113 |
import shutil
from itertools import product
import math
import torch
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from diameter_learning.settings import TEST_OUTPUT_PATH
from diameter_learning.nets.layers import (
CenterOfMass2DExtractor, GaussianRadiusExtractor,
VanillaDiameterE... | test/nets/layers/test_diameter.py | import shutil
from itertools import product
import math
import torch
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from diameter_learning.settings import TEST_OUTPUT_PATH
from diameter_learning.nets.layers import (
CenterOfMass2DExtractor, GaussianRadiusExtractor,
VanillaDiameterE... | 0.871311 | 0.595493 |
import re
import twint
import pandas as pd
import matplotlib.pyplot as plt
from textblob import TextBlob
from collections import Counter
from nltk.corpus import stopwords
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
def make_search(username):
c = twint.Config()
c.Username = username
... | final-project/main.py | import re
import twint
import pandas as pd
import matplotlib.pyplot as plt
from textblob import TextBlob
from collections import Counter
from nltk.corpus import stopwords
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator
def make_search(username):
c = twint.Config()
c.Username = username
... | 0.23118 | 0.138345 |
import grpc
import getgauge.messages.lsp_pb2 as lsp__pb2
import getgauge.messages.messages_pb2 as messages__pb2
class lspServiceStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
se... | getgauge/messages/lsp_pb2_grpc.py | import grpc
import getgauge.messages.lsp_pb2 as lsp__pb2
import getgauge.messages.messages_pb2 as messages__pb2
class lspServiceStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
se... | 0.523177 | 0.046313 |
import pandas as pd
from cascade.core.log import getLoggers
from cascade.dismod.constants import IntegrandEnum
CODELOG, MATHLOG = getLoggers(__name__)
def make_average_integrand_cases_from_gbd(
ages_df, years_df, sexes, child_locations, include_birth_prevalence=False):
"""Determine what time and age ran... | src/cascade/model/integrands.py | import pandas as pd
from cascade.core.log import getLoggers
from cascade.dismod.constants import IntegrandEnum
CODELOG, MATHLOG = getLoggers(__name__)
def make_average_integrand_cases_from_gbd(
ages_df, years_df, sexes, child_locations, include_birth_prevalence=False):
"""Determine what time and age ran... | 0.789437 | 0.448789 |
import sdk_common
import os
# Block in charge of generating the Foundation SDK
class SDKFoundationGeneration(sdk_common.BuildStepUsingGradle):
def __init__(self, logger=None):
super(SDKFoundationGeneration, self).__init__('SDK foundation generation', logger)
self.gradle_directory = self.common_con... | scripts/sdk_generate_foundation.py | import sdk_common
import os
# Block in charge of generating the Foundation SDK
class SDKFoundationGeneration(sdk_common.BuildStepUsingGradle):
def __init__(self, logger=None):
super(SDKFoundationGeneration, self).__init__('SDK foundation generation', logger)
self.gradle_directory = self.common_con... | 0.323594 | 0.062445 |
from sys import version_info
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_inaoqi', [dirname(__file__)])
except ImportError:
import _inaoqi... | pynaoqi-python2.7-2.5.5.5-linux64/lib/python2.7/site-packages/inaoqi.py |
from sys import version_info
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_inaoqi', [dirname(__file__)])
except ImportError:
import _inaoqi... | 0.129485 | 0.098642 |
import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter
from nltk import word_tokenize
from nltk.corpus import stopwords
import re
import pprint
import math
import os
import shutil
def main():
statement_document_analysis()
frequency_counts()
def frequency_counts():
cwd = "../outp... | src/analysis/python/scripts/indirect/statement_text_analysis.py | import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter
from nltk import word_tokenize
from nltk.corpus import stopwords
import re
import pprint
import math
import os
import shutil
def main():
statement_document_analysis()
frequency_counts()
def frequency_counts():
cwd = "../outp... | 0.039453 | 0.179351 |
from collections import defaultdict
from itertools import groupby
import re
#TODO: Figure out a better way to do this
#hack to get scripts to run with django
import os
import sys
sys.path.append("..")
sys.path.append("../api")
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
from courses.models import Course, Semest... | scripts/obsolete/import_courses.py | from collections import defaultdict
from itertools import groupby
import re
#TODO: Figure out a better way to do this
#hack to get scripts to run with django
import os
import sys
sys.path.append("..")
sys.path.append("../api")
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
from courses.models import Course, Semest... | 0.18385 | 0.182444 |
import matplotlib.pyplot as plt
import networkx as nx
import shapely.geometry.point as point
import pycity_base.classes.Weather as Weather
import pycity_calc.buildings.building as build_ex
import pycity_calc.cities.city as cit
import pycity_calc.environments.co2emissions as co2
import pycity_calc.environments.environ... | pycity_calc/test/checks/city_street_min_span_test.py | import matplotlib.pyplot as plt
import networkx as nx
import shapely.geometry.point as point
import pycity_base.classes.Weather as Weather
import pycity_calc.buildings.building as build_ex
import pycity_calc.cities.city as cit
import pycity_calc.environments.co2emissions as co2
import pycity_calc.environments.environ... | 0.444806 | 0.486271 |
import json
import logging
import os
import re
import shutil
import string
import sys
from stat import ST_ATIME, ST_MTIME
def parser_file_exists(parser, arg):
if not os.path.exists(arg):
parser.error("The file <%s> does not exist!" % arg)
return arg
def import_json(json_file):
"""Imports a JSON ... | fqc/utils.py | import json
import logging
import os
import re
import shutil
import string
import sys
from stat import ST_ATIME, ST_MTIME
def parser_file_exists(parser, arg):
if not os.path.exists(arg):
parser.error("The file <%s> does not exist!" % arg)
return arg
def import_json(json_file):
"""Imports a JSON ... | 0.402979 | 0.135546 |
"""Command line interface to add tasks to 2Doapp."""
import argparse
import sys
import subprocess
import twodolib
from . urlhelper import TwoDoTask
usage_description = """\
Program to create tasks in 2Do. The default behavior is to print the generated
URL to stdout. Please use the '-e' or '--execute'' option, if you... | twodolib/cli.py | """Command line interface to add tasks to 2Doapp."""
import argparse
import sys
import subprocess
import twodolib
from . urlhelper import TwoDoTask
usage_description = """\
Program to create tasks in 2Do. The default behavior is to print the generated
URL to stdout. Please use the '-e' or '--execute'' option, if you... | 0.519278 | 0.291595 |
import json
import os
import re
from contextlib import contextmanager
import six
from flask import Flask
from mlcomp import __version__
from mlcomp.persist import Storage
from mlcomp.persist.storage_tree import StorageTree, StorageTreeWatcher
from mlcomp.utils import object_to_dict, is_windows, BackgroundWorker
from ... | mlcomp/board/application.py | import json
import os
import re
from contextlib import contextmanager
import six
from flask import Flask
from mlcomp import __version__
from mlcomp.persist import Storage
from mlcomp.persist.storage_tree import StorageTree, StorageTreeWatcher
from mlcomp.utils import object_to_dict, is_windows, BackgroundWorker
from ... | 0.806624 | 0.080141 |
from logging import getLogger
from re import compile as regex_compile
from shutil import which
from subprocess import CalledProcessError, run as process_run, DEVNULL
from threading import Thread
from typing import Callable, Dict, List
from . import AbstractPlugin, ChatCommandEventData, ChatOutputEventData, Event
from ... | botlet/plugins/git.py | from logging import getLogger
from re import compile as regex_compile
from shutil import which
from subprocess import CalledProcessError, run as process_run, DEVNULL
from threading import Thread
from typing import Callable, Dict, List
from . import AbstractPlugin, ChatCommandEventData, ChatOutputEventData, Event
from ... | 0.525612 | 0.102889 |
import nxppy
import getpass
import display
import mysql
import hashlib
import sys
import tty
import termios
import logging
import thread
import time
import RPi.GPIO as GPIO
#Enable debug logging into log
DEBUG=True
#Enable printing informations to std. output
VERBOSE=True
class Actions:
incomming=1
outc... | souce-code/nfc.py | import nxppy
import getpass
import display
import mysql
import hashlib
import sys
import tty
import termios
import logging
import thread
import time
import RPi.GPIO as GPIO
#Enable debug logging into log
DEBUG=True
#Enable printing informations to std. output
VERBOSE=True
class Actions:
incomming=1
outc... | 0.05512 | 0.075551 |
from rest_framework import status
from rest_framework.response import Response
from lottee_new.helpers import get_object_or_none
from my_user.serializers import UserSerializer, UpdatePasswordSerializer, ResetPasswordSerializer
from my_user.models import User
from rest_framework.generics import CreateAPIView, RetrieveUp... | my_user/views.py | from rest_framework import status
from rest_framework.response import Response
from lottee_new.helpers import get_object_or_none
from my_user.serializers import UserSerializer, UpdatePasswordSerializer, ResetPasswordSerializer
from my_user.models import User
from rest_framework.generics import CreateAPIView, RetrieveUp... | 0.522446 | 0.081082 |
import netCDF4
import numpy as np
def _valid_x(var):
names = ["longitude", "grid_longitude", "projection_x_coordinate"]
units = [
"degrees_east",
"degree_east",
"degree_E",
"degrees_E",
"degreeE",
"degreesE",
]
if getattr(var, "standard_name", None) in ... | gridgeo/ugrid.py | import netCDF4
import numpy as np
def _valid_x(var):
names = ["longitude", "grid_longitude", "projection_x_coordinate"]
units = [
"degrees_east",
"degree_east",
"degree_E",
"degrees_E",
"degreeE",
"degreesE",
]
if getattr(var, "standard_name", None) in ... | 0.594434 | 0.369685 |
from typing import Optional, Tuple
import tensorflow as tf
from typeguard import check_argument_types
from neuralmonkey.encoders.attentive import Attentive
from neuralmonkey.model.model_part import ModelPart, FeedDict
from neuralmonkey.logging import log
from neuralmonkey.nn.noisy_gru_cell import NoisyGRUCell
from ne... | neuralmonkey/encoders/sentence_encoder.py | from typing import Optional, Tuple
import tensorflow as tf
from typeguard import check_argument_types
from neuralmonkey.encoders.attentive import Attentive
from neuralmonkey.model.model_part import ModelPart, FeedDict
from neuralmonkey.logging import log
from neuralmonkey.nn.noisy_gru_cell import NoisyGRUCell
from ne... | 0.933203 | 0.382603 |
from MySQL import *
from Software import *
import json
class DB(object):
def __init__(self):
# Init Database Connection.
self.db = MySQL()
self.db.connect()
def getSoftware(self,id=None,name=None):
# Function for getting information for a specific software.
if id != N... | db.py | from MySQL import *
from Software import *
import json
class DB(object):
def __init__(self):
# Init Database Connection.
self.db = MySQL()
self.db.connect()
def getSoftware(self,id=None,name=None):
# Function for getting information for a specific software.
if id != N... | 0.430387 | 0.139338 |
import torch
from torch import nn
import torch.nn.functional as F
__all__ = ['SplAtConv3d']
class SplAtConv3d(nn.Module):
"""Split-Attention Conv3d
"""
def __init__(self, in_channels, channels, kernel_size, stride=1, padding=0,
dilation=1, groups=1, bias=True,
radix=2, n... | segmentation/zf/network/blocks/splat3D.py |
import torch
from torch import nn
import torch.nn.functional as F
__all__ = ['SplAtConv3d']
class SplAtConv3d(nn.Module):
"""Split-Attention Conv3d
"""
def __init__(self, in_channels, channels, kernel_size, stride=1, padding=0,
dilation=1, groups=1, bias=True,
radix=2, n... | 0.957893 | 0.409221 |
import fnmatch
import os
import plistlib
import re
import shutil
import subprocess
import sys
from distutils import dir_util
from nfbuild import NFBuild
class NFBuildWindows(NFBuild):
def __init__(self):
super(self.__class__, self).__init__()
self.project_file = 'build.ninja'
def installClan... | ci/nfbuildwindows.py | import fnmatch
import os
import plistlib
import re
import shutil
import subprocess
import sys
from distutils import dir_util
from nfbuild import NFBuild
class NFBuildWindows(NFBuild):
def __init__(self):
super(self.__class__, self).__init__()
self.project_file = 'build.ninja'
def installClan... | 0.14734 | 0.055669 |
import asyncio
from pathlib import Path
from ssl import SSLContext
from typing import Any, Awaitable, Dict, List, Optional, Sequence, Tuple, Union
import cytoolz as tlz
import ujson as json
from aiohttp import TCPConnector
from aiohttp.typedefs import StrOrURL
from aiohttp_client_cache import CachedSession, SQLiteBack... | async_retriever/async_retriever.py | import asyncio
from pathlib import Path
from ssl import SSLContext
from typing import Any, Awaitable, Dict, List, Optional, Sequence, Tuple, Union
import cytoolz as tlz
import ujson as json
from aiohttp import TCPConnector
from aiohttp.typedefs import StrOrURL
from aiohttp_client_cache import CachedSession, SQLiteBack... | 0.884096 | 0.175786 |
from copy import deepcopy
from spec import (
FAR_FUTURE_EPOCH,
GENESIS_EPOCH,
MAX_DEPOSIT_AMOUNT,
SLOTS_PER_EPOCH,
ZERO_HASH,
BeaconBlock,
DepositData,
DepositInput,
Eth1Data,
Validator,
int_to_bytes48,
merkle_root,
get_genesis_beacon_state,
get_block_root,
g... | spec_pythonizer/sanity_check.py | from copy import deepcopy
from spec import (
FAR_FUTURE_EPOCH,
GENESIS_EPOCH,
MAX_DEPOSIT_AMOUNT,
SLOTS_PER_EPOCH,
ZERO_HASH,
BeaconBlock,
DepositData,
DepositInput,
Eth1Data,
Validator,
int_to_bytes48,
merkle_root,
get_genesis_beacon_state,
get_block_root,
g... | 0.321247 | 0.465691 |
import os, sys, json, re, shutil
from utils.queryBuilder import postQuery
def prep_inputs(ml_dir, ctx_file, in_file):
# get context
with open(ctx_file) as f:
j = json.load(f)
# get kwargs
kwargs = j #mstarch - with containerization, "kwargs" are in context at top level #json.loads(j['rule']... | ariaml/trainPredictor_inputPrep.py | import os, sys, json, re, shutil
from utils.queryBuilder import postQuery
def prep_inputs(ml_dir, ctx_file, in_file):
# get context
with open(ctx_file) as f:
j = json.load(f)
# get kwargs
kwargs = j #mstarch - with containerization, "kwargs" are in context at top level #json.loads(j['rule']... | 0.159839 | 0.151028 |
from api import models
from django.core.management.base import BaseCommand
import csv
import dateutil.parser
def export_file():
file_name = "dpu_data.csv"
models.Space.objects.all().delete()
models.Doorway.objects.all().delete()
models.DPU.objects.all().delete()
models.Events.objects.all().delete... | api/management/commands/load_dpu.py | from api import models
from django.core.management.base import BaseCommand
import csv
import dateutil.parser
def export_file():
file_name = "dpu_data.csv"
models.Space.objects.all().delete()
models.Doorway.objects.all().delete()
models.DPU.objects.all().delete()
models.Events.objects.all().delete... | 0.402979 | 0.159381 |
import sys
import os
import asyncio
import socket
import struct
import subprocess
import time
import logging
import random
import inspect
import threading
from threading import Thread
from threading import Lock
from threading import Condition
from enum import Enum
import traceback
import configparser
from topo import ... | tracker/tracker_aio.py | import sys
import os
import asyncio
import socket
import struct
import subprocess
import time
import logging
import random
import inspect
import threading
from threading import Thread
from threading import Lock
from threading import Condition
from enum import Enum
import traceback
import configparser
from topo import ... | 0.354768 | 0.079424 |
import numpy as np
from envs.task import Task
class TaskReal(Task):
def __init__(self,
env_robot=None,
time_step=None,
max_steps=None,
step_limit=None,
action_dim=None,
max_vel=None,
max_rad=N... | envs/task_real.py |
import numpy as np
from envs.task import Task
class TaskReal(Task):
def __init__(self,
env_robot=None,
time_step=None,
max_steps=None,
step_limit=None,
action_dim=None,
max_vel=None,
max_rad=N... | 0.537041 | 0.170577 |
import cv2
import numpy as np
import imutils
import time
import math
import sys
sys.path.append('../../utils')
from video_recorder import RasPiCamera
global win_pts
# Mouse Click Event
# https://www.pyimagesearch.com/2015/03/09/capturing-mouse-click-events-with-python-and-opencv/
def onmouse(event, x, y, flags, par... | Assignments/HW9/process_block.py | import cv2
import numpy as np
import imutils
import time
import math
import sys
sys.path.append('../../utils')
from video_recorder import RasPiCamera
global win_pts
# Mouse Click Event
# https://www.pyimagesearch.com/2015/03/09/capturing-mouse-click-events-with-python-and-opencv/
def onmouse(event, x, y, flags, par... | 0.410402 | 0.175009 |
import ConfigParser
import json
import pickle
import sys
import warnings
import mysql.connector
from pandas import DataFrame
from sklearn.cross_validation import KFold
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import RidgeClassifier
from sklearn.metrics import f1_score, acc... | classes/classifier.py |
import ConfigParser
import json
import pickle
import sys
import warnings
import mysql.connector
from pandas import DataFrame
from sklearn.cross_validation import KFold
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import RidgeClassifier
from sklearn.metrics import f1_score, acc... | 0.380183 | 0.197348 |
import unittest
import pytest
from reinvent_scoring.scoring import CustomSum
from reinvent_scoring.scoring.enums import ROCSInputFileTypesEnum
from unittest_reinvent.fixtures.paths import ROCS_SHAPE_QUERY
from reinvent_scoring.scoring.enums import ROCSSimilarityMeasuresEnum, ROCSSpecificParametersEnum
from reinvent_sc... | unittest_reinvent/scoring_tests/scoring_3d/test_parallel_rocs_similarity_with_transformation.py | import unittest
import pytest
from reinvent_scoring.scoring import CustomSum
from reinvent_scoring.scoring.enums import ROCSInputFileTypesEnum
from unittest_reinvent.fixtures.paths import ROCS_SHAPE_QUERY
from reinvent_scoring.scoring.enums import ROCSSimilarityMeasuresEnum, ROCSSpecificParametersEnum
from reinvent_sc... | 0.622574 | 0.399314 |
import threading
import logging
from contextlib import contextmanager
from DataJoin.common import data_join_service_pb2 as data_join_pb
from DataJoin.utils.process_manager import ProcessorManager
from DataJoin.config import sync_example_id_nums
from DataJoin.data_join.raw_data_loader import InitRawDataLoading
class ... | src/DataJoin/data_join/example_id_producer.py |
import threading
import logging
from contextlib import contextmanager
from DataJoin.common import data_join_service_pb2 as data_join_pb
from DataJoin.utils.process_manager import ProcessorManager
from DataJoin.config import sync_example_id_nums
from DataJoin.data_join.raw_data_loader import InitRawDataLoading
class ... | 0.527803 | 0.0745 |
if False:
# no seccomp on Amazon Lambda :-(
import os, sys, errno
from pyseccomp import *
f = SyscallFilter(defaction=KILL)
f.add_rule(ALLOW, "open",
Arg(1, MASKED_EQ, os.O_RDONLY,
os.O_RDONLY | os.O_RDWR | os.O_WRONLY))
f.add_rule(ALLOW, "openat",
... | backend/sandbox/sandbox.py | if False:
# no seccomp on Amazon Lambda :-(
import os, sys, errno
from pyseccomp import *
f = SyscallFilter(defaction=KILL)
f.add_rule(ALLOW, "open",
Arg(1, MASKED_EQ, os.O_RDONLY,
os.O_RDONLY | os.O_RDWR | os.O_WRONLY))
f.add_rule(ALLOW, "openat",
... | 0.214527 | 0.128498 |
import json
from typing import Dict, Tuple
from authlib.common.encoding import json_dumps
from authlib.jose import OKPKey
from didcomm.common.types import (
VerificationMethodType,
VerificationMaterial,
VerificationMaterialFormat,
)
from didcomm.errors import DIDCommValueError
from didcomm.secrets.secrets... | didcomm/secrets/secrets_util.py | import json
from typing import Dict, Tuple
from authlib.common.encoding import json_dumps
from authlib.jose import OKPKey
from didcomm.common.types import (
VerificationMethodType,
VerificationMaterial,
VerificationMaterialFormat,
)
from didcomm.errors import DIDCommValueError
from didcomm.secrets.secrets... | 0.796213 | 0.198452 |
import os
import pandas as pd
from parsel import Selector
from time import sleep
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui im... | linkedin_job_scraping.py |
import os
import pandas as pd
from parsel import Selector
from time import sleep
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui im... | 0.165425 | 0.056314 |
import pandas as pandas
import numpy as np
from sklearn.metrics import pairwise_distances
from sklearn.preprocessing import StandardScaler
from scipy import stats
import seaborn as sns
import matplotlib.pyplot as plt
def normalize_btwn_0_1(list_obj):
"""
Takes a list and normalizes the values from 0 (smallest)... | lsan_tools/math.py | import pandas as pandas
import numpy as np
from sklearn.metrics import pairwise_distances
from sklearn.preprocessing import StandardScaler
from scipy import stats
import seaborn as sns
import matplotlib.pyplot as plt
def normalize_btwn_0_1(list_obj):
"""
Takes a list and normalizes the values from 0 (smallest)... | 0.7237 | 0.557966 |