max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
benchmarks/SimResults/combinations_spec_mylocality/oldstuff/cmp_soplexmcfcalculixgcc/power.py | TugberkArkose/MLScheduler | 0 | 10200 | <filename>benchmarks/SimResults/combinations_spec_mylocality/oldstuff/cmp_soplexmcfcalculixgcc/power.py
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold L... | <filename>benchmarks/SimResults/combinations_spec_mylocality/oldstuff/cmp_soplexmcfcalculixgcc/power.py
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold L... | none | 1 | 1.286766 | 1 | |
packages/gtmcore/gtmcore/environment/conda.py | gigabackup/gigantum-client | 60 | 10201 | from typing import List, Dict
import json
from gtmcore.http import ConcurrentRequestManager, ConcurrentRequest
from gtmcore.environment.packagemanager import PackageManager, PackageResult, PackageMetadata
from gtmcore.container import container_for_context
from gtmcore.labbook import LabBook
from gtmcore.logging impor... | from typing import List, Dict
import json
from gtmcore.http import ConcurrentRequestManager, ConcurrentRequest
from gtmcore.environment.packagemanager import PackageManager, PackageResult, PackageMetadata
from gtmcore.container import container_for_context
from gtmcore.labbook import LabBook
from gtmcore.logging impor... | en | 0.821075 | Class to implement the conda package manager # String to be set in child classes indicating which python version you are checking. Typically should be either # python 3.6* or python 2.7* # String of the name of the conda environment (e.g. py36 or py27, as created via container build) # Note, currently we hard code chan... | 2.353314 | 2 |
netchos/io/io_mpl_to_px.py | brainets/netchos | 11 | 10202 | <gh_stars>10-100
"""Conversion of Matplotlib / Seaborn inputs to plotly."""
import os.path as op
from pkg_resources import resource_filename
import json
def mpl_to_px_inputs(inputs, plt_types=None):
"""Convert typical matplotlib inputs to plotly to simplify API.
Parameters
----------
inputs : dict
... | """Conversion of Matplotlib / Seaborn inputs to plotly."""
import os.path as op
from pkg_resources import resource_filename
import json
def mpl_to_px_inputs(inputs, plt_types=None):
"""Convert typical matplotlib inputs to plotly to simplify API.
Parameters
----------
inputs : dict
Dictionary ... | en | 0.415941 | Conversion of Matplotlib / Seaborn inputs to plotly. Convert typical matplotlib inputs to plotly to simplify API. Parameters ---------- inputs : dict Dictionary of inputs plt_types : string or list or None Sub select some plotting types (e.g heatmap, line etc.). If None, all typ... | 3.279682 | 3 |
fizzbuzz_for_02.py | toastyxen/FizzBuzz | 0 | 10203 | """Fizzbuzz for loop variant 3"""
for x in range(1, 101):
OUTPUT = ""
if x % 3 == 0:
OUTPUT += "Fizz"
if x % 5 == 0:
OUTPUT += "Buzz"
print(OUTPUT or x)
| """Fizzbuzz for loop variant 3"""
for x in range(1, 101):
OUTPUT = ""
if x % 3 == 0:
OUTPUT += "Fizz"
if x % 5 == 0:
OUTPUT += "Buzz"
print(OUTPUT or x)
| en | 0.564812 | Fizzbuzz for loop variant 3 | 3.897786 | 4 |
cnn/struct/layer/parse_tensor_module.py | hslee1539/GIS_GANs | 0 | 10204 | from tensor.main_module import Tensor
import numpy as np
def getTensor(value):
if type(value) is np.ndarray:
return Tensor.numpy2Tensor(value)
elif type(value) is Tensor:
return value
else:
raise Exception | from tensor.main_module import Tensor
import numpy as np
def getTensor(value):
if type(value) is np.ndarray:
return Tensor.numpy2Tensor(value)
elif type(value) is Tensor:
return value
else:
raise Exception | none | 1 | 2.842778 | 3 | |
openstack_dashboard/dashboards/admin/volume_types/qos_specs/forms.py | hemantsonawane95/horizon-apelby | 0 | 10205 | <reponame>hemantsonawane95/horizon-apelby<filename>openstack_dashboard/dashboards/admin/volume_types/qos_specs/forms.py
# 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.apach... | # 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 writing, software
# distributed under t... | en | 0.789195 | # 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 writing, software # distributed under t... | 1.806878 | 2 |
data_structure/const_tree.py | alipay/StructuredLM_RTDT | 42 | 10206 | <reponame>alipay/StructuredLM_RTDT
# coding=utf-8
# Copyright (c) 2021 <NAME>
import sys
LABEL_SEP = '@'
INDENT_STRING1 = '│ '
INDENT_STRING2 = '├──'
EMPTY_TOKEN = '___EMPTY___'
def print_tree(const_tree, indent=0, out=sys.stdout):
for i in range(indent - 1):
out.write(INDENT_STRING1)
if indent >... | # coding=utf-8
# Copyright (c) 2021 <NAME>
import sys
LABEL_SEP = '@'
INDENT_STRING1 = '│ '
INDENT_STRING2 = '├──'
EMPTY_TOKEN = '___EMPTY___'
def print_tree(const_tree, indent=0, out=sys.stdout):
for i in range(indent - 1):
out.write(INDENT_STRING1)
if indent > 0:
out.write(INDENT_STRING... | en | 0.743059 | # coding=utf-8 # Copyright (c) 2021 <NAME> # is lexicon Construct ConstTree from parenthesis representation. :param string: string of parenthesis representation :return: ConstTree root and all leaf Lexicons | 3.503178 | 4 |
tests/test_minimize.py | The-Ludwig/iminuit | 0 | 10207 | <filename>tests/test_minimize.py
import pytest
from iminuit import minimize
import numpy as np
from numpy.testing import assert_allclose, assert_equal
opt = pytest.importorskip("scipy.optimize")
def func(x, *args):
c = args[0] if args else 1
return c + x[0] ** 2 + (x[1] - 1) ** 2 + (x[2] - 2) ** 2
def grad... | <filename>tests/test_minimize.py
import pytest
from iminuit import minimize
import numpy as np
from numpy.testing import assert_allclose, assert_equal
opt = pytest.importorskip("scipy.optimize")
def func(x, *args):
c = args[0] if args else 1
return c + x[0] ** 2 + (x[1] - 1) ** 2 + (x[2] - 2) ** 2
def grad... | none | 1 | 2.427253 | 2 | |
murtanto/parsing.py | amandatv20/botfb | 1 | 10208 | <filename>murtanto/parsing.py
# coded by: salism3
# 23 - 05 - 2020 23:18 (<NAME>)
from bs4 import BeautifulSoup as parser
from . import sorting
import re
def to_bs4(html):
return parser(html, "html.parser")
def refsrc(html):
return True if re.search(r'http.+\Wrefsrc', html) else False
def parsing_hre... | <filename>murtanto/parsing.py
# coded by: salism3
# 23 - 05 - 2020 23:18 (<NAME>)
from bs4 import BeautifulSoup as parser
from . import sorting
import re
def to_bs4(html):
return parser(html, "html.parser")
def refsrc(html):
return True if re.search(r'http.+\Wrefsrc', html) else False
def parsing_hre... | en | 0.44789 | # coded by: salism3 # 23 - 05 - 2020 23:18 (<NAME>) | 2.850233 | 3 |
test/test_watchdog_status.py | ike709/tgs4-api-pyclient | 0 | 10209 | # coding: utf-8
"""
TGS API
A production scale tool for BYOND server management # noqa: E501
OpenAPI spec version: 9.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.model... | # coding: utf-8
"""
TGS API
A production scale tool for BYOND server management # noqa: E501
OpenAPI spec version: 9.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import swagger_client
from swagger_client.model... | en | 0.55272 | # coding: utf-8 TGS API A production scale tool for BYOND server management # noqa: E501 OpenAPI spec version: 9.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git # noqa: E501 WatchdogStatus unit test stubs Test WatchdogStatus # FIXME: construct object with mandatory attributes wi... | 1.742767 | 2 |
setup.py | joesan/housing-classification-example | 0 | 10210 | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Python codebase for the housing classification ML problem',
author='Joesan',
license='',
)
| from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Python codebase for the housing classification ML problem',
author='Joesan',
license='',
)
| none | 1 | 1.049739 | 1 | |
tests/test_models/test_backbones/test_sr_backbones/test_edvr_net.py | wangruohui/mmediting | 45 | 10211 | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmedit.models.backbones.sr_backbones.edvr_net import (EDVRNet,
PCDAlignment,
TSAFusion)
def test_pcd_alignment():
"... | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmedit.models.backbones.sr_backbones.edvr_net import (EDVRNet,
PCDAlignment,
TSAFusion)
def test_pcd_alignment():
"... | en | 0.78364 | # Copyright (c) OpenMMLab. All rights reserved. Test PCDAlignment. # cpu # gpu Test TSAFusion. # cpu # gpu Test EDVRNet. # cpu # with tsa # without tsa # The height and width of inputs should be a multiple of 4 # pretrained should be str or None # gpu # with tsa # without tsa # The height and width of inputs should be ... | 2.108957 | 2 |
mat2py/core/datastoreio.py | mat2py/mat2py | 0 | 10212 | # type: ignore
__all__ = [
"readDatastoreImage",
"datastore",
]
def readDatastoreImage(*args):
raise NotImplementedError("readDatastoreImage")
def datastore(*args):
raise NotImplementedError("datastore")
| # type: ignore
__all__ = [
"readDatastoreImage",
"datastore",
]
def readDatastoreImage(*args):
raise NotImplementedError("readDatastoreImage")
def datastore(*args):
raise NotImplementedError("datastore")
| it | 0.190853 | # type: ignore | 1.800924 | 2 |
enjoliver-api/tests/test_generate_groups.py | netturpin/enjoliver | 11 | 10213 | import os
from shutil import rmtree
from tempfile import mkdtemp
from unittest import TestCase
from enjoliver import generator
class GenerateGroupTestCase(TestCase):
api_uri = None
test_matchbox_path = None
test_resources_path = None
tests_path = None
@classmethod
def setUpClass(cls):
... | import os
from shutil import rmtree
from tempfile import mkdtemp
from unittest import TestCase
from enjoliver import generator
class GenerateGroupTestCase(TestCase):
api_uri = None
test_matchbox_path = None
test_resources_path = None
tests_path = None
@classmethod
def setUpClass(cls):
... | none | 1 | 2.376044 | 2 | |
HackerRank/Calendar Module/solution.py | nikku1234/Code-Practise | 9 | 10214 | # Enter your code here. Read input from STDIN. Print output to STDOUT
import calendar
mm,dd,yyyy = map(int,input().split())
day = ["MONDAY","TUESDAY","WEDNESDAY","THURSDAY","FRIDAY","SATURDAY","SUNDAY"]
val = int (calendar.weekday(yyyy,mm,dd))
print(day[val])
| # Enter your code here. Read input from STDIN. Print output to STDOUT
import calendar
mm,dd,yyyy = map(int,input().split())
day = ["MONDAY","TUESDAY","WEDNESDAY","THURSDAY","FRIDAY","SATURDAY","SUNDAY"]
val = int (calendar.weekday(yyyy,mm,dd))
print(day[val])
| en | 0.824269 | # Enter your code here. Read input from STDIN. Print output to STDOUT | 3.817077 | 4 |
scale/trigger/models.py | stevevarner/scale | 0 | 10215 | """Defines the models for trigger rules and events"""
from __future__ import unicode_literals
import django.contrib.postgres.fields
from django.db import models, transaction
from django.utils.timezone import now
class TriggerEventManager(models.Manager):
"""Provides additional methods for handling trigger events... | """Defines the models for trigger rules and events"""
from __future__ import unicode_literals
import django.contrib.postgres.fields
from django.db import models, transaction
from django.utils.timezone import now
class TriggerEventManager(models.Manager):
"""Provides additional methods for handling trigger events... | en | 0.757686 | Defines the models for trigger rules and events Provides additional methods for handling trigger events Creates a new trigger event and returns the event model. The given rule model, if not None, must have already been saved in the database (it must have an ID). The returned trigger event model will be saved in... | 2.763077 | 3 |
leetcode/0506_relative_ranks.py | chaosWsF/Python-Practice | 0 | 10216 | """
Given scores of N athletes, find their relative ranks and the people with the top
three highest scores, who will be awarded medals: "Gold Medal", "Silver Medal" and
"Bronze Medal".
Example 1:
Input: [5, 4, 3, 2, 1]
Output: ["Gold Medal", "Silver Medal", "Bronze Medal", "4", "5"]
Explanation: The fir... | """
Given scores of N athletes, find their relative ranks and the people with the top
three highest scores, who will be awarded medals: "Gold Medal", "Silver Medal" and
"Bronze Medal".
Example 1:
Input: [5, 4, 3, 2, 1]
Output: ["Gold Medal", "Silver Medal", "Bronze Medal", "4", "5"]
Explanation: The fir... | en | 0.931818 | Given scores of N athletes, find their relative ranks and the people with the top three highest scores, who will be awarded medals: "Gold Medal", "Silver Medal" and "Bronze Medal". Example 1: Input: [5, 4, 3, 2, 1] Output: ["Gold Medal", "Silver Medal", "Bronze Medal", "4", "5"] Explanation: The first t... | 4.113877 | 4 |
barriers/models/history/assessments/economic_impact.py | felix781/market-access-python-frontend | 1 | 10217 | from ..base import BaseHistoryItem, GenericHistoryItem
from ..utils import PolymorphicBase
class ArchivedHistoryItem(BaseHistoryItem):
field = "archived"
field_name = "Valuation assessment: Archived"
def get_value(self, value):
if value is True:
return "Archived"
elif value is... | from ..base import BaseHistoryItem, GenericHistoryItem
from ..utils import PolymorphicBase
class ArchivedHistoryItem(BaseHistoryItem):
field = "archived"
field_name = "Valuation assessment: Archived"
def get_value(self, value):
if value is True:
return "Archived"
elif value is... | none | 1 | 2.689965 | 3 | |
link_prob_show.py | Rheinwalt/spatial-effects-networks | 3 | 10218 | <filename>link_prob_show.py
import sys
import numpy as np
from sern import *
ids, lon, lat = np.loadtxt('nodes', unpack = True)
links = np.loadtxt('links', dtype = 'int')
A, b = AdjacencyMatrix(ids, links)
lon, lat = lon[b], lat[b]
n = A.shape[0]
# LinkProbability expects A as triu
A = A[np.triu_indices(n, 1)]
# pla... | <filename>link_prob_show.py
import sys
import numpy as np
from sern import *
ids, lon, lat = np.loadtxt('nodes', unpack = True)
links = np.loadtxt('links', dtype = 'int')
A, b = AdjacencyMatrix(ids, links)
lon, lat = lon[b], lat[b]
n = A.shape[0]
# LinkProbability expects A as triu
A = A[np.triu_indices(n, 1)]
# pla... | en | 0.989835 | # LinkProbability expects A as triu # play around with the scale, maybe you don't need log binning? | 2.420012 | 2 |
controller/components/app.py | isabella232/flight-lab | 15 | 10219 | # Copyright 2018 Flight Lab authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | # Copyright 2018 Flight Lab authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | en | 0.859134 | # Copyright 2018 Flight Lab authors. # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in w... | 2.215003 | 2 |
botorch/acquisition/__init__.py | jmren168/botorch | 1 | 10220 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .acquisition import AcquisitionFunction
from .analytic import (
AnalyticAcquisitionFunction,
ConstrainedExpectedImprovement,
ExpectedImprovement,
NoisyExpectedImprovement,
PosteriorMean,
Probabil... | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .acquisition import AcquisitionFunction
from .analytic import (
AnalyticAcquisitionFunction,
ConstrainedExpectedImprovement,
ExpectedImprovement,
NoisyExpectedImprovement,
PosteriorMean,
Probabil... | en | 0.797894 | #!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved | 1.340029 | 1 |
examples/pybullet/gym/pybullet_envs/minitaur/envs/env_randomizers/minitaur_alternating_legs_env_randomizer.py | felipeek/bullet3 | 9,136 | 10221 | """Randomize the minitaur_gym_alternating_leg_env when reset() is called.
The randomization include swing_offset, extension_offset of all legs that mimics
bent legs, desired_pitch from user input, battery voltage and motor damping.
"""
import os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(in... | """Randomize the minitaur_gym_alternating_leg_env when reset() is called.
The randomization include swing_offset, extension_offset of all legs that mimics
bent legs, desired_pitch from user input, battery voltage and motor damping.
"""
import os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(in... | en | 0.691932 | Randomize the minitaur_gym_alternating_leg_env when reset() is called. The randomization include swing_offset, extension_offset of all legs that mimics bent legs, desired_pitch from user input, battery voltage and motor damping. # Absolute range. A randomizer that changes the minitaur_gym_alternating_leg_env. | 2.704479 | 3 |
pygsti/modelmembers/states/tensorprodstate.py | pyGSTi-Developers/pyGSTi | 73 | 10222 | """
The TensorProductState class and supporting functionality.
"""
#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.... | """
The TensorProductState class and supporting functionality.
"""
#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.... | en | 0.753729 | The TensorProductState class and supporting functionality. #*************************************************************************************************** # Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS). # Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Gover... | 1.80285 | 2 |
edivorce/apps/core/views/graphql.py | gerritvdm/eDivorce | 6 | 10223 | <filename>edivorce/apps/core/views/graphql.py
import graphene
import graphene_django
from django.http import HttpResponseForbidden
from graphene_django.views import GraphQLView
from graphql import GraphQLError
from edivorce.apps.core.models import Document
class PrivateGraphQLView(GraphQLView):
def dispatch(self... | <filename>edivorce/apps/core/views/graphql.py
import graphene
import graphene_django
from django.http import HttpResponseForbidden
from graphene_django.views import GraphQLView
from graphql import GraphQLError
from edivorce.apps.core.models import Document
class PrivateGraphQLView(GraphQLView):
def dispatch(self... | none | 1 | 2.255126 | 2 | |
amazing/maze.py | danieloconell/maze-solver | 0 | 10224 | from .exceptions import MazeNotSolved, AlgorithmNotFound
from .dijkstra import Dijkstra
from .astar import Astar
from functools import wraps
import warnings
from daedalus import Maze as _maze
from PIL import Image
warnings.simplefilter("once", UserWarning)
class Maze:
"""
Create a maze and solve it.
A... | from .exceptions import MazeNotSolved, AlgorithmNotFound
from .dijkstra import Dijkstra
from .astar import Astar
from functools import wraps
import warnings
from daedalus import Maze as _maze
from PIL import Image
warnings.simplefilter("once", UserWarning)
class Maze:
"""
Create a maze and solve it.
A... | en | 0.809515 | Create a maze and solve it. Available algorithms: dijkstra astar (WIP) Steps: 1. Create maze using the daedalus library. 2. Convert maze to graph. 3. Solve maze with algorithm. Set algorithm to be used when solving. Args: algorithm (str) to be used when solving ... | 3.357956 | 3 |
config.py | FarbodFarhangfar/midi_player_python | 0 | 10225 | <reponame>FarbodFarhangfar/midi_player_python
import os
def get_note_dic():
_note_dic = {'C': 0, 'C#': 1, 'Db': 1, 'D': 2, 'D#': 3, 'Eb': 3, 'E': 4, 'F': 5, 'F#': 6,
'Gb': 6, 'G': 7,
'G#': 8, 'Ab': 8, 'A': 9, 'A#': 10, 'Bb': 10, 'B': 11}
return _note_dic
def get_value_list(... | import os
def get_note_dic():
_note_dic = {'C': 0, 'C#': 1, 'Db': 1, 'D': 2, 'D#': 3, 'Eb': 3, 'E': 4, 'F': 5, 'F#': 6,
'Gb': 6, 'G': 7,
'G#': 8, 'Ab': 8, 'A': 9, 'A#': 10, 'Bb': 10, 'B': 11}
return _note_dic
def get_value_list():
values = {"16": 16, "8": 8, "4": 4, "2"... | en | 0.497871 | #': 1, 'Db': 1, 'D': 2, 'D#': 3, 'Eb': 3, 'E': 4, 'F': 5, 'F#': 6, #': 8, 'Ab': 8, 'A': 9, 'A#': 10, 'Bb': 10, 'B': 11} # Piano # Chromatic Percussion # Organ # Guitar # Bass # Strings # Ensemble # Brass # Reed # Pipe # Synth Lead # Synth Pad # Synth Effects # Ethnic # Percussive # Sound effects | 2.8247 | 3 |
roles/openshift_health_checker/library/ocutil.py | shgriffi/openshift-ansible | 164 | 10226 | #!/usr/bin/python
"""Interface to OpenShift oc command"""
import os
import shlex
import shutil
import subprocess
from ansible.module_utils.basic import AnsibleModule
ADDITIONAL_PATH_LOOKUPS = ['/usr/local/bin', os.path.expanduser('~/bin')]
def locate_oc_binary():
"""Find and return oc binary file"""
# htt... | #!/usr/bin/python
"""Interface to OpenShift oc command"""
import os
import shlex
import shutil
import subprocess
from ansible.module_utils.basic import AnsibleModule
ADDITIONAL_PATH_LOOKUPS = ['/usr/local/bin', os.path.expanduser('~/bin')]
def locate_oc_binary():
"""Find and return oc binary file"""
# htt... | en | 0.793541 | #!/usr/bin/python Interface to OpenShift oc command Find and return oc binary file # https://github.com/openshift/openshift-ansible/issues/3410 # oc can be in /usr/local/bin in some cases, but that may not # be in $PATH due to ansible/sudo # Use shutil.which if it is available, otherwise fallback to a naive path search... | 2.471472 | 2 |
code/network/__init__.py | michalochman/complex-networks | 0 | 10227 | import fractions
class Network(object):
def __init__(self, network):
self.network = network
def degree(self, link_type, key):
return len(self.network.get(link_type).get(key))
def average_degree(self, link_type):
degree = 0
for link in self.network.get(link_type).itervalue... | import fractions
class Network(object):
def __init__(self, network):
self.network = network
def degree(self, link_type, key):
return len(self.network.get(link_type).get(key))
def average_degree(self, link_type):
degree = 0
for link in self.network.get(link_type).itervalue... | none | 1 | 3.337132 | 3 | |
invoke_ansible.py | samvarankashyap/ansible_api_usage | 0 | 10228 | import ansible
import pprint
from ansible import utils
from jinja2 import Environment, PackageLoader
from collections import namedtuple
from ansible import utils
from ansible.parsing.dataloader import DataLoader
from ansible.vars import VariableManager
from ansible.inventory import Inventory
from ansible.executor.playb... | import ansible
import pprint
from ansible import utils
from jinja2 import Environment, PackageLoader
from collections import namedtuple
from ansible import utils
from ansible.parsing.dataloader import DataLoader
from ansible.vars import VariableManager
from ansible.inventory import Inventory
from ansible.executor.playb... | en | 0.212026 | Invokes playbook | 2.031261 | 2 |
bin/python/csv2es.py | reid-wagner/proteomics-pipelines | 2 | 10229 | #!/usr/bin/env python3
import itertools
import string
from elasticsearch import Elasticsearch,helpers
import sys
import os
from glob import glob
import pandas as pd
import json
host = sys.argv[1]
port = int(sys.argv[2])
alias = sys.argv[3]
print(host)
print(port)
print(alias)
es = Elasticsearch([{'host':... | #!/usr/bin/env python3
import itertools
import string
from elasticsearch import Elasticsearch,helpers
import sys
import os
from glob import glob
import pandas as pd
import json
host = sys.argv[1]
port = int(sys.argv[2])
alias = sys.argv[3]
print(host)
print(port)
print(alias)
es = Elasticsearch([{'host':... | en | 0.575823 | #!/usr/bin/env python3 # create our test index # Get all csv files in /root/data # Make sure there is no duplicate indexing # Create an index table in elasticsearch to locate the files | 2.789907 | 3 |
main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py | jason424217/Artificial-Code-Gen | 0 | 10230 | <filename>main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py<gh_stars>0
print a
if b:
if c:
d
e
| <filename>main/src/preparation/parsers/tree-sitter-python/examples/crlf-line-endings.py<gh_stars>0
print a
if b:
if c:
d
e
| none | 1 | 1.835831 | 2 | |
Src/main.py | DukeA/DAT02X-19-03-MachineLearning-Starcraft2 | 0 | 10231 |
from absl import app
from mainLoop import main
if __name__ == '__main__':
app.run(main)
|
from absl import app
from mainLoop import main
if __name__ == '__main__':
app.run(main)
| none | 1 | 1.250541 | 1 | |
bos_sarcat_scraper/__main__.py | hysds/bos_sarcat_scraper | 1 | 10232 | <gh_stars>1-10
from __future__ import absolute_import
from builtins import str
from builtins import input
import sys
import argparse
from . import bosart_scrape
import datetime
import json
def valid_date(s):
try:
try:
date = datetime.datetime.strptime(s, "%Y-%m-%dT%H:%M:%S.%fZ")
except... | from __future__ import absolute_import
from builtins import str
from builtins import input
import sys
import argparse
from . import bosart_scrape
import datetime
import json
def valid_date(s):
try:
try:
date = datetime.datetime.strptime(s, "%Y-%m-%dT%H:%M:%S.%fZ")
except:
d... | en | 0.404797 | # construct the parameter list based on user specified restrictions | 2.897735 | 3 |
vgm2electron.py | simondotm/vgm2electron | 2 | 10233 | #!/usr/bin/env python
# vgm2electron.py
# Tool for converting SN76489-based PSG VGM data to Acorn Electron
# By <NAME> (https://github.com/simondotm/)
# See https://github.com/simondotm/vgm-packer
#
# Copyright (c) 2019 <NAME>. All rights reserved.
#
# "MIT License":
# Permission is hereby granted, free of charge, to a... | #!/usr/bin/env python
# vgm2electron.py
# Tool for converting SN76489-based PSG VGM data to Acorn Electron
# By <NAME> (https://github.com/simondotm/)
# See https://github.com/simondotm/vgm-packer
#
# Copyright (c) 2019 <NAME>. All rights reserved.
#
# "MIT License":
# Permission is hereby granted, free of charge, to a... | en | 0.590557 | #!/usr/bin/env python # vgm2electron.py # Tool for converting SN76489-based PSG VGM data to Acorn Electron # By <NAME> (https://github.com/simondotm/) # See https://github.com/simondotm/vgm-packer # # Copyright (c) 2019 <NAME>. All rights reserved. # # "MIT License": # Permission is hereby granted, free of charge, to a... | 1.670812 | 2 |
twitter_sent.py | rthorst/TwitterSentiment | 6 | 10234 | <gh_stars>1-10
import webapp2
import tweepy
import json
import csv
import os
import statistics
import bokeh
from bokeh.io import show, output_file
from bokeh.plotting import figure
from bokeh.models import HoverTool, ColumnDataSource
from bokeh.embed import components, json_item
from bokeh.resources import INLINE
from ... | import webapp2
import tweepy
import json
import csv
import os
import statistics
import bokeh
from bokeh.io import show, output_file
from bokeh.plotting import figure
from bokeh.models import HoverTool, ColumnDataSource
from bokeh.embed import components, json_item
from bokeh.resources import INLINE
from bokeh.models.gl... | en | 0.824098 | ---AUTHOR: --- <NAME> <EMAIL> ---LICENSE: --- MIT License. ---ABOUT: --- Application to get the sentiment of recent tweets based on a keyword. Example: keyword -> "taco bell" retrieve 300 recent tweets mentioning taco bell. get average sentiment. plot distribution of tweets and sentiment. plot mo... | 2.989811 | 3 |
tests/testcgatools.py | ereide/pyga-camcal | 5 | 10235 | <reponame>ereide/pyga-camcal<gh_stars>1-10
import unittest
import clifford as cl
from clifford import g3c
from numpy import pi, e
import numpy as np
from scipy.sparse.linalg.matfuncs import _sinch as sinch
from clifford import MultiVector
from pygacal.common.cgatools import ( Sandwich, Dilator, Translator, Reflec... | import unittest
import clifford as cl
from clifford import g3c
from numpy import pi, e
import numpy as np
from scipy.sparse.linalg.matfuncs import _sinch as sinch
from clifford import MultiVector
from pygacal.common.cgatools import ( Sandwich, Dilator, Translator, Reflector,
inversion, Ro... | en | 0.775235 | #Plane to line #How do we define order/direction? #Rotation amount #Rotation Plane #Translation vector #Decomposition into normal component #Decomposition into paralel component #Normal to P #Normal to P #Parallel to P #Parallel to P #Non zero product #Rotor properties #Equalities #Random bivectors to test this as well... | 2.070098 | 2 |
router/posts.py | DiegoLing33/prestij.xyz-api | 0 | 10236 | # ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗
# ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝
# ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░
# ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░
# ███████╗██║██... | # ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗
# ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝
# ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░
# ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░
# ███████╗██║██... | en | 0.085405 | # ██╗░░░░░██╗███╗░░██╗░██████╗░░░░██████╗░██╗░░░░░░█████╗░░█████╗░██╗░░██╗ # ██║░░░░░██║████╗░██║██╔════╝░░░░██╔══██╗██║░░░░░██╔══██╗██╔══██╗██║░██╔╝ # ██║░░░░░██║██╔██╗██║██║░░██╗░░░░██████╦╝██║░░░░░███████║██║░░╚═╝█████═╝░ # ██║░░░░░██║██║╚████║██║░░╚██╗░░░██╔══██╗██║░░░░░██╔══██║██║░░██╗██╔═██╗░ # ███████╗██║██... | 2.165511 | 2 |
toontown/catalog/CatalogChatBalloon.py | CrankySupertoon01/Toontown-2 | 1 | 10237 | <filename>toontown/catalog/CatalogChatBalloon.py
from pandac.PandaModules import *
class CatalogChatBalloon:
TEXT_SHIFT = (0.1, -0.05, 1.1)
TEXT_SHIFT_REVERSED = -0.05
TEXT_SHIFT_PROP = 0.08
NATIVE_WIDTH = 10.0
MIN_WIDTH = 2.5
MIN_HEIGHT = 1
BUBBLE_PADDING = 0.3
BUBBLE_PADDING_PROP = 0.... | <filename>toontown/catalog/CatalogChatBalloon.py
from pandac.PandaModules import *
class CatalogChatBalloon:
TEXT_SHIFT = (0.1, -0.05, 1.1)
TEXT_SHIFT_REVERSED = -0.05
TEXT_SHIFT_PROP = 0.08
NATIVE_WIDTH = 10.0
MIN_WIDTH = 2.5
MIN_HEIGHT = 1
BUBBLE_PADDING = 0.3
BUBBLE_PADDING_PROP = 0.... | en | 0.842173 | # Add balloon geometry: # Render the text into a TextNode, using the font: # Turn off depth write for the text: The place in the depth buffer is # held by the chat bubble anyway, and the text renders after the bubble # so there's no risk of the bubble overwriting the text's pixels. # The nametag code wants the text on ... | 2.802248 | 3 |
TTS/vocoder/tf/utils/io.py | mightmay/Mien-TTS | 0 | 10238 | import datetime
import pickle
import tensorflow as tf
def save_checkpoint(model, current_step, epoch, output_path, **kwargs):
""" Save TF Vocoder model """
state = {
'model': model.weights,
'step': current_step,
'epoch': epoch,
'date': datetime.date.today().strftime("%B %d, %Y"... | import datetime
import pickle
import tensorflow as tf
def save_checkpoint(model, current_step, epoch, output_path, **kwargs):
""" Save TF Vocoder model """
state = {
'model': model.weights,
'step': current_step,
'epoch': epoch,
'date': datetime.date.today().strftime("%B %d, %Y"... | en | 0.399366 | Save TF Vocoder model Load TF Vocoder model | 2.468851 | 2 |
tests/test_path_choice.py | jataware/flee | 3 | 10239 | <reponame>jataware/flee
from flee import flee
"""
Generation 1 code. Incorporates only distance, travel always takes one day.
"""
def test_path_choice():
print("Testing basic data handling and simulation kernel.")
flee.SimulationSettings.MinMoveSpeed = 5000.0
flee.SimulationSettings.MaxMoveSpeed = 5000.... | from flee import flee
"""
Generation 1 code. Incorporates only distance, travel always takes one day.
"""
def test_path_choice():
print("Testing basic data handling and simulation kernel.")
flee.SimulationSettings.MinMoveSpeed = 5000.0
flee.SimulationSettings.MaxMoveSpeed = 5000.0
flee.SimulationSet... | en | 0.281603 | Generation 1 code. Incorporates only distance, travel always takes one day. # l2 = e.addLocation(name="B", movechance=1.0) # l3 = e.addLocation(name="C1", movechance=1.0) # l4 = e.addLocation(name="C2", movechance=1.0) # l5 = e.addLocation(name="D1", movechance=1.0) # l6 = e.addLocation(name="D2", movechance=1.0) # l7 ... | 2.96455 | 3 |
archive/old_plots/plot_supplemental_divergence_correlations.py | garudlab/mother_infant | 2 | 10240 | <reponame>garudlab/mother_infant<filename>archive/old_plots/plot_supplemental_divergence_correlations.py
import matplotlib
matplotlib.use('Agg')
import config
import parse_midas_data
import parse_HMP_data
import os.path
import pylab
import sys
import numpy
import diversity_utils
import gene_diversity_utils
import c... | import matplotlib
matplotlib.use('Agg')
import config
import parse_midas_data
import parse_HMP_data
import os.path
import pylab
import sys
import numpy
import diversity_utils
import gene_diversity_utils
import calculate_substitution_rates
import stats_utils
import matplotlib.colors as colors
import matplotlib.cm a... | en | 0.498721 | ################################################################################ # # Standard header to read in argument information # ################################################################################ ################################################################################ #######################... | 2.018415 | 2 |
multivis/plotFeatures.py | brettChapman/cimcb_vis | 1 | 10241 | import sys
import copy
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from .utils import *
import numpy as np
import pandas as pd
class plotFeatures:
usage = """Produces different feature plots given a data table and peak table.
Initial_Paramete... | import sys
import copy
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from .utils import *
import numpy as np
import pandas as pd
class plotFeatures:
usage = """Produces different feature plots given a data table and peak table.
Initial_Paramete... | en | 0.600224 | Produces different feature plots given a data table and peak table. Initial_Parameters ---------- peaktable : Pandas dataframe containing peak data. Must contain 'Name' and 'Label'. datatable : Pandas dataframe containing matrix of values to plot (N samples x N features)... | 3.178132 | 3 |
core/data/DataWriter.py | berendkleinhaneveld/Registrationshop | 25 | 10242 | <reponame>berendkleinhaneveld/Registrationshop<gh_stars>10-100
"""
DataWriter.py
"""
from DataController import DataController
from DataReader import DataReader
from vtk import vtkMetaImageWriter
from vtk import vtkXMLImageDataWriter
class DataWriter(DataController):
"""
DataWriter writes an image data object to
... | """
DataWriter.py
"""
from DataController import DataController
from DataReader import DataReader
from vtk import vtkMetaImageWriter
from vtk import vtkXMLImageDataWriter
class DataWriter(DataController):
"""
DataWriter writes an image data object to
disk using the provided format.
"""
def __init__(self):
sup... | en | 0.563685 | DataWriter.py DataWriter writes an image data object to disk using the provided format. | 2.945427 | 3 |
parkings/models/permit.py | klemmari1/parkkihubi | 12 | 10243 | from itertools import chain
from django.conf import settings
from django.contrib.gis.db import models as gis_models
from django.db import models, router, transaction
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from ..fields import CleaningJsonField
from ..validators import... | from itertools import chain
from django.conf import settings
from django.contrib.gis.db import models as gis_models
from django.db import models, router, transaction
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from ..fields import CleaningJsonField
from ..validators import... | none | 1 | 1.983396 | 2 | |
poi_mining/biz/LSA/logEntropy.py | yummydeli/machine_learning | 1 | 10244 | <filename>poi_mining/biz/LSA/logEntropy.py
#!/usr/bin/env python
# encoding:utf-8
# ##############################################################################
# The MIT License (MIT)
#
# Copyright (c) [2015] [baidu.com]
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this soft... | <filename>poi_mining/biz/LSA/logEntropy.py
#!/usr/bin/env python
# encoding:utf-8
# ##############################################################################
# The MIT License (MIT)
#
# Copyright (c) [2015] [baidu.com]
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this soft... | en | 0.504559 | #!/usr/bin/env python # encoding:utf-8 # ############################################################################## # The MIT License (MIT) # # Copyright (c) [2015] [baidu.com] # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the... | 1.218488 | 1 |
Python/swap_numbers.py | saurabhcommand/Hello-world | 1,428 | 10245 | a = 5
b = 7
a,b = b,a
print a
print b
| a = 5
b = 7
a,b = b,a
print a
print b
| none | 1 | 2.308451 | 2 | |
algorithms/tests/test_unionfind.py | tommyod/PythonAlgorithms | 1 | 10246 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Tests for the union find data structure.
"""
try:
from ..unionfind import UnionFind
except ValueError:
pass
def test_unionfind_basics():
"""
Test the basic properties of unionfind.
"""
u = UnionFind([1, 2, 3])
assert u.in_same_set(1,... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Tests for the union find data structure.
"""
try:
from ..unionfind import UnionFind
except ValueError:
pass
def test_unionfind_basics():
"""
Test the basic properties of unionfind.
"""
u = UnionFind([1, 2, 3])
assert u.in_same_set(1,... | en | 0.808516 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- Tests for the union find data structure. Test the basic properties of unionfind. Test adding operations, mostly syntactic sugar. Test on a slightly more invovled example. Test that we can take union of more than two elements. Test path compression and the union by rank. # ... | 3.456439 | 3 |
a3/ga.py | mishless/LearningSystems | 1 | 10247 | <filename>a3/ga.py
# Genetic Algorithm for solving the Traveling Salesman problem
# Authors: <NAME>, <NAME>
# Includes
import configparser
import math
import matplotlib.pyplot as plt
import numpy
import random
import sys
from operator import itemgetter
#Global variables(yay!)
# Configuration variables(read from co... | <filename>a3/ga.py
# Genetic Algorithm for solving the Traveling Salesman problem
# Authors: <NAME>, <NAME>
# Includes
import configparser
import math
import matplotlib.pyplot as plt
import numpy
import random
import sys
from operator import itemgetter
#Global variables(yay!)
# Configuration variables(read from co... | en | 0.516051 | # Genetic Algorithm for solving the Traveling Salesman problem # Authors: <NAME>, <NAME> # Includes #Global variables(yay!) # Configuration variables(read from config.txt) # General global variables # We must begin at first city # Create list of city indexes # We must end at first city #" + str(i) + ": " + str(in... | 2.929989 | 3 |
products/migrations/0010_remove_product_updated_at.py | UB-ES-2021-A1/wannasell-backend | 0 | 10248 | # Generated by Django 3.2.8 on 2021-11-25 17:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('products', '0009_auto_20211125_1846'),
]
operations = [
migrations.RemoveField(
model_name='product',
name='updated_at',
... | # Generated by Django 3.2.8 on 2021-11-25 17:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('products', '0009_auto_20211125_1846'),
]
operations = [
migrations.RemoveField(
model_name='product',
name='updated_at',
... | en | 0.882256 | # Generated by Django 3.2.8 on 2021-11-25 17:50 | 1.295391 | 1 |
ResumeAnalyser/apps.py | samyakj2307/recruitai_resume_backend | 0 | 10249 | <gh_stars>0
from django.apps import AppConfig
class ResumeanalyserConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'ResumeAnalyser'
| from django.apps import AppConfig
class ResumeanalyserConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'ResumeAnalyser' | none | 1 | 1.263755 | 1 | |
plugins/core/player_manager_plugin/__init__.py | StarryPy/StarryPy-Historic | 38 | 10250 | <filename>plugins/core/player_manager_plugin/__init__.py<gh_stars>10-100
from plugins.core.player_manager_plugin.plugin import PlayerManagerPlugin
from plugins.core.player_manager_plugin.manager import (
Banned,
UserLevels,
permissions,
PlayerManager
)
| <filename>plugins/core/player_manager_plugin/__init__.py<gh_stars>10-100
from plugins.core.player_manager_plugin.plugin import PlayerManagerPlugin
from plugins.core.player_manager_plugin.manager import (
Banned,
UserLevels,
permissions,
PlayerManager
)
| none | 1 | 1.208188 | 1 | |
src/config/svc-monitor/svc_monitor/services/loadbalancer/drivers/ha_proxy/custom_attributes/haproxy_validator.py | jnpr-pranav/contrail-controller | 37 | 10251 | from builtins import str
from builtins import range
from builtins import object
import logging
import inspect
import os
class CustomAttr(object):
"""This type handles non-flat data-types like
int, str, bool.
"""
def __init__(self, key, value):
self._value = value
self._key = key
... | from builtins import str
from builtins import range
from builtins import object
import logging
import inspect
import os
class CustomAttr(object):
"""This type handles non-flat data-types like
int, str, bool.
"""
def __init__(self, key, value):
self._value = value
self._key = key
... | en | 0.725463 | This type handles non-flat data-types like int, str, bool. #Sanitize the value | 2.978925 | 3 |
python/janitor/typecache.py | monkeyman79/janitor | 2 | 10252 |
import gdb
class TypeCache(object):
def __init__(self):
self.cache = {}
self.intptr_type = False
def clear(self):
self.cache = {}
self.intptr_type = False
def get_type(self, typename):
if typename in self.cache:
return self.cache[typename]
... |
import gdb
class TypeCache(object):
def __init__(self):
self.cache = {}
self.intptr_type = False
def clear(self):
self.cache = {}
self.intptr_type = False
def get_type(self, typename):
if typename in self.cache:
return self.cache[typename]
... | none | 1 | 2.447621 | 2 | |
key_phrase.py | Santara/autoSLR | 1 | 10253 | import os
import sys
directory = sys.argv[1]
outfile = open("key_phrases.csv","w")
files = {}
for filename in os.listdir(directory):
text=[]
with open(os.path.join(directory, filename)) as f:
text=[l.strip() for l in f if len(l.strip())>2]
data=''
for t in text:
if len(t.split()) > 1:
data = data+'. '+t.s... | import os
import sys
directory = sys.argv[1]
outfile = open("key_phrases.csv","w")
files = {}
for filename in os.listdir(directory):
text=[]
with open(os.path.join(directory, filename)) as f:
text=[l.strip() for l in f if len(l.strip())>2]
data=''
for t in text:
if len(t.split()) > 1:
data = data+'. '+t.s... | none | 1 | 2.646277 | 3 | |
tests/test_utils.py | aced-differentiate/dft-input-gen | 1 | 10254 | """Unit tests for helper utilities in :mod:`dftinputgen.utils`."""
import os
import pytest
from ase import io as ase_io
from dftinputgen.utils import get_elem_symbol
from dftinputgen.utils import read_crystal_structure
from dftinputgen.utils import get_kpoint_grid_from_spacing
from dftinputgen.utils import DftInputG... | """Unit tests for helper utilities in :mod:`dftinputgen.utils`."""
import os
import pytest
from ase import io as ase_io
from dftinputgen.utils import get_elem_symbol
from dftinputgen.utils import read_crystal_structure
from dftinputgen.utils import get_kpoint_grid_from_spacing
from dftinputgen.utils import DftInputG... | en | 0.726543 | Unit tests for helper utilities in :mod:`dftinputgen.utils`. # str with path to crystal structure file is OK # any other type of input should throw an error | 2.515499 | 3 |
core/models.py | nforesperance/Django-Channels-ChatApp | 2 | 10255 | from django.contrib.auth.models import User
from django.db.models import (Model, TextField, DateTimeField, ForeignKey,
CASCADE)
from asgiref.sync import async_to_sync
from channels.layers import get_channel_layer
from django.db import models
import json
class MessageModel(Model):
""... | from django.contrib.auth.models import User
from django.db.models import (Model, TextField, DateTimeField, ForeignKey,
CASCADE)
from asgiref.sync import async_to_sync
from channels.layers import get_channel_layer
from django.db import models
import json
class MessageModel(Model):
""... | en | 0.771246 | This class represents a chat message. It has a owner (user), timestamp and the message body. Toy function to count body characters. :return: body's char number Inform client there is a new message. Trims white spaces, saves the message and notifies the recipient via WS if the message is new. # Trimm... | 2.333341 | 2 |
backup/model.py | jsikyoon/ASNP-RMR | 8 | 10256 | <reponame>jsikyoon/ASNP-RMR
import tensorflow as tf
import numpy as np
# utility methods
def batch_mlp(input, output_sizes, variable_scope):
"""Apply MLP to the final axis of a 3D tensor (reusing already defined MLPs).
Args:
input: input tensor of shape [B,n,d_in].
output_sizes: An iterable containing t... | import tensorflow as tf
import numpy as np
# utility methods
def batch_mlp(input, output_sizes, variable_scope):
"""Apply MLP to the final axis of a 3D tensor (reusing already defined MLPs).
Args:
input: input tensor of shape [B,n,d_in].
output_sizes: An iterable containing the output sizes of the MLP a... | en | 0.72758 | # utility methods Apply MLP to the final axis of a 3D tensor (reusing already defined MLPs). Args: input: input tensor of shape [B,n,d_in]. output_sizes: An iterable containing the output sizes of the MLP as defined in `basic.Linear`. variable_scope: String giving the name of the variable scop... | 3.012563 | 3 |
minotaur/_minotaur.py | giannitedesco/minotaur | 172 | 10257 | <filename>minotaur/_minotaur.py
from typing import Dict, Tuple, Optional
from pathlib import Path
import asyncio
from ._mask import Mask
from ._event import Event
from ._base import InotifyBase
__all__ = ('Minotaur',)
class Notification:
__slots__ = (
'_path',
'_type',
'_isdir',
... | <filename>minotaur/_minotaur.py
from typing import Dict, Tuple, Optional
from pathlib import Path
import asyncio
from ._mask import Mask
from ._event import Event
from ._base import InotifyBase
__all__ = ('Minotaur',)
class Notification:
__slots__ = (
'_path',
'_type',
'_isdir',
... | en | 0.932626 | Fancy interface for Inotify which does questionable things like: 1. Resolve watch-descriptors back to paths (which races with renames of original paths and can't be used safely, but other inotify packages provide this feature, so here it is for your delectation). 2. Link rename_from/rename_to eve... | 2.328925 | 2 |
pyclustering/container/examples/__init__.py | JosephChataignon/pyclustering | 1,013 | 10258 | <reponame>JosephChataignon/pyclustering
"""!
@brief Collection of examples devoted to containers.
@authors <NAME> (<EMAIL>)
@date 2014-2020
@copyright BSD-3-Clause
""" | """!
@brief Collection of examples devoted to containers.
@authors <NAME> (<EMAIL>)
@date 2014-2020
@copyright BSD-3-Clause
""" | en | 0.532854 | !
@brief Collection of examples devoted to containers.
@authors <NAME> (<EMAIL>)
@date 2014-2020
@copyright BSD-3-Clause | 1.233931 | 1 |
novelty-detection/train_wood_vgg19.py | matherm/python-data-science | 1 | 10259 | <reponame>matherm/python-data-science
import argparse
import sys
import torch
import numpy as np
import torch.nn as nn
from torch.utils.data import DataLoader
from torchvision.datasets import MNIST
from torchvision.datasets import CIFAR10
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
pars... | import argparse
import sys
import torch
import numpy as np
import torch.nn as nn
from torch.utils.data import DataLoader
from torchvision.datasets import MNIST
from torchvision.datasets import CIFAR10
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(descripti... | de | 0.33531 | # TRAINING PARAMS # WOOD # Novelty # Train # Val ###################################################### # NORMAL DISTRIBUTION ###################################################### # Model # LOSS # INSTANTIATE OPTIMIZER #Evaluator # Activate matplotlib # CREATE A TRAINER # START TRAINING ###############################... | 2.441559 | 2 |
sample_architectures/cnn.py | hvarS/PyTorch-Refer | 0 | 10260 | # -*- coding: utf-8 -*-
"""CNN.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1Tq6HUya2PrC0SmyOIFo2c_eVtguRED2q
"""
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataL... | # -*- coding: utf-8 -*-
"""CNN.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1Tq6HUya2PrC0SmyOIFo2c_eVtguRED2q
"""
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataL... | en | 0.798453 | # -*- coding: utf-8 -*- CNN.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1Tq6HUya2PrC0SmyOIFo2c_eVtguRED2q #get data to cuda if possible #backward #gradient_descent or adam-step # Check the accuracy for the training step | 3.112416 | 3 |
aispace/layers/callbacks/qa_evaluators.py | SmileGoat/AiSpace | 32 | 10261 | <reponame>SmileGoat/AiSpace
# -*- coding: utf-8 -*-
# @Time : 2020-07-30 15:06
# @Author : yingyuankai
# @Email : <EMAIL>
# @File : qa_evaluators.py
import os
import logging
import numpy as np
import tensorflow as tf
import json
from pprint import pprint
from collections import defaultdict
from aispace.util... | # -*- coding: utf-8 -*-
# @Time : 2020-07-30 15:06
# @Author : yingyuankai
# @Email : <EMAIL>
# @File : qa_evaluators.py
import os
import logging
import numpy as np
import tensorflow as tf
import json
from pprint import pprint
from collections import defaultdict
from aispace.utils.eval_utils import calc_em_... | en | 0.509923 | # -*- coding: utf-8 -*- # @Time : 2020-07-30 15:06 # @Author : yingyuankai # @Email : <EMAIL> # @File : qa_evaluators.py start_top_log_prob and end_top_log_prob's shape is [batch, k] ref: https://keras.io/examples/nlp/text_extraction_with_bert/ # [b, k] # [b, k] # predict results # raw inputs # if example[... | 2.171053 | 2 |
tests/conftest.py | junjunjunk/torchgpipe | 532 | 10262 | <reponame>junjunjunk/torchgpipe
import pytest
import torch
@pytest.fixture(autouse=True)
def manual_seed_zero():
torch.manual_seed(0)
@pytest.fixture(scope='session')
def cuda_sleep():
# Warm-up CUDA.
torch.empty(1, device='cuda')
# From test/test_cuda.py in PyTorch.
start = torch.cuda.Event(en... | import pytest
import torch
@pytest.fixture(autouse=True)
def manual_seed_zero():
torch.manual_seed(0)
@pytest.fixture(scope='session')
def cuda_sleep():
# Warm-up CUDA.
torch.empty(1, device='cuda')
# From test/test_cuda.py in PyTorch.
start = torch.cuda.Event(enable_timing=True)
end = torc... | en | 0.545309 | # Warm-up CUDA. # From test/test_cuda.py in PyTorch. | 2.126187 | 2 |
lib/python/treadmill/scheduler/__init__.py | drienyov/treadmill | 0 | 10263 | """Treadmill hierarchical scheduler.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
import collections
import datetime
import heapq
import itertools
import logging
import operator
import sys
import tim... | """Treadmill hierarchical scheduler.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
import collections
import datetime
import heapq
import itertools
import logging
import operator
import sys
import tim... | en | 0.88203 | Treadmill hierarchical scheduler. # 21 day # 1 day # 7 days # Default partition threshold # pylint: disable=C0302,too-many-lines Returns number of bits set. Returns zero capacity vector. Returns eps capacity vector. Use timestamp in nanoseconds, from Jan 1st 2014, to break tie in scheduling conflicts for apps of th... | 2.319293 | 2 |
banners/bannerRan.py | gothyyy/AIDungeon | 1 | 10264 | <filename>banners/bannerRan.py
import random
import sys
import time
import json
import os
import warnings
import numpy as np
import glob, os
stat_mini = 1
stat_max = 0
listBanners = []
#HOW TO USE IT:
#1 copy the opening.txt
#2 remove the graphic (but do keep top logo for consistency)
#3 add ASCII art that i... | <filename>banners/bannerRan.py
import random
import sys
import time
import json
import os
import warnings
import numpy as np
import glob, os
stat_mini = 1
stat_max = 0
listBanners = []
#HOW TO USE IT:
#1 copy the opening.txt
#2 remove the graphic (but do keep top logo for consistency)
#3 add ASCII art that i... | en | 0.72102 | #HOW TO USE IT: #1 copy the opening.txt #2 remove the graphic (but do keep top logo for consistency) #3 add ASCII art that is 78 or less characters in width #4 save txt file under a complete new name #insert function to get random #load text and get proper numbers #randmom, picks between X and Y # directory of banners... | 3.18566 | 3 |
BondMarket/app/theme_lib.py | Meith0717/BondMarket | 0 | 10265 | <reponame>Meith0717/BondMarket<filename>BondMarket/app/theme_lib.py
from dataclasses import dataclass
@dataclass
class theme:
name : str
bg_color : str
fg_color : str
lb_color : str
ttk_theme : str
LIGHT = theme(
name='LIGHT',
bg_color=None,
... | from dataclasses import dataclass
@dataclass
class theme:
name : str
bg_color : str
fg_color : str
lb_color : str
ttk_theme : str
LIGHT = theme(
name='LIGHT',
bg_color=None,
fg_color='black',
lb_color='#f0f0f0',
ttk_them... | none | 1 | 2.749645 | 3 | |
run.py | rimijoker/CA-MTL | 1 | 10266 | import os
import sys
import re
import json
import logging
import torch
from transformers import (
HfArgumentParser,
set_seed,
AutoTokenizer,
AutoConfig,
EvalPrediction,
)
from src.model.ca_mtl import CaMtl, CaMtlArguments
from src.utils.misc import MultiTaskDataArguments, Split
from src.mtl_traine... | import os
import sys
import re
import json
import logging
import torch
from transformers import (
HfArgumentParser,
set_seed,
AutoTokenizer,
AutoConfig,
EvalPrediction,
)
from src.model.ca_mtl import CaMtl, CaMtlArguments
from src.utils.misc import MultiTaskDataArguments, Split
from src.mtl_traine... | en | 0.717475 | # Loop to handle MNLI double evaluation (matched, mis-matched) # For xla_spawn (TPUs) | 1.848349 | 2 |
examples/readWebsocket.py | uadlq/PhyPiDAQ-PiOS11 | 0 | 10267 | #!/usr/bin/env python3
"""Read data in CSV format from websocket
"""
import sys
import asyncio
import websockets
# read url from command line
if len(sys.argv) >= 2:
uri = sys.argv[1]
else:
# host url and port
uri = "ws://localhost:8314"
print("*==* ", sys.argv[0], " Lese Daten von url ", uri)
async def ... | #!/usr/bin/env python3
"""Read data in CSV format from websocket
"""
import sys
import asyncio
import websockets
# read url from command line
if len(sys.argv) >= 2:
uri = sys.argv[1]
else:
# host url and port
uri = "ws://localhost:8314"
print("*==* ", sys.argv[0], " Lese Daten von url ", uri)
async def ... | en | 0.68723 | #!/usr/bin/env python3 Read data in CSV format from websocket # read url from command line # host url and port asynchronous read from websocket # test connection # get data # empty record, end # run web client | 3.16624 | 3 |
settings/__init__.py | arcana261/python-grpc-boilerplate | 0 | 10268 | <gh_stars>0
import os
import sys
import itertools
import json
_NONE = object()
class SettingManager:
_sentry = object()
def __init__(self):
self.env = os.getenv('ENV', 'prd')
try:
self._default = __import__('settings.default', fromlist=['*'])
except ModuleNotFoundError:
... | import os
import sys
import itertools
import json
_NONE = object()
class SettingManager:
_sentry = object()
def __init__(self):
self.env = os.getenv('ENV', 'prd')
try:
self._default = __import__('settings.default', fromlist=['*'])
except ModuleNotFoundError:
... | none | 1 | 2.350849 | 2 | |
roblox/partials/partialgroup.py | speer-kinjo/ro.py | 28 | 10269 | """
This file contains partial objects related to Roblox groups.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from ..bases.basegroup import BaseGroup
from ..bases.baseuser import BaseUser
if TYPE_CHECKING:
from ..client import Client
class AssetPartialGroup(BaseGroup):
"""
R... | """
This file contains partial objects related to Roblox groups.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from ..bases.basegroup import BaseGroup
from ..bases.baseuser import BaseUser
if TYPE_CHECKING:
from ..client import Client
class AssetPartialGroup(BaseGroup):
"""
R... | en | 0.809606 | This file contains partial objects related to Roblox groups. Represents a partial group in the context of a Roblox asset. Intended to parse the `data[0]["creator"]` data from https://games.roblox.com/v1/games. Attributes: _client: The Client object, which is passed to all objects this Client generates.... | 2.923253 | 3 |
services/UserService.py | erginbalta/FarmChain | 1 | 10270 | <filename>services/UserService.py
import mysql.connector
import socket
from contextlib import closing
import json
import random
packetType= ["INF","TRN","USR"]
database = mysql.connector.connect(
host="localhost",
user="root",
port="3307",
passwd="<PASSWORD>",
database="farmchain"
)
def userIdCrea... | <filename>services/UserService.py
import mysql.connector
import socket
from contextlib import closing
import json
import random
packetType= ["INF","TRN","USR"]
database = mysql.connector.connect(
host="localhost",
user="root",
port="3307",
passwd="<PASSWORD>",
database="farmchain"
)
def userIdCrea... | none | 1 | 2.468183 | 2 | |
tests/blackbox/access_settings/test_bb_access_settings.py | csanders-git/waflz | 1 | 10271 | #!/usr/bin/python
'''Test WAF Access settings'''
#TODO: make so waflz_server only runs once and then can post to it
# ------------------------------------------------------------------------------
# Imports
# ------------------------------------------------------------------------------
import pytest
import subprocess... | #!/usr/bin/python
'''Test WAF Access settings'''
#TODO: make so waflz_server only runs once and then can post to it
# ------------------------------------------------------------------------------
# Imports
# ------------------------------------------------------------------------------
import pytest
import subprocess... | en | 0.232524 | #!/usr/bin/python Test WAF Access settings #TODO: make so waflz_server only runs once and then can post to it # ------------------------------------------------------------------------------ # Imports # ------------------------------------------------------------------------------ # ------------------------------------... | 1.7865 | 2 |
cosmosis/runtime/analytics.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 1 | 10272 | <gh_stars>1-10
#coding: utf-8
from __future__ import print_function
from builtins import zip
from builtins import object
from cosmosis import output as output_module
import numpy as np
import sys
import os
class Analytics(object):
def __init__(self, params, pool=None):
self.params = params
self.p... | #coding: utf-8
from __future__ import print_function
from builtins import zip
from builtins import object
from cosmosis import output as output_module
import numpy as np
import sys
import os
class Analytics(object):
def __init__(self, params, pool=None):
self.params = params
self.pool = pool
... | en | 0.748833 | #coding: utf-8 # takes current traces and returns # gather trace statistics to master process # TODO: check for 0-values in W | 2.507523 | 3 |
sdcc2elf.py | Vector35/llil_transpiler | 14 | 10273 | <filename>sdcc2elf.py
#!/usr/bin/env python
#
# convert SDCC .rel files to 32-bit ELF relocatable
#
# resulting file is simple:
#
# ------------------------
# ELF header
# ------------------------
# .text section
# .shstrtab section
# .strtab section
# .symtab section
# ------------------------
# NULL elf32_shdr
# .tex... | <filename>sdcc2elf.py
#!/usr/bin/env python
#
# convert SDCC .rel files to 32-bit ELF relocatable
#
# resulting file is simple:
#
# ------------------------
# ELF header
# ------------------------
# .text section
# .shstrtab section
# .strtab section
# .symtab section
# ------------------------
# NULL elf32_shdr
# .tex... | en | 0.244853 | #!/usr/bin/env python # # convert SDCC .rel files to 32-bit ELF relocatable # # resulting file is simple: # # ------------------------ # ELF header # ------------------------ # .text section # .shstrtab section # .strtab section # .symtab section # ------------------------ # NULL elf32_shdr # .text elf32_shdr # .shstrt... | 2.546184 | 3 |
eval.py | nikinsta/deep-siamese-text-similarity-on-python-3 | 0 | 10274 | #! /usr/bin/env python
import tensorflow as tf
import numpy as np
import os
import time
import datetime
from tensorflow.contrib import learn
from input_helpers import InputHelper
# Parameters
# ==================================================
# Eval Parameters
tf.flags.DEFINE_integer("batch_size", 64, "Batch Size (... | #! /usr/bin/env python
import tensorflow as tf
import numpy as np
import os
import time
import datetime
from tensorflow.contrib import learn
from input_helpers import InputHelper
# Parameters
# ==================================================
# Eval Parameters
tf.flags.DEFINE_integer("batch_size", 64, "Batch Size (... | en | 0.594187 | #! /usr/bin/env python # Parameters # ================================================== # Eval Parameters # Misc Parameters # load data and map id-transform based on training time vocabulary # Evaluation # ================================================== # Load the saved meta graph and restore variables # Get the pl... | 2.301202 | 2 |
accounts/views.py | nikhiljohn10/django-auth | 0 | 10275 | <gh_stars>0
from django.urls import reverse
from django.conf import settings
from django.contrib import messages
from django.shortcuts import render, redirect
from django.core.mail import send_mail
from django.contrib.auth import login, logout, views, authenticate
from django.views.generic.edit import CreateView
from d... | from django.urls import reverse
from django.conf import settings
from django.contrib import messages
from django.shortcuts import render, redirect
from django.core.mail import send_mail
from django.contrib.auth import login, logout, views, authenticate
from django.views.generic.edit import CreateView
from django.contri... | none | 1 | 2.163409 | 2 | |
python/testData/intentions/PyAnnotateVariableTypeIntentionTest/annotationTupleType.py | truthiswill/intellij-community | 2 | 10276 | v<caret>ar = (1, 'foo', None) | v<caret>ar = (1, 'foo', None) | none | 1 | 1.302547 | 1 | |
bot/venv/lib/python3.7/site-packages/scipy/version.py | manaccac/sc2_bot | 76 | 10277 | <gh_stars>10-100
# THIS FILE IS GENERATED FROM SCIPY SETUP.PY
short_version = '1.5.4'
version = '1.5.4'
full_version = '1.5.4'
git_revision = '19acfed431060aafaa963f7e530c95e70cd4b85c'
release = True
if not release:
version = full_version
| # THIS FILE IS GENERATED FROM SCIPY SETUP.PY
short_version = '1.5.4'
version = '1.5.4'
full_version = '1.5.4'
git_revision = '19acfed431060aafaa963f7e530c95e70cd4b85c'
release = True
if not release:
version = full_version | en | 0.387835 | # THIS FILE IS GENERATED FROM SCIPY SETUP.PY | 0.960018 | 1 |
emrichen/input/__init__.py | jbek7/emrichen | 0 | 10278 | <reponame>jbek7/emrichen
from typing import TextIO, Union
from .json import load_json
from .yaml import load_yaml
PARSERS = {
'yaml': load_yaml,
'json': load_json,
}
def parse(data: Union[TextIO, str], format: str):
if format in PARSERS:
return PARSERS[format](data)
else:
raise Value... | from typing import TextIO, Union
from .json import load_json
from .yaml import load_yaml
PARSERS = {
'yaml': load_yaml,
'json': load_json,
}
def parse(data: Union[TextIO, str], format: str):
if format in PARSERS:
return PARSERS[format](data)
else:
raise ValueError('No parser for form... | none | 1 | 2.85197 | 3 | |
sdk/python/pulumi_aws_native/workspaces/get_workspace.py | pulumi/pulumi-aws-native | 29 | 10279 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... | en | 0.897218 | # coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # pylint: disable=using-constant-test Resource Type definition for AWS::WorkSpaces::Workspace Resource Type definition for AWS::WorkSpaces::Workspace | 1.825763 | 2 |
testtools/__init__.py | afy2103/spambayes-9-10-Frozen | 0 | 10280 | __author__ = 'AlexYang'
| __author__ = 'AlexYang'
| none | 1 | 0.949948 | 1 | |
tests/test_distance.py | mkclairhong/quail | 1 | 10281 | <reponame>mkclairhong/quail
# -*- coding: utf-8 -*-
from quail.distance import *
import numpy as np
import pytest
from scipy.spatial.distance import cdist
def test_match():
a = 'A'
b = 'B'
assert np.equal(match(a, b), 1)
def test_euclidean_list():
a = [0, 1, 0]
b = [0, 1, 0]
assert np.equal(e... | # -*- coding: utf-8 -*-
from quail.distance import *
import numpy as np
import pytest
from scipy.spatial.distance import cdist
def test_match():
a = 'A'
b = 'B'
assert np.equal(match(a, b), 1)
def test_euclidean_list():
a = [0, 1, 0]
b = [0, 1, 0]
assert np.equal(euclidean(a, b), 0)
def test... | en | 0.769321 | # -*- coding: utf-8 -*- | 2.58452 | 3 |
utils/manisfestManager.py | ovitrac/pizza3 | 1 | 10282 | #!/usr/bin/env python
###############################################################################
# #
# manifestManager.py #
# ... | #!/usr/bin/env python
###############################################################################
# #
# manifestManager.py #
# ... | de | 0.35631 | #!/usr/bin/env python ############################################################################### # # # manifestManager.py # # ... | 1.474562 | 1 |
temperature.py | rhwlr/TEST_PRELIM_SKILLS_EXAM | 0 | 10283 | class Temperature:
def __init__(self, kelvin=None, celsius=None, fahrenheit=None):
values = [x for x in [kelvin, celsius, fahrenheit] if x]
if len(values) < 1:
raise ValueError('Need argument')
if len(values) > 1:
raise ValueError('Only one argument')
if ce... | class Temperature:
def __init__(self, kelvin=None, celsius=None, fahrenheit=None):
values = [x for x in [kelvin, celsius, fahrenheit] if x]
if len(values) < 1:
raise ValueError('Need argument')
if len(values) > 1:
raise ValueError('Only one argument')
if ce... | none | 1 | 3.667491 | 4 | |
af/shovel/test_canning.py | mimi89999/pipeline | 0 | 10284 | <gh_stars>0
#!/usr/bin/env python2.7
import unittest
import canning
class TestNop(unittest.TestCase):
def test_nop(self):
canning.NopTeeFd.write("asdf")
class TestSlice(unittest.TestCase):
REPORT = "20130505T065614Z-VN-AS24173-dns_consistency-no_report_id-0.1.0-probe.yaml"
@staticmethod
d... | #!/usr/bin/env python2.7
import unittest
import canning
class TestNop(unittest.TestCase):
def test_nop(self):
canning.NopTeeFd.write("asdf")
class TestSlice(unittest.TestCase):
REPORT = "20130505T065614Z-VN-AS24173-dns_consistency-no_report_id-0.1.0-probe.yaml"
@staticmethod
def rpt(year)... | en | 0.713974 | #!/usr/bin/env python2.7 # FIXME: is it really good behaviour?... | 2.742623 | 3 |
Exercicios/ex061.py | jlsmirandela/Curso_Python | 0 | 10285 | <reponame>jlsmirandela/Curso_Python
print('-+-' *10)
print(' <NAME> PA')
print('+-+' * 10)
c = 1
ter = int(input('Insira o primeiro termo - '))
rz = int(input('Insira a razão - '))
while c <= 10:
print(ter, ' → ', end=' ')
ter += rz
c += 1
print('FIM')
| print('-+-' *10)
print(' <NAME> PA')
print('+-+' * 10)
c = 1
ter = int(input('Insira o primeiro termo - '))
rz = int(input('Insira a razão - '))
while c <= 10:
print(ter, ' → ', end=' ')
ter += rz
c += 1
print('FIM') | none | 1 | 3.760039 | 4 | |
gpytorch/models/approximate_gp.py | phumm/gpytorch | 1 | 10286 | <reponame>phumm/gpytorch
#!/usr/bin/env python3
from .gp import GP
from .pyro import _PyroMixin # This will only contain functions if Pyro is installed
class ApproximateGP(GP, _PyroMixin):
def __init__(self, variational_strategy):
super().__init__()
self.variational_strategy = variational_strate... | #!/usr/bin/env python3
from .gp import GP
from .pyro import _PyroMixin # This will only contain functions if Pyro is installed
class ApproximateGP(GP, _PyroMixin):
def __init__(self, variational_strategy):
super().__init__()
self.variational_strategy = variational_strategy
def forward(self,... | en | 0.645391 | #!/usr/bin/env python3 # This will only contain functions if Pyro is installed As in the exact GP setting, the user-defined forward method should return the GP prior mean and covariance evaluated at input locations x. (For Pyro integration only). The component of a `pyro.guide` that corresponds to drawi... | 2.455583 | 2 |
tests/test_ping.py | d-wysocki/flask-resty | 86 | 10287 | import pytest
from flask_resty import Api
from flask_resty.testing import assert_response
# -----------------------------------------------------------------------------
@pytest.fixture(autouse=True)
def routes(app):
api = Api(app, "/api")
api.add_ping("/ping")
# ------------------------------------------... | import pytest
from flask_resty import Api
from flask_resty.testing import assert_response
# -----------------------------------------------------------------------------
@pytest.fixture(autouse=True)
def routes(app):
api = Api(app, "/api")
api.add_ping("/ping")
# ------------------------------------------... | en | 0.12172 | # ----------------------------------------------------------------------------- # ----------------------------------------------------------------------------- | 2.447855 | 2 |
tests/test_vetters.py | pllim/exovetter | 0 | 10288 | <filename>tests/test_vetters.py
from numpy.testing import assert_allclose
from astropy.io import ascii
from astropy import units as u
import lightkurve as lk
from exovetter import const as exo_const
from exovetter import vetters
from exovetter.tce import Tce
from astropy.utils.data import get_pkg_data_filename
def ... | <filename>tests/test_vetters.py
from numpy.testing import assert_allclose
from astropy.io import ascii
from astropy import units as u
import lightkurve as lk
from exovetter import const as exo_const
from exovetter import vetters
from exovetter.tce import Tce
from astropy.utils.data import get_pkg_data_filename
def ... | none | 1 | 2.232303 | 2 | |
pyqtgraph/dockarea/DockDrop.py | hishizuka/pyqtgraph | 2,762 | 10289 | <reponame>hishizuka/pyqtgraph
# -*- coding: utf-8 -*-
from ..Qt import QtCore, QtGui
class DockDrop(object):
"""Provides dock-dropping methods"""
def __init__(self, allowedAreas=None):
object.__init__(self)
if allowedAreas is None:
allowedAreas = ['center', 'right', 'left', 'top', '... | # -*- coding: utf-8 -*-
from ..Qt import QtCore, QtGui
class DockDrop(object):
"""Provides dock-dropping methods"""
def __init__(self, allowedAreas=None):
object.__init__(self)
if allowedAreas is None:
allowedAreas = ['center', 'right', 'left', 'top', 'bottom']
self.allowedA... | en | 0.723234 | # -*- coding: utf-8 -*- Provides dock-dropping methods #print "drag enter accept" #print "drag enter ignore" #print "drag move" # QDragMoveEvent inherits QDropEvent which provides posF() # PyQt6 provides only position() #print " no self-center" #print " not allowed" #print " ok" Overlay widget that draws drop areas ... | 2.803189 | 3 |
data/download.py | pyaf/google-ai-open-images-object-detection-track | 0 | 10290 | import os
from subprocess import call
files = ['000002b66c9c498e.jpg', '000002b97e5471a0.jpg', '000002c707c9895e.jpg', '0000048549557964.jpg', '000004f4400f6ec5.jpg', '0000071d71a0a6f6.jpg', '000013ba71c12506.jpg', '000018acd19b4ad3.jpg', '00001bc2c4027449.jpg', '00001bcc92282a38.jpg', '0000201cd362f303.jpg', '0000207... | import os
from subprocess import call
files = ['000002b66c9c498e.jpg', '000002b97e5471a0.jpg', '000002c707c9895e.jpg', '0000048549557964.jpg', '000004f4400f6ec5.jpg', '0000071d71a0a6f6.jpg', '000013ba71c12506.jpg', '000018acd19b4ad3.jpg', '00001bc2c4027449.jpg', '00001bcc92282a38.jpg', '0000201cd362f303.jpg', '0000207... | none | 1 | 2.214116 | 2 | |
cisco-ios-xr/ydk/models/cisco_ios_xr/SNMP_FRAMEWORK_MIB.py | bopopescu/ACI | 0 | 10291 | """ SNMP_FRAMEWORK_MIB
"""
from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk.errors import YError, YModelError
from ydk.errors.error_handler import handle_type_er... | """ SNMP_FRAMEWORK_MIB
"""
from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk.errors import YError, YModelError
from ydk.errors.error_handler import handle_type_er... | en | 0.23202 | SNMP_FRAMEWORK_MIB SnmpSecurityLevel (Enum Class) .. data:: noAuthNoPriv = 1 .. data:: authNoPriv = 2 .. data:: authPriv = 3 .. attribute:: snmpengine **type**\: :py:class:`Snmpengine <ydk.models.cisco_ios_xr.SNMP_FRAMEWORK_MIB.SNMPFRAMEWORKMIB.Snmpengine>` .. attribute:: snmpengineid ... | 2.099786 | 2 |
handlers/redirects.py | Bainky/Ventify | 6 | 10292 | from aiogram.utils.markdown import hide_link
from aiogram.types import CallbackQuery
from loader import dp
from utils import (
get_object,
get_attributes_of_object
)
from keyboards import (
anime_choose_safe_category,
anime_sfw_categories,
anime_nsfw_categories,
animals_categories,
... | from aiogram.utils.markdown import hide_link
from aiogram.types import CallbackQuery
from loader import dp
from utils import (
get_object,
get_attributes_of_object
)
from keyboards import (
anime_choose_safe_category,
anime_sfw_categories,
anime_nsfw_categories,
animals_categories,
... | en | 0.634356 | Function for sending a menu,
with a selection of safe content # Editing the message Redirect to select anime actions # Editing the message Redirect to anime content # Send answer # Editing the message Redirect to animals content # Editing the message Function for sending photos # Get json document # We get a link ... | 2.767742 | 3 |
1stRound/Medium/322-Coin Change/DP.py | ericchen12377/Leetcode-Algorithm-Python | 2 | 10293 | class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
M = float('inf')
# dynamic programming
dp = [0] + [M] * amount
for i in range(1, amount+1):
dp[i] = 1 + min([dp[i-c] for c in coins if i >= c] or [M])
return dp[-1] if dp[-1] < M else -1
| class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
M = float('inf')
# dynamic programming
dp = [0] + [M] * amount
for i in range(1, amount+1):
dp[i] = 1 + min([dp[i-c] for c in coins if i >= c] or [M])
return dp[-1] if dp[-1] < M else -1
| en | 0.760267 | # dynamic programming | 3.276278 | 3 |
segmentation_test/Scripts/medpy_graphcut_voxel.py | rominashirazi/SpineSegmentation | 0 | 10294 | #!c:\users\hooma\documents\github\spinesegmentation\segmentation_test\scripts\python.exe
"""
Execute a graph cut on a voxel image based on some foreground and background markers.
Copyright (C) 2013 <NAME>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Publi... | #!c:\users\hooma\documents\github\spinesegmentation\segmentation_test\scripts\python.exe
"""
Execute a graph cut on a voxel image based on some foreground and background markers.
Copyright (C) 2013 <NAME>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Publi... | en | 0.843025 | #!c:\users\hooma\documents\github\spinesegmentation\segmentation_test\scripts\python.exe Execute a graph cut on a voxel image based on some foreground and background markers. Copyright (C) 2013 <NAME> This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public Lic... | 3.006441 | 3 |
_notes/book/conf.py | AstroMatt/astronaut-training-en | 1 | 10295 | author = '<NAME>'
email = '<EMAIL>'
project = 'Astronaut Training Program'
description = 'Astronaut Training Program'
extensions = [
'sphinx.ext.todo',
'sphinx.ext.imgmath',
]
todo_emit_warnings = False
todo_include_todos = True
exclude_patterns = []
# --------------------------------------------------------... | author = '<NAME>'
email = '<EMAIL>'
project = 'Astronaut Training Program'
description = 'Astronaut Training Program'
extensions = [
'sphinx.ext.todo',
'sphinx.ext.imgmath',
]
todo_emit_warnings = False
todo_include_todos = True
exclude_patterns = []
# --------------------------------------------------------... | en | 0.307774 | # ----------------------------------------------------------------------------- # Standard book config # ----------------------------------------------------------------------------- # Fix for: LaTeX Backend Fails with Citations In Figure Captions \usepackage{etoolbox} \AtBeginEnvironment{figure}{\renewcommand{... | 1.463351 | 1 |
tutorial_application/forms.py | yamasakih/django_rdkit_tutorial | 2 | 10296 | from django_rdkit import models
from django.forms.models import ModelForm
from .models import Compound
class SubstructureSearchForm(ModelForm):
class Meta:
model = Compound
fields = ('molecule', )
| from django_rdkit import models
from django.forms.models import ModelForm
from .models import Compound
class SubstructureSearchForm(ModelForm):
class Meta:
model = Compound
fields = ('molecule', )
| none | 1 | 1.472171 | 1 | |
data_structures/trees/tree.py | onyonkaclifford/data-structures-and-algorithms | 0 | 10297 | from abc import ABC, abstractmethod
from typing import Any, Generator, Iterable, List, Union
class Empty(Exception):
pass
class Tree(ABC):
"""A tree is a hierarchical collection of nodes containing items, with each node having a unique parent and zero,
one or many children items. The topmost element in ... | from abc import ABC, abstractmethod
from typing import Any, Generator, Iterable, List, Union
class Empty(Exception):
pass
class Tree(ABC):
"""A tree is a hierarchical collection of nodes containing items, with each node having a unique parent and zero,
one or many children items. The topmost element in ... | en | 0.846048 | A tree is a hierarchical collection of nodes containing items, with each node having a unique parent and zero, one or many children items. The topmost element in a non-empty tree, the root, has no parent. Tree vocabularies include, but are not limited to: 1. Root - the topmost element in a non-empty tree, ... | 4.014211 | 4 |
nodes/audio.py | sddhrthrt/COVFEFE | 0 | 10298 | <filename>nodes/audio.py
from abc import ABC, abstractmethod
import os
import logging
from nodes.helper import FileOutputNode
from utils import file_utils
from utils import signal_processing as sp
from utils.shell_run import shell_run
from config import OPENSMILE_HOME
class Mp3ToWav(FileOutputNode):
def run(self... | <filename>nodes/audio.py
from abc import ABC, abstractmethod
import os
import logging
from nodes.helper import FileOutputNode
from utils import file_utils
from utils import signal_processing as sp
from utils.shell_run import shell_run
from config import OPENSMILE_HOME
class Mp3ToWav(FileOutputNode):
def run(self... | en | 0.87316 | Take as input a format string representing a shell command that can accept an in_file and out_file. For example "someCommand -i {in_file} -o {out_file}" ext: Extension of the output file, ex. "wav", "csv" conf_file: Either absolute path to an opensmile conf file or the name of a config file in opensmile... | 2.441041 | 2 |
texar/torch/modules/pretrained/gpt2.py | VegB/VLN-Transformer | 19 | 10299 | <reponame>VegB/VLN-Transformer
# Copyright 2019 The Texar Authors. All Rights Reserved.
#
# 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
#
#... | # Copyright 2019 The Texar Authors. All Rights Reserved.
#
# 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 ... | en | 0.765635 | # Copyright 2019 The Texar Authors. All Rights Reserved. # # 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 ... | 1.772229 | 2 |