code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from ...rl import Policy
import warnings
import numpy as np
class Heading(Policy):
"""ePuck policy with the heading as action.
Due to historical reasons, it is up to the implementation of the
robot to interprete the action (i.e. if it's considered relative
or absolute).
Note that since We... | HDPy/epuck/policy/policies.py | from ...rl import Policy
import warnings
import numpy as np
class Heading(Policy):
"""ePuck policy with the heading as action.
Due to historical reasons, it is up to the implementation of the
robot to interprete the action (i.e. if it's considered relative
or absolute).
Note that since We... | 0.783492 | 0.500549 |
import os, sys
import subprocess, shlex
import lmdb
import multiprocessing as mp
import numpy as np
def read_lmdb(args):
lmdb_path, delete = args[:]
env = lmdb.open(lmdb_path, readahead=False, readonly=True, writemap=False, lock=False)
num_samples = env.stat()['entries'] - 4 ## TODO: remove hard-coded # of... | scripts/summit_scripts/tally_lmdb.py | import os, sys
import subprocess, shlex
import lmdb
import multiprocessing as mp
import numpy as np
def read_lmdb(args):
lmdb_path, delete = args[:]
env = lmdb.open(lmdb_path, readahead=False, readonly=True, writemap=False, lock=False)
num_samples = env.stat()['entries'] - 4 ## TODO: remove hard-coded # of... | 0.104924 | 0.199113 |
import json
import os
import threading
import boto3
from aws_lambda_powertools import Logger, Metrics, Tracer
from boto3.dynamodb.conditions import Key
from shared import generate_ttl, get_cart_id, get_headers, handle_decimal_type
logger = Logger()
# tracer = Tracer()
metrics = Metrics()
dynamodb = boto3.resource("... | backend/shopping-cart-service/migrate_cart.py | import json
import os
import threading
import boto3
from aws_lambda_powertools import Logger, Metrics, Tracer
from boto3.dynamodb.conditions import Key
from shared import generate_ttl, get_cart_id, get_headers, handle_decimal_type
logger = Logger()
# tracer = Tracer()
metrics = Metrics()
dynamodb = boto3.resource("... | 0.410047 | 0.131842 |
import hashlib
import os
import sys
import msgpack
from struct import pack
addressChecksumLength = 4
def int64ToBinary(i):
# TODO: error handling
# >q means big endian, long long (int64)
return pack(">q", i)
def intToBytes(i):
return bytes([i])
def sha256(data):
return hashData(... | pychain/util.py | import hashlib
import os
import sys
import msgpack
from struct import pack
addressChecksumLength = 4
def int64ToBinary(i):
# TODO: error handling
# >q means big endian, long long (int64)
return pack(">q", i)
def intToBytes(i):
return bytes([i])
def sha256(data):
return hashData(... | 0.161188 | 0.138287 |
import numpy as np
### Minecraft Notations
malmo_object_to_index = {
# Basics
'air' : 1,
'wooden_door' : 2,
# 'wool' : 3, wall : 4,
'lever' : 5,
# 'ball': 6,'box' : 7,
# 'goal': 8,
'fire' : ... | gym_minigrid/index_mapping.py | import numpy as np
### Minecraft Notations
malmo_object_to_index = {
# Basics
'air' : 1,
'wooden_door' : 2,
# 'wool' : 3, wall : 4,
'lever' : 5,
# 'ball': 6,'box' : 7,
# 'goal': 8,
'fire' : ... | 0.314366 | 0.212865 |
import numpy as np
class Point(object):
def __init__(self, x=0, y=0):
self.x = x
self.y = y
class Line(object): # 直线由两个点组成
def __init__(self, p1=Point(0, 0), p2=Point(2, 2)):
self.p1 = p1
self.p2 = p2
def distance_point_to_line(self, current_line, mainline):
an... | find_angle.py |
import numpy as np
class Point(object):
def __init__(self, x=0, y=0):
self.x = x
self.y = y
class Line(object): # 直线由两个点组成
def __init__(self, p1=Point(0, 0), p2=Point(2, 2)):
self.p1 = p1
self.p2 = p2
def distance_point_to_line(self, current_line, mainline):
an... | 0.311113 | 0.287115 |
from mongoengine import (
Document, EmbeddedDocument, DynamicEmbeddedDocument, DynamicDocument,
StringField, IntField, BooleanField, DateTimeField,
ListField, DictField,
EmbeddedDocumentField
)
class Crontab(EmbeddedDocument):
minute = StringField(default='*', required=True, description='CRON minu... | graphene_mongoengine/tests/models.py | from mongoengine import (
Document, EmbeddedDocument, DynamicEmbeddedDocument, DynamicDocument,
StringField, IntField, BooleanField, DateTimeField,
ListField, DictField,
EmbeddedDocumentField
)
class Crontab(EmbeddedDocument):
minute = StringField(default='*', required=True, description='CRON minu... | 0.725746 | 0.235086 |
from typing import List
import torch
import torch.nn.functional as f
from einops import rearrange
from torch import nn, einsum, Tensor
from torch.nn import Softmax
class Residual(nn.Module):
"""Define a residual block given a Pytorch Module, used for the skip connection"""
def __init__(self, fn: nn.Module):
... | src/lit_saint/modules.py | from typing import List
import torch
import torch.nn.functional as f
from einops import rearrange
from torch import nn, einsum, Tensor
from torch.nn import Softmax
class Residual(nn.Module):
"""Define a residual block given a Pytorch Module, used for the skip connection"""
def __init__(self, fn: nn.Module):
... | 0.963916 | 0.685483 |
import logging
import socket
import time
from .client_errors import ClientTimeoutError
class TcpClient:
"""A tcp client
Attributes
----------
host : str
The ip address of the tcp server.
port : int
The port of the tcp server.
auto_reconnect : bool
If true, a reconnect... | src/pyTCP/client.py | import logging
import socket
import time
from .client_errors import ClientTimeoutError
class TcpClient:
"""A tcp client
Attributes
----------
host : str
The ip address of the tcp server.
port : int
The port of the tcp server.
auto_reconnect : bool
If true, a reconnect... | 0.821689 | 0.285901 |
from app import create_app
from app.models import db
from config.dev import Config
from app.models.admin import Admin, AdminTypeEnum
from app.models.info import Info
from werkzeug.security import generate_password_hash
import unittest
import json
app = create_app(Config)
class BaseTestCase(unittest.TestCase):
d... | Server/test/__init__.py | from app import create_app
from app.models import db
from config.dev import Config
from app.models.admin import Admin, AdminTypeEnum
from app.models.info import Info
from werkzeug.security import generate_password_hash
import unittest
import json
app = create_app(Config)
class BaseTestCase(unittest.TestCase):
d... | 0.532425 | 0.101545 |
import matplotlib.pyplot as plt
import numpy as np
from units import conv_unit
class VLEBinaryMixturePlot:
def __init__(self, diagtype, var, x, y, varunit, title, plottype="both"):
self.diagtype = diagtype
self.var = var
self.x = x
self.y = y
self.varunit = varunit
... | Sindri/VLEBinaryDiagrams.py | import matplotlib.pyplot as plt
import numpy as np
from units import conv_unit
class VLEBinaryMixturePlot:
def __init__(self, diagtype, var, x, y, varunit, title, plottype="both"):
self.diagtype = diagtype
self.var = var
self.x = x
self.y = y
self.varunit = varunit
... | 0.499756 | 0.408985 |
from .exceptions import PilosaError
from .internal import public_pb2 as internal
__all__ = ("RowResult", "CountResultItem", "QueryResult", "ColumnItem", "QueryResponse")
QUERYRESULT_NONE, QUERYRESULT_ROW, QUERYRESULT_PAIRS, \
QUERYRESULT_VAL_COUNT, QUERYRESULT_INT, QUERYRESULT_BOOL, \
QUERYRESULT_ROW_IDS,\
QUERYRE... | pilosa/response.py |
from .exceptions import PilosaError
from .internal import public_pb2 as internal
__all__ = ("RowResult", "CountResultItem", "QueryResult", "ColumnItem", "QueryResponse")
QUERYRESULT_NONE, QUERYRESULT_ROW, QUERYRESULT_PAIRS, \
QUERYRESULT_VAL_COUNT, QUERYRESULT_INT, QUERYRESULT_BOOL, \
QUERYRESULT_ROW_IDS,\
QUERYRE... | 0.752559 | 0.216902 |
import math
from PIL import Image, ImageDraw
hex_map = {
0: '0',
1: '1',
2: '2',
3: '3',
4: '4',
5: '5',
6: '6',
7: '7',
8: '8',
9: '9',
10: 'a',
11: 'b',
12: 'c',
13: 'd',
14: 'e',
15: 'f',
}
def mm(pixels, dpi):
""" Return the length in millimet... | lcutil/util_image.py | import math
from PIL import Image, ImageDraw
hex_map = {
0: '0',
1: '1',
2: '2',
3: '3',
4: '4',
5: '5',
6: '6',
7: '7',
8: '8',
9: '9',
10: 'a',
11: 'b',
12: 'c',
13: 'd',
14: 'e',
15: 'f',
}
def mm(pixels, dpi):
""" Return the length in millimet... | 0.823257 | 0.816918 |
from onlinejudge_verify.online_submission.submissions import *
from requests import session
import requests
import mechanize
from selenium import webdriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By... | onlinejudge_verify/online_submission/judges.py | from onlinejudge_verify.online_submission.submissions import *
from requests import session
import requests
import mechanize
from selenium import webdriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By... | 0.413596 | 0.129871 |
import pytest
from anoncreds.protocol.issuer import Issuer
from anoncreds.protocol.repo.attributes_repo import AttributeRepoInMemory
from anoncreds.protocol.types import ClaimDefinition, ID
from anoncreds.protocol.wallet.issuer_wallet import IssuerWalletInMemory
from sovrin.anon_creds.sovrin_public_repo import SovrinP... | sovrin/test/anon_creds/test_public_repo.py | import pytest
from anoncreds.protocol.issuer import Issuer
from anoncreds.protocol.repo.attributes_repo import AttributeRepoInMemory
from anoncreds.protocol.types import ClaimDefinition, ID
from anoncreds.protocol.wallet.issuer_wallet import IssuerWalletInMemory
from sovrin.anon_creds.sovrin_public_repo import SovrinP... | 0.394318 | 0.322059 |
import items_setup as item_s
import shops_setup as shop_s
ARMOR = {
1000: "Shaved",
1100: "Receding",
1200: "Short",
1300: "Swept Back",
1400: "Ponytail",
1500: "Wild",
1600: "Parted Center",
1700: "Semi-Long",
1800: "Curly",
1900: "Bobbed",
2000: "Male 11",
2100: "Male 12",
2200: "Male 13",
... | item_lot_formatter.py | import items_setup as item_s
import shops_setup as shop_s
ARMOR = {
1000: "Shaved",
1100: "Receding",
1200: "Short",
1300: "Swept Back",
1400: "Ponytail",
1500: "Wild",
1600: "Parted Center",
1700: "Semi-Long",
1800: "Curly",
1900: "Bobbed",
2000: "Male 11",
2100: "Male 12",
2200: "Male 13",
... | 0.319121 | 0.513181 |
from __future__ import absolute_import
from __future__ import unicode_literals
import sys
import os
ROOT_DIR = os.getenv('PLASTICC_DIR')
WORK_DIR = os.path.join(ROOT_DIR, 'plasticc')
DATA_DIR = os.path.join(ROOT_DIR, 'plasticc_data')
sys.path.append(WORK_DIR)
import numpy as np
import ANTARES_object
import plasticc
i... | bin/make_rate_vs_redshift.py | from __future__ import absolute_import
from __future__ import unicode_literals
import sys
import os
ROOT_DIR = os.getenv('PLASTICC_DIR')
WORK_DIR = os.path.join(ROOT_DIR, 'plasticc')
DATA_DIR = os.path.join(ROOT_DIR, 'plasticc_data')
sys.path.append(WORK_DIR)
import numpy as np
import ANTARES_object
import plasticc
i... | 0.302597 | 0.142053 |
import json
from asyncio import sleep
from datetime import datetime
from itertools import chain
from pathlib import Path
import jsonpickle
from loguru import logger
from telethon import TelegramClient
from telethon.tl.functions.channels import CreateChannelRequest, ReadHistoryRequest
from telethon.tl.functions.message... | tgfeed/__main__.py | import json
from asyncio import sleep
from datetime import datetime
from itertools import chain
from pathlib import Path
import jsonpickle
from loguru import logger
from telethon import TelegramClient
from telethon.tl.functions.channels import CreateChannelRequest, ReadHistoryRequest
from telethon.tl.functions.message... | 0.453746 | 0.064772 |
import inspect
from functools import partial
from graphql import (
default_type_resolver,
get_introspection_query,
graphql,
graphql_sync,
introspection_types,
is_type,
print_schema,
GraphQLArgument,
GraphQLBoolean,
GraphQLEnumValue,
GraphQLField,
GraphQLFloat,
GraphQ... | graphene/types/schema.py | import inspect
from functools import partial
from graphql import (
default_type_resolver,
get_introspection_query,
graphql,
graphql_sync,
introspection_types,
is_type,
print_schema,
GraphQLArgument,
GraphQLBoolean,
GraphQLEnumValue,
GraphQLField,
GraphQLFloat,
GraphQ... | 0.685318 | 0.206014 |
import ctypes
from ctypes.wintypes import WPARAM, LPARAM, MSG
WH_GETMESSAGE = 3
hook_handle = None
hook_callback = None
def message_hook_func(code, wParam, lParam):
if hook_callback is not None:
msg = ctypes.cast(lParam, ctypes.POINTER(MSG))
hook_callback(msg[0].hWnd, msg[0].messag... | Data/Packages/IMESupport/imesupport/messagehook.py | import ctypes
from ctypes.wintypes import WPARAM, LPARAM, MSG
WH_GETMESSAGE = 3
hook_handle = None
hook_callback = None
def message_hook_func(code, wParam, lParam):
if hook_callback is not None:
msg = ctypes.cast(lParam, ctypes.POINTER(MSG))
hook_callback(msg[0].hWnd, msg[0].messag... | 0.360264 | 0.058212 |
import json, traceback
import os
import platform
import random
import sys
import aiofiles
import disnake
from disnake.ext import commands, tasks
from disnake.ext.commands import slash_command, user_command, message_command
from datetime import datetime
from keep_alive import keep_alive
os.system('clear')
if os.path.e... | main.py | import json, traceback
import os
import platform
import random
import sys
import aiofiles
import disnake
from disnake.ext import commands, tasks
from disnake.ext.commands import slash_command, user_command, message_command
from datetime import datetime
from keep_alive import keep_alive
os.system('clear')
if os.path.e... | 0.21767 | 0.130147 |
from torchvision.utils import make_grid
from PIL import Image
import torch
import shutil
import re
import cv2 as cv
import numpy as np
import os
from setting import INPUT_DIR, TRAIN_DIR
# 图像形态学的卷积核，可自定义或者使用api
kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (25, 25))
dCount = 6 # 膨胀次数
eCount = 1 # 腐蚀次数
# 图像预处... | aae_hash/utils.py | from torchvision.utils import make_grid
from PIL import Image
import torch
import shutil
import re
import cv2 as cv
import numpy as np
import os
from setting import INPUT_DIR, TRAIN_DIR
# 图像形态学的卷积核，可自定义或者使用api
kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (25, 25))
dCount = 6 # 膨胀次数
eCount = 1 # 腐蚀次数
# 图像预处... | 0.205256 | 0.183173 |
import argparse as argparse
import logging
from tempfile import TemporaryDirectory
from threading import Thread
import msgpack
import zmq
from dpu_utils.utils import RichPath, run_and_debug
from buglab.utils.logging import MetricProvider, configure_logging
from buglab.utils.msgpackutils import load_all_msgpack_l_gz
f... | buglab/controllers/detectortrainingdatabuffer.py | import argparse as argparse
import logging
from tempfile import TemporaryDirectory
from threading import Thread
import msgpack
import zmq
from dpu_utils.utils import RichPath, run_and_debug
from buglab.utils.logging import MetricProvider, configure_logging
from buglab.utils.msgpackutils import load_all_msgpack_l_gz
f... | 0.533884 | 0.118156 |
from text_utils.pronunciation.arpa_symbols import ALL_ARPA_INCL_STRESSES
from text_utils.pronunciation.ARPAToIPAMapper import (
__ARPABET_IPA_MAP, symbol_map_arpa_to_ipa, symbols_map_arpa_to_ipa,
symbols_remove_non_arpa_symbols)
def test_symbols_remove_non_arpa_symbols():
symbols = ('DH', 'IH0', 'S', ' ', '... | src/text_utils_tests/pronunciation/test_ARPAToIPAMapper.py | from text_utils.pronunciation.arpa_symbols import ALL_ARPA_INCL_STRESSES
from text_utils.pronunciation.ARPAToIPAMapper import (
__ARPABET_IPA_MAP, symbol_map_arpa_to_ipa, symbols_map_arpa_to_ipa,
symbols_remove_non_arpa_symbols)
def test_symbols_remove_non_arpa_symbols():
symbols = ('DH', 'IH0', 'S', ' ', '... | 0.643217 | 0.437103 |
import dsz, dsz.cmd, dsz.control
import ops, ops.pprint
import ops.data
import traceback, sys
from optparse import OptionParser
def monitorlogs(interval=300, classic=False, logname='', target=None, filters=[]):
logquerycmd = 'eventlogquery '
if classic:
logquerycmd += ' -classic '
elif (logname != ... | Leak #5 - Lost In Translation/windows/Resources/Ops/PyScripts/windows/eventlogs.py | import dsz, dsz.cmd, dsz.control
import ops, ops.pprint
import ops.data
import traceback, sys
from optparse import OptionParser
def monitorlogs(interval=300, classic=False, logname='', target=None, filters=[]):
logquerycmd = 'eventlogquery '
if classic:
logquerycmd += ' -classic '
elif (logname != ... | 0.14851 | 0.058292 |
from sys import stderr
from typing import List
class Registers:
def __init__(self, a: int, b: int, c: int, d: int):
self.a = a
self.b = b
self.c = c
self.d = d
def to_int(self, value: str) -> int:
result: int = 0
try:
result = int(v... | Communautaires/Micro assembly.py | from sys import stderr
from typing import List
class Registers:
def __init__(self, a: int, b: int, c: int, d: int):
self.a = a
self.b = b
self.c = c
self.d = d
def to_int(self, value: str) -> int:
result: int = 0
try:
result = int(v... | 0.239083 | 0.440951 |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function
import math
import pytest
import requests
import os
from astropy.coordinates import SkyCoord
import astropy.units as u
from astropy.table import Table
from astroquery.casda import Casda
DATA_FILES = {'CIRCLE': 'co... | astroquery/casda/tests/test_casda.py |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function
import math
import pytest
import requests
import os
from astropy.coordinates import SkyCoord
import astropy.units as u
from astropy.table import Table
from astroquery.casda import Casda
DATA_FILES = {'CIRCLE': 'co... | 0.848345 | 0.417271 |
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
# corner case handling:
# Empty list or list with one node just return itself
if head is None or head.next is None:
... | No_0024_Swap Nodes in Pairs/swap_nodes_in_pairs_node operation.py | class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
# corner case handling:
# Empty list or list with one node just return itself
if head is None or head.next is None:
... | 0.633977 | 0.47384 |
import numpy as np
import gym
from gym import wrappers
from gym.envs.registration import register
import matplotlib.pylab as plt
evaluate_v = []
def run_episode(env, policy, gamma = 1.0, render = False):
""" Runs an episode and return the total reward """
obs = env.reset()
total_reward = 0
step_idx = ... | MDP/frozenlake_policy_iteration_.py | import numpy as np
import gym
from gym import wrappers
from gym.envs.registration import register
import matplotlib.pylab as plt
evaluate_v = []
def run_episode(env, policy, gamma = 1.0, render = False):
""" Runs an episode and return the total reward """
obs = env.reset()
total_reward = 0
step_idx = ... | 0.746786 | 0.474327 |
import numpy as np
import torch
import re
from doc import Doc
alphabet = re.compile(r'^[a-zA-Z]+$')
from copy import copy
from collections import defaultdict
def build_graph(matrix):
graph = defaultdict(list)
for idx in range(0, len(matrix)):
for col in range(idx+1, len(matrix)):
graph[i... | source/text2kg/utils.py | import numpy as np
import torch
import re
from doc import Doc
alphabet = re.compile(r'^[a-zA-Z]+$')
from copy import copy
from collections import defaultdict
def build_graph(matrix):
graph = defaultdict(list)
for idx in range(0, len(matrix)):
for col in range(idx+1, len(matrix)):
graph[i... | 0.374219 | 0.245944 |
import re
'''
A simple PDN parser.
PDN (Portable Draughts Notation) is computer-processible format for recording draughts
games, both the moves and related data.
This module is based on features of others parser modules (such json and yaml).
The basic usage::
import pdn
pdn_text = open('sijbrands.pdn').r... | pdn.py |
import re
'''
A simple PDN parser.
PDN (Portable Draughts Notation) is computer-processible format for recording draughts
games, both the moves and related data.
This module is based on features of others parser modules (such json and yaml).
The basic usage::
import pdn
pdn_text = open('sijbrands.pdn').r... | 0.52902 | 0.347399 |
import torch
from torch import nn
import torch.nn.functional as F
import torchvision
from torch.utils.data import DataLoader
import utils
class VAE(nn.Module):
"""Implementation of VAE(Variational Auto-Encoder)"""
def __init__(self):
super(VAE, self).__init__()
self.fc1 = nn.Linear(784, 200)
... | vae_on_mnist.py | import torch
from torch import nn
import torch.nn.functional as F
import torchvision
from torch.utils.data import DataLoader
import utils
class VAE(nn.Module):
"""Implementation of VAE(Variational Auto-Encoder)"""
def __init__(self):
super(VAE, self).__init__()
self.fc1 = nn.Linear(784, 200)
... | 0.924815 | 0.541591 |
import re
import json
import datetime
from clover.exts import db
from clover.models import query_to_dict, soft_delete
from clover.environment.models import TeamModel
from clover.environment.models import KeywordModel
from clover.environment.models import VariableModel
class TeamService(object):
def create(self,... | clover/environment/service.py | import re
import json
import datetime
from clover.exts import db
from clover.models import query_to_dict, soft_delete
from clover.environment.models import TeamModel
from clover.environment.models import KeywordModel
from clover.environment.models import VariableModel
class TeamService(object):
def create(self,... | 0.297776 | 0.327077 |
import matplotlib.pyplot as plt
import constants
import numpy as np
from statistics import mean
from scipy.signal import savgol_filter
def plotNodeCharacteristics(nodeList):
FKs, BKs, mks= [], [], [];
index = np.array(range(constants.NODES))
for node in nodeList:
FKs.append(node.FK / ... | src/plotFunctions.py | import matplotlib.pyplot as plt
import constants
import numpy as np
from statistics import mean
from scipy.signal import savgol_filter
def plotNodeCharacteristics(nodeList):
FKs, BKs, mks= [], [], [];
index = np.array(range(constants.NODES))
for node in nodeList:
FKs.append(node.FK / ... | 0.461259 | 0.64969 |
from os import path
from django.conf import settings
from django.core.mail import EmailMultiAlternatives
from django.test import TestCase, override_settings
from django.test.client import RequestFactory
from django.urls import reverse
from ..errors import (
AttachmentTooLargeError,
AuthenticationError,
)
from... | inbound_email/tests/test_views.py | from os import path
from django.conf import settings
from django.core.mail import EmailMultiAlternatives
from django.test import TestCase, override_settings
from django.test.client import RequestFactory
from django.urls import reverse
from ..errors import (
AttachmentTooLargeError,
AuthenticationError,
)
from... | 0.495606 | 0.148695 |
from __future__ import division
import numpy as np
def make_load_func(plan):
def getload(t):
return plan[t-1] # ff model plans start with index 1
return getload
def g(t, tau_1, w):
'''time continuous version of g'''
return w(t) * np.exp(-t/tau_1)
def discrete_g(n, tau_1, w):
g_value... | app/training/fitnessfatigue.py | from __future__ import division
import numpy as np
def make_load_func(plan):
def getload(t):
return plan[t-1] # ff model plans start with index 1
return getload
def g(t, tau_1, w):
'''time continuous version of g'''
return w(t) * np.exp(-t/tau_1)
def discrete_g(n, tau_1, w):
g_value... | 0.700383 | 0.578151 |
import json
import math
import rospy as ros
from std_msgs.msg import String
from std_srvs.srv import Trigger
import sys
import thread
import time
from tigrillo_ctrl.srv import Calibration, CalibrationResponse, Frequency, FrequencyResponse
from tigrillo_ctrl import utils
__author__ = "<NAME>"
__copyright__ = "Copyri... | src/tigrillo_ctrl/src/tigrillo_ctrl/calib_ros.py | import json
import math
import rospy as ros
from std_msgs.msg import String
from std_srvs.srv import Trigger
import sys
import thread
import time
from tigrillo_ctrl.srv import Calibration, CalibrationResponse, Frequency, FrequencyResponse
from tigrillo_ctrl import utils
__author__ = "<NAME>"
__copyright__ = "Copyri... | 0.237222 | 0.079603 |
import logging
import argparse
import os
import pwd
import batchitup
VERSION = "0.1.0"
def welcome_banner():
print(""" \
__ __ _ _ ___ _ _ _____ _
/ / /\ \ \___| | ___ ___ _ __ ___ ___ | |_ ___ / __\ __ _| |_ ___| |__ \_ \ |_ ... | batchitup/main.py |
import logging
import argparse
import os
import pwd
import batchitup
VERSION = "0.1.0"
def welcome_banner():
print(""" \
__ __ _ _ ___ _ _ _____ _
/ / /\ \ \___| | ___ ___ _ __ ___ ___ | |_ ___ / __\ __ _| |_ ___| |__ \_ \ |_ ... | 0.210604 | 0.063337 |
import os
import pybind11
import subprocess
import sys
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
with open("parametric_plasma_source/__init__.py", "r") as f:
for line in f.readlines():
if "__version__" in line:
version = line.split()[-1].strip(... | setup.py | import os
import pybind11
import subprocess
import sys
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
with open("parametric_plasma_source/__init__.py", "r") as f:
for line in f.readlines():
if "__version__" in line:
version = line.split()[-1].strip(... | 0.271831 | 0.062904 |
import random
import logging
import json
import time
import datetime
import numpy as np
import pandas as pd
from sklearn.preprocessing import scale
import urllib.request as urllibr
from urllib.error import HTTPError
import cx_Oracle
from django.core.cache import cache
from django.utils.six.moves import cPickle as pick... | core/datacarousel/utils.py | import random
import logging
import json
import time
import datetime
import numpy as np
import pandas as pd
from sklearn.preprocessing import scale
import urllib.request as urllibr
from urllib.error import HTTPError
import cx_Oracle
from django.core.cache import cache
from django.utils.six.moves import cPickle as pick... | 0.11427 | 0.125896 |
from unittest import mock
from aiohttp import web
import pytest
from aiohttp.test_utils import make_mocked_coro
from sockjs.transports import jsonp
@pytest.fixture
def make_transport(make_request, make_manager, make_handler, make_fut):
def maker(method="GET", path="/", query_params={}):
handler = make_... | tests/test_transport_jsonp.py | from unittest import mock
from aiohttp import web
import pytest
from aiohttp.test_utils import make_mocked_coro
from sockjs.transports import jsonp
@pytest.fixture
def make_transport(make_request, make_manager, make_handler, make_fut):
def maker(method="GET", path="/", query_params={}):
handler = make_... | 0.55097 | 0.317347 |
import numpy as np
import matplotlib.pyplot as plt
from numpy.core.fromnumeric import mean
from scipy.fftpack import fft, fftshift
import math
data = open('./FirstExperimentData.txt')
lines = data.readlines()
valid_values = []
for line in lines:
print(line)
if(line[0:21] == 'Load_cell output val:'... | OnPC_Pipelines/Project DataCode1/CleanData_Code/ReadPlotFirstExperimentData.py | import numpy as np
import matplotlib.pyplot as plt
from numpy.core.fromnumeric import mean
from scipy.fftpack import fft, fftshift
import math
data = open('./FirstExperimentData.txt')
lines = data.readlines()
valid_values = []
for line in lines:
print(line)
if(line[0:21] == 'Load_cell output val:'... | 0.229535 | 0.505554 |
import itertools
import multiprocessing
import os
import random
import shutil
import unittest
import exemcl
import numpy as np
import pandas
from sklearn.datasets import make_blobs
DIM = 10
N = 500
def L(V, S):
accu = 0
for e in V:
accu += min([pow(np.linalg.norm(e - v), 2.0) for v in S])
return... | tests/UnitTests.py | import itertools
import multiprocessing
import os
import random
import shutil
import unittest
import exemcl
import numpy as np
import pandas
from sklearn.datasets import make_blobs
DIM = 10
N = 500
def L(V, S):
accu = 0
for e in V:
accu += min([pow(np.linalg.norm(e - v), 2.0) for v in S])
return... | 0.44071 | 0.462594 |
import json
from http import server, HTTPStatus
import socketserver
import ssl
import datetime
import uuid
import time
class EndpointHandler(server.BaseHTTPRequestHandler):
def do_GET(self):
self.common_handler()
def do_POST(self):
self.common_handler()
def common_handler(self):
t... | June-17-2020/Managing-the-Full-API-Lifecycle/servers/sandbox.py | import json
from http import server, HTTPStatus
import socketserver
import ssl
import datetime
import uuid
import time
class EndpointHandler(server.BaseHTTPRequestHandler):
def do_GET(self):
self.common_handler()
def do_POST(self):
self.common_handler()
def common_handler(self):
t... | 0.367157 | 0.081337 |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.gridspec as gridspec
def gini_calc(data,y):
"""Given input variable (data, pd series/np array) and target(y, pd series/np array), calculate the
maximum information gain for a binary split.
Code is not written to be... | information_gain.py | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.gridspec as gridspec
def gini_calc(data,y):
"""Given input variable (data, pd series/np array) and target(y, pd series/np array), calculate the
maximum information gain for a binary split.
Code is not written to be... | 0.376967 | 0.739411 |
from typing import Any, Dict, Generic, List, Optional, TypeVar, Union, cast
import pystac
from pystac.extensions.base import (
ExtensionManagementMixin,
PropertiesExtension,
)
from pystac.extensions.hooks import ExtensionHooks
from pystac.utils import get_required
T = TypeVar("T", pystac.Collection, pystac.It... | pystac/extensions/table.py | from typing import Any, Dict, Generic, List, Optional, TypeVar, Union, cast
import pystac
from pystac.extensions.base import (
ExtensionManagementMixin,
PropertiesExtension,
)
from pystac.extensions.hooks import ExtensionHooks
from pystac.utils import get_required
T = TypeVar("T", pystac.Collection, pystac.It... | 0.943614 | 0.220657 |
import json
import re
from billy.scrape.committees import Committee, CommitteeScraper
class VTCommitteeScraper(CommitteeScraper):
jurisdiction = 'vt'
latest_only = True
def scrape(self, session, chambers):
year_slug = session[5: ]
# Load all committees via the private API
commit... | openstates/openstates-master/openstates/vt/committees.py | import json
import re
from billy.scrape.committees import Committee, CommitteeScraper
class VTCommitteeScraper(CommitteeScraper):
jurisdiction = 'vt'
latest_only = True
def scrape(self, session, chambers):
year_slug = session[5: ]
# Load all committees via the private API
commit... | 0.410047 | 0.17172 |
import locale
import datetime
import unittest
from unittest import mock
from collections import OrderedDict
from openfecwebapp import filters
from openfecwebapp import utils
from openfecwebapp.app import app, get_election_url
def test_currency_filter_not_none():
locale.setlocale(locale.LC_ALL, '')
assert fil... | tests/test_utils.py | import locale
import datetime
import unittest
from unittest import mock
from collections import OrderedDict
from openfecwebapp import filters
from openfecwebapp import utils
from openfecwebapp.app import app, get_election_url
def test_currency_filter_not_none():
locale.setlocale(locale.LC_ALL, '')
assert fil... | 0.444083 | 0.396594 |
from model import Model
from model import Model_Mod
import torch
import numpy as np
import matplotlib.pyplot as plt
# Arguments:
# in_features (int): the number of dimensions in the input
# out_features (int): the number of dimensions in the output
# num_gaussians (int): the number of Gaus... | Mixture_model/main.py | from model import Model
from model import Model_Mod
import torch
import numpy as np
import matplotlib.pyplot as plt
# Arguments:
# in_features (int): the number of dimensions in the input
# out_features (int): the number of dimensions in the output
# num_gaussians (int): the number of Gaus... | 0.684897 | 0.653514 |
from math import pi, sqrt
class Figure:
@property
def area(self):
raise NotImplementedError
@property
def perimeter(self):
raise NotImplementedError
@property
def name(self):
raise NotImplementedError
def __str__(self):
return (
f'{self.name()... | lab_5/tasks/task_2.py | from math import pi, sqrt
class Figure:
@property
def area(self):
raise NotImplementedError
@property
def perimeter(self):
raise NotImplementedError
@property
def name(self):
raise NotImplementedError
def __str__(self):
return (
f'{self.name()... | 0.906255 | 0.50531 |
import offsetbasedgraph as obg
from collections import defaultdict
from graph_peak_caller.postprocess.reference_based_max_path\
import max_path_func
from offsetbasedgraph.vcfmap import VariantMap, DELMap
from graph_peak_caller.sparsediffs import SparseValues
from graph_peak_caller.peakcollection import Peak
from gr... | tests/test_refmaxpath.py | import offsetbasedgraph as obg
from collections import defaultdict
from graph_peak_caller.postprocess.reference_based_max_path\
import max_path_func
from offsetbasedgraph.vcfmap import VariantMap, DELMap
from graph_peak_caller.sparsediffs import SparseValues
from graph_peak_caller.peakcollection import Peak
from gr... | 0.69946 | 0.438364 |
from analysis import eval
from environment import THE_GLOBAL_ENV
import sys
import traceback
from utils import to_string
from argparse import ArgumentParser
from collections import Counter
def repl(env=THE_GLOBAL_ENV, debug=False):
# TODO: nicer REPL. Tab-completion
def ask():
try:
_str = ... | src/loispy/interpreter/main.py | from analysis import eval
from environment import THE_GLOBAL_ENV
import sys
import traceback
from utils import to_string
from argparse import ArgumentParser
from collections import Counter
def repl(env=THE_GLOBAL_ENV, debug=False):
# TODO: nicer REPL. Tab-completion
def ask():
try:
_str = ... | 0.151216 | 0.076477 |
from typing import List
class numerics(object):
"""Numeric utilities for solving the problem.
"""
@staticmethod
def plus_to_pos(original: List[int], position: int, k: int = 3) -> List[int]:
"""Recursive helper function to add one at a location of a list of (bit) integers
representi... | ternary_balance/utils/numerics.py | from typing import List
class numerics(object):
"""Numeric utilities for solving the problem.
"""
@staticmethod
def plus_to_pos(original: List[int], position: int, k: int = 3) -> List[int]:
"""Recursive helper function to add one at a location of a list of (bit) integers
representi... | 0.93064 | 0.753217 |
load("@bazel_tools//tools/build_defs/cc:action_names.bzl", "ACTION_NAMES")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load(
"@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl",
"feature",
"flag_group",
"flag_set",
"tool_path",
"with_feature_set",
)
load(
"@bazel_b... | toolchains/toolchains.bzl | load("@bazel_tools//tools/build_defs/cc:action_names.bzl", "ACTION_NAMES")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load(
"@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl",
"feature",
"flag_group",
"flag_set",
"tool_path",
"with_feature_set",
)
load(
"@bazel_b... | 0.529507 | 0.12544 |
import json
import logging
import os
try:
import psutil
except ImportError:
psutil = None
import subprocess
from threading import Timer
from py_trace_event import trace_time
from telemetry.internal.platform import tracing_agent
from telemetry.timeline import trace_data
DEFAULT_MIN_PCPU = 0.1
class ProcessCollec... | telemetry/telemetry/internal/platform/tracing_agent/cpu_tracing_agent.py |
import json
import logging
import os
try:
import psutil
except ImportError:
psutil = None
import subprocess
from threading import Timer
from py_trace_event import trace_time
from telemetry.internal.platform import tracing_agent
from telemetry.timeline import trace_data
DEFAULT_MIN_PCPU = 0.1
class ProcessCollec... | 0.622689 | 0.168309 |
from functools import reduce
from math import floor, gcd, inf
_DEBUG = True
def _lcm(a, b):
return abs(a * b) // gcd(a, b)
class Job:
"""A released job from a task"""
def __init__(self, release, cost, deadline, task):
"""
:param release: release time
:param cost: execution cost... | task_systems.py | from functools import reduce
from math import floor, gcd, inf
_DEBUG = True
def _lcm(a, b):
return abs(a * b) // gcd(a, b)
class Job:
"""A released job from a task"""
def __init__(self, release, cost, deadline, task):
"""
:param release: release time
:param cost: execution cost... | 0.823399 | 0.342379 |
import torch.nn as nn
from module.Res_block import residual_block
import torch.nn.functional as F
import torch
def weights_init_normal(m):
classname = m.__class__.__name__
if classname.find("Conv") != -1:
torch.nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find("BatchNorm3d") != -1:
... | module/Attention_block.py | import torch.nn as nn
from module.Res_block import residual_block
import torch.nn.functional as F
import torch
def weights_init_normal(m):
classname = m.__class__.__name__
if classname.find("Conv") != -1:
torch.nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find("BatchNorm3d") != -1:
... | 0.945488 | 0.448849 |
import os
from shutil import copyfile
import pandas as pd
import numpy as np
from configuration.paths import *
SEED = 1
def normalize(ds):
ds = ds.groupby("patientId", as_index=False).sum()
ds['diagnosis'] = np.where(ds['Target'] >= 1, 1, 0)
ds = ds.rename(columns={'patientId': 'image'})
ds = ds[['... | src/preprocess/pneumonia_detection_challenge_preprocessing.py | import os
from shutil import copyfile
import pandas as pd
import numpy as np
from configuration.paths import *
SEED = 1
def normalize(ds):
ds = ds.groupby("patientId", as_index=False).sum()
ds['diagnosis'] = np.where(ds['Target'] >= 1, 1, 0)
ds = ds.rename(columns={'patientId': 'image'})
ds = ds[['... | 0.128744 | 0.144571 |
from __future__ import print_function
import argparse
import sys
import textwrap
import redlock
def log(*args, **kwargs):
if not log.quiet:
print(*args, file=sys.stderr, **kwargs)
def lock(name, validity, redis, retry_count=3, retry_delay=200, **kwargs):
if retry_count < 0:
retry_count = 0... | redlock/cli.py | from __future__ import print_function
import argparse
import sys
import textwrap
import redlock
def log(*args, **kwargs):
if not log.quiet:
print(*args, file=sys.stderr, **kwargs)
def lock(name, validity, redis, retry_count=3, retry_delay=200, **kwargs):
if retry_count < 0:
retry_count = 0... | 0.414188 | 0.052497 |
from sklearn.model_selection import KFold
from abc import ABC, abstractmethod
from typing import Tuple, Union, Dict, List, Any
from torch.utils.data import Dataset, DataLoader
import torch
import albumentations as A
from albumentations.pytorch.transforms import ToTensorV2
import random
import pandas as pd
import cv2
... | KFolder.py | from sklearn.model_selection import KFold
from abc import ABC, abstractmethod
from typing import Tuple, Union, Dict, List, Any
from torch.utils.data import Dataset, DataLoader
import torch
import albumentations as A
from albumentations.pytorch.transforms import ToTensorV2
import random
import pandas as pd
import cv2
... | 0.893649 | 0.400867 |
import pytest
from darwin.item_sorter import ItemSorter, SortDirection
def describe_item_sorter():
def describe_parse():
def works_when_sort_is_complete_and_valid():
sort = "updated_at:asc"
actual: ItemSorter = ItemSorter.parse(sort)
assert actual.field == "updated_a... | tests/darwin/item_sorter_test.py | import pytest
from darwin.item_sorter import ItemSorter, SortDirection
def describe_item_sorter():
def describe_parse():
def works_when_sort_is_complete_and_valid():
sort = "updated_at:asc"
actual: ItemSorter = ItemSorter.parse(sort)
assert actual.field == "updated_a... | 0.719482 | 0.452899 |
import time
import json
import itertools
from kafka.client_async import KafkaClient
from kazoo.client import KazooClient
from kafka.protocol.admin import (
CreatePartitionsResponse_v0,
CreateTopicsRequest_v0,
DeleteTopicsRequest_v0,
CreateAclsRequest_v0,
CreateAclsRequest_v1,
DeleteAclsRequest... | ansible/module_utils/kafka_manager.py | import time
import json
import itertools
from kafka.client_async import KafkaClient
from kazoo.client import KazooClient
from kafka.protocol.admin import (
CreatePartitionsResponse_v0,
CreateTopicsRequest_v0,
DeleteTopicsRequest_v0,
CreateAclsRequest_v0,
CreateAclsRequest_v1,
DeleteAclsRequest... | 0.533884 | 0.0538 |
from __future__ import absolute_import, division, print_function
import sys
import argparse
import yaml
import numpy as np
from scipy.sparse import csgraph
from scipy.sparse.csr import csr_matrix
from astropy.extern import six
from astropy.table import Table, Column
def read_table(filepath):
""" Trivially read an... | fermipy/scripts/cluster_sources.py | from __future__ import absolute_import, division, print_function
import sys
import argparse
import yaml
import numpy as np
from scipy.sparse import csgraph
from scipy.sparse.csr import csr_matrix
from astropy.extern import six
from astropy.table import Table, Column
def read_table(filepath):
""" Trivially read an... | 0.79858 | 0.478712 |
import asyncio
from socket import gaierror as SocketGIAError
from struct import error as StructError
from typing import Any, Mapping, Optional
import aiohttp
import async_timeout
from deepmerge import always_merger
from yarl import URL
from .__version__ import __version__
from .const import (
DEFAULT_CHARSET,
... | pyipp/ipp.py | import asyncio
from socket import gaierror as SocketGIAError
from struct import error as StructError
from typing import Any, Mapping, Optional
import aiohttp
import async_timeout
from deepmerge import always_merger
from yarl import URL
from .__version__ import __version__
from .const import (
DEFAULT_CHARSET,
... | 0.77373 | 0.084758 |
import argparse
from fissix.pygram import python_symbols as syms
from fissix.fixer_util import Name, Dot, Newline, touch_import, find_binding
from bowler import Query, TOKEN
from bowler.types import Leaf, Node
flags = {}
def replace_unicode_methods(node, capture, arguments):
# remove any existing __str__ metho... | sixify.py | import argparse
from fissix.pygram import python_symbols as syms
from fissix.fixer_util import Name, Dot, Newline, touch_import, find_binding
from bowler import Query, TOKEN
from bowler.types import Leaf, Node
flags = {}
def replace_unicode_methods(node, capture, arguments):
# remove any existing __str__ metho... | 0.556159 | 0.111265 |
import os
import torch
import numpy as np
import cloudpickle
from torch import nn, optim
import matplotlib.pyplot as plt
class TorchLinearRegression(torch.nn.Module):
def __init__(self, input_size, output_size):
super(TorchLinearRegression, self).__init__()
self.linear = torch.nn.Linear(input_size... | backend/src/classifier/logistic_regression.py | import os
import torch
import numpy as np
import cloudpickle
from torch import nn, optim
import matplotlib.pyplot as plt
class TorchLinearRegression(torch.nn.Module):
def __init__(self, input_size, output_size):
super(TorchLinearRegression, self).__init__()
self.linear = torch.nn.Linear(input_size... | 0.929103 | 0.658541 |
import params as prm
from blockchain import blockchain
import pickle
import socket
import asyncio
import sys
from transactions import transaction, utxo
import time
#================Data Types===========================
class Version():
def __init__(self, ver, bh, nd):
self.version = ver
self.bestHe... | network/network.py | import params as prm
from blockchain import blockchain
import pickle
import socket
import asyncio
import sys
from transactions import transaction, utxo
import time
#================Data Types===========================
class Version():
def __init__(self, ver, bh, nd):
self.version = ver
self.bestHe... | 0.309128 | 0.161023 |
from gimpfu import *
import math
def create_outline(image, fillOpacity, allLayers, cutOutCenter):
xOffsets = [1, -1, 0, 0]
yOffsets = [0, 0, 1, -1]
originalLayers = []
if(allLayers):
originalLayers = image.layers
else:
originalLayers.append(image.active_layer)
for k in ran... | create_outline.py |
from gimpfu import *
import math
def create_outline(image, fillOpacity, allLayers, cutOutCenter):
xOffsets = [1, -1, 0, 0]
yOffsets = [0, 0, 1, -1]
originalLayers = []
if(allLayers):
originalLayers = image.layers
else:
originalLayers.append(image.active_layer)
for k in ran... | 0.276886 | 0.144994 |
import os
import time
from flask import Flask, Request, g, jsonify, request, make_response
from flask_cors import CORS
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
from app.api.auth import generate_api_key
from app.db.db_connect import VDBConnect, MySQLdb
from app.errors import ... | app/__init__.py | import os
import time
from flask import Flask, Request, g, jsonify, request, make_response
from flask_cors import CORS
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
from app.api.auth import generate_api_key
from app.db.db_connect import VDBConnect, MySQLdb
from app.errors import ... | 0.352425 | 0.04612 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('coreapi', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Brand',
fields=[
('id... | inventory/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('coreapi', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Brand',
fields=[
('id... | 0.568536 | 0.242766 |
multiple modules."""
import io
import os
import logging
FOUND_RICH_LIB = False
try:
from rich.logging import RichHandler
FOUND_RICH_LIB = True
logging.basicConfig(
format="%(name)s: %(message)s",
handlers=[RichHandler(show_time=False)],
)
except ImportError:
logging.basicConfig()... | python_linter/__init__.py | multiple modules."""
import io
import os
import logging
FOUND_RICH_LIB = False
try:
from rich.logging import RichHandler
FOUND_RICH_LIB = True
logging.basicConfig(
format="%(name)s: %(message)s",
handlers=[RichHandler(show_time=False)],
)
except ImportError:
logging.basicConfig()... | 0.762513 | 0.191252 |
class Storage(object):
"Base storage class doin nothin."
# Basic user functions
def set_user_data(self, user_id, user_data):
"Store user_data dictionary."
print "Set user data:\t%s\n%s" % (user_id, user_data)
def get_user_data(self, user_id):
"Return user_id's data."
return None
def is_protected(self, u... | storage.py | class Storage(object):
"Base storage class doin nothin."
# Basic user functions
def set_user_data(self, user_id, user_data):
"Store user_data dictionary."
print "Set user data:\t%s\n%s" % (user_id, user_data)
def get_user_data(self, user_id):
"Return user_id's data."
return None
def is_protected(self, u... | 0.45641 | 0.10026 |
import os
import sys
cellbuf = []
def scan_to_cell():
for line in sys.stdin:
if line.startswith('# '):
global cellbuf
cellbuf = [line]
return line[2:].strip()
def driver_ref(driver):
with open(f'inref/drivers/{driver}') as fh:
return fh.read().strip()
def ... | flow/mdnote/md-to-steps.py | import os
import sys
cellbuf = []
def scan_to_cell():
for line in sys.stdin:
if line.startswith('# '):
global cellbuf
cellbuf = [line]
return line[2:].strip()
def driver_ref(driver):
with open(f'inref/drivers/{driver}') as fh:
return fh.read().strip()
def ... | 0.191857 | 0.214671 |
import argparse
import json
import logging
import os
import random
import sys
import traceback
from string import ascii_lowercase, ascii_uppercase, digits
sys.path.append(os.path.abspath(os.path.join(__file__, "../../../..")))
from v2.lib import resource_op
from v2.lib.exceptions import RGWBaseException, TestExecErr... | rgw/v2/tests/s3cmd/test_header_size.py | import argparse
import json
import logging
import os
import random
import sys
import traceback
from string import ascii_lowercase, ascii_uppercase, digits
sys.path.append(os.path.abspath(os.path.join(__file__, "../../../..")))
from v2.lib import resource_op
from v2.lib.exceptions import RGWBaseException, TestExecErr... | 0.296349 | 0.131368 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'supported_by': 'community',
'status': ['preview']
}
from ansible.errors import AnsibleConnectionFailure
from ansible import __version__ as ansible_version
f... | vos_ansible_files/plugins/httpapi/vos.py | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'supported_by': 'community',
'status': ['preview']
}
from ansible.errors import AnsibleConnectionFailure
from ansible import __version__ as ansible_version
f... | 0.459804 | 0.114023 |
from abc import ABC, abstractmethod
from typing import List
from mpmath import eye, mpc, matrix
from mpmath import expm as mp_expm
from numpy import ndarray, identity
from numpy.linalg import matrix_power
from scipy.linalg import expm as scipy_expm
from .matrices import Matrix
class ProductFormula(ABC):
@abstra... | matrix_extrapolation/product_formula.py | from abc import ABC, abstractmethod
from typing import List
from mpmath import eye, mpc, matrix
from mpmath import expm as mp_expm
from numpy import ndarray, identity
from numpy.linalg import matrix_power
from scipy.linalg import expm as scipy_expm
from .matrices import Matrix
class ProductFormula(ABC):
@abstra... | 0.94121 | 0.718138 |
from django.test import TestCase
from awl.css_colours import (is_colour, colour_to_rgb, colour_to_rgb_string,
LOWER_WEB_COLOUR_MAP)
COLOUR_NAMES = [key.lower() for key in LOWER_WEB_COLOUR_MAP.keys()]
# ============================================================================
class ColourTests(TestCase):
... | awl/tests/test_colours.py |
from django.test import TestCase
from awl.css_colours import (is_colour, colour_to_rgb, colour_to_rgb_string,
LOWER_WEB_COLOUR_MAP)
COLOUR_NAMES = [key.lower() for key in LOWER_WEB_COLOUR_MAP.keys()]
# ============================================================================
class ColourTests(TestCase):
... | 0.649245 | 0.230378 |
import asyncio
import concurrent
import importlib
import inspect
import logging
import os
import sys
from functools import partial
from athome.api.task import Task
from athome.lib.management import managed
from athome.lib.runnersupport import RunnerSupport, runner_main
MODULE_PREFIX = '__athome_tasksmodule_'
TASK_PR... | src/athome/lib/taskrunner.py |
import asyncio
import concurrent
import importlib
import inspect
import logging
import os
import sys
from functools import partial
from athome.api.task import Task
from athome.lib.management import managed
from athome.lib.runnersupport import RunnerSupport, runner_main
MODULE_PREFIX = '__athome_tasksmodule_'
TASK_PR... | 0.374905 | 0.128881 |
# X86 registers
X86_REG_INVALID = 0
X86_REG_AH = 1
X86_REG_AL = 2
X86_REG_AX = 3
X86_REG_BH = 4
X86_REG_BL = 5
X86_REG_BP = 6
X86_REG_BPL = 7
X86_REG_BX = 8
X86_REG_CH = 9
X86_REG_CL = 10
X86_REG_CS = 11
X86_REG_CX = 12
X86_REG_DH = 13
X86_REG_DI = 14
X86_REG_DIL = 15
X86_REG_DL = 16
X86_REG_DS = 17
X86_REG_DX = 18
X... | bindings/python/capstone/x86_const.py |
# X86 registers
X86_REG_INVALID = 0
X86_REG_AH = 1
X86_REG_AL = 2
X86_REG_AX = 3
X86_REG_BH = 4
X86_REG_BL = 5
X86_REG_BP = 6
X86_REG_BPL = 7
X86_REG_BX = 8
X86_REG_CH = 9
X86_REG_CL = 10
X86_REG_CS = 11
X86_REG_CX = 12
X86_REG_DH = 13
X86_REG_DI = 14
X86_REG_DIL = 15
X86_REG_DL = 16
X86_REG_DS = 17
X86_REG_DX = 18
X... | 0.31542 | 0.117117 |
from math import ceil
from time import sleep
import os
import re
from database import User, Item
from . import data_manipulation
from . import gtk_element_editor
from . import window_creator
from .decorators import use_threading, use_spinner
class WindowHandler:
spinner = None
task_count = 0
user_list = ... | sortimentGUI/window_handler.py | from math import ceil
from time import sleep
import os
import re
from database import User, Item
from . import data_manipulation
from . import gtk_element_editor
from . import window_creator
from .decorators import use_threading, use_spinner
class WindowHandler:
spinner = None
task_count = 0
user_list = ... | 0.362405 | 0.164349 |
import smbus2
from smbus2 import i2c_msg
import time
from .DFRobot_SGP40_VOCAlgorithm import DFRobot_VOCAlgorithm
moduleVersionString = "THV0.2"
SHT_ADDR = 0x44
SGP_ADDR = 0x59
# SGP40 commands
SGP40_MEASURE_RAW_SIGNAL = [0x26, 0x0F]
SGP40_EXECUTE_SELF_TEST = [0x28, 0x0E]
SGP40_TURN_HEATER_OFF = [0x36, 0x15]
SGP4X_G... | DesignSpark/ESDK/THV.py | import smbus2
from smbus2 import i2c_msg
import time
from .DFRobot_SGP40_VOCAlgorithm import DFRobot_VOCAlgorithm
moduleVersionString = "THV0.2"
SHT_ADDR = 0x44
SGP_ADDR = 0x59
# SGP40 commands
SGP40_MEASURE_RAW_SIGNAL = [0x26, 0x0F]
SGP40_EXECUTE_SELF_TEST = [0x28, 0x0E]
SGP40_TURN_HEATER_OFF = [0x36, 0x15]
SGP4X_G... | 0.531209 | 0.37843 |
import jinja2
import pytest
class TestJinjaFilters:
config = """
tasks:
stripyear:
mock:
- {"title":"The Matrix (1999)", "url":"mock://local1" }
- {"title":"The Matrix", "url":"mock://local2" }
- {"title":"The Matrix 1999", "url":"mock://loca... | flexget/tests/test_jinja_filters.py | import jinja2
import pytest
class TestJinjaFilters:
config = """
tasks:
stripyear:
mock:
- {"title":"The Matrix (1999)", "url":"mock://local1" }
- {"title":"The Matrix", "url":"mock://local2" }
- {"title":"The Matrix 1999", "url":"mock://loca... | 0.681621 | 0.481027 |
from decimal import Decimal
from functools import reduce
import six
# This junit backend implementation is based on the documentation
# http://llg.cubic.org/docs/junit/
# also see:
# https://confluence.atlassian.com/display/BAMBOO/JUnit+parsing+in+Bamboo
try:
from lxml import etree as ET
from lxml.builder i... | lemoncheesecake/reporting/backends/junit.py | from decimal import Decimal
from functools import reduce
import six
# This junit backend implementation is based on the documentation
# http://llg.cubic.org/docs/junit/
# also see:
# https://confluence.atlassian.com/display/BAMBOO/JUnit+parsing+in+Bamboo
try:
from lxml import etree as ET
from lxml.builder i... | 0.464659 | 0.194942 |
from urlresolver.plugnplay.interfaces import UrlResolver
from urlresolver.plugnplay.interfaces import SiteAuth
from urlresolver.plugnplay.interfaces import PluginSettings
from urlresolver.plugnplay import Plugin
from urlresolver import common
from t0mm0.common.net import Net
import re
import urllib
try:
import sim... | script.module.urlresolver/lib/urlresolver/plugins/premiumize_me.py | from urlresolver.plugnplay.interfaces import UrlResolver
from urlresolver.plugnplay.interfaces import SiteAuth
from urlresolver.plugnplay.interfaces import PluginSettings
from urlresolver.plugnplay import Plugin
from urlresolver import common
from t0mm0.common.net import Net
import re
import urllib
try:
import sim... | 0.379608 | 0.046573 |
import nmrglue as ng
import numpy as np
import tempfile
import os
import glob
from numpy.testing import assert_array_equal
# useful functions
def write_readback(dic,data):
# write out and read back
tf = tempfile.mktemp(dir=".")
ng.pipe.write(tf,dic,data)
rdic,rdata = ng.pipe.read(tf)
os.remove(t... | tests/test_pipe.py | import nmrglue as ng
import numpy as np
import tempfile
import os
import glob
from numpy.testing import assert_array_equal
# useful functions
def write_readback(dic,data):
# write out and read back
tf = tempfile.mktemp(dir=".")
ng.pipe.write(tf,dic,data)
rdic,rdata = ng.pipe.read(tf)
os.remove(t... | 0.38145 | 0.611295 |
from pyxlsxfunctions.math.core import SUMIF, COUNTIF, AND, OR, IF, FV, PV, AVERAGE, LEN, VLOOKUP, CORREL, AVERAGEIF, COUNTBLANK, RANDBETWEEN, POWER
import numpy as np
import pandas as pd
# Unit tests for SUMIF
def test_SUMIF_1():
assert SUMIF([1, 2, 3, 4, 5], ['yes', 'yes', 'no', 'no', 'yes'], 'yes') == 8
def tes... | tests/math/test_core.py | from pyxlsxfunctions.math.core import SUMIF, COUNTIF, AND, OR, IF, FV, PV, AVERAGE, LEN, VLOOKUP, CORREL, AVERAGEIF, COUNTBLANK, RANDBETWEEN, POWER
import numpy as np
import pandas as pd
# Unit tests for SUMIF
def test_SUMIF_1():
assert SUMIF([1, 2, 3, 4, 5], ['yes', 'yes', 'no', 'no', 'yes'], 'yes') == 8
def tes... | 0.552902 | 0.578865 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import errno
import os
import stat
import re
import pwd
import grp
import time
import shutil
import traceback
import fcntl
import sys
from contextlib import contextmanager
from ansible.module_utils._text import to_bytes, to_nativ... | ansible/my_env/lib/python2.7/site-packages/ansible/module_utils/common/file.py |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import errno
import os
import stat
import re
import pwd
import grp
import time
import shutil
import traceback
import fcntl
import sys
from contextlib import contextmanager
from ansible.module_utils._text import to_bytes, to_nativ... | 0.47098 | 0.066327 |
# BlackSmith plugin
# access_plugin.py
# Author:
# <NAME> [<EMAIL>]
# Modifications:
# Als [<EMAIL>]
# WitcherGeralt [<EMAIL>]
ACCESS_LIST = {'-100': u'(полный игнор)', '-5': u'(заблокирован)', '0': u'(никто)','1': '(lol)', '10': u'(юзер)', '11': u'(мембер)', '15': u'(модер)', '16': u'(модер)', '20': u'(админ)'... | extensions/access.py |
# BlackSmith plugin
# access_plugin.py
# Author:
# <NAME> [<EMAIL>]
# Modifications:
# Als [<EMAIL>]
# WitcherGeralt [<EMAIL>]
ACCESS_LIST = {'-100': u'(полный игнор)', '-5': u'(заблокирован)', '0': u'(никто)','1': '(lol)', '10': u'(юзер)', '11': u'(мембер)', '15': u'(модер)', '16': u'(модер)', '20': u'(админ)'... | 0.124652 | 0.175892 |
from itertools import chain
class Seat(object):
def __init__(self, occupied=False):
self.occupied = occupied
self.neighbours = []
self.pending_flip = False
def flip(self):
self.occupied = not self.occupied
self.pending_flip = False
def occupied_neighbours(self):
... | adventofcode/day11.py | from itertools import chain
class Seat(object):
def __init__(self, occupied=False):
self.occupied = occupied
self.neighbours = []
self.pending_flip = False
def flip(self):
self.occupied = not self.occupied
self.pending_flip = False
def occupied_neighbours(self):
... | 0.667256 | 0.320662 |
"""Script to convert HotpotQA to MRQA format, with negatives."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import json
import re
from absl import flags
import tensorflow.compat.v1 as tf
from tqdm import tqdm
FLAGS = flags.FLAGS
## Requir... | language/labs/drkit/hotpotqa/preprocessing/convert_hotpot_to_mrqa.py | """Script to convert HotpotQA to MRQA format, with negatives."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import json
import re
from absl import flags
import tensorflow.compat.v1 as tf
from tqdm import tqdm
FLAGS = flags.FLAGS
## Requir... | 0.660501 | 0.182918 |
import boto3
import json
import mimetypes
import os
import subprocess
import time
client = boto3.client("s3")
with open("package.json") as json_data:
d = json.load(json_data)
pjson_version = d["version"]
DEPLOY_TO = os.getenv("CFF_DEPLOY_TO")
if DEPLOY_TO == "prod":
SCRIPT_PATH = "./scripts/prod"
BUC... | deploy.py | import boto3
import json
import mimetypes
import os
import subprocess
import time
client = boto3.client("s3")
with open("package.json") as json_data:
d = json.load(json_data)
pjson_version = d["version"]
DEPLOY_TO = os.getenv("CFF_DEPLOY_TO")
if DEPLOY_TO == "prod":
SCRIPT_PATH = "./scripts/prod"
BUC... | 0.136781 | 0.07403 |
import os, sys, datetime,sqlite3
from flask import Flask, render_template, request, redirect
from modules.search import *
############################################################
############################################################
# FrameWork: Flask
# Virtual Enveiroment > python -m venv [virtual d... | Py0729/main.py | import os, sys, datetime,sqlite3
from flask import Flask, render_template, request, redirect
from modules.search import *
############################################################
############################################################
# FrameWork: Flask
# Virtual Enveiroment > python -m venv [virtual d... | 0.120672 | 0.042862 |
from ghc.utils.hom import nx2homg, tree_list, cycle_list,\
path_list, hom_profile
import homlib as hl
import networkx as nx
import numpy as np
def hom_tree(F, G):
"""Specialized tree homomorphism in Python (serializable).
Add `indexed` parameter to count for each index individually.
... | src/ghc/homomorphism.py | from ghc.utils.hom import nx2homg, tree_list, cycle_list,\
path_list, hom_profile
import homlib as hl
import networkx as nx
import numpy as np
def hom_tree(F, G):
"""Specialized tree homomorphism in Python (serializable).
Add `indexed` parameter to count for each index individually.
... | 0.786746 | 0.627381 |
from uninas.optimization.hpo.uninas.algorithms.abstract import AbstractAlgorithm
from uninas.optimization.hpo.uninas.candidate import Candidate
from uninas.optimization.hpo.uninas.algorithms.abstract import AbstractHPO
from uninas.optimization.hpo.uninas.values import ValueSpace, SpecificValueSpace
from uninas.utils.ar... | uninas/optimization/hpo/uninas/algorithms/specific.py | from uninas.optimization.hpo.uninas.algorithms.abstract import AbstractAlgorithm
from uninas.optimization.hpo.uninas.candidate import Candidate
from uninas.optimization.hpo.uninas.algorithms.abstract import AbstractHPO
from uninas.optimization.hpo.uninas.values import ValueSpace, SpecificValueSpace
from uninas.utils.ar... | 0.808823 | 0.55435 |
from django.test import TestCase
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
from .utils import create_user, create_friend_request
from core.models import FriendRequest
CREATE_FRIEND_REQUEST_URL = reverse('api:friend_request_create')
LIST_FRIEND_REQUES... | app/api/tests/test_friend_request_api.py | from django.test import TestCase
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
from .utils import create_user, create_friend_request
from core.models import FriendRequest
CREATE_FRIEND_REQUEST_URL = reverse('api:friend_request_create')
LIST_FRIEND_REQUES... | 0.556882 | 0.244481 |
from django.core.mail import send_mail
from django.core.mail import mail_admins
from django.template.loader import render_to_string
from django.template import Context, Template
from django.conf import settings
from beauty_and_pics.consts import project_constants
from itertools import chain
import calendar, logging, j... | beauty_and_pics/email_template/email/email_template.py |
from django.core.mail import send_mail
from django.core.mail import mail_admins
from django.template.loader import render_to_string
from django.template import Context, Template
from django.conf import settings
from beauty_and_pics.consts import project_constants
from itertools import chain
import calendar, logging, j... | 0.312895 | 0.080394 |
import numpy as np
def continue_clamped(x, y, kind='cubic'):
""" continue a clamped spline to +/- infinity
Args:
x (np.array): x values
y (np.array): y values
kind (str, optional): spline kind, default 'cubic'
Return:
function: ycont, y(x) defined over all x
"""
from scipy.interpolate import... | solith/li_nofk/expt_jofp.py | import numpy as np
def continue_clamped(x, y, kind='cubic'):
""" continue a clamped spline to +/- infinity
Args:
x (np.array): x values
y (np.array): y values
kind (str, optional): spline kind, default 'cubic'
Return:
function: ycont, y(x) defined over all x
"""
from scipy.interpolate import... | 0.884489 | 0.597549 |
import os
import re
from typing import List, Union
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
from networks.utility_functions.user_check import check_existing_folder
class ActivationsHeatmap:
def __init__(self, model):
self.__model = model
self.__save ... | networks/classes/specialization/ActivationsHeatmap.py | import os
import re
from typing import List, Union
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
from networks.utility_functions.user_check import check_existing_folder
class ActivationsHeatmap:
def __init__(self, model):
self.__model = model
self.__save ... | 0.891617 | 0.608943 |
from __future__ import division, unicode_literals
import collections as col
import copy
import re
from . import config
from .messages import *
from .ReferenceManager import linkTextsFromElement
'''
A global name uniquely identifies a definition
as a sequence of (value, type) tuples,
with the definition itself as the f... | bikeshed/globalnames.py | from __future__ import division, unicode_literals
import collections as col
import copy
import re
from . import config
from .messages import *
from .ReferenceManager import linkTextsFromElement
'''
A global name uniquely identifies a definition
as a sequence of (value, type) tuples,
with the definition itself as the f... | 0.520009 | 0.269389 |
import os
import numpy as np
import torch as t
import torch.utils.data
import torchvision as tv
from sklearn.model_selection import train_test_split
def __balance_val_split(dataset, val_split=0.):
targets = np.array(dataset.targets)
train_indices, val_indices = train_test_split(
np.arange(targets.sha... | util/data_loader.py | import os
import numpy as np
import torch as t
import torch.utils.data
import torchvision as tv
from sklearn.model_selection import train_test_split
def __balance_val_split(dataset, val_split=0.):
targets = np.array(dataset.targets)
train_indices, val_indices = train_test_split(
np.arange(targets.sha... | 0.711832 | 0.444263 |