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 cPickle as pickle
import numpy as np
import rospy
import tf2_geometry_msgs
import tf2_ros
import geometry_msgs.msg as geometry_msgs
import nav_msgs.msg as nav_msgs
import std_msgs.msg as std_msgs
import abstract_map_lib.visual as visual
import abstract_map_lib.tools as tools
_SAVE_ABSTRACT_MAP_ON_EXIT = True
... | src/abstract_map_visualiser.py | import cPickle as pickle
import numpy as np
import rospy
import tf2_geometry_msgs
import tf2_ros
import geometry_msgs.msg as geometry_msgs
import nav_msgs.msg as nav_msgs
import std_msgs.msg as std_msgs
import abstract_map_lib.visual as visual
import abstract_map_lib.tools as tools
_SAVE_ABSTRACT_MAP_ON_EXIT = True
... | 0.551936 | 0.132936 |
"""autogenerated by genpy from pioneer2dx_ros/myGPSMessage.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class myGPSMessage(genpy.Message):
_md5sum = "6cb97d1e605900e785858ea58cd96c67"
_type = "pioneer2dx_ros/myGPSMessage"
_has_header = False... | catkin_workspace/devel/lib/python2.7/dist-packages/pioneer2dx_ros/msg/_myGPSMessage.py | """autogenerated by genpy from pioneer2dx_ros/myGPSMessage.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class myGPSMessage(genpy.Message):
_md5sum = "6cb97d1e605900e785858ea58cd96c67"
_type = "pioneer2dx_ros/myGPSMessage"
_has_header = False... | 0.431225 | 0.300425 |
import seaborn as sns
import visualization.visualize as visualize
import transporters.optical_functions_factory as optical_functions_factory
def plot_optical_functions(datasets, x_axis_parameter, optical_function_name, **kwargs):
return visualize.plot_datasets(x_axis_parameter, optical_function_name, "transporter... | src/visualization/optics_parameter_visualisation.py | import seaborn as sns
import visualization.visualize as visualize
import transporters.optical_functions_factory as optical_functions_factory
def plot_optical_functions(datasets, x_axis_parameter, optical_function_name, **kwargs):
return visualize.plot_datasets(x_axis_parameter, optical_function_name, "transporter... | 0.756178 | 0.53443 |
import logging
import pytest
import responses
from flash_services.core import Service
from flash_services.github import GitHubEnterpriseIssues, GitHubIssues
@pytest.fixture
def service():
return GitHubIssues(username='user', password='<PASSWORD>', account='foo', repo='bar')
def test_tracker_service_type():
... | tests/test_github_issues_service.py | import logging
import pytest
import responses
from flash_services.core import Service
from flash_services.github import GitHubEnterpriseIssues, GitHubIssues
@pytest.fixture
def service():
return GitHubIssues(username='user', password='<PASSWORD>', account='foo', repo='bar')
def test_tracker_service_type():
... | 0.452778 | 0.336168 |
import torch
import torch_mlir
import typing
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()
# CHECK-LABEL: func @__torch__.prim_Loop_forlike(
# CHECK-SAME: %[[MAX_ITERATIONS:.*]]: i64) -> f64 {
# CHECK: %[[BOOL_TRUE:.*]] = basicpy.bool_constant ... | frontends/pytorch/test/node_import/loop.py |
import torch
import torch_mlir
import typing
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()
# CHECK-LABEL: func @__torch__.prim_Loop_forlike(
# CHECK-SAME: %[[MAX_ITERATIONS:.*]]: i64) -> f64 {
# CHECK: %[[BOOL_TRUE:.*]] = basicpy.bool_constant ... | 0.503174 | 0.274807 |
import requests
import sys
import argparse
import logging
import json
import time
import string
import datetime
import anticrlf
from veracode_api_py import VeracodeAPI as vapi
log = logging.getLogger(__name__)
def setup_logger():
handler = logging.FileHandler('vcworkspace.log', encoding='utf8')
handler.setFo... | vcworkspace.py | import requests
import sys
import argparse
import logging
import json
import time
import string
import datetime
import anticrlf
from veracode_api_py import VeracodeAPI as vapi
log = logging.getLogger(__name__)
def setup_logger():
handler = logging.FileHandler('vcworkspace.log', encoding='utf8')
handler.setFo... | 0.207375 | 0.080719 |
import bpy
import ast
import os
import sys
import re
import math
from mathutils import Matrix, Vector, Euler
from .dynlist_utils import tokenize_list
D_MATERIAL = bpy.types.Material
D_LIGHT = bpy.types.Light
id_database = {}
current_mat = None
current_object = None
current_context = None
vertex_count = 0
def selec... | goddard_addon/import_goddard.py | import bpy
import ast
import os
import sys
import re
import math
from mathutils import Matrix, Vector, Euler
from .dynlist_utils import tokenize_list
D_MATERIAL = bpy.types.Material
D_LIGHT = bpy.types.Light
id_database = {}
current_mat = None
current_object = None
current_context = None
vertex_count = 0
def selec... | 0.322739 | 0.158142 |
import random
import pyglet
import logging
import os
import glob
import math
from functions import *
from actor import Actor, Hand
from stats import StatSystem
from animations import HandAnimAttack, HeadBobbing, Pulse
from load_config import ConfigSectionMap as load_cfg
import abilities
ROOT = os.path.dirname(__file__)... | player.py | import random
import pyglet
import logging
import os
import glob
import math
from functions import *
from actor import Actor, Hand
from stats import StatSystem
from animations import HandAnimAttack, HeadBobbing, Pulse
from load_config import ConfigSectionMap as load_cfg
import abilities
ROOT = os.path.dirname(__file__)... | 0.376738 | 0.106598 |
import torch
from . import dwt3d, utils
__all__ = ["HyRes"]
class HyRes(torch.nn.Module):
"""
HyRes -- Automatic Hyperspectral Restoration Using low-rank and sparse modeling.
The model used is :math:`Y=D_2XV'+N` and penalized least squares with :math:`\ell_1` penalty.
The formula to restore the sig... | src/hyde/hyres.py | import torch
from . import dwt3d, utils
__all__ = ["HyRes"]
class HyRes(torch.nn.Module):
"""
HyRes -- Automatic Hyperspectral Restoration Using low-rank and sparse modeling.
The model used is :math:`Y=D_2XV'+N` and penalized least squares with :math:`\ell_1` penalty.
The formula to restore the sig... | 0.868199 | 0.567248 |
import re
import sys
from nose.plugins.attrib import attr
from nose.tools import assert_equal, assert_set_equal, assert_true
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from plastid.test.ref_files import REF_FILES
from plastid.genomics.seqtools import seq_to_regex, mutate_seqs, random_seq,\
... | plastid/test/unit/genomics/test_seqtools.py | import re
import sys
from nose.plugins.attrib import attr
from nose.tools import assert_equal, assert_set_equal, assert_true
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from plastid.test.ref_files import REF_FILES
from plastid.genomics.seqtools import seq_to_regex, mutate_seqs, random_seq,\
... | 0.352982 | 0.428383 |
from flask import request
from sqlalchemy_filters.models import get_model_from_spec, Field, get_default_model, auto_join
from sqlalchemy_filters.sorting import Sort as BaseSort
from api_utils.constants import ORDERING_PARAM, ORDER_PATTERN
SORT_ASCENDING = 'asc'
SORT_DESCENDING = 'desc'
def sort_query(query, view):
... | api_utils/data_layers/sorting.py | from flask import request
from sqlalchemy_filters.models import get_model_from_spec, Field, get_default_model, auto_join
from sqlalchemy_filters.sorting import Sort as BaseSort
from api_utils.constants import ORDERING_PARAM, ORDER_PATTERN
SORT_ASCENDING = 'asc'
SORT_DESCENDING = 'desc'
def sort_query(query, view):
... | 0.72662 | 0.277666 |
import os
from flask import Flask, render_template, request, redirect
from models import site_user, get_restaurant, get_review, suggestion_from_friend, get_category, get_business, get_photo, get_city
from py2neo import Graph
import requests
from hours import split_times
from datetime import datetime
from random import ... | Webapp/venv/app/views.py | import os
from flask import Flask, render_template, request, redirect
from models import site_user, get_restaurant, get_review, suggestion_from_friend, get_category, get_business, get_photo, get_city
from py2neo import Graph
import requests
from hours import split_times
from datetime import datetime
from random import ... | 0.206974 | 0.086323 |
from django import forms
from django.conf import settings
from django.core.urlresolvers import reverse
from simplepay import HOST, PATH, ACCESS_KEY, SECRET_KEY
from urllib import quote
import base64
import hashlib
import hmac
import uuid
EXCLUDE_FROM_SIGNATURE = ('signature',)
class SignatureField(forms.CharField):
... | simplepay/forms.py | from django import forms
from django.conf import settings
from django.core.urlresolvers import reverse
from simplepay import HOST, PATH, ACCESS_KEY, SECRET_KEY
from urllib import quote
import base64
import hashlib
import hmac
import uuid
EXCLUDE_FROM_SIGNATURE = ('signature',)
class SignatureField(forms.CharField):
... | 0.485356 | 0.071851 |
from collections import OrderedDict
from odoo import http, _
from odoo.addons.website_portal.controllers.main import website_account
from odoo.http import request
class WebsiteAccount(website_account):
def _prepare_portal_layout_values(self):
values = super(WebsiteAccount, self)._prepare_portal_layout_... | apps/odoo/lib/odoo-10.0.post20170615-py2.7.egg/odoo/addons/website_project_issue/controllers/main.py |
from collections import OrderedDict
from odoo import http, _
from odoo.addons.website_portal.controllers.main import website_account
from odoo.http import request
class WebsiteAccount(website_account):
def _prepare_portal_layout_values(self):
values = super(WebsiteAccount, self)._prepare_portal_layout_... | 0.41834 | 0.093802 |
from random import choice
from os import system
from platform import system as OperationSystem
from time import sleep
class Vars(object):
'''Variables class for Tic Tac Toe game\n'''
game_rules = '-= RULES =-\n1. The game is played on a grid that\'s 3 squares by 3 squares.\n2. You choice your sign (X or O), a... | tic_tac_toe.py | from random import choice
from os import system
from platform import system as OperationSystem
from time import sleep
class Vars(object):
'''Variables class for Tic Tac Toe game\n'''
game_rules = '-= RULES =-\n1. The game is played on a grid that\'s 3 squares by 3 squares.\n2. You choice your sign (X or O), a... | 0.402744 | 0.334073 |
import numpy as np
__all__ = [
'x3_toy',
'x3_gap_toy',
'sin_toy',
]
class toy_dataset(object):
def __init__(self, name=''):
self.name = name
def train_samples(self):
raise NotImplementedError
def test_samples(self):
raise NotImplementedError
class x3_toy(toy_datas... | data/toy.py | import numpy as np
__all__ = [
'x3_toy',
'x3_gap_toy',
'sin_toy',
]
class toy_dataset(object):
def __init__(self, name=''):
self.name = name
def train_samples(self):
raise NotImplementedError
def test_samples(self):
raise NotImplementedError
class x3_toy(toy_datas... | 0.747155 | 0.463566 |
try:
import urllib.request as urllib2
except ImportError:
import urllib2
import json
from dateutil import parser
from datetime import date
import time
from Classes import Play
import pickle
class Sports_API(object):
"""Does the interface with the """
def __init__(self, access, version):
super... | AnalysisSite/API_IFace.py | try:
import urllib.request as urllib2
except ImportError:
import urllib2
import json
from dateutil import parser
from datetime import date
import time
from Classes import Play
import pickle
class Sports_API(object):
"""Does the interface with the """
def __init__(self, access, version):
super... | 0.348756 | 0.110615 |
from __future__ import unicode_literals
import json
from django import template
from django.template.defaultfilters import stringfilter, mark_safe
register = template.Library()
@register.filter(name="json")
def to_json(values):
return mark_safe(json.dumps(values))
@register.filter(name="int_list")
def to_int_l... | redis_metrics/templatetags/redis_metrics_filters.py | from __future__ import unicode_literals
import json
from django import template
from django.template.defaultfilters import stringfilter, mark_safe
register = template.Library()
@register.filter(name="json")
def to_json(values):
return mark_safe(json.dumps(values))
@register.filter(name="int_list")
def to_int_l... | 0.756537 | 0.300441 |
from lyricsprocessor.utils import start_genius_api, load_df, save_text_file
from os import path, mkdir
from pathlib import Path
from typing import Dict, Tuple
from pandas import read_hdf
from argparse import ArgumentParser
from collections import OrderedDict
##################################################... | lyricsprocessor/write_lyrics_to_file/write_lyrics_to_file.py | from lyricsprocessor.utils import start_genius_api, load_df, save_text_file
from os import path, mkdir
from pathlib import Path
from typing import Dict, Tuple
from pandas import read_hdf
from argparse import ArgumentParser
from collections import OrderedDict
##################################################... | 0.374219 | 0.059866 |
import os
import glob
import numpy as np
import matplotlib.pyplot as plt
import random
import sys
sys.path.append('../../config')
from config import Config
config = Config()
root = config.root
sub = '/result/process/new'
all_file = os.listdir(root + sub + '/group_velocity')
for file in os.listdir(root + sub + '/phase_... | result/process/plot_res.py | import os
import glob
import numpy as np
import matplotlib.pyplot as plt
import random
import sys
sys.path.append('../../config')
from config import Config
config = Config()
root = config.root
sub = '/result/process/new'
all_file = os.listdir(root + sub + '/group_velocity')
for file in os.listdir(root + sub + '/phase_... | 0.140042 | 0.178222 |
import unittest
from autoopt.distributions import Choice
from autoopt.pipelines import Pipeline
from utils import create_node
class TestEmptyPipeline(unittest.TestCase):
def setUp(self):
self.pipeline = Pipeline()
def test_parameter_space(self):
self.assertDictEqual(self.pipeline.parameter_s... | tests/pipelines/test_pipeline.py | import unittest
from autoopt.distributions import Choice
from autoopt.pipelines import Pipeline
from utils import create_node
class TestEmptyPipeline(unittest.TestCase):
def setUp(self):
self.pipeline = Pipeline()
def test_parameter_space(self):
self.assertDictEqual(self.pipeline.parameter_s... | 0.544801 | 0.631481 |
from unittest import TestCase
from unittest.mock import patch
from plugins import timetable_plugin
from faker import fake_creds, FakeClient, FakeMessage
from common.utils import render
class TestTimetableFunction(TestCase):
client = FakeClient()
correct_msg = {
'channel': fake_creds['FAKE_CHANNEL']... | tests/test_timetable_response.py | from unittest import TestCase
from unittest.mock import patch
from plugins import timetable_plugin
from faker import fake_creds, FakeClient, FakeMessage
from common.utils import render
class TestTimetableFunction(TestCase):
client = FakeClient()
correct_msg = {
'channel': fake_creds['FAKE_CHANNEL']... | 0.737536 | 0.299041 |
from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import CONFIG_DISPATCHER, MAIN_DISPATCHER, DEAD_DISPATCHER
from ryu.controller.handler import set_ev_cls
from ryu.ofproto import ofproto_v1_3
from ryu.lib import hub
import time
import os
#Datapath ID of each wireless node... | Design of medium-range outdoor wireless mesh network with open-flow enabled raspberry Pi/Rerouting by RYU controller/sdwmn_rerouting.py | from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import CONFIG_DISPATCHER, MAIN_DISPATCHER, DEAD_DISPATCHER
from ryu.controller.handler import set_ev_cls
from ryu.ofproto import ofproto_v1_3
from ryu.lib import hub
import time
import os
#Datapath ID of each wireless node... | 0.455199 | 0.22007 |
from datetime import datetime, timedelta
import pytest
from manager_core.CurbTheScreen import DataManager, TrackedProgram
# Tests to be added
# TODO test to_objs many
@pytest.fixture(scope="function")
def store_example(create_db):
with DataManager.StoreData(DataManager) as db:
name = "test"
sta... | manager_core/tests/test_data_manager.py | from datetime import datetime, timedelta
import pytest
from manager_core.CurbTheScreen import DataManager, TrackedProgram
# Tests to be added
# TODO test to_objs many
@pytest.fixture(scope="function")
def store_example(create_db):
with DataManager.StoreData(DataManager) as db:
name = "test"
sta... | 0.5083 | 0.521593 |
from flask import render_template, request
from app import app
import MySQLdb
from models import tweet_features, get_tweet_html, validate_tweet
@app.route('/')
@app.route('/input')
def landing():
return render_template("input.html", img_count=0)
# input template -> score. Carries image info.
@app.route('/sc... | app/views.py | from flask import render_template, request
from app import app
import MySQLdb
from models import tweet_features, get_tweet_html, validate_tweet
@app.route('/')
@app.route('/input')
def landing():
return render_template("input.html", img_count=0)
# input template -> score. Carries image info.
@app.route('/sc... | 0.405802 | 0.075892 |
import time
from acts.test_utils.tel.TelephonyBaseTest import TelephonyBaseTest
from acts.test_utils.tel.tel_defines import CALL_CAPABILITY_MANAGE_CONFERENCE
from acts.test_utils.tel.tel_defines import CALL_CAPABILITY_MERGE_CONFERENCE
from acts.test_utils.tel.tel_defines import CALL_CAPABILITY_SWAP_CONFERENCE
from acts... | test/connectivity/acts/tests/google/tel/live/TelLiveVoiceConfTest.py | import time
from acts.test_utils.tel.TelephonyBaseTest import TelephonyBaseTest
from acts.test_utils.tel.tel_defines import CALL_CAPABILITY_MANAGE_CONFERENCE
from acts.test_utils.tel.tel_defines import CALL_CAPABILITY_MERGE_CONFERENCE
from acts.test_utils.tel.tel_defines import CALL_CAPABILITY_SWAP_CONFERENCE
from acts... | 0.28877 | 0.361785 |
import os
import sys
import struct
import hashlib
import filecmp
import logging
import argparse
import time
CHUNK_SIZE = 4096
SMART_LIMIT = 2**10
def get_info(path):
return { 'path': path, 'stat': os.stat(path) }
def relpath(info):
return info['relpath']
def fileid(info):
return info['stat'].st_dev, in... | rdfind.py |
import os
import sys
import struct
import hashlib
import filecmp
import logging
import argparse
import time
CHUNK_SIZE = 4096
SMART_LIMIT = 2**10
def get_info(path):
return { 'path': path, 'stat': os.stat(path) }
def relpath(info):
return info['relpath']
def fileid(info):
return info['stat'].st_dev, in... | 0.14624 | 0.130701 |
from .base_lutman import Base_LutMan, get_redundant_codewords
import numpy as np
from collections import Iterable, OrderedDict
from qcodes.instrument.parameter import ManualParameter
from qcodes.utils import validators as vals
from pycqed.measurement.waveform_control_CC import waveform as wf
class Base_MW_LutMan(Base... | pycqed/instrument_drivers/meta_instrument/LutMans/mw_lutman.py | from .base_lutman import Base_LutMan, get_redundant_codewords
import numpy as np
from collections import Iterable, OrderedDict
from qcodes.instrument.parameter import ManualParameter
from qcodes.utils import validators as vals
from pycqed.measurement.waveform_control_CC import waveform as wf
class Base_MW_LutMan(Base... | 0.696165 | 0.263324 |
import os
import numpy as np
import torch
from .chexpert.data_loader import load_partition_data_chexpert
import logging
def load(args):
return load_synthetic_data(args)
def combine_batches(batches):
full_x = torch.from_numpy(np.asarray([])).float()
full_y = torch.from_numpy(np.asarray([])).long()
... | app/fedcv/medical_chest_xray_image_clf/data/data_loader.py | import os
import numpy as np
import torch
from .chexpert.data_loader import load_partition_data_chexpert
import logging
def load(args):
return load_synthetic_data(args)
def combine_batches(batches):
full_x = torch.from_numpy(np.asarray([])).float()
full_y = torch.from_numpy(np.asarray([])).long()
... | 0.540681 | 0.361982 |
# ----------------------------- MAIN -----------------------------
from astropy.table import Table
import numpy as np
import time
# My modules
from vsh_fit import vsh_fit
from pmt_convert import st_to_rotgldquad
from generate_test_data import generate_test_sample
# Read the simulated data
rot_vec = np.array([20, 30... | tune_para.py | # ----------------------------- MAIN -----------------------------
from astropy.table import Table
import numpy as np
import time
# My modules
from vsh_fit import vsh_fit
from pmt_convert import st_to_rotgldquad
from generate_test_data import generate_test_sample
# Read the simulated data
rot_vec = np.array([20, 30... | 0.436982 | 0.478773 |
import logging
import telnetlib
import unicodedata
import urllib.parse
import select
from .screen import Screen
logger = logging.getLogger(__name__)
class Server(object):
""" LCDproc Server Object """
def __init__(self, hostname="localhost", port=13666, debug=False, charset='utf-8'):
""" Construc... | mpdlcd/vendor/lcdproc/server.py |
import logging
import telnetlib
import unicodedata
import urllib.parse
import select
from .screen import Screen
logger = logging.getLogger(__name__)
class Server(object):
""" LCDproc Server Object """
def __init__(self, hostname="localhost", port=13666, debug=False, charset='utf-8'):
""" Construc... | 0.329068 | 0.085366 |
def enum(**enums):
return type('Enum', (), enums)
EActivitiesErrorTypes = enum(HTTP=1, SQL=2, GENERAL=3, FILE=4, VALIDATION=5, LADDER=7)
EActivitiesHttpErrors = enum(
FILE_TOO_LARGE=1,
NO_FILES=4,
FILE_PERMISSIONS_ERROR=5,
FILE_UPLOAD_TIMEOUT=8,
FILE_COLLISION=60001,
FILE_MAX_COUNT=60002
... | eactivities/exceptions.py |
def enum(**enums):
return type('Enum', (), enums)
EActivitiesErrorTypes = enum(HTTP=1, SQL=2, GENERAL=3, FILE=4, VALIDATION=5, LADDER=7)
EActivitiesHttpErrors = enum(
FILE_TOO_LARGE=1,
NO_FILES=4,
FILE_PERMISSIONS_ERROR=5,
FILE_UPLOAD_TIMEOUT=8,
FILE_COLLISION=60001,
FILE_MAX_COUNT=60002
... | 0.422862 | 0.057467 |
import terrascript
class elasticsearch_component_template(terrascript.Resource):
pass
class elasticsearch_composable_index_template(terrascript.Resource):
pass
class elasticsearch_index(terrascript.Resource):
pass
class elasticsearch_index_template(terrascript.Resource):
pass
class elasticsear... | terrascript/resource/phillbaker/elasticsearch.py | import terrascript
class elasticsearch_component_template(terrascript.Resource):
pass
class elasticsearch_composable_index_template(terrascript.Resource):
pass
class elasticsearch_index(terrascript.Resource):
pass
class elasticsearch_index_template(terrascript.Resource):
pass
class elasticsear... | 0.488283 | 0.143008 |
import dataclasses
import enum
import typing
from typing import Dict, List, Mapping, Optional
import attr
from ventserver.protocols import events
from ventserver.protocols.application import clocks, lists
from ventserver.protocols.protobuf import mcu_pb
from ventserver.sansio import channels, protocols
# Events
... | backend/ventserver/protocols/backend/log.py |
import dataclasses
import enum
import typing
from typing import Dict, List, Mapping, Optional
import attr
from ventserver.protocols import events
from ventserver.protocols.application import clocks, lists
from ventserver.protocols.protobuf import mcu_pb
from ventserver.sansio import channels, protocols
# Events
... | 0.910339 | 0.162115 |
import flask
medalDict = { "games-played-1" : { "name" : "Tourist",
"text" : "Played {} games on this server",
"color" : "white",
"text-color" : "black" },
"games-played-2" : { "... | medals.py | import flask
medalDict = { "games-played-1" : { "name" : "Tourist",
"text" : "Played {} games on this server",
"color" : "white",
"text-color" : "black" },
"games-played-2" : { "... | 0.264358 | 0.226014 |
import math
import srwlib
import numpy as np
from srwlib import *
def createGsnSrcSRW(sigrW,propLen,pulseE,poltype,phE=10e3,sampFact=15,mx=0,my=0):
"""
#sigrW: beam size at waist [m]
#propLen: propagation length [m] required by SRW to create numerical Gaussian
#pulseE: energy per pulse [J]
#poltyp... | rslaser/rsoptics/wavefront.py | import math
import srwlib
import numpy as np
from srwlib import *
def createGsnSrcSRW(sigrW,propLen,pulseE,poltype,phE=10e3,sampFact=15,mx=0,my=0):
"""
#sigrW: beam size at waist [m]
#propLen: propagation length [m] required by SRW to create numerical Gaussian
#pulseE: energy per pulse [J]
#poltyp... | 0.513668 | 0.579103 |
import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.6/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'o6hk&s9ffvgn5g3k$))i=@7k16g#ai@oom4m#... | sampleproject/sampleproject/settings.py | import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.6/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'o6hk&s9ffvgn5g3k$))i=@7k16g#ai@oom4m#... | 0.389198 | 0.060142 |
from tdp_core.dbview import DBViewBuilder, DBConnector, add_common_queries, inject_where, DBMapping
# idtype of our rows
idtype = 'MyIDType'
# columns of our mytable, it is used to verify dynamic parameters
columns = ['name', 'cat', 'value']
mappings = [
DBMapping('MyIDType', 'IDTypeB', """SELECT my_id as f, b_id as... | myserverplugin/mydb.py | from tdp_core.dbview import DBViewBuilder, DBConnector, add_common_queries, inject_where, DBMapping
# idtype of our rows
idtype = 'MyIDType'
# columns of our mytable, it is used to verify dynamic parameters
columns = ['name', 'cat', 'value']
mappings = [
DBMapping('MyIDType', 'IDTypeB', """SELECT my_id as f, b_id as... | 0.569134 | 0.255657 |
import torch
import torch.nn as nn
import rlutils.pytorch as rlu
class EnsembleMinQNet(nn.Module):
def __init__(self, ob_dim, ac_dim, mlp_hidden, num_ensembles=2, num_layers=3):
super(EnsembleMinQNet, self).__init__()
self.ob_dim = ob_dim
self.ac_dim = ac_dim
self.mlp_hidden = mlp... | rlutils/pytorch/nn/values.py | import torch
import torch.nn as nn
import rlutils.pytorch as rlu
class EnsembleMinQNet(nn.Module):
def __init__(self, ob_dim, ac_dim, mlp_hidden, num_ensembles=2, num_layers=3):
super(EnsembleMinQNet, self).__init__()
self.ob_dim = ob_dim
self.ac_dim = ac_dim
self.mlp_hidden = mlp... | 0.931688 | 0.502197 |
from abc import ABC, abstractmethod
from typing import Sequence
from pysavime.savime.datatype import SavimeSupportedTypes
class ReprMixIn:
"""
Adds generic functionality for printing string representations.
"""
def __repr__(self):
if len(self.__slots__) > 0:
attrs_str = ', '.join... | pysavime/schema/schema.py | from abc import ABC, abstractmethod
from typing import Sequence
from pysavime.savime.datatype import SavimeSupportedTypes
class ReprMixIn:
"""
Adds generic functionality for printing string representations.
"""
def __repr__(self):
if len(self.__slots__) > 0:
attrs_str = ', '.join... | 0.944702 | 0.536374 |
import xarray as xr
from ..utils import wraparound
from . import FiniteDiff, BwdDiff, FwdDiff
class CenDiff(FiniteDiff):
"""Centered finite differencing."""
_MIN_SPACING_FACTOR = 2
_DIFF_BWD_CLS = BwdDiff
_DIFF_FWD_CLS = FwdDiff
def __init__(self, arr, dim, spacing=1, fill_edge=False, wrap=False... | indiff/diff/centered.py | import xarray as xr
from ..utils import wraparound
from . import FiniteDiff, BwdDiff, FwdDiff
class CenDiff(FiniteDiff):
"""Centered finite differencing."""
_MIN_SPACING_FACTOR = 2
_DIFF_BWD_CLS = BwdDiff
_DIFF_FWD_CLS = FwdDiff
def __init__(self, arr, dim, spacing=1, fill_edge=False, wrap=False... | 0.872755 | 0.46794 |
r"""
--- Day 7: The Sum of Its Parts ---
You find yourself standing on a snow-covered coastline; apparently, you landed a little off course. The region is too
hilly to see the North Pole from here, but you do spot some Elves that seem to be trying to unpack something that washed
ashore. It's quite cold out, so you dec... | 2018/07_the_sum_of_its_parts.py | r"""
--- Day 7: The Sum of Its Parts ---
You find yourself standing on a snow-covered coastline; apparently, you landed a little off course. The region is too
hilly to see the North Pole from here, but you do spot some Elves that seem to be trying to unpack something that washed
ashore. It's quite cold out, so you dec... | 0.719679 | 0.640861 |
import os
import glob
import subprocess as sp
heads = """
VERSION: 1
EXPID: GEOSldas_expid
EXPDSC: GEOSldas_output
EXPSRC: GEOSldas
COLLECTIONS:
"""
label = """
::
GRID_LABELS: PC720x361-DC
::
PC720x361-DC.GRID_TYPE: LatLon
PC720x361-DC.IM_WORLD: 720
PC720x361-DC.JM_WORLD: 361
PC720x361-DC.POLE: PC
PC720x361-DC.DAT... | src/Applications/LDAS_App/util/generate_catchincr_hist.py | import os
import glob
import subprocess as sp
heads = """
VERSION: 1
EXPID: GEOSldas_expid
EXPDSC: GEOSldas_output
EXPSRC: GEOSldas
COLLECTIONS:
"""
label = """
::
GRID_LABELS: PC720x361-DC
::
PC720x361-DC.GRID_TYPE: LatLon
PC720x361-DC.IM_WORLD: 720
PC720x361-DC.JM_WORLD: 361
PC720x361-DC.POLE: PC
PC720x361-DC.DAT... | 0.247623 | 0.048294 |
import numpy as np
from sklearn.datasets import fetch_mldata
class LabeledSet:
def __init__(self,x,y,input_dim,output_dim):
self.x = x
self.y = y
self.input_dim = input_dim
self.output_dim = output_dim
#Renvoie la dimension de l'espace d'entrée
def getInputDime... | DataClass.py |
import numpy as np
from sklearn.datasets import fetch_mldata
class LabeledSet:
def __init__(self,x,y,input_dim,output_dim):
self.x = x
self.y = y
self.input_dim = input_dim
self.output_dim = output_dim
#Renvoie la dimension de l'espace d'entrée
def getInputDime... | 0.398055 | 0.464173 |
import numpy as np
import matplotlib.pyplot as plt
#coiefficient calculation
def regress(x, x_s, t_s, M, N,lamda = 0):
order_list = np.arange((M + 1))
order_list = order_list[ :, np.newaxis]
exponent = np.tile(order_list,[1,N])
h = np.power(x_s,exponent)
a = np.matmul(h, np.transpose(h)) + lamda... | polynomial-curve-fitting.py | import numpy as np
import matplotlib.pyplot as plt
#coiefficient calculation
def regress(x, x_s, t_s, M, N,lamda = 0):
order_list = np.arange((M + 1))
order_list = order_list[ :, np.newaxis]
exponent = np.tile(order_list,[1,N])
h = np.power(x_s,exponent)
a = np.matmul(h, np.transpose(h)) + lamda... | 0.364778 | 0.645316 |
from __future__ import unicode_literals
from .common import InfoExtractor
from ..compat import compat_urllib_parse_urlparse
from ..utils import remove_end
class IwaraIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.|ecchi\.)?iwara\.tv/videos/(?P<id>[a-zA-Z0-9]+)'
_TESTS = [{
'url': 'http://iwara.tv... | youtube_dl/extractor/iwara.py | from __future__ import unicode_literals
from .common import InfoExtractor
from ..compat import compat_urllib_parse_urlparse
from ..utils import remove_end
class IwaraIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.|ecchi\.)?iwara\.tv/videos/(?P<id>[a-zA-Z0-9]+)'
_TESTS = [{
'url': 'http://iwara.tv... | 0.471467 | 0.146148 |
from __future__ import unicode_literals ,print_function
import serial
from time import sleep
import numpy as np
import matplotlib.pyplot as plt
import io
import csv
import time
import datetime
import struct
import math
# Variable to get real value
MPU9250A_2g = 0.000061035156 # 0.000061035156 g/LSB
MP... | extract/calc_calibration_1_1.py |
from __future__ import unicode_literals ,print_function
import serial
from time import sleep
import numpy as np
import matplotlib.pyplot as plt
import io
import csv
import time
import datetime
import struct
import math
# Variable to get real value
MPU9250A_2g = 0.000061035156 # 0.000061035156 g/LSB
MP... | 0.248899 | 0.150372 |
# Copyright 2020 AntiCompositeNumber
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writ... | tests/test_sigprobs.py |
# Copyright 2020 AntiCompositeNumber
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writ... | 0.709523 | 0.425963 |
from matplotlib.pyplot import subplots, figure, Subplot, Axes # , figure, plot, show
import numpy as np
from collections import OrderedDict # defaultdict
def plot_chains(chains, lnprobability, l_param_name=None, l_walker=None, l_burnin=None,
suppress_burnin=False, plot_height=2, plot_width=8, truths... | CaRM_HD189733/scripts/plot_chains.py | from matplotlib.pyplot import subplots, figure, Subplot, Axes # , figure, plot, show
import numpy as np
from collections import OrderedDict # defaultdict
def plot_chains(chains, lnprobability, l_param_name=None, l_walker=None, l_burnin=None,
suppress_burnin=False, plot_height=2, plot_width=8, truths... | 0.466603 | 0.270989 |
import pandas as pd
from audl.stats.library.data import teams
from audl.stats.library.data import teams_columns_name
from audl.stats.library.data import team_col_id, team_col_abr, team_col_full_name, team_col_team_name , team_col_city, team_col_state, team_col_year_founded
from audl.stats.library.data import team_index... | audl/stats/static/teams.py | import pandas as pd
from audl.stats.library.data import teams
from audl.stats.library.data import teams_columns_name
from audl.stats.library.data import team_col_id, team_col_abr, team_col_full_name, team_col_team_name , team_col_city, team_col_state, team_col_year_founded
from audl.stats.library.data import team_index... | 0.352982 | 0.200675 |
from uuid import UUID
from myapp.application.domain.model.article_vote import ArticleVote
from myapp.application.domain.model.cast_article_vote_result import VoteAlreadyCast, \
InsufficientKarma
from myapp.application.domain.model.vote import Vote
from myapp.application.domain.model.voting_user import VotingUser
f... | tests/test_myapp/application/service/test_post_rating_service.py | from uuid import UUID
from myapp.application.domain.model.article_vote import ArticleVote
from myapp.application.domain.model.cast_article_vote_result import VoteAlreadyCast, \
InsufficientKarma
from myapp.application.domain.model.vote import Vote
from myapp.application.domain.model.voting_user import VotingUser
f... | 0.587233 | 0.092319 |
import re
from ctdpy.core import utils
from ctdpy.core.data_handlers import DataFrameHandler
from ctdpy.core.data_handlers import SeriesHandler
from ctdpy.core.data_handlers import BaseReader
from ctdpy.core.readers.cnv_reader import CNVreader
class SeaBird(BaseReader, CNVreader, SeriesHandler):
"""Base for all s... | ctdpy/core/readers/seabird.py | import re
from ctdpy.core import utils
from ctdpy.core.data_handlers import DataFrameHandler
from ctdpy.core.data_handlers import SeriesHandler
from ctdpy.core.data_handlers import BaseReader
from ctdpy.core.readers.cnv_reader import CNVreader
class SeaBird(BaseReader, CNVreader, SeriesHandler):
"""Base for all s... | 0.754373 | 0.242688 |
import os
import hashlib
import pickle
import threading
import logging
from socketserver import BaseRequestHandler
import typing
import paramiko
class RequestsManager():
"""A class for creating requests for the client and manage control messages protocol"""
# ----------Constants----------
READY = "ready"
... | Anylink-server/requests_manager.py | import os
import hashlib
import pickle
import threading
import logging
from socketserver import BaseRequestHandler
import typing
import paramiko
class RequestsManager():
"""A class for creating requests for the client and manage control messages protocol"""
# ----------Constants----------
READY = "ready"
... | 0.671686 | 0.087798 |
from collections import deque, OrderedDict
from rlkit.core.eval_util import create_stats_ordered_dict
from rlkit.samplers.rollout_functions import rollout, multitask_rollout
from rlkit.samplers.data_collector.base import PathCollector
class MdpPathCollector(PathCollector):
def __init__(
self,
... | rlkit/rlkit/samplers/data_collector/path_collector.py | from collections import deque, OrderedDict
from rlkit.core.eval_util import create_stats_ordered_dict
from rlkit.samplers.rollout_functions import rollout, multitask_rollout
from rlkit.samplers.data_collector.base import PathCollector
class MdpPathCollector(PathCollector):
def __init__(
self,
... | 0.779448 | 0.249619 |
import os.path
import codecs
import markdown
import re
html_template = u"""<!DOCTYPE html>
<html>
<head>
<title>%(title)s</title>
<link rel="stylesheet" type="text/css" href="css/styles.css">
</head>
<body>
<div id="wikid-content">
<aside id="wikid-sidebar">
... | wikid/convert.py | import os.path
import codecs
import markdown
import re
html_template = u"""<!DOCTYPE html>
<html>
<head>
<title>%(title)s</title>
<link rel="stylesheet" type="text/css" href="css/styles.css">
</head>
<body>
<div id="wikid-content">
<aside id="wikid-sidebar">
... | 0.270769 | 0.042206 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('category', '0001_initial'),
]
operations = ... | saffrun/profile/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('category', '0001_initial'),
]
operations = ... | 0.566978 | 0.187802 |
import os
import silence_detector
import shutil
from helperutils.stemloader import StemLoader
stem_loader = StemLoader()
def find_contiguous_silences(sound, silence_threshold=-50.0, chunk_size=1000):
trim_ms = 0
silences = []
current_silence_start = None
while trim_ms < len(sound):
if sound[... | silencio/silence_cutter.py | import os
import silence_detector
import shutil
from helperutils.stemloader import StemLoader
stem_loader = StemLoader()
def find_contiguous_silences(sound, silence_threshold=-50.0, chunk_size=1000):
trim_ms = 0
silences = []
current_silence_start = None
while trim_ms < len(sound):
if sound[... | 0.303835 | 0.110856 |
import time
from handover.libs.mininet.log import setLogLevel, info
from handover.libs.mininet.net import Containernet
from handover.conf import *
from handover.libs.mininet.node import OVSSwitch
from handover.libs.mininet.node import RemoteController
CAPTURE_PACKETS = 0
def build_topology(state_transfer_duration=... | handover/containernet_setup.py | import time
from handover.libs.mininet.log import setLogLevel, info
from handover.libs.mininet.net import Containernet
from handover.conf import *
from handover.libs.mininet.node import OVSSwitch
from handover.libs.mininet.node import RemoteController
CAPTURE_PACKETS = 0
def build_topology(state_transfer_duration=... | 0.337531 | 0.061876 |
import time
import json
class DummyVolatileStore(object):
"""
This is a dummy volatile store that makes use of a local json file
"""
_path = '/tmp/dummyvolatile.json'
_storage = {}
_timeout = {}
@staticmethod
def clean():
"""
Empties the store
"""
impor... | ovs/extensions/storage/volatile/dummystore.py | import time
import json
class DummyVolatileStore(object):
"""
This is a dummy volatile store that makes use of a local json file
"""
_path = '/tmp/dummyvolatile.json'
_storage = {}
_timeout = {}
@staticmethod
def clean():
"""
Empties the store
"""
impor... | 0.399577 | 0.26789 |
import os
import requests
from datetime import datetime, timedelta
from time import sleep
from api.mongo import get_database
DISCORD_TOKEN = os.getenv('DISCORD_TOKEN')
DISCORD_CHANNEL_ID = os.getenv('DISCORD_CHANNEL_ID')
DISCORD_API_BASE_URL = os.getenv('DISCORD_API_BASE_URL') or 'https://discord.com/api'
DISCORD_MESS... | api/discord.py | import os
import requests
from datetime import datetime, timedelta
from time import sleep
from api.mongo import get_database
DISCORD_TOKEN = os.getenv('DISCORD_TOKEN')
DISCORD_CHANNEL_ID = os.getenv('DISCORD_CHANNEL_ID')
DISCORD_API_BASE_URL = os.getenv('DISCORD_API_BASE_URL') or 'https://discord.com/api'
DISCORD_MESS... | 0.27914 | 0.145025 |
import json
import os
from datetime import datetime, time, timedelta
from typing import List, Optional, Union
import yaml
from pydantic import BaseModel, root_validator, validator
from pacsanini.convert import datetime2str, str2datetime
from pacsanini.models import DicomNode, QueryLevel, StorageSortKey
from pacsani... | src/pacsanini/config.py | import json
import os
from datetime import datetime, time, timedelta
from typing import List, Optional, Union
import yaml
from pydantic import BaseModel, root_validator, validator
from pacsanini.convert import datetime2str, str2datetime
from pacsanini.models import DicomNode, QueryLevel, StorageSortKey
from pacsani... | 0.872116 | 0.369343 |
from nflows import transforms, distributions, flows
class SphereCEFlow(flows.InjectiveFlow):
def __init__(self):
n = 3
m = 2
conf_embedding = transforms.CompositeTransform([
transforms.ConformalScaleShift(n, m),
transforms.Orthogonal(n),
transforms.Spec... | nflows/cef_models.py | from nflows import transforms, distributions, flows
class SphereCEFlow(flows.InjectiveFlow):
def __init__(self):
n = 3
m = 2
conf_embedding = transforms.CompositeTransform([
transforms.ConformalScaleShift(n, m),
transforms.Orthogonal(n),
transforms.Spec... | 0.939345 | 0.582877 |
import argparse
import os
from os.path import abspath, dirname, exists, join
from shutil import rmtree
from subprocess import call
from tempfile import mkdtemp
REPO_ROOT = dirname(dirname(abspath(__file__)))
TEMPLATE_PATH = join(REPO_ROOT, 'project_template')
DEV_SITE_NAME = 'dev_site'
DEV_SITE_PATH = join(REPO_ROOT,... | scripts/dev_site.py | import argparse
import os
from os.path import abspath, dirname, exists, join
from shutil import rmtree
from subprocess import call
from tempfile import mkdtemp
REPO_ROOT = dirname(dirname(abspath(__file__)))
TEMPLATE_PATH = join(REPO_ROOT, 'project_template')
DEV_SITE_NAME = 'dev_site'
DEV_SITE_PATH = join(REPO_ROOT,... | 0.117167 | 0.071884 |
from __future__ import print_function
import sys
# Uses GNU readline on UNIX-like operating systems, pyreadline on Windows.
import readline
import pinject
class SimplePrompt(object):
@pinject.copy_args_to_internal_fields
def __init__(self, prompt_for_line, set_completions):
pass
def __call__(sel... | lsf_ibutils/ibsub/input.py | from __future__ import print_function
import sys
# Uses GNU readline on UNIX-like operating systems, pyreadline on Windows.
import readline
import pinject
class SimplePrompt(object):
@pinject.copy_args_to_internal_fields
def __init__(self, prompt_for_line, set_completions):
pass
def __call__(sel... | 0.498047 | 0.221983 |
from pyspark.sql import SparkSession
from pyspark import SparkConf
from pyspark.sql.types import *
from pyspark.sql.functions import count, when
from pyspark.ml.feature import RegexTokenizer, CountVectorizer, IDF
#################################################
# spark config
#############################... | preproc_in_Spark/NYT_prepare_corpus.py | from pyspark.sql import SparkSession
from pyspark import SparkConf
from pyspark.sql.types import *
from pyspark.sql.functions import count, when
from pyspark.ml.feature import RegexTokenizer, CountVectorizer, IDF
#################################################
# spark config
#############################... | 0.47171 | 0.240084 |
from unittest import TestCase
from ddt import ddt, data
from pyleecan.Classes.Arc1 import Arc1
from pyleecan.Methods.Geometry.Arc1.check import PointArc1Error, RadiusArc1Error
from pyleecan.Methods.Geometry.Arc1.discretize import NbPointArc1DError
from numpy import pi, exp, sqrt, array
# For AlmostEqual
DELTA = 1e... | Tests/Methods/Geometry/test_Arc1_meth.py | from unittest import TestCase
from ddt import ddt, data
from pyleecan.Classes.Arc1 import Arc1
from pyleecan.Methods.Geometry.Arc1.check import PointArc1Error, RadiusArc1Error
from pyleecan.Methods.Geometry.Arc1.discretize import NbPointArc1DError
from numpy import pi, exp, sqrt, array
# For AlmostEqual
DELTA = 1e... | 0.419648 | 0.557544 |
from datetime import datetime, timedelta
import pandas as pd
import numpy as np
import src.variables as var
pd.set_option('display.max_rows', 1000)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
class CalculateStrengthsTime:
def __init__(self, year):
self.year = year
... | src/d_create_strengths_on_time.py | from datetime import datetime, timedelta
import pandas as pd
import numpy as np
import src.variables as var
pd.set_option('display.max_rows', 1000)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
class CalculateStrengthsTime:
def __init__(self, year):
self.year = year
... | 0.681515 | 0.252398 |
__all__ = ['SEED', 'auto_assign', 'HypsterBase', 'HpExpression', 'HYPSTER_TYPES', 'SubExpression', 'AddExpression',
'MulExpression', 'DivExpression', 'PowExpression', 'set_init_name', 'HpInt', 'HpFloat', 'HpFunc',
'HpCategorical', 'HpBool', 'HpToggle', 'HpVarLenList', 'HpIterable', 'list_to_tuple... | hypster/oo_hp.py |
__all__ = ['SEED', 'auto_assign', 'HypsterBase', 'HpExpression', 'HYPSTER_TYPES', 'SubExpression', 'AddExpression',
'MulExpression', 'DivExpression', 'PowExpression', 'set_init_name', 'HpInt', 'HpFloat', 'HpFunc',
'HpCategorical', 'HpBool', 'HpToggle', 'HpVarLenList', 'HpIterable', 'list_to_tuple... | 0.325735 | 0.24389 |
import random
import unittest
import os
import pprint
import requests
from serpapi import GoogleSearch
class TestSearchApi(unittest.TestCase):
def setUp(self):
GoogleSearch.SERP_API_KEY = os.getenv("API_KEY", "demo")
@unittest.skipIf((os.getenv("API_KEY") == None), "no api_key provided")
def test_paginate(... | tests/test_google_search.py | import random
import unittest
import os
import pprint
import requests
from serpapi import GoogleSearch
class TestSearchApi(unittest.TestCase):
def setUp(self):
GoogleSearch.SERP_API_KEY = os.getenv("API_KEY", "demo")
@unittest.skipIf((os.getenv("API_KEY") == None), "no api_key provided")
def test_paginate(... | 0.216012 | 0.203826 |
import os
import numpy as np
from tqdm import tqdm
import torch
import librosa
import warnings
warnings.filterwarnings("ignore")
def audio_to_mel_and_temp(audio):
y, sr = librosa.load(audio, sr=22050)
S = librosa.feature.melspectrogram(y=y, sr=22050)
oenv = librosa.onset.onset_s... | feature_extraction.py | import os
import numpy as np
from tqdm import tqdm
import torch
import librosa
import warnings
warnings.filterwarnings("ignore")
def audio_to_mel_and_temp(audio):
y, sr = librosa.load(audio, sr=22050)
S = librosa.feature.melspectrogram(y=y, sr=22050)
oenv = librosa.onset.onset_s... | 0.2359 | 0.312069 |
from typing import List, Optional
import torch
class AddFeatsByKeys(object):
"""This transform takes a list of attributes names and if allowed, add them to x
Example:
Before calling "AddFeatsByKeys", if data.x was empty
- transform: AddFeatsByKeys
params:
list_add_to_x:... | src/core/transforms.py | from typing import List, Optional
import torch
class AddFeatsByKeys(object):
"""This transform takes a list of attributes names and if allowed, add them to x
Example:
Before calling "AddFeatsByKeys", if data.x was empty
- transform: AddFeatsByKeys
params:
list_add_to_x:... | 0.910015 | 0.658143 |
import os
from pathlib import Path
import pandas as pd
from autogluon.tabular import TabularPredictor
from pytorch_widedeep.utils import LabelEncoder
from sklearn.model_selection import train_test_split
SEED = 42
if __name__ == '__main__':
ROOTDIR = Path('/home/wenqi-ao/userdata/workdirs/automl_benchmark')
P... | examples/automlbechmark/run_experiments/adult/adult_groupby.py | import os
from pathlib import Path
import pandas as pd
from autogluon.tabular import TabularPredictor
from pytorch_widedeep.utils import LabelEncoder
from sklearn.model_selection import train_test_split
SEED = 42
if __name__ == '__main__':
ROOTDIR = Path('/home/wenqi-ao/userdata/workdirs/automl_benchmark')
P... | 0.357343 | 0.300079 |
import re
import os
import sys
import logging
from pathlib import Path
from functools import wraps
from tempfile import TemporaryDirectory, TemporaryFile
import unittest
import asyncio
import numpy as np
from numpy.testing import assert_equal
from aiohttp.web import (
Application,
AppRunner,
TCPSite,
... | aaclient/test/test_aa.py |
import re
import os
import sys
import logging
from pathlib import Path
from functools import wraps
from tempfile import TemporaryDirectory, TemporaryFile
import unittest
import asyncio
import numpy as np
from numpy.testing import assert_equal
from aiohttp.web import (
Application,
AppRunner,
TCPSite,
... | 0.250638 | 0.138958 |
import os
import h5py
import numpy as np
from BackEnd.CNN_retrieval.extract_cnn_vgg16_keras import VGGNet
'''
ap = argparse.ArgumentParser()
ap.add_argument("-database", required=True, help="Path to database which contains images to be indexed")
ap.add_argument("-index", required=True, help="Name of index file")
arg... | Serveur_CNN/BackEnd/CNN_retrieval/index.py | import os
import h5py
import numpy as np
from BackEnd.CNN_retrieval.extract_cnn_vgg16_keras import VGGNet
'''
ap = argparse.ArgumentParser()
ap.add_argument("-database", required=True, help="Path to database which contains images to be indexed")
ap.add_argument("-index", required=True, help="Name of index file")
arg... | 0.375134 | 0.14685 |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
plt.style.use('seaborn-darkgrid')
import argparse
import csv
import os
import json
import sys
import pickle
import numpy as np
import pandas as pd
from os.path import join
def plot_compare_runs(log_dir='log/random/train', run_ids=[0,1], keys=['eprew1... | train_procgen/plotting/plot_utils.py | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
plt.style.use('seaborn-darkgrid')
import argparse
import csv
import os
import json
import sys
import pickle
import numpy as np
import pandas as pd
from os.path import join
def plot_compare_runs(log_dir='log/random/train', run_ids=[0,1], keys=['eprew1... | 0.217836 | 0.413181 |
import os
import numpy as np
import pandas as pd
import csv
from pydub import AudioSegment
import scipy.io.wavfile as wav
def opensmile_executable(data, baby_id, classes, args):
"""
Generate a text file executable on shell to compute multiple times opensmile features.
If option labels_creation == True, it ... | vocSpace_utils.py | import os
import numpy as np
import pandas as pd
import csv
from pydub import AudioSegment
import scipy.io.wavfile as wav
def opensmile_executable(data, baby_id, classes, args):
"""
Generate a text file executable on shell to compute multiple times opensmile features.
If option labels_creation == True, it ... | 0.195902 | 0.15428 |
from django import forms
from rekruter.models import RotationPlan, RotationStep, RotationSubStep
from core.snippets import flare
import datetime
class RotationPlanForm(forms.ModelForm):
title = forms.CharField(max_length=150, required=True)
class Meta:
model = RotationPlan
fields = ("title", ... | crop_rotator/rotator/forms.py | from django import forms
from rekruter.models import RotationPlan, RotationStep, RotationSubStep
from core.snippets import flare
import datetime
class RotationPlanForm(forms.ModelForm):
title = forms.CharField(max_length=150, required=True)
class Meta:
model = RotationPlan
fields = ("title", ... | 0.617513 | 0.21215 |
angular_quanta = {
"S": (0, 0, 0),
"Px": (1, 0, 0),
"Py": (0, 1, 0),
"Pz": (0, 0, 1),
"Dx2": (2, 0, 0),
"Dy2": (0, 2, 0),
"Dz2": (0, 0, 2),
"Dxy": (1, 1, 0),
"Dyz": (0, 1, 1),
"Dzx": (1, 0, 1),
}
elements = {
"H": (1, "Hydrogen"),
"He": (2, "Helium"),
... | playground/utils.py | angular_quanta = {
"S": (0, 0, 0),
"Px": (1, 0, 0),
"Py": (0, 1, 0),
"Pz": (0, 0, 1),
"Dx2": (2, 0, 0),
"Dy2": (0, 2, 0),
"Dz2": (0, 0, 2),
"Dxy": (1, 1, 0),
"Dyz": (0, 1, 1),
"Dzx": (1, 0, 1),
}
elements = {
"H": (1, "Hydrogen"),
"He": (2, "Helium"),
... | 0.498535 | 0.51379 |
from typing import Tuple
import torch
from torch import nn
from torch.distributions.categorical import Categorical
from torch.nn import functional as F
from networks.layers import CNNEncoder
class PPONet(nn.Module):
def __init__(
self,
width: int,
height: int,
num_frames: int,
... | networks/ppo_networks.py | from typing import Tuple
import torch
from torch import nn
from torch.distributions.categorical import Categorical
from torch.nn import functional as F
from networks.layers import CNNEncoder
class PPONet(nn.Module):
def __init__(
self,
width: int,
height: int,
num_frames: int,
... | 0.970937 | 0.489259 |
from dataclasses import dataclass
@dataclass
class State:
a: int
b: int
offset: int
def half(self, register, *_):
if register == "a":
self.a //= 2
elif register == "b":
self.b //= 2
self.offset += 1
def tripple(self, register, *_):
if regis... | aoc_cas/aoc2015/day23.py | from dataclasses import dataclass
@dataclass
class State:
a: int
b: int
offset: int
def half(self, register, *_):
if register == "a":
self.a //= 2
elif register == "b":
self.b //= 2
self.offset += 1
def tripple(self, register, *_):
if regis... | 0.578924 | 0.42919 |
from typing import TYPE_CHECKING, Dict, Any, Set
from bag.layout.routing.base import TrackManager, TrackID
from abs_templates_ec.laygo.core import LaygoBase
if TYPE_CHECKING:
from bag.layout.template import TemplateDB
class LaygoDummy(LaygoBase):
"""A dummy laygo cell to test AnalogBase-LaygoBase pitch mat... | serdes_ec/layout/laygo/misc.py | from typing import TYPE_CHECKING, Dict, Any, Set
from bag.layout.routing.base import TrackManager, TrackID
from abs_templates_ec.laygo.core import LaygoBase
if TYPE_CHECKING:
from bag.layout.template import TemplateDB
class LaygoDummy(LaygoBase):
"""A dummy laygo cell to test AnalogBase-LaygoBase pitch mat... | 0.803444 | 0.228964 |
from tkinter import *
def click(arg):
text = display.get() + str(arg)
display.delete(0,END)
display.insert(0,text)
def evaluate():
ans = eval(display.get())
display.delete(0,END)
display.insert(0,ans)
def clear():
display.delete(0,END)
# * Creating the root
root = Tk()
root.title('Calcul... | calculator.py | from tkinter import *
def click(arg):
text = display.get() + str(arg)
display.delete(0,END)
display.insert(0,text)
def evaluate():
ans = eval(display.get())
display.delete(0,END)
display.insert(0,ans)
def clear():
display.delete(0,END)
# * Creating the root
root = Tk()
root.title('Calcul... | 0.336876 | 0.074064 |
import yfinance as yf
import datetime as dt
import pandas as pd
import numpy as np
from pandas.plotting import table
import matplotlib.pyplot as plt
from scipy.stats import levene
# Download historical data for S&P 500
ticker = "^GSPC"
SnP = yf.download(ticker, start="1991-02-01", end="2018-06-01")
SnP = SnP.drop(['Op... | Sess3_Project.py | import yfinance as yf
import datetime as dt
import pandas as pd
import numpy as np
from pandas.plotting import table
import matplotlib.pyplot as plt
from scipy.stats import levene
# Download historical data for S&P 500
ticker = "^GSPC"
SnP = yf.download(ticker, start="1991-02-01", end="2018-06-01")
SnP = SnP.drop(['Op... | 0.612194 | 0.763263 |
from collections import defaultdict
def parse_line(line: str) -> str:
state = True if line.startswith("on") else False
coords = line[3 if state else 4:].split(",")
return [state] + [(int(p[0]), int(p[1])) for p in (pos[2:].split("..") for pos in coords)]
def read_file(filename: str = "input.txt") -> defa... | 2021/22/code.py |
from collections import defaultdict
def parse_line(line: str) -> str:
state = True if line.startswith("on") else False
coords = line[3 if state else 4:].split(",")
return [state] + [(int(p[0]), int(p[1])) for p in (pos[2:].split("..") for pos in coords)]
def read_file(filename: str = "input.txt") -> defa... | 0.582966 | 0.519582 |
# DRF
from rest_framework import serializers
from rest_framework.validators import UniqueValidator
# Models
from root.Acme.models import Product, Category
class ProductModelSerializer(serializers.ModelSerializer):
"""Acme products model serializer."""
class Meta:
"""Meta class"""
model = P... | root/Acme/api/serializers/Product.py |
# DRF
from rest_framework import serializers
from rest_framework.validators import UniqueValidator
# Models
from root.Acme.models import Product, Category
class ProductModelSerializer(serializers.ModelSerializer):
"""Acme products model serializer."""
class Meta:
"""Meta class"""
model = P... | 0.772101 | 0.210097 |
import os
import yaml
import arxiv
import smtplib, ssl
from pathlib import Path
from datetime import date
today = date.today()
def build_query(domains, keyword):
query = '('
for i, domain in enumerate(domains):
query += f'cat:{domain}'
if i != len(domains) - 1:
query += ' OR '
... | run.py | import os
import yaml
import arxiv
import smtplib, ssl
from pathlib import Path
from datetime import date
today = date.today()
def build_query(domains, keyword):
query = '('
for i, domain in enumerate(domains):
query += f'cat:{domain}'
if i != len(domains) - 1:
query += ' OR '
... | 0.259826 | 0.09645 |
import unicodedata
import json
import string
import tensorflow as tf
import tflearn
from keras.utils import to_categorical
import glob
import os
from encode import *
import numpy as np
import json
all_letters = string.ascii_letters + " .,;'"
n_letters = len(all_letters)
n_class = 9
def findFiles(path): return glob.glo... | intentionClassifier/data.py | import unicodedata
import json
import string
import tensorflow as tf
import tflearn
from keras.utils import to_categorical
import glob
import os
from encode import *
import numpy as np
import json
all_letters = string.ascii_letters + " .,;'"
n_letters = len(all_letters)
n_class = 9
def findFiles(path): return glob.glo... | 0.339061 | 0.360067 |
import uuid
from openstack import resource2
from openstack.tests.functional import base
def auto_create_private_zone(conn, name, router_id, router_region):
_zone = {
"name": name,
"description": "SDK unittest",
"zone_type": "private",
"email": "<EMAIL>",
"ttl": 500,
... | openstack/tests/functional/dns/v2/test_zone.py | import uuid
from openstack import resource2
from openstack.tests.functional import base
def auto_create_private_zone(conn, name, router_id, router_region):
_zone = {
"name": name,
"description": "SDK unittest",
"zone_type": "private",
"email": "<EMAIL>",
"ttl": 500,
... | 0.489992 | 0.266483 |
# Form implementation generated from reading ui file 'main2.ui'
#
# Created by: PyQt5 UI code generator 5.9.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName... | .archive/main2.py |
# Form implementation generated from reading ui file 'main2.ui'
#
# Created by: PyQt5 UI code generator 5.9.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName... | 0.410993 | 0.042226 |
import uuid
import os
import tempfile
import decimal
import datetime
from multiprocessing import Process
from ScannerResult import ScannerResult
from CSVFileUtils import CSVFileUtil
from MailSender import MailHelper
from SynScannerUtil import SyncScannerUtil
from loguru import logger
from ConfigReader import... | src/Processor.py | import uuid
import os
import tempfile
import decimal
import datetime
from multiprocessing import Process
from ScannerResult import ScannerResult
from CSVFileUtils import CSVFileUtil
from MailSender import MailHelper
from SynScannerUtil import SyncScannerUtil
from loguru import logger
from ConfigReader import... | 0.099317 | 0.030329 |
from django.db import models
from django.contrib.auth.models import User
class AbstractPost(models.Model):
"""
The abstract model that defines the common fields for all subclasses
"""
text = models.TextField()
created = models.DateTimeField(auto_now_add=True)
modified = models.DateTimeField(au... | web/models.py | from django.db import models
from django.contrib.auth.models import User
class AbstractPost(models.Model):
"""
The abstract model that defines the common fields for all subclasses
"""
text = models.TextField()
created = models.DateTimeField(auto_now_add=True)
modified = models.DateTimeField(au... | 0.5144 | 0.34065 |
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
from podostemaceous.constants import u
from podostemaceous.molecule import VSSMolecule
from podostemaceous.fit_dsmc_vss import VSS_model_from_eta_and_D11
# borrowed from my lithium data package
def eta1_Bouledroua_Table_I(TK):
... | examples/fit_VSS_model.py | import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
from podostemaceous.constants import u
from podostemaceous.molecule import VSSMolecule
from podostemaceous.fit_dsmc_vss import VSS_model_from_eta_and_D11
# borrowed from my lithium data package
def eta1_Bouledroua_Table_I(TK):
... | 0.83104 | 0.667866 |
from datetime import datetime
from typing import Tuple, Optional, List
import gssutils
import pandas
import re
import requests
from gssutils import Excel
DATASET_URL = 'https://www.ons.gov.uk/businessindustryandtrade/internationaltrade/datasets/uktradeinservicesservicetypebypartnercountrynonseasonallyadjusted'
def... | dataflow/ons_scripts/uk_trade_in_services_service_type_by_partner_country_non_seasonally_adjusted/main.py | from datetime import datetime
from typing import Tuple, Optional, List
import gssutils
import pandas
import re
import requests
from gssutils import Excel
DATASET_URL = 'https://www.ons.gov.uk/businessindustryandtrade/internationaltrade/datasets/uktradeinservicesservicetypebypartnercountrynonseasonallyadjusted'
def... | 0.756807 | 0.372905 |
from tornado.escape import json_encode
from .socket import SocketServer
from .event import (SocketConnectEvent, SocketDisconnectEvent,
SocketDataEvent)
class EventServer(SocketServer):
"""Threaded WebSocket server for handling socket requests.
Takes socket requests and queues SocketEvents... | __init__.py | from tornado.escape import json_encode
from .socket import SocketServer
from .event import (SocketConnectEvent, SocketDisconnectEvent,
SocketDataEvent)
class EventServer(SocketServer):
"""Threaded WebSocket server for handling socket requests.
Takes socket requests and queues SocketEvents... | 0.568056 | 0.059784 |
import csv
import re
import subprocess
import urllib.parse as urllib
import editdistance as levenshtein
import numpy as np
import tldextract as tld
def hamming_distance(s1, s2):
return len(list(filter(lambda x: ord(x[0]) ^ ord(x[1]), zip(s1, s2))))
def min_distances(url, N):
"""
Calculates the minimum ... | artefact/classifier/features_extractor.py | import csv
import re
import subprocess
import urllib.parse as urllib
import editdistance as levenshtein
import numpy as np
import tldextract as tld
def hamming_distance(s1, s2):
return len(list(filter(lambda x: ord(x[0]) ^ ord(x[1]), zip(s1, s2))))
def min_distances(url, N):
"""
Calculates the minimum ... | 0.535098 | 0.478773 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.patches import Rectangle
def pixelated_text(dpi=100):
fig = Figure(figsize=(1, 1), dpi=dpi)
canvas, ax = FigureCanvasAgg(fig), fig.gca()
ax.te... | code/anatomy/raster-vector.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.patches import Rectangle
def pixelated_text(dpi=100):
fig = Figure(figsize=(1, 1), dpi=dpi)
canvas, ax = FigureCanvasAgg(fig), fig.gca()
ax.te... | 0.719581 | 0.657387 |
import argparse
import os
import magic
from pycti import OpenCTIApiClient
API_URL = "API_URL_HERE"
API_TOKEN = "API_TOKEN_HERE"
# OpenCTI instantiation
OPENCTI_API_CLIENT = OpenCTIApiClient(API_URL, API_TOKEN)
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"-f", "--file", req... | examples/upload_artifacts.py | import argparse
import os
import magic
from pycti import OpenCTIApiClient
API_URL = "API_URL_HERE"
API_TOKEN = "API_TOKEN_HERE"
# OpenCTI instantiation
OPENCTI_API_CLIENT = OpenCTIApiClient(API_URL, API_TOKEN)
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"-f", "--file", req... | 0.447219 | 0.103794 |
import os, shutil, json, time, datetime, thread, copy, atexit, collections, fcntl
import logging, logging.config, logstash
import psycopg2
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from io import BlockingIOError
from functools import wraps
from flask import Flask, request, Response
from flask_restful i... | scripts/globusmonitor/globus_monitor_service.py | import os, shutil, json, time, datetime, thread, copy, atexit, collections, fcntl
import logging, logging.config, logstash
import psycopg2
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from io import BlockingIOError
from functools import wraps
from flask import Flask, request, Response
from flask_restful i... | 0.448185 | 0.09947 |
import argparse
import json
import textwrap
import os
import sys
import shlex
from botocore.exceptions import UnauthorizedSSOTokenError
from botocore.session import Session
__version__ = '0.5.0'
DESCRIPTION ="""\
Get AWS credentials from a profile to inject into other programs.
If you need credentials from AWS SSO... | aws_export_credentials/aws_export_credentials.py |
import argparse
import json
import textwrap
import os
import sys
import shlex
from botocore.exceptions import UnauthorizedSSOTokenError
from botocore.session import Session
__version__ = '0.5.0'
DESCRIPTION ="""\
Get AWS credentials from a profile to inject into other programs.
If you need credentials from AWS SSO... | 0.211498 | 0.076064 |
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Explanation',
fields=[
('id', models.AutoField... | api/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Explanation',
fields=[
('id', models.AutoField... | 0.587115 | 0.205515 |