hexsha stringlengths 40 40 | size int64 7 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.77 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 7 1.04M | filtered:remove_function_no_docstring int64 -102 942k | filtered:remove_class_no_docstring int64 -354 977k | filtered:remove_delete_markers int64 0 60.1k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2f9e17e9664aad34733bd9fdd9f0df727ab36cda | 7,405 | py | Python | utils/toolkit.py | eLeVeNnN/fastorch | 7b73548b1b25c81dd41e4fc9cc7afb61bf8a5d2d | [
"MIT"
] | null | null | null | utils/toolkit.py | eLeVeNnN/fastorch | 7b73548b1b25c81dd41e4fc9cc7afb61bf8a5d2d | [
"MIT"
] | null | null | null | utils/toolkit.py | eLeVeNnN/fastorch | 7b73548b1b25c81dd41e4fc9cc7afb61bf8a5d2d | [
"MIT"
] | null | null | null | import numpy as np
import torch.nn as nn
from torch.nn.modules.loss import _Loss
from torch.optim.optimizer import Optimizer
import torch.optim as optim
| 36.840796 | 124 | 0.520324 | import numpy as np
import torch.nn as nn
from torch.nn.modules.loss import _Loss
from torch.optim.optimizer import Optimizer
import torch.optim as optim
class ProgressBar(object):
def __init__(self,
max_iter: int = 1,
verbose: int = 1,
bar_nums: int = 20,
... | 6,912 | 11 | 321 |
c0a984092f028bc031c552bd5178bb8eb54691f9 | 5,494 | py | Python | corr/corr_load.py | cmolder/voyager-analysis | a44dcc4df88eaaa83e451eead39846c9eed985f4 | [
"MIT"
] | null | null | null | corr/corr_load.py | cmolder/voyager-analysis | a44dcc4df88eaaa83e451eead39846c9eed985f4 | [
"MIT"
] | null | null | null | corr/corr_load.py | cmolder/voyager-analysis | a44dcc4df88eaaa83e451eead39846c9eed985f4 | [
"MIT"
] | null | null | null | """Compute correlation between access history and next prefetch,
using load traces.
Need to run from above corr/ directory. If you still get an error,
try export PYTHONPATH=.
"""
import argparse
import time
from utils.load import get_open_function
from utils.load_trace import get_instructions
from utils.logging impor... | 36.384106 | 106 | 0.638151 | """Compute correlation between access history and next prefetch,
using load traces.
Need to run from above corr/ directory. If you still get an error,
try export PYTHONPATH=.
"""
import argparse
import time
from utils.load import get_open_function
from utils.load_trace import get_instructions
from utils.logging impor... | 2,829 | 0 | 153 |
8b4addbb43fa421cea80cb0bfe023f54f404e3ad | 6,411 | py | Python | c_mock_generator/generate_mock.py | BjoernLange/C-Mock-Generator | 91f0e331abf54dc5b6706796c02341e23b2e06d7 | [
"MIT"
] | null | null | null | c_mock_generator/generate_mock.py | BjoernLange/C-Mock-Generator | 91f0e331abf54dc5b6706796c02341e23b2e06d7 | [
"MIT"
] | 3 | 2020-06-07T12:48:17.000Z | 2020-07-26T12:52:45.000Z | c_mock_generator/generate_mock.py | BjoernLange/C-Mock-Generator | 91f0e331abf54dc5b6706796c02341e23b2e06d7 | [
"MIT"
] | null | null | null | import argparse
import os
from typing import Iterable, Tuple, List, Optional
from .module_definition import Module, Method, ParameterDocumentation
from .module_definition.exceptions import MockGeneratorError
from .util import CodeBuilder, TemplateFormatter, read_lines
if __name__ == '__main__':
main()
| 34.842391 | 79 | 0.6545 | import argparse
import os
from typing import Iterable, Tuple, List, Optional
from .module_definition import Module, Method, ParameterDocumentation
from .module_definition.exceptions import MockGeneratorError
from .util import CodeBuilder, TemplateFormatter, read_lines
def line_starts_with_documentation(line: str) ->... | 5,437 | 314 | 341 |
3d0efe650cbfc962d3f0b737e1aa9610e7336754 | 15,627 | py | Python | tests/unit/threat_intel_downloader/test_main.py | opsbay/streamalert | 557fb3f604661cdd9bd36486cccc8ce3a34bd1f1 | [
"Apache-2.0"
] | null | null | null | tests/unit/threat_intel_downloader/test_main.py | opsbay/streamalert | 557fb3f604661cdd9bd36486cccc8ce3a34bd1f1 | [
"Apache-2.0"
] | 1 | 2018-08-08T03:26:58.000Z | 2018-08-08T03:26:58.000Z | tests/unit/threat_intel_downloader/test_main.py | opsbay/streamalert | 557fb3f604661cdd9bd36486cccc8ce3a34bd1f1 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2017-present, Airbnb Inc.
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, sof... | 41.34127 | 93 | 0.651949 | """
Copyright 2017-present, Airbnb Inc.
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, sof... | 670 | 0 | 52 |
ee62108b17d42c736856b8733f3ae4635f8dc080 | 596 | py | Python | qctests/EN_range_check.py | BillMills/AutoQC | cb56fa5bb2115170ec204edd84e2d69ce84be820 | [
"MIT"
] | 17 | 2015-01-31T00:35:58.000Z | 2020-10-26T19:01:46.000Z | qctests/EN_range_check.py | castelao/AutoQC | eb85422c1a6a5ff965a1ef96b3cb29240a66b506 | [
"MIT"
] | 163 | 2015-01-21T03:44:42.000Z | 2022-01-09T22:03:12.000Z | qctests/EN_range_check.py | BillMills/AutoQC | cb56fa5bb2115170ec204edd84e2d69ce84be820 | [
"MIT"
] | 11 | 2015-06-04T14:32:22.000Z | 2021-04-11T05:18:09.000Z | """
Implements the global range check used in the EN quality control
system.
"""
def test(p, parameters):
"""
Runs the quality control check on profile p and returns a numpy array
of quality control decisions with False where the data value has
passed the check and True where it failed.
"""
... | 24.833333 | 74 | 0.644295 | """
Implements the global range check used in the EN quality control
system.
"""
def test(p, parameters):
"""
Runs the quality control check on profile p and returns a numpy array
of quality control decisions with False where the data value has
passed the check and True where it failed.
"""
... | 0 | 0 | 0 |
829dcf41a8949e0e449237d9b5a16d2d1449e4c8 | 6,241 | py | Python | threading_util/pausable_thread.py | SDRAST/support | ebe081692fc8c892c1389156e979d5baa7f8f0e6 | [
"Apache-2.0"
] | null | null | null | threading_util/pausable_thread.py | SDRAST/support | ebe081692fc8c892c1389156e979d5baa7f8f0e6 | [
"Apache-2.0"
] | null | null | null | threading_util/pausable_thread.py | SDRAST/support | ebe081692fc8c892c1389156e979d5baa7f8f0e6 | [
"Apache-2.0"
] | null | null | null | import logging
import threading
import time
module_logger = logging.getLogger(__name__)
__all__ = ["iterativeRun", "Pause", "PausableThread", "PausableThreadCallback"]
def iterativeRun(run_fn):
"""
A decorator for running functions repeatedly inside a PausableThread.
Allows one to pause and stop the thre... | 27.986547 | 100 | 0.571703 | import logging
import threading
import time
module_logger = logging.getLogger(__name__)
__all__ = ["iterativeRun", "Pause", "PausableThread", "PausableThreadCallback"]
def iterativeRun(run_fn):
"""
A decorator for running functions repeatedly inside a PausableThread.
Allows one to pause and stop the thre... | 1,153 | 0 | 377 |
861046f2185daf66208a051d17e44c2d4a82f4e2 | 1,013 | py | Python | python/bin/use_gene_id_for_missing_gene_names.py | jennomics/single-cell | 34c951511e2be071fe3a8e11511d8ff5de8f540f | [
"MIT"
] | 3 | 2020-11-14T02:19:34.000Z | 2022-03-09T17:00:52.000Z | python/bin/use_gene_id_for_missing_gene_names.py | jennomics/single-cell | 34c951511e2be071fe3a8e11511d8ff5de8f540f | [
"MIT"
] | 7 | 2020-06-02T18:51:13.000Z | 2021-07-08T22:48:45.000Z | python/bin/use_gene_id_for_missing_gene_names.py | jennomics/single-cell | 34c951511e2be071fe3a8e11511d8ff5de8f540f | [
"MIT"
] | 2 | 2021-04-21T17:19:10.000Z | 2021-05-22T14:26:13.000Z | #!/bin/env python3
"""
If gene name is simply totally missing, use the gene ID for the gene name.
(Don't confuse this with the case in which there is actualy a gene name
embeded in the gene id, for which you would want to use the utility
'extract_name_embedded_in_gene_id.py'.)
"""
import argparse
import gtfez
# co... | 25.325 | 85 | 0.662389 | #!/bin/env python3
"""
If gene name is simply totally missing, use the gene ID for the gene name.
(Don't confuse this with the case in which there is actualy a gene name
embeded in the gene id, for which you would want to use the utility
'extract_name_embedded_in_gene_id.py'.)
"""
import argparse
import gtfez
def pa... | 551 | 0 | 46 |
22a2ab9b0ebf3d05d6af95bfe871d127bdeb4b36 | 1,334 | py | Python | model/Schedule.py | shionart/test_flask | f27477357bcfe939012f5a38523f238fa84de85b | [
"MIT",
"Unlicense"
] | 1 | 2021-07-22T14:57:31.000Z | 2021-07-22T14:57:31.000Z | model/Schedule.py | shionart/test_flask | f27477357bcfe939012f5a38523f238fa84de85b | [
"MIT",
"Unlicense"
] | null | null | null | model/Schedule.py | shionart/test_flask | f27477357bcfe939012f5a38523f238fa84de85b | [
"MIT",
"Unlicense"
] | null | null | null | from model.Control import Control
from model.Sensor import Sensor
from apscheduler.schedulers.background import BackgroundScheduler
# The "apscheduler." prefix is hard coded
scheduler = BackgroundScheduler({
'apscheduler.executors.default': {
'class': 'apscheduler.executors.pool:ThreadPoolExecutor',
... | 32.536585 | 93 | 0.598951 | from model.Control import Control
from model.Sensor import Sensor
from apscheduler.schedulers.background import BackgroundScheduler
# The "apscheduler." prefix is hard coded
scheduler = BackgroundScheduler({
'apscheduler.executors.default': {
'class': 'apscheduler.executors.pool:ThreadPoolExecutor',
... | 0 | 0 | 0 |
28be2a632bb1b6e14ddbeb0afac9fa4520012efa | 390 | py | Python | archived/consoletest.py | CubeFlix/emos | 7f84100908e78384c82777ec3bee0cc1b130cefb | [
"MIT"
] | 1 | 2021-05-26T17:41:07.000Z | 2021-05-26T17:41:07.000Z | archived/consoletest.py | CubeFlix/emos | 7f84100908e78384c82777ec3bee0cc1b130cefb | [
"MIT"
] | null | null | null | archived/consoletest.py | CubeFlix/emos | 7f84100908e78384c82777ec3bee0cc1b130cefb | [
"MIT"
] | null | null | null | import sys
import os
size = os.get_terminal_size()
rows, cols = size.lines, size.columns
data_to_add = b'Hello, world!'
data = bytes((rows * cols) * b' ')
data = data_to_add + data[len(data_to_add) : ]
for row in range(rows):
start = row * cols
end = start + cols
write(str(data[start : end], 'utf-8'))
write('\n... | 17.727273 | 46 | 0.666667 | import sys
import os
def write(string):
sys.stdout.write(string)
sys.stdout.flush()
size = os.get_terminal_size()
rows, cols = size.lines, size.columns
data_to_add = b'Hello, world!'
data = bytes((rows * cols) * b' ')
data = data_to_add + data[len(data_to_add) : ]
for row in range(rows):
start = row * cols
end... | 43 | 0 | 23 |
958f06b3471de3581f85d8b7924fb17c7793dd42 | 4,820 | py | Python | pricelist/models.py | WillieIlus/jobscorner | ed3734468ea0e88a306a1d29bc876562e940f4fb | [
"bzip2-1.0.6"
] | 2 | 2020-04-12T13:18:35.000Z | 2021-04-02T04:18:17.000Z | pricelist/models.py | WillieIlus/jobscorner | ed3734468ea0e88a306a1d29bc876562e940f4fb | [
"bzip2-1.0.6"
] | 3 | 2020-02-11T23:58:53.000Z | 2020-09-06T18:46:17.000Z | pricelist/models.py | WillieIlus/jobscorner | ed3734468ea0e88a306a1d29bc876562e940f4fb | [
"bzip2-1.0.6"
] | 1 | 2020-08-17T08:29:41.000Z | 2020-08-17T08:29:41.000Z | from __future__ import unicode_literals
from builtins import super
import numpy as np
from django.db import models
from django.urls import reverse
from django.utils.text import slugify
# what this moddule does is displaying the price median price, minunum and maximum price and displaying the companies that offer the... | 32.789116 | 141 | 0.681743 | from __future__ import unicode_literals
from builtins import super
import numpy as np
from django.db import models
from django.urls import reverse
from django.utils.text import slugify
# what this moddule does is displaying the price median price, minunum and maximum price and displaying the companies that offer the... | 913 | 2,872 | 142 |
9c7547f725e65ef0319f9a63015b38a4e864c966 | 2,138 | py | Python | tests/apps/minimal2/config/settings.py | blazelibs/blazeweb | b120a6a2e38c8b53da2b73443ff242e2d1438053 | [
"BSD-3-Clause"
] | null | null | null | tests/apps/minimal2/config/settings.py | blazelibs/blazeweb | b120a6a2e38c8b53da2b73443ff242e2d1438053 | [
"BSD-3-Clause"
] | 6 | 2016-11-01T18:42:34.000Z | 2020-11-16T16:52:14.000Z | tests/apps/minimal2/config/settings.py | blazelibs/blazeweb | b120a6a2e38c8b53da2b73443ff242e2d1438053 | [
"BSD-3-Clause"
] | 1 | 2020-01-22T18:20:46.000Z | 2020-01-22T18:20:46.000Z | from __future__ import print_function
from os import path
from blazeweb.config import DefaultSettings
basedir = path.dirname(path.dirname(__file__))
app_package = path.basename(basedir)
| 23.494505 | 78 | 0.661366 | from __future__ import print_function
from os import path
from blazeweb.config import DefaultSettings
basedir = path.dirname(path.dirname(__file__))
app_package = path.basename(basedir)
class Default(DefaultSettings):
def init(self):
self.dirs.base = basedir
self.app_package = app_package
... | 1,391 | 54 | 496 |
742e878ab6e12a4761a497391a8a5daf4ad31b7e | 380 | py | Python | alex/utils/token.py | oplatek/alex | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | [
"Apache-2.0"
] | 184 | 2015-02-11T04:14:41.000Z | 2022-03-24T21:43:58.000Z | alex/utils/token.py | oplatek/alex | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | [
"Apache-2.0"
] | 69 | 2015-01-11T04:57:22.000Z | 2019-04-24T10:25:56.000Z | alex/utils/token.py | oplatek/alex | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | [
"Apache-2.0"
] | 61 | 2015-03-04T10:52:13.000Z | 2022-03-04T12:14:06.000Z | import urllib2
| 31.666667 | 83 | 0.697368 | import urllib2
def get_token(cfg):
token_url = cfg['General'].get('token_url')
curr_session = cfg['Logging']['session_logger'].session_dir_name.value
if token_url is not None:
f_token = urllib2.urlopen(token_url.format(curr_session))
return f_token.read()
else:
raise Exception(... | 341 | 0 | 23 |
0d33204beaccc33b5fa77749025dc9e04c89d176 | 2,955 | py | Python | TimeRange.py | SanthoshS20/Sudoku-Challenge | 2e7402c473b5c303e97bfa3535b6e46534bf1d0f | [
"Apache-2.0"
] | null | null | null | TimeRange.py | SanthoshS20/Sudoku-Challenge | 2e7402c473b5c303e97bfa3535b6e46534bf1d0f | [
"Apache-2.0"
] | null | null | null | TimeRange.py | SanthoshS20/Sudoku-Challenge | 2e7402c473b5c303e97bfa3535b6e46534bf1d0f | [
"Apache-2.0"
] | null | null | null | lines = []
with open('Time.txt') as f:
lines = f.readlines()
f.close()
total_lines = len(lines)
TimeTakenInDays = dict()
DifficultLevelInEachDays = dict()
day = 1
for index in range(total_lines):
if(index!=0):
difficultLevel, Time = lines[index].split(" ")
TimeTakenInDays["Day "+str(day-1)] = ... | 27.616822 | 85 | 0.607445 | lines = []
with open('Time.txt') as f:
lines = f.readlines()
f.close()
total_lines = len(lines)
TimeTakenInDays = dict()
DifficultLevelInEachDays = dict()
day = 1
for index in range(total_lines):
if(index!=0):
difficultLevel, Time = lines[index].split(" ")
TimeTakenInDays["Day "+str(day-1)] = ... | 0 | 0 | 0 |
267be97d97e9fec907dba78e0d5f8931b294188f | 308 | py | Python | lib/logger.py | webclinic017/bitrush | 5d76c98a17bb830dba1bdd103475c120903ded90 | [
"MIT"
] | 1 | 2022-01-09T21:17:23.000Z | 2022-01-09T21:17:23.000Z | lib/logger.py | webclinic017/bitrush | 5d76c98a17bb830dba1bdd103475c120903ded90 | [
"MIT"
] | null | null | null | lib/logger.py | webclinic017/bitrush | 5d76c98a17bb830dba1bdd103475c120903ded90 | [
"MIT"
] | 1 | 2022-01-09T21:17:17.000Z | 2022-01-09T21:17:17.000Z | from os import environ
from loguru import logger
from sentry_sdk import capture_exception
| 18.117647 | 40 | 0.717532 | from os import environ
from loguru import logger
from sentry_sdk import capture_exception
def info(msg: str):
logger.info(msg)
def error(exception: Exception):
logger.exception(exception)
# to trigger error alerts
if environ.get("STAGE") == "prod":
capture_exception(exception)
| 169 | 0 | 46 |
111a96782e4cecc752b1df49f925b746936f637a | 26,816 | py | Python | agil/Chef/models/form.py | sadekmehri/agil | 60f7143f1360f8f6aaeb659519e7182552ebabc5 | [
"BSD-3-Clause"
] | 1 | 2021-01-07T22:40:44.000Z | 2021-01-07T22:40:44.000Z | agil/Chef/models/form.py | sadekmehri/agil | 60f7143f1360f8f6aaeb659519e7182552ebabc5 | [
"BSD-3-Clause"
] | null | null | null | agil/Chef/models/form.py | sadekmehri/agil | 60f7143f1360f8f6aaeb659519e7182552ebabc5 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime
from flask_login import current_user
from flask_wtf import FlaskForm
from sqlalchemy import asc, or_
from wtforms import StringField, FloatField, SelectField, PasswordField, TextAreaField, HiddenField
from wtforms.validators import DataRequired, Length, Regexp, InputRequired, ValidationEr... | 47.128295 | 198 | 0.664976 | from datetime import datetime
from flask_login import current_user
from flask_wtf import FlaskForm
from sqlalchemy import asc, or_
from wtforms import StringField, FloatField, SelectField, PasswordField, TextAreaField, HiddenField
from wtforms.validators import DataRequired, Length, Regexp, InputRequired, ValidationEr... | 15,362 | 9,725 | 836 |
1398971302ab0cacdde5283f6e1b051d2130b83f | 2,521 | py | Python | authority/models.py | azizmb/django-authority | 231be8ecdf696eab418ee5f0bf9cfb42722e28eb | [
"BSD-3-Clause"
] | 2 | 2019-10-03T03:38:21.000Z | 2021-09-30T22:47:33.000Z | authority/models.py | jsocol/django-authority | 800c42759db817d49eea535fabdfcc4147d99e6c | [
"BSD-3-Clause"
] | null | null | null | authority/models.py | jsocol/django-authority | 800c42759db817d49eea535fabdfcc4147d99e6c | [
"BSD-3-Clause"
] | 1 | 2021-09-30T22:47:34.000Z | 2021-09-30T22:47:34.000Z | from datetime import datetime
from django.db import models
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from django.contrib.auth.models import User, Group
from django.utils.translation import ugettext_lazy as _
from authority.managers import PermissionManag... | 42.728814 | 202 | 0.711226 | from datetime import datetime
from django.db import models
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from django.contrib.auth.models import User, Group
from django.utils.translation import ugettext_lazy as _
from authority.managers import PermissionManag... | 248 | 431 | 81 |
13732902169601c5b96f9035d2641c2704e3729a | 1,339 | py | Python | lambda/function/valueextraction/test_classes.py | LouisLoison/deepblooGit | 4691509acc252c887f428e693c72fa30d8f18a47 | [
"Apache-2.0"
] | null | null | null | lambda/function/valueextraction/test_classes.py | LouisLoison/deepblooGit | 4691509acc252c887f428e693c72fa30d8f18a47 | [
"Apache-2.0"
] | null | null | null | lambda/function/valueextraction/test_classes.py | LouisLoison/deepblooGit | 4691509acc252c887f428e693c72fa30d8f18a47 | [
"Apache-2.0"
] | null | null | null | import unittest
from classes import *
if __name__ == '__main__':
unittest.main()
| 34.333333 | 94 | 0.652726 | import unittest
from classes import *
class TestClassUnit(unittest.TestCase):
def setUp(self):
self.unit1 = Unit("kilowatt", "power")
self.unit2 = Unit("kW", "power")
def test_attributes(self):
"""Test whether the attributes were correctly assigned"""
# Test with unit full nam... | 276 | 875 | 99 |
e4106635d7619aef4ac144460c96350e6a945f15 | 1,372 | py | Python | localgraphclustering/algorithms/acl_list.py | vishalbelsare/LocalGraphClustering | a6325350997932d548a876deb259c2387fc2c809 | [
"MIT"
] | 106 | 2017-09-06T04:47:02.000Z | 2022-03-30T07:43:27.000Z | localgraphclustering/algorithms/acl_list.py | pmacg/local-bipartite-clusters | d29e8d37c79e27b48e785b7b2c4bad9ea5d66b6d | [
"MIT"
] | 51 | 2017-09-06T02:22:09.000Z | 2021-12-15T11:39:28.000Z | localgraphclustering/algorithms/acl_list.py | vishalbelsare/LocalGraphClustering | a6325350997932d548a876deb259c2387fc2c809 | [
"MIT"
] | 38 | 2017-09-04T21:45:13.000Z | 2022-01-19T09:48:25.000Z | import time
import numpy as np
| 24.945455 | 89 | 0.462099 | import time
import numpy as np
def acl_list(ref_node, g, alpha = 0.15, rho = 1.0e-5, max_iter = 100000, max_time = 100):
n = g.adjacency_matrix.shape[0]
r = np.zeros(n)
p = np.zeros(n)
nodes = []
for i in ref_node:
r[i] = 1
thresh = rho*g.d[i]
if r[i] > t... | 1,318 | 0 | 23 |
5dc54e4673a11ed0255507be3766ee629180e1ed | 5,380 | py | Python | mmocr/datasets/base_dataset.py | yuexy/mmocr | 82488024db159266e66ea6b0d6f84a5a18e87362 | [
"Apache-2.0"
] | 2,261 | 2021-04-08T03:45:41.000Z | 2022-03-31T23:37:46.000Z | mmocr/datasets/base_dataset.py | yuexy/mmocr | 82488024db159266e66ea6b0d6f84a5a18e87362 | [
"Apache-2.0"
] | 789 | 2021-04-08T05:40:13.000Z | 2022-03-31T09:42:39.000Z | mmocr/datasets/base_dataset.py | yuexy/mmocr | 82488024db159266e66ea6b0d6f84a5a18e87362 | [
"Apache-2.0"
] | 432 | 2021-04-08T03:56:16.000Z | 2022-03-30T18:44:43.000Z | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv.utils import print_log
from mmdet.datasets.builder import DATASETS
from mmdet.datasets.pipelines import Compose
from torch.utils.data import Dataset
from mmocr.datasets.builder import build_loader
@DATASETS.register_module()
class BaseDatas... | 32.02381 | 75 | 0.569331 | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv.utils import print_log
from mmdet.datasets.builder import DATASETS
from mmdet.datasets.pipelines import Compose
from torch.utils.data import Dataset
from mmocr.datasets.builder import build_loader
@DATASETS.register_module()
class BaseDatas... | 638 | 0 | 54 |
458e196363715df31a63162c01d08a23e0f42486 | 3,221 | py | Python | dvc/objects/diff.py | annmary-roy/dvc | eefede92b204084ad418ed300ac4eb480d696421 | [
"Apache-2.0"
] | null | null | null | dvc/objects/diff.py | annmary-roy/dvc | eefede92b204084ad418ed300ac4eb480d696421 | [
"Apache-2.0"
] | 66 | 2021-03-29T09:02:26.000Z | 2022-03-30T13:09:33.000Z | dvc/objects/diff.py | annmary-roy/dvc | eefede92b204084ad418ed300ac4eb480d696421 | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass, field
from typing import TYPE_CHECKING, List, Optional, Tuple
if TYPE_CHECKING:
from .file import HashFile
ADD = "add"
MODIFY = "modify"
DELETE = "delete"
UNCHANGED = "unchanged"
@dataclass
@dataclass
@dataclass
ROOT = ("",)
| 23.683824 | 71 | 0.588327 | from dataclasses import dataclass, field
from typing import TYPE_CHECKING, List, Optional, Tuple
if TYPE_CHECKING:
from .file import HashFile
ADD = "add"
MODIFY = "modify"
DELETE = "delete"
UNCHANGED = "unchanged"
@dataclass
class TreeEntry:
in_cache: bool
key: Tuple[str]
obj: Optional["HashFile"] =... | 2,315 | 542 | 89 |
8ebf57f798435311aa471271c473c4df844dc059 | 1,143 | py | Python | setup.py | kngwyu/intrinsic-rewards | c2a8f98c0fd9292dc90f8857fa5ddb763ba8b994 | [
"Apache-2.0"
] | 8 | 2019-09-22T12:13:05.000Z | 2022-03-31T11:52:13.000Z | setup.py | kngwyu/intrinsic-rewards | c2a8f98c0fd9292dc90f8857fa5ddb763ba8b994 | [
"Apache-2.0"
] | 2 | 2019-07-29T08:57:28.000Z | 2019-11-29T10:35:35.000Z | setup.py | kngwyu/intrinsic-rewards | c2a8f98c0fd9292dc90f8857fa5ddb763ba8b994 | [
"Apache-2.0"
] | 1 | 2020-03-24T01:38:27.000Z | 2020-03-24T01:38:27.000Z | import io
import re
from setuptools import find_packages, setup
with io.open("int_rew/__init__.py", "rt", encoding="utf8") as f:
version = re.search(r"__version__ = \"(.*?)\"", f.read()).group(1)
setup(
name="intrinsic_rewards",
version=version,
url="https://github.com/kngwyu/intrinsic_rewards",
... | 32.657143 | 78 | 0.63692 | import io
import re
from setuptools import find_packages, setup
with io.open("int_rew/__init__.py", "rt", encoding="utf8") as f:
version = re.search(r"__version__ = \"(.*?)\"", f.read()).group(1)
setup(
name="intrinsic_rewards",
version=version,
url="https://github.com/kngwyu/intrinsic_rewards",
... | 0 | 0 | 0 |
f39d50bf7ed0edab4d1e0f39dcd916514d0e71d7 | 1,353 | py | Python | source/location/migrations/0001_initial.py | kssvrk/teletrack | ce8e1ce0fcb333875fd54d1a69a59f265c0e2396 | [
"BSD-3-Clause"
] | null | null | null | source/location/migrations/0001_initial.py | kssvrk/teletrack | ce8e1ce0fcb333875fd54d1a69a59f265c0e2396 | [
"BSD-3-Clause"
] | null | null | null | source/location/migrations/0001_initial.py | kssvrk/teletrack | ce8e1ce0fcb333875fd54d1a69a59f265c0e2396 | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 3.1.2 on 2020-10-17 14:58
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
| 36.567568 | 120 | 0.604582 | # Generated by Django 3.1.2 on 2020-10-17 14:58
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
n... | 0 | 1,163 | 23 |
8c8d29861002ac69dc53ae4d2b8dbdffec7fe001 | 1,178 | py | Python | tests/symbols_test.py | JTSchwartz/chorecore-py | 10acf36ef20db4583f27926b0fc18f0270b22cfc | [
"0BSD"
] | null | null | null | tests/symbols_test.py | JTSchwartz/chorecore-py | 10acf36ef20db4583f27926b0fc18f0270b22cfc | [
"0BSD"
] | null | null | null | tests/symbols_test.py | JTSchwartz/chorecore-py | 10acf36ef20db4583f27926b0fc18f0270b22cfc | [
"0BSD"
] | null | null | null | import chorecore
| 69.294118 | 98 | 0.829372 | import chorecore
def test_fraction_to_symbol():
assert chorecore.symbols.fraction_to_symbol("1/2") == chorecore.fraction.Fraction.ONE_HALF
assert chorecore.symbols.fraction_to_symbol("1/8") == chorecore.fraction.Fraction.ONE_EIGHTH
assert chorecore.symbols.fraction_to_symbol("1/10") == chorecore.fraction.Fraction.... | 1,137 | 0 | 23 |
55ab91521c1b171d35f42ae28297981c244edf1a | 735 | py | Python | Mundo2/Desafio069.py | Marcoakira/Desafios_Python_do_Curso_Guanabara | c49b774148a2232f8f3c21b83e3dc97610480757 | [
"MIT"
] | null | null | null | Mundo2/Desafio069.py | Marcoakira/Desafios_Python_do_Curso_Guanabara | c49b774148a2232f8f3c21b83e3dc97610480757 | [
"MIT"
] | null | null | null | Mundo2/Desafio069.py | Marcoakira/Desafios_Python_do_Curso_Guanabara | c49b774148a2232f8f3c21b83e3dc97610480757 | [
"MIT"
] | null | null | null | # Desafio069 quantas pessoas tem mais de 18, quantos homens, quantas mulheres com menos de 20.
maiorDeIdade = int()
homens = int()
mulheresMenor = int()
while True:
idade = int(input('Qual a idade? '))
sexo = input('M para masculino, e F para feminino ').strip().lower()
if idade > 18:
maiorDeIdad... | 28.269231 | 94 | 0.643537 | # Desafio069 quantas pessoas tem mais de 18, quantos homens, quantas mulheres com menos de 20.
maiorDeIdade = int()
homens = int()
mulheresMenor = int()
while True:
idade = int(input('Qual a idade? '))
sexo = input('M para masculino, e F para feminino ').strip().lower()
if idade > 18:
maiorDeIdad... | 0 | 0 | 0 |
faac24cf431579bec22a2a840c0759c39b7237d8 | 2,445 | py | Python | tests/test_hebrew_python.py | matan-h/hebrew-python | 28e6ab2d14fcada9ffe228660f47ef2af244ab2a | [
"BSD-4-Clause"
] | 1 | 2021-11-11T05:17:21.000Z | 2021-11-11T05:17:21.000Z | tests/test_hebrew_python.py | matan-h/hebrew-python | 28e6ab2d14fcada9ffe228660f47ef2af244ab2a | [
"BSD-4-Clause"
] | 1 | 2021-12-27T00:39:20.000Z | 2021-12-27T00:39:20.000Z | tests/test_hebrew_python.py | matan-h/hebrew-python | 28e6ab2d14fcada9ffe228660f47ef2af244ab2a | [
"BSD-4-Clause"
] | null | null | null | import builtins
import sys
import unittest
import hebrew_python.hook as hepy
from io import StringIO
from contextlib import contextmanager
import re
# for debug the test:
true_stdout = sys.stdout
true_stderr = sys.stderr
DEBUG = False
if DEBUG:
from ddebug import dd
dd.add_output_folder(with_errors=False)
tr... | 27.47191 | 91 | 0.610634 | import builtins
import sys
import unittest
import hebrew_python.hook as hepy
from io import StringIO
from contextlib import contextmanager
import re
# for debug the test:
true_stdout = sys.stdout
true_stderr = sys.stderr
DEBUG = False
if DEBUG:
from ddebug import dd
dd.add_output_folder(with_errors=False)
tr... | 1,722 | 254 | 45 |
cac639136f54f0b421674840cca71ea62ce9f26d | 1,176 | py | Python | Q01__/46_LRU_Cache/Solution.py | hsclinical/leetcode | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | [
"Apache-2.0"
] | null | null | null | Q01__/46_LRU_Cache/Solution.py | hsclinical/leetcode | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | [
"Apache-2.0"
] | null | null | null | Q01__/46_LRU_Cache/Solution.py | hsclinical/leetcode | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | [
"Apache-2.0"
] | null | null | null |
# Your LRUCache object will be instantiated and called as such:
# obj = LRUCache(capacity)
# param_1 = obj.get(key)
# obj.put(key,value) | 33.6 | 64 | 0.517857 | class LRUCache:
def __init__(self, capacity: int):
self.dataDict = {}
self.dataList = []
self.capacity = capacity
def get(self, key: int) -> int:
if key in self.dataList:
index = self.dataList.index(key)
if index != len(self.dataList) - 1:
... | 933 | -6 | 108 |
32d3f498b5b97c7424f3051a49ccac8f836f7aca | 4,115 | py | Python | astrom/kmtn-astrometry/kmtn_astrom.py | changsuchoi/cspy | 9fa8f125bed368f636ea19180e742f8304bbc432 | [
"MIT"
] | null | null | null | astrom/kmtn-astrometry/kmtn_astrom.py | changsuchoi/cspy | 9fa8f125bed368f636ea19180e742f8304bbc432 | [
"MIT"
] | null | null | null | astrom/kmtn-astrometry/kmtn_astrom.py | changsuchoi/cspy | 9fa8f125bed368f636ea19180e742f8304bbc432 | [
"MIT"
] | null | null | null | # python code for KMTNET data astrometry (specially CTIO data)
# read kmtnet_astrom.txt first to understand the order and process
# 2015.09.17 Changsu Choi
from astropy.io import ascii
import numpy as np
import os,sys
from astropy.io import fits
import astropy.units as u
import astropy.coordinates as coord
import ast... | 30.708955 | 380 | 0.72661 | # python code for KMTNET data astrometry (specially CTIO data)
# read kmtnet_astrom.txt first to understand the order and process
# 2015.09.17 Changsu Choi
from astropy.io import ascii
import numpy as np
import os,sys
from astropy.io import fits
import astropy.units as u
import astropy.coordinates as coord
import ast... | 1,952 | 0 | 46 |
da23ddba88a387143815bdc7741f07171f29808d | 823 | py | Python | sksurgeryspeech/ui/sksurgeryspeech_command_line.py | UCL/scikit-surgeryspeech | 4a2dcec3df98969a95863dc91fb5caaeb2d4a238 | [
"BSD-3-Clause"
] | null | null | null | sksurgeryspeech/ui/sksurgeryspeech_command_line.py | UCL/scikit-surgeryspeech | 4a2dcec3df98969a95863dc91fb5caaeb2d4a238 | [
"BSD-3-Clause"
] | 23 | 2020-06-15T11:06:17.000Z | 2020-12-01T14:41:44.000Z | sksurgeryspeech/ui/sksurgeryspeech_command_line.py | SciKit-Surgery/scikit-surgeryspeech | 4a2dcec3df98969a95863dc91fb5caaeb2d4a238 | [
"BSD-3-Clause"
] | null | null | null | # coding=utf-8
"""Command line processing"""
import argparse
from sksurgeryspeech import __version__
from sksurgeryspeech.ui import sksurgeryspeech_demo
def main(args=None):
"""Entry point for scikit-surgeryspeech application"""
parser = argparse.ArgumentParser(description='scikit-surgeryspeech')
ver... | 24.939394 | 77 | 0.708384 | # coding=utf-8
"""Command line processing"""
import argparse
from sksurgeryspeech import __version__
from sksurgeryspeech.ui import sksurgeryspeech_demo
def main(args=None):
"""Entry point for scikit-surgeryspeech application"""
parser = argparse.ArgumentParser(description='scikit-surgeryspeech')
ver... | 0 | 0 | 0 |
b5579edae01fcdc963d77a96b7ec45ad274f61de | 4,862 | py | Python | scripts/pytorch_wrapper.py | JLivingston01/py_research | 928f74287039a933d27c5a5dc3df8db4cb79c152 | [
"MIT"
] | 1 | 2022-02-21T00:47:41.000Z | 2022-02-21T00:47:41.000Z | scripts/pytorch_wrapper.py | JLivingston01/py_research | 928f74287039a933d27c5a5dc3df8db4cb79c152 | [
"MIT"
] | null | null | null | scripts/pytorch_wrapper.py | JLivingston01/py_research | 928f74287039a933d27c5a5dc3df8db4cb79c152 | [
"MIT"
] | null | null | null |
import numpy as np
import pandas as pd
import torch
from torch import nn
from torch.utils.data import TensorDataset,DataLoader
X = np.random.normal(5,2,(10000,30))
Y = X@np.random.normal(1,2,30)
model = NeuralNetwork(
configuration= nn.Sequential(
nn.Linear(30,10),
... | 24.31 | 78 | 0.569724 |
import numpy as np
import pandas as pd
import torch
from torch import nn
from torch.utils.data import TensorDataset,DataLoader
class NeuralNetwork(nn.Module):
def __init__(self,
configuration,
loss_fn,
optimizer,
lr,
batch_s... | 2,132 | 10 | 225 |
b56b84899f7a80aac99a7d6d79d83e0d3df834a8 | 958 | py | Python | scraper/storage_spiders/kkfashionvn.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | null | null | null | scraper/storage_spiders/kkfashionvn.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | 10 | 2020-02-11T23:34:28.000Z | 2022-03-11T23:16:12.000Z | scraper/storage_spiders/kkfashionvn.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | 3 | 2018-08-05T14:54:25.000Z | 2021-06-07T01:49:59.000Z | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='mo-ta']/p[1]",
'price' : "//span[@class='item_price']",
'category' : "//div[@class='tieu-de']/h1/a",
'descriptio... | 35.481481 | 111 | 0.609603 | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='mo-ta']/p[1]",
'price' : "//span[@class='item_price']",
'category' : "//div[@class='tieu-de']/h1/a",
'descriptio... | 0 | 0 | 0 |
209e7d84d4d078f6bb157ff3081913b22bb20177 | 835 | py | Python | Python/benchmarking/struct_deserialization.py | felixbinder/tdw | eb2b00b74b9fcf8ef2dcba1baa62424640c520b1 | [
"BSD-2-Clause"
] | 307 | 2020-05-20T18:08:49.000Z | 2022-03-21T19:55:08.000Z | Python/benchmarking/struct_deserialization.py | felixbinder/tdw | eb2b00b74b9fcf8ef2dcba1baa62424640c520b1 | [
"BSD-2-Clause"
] | 92 | 2020-07-21T18:29:13.000Z | 2022-03-28T07:25:54.000Z | Python/benchmarking/struct_deserialization.py | felixbinder/tdw | eb2b00b74b9fcf8ef2dcba1baa62424640c520b1 | [
"BSD-2-Clause"
] | 53 | 2020-07-14T15:55:17.000Z | 2022-03-20T16:20:01.000Z | from time import time
from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
"""
Benchmark the speed of deserializing structs (such as Vector3 and Quaternion).
"""
if __name__ == "__main__":
o_id = 0
cmds = [{"$type": "teleport_object",
"position": {"x": 0, "y": 0, "z": 0},
... | 26.935484 | 78 | 0.553293 | from time import time
from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
"""
Benchmark the speed of deserializing structs (such as Vector3 and Quaternion).
"""
if __name__ == "__main__":
o_id = 0
cmds = [{"$type": "teleport_object",
"position": {"x": 0, "y": 0, "z": 0},
... | 0 | 0 | 0 |
f356fa4c071df3368258b586764b644585a00714 | 141 | py | Python | exercises/en/exc_01_03.py | kaseyhackspace/eng-course-sample | 0dd3821f34b9111eb4de8f0f24b7516061407caf | [
"MIT"
] | null | null | null | exercises/en/exc_01_03.py | kaseyhackspace/eng-course-sample | 0dd3821f34b9111eb4de8f0f24b7516061407caf | [
"MIT"
] | null | null | null | exercises/en/exc_01_03.py | kaseyhackspace/eng-course-sample | 0dd3821f34b9111eb4de8f0f24b7516061407caf | [
"MIT"
] | null | null | null | import numpy as np
q=__
l=__
x = np.linspace(0,l,__)
M = q/2*(l*x-x**2)
V = q*(1/2-x)
print("Moment")
print(__)
print("Shear")
print(__) | 10.071429 | 23 | 0.588652 | import numpy as np
q=__
l=__
x = np.linspace(0,l,__)
M = q/2*(l*x-x**2)
V = q*(1/2-x)
print("Moment")
print(__)
print("Shear")
print(__) | 0 | 0 | 0 |
fc40c4432ff8ca12685d2abc38ad34faf14a4a57 | 3,654 | py | Python | ybk/frontend/calendar.py | sopnic/ybk | e829aeed0ad867e62b372df357157f9b72bb4b15 | [
"MIT"
] | null | null | null | ybk/frontend/calendar.py | sopnic/ybk | e829aeed0ad867e62b372df357157f9b72bb4b15 | [
"MIT"
] | null | null | null | ybk/frontend/calendar.py | sopnic/ybk | e829aeed0ad867e62b372df357157f9b72bb4b15 | [
"MIT"
] | 1 | 2021-06-23T19:19:03.000Z | 2021-06-23T19:19:03.000Z | from datetime import datetime, timedelta
from collections import defaultdict
from flask import render_template, request
from flask.ext.login import login_required
from ybk.models import Collection
from ybk.settings import get_conf
from .views import frontend
@frontend.route('/calendar/')
@login_required
| 35.134615 | 78 | 0.500274 | from datetime import datetime, timedelta
from collections import defaultdict
from flask import render_template, request
from flask.ext.login import login_required
from ybk.models import Collection
from ybk.settings import get_conf
from .views import frontend
@frontend.route('/calendar/')
@login_required
def calend... | 3,380 | 0 | 22 |
d74b5019d83c90d0f1d6c091d0a5982297146bcc | 350 | py | Python | SomeCode/Fibonacci_Sequence/fib_recursive.py | arthxvr/coding--python | 1e91707be6cb8fef816dad0c1a65f2cc3327357e | [
"MIT"
] | null | null | null | SomeCode/Fibonacci_Sequence/fib_recursive.py | arthxvr/coding--python | 1e91707be6cb8fef816dad0c1a65f2cc3327357e | [
"MIT"
] | null | null | null | SomeCode/Fibonacci_Sequence/fib_recursive.py | arthxvr/coding--python | 1e91707be6cb8fef816dad0c1a65f2cc3327357e | [
"MIT"
] | null | null | null |
for c in range(1, 50):
print(c, ":", fibonacci(c))
| 23.333333 | 52 | 0.52 | def fibonacci(n):
if type(n) != int:
raise TypeError('n must be a positive int')
if n < 1:
raise ValueError('n must be a positive int')
if n == 1:
return 1
elif n == 2:
return 2
elif n > 2:
return fibonacci(n - 1) + fibonacci(n - 2)
for c in range(1, 50):
... | 272 | 0 | 22 |
4a8e25813b907a40feaa1559a5f471ab13c22d1f | 3,194 | py | Python | experiments-tosem/rq1.py | testingautomated-usi/DeepHyperion | 698e27cdea7581055de0d5f02d0585053452ac8f | [
"MIT"
] | 5 | 2021-04-28T09:35:44.000Z | 2021-09-10T18:18:08.000Z | experiments-tosem/rq1.py | testingautomated-usi/DeepHyperion | 698e27cdea7581055de0d5f02d0585053452ac8f | [
"MIT"
] | null | null | null | experiments-tosem/rq1.py | testingautomated-usi/DeepHyperion | 698e27cdea7581055de0d5f02d0585053452ac8f | [
"MIT"
] | 2 | 2021-04-26T12:46:44.000Z | 2021-09-16T08:27:53.000Z | #
# This is the code for plotting the figures for RQ1. It is optimized towards plotting exactly those figures
# Use data_analysis.py for explorative data analysis
#
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
from plotting_utils import load_data_from_folder, creat... | 38.95122 | 114 | 0.716969 | #
# This is the code for plotting the figures for RQ1. It is optimized towards plotting exactly those figures
# Use data_analysis.py for explorative data analysis
#
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
from plotting_utils import load_data_from_folder, creat... | 2,649 | 0 | 46 |
682b75ede6c09c1b14fd7011e3d65b73f93372df | 1,556 | py | Python | example/telegrambot.py | Nachtalb/django-telegrambot | 55aa2683e7453d7c65701fecdfcd029e86f34b7d | [
"BSD-3-Clause"
] | 245 | 2016-01-26T16:24:41.000Z | 2022-03-07T08:00:36.000Z | example/telegrambot.py | Nachtalb/django-telegrambot | 55aa2683e7453d7c65701fecdfcd029e86f34b7d | [
"BSD-3-Clause"
] | 49 | 2016-09-17T02:26:50.000Z | 2021-12-20T06:53:19.000Z | example/telegrambot.py | Nachtalb/django-telegrambot | 55aa2683e7453d7c65701fecdfcd029e86f34b7d | [
"BSD-3-Clause"
] | 97 | 2016-04-17T22:05:19.000Z | 2022-03-24T11:04:48.000Z | # -*- coding: utf-8 -*-
# Example code for telegrambot.py module
from telegram.ext import CommandHandler, MessageHandler, Filters
from django_telegrambot.apps import DjangoTelegramBot
import logging
logger = logging.getLogger(__name__)
# Define a few command handlers. These usually take the two arguments bot and
# u... | 31.12 | 91 | 0.726864 | # -*- coding: utf-8 -*-
# Example code for telegrambot.py module
from telegram.ext import CommandHandler, MessageHandler, Filters
from django_telegrambot.apps import DjangoTelegramBot
import logging
logger = logging.getLogger(__name__)
# Define a few command handlers. These usually take the two arguments bot and
# u... | 1,036 | 0 | 114 |
0332766a058a8145c7c4f524085c8c21f3bf51b0 | 1,558 | py | Python | core/face_alignment.py | zhaipro/yry | 81587179b40fafeb6c24ef58489c59061f7368ce | [
"Apache-2.0"
] | null | null | null | core/face_alignment.py | zhaipro/yry | 81587179b40fafeb6c24ef58489c59061f7368ce | [
"Apache-2.0"
] | null | null | null | core/face_alignment.py | zhaipro/yry | 81587179b40fafeb6c24ef58489c59061f7368ce | [
"Apache-2.0"
] | null | null | null | import os
import dlib
from pathlib import Path
root_path = Path(__file__).parent
landmarks_model_path = os.path.join(root_path, 'shape_predictor_68_face_landmarks.dat')
landmarks_detector = LandmarksDetector(landmarks_model_path)
| 43.277778 | 130 | 0.595635 | import os
import dlib
from pathlib import Path
root_path = Path(__file__).parent
class LandmarksDetector:
def __init__(self, predictor_model_path):
"""
:param predictor_model_path: path to shape_predictor_68_face_landmarks.dat file
"""
self.detector = dlib.get_frontal_fa... | 889 | 403 | 24 |
6154f32c6c3c7577ec90b8c0271ec0cf22620436 | 4,210 | py | Python | app/paper/paperSigma/CONUS_map.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/paper/paperSigma/CONUS_map.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | null | null | null | app/paper/paperSigma/CONUS_map.py | fkwai/geolearn | 30cb4353d22af5020a48100d07ab04f465a315b0 | [
"MIT"
] | 2 | 2021-04-04T02:45:59.000Z | 2022-03-19T09:41:39.000Z | import os
import rnnSMAP
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import imp
imp.reload(rnnSMAP)
rnnSMAP.reload()
figTitleLst = ['Temporal Test', 'Spatial Test']
figNameLst = ['temporal', 'spatial']
matplotlib.rcParams.update({'font.size': 14})
matplotlib.rcParams.upda... | 32.635659 | 77 | 0.587648 | import os
import rnnSMAP
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import imp
imp.reload(rnnSMAP)
rnnSMAP.reload()
figTitleLst = ['Temporal Test', 'Spatial Test']
figNameLst = ['temporal', 'spatial']
matplotlib.rcParams.update({'font.size': 14})
matplotlib.rcParams.upda... | 0 | 0 | 0 |
e3e55584798ccf7f1581a3f462a9c39c61dee078 | 15,483 | py | Python | src/crosswalks/make_crosswalk.py | jujiang526/mta | d8f01cb6ab1cfd74109937c7ac4d2a8ae8be6084 | [
"Apache-2.0"
] | 14 | 2020-06-12T00:22:29.000Z | 2022-03-20T07:46:28.000Z | src/crosswalks/make_crosswalk.py | jujiang526/mta | d8f01cb6ab1cfd74109937c7ac4d2a8ae8be6084 | [
"Apache-2.0"
] | 4 | 2020-08-07T18:20:24.000Z | 2022-02-08T15:43:55.000Z | src/crosswalks/make_crosswalk.py | jujiang526/mta | d8f01cb6ab1cfd74109937c7ac4d2a8ae8be6084 | [
"Apache-2.0"
] | 3 | 2020-07-03T15:41:22.000Z | 2021-09-26T19:24:45.000Z | import pandas as pd
import geopandas as gpd
import re
import textdistance
import numpy as np
import math
if __name__ == "__main__":
main() | 59.779923 | 182 | 0.613835 | import pandas as pd
import geopandas as gpd
import re
import textdistance
import numpy as np
import math
def make_ordinal(s):
ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(math.floor(n/10)%10!=1)*(n%10<4)*n%10::4])
name_ord = []
for x in s:
x = x.title()
m = re.findall(r'\d+', x)
... | 15,293 | 0 | 46 |
0ba651c21a66e26b88a2cb551112680207e27de1 | 91 | py | Python | setup.py | wtnb75/tarjinja | f6ac83d8bde0f476274002ba01d7709568f9a529 | [
"MIT"
] | 3 | 2021-06-05T22:55:25.000Z | 2022-01-23T11:48:21.000Z | setup.py | wtnb75/tarjinja | f6ac83d8bde0f476274002ba01d7709568f9a529 | [
"MIT"
] | 6 | 2020-11-29T16:52:58.000Z | 2020-12-01T21:51:58.000Z | setup.py | wtnb75/tarjinja | f6ac83d8bde0f476274002ba01d7709568f9a529 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(install_requires=open("requirements.txt").readlines())
| 22.75 | 60 | 0.813187 | from setuptools import setup
setup(install_requires=open("requirements.txt").readlines())
| 0 | 0 | 0 |
db88f9801fb7811f0a3219bfa14db8d66420f6dc | 35,685 | py | Python | sip-4.19.21/configure.py | Clynie/StockSpider-1 | 4d3bec01f581c4c8dd45af668ce8aab4c98685ba | [
"MIT"
] | null | null | null | sip-4.19.21/configure.py | Clynie/StockSpider-1 | 4d3bec01f581c4c8dd45af668ce8aab4c98685ba | [
"MIT"
] | null | null | null | sip-4.19.21/configure.py | Clynie/StockSpider-1 | 4d3bec01f581c4c8dd45af668ce8aab4c98685ba | [
"MIT"
] | null | null | null | # This script handles the SIP configuration and generates the Makefiles.
#
# Copyright (c) 2019 Riverbank Computing Limited <info@riverbankcomputing.com>
#
# This file is part of SIP.
#
# This copy of SIP is licensed for use under the terms of the SIP License
# Agreement. See the file LICENSE for more details.
#
# Thi... | 34.148325 | 151 | 0.612414 | # This script handles the SIP configuration and generates the Makefiles.
#
# Copyright (c) 2019 Riverbank Computing Limited <info@riverbankcomputing.com>
#
# This file is part of SIP.
#
# This copy of SIP is licensed for use under the terms of the SIP License
# Agreement. See the file LICENSE for more details.
#
# Thi... | 916 | 0 | 137 |
ea27b8518a7a50aa30fef48f4dcfe22e4fa2434b | 908 | py | Python | stix2matcher/test/test_object_path_quoting.py | clslgrnc/cti-pattern-matcher | bcd37eeb8c44e012ff1dbe4434c510f343575840 | [
"BSD-3-Clause"
] | 32 | 2017-02-22T14:54:01.000Z | 2022-02-21T09:10:02.000Z | stix2matcher/test/test_object_path_quoting.py | clslgrnc/cti-pattern-matcher | bcd37eeb8c44e012ff1dbe4434c510f343575840 | [
"BSD-3-Clause"
] | 44 | 2016-11-03T21:41:53.000Z | 2022-03-30T15:22:23.000Z | stix2matcher/test/test_object_path_quoting.py | clslgrnc/cti-pattern-matcher | bcd37eeb8c44e012ff1dbe4434c510f343575840 | [
"BSD-3-Clause"
] | 23 | 2016-11-07T19:03:13.000Z | 2021-06-10T10:12:36.000Z | import pytest
from stix2patterns.pattern import ParseException
from stix2matcher.matcher import match
_observations = [
{
"type": "observed-data",
"first_observed": "2004-10-11T21:44:58Z",
"last_observed": "2004-10-11T21:44:58Z",
"number_observed": 1,
"objects": {
... | 23.282051 | 49 | 0.562775 | import pytest
from stix2patterns.pattern import ParseException
from stix2matcher.matcher import match
_observations = [
{
"type": "observed-data",
"first_observed": "2004-10-11T21:44:58Z",
"last_observed": "2004-10-11T21:44:58Z",
"number_observed": 1,
"objects": {
... | 135 | 0 | 44 |
6f77ee6c621798575aa325b96f73f4cb76819cbc | 987 | py | Python | GitRangerLiu/0002/store_reldb.py | saurabh896/python-1 | f8d3aedf4c0fe6e24dfa3269ea7e642c9f7dd9b7 | [
"MIT"
] | 3,976 | 2015-01-01T15:49:39.000Z | 2022-03-31T03:47:56.000Z | GitRangerLiu/0002/store_reldb.py | dwh65416396/python | 1a7e3edd1cd3422cc0eaa55471a0b42e004a9a1a | [
"MIT"
] | 97 | 2015-01-11T02:59:46.000Z | 2022-03-16T14:01:56.000Z | GitRangerLiu/0002/store_reldb.py | dwh65416396/python | 1a7e3edd1cd3422cc0eaa55471a0b42e004a9a1a | [
"MIT"
] | 3,533 | 2015-01-01T06:19:30.000Z | 2022-03-28T13:14:54.000Z | #reference: https://www.tutorialspoint.com/python/python_database_access.htm
import MySQLdb as mysqldb
if __name__ == '__main__':
store_reldb()
| 25.973684 | 79 | 0.570415 | #reference: https://www.tutorialspoint.com/python/python_database_access.htm
import MySQLdb as mysqldb
def store_reldb():
db = mysqldb.connect(host = 'localhost', user = 'chris', passwd = '1314', \
db = 'show_me_the_code')
cursor = db.cursor()
#Create a table
cursor.execute('... | 810 | 0 | 23 |
ab5129ded6bb3b79a9f5e6771ecbe5565cc412bb | 775 | py | Python | examples/simple/routes/get_user.py | nekonoshiri/tiny-router | 3bb808bcc9f9eb368ee390179dfc5e9d48cf8600 | [
"MIT"
] | null | null | null | examples/simple/routes/get_user.py | nekonoshiri/tiny-router | 3bb808bcc9f9eb368ee390179dfc5e9d48cf8600 | [
"MIT"
] | null | null | null | examples/simple/routes/get_user.py | nekonoshiri/tiny-router | 3bb808bcc9f9eb368ee390179dfc5e9d48cf8600 | [
"MIT"
] | null | null | null | import json
from typing import Any, Dict
from ..request import Request
from ..response import Response
from ..router import Router
router = Router()
@router.get("/users/{user_id}")
| 25 | 76 | 0.654194 | import json
from typing import Any, Dict
from ..request import Request
from ..response import Response
from ..router import Router
router = Router()
@router.get("/users/{user_id}")
def get_user(request: Request) -> Response:
user_id = request.path_parameters.get("user_id")
if not user_id:
return Re... | 544 | 0 | 45 |
c32d8594788213d0081bff4ce0cd3bedd23da94d | 350 | py | Python | E033/main.py | alperkonuralp/AlperIlePython | 64e4940648a74306951dbfd97b593cfbcd94b7f6 | [
"Apache-2.0"
] | 1 | 2021-01-30T16:50:40.000Z | 2021-01-30T16:50:40.000Z | E033/main.py | alperkonuralp/AlperIlePython | 64e4940648a74306951dbfd97b593cfbcd94b7f6 | [
"Apache-2.0"
] | null | null | null | E033/main.py | alperkonuralp/AlperIlePython | 64e4940648a74306951dbfd97b593cfbcd94b7f6 | [
"Apache-2.0"
] | null | null | null | import os
filename = os.path.join(os.getcwd(), "data.json")
# f = open(filename)
with open(filename, mode="w") as f:
print("name :", f.name)
print("mode :", f.mode)
print("buffer :", f.buffer)
print("encoding :", f.encoding)
print("closed :", f.closed)
print("errors :", f.errors)
... | 23.333333 | 50 | 0.574286 | import os
filename = os.path.join(os.getcwd(), "data.json")
# f = open(filename)
with open(filename, mode="w") as f:
print("name :", f.name)
print("mode :", f.mode)
print("buffer :", f.buffer)
print("encoding :", f.encoding)
print("closed :", f.closed)
print("errors :", f.errors)
... | 0 | 0 | 0 |
f0884fef8ad8756af5861bcee7d27f5a89b2c466 | 931 | py | Python | setup.py | jmtapio/not-co-logger | 2556b874511e583e483d84f1b5bbcec4cb0d74ba | [
"MIT"
] | 1 | 2020-04-23T06:17:11.000Z | 2020-04-23T06:17:11.000Z | setup.py | jmtapio/not-co-logger | 2556b874511e583e483d84f1b5bbcec4cb0d74ba | [
"MIT"
] | null | null | null | setup.py | jmtapio/not-co-logger | 2556b874511e583e483d84f1b5bbcec4cb0d74ba | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from setuptools import setup
setup(
name='notcologger',
version='0.1.2',
description='Not CO Logger, a cloud logging library.',
long_description=
'''This library is aimed at helping produce consistent searchable log
entries to stdout in a cloud/container environment.''',
k... | 30.032258 | 70 | 0.649839 | #!/usr/bin/env python3
from setuptools import setup
setup(
name='notcologger',
version='0.1.2',
description='Not CO Logger, a cloud logging library.',
long_description=
'''This library is aimed at helping produce consistent searchable log
entries to stdout in a cloud/container environment.''',
k... | 0 | 0 | 0 |
846c34c251c0cbeffeac8f6640cbae570766595b | 1,359 | py | Python | src/sensai/tensorflow/tf_mlp.py | schroedk/sensAI | a2d6d7c6ab7bed9ccd5eac216dd988c49d69aec7 | [
"MIT"
] | 10 | 2020-02-19T09:16:54.000Z | 2022-02-04T16:19:33.000Z | src/sensai/tensorflow/tf_mlp.py | schroedk/sensAI | a2d6d7c6ab7bed9ccd5eac216dd988c49d69aec7 | [
"MIT"
] | 47 | 2020-03-11T16:26:51.000Z | 2022-02-04T15:29:40.000Z | src/sensai/tensorflow/tf_mlp.py | schroedk/sensAI | a2d6d7c6ab7bed9ccd5eac216dd988c49d69aec7 | [
"MIT"
] | 5 | 2020-03-12T21:33:22.000Z | 2020-12-21T14:43:04.000Z | from tensorflow import keras
from .tf_base import KerasVectorRegressionModel
from .. import normalisation
| 46.862069 | 123 | 0.727005 | from tensorflow import keras
from .tf_base import KerasVectorRegressionModel
from .. import normalisation
class KerasMultiLayerPerceptronVectorRegressionModel(KerasVectorRegressionModel):
def __init__(self, hiddenDims=(5,5), hiddenActivation="sigmoid", outputActivation="sigmoid", loss="mse",
metrics=... | 1,086 | 60 | 103 |
06f624c430991a082034d586c733777b98be2ca9 | 1,998 | py | Python | run_scripts/convert_pmg_xsec_db.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | run_scripts/convert_pmg_xsec_db.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | run_scripts/convert_pmg_xsec_db.py | morgenst/PyAnalysisTools | f3b1f89870e7bbae1549c228a56d2c36bbba7af3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
import sys
from PyAnalysisTools.base import get_default_argparser, default_init
from PyAnalysisTools.base.YAMLHandle import YAMLLoader, YAMLDumper
from PyAnalysisTools.AnalysisTools.XSHandle import Dataset
if __name__ == '__main__':
main(sys.argv[1:]... | 39.176471 | 110 | 0.5996 | #!/usr/bin/env python
from __future__ import print_function
import sys
from PyAnalysisTools.base import get_default_argparser, default_init
from PyAnalysisTools.base.YAMLHandle import YAMLLoader, YAMLDumper
from PyAnalysisTools.AnalysisTools.XSHandle import Dataset
def main(argv):
parser = get_default_argparse... | 1,653 | 0 | 23 |
a2becad7a4561b792574e2f10d402e4cc13be0c4 | 3,702 | py | Python | tests/builder/test_decorator_builder.py | igrek51/nuclear | d610e63ad98143dcc77e77e4ecbdaed9c38c3314 | [
"MIT"
] | 6 | 2020-06-24T20:03:06.000Z | 2021-09-21T10:05:17.000Z | tests/builder/test_decorator_builder.py | igrek51/nuclear | d610e63ad98143dcc77e77e4ecbdaed9c38c3314 | [
"MIT"
] | 2 | 2021-09-19T15:28:02.000Z | 2021-09-21T17:29:38.000Z | tests/builder/test_decorator_builder.py | igrek51/nuclear | d610e63ad98143dcc77e77e4ecbdaed9c38c3314 | [
"MIT"
] | 2 | 2020-06-24T21:21:35.000Z | 2021-08-01T17:24:38.000Z | from nuclear import *
from nuclear.parser.error import CliDefinitionError
from tests.asserts import MockIO, assert_error
from functools import reduce
import base64
cli = CliBuilder()
@cli.add_command('hello')
def say_hello(name: str, decode: bool = False, repeat: int = 1):
"""
Say hello to someone
:para... | 31.109244 | 86 | 0.619395 | from nuclear import *
from nuclear.parser.error import CliDefinitionError
from tests.asserts import MockIO, assert_error
from functools import reduce
import base64
cli = CliBuilder()
@cli.add_command('hello')
def say_hello(name: str, decode: bool = False, repeat: int = 1):
"""
Say hello to someone
:para... | 2,509 | 0 | 138 |
9b1e9c8c1bcdcd96a6e85f61e36b49c932bf7d5a | 1,083 | py | Python | intake/migrations/0064_purgedvisitor.py | cforlando/intake | a5233d5c0f862f28ee265b9b4831405aabeec7e2 | [
"MIT"
] | 51 | 2016-07-20T02:26:57.000Z | 2021-07-07T14:45:06.000Z | intake/migrations/0064_purgedvisitor.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 1,091 | 2016-04-29T18:07:45.000Z | 2021-04-19T18:39:39.000Z | intake/migrations/0064_purgedvisitor.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 24 | 2016-06-14T18:10:43.000Z | 2021-11-14T20:26:39.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-22 18:16
from __future__ import unicode_literals
from django.db import migrations, models
| 27.075 | 114 | 0.493998 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-22 18:16
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('intake', '0063_purgedapplication_purgedstatusupdate'),
]
operations = [
mig... | 0 | 904 | 23 |
41483716ff9a653ae3d2f1df97b42c5f2ab2706f | 67 | py | Python | files/Factors.py | AjayRajNelapudi/Script-Evaluation-Assistant | 200a3fc11e15f22b812c829d133707393be39c23 | [
"MIT"
] | 1 | 2018-09-22T10:10:42.000Z | 2018-09-22T10:10:42.000Z | files/Factors.py | AjayRajNelapudi/Script-Evaluation-Assistant | 200a3fc11e15f22b812c829d133707393be39c23 | [
"MIT"
] | 1 | 2018-09-16T14:44:47.000Z | 2018-09-16T14:44:47.000Z | files/Factors.py | AjayRajNelapudi/Script-Evaluation-Assistant | 200a3fc11e15f22b812c829d133707393be39c23 | [
"MIT"
] | 3 | 2018-09-16T14:37:55.000Z | 2018-09-30T06:44:49.000Z | n = int(input())
for i in range(0, n+1):
if n % i == 0:
print(i) | 16.75 | 23 | 0.507463 | n = int(input())
for i in range(0, n+1):
if n % i == 0:
print(i) | 0 | 0 | 0 |
c11ae1d44dda85eca2e9072897484d9f30c150e5 | 70,518 | py | Python | neurallog/network/dataset.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | 6 | 2021-05-04T12:24:17.000Z | 2021-07-28T03:20:48.000Z | neurallog/network/dataset.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | null | null | null | neurallog/network/dataset.py | guimaraes13/NeuralLog | 63cca557257ec67905b79048718db385cc4c3aab | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Victor Guimarães
#
# 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 i... | 40.181197 | 80 | 0.57011 | # Copyright 2021 Victor Guimarães
#
# 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 i... | 23,995 | 0 | 680 |
ebce24889550988f1b0cf018468119ba1adbce7c | 8,754 | py | Python | hat/vector_control/migrations/0001_initial.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 29 | 2020-12-26T07:22:19.000Z | 2022-03-07T13:40:09.000Z | hat/vector_control/migrations/0001_initial.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 150 | 2020-11-09T15:03:27.000Z | 2022-03-07T15:36:07.000Z | hat/vector_control/migrations/0001_initial.py | ekhalilbsq/iaso | e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee | [
"MIT"
] | 4 | 2020-11-09T10:38:13.000Z | 2021-10-04T09:42:47.000Z | # Generated by Django 2.0 on 2018-12-07 11:05
from django.conf import settings
import django.contrib.postgres.fields
import django.contrib.postgres.fields.citext
from django.db import migrations, models
import django.db.models.deletion
import uuid
| 37.570815 | 113 | 0.421407 | # Generated by Django 2.0 on 2018-12-07 11:05
from django.conf import settings
import django.contrib.postgres.fields
import django.contrib.postgres.fields.citext
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
depen... | 0 | 8,481 | 23 |
0c7f8da16f61bced21ebb02151a449d6604c473a | 3,447 | py | Python | kaivy/windows/virtual_window_title_bar.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | kaivy/windows/virtual_window_title_bar.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | kaivy/windows/virtual_window_title_bar.py | team-kaivy/kaivy | e27b53e8e9eedc48abc99151f3adbb76f0a9b331 | [
"MIT"
] | null | null | null | ########################################################################################################################
# #
# This file is part of kAIvy ... | 39.62069 | 136 | 0.495213 | ########################################################################################################################
# #
# This file is part of kAIvy ... | 744 | 0 | 27 |
b0334bea56715d8ba34f24b296effc7b67be149a | 15,462 | py | Python | poet/build/builder.py | sdispater/poet | 5a07ee95e546ab6460bde43bf59837120e17dfa5 | [
"MIT"
] | 367 | 2017-04-01T15:10:04.000Z | 2021-12-23T18:26:03.000Z | poet/build/builder.py | sdispater/poet | 5a07ee95e546ab6460bde43bf59837120e17dfa5 | [
"MIT"
] | 22 | 2017-04-13T15:39:02.000Z | 2017-10-05T14:55:26.000Z | poet/build/builder.py | sdispater/poet | 5a07ee95e546ab6460bde43bf59837120e17dfa5 | [
"MIT"
] | 16 | 2017-04-14T08:19:48.000Z | 2019-07-21T13:34:12.000Z | # -*- coding: utf-8 -*-
import os
import re
import warnings
from setuptools.dist import Distribution
from setuptools.extension import Extension
from pip.commands.wheel import WheelCommand
from pip.status_codes import SUCCESS
from semantic_version import Spec, Version
from .._compat import Path, PY2, encode
from ..ut... | 29.677543 | 98 | 0.525805 | # -*- coding: utf-8 -*-
import os
import re
import warnings
from setuptools.dist import Distribution
from setuptools.extension import Extension
from pip.commands.wheel import WheelCommand
from pip.status_codes import SUCCESS
from semantic_version import Spec, Version
from .._compat import Path, PY2, encode
from ..ut... | 4,264 | 0 | 189 |
8aa35a9d3b950a629adc8f543bb25b86ccfe5177 | 24,262 | py | Python | lingvo/core/beam_search_helper.py | shadowridgedev/lingvo | 7a55484a3bc424f06ad8a921fb7e623ade73b0bf | [
"Apache-2.0"
] | null | null | null | lingvo/core/beam_search_helper.py | shadowridgedev/lingvo | 7a55484a3bc424f06ad8a921fb7e623ade73b0bf | [
"Apache-2.0"
] | null | null | null | lingvo/core/beam_search_helper.py | shadowridgedev/lingvo | 7a55484a3bc424f06ad8a921fb7e623ade73b0bf | [
"Apache-2.0"
] | 1 | 2021-12-22T00:26:59.000Z | 2021-12-22T00:26:59.000Z | # Copyright 2018 The TensorFlow 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 applica... | 44.435897 | 80 | 0.667958 | # Copyright 2018 The TensorFlow 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 applica... | 4,294 | 0 | 102 |
a783b5038e9d34e2c321cad981dfaf4376994938 | 5,021 | py | Python | vortex/VortexPayloadProtocol.py | Synerty/vortexpy | fcf4c4dccbdf300b04bb962276230a48434cba17 | [
"MIT"
] | 1 | 2018-01-04T10:55:49.000Z | 2018-01-04T10:55:49.000Z | vortex/VortexPayloadProtocol.py | Synerty/vortexpy | fcf4c4dccbdf300b04bb962276230a48434cba17 | [
"MIT"
] | null | null | null | vortex/VortexPayloadProtocol.py | Synerty/vortexpy | fcf4c4dccbdf300b04bb962276230a48434cba17 | [
"MIT"
] | null | null | null | """
* Created by Synerty Pty Ltd
*
* This software is open source, the MIT license applies.
*
* Website : http://www.synerty.com
* Support : support@synerty.com
"""
import logging
from abc import ABCMeta, abstractmethod
from collections import deque
from twisted.internet import reactor
from twisted.internet.defe... | 32.185897 | 89 | 0.614021 | """
* Created by Synerty Pty Ltd
*
* This software is open source, the MIT license applies.
*
* Website : http://www.synerty.com
* Support : support@synerty.com
"""
import logging
from abc import ABCMeta, abstractmethod
from collections import deque
from twisted.internet import reactor
from twisted.internet.defe... | 2,801 | 1,539 | 23 |
2fa250f6887152c9f5dfbcb9850a379e8af9a21f | 4,568 | py | Python | matsdp/apt/apt_plot.py | dianwdw/matsdp | b5b822036d2ae1dab00f02a39fe7ba4a51384017 | [
"BSD-3-Clause"
] | 2 | 2019-11-12T08:35:45.000Z | 2022-02-20T14:26:54.000Z | matsdp/apt/apt_plot.py | dianwdw/matsdp | b5b822036d2ae1dab00f02a39fe7ba4a51384017 | [
"BSD-3-Clause"
] | null | null | null | matsdp/apt/apt_plot.py | dianwdw/matsdp | b5b822036d2ae1dab00f02a39fe7ba4a51384017 | [
"BSD-3-Clause"
] | 1 | 2021-12-13T13:27:04.000Z | 2021-12-13T13:27:04.000Z | # -*- coding: utf-8 -*-
import matplotlib
matplotlib.use("Agg")
| 44.784314 | 167 | 0.598074 | # -*- coding: utf-8 -*-
import matplotlib
matplotlib.use("Agg")
def plot_proxigram_csv(proxigram_csv_file_path, sysname, visible_elmt_list, interplation_on = False, fig_width=6, fig_height=5, fig_dpi = 600, fig_format = 'png'):
args_dict = locals()
import os
import numpy as np
import matplotlib... | 4,474 | 0 | 25 |
7cca1a7ee26e5b0c58ebf6109568a30fa8e46997 | 37,125 | py | Python | src/tac/core/wavenet_vocoder/models/wavenet.py | stefantaubert/Tacotron-2 | 710a3b39b48147307fa8eef2c9f635562f48d49a | [
"MIT"
] | null | null | null | src/tac/core/wavenet_vocoder/models/wavenet.py | stefantaubert/Tacotron-2 | 710a3b39b48147307fa8eef2c9f635562f48d49a | [
"MIT"
] | null | null | null | src/tac/core/wavenet_vocoder/models/wavenet.py | stefantaubert/Tacotron-2 | 710a3b39b48147307fa8eef2c9f635562f48d49a | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
from src.etc import audio
from src.tac.core.wavenet_vocoder import util
from src.tac.core.wavenet_vocoder.models.gaussian import sample_from_gaussian
from src.tac.core.wavenet_vocoder.models.mixture import \
sample_from_discretized_mix_logistic
from src.tac.core.wavenet_v... | 40.005388 | 168 | 0.713185 | import numpy as np
import tensorflow as tf
from src.etc import audio
from src.tac.core.wavenet_vocoder import util
from src.tac.core.wavenet_vocoder.models.gaussian import sample_from_gaussian
from src.tac.core.wavenet_vocoder.models.mixture import \
sample_from_discretized_mix_logistic
from src.tac.core.wavenet_v... | 8,819 | 0 | 264 |
d4cd7ebf8fa512c108f7df03d7c875dde967fc1e | 2,022 | py | Python | Recipe_Core_App/models/custom_user.py | ziibii88/Recipe_API_Project | 486da89a1c71554930dbb5a535a9a5c27d26667b | [
"MIT"
] | 2 | 2020-05-12T03:36:33.000Z | 2020-11-24T08:22:16.000Z | Recipe_Core_App/models/custom_user.py | ziibii88/Recipe_API_Project | 486da89a1c71554930dbb5a535a9a5c27d26667b | [
"MIT"
] | 10 | 2021-03-30T13:20:42.000Z | 2022-03-12T00:29:05.000Z | Recipe_Core_App/models/custom_user.py | ziibii88/Recipe_API_Project | 486da89a1c71554930dbb5a535a9a5c27d26667b | [
"MIT"
] | null | null | null | """Custom User Model"""
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
from django.db import models
class CustomUserManager(BaseUserManager):
"""Custom User Manager overridden from BaseUserManager for CustomUser"""
def _create_user(self, email, password=None... | 42.125 | 76 | 0.696835 | """Custom User Model"""
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
from django.db import models
class CustomUserManager(BaseUserManager):
"""Custom User Manager overridden from BaseUserManager for CustomUser"""
def _create_user(self, email, password=None... | 471 | 0 | 54 |
0ec5f780bd00d1bb32c388da1e6b8f06ae969ace | 30,621 | py | Python | train_valid.py | qbhan/pathembed | c21823529840593bf606e10696f5879e5adb51b2 | [
"MIT"
] | 1 | 2021-10-13T05:01:22.000Z | 2021-10-13T05:01:22.000Z | train_valid.py | qbhan/pathembed | c21823529840593bf606e10696f5879e5adb51b2 | [
"MIT"
] | null | null | null | train_valid.py | qbhan/pathembed | c21823529840593bf606e10696f5879e5adb51b2 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
import torchvision.utils
import torch.optim as optim
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
# for mixed precision
import torch.nn.utils as torch_util... | 45.297337 | 269 | 0.616048 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
import torchvision.utils
import torch.optim as optim
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
# for mixed precision
import torch.nn.utils as torch_util... | 27,537 | 0 | 69 |
d35989135b0bef0d1ac8815fe7e35507a50d08b4 | 132 | py | Python | examples/tenant_tutorial/tenant_tutorial/urls_public.py | pvandegeer/django-tenant-schemas | 20c72782cee51a33fd5c56a0af7b2c653c1b6770 | [
"MIT"
] | 1,101 | 2015-01-01T23:36:37.000Z | 2022-03-29T18:11:25.000Z | examples/tenant_tutorial/tenant_tutorial/urls_public.py | pvandegeer/django-tenant-schemas | 20c72782cee51a33fd5c56a0af7b2c653c1b6770 | [
"MIT"
] | 429 | 2015-01-01T23:38:43.000Z | 2022-03-28T08:43:54.000Z | examples/tenant_tutorial/tenant_tutorial/urls_public.py | pvandegeer/django-tenant-schemas | 20c72782cee51a33fd5c56a0af7b2c653c1b6770 | [
"MIT"
] | 429 | 2015-01-01T23:29:17.000Z | 2022-03-14T20:18:55.000Z | from django.conf.urls import url
from tenant_tutorial.views import HomeView
urlpatterns = [
url(r'^$', HomeView.as_view()),
]
| 16.5 | 42 | 0.719697 | from django.conf.urls import url
from tenant_tutorial.views import HomeView
urlpatterns = [
url(r'^$', HomeView.as_view()),
]
| 0 | 0 | 0 |
ae3a0ae1a47c4b69b34bdf7d2eaeae6277915332 | 643 | py | Python | people/views.py | JimInCO/bishopric_tools | 6d7ddee52eb1f5884b051d9cb2eab9c241663423 | [
"MIT"
] | null | null | null | people/views.py | JimInCO/bishopric_tools | 6d7ddee52eb1f5884b051d9cb2eab9c241663423 | [
"MIT"
] | 2 | 2020-03-09T04:49:55.000Z | 2020-03-10T04:08:16.000Z | people/views.py | JimInCO/bishopric_tools | 6d7ddee52eb1f5884b051d9cb2eab9c241663423 | [
"MIT"
] | null | null | null | from django.views.generic import ListView, CreateView, DetailView
from events.models import Talk
from . import forms
from . import models
| 23.814815 | 81 | 0.709176 | from django.views.generic import ListView, CreateView, DetailView
from events.models import Talk
from . import forms
from . import models
class MemberDetail(DetailView):
model = models.Member
slug_field = "pk"
slug_url_kwarg = "pk"
def get_context_data(self, **kwargs):
ctx = super().get_cont... | 166 | 266 | 69 |
cc1e1ca11436570f3c50cedfc283e510b9340d39 | 5,702 | py | Python | cogs/funs.py | SpyRisk/EveDj | 2f0bd8dd54f5da8e3c072961dbf9f34352e7a5d5 | [
"MIT"
] | null | null | null | cogs/funs.py | SpyRisk/EveDj | 2f0bd8dd54f5da8e3c072961dbf9f34352e7a5d5 | [
"MIT"
] | null | null | null | cogs/funs.py | SpyRisk/EveDj | 2f0bd8dd54f5da8e3c072961dbf9f34352e7a5d5 | [
"MIT"
] | null | null | null | from discord.ext import commands
from random import choice, shuffle
import aiohttp
import asyncio
import discord
import urllib.request, json
import random
import requests
class Funs:
"""Commandes funs."""
@commands.command()
async def avatar(self, ctx, user : discord.Member):
"""... | 42.87218 | 323 | 0.590495 | from discord.ext import commands
from random import choice, shuffle
import aiohttp
import asyncio
import discord
import urllib.request, json
import random
import requests
class Funs:
"""Commandes funs."""
def __init__(self, bot):
self.bot = bot
@commands.command()
async de... | 49 | 0 | 53 |
5f6ab16294339aea5e6325296ab3b6d7a03e0b9f | 230 | py | Python | tests/models.py | Apkawa/django-modeltranslation-rosetta | 568354ceee201f891e1f9f6d1f5987dbdfa8f84a | [
"MIT"
] | null | null | null | tests/models.py | Apkawa/django-modeltranslation-rosetta | 568354ceee201f891e1f9f6d1f5987dbdfa8f84a | [
"MIT"
] | 14 | 2020-01-06T16:18:37.000Z | 2022-01-20T19:40:56.000Z | tests/models.py | Apkawa/django-modeltranslation-rosetta | 568354ceee201f891e1f9f6d1f5987dbdfa8f84a | [
"MIT"
] | null | null | null | from django.db import models
| 23 | 66 | 0.717391 | from django.db import models
class Article(models.Model):
title = models.CharField(verbose_name='Title', max_length=100)
body = models.TextField(verbose_name='Body')
def __unicode__(self):
return self.title
| 27 | 150 | 23 |
7f2c3b138b5ad1b508898a36bd80800d2e2f4cad | 4,909 | py | Python | ctwingest/marker_table.py | henrygong/ctwingest | 1eafea4e4faad62de2473cb77857d24c3d9c6e77 | [
"MIT"
] | null | null | null | ctwingest/marker_table.py | henrygong/ctwingest | 1eafea4e4faad62de2473cb77857d24c3d9c6e77 | [
"MIT"
] | null | null | null | ctwingest/marker_table.py | henrygong/ctwingest | 1eafea4e4faad62de2473cb77857d24c3d9c6e77 | [
"MIT"
] | null | null | null | """
Create a Marker table from an AnnData Object.
"""
from statsmodels.stats.proportion import proportions_ztest
from scipy.stats import ttest_ind
import pandas as pd
import numpy as np
from ctwingest.scanpyapi import proportion_expressed_cluster, centroids, get_expression, std_gt_0_genes
def scale_centroids(centers,... | 43.061404 | 120 | 0.681605 | """
Create a Marker table from an AnnData Object.
"""
from statsmodels.stats.proportion import proportions_ztest
from scipy.stats import ttest_ind
import pandas as pd
import numpy as np
from ctwingest.scanpyapi import proportion_expressed_cluster, centroids, get_expression, std_gt_0_genes
def scale_centroids(centers,... | 0 | 0 | 0 |
c31e4d77fa90c2a95e1a0a532f837cf00973ea85 | 5,235 | py | Python | Agent/dqn.py | dacozai/QuantumDeepAdvantage | 6ca2388141906e2782d29b60740db27925ee557f | [
"Apache-2.0"
] | 3 | 2019-11-20T07:51:28.000Z | 2021-02-02T08:34:52.000Z | Agent/dqn.py | dacozai/QuantumDeepAdvantage | 6ca2388141906e2782d29b60740db27925ee557f | [
"Apache-2.0"
] | null | null | null | Agent/dqn.py | dacozai/QuantumDeepAdvantage | 6ca2388141906e2782d29b60740db27925ee557f | [
"Apache-2.0"
] | 1 | 2019-12-31T04:01:18.000Z | 2019-12-31T04:01:18.000Z | #################################################################
# Copyright (C) #
# 2019 Qiskit Team #
# Permission given to modify the code as long as you keep this #
# declaration at the top ... | 32.515528 | 112 | 0.640306 | #################################################################
# Copyright (C) #
# 2019 Qiskit Team #
# Permission given to modify the code as long as you keep this #
# declaration at the top ... | 4,088 | -5 | 278 |
3fa893ae3b5d7fc4a34a49eff4fe696c69c68d19 | 12,818 | py | Python | tests/networks_test.py | micbia/SegU-Net | 69c3e3596d32d93b62d3636317e1dbf531f5862e | [
"MIT"
] | 9 | 2020-05-13T22:45:43.000Z | 2022-02-10T10:13:21.000Z | tests/networks_test.py | micbia/SegU-Net | 69c3e3596d32d93b62d3636317e1dbf531f5862e | [
"MIT"
] | null | null | null | tests/networks_test.py | micbia/SegU-Net | 69c3e3596d32d93b62d3636317e1dbf531f5862e | [
"MIT"
] | null | null | null | import numpy as np, time
from keras.models import Model, load_model
from keras.layers import Input, BatchNormalization, Activation, Dropout, concatenate
from keras.layers.convolutional import Conv2D, Conv2DTranspose, Conv3D, Conv3DTranspose
from keras.layers.pooling import MaxPooling2D, GlobalMaxPool2D, MaxPooling3D
f... | 58 | 181 | 0.599001 | import numpy as np, time
from keras.models import Model, load_model
from keras.layers import Input, BatchNormalization, Activation, Dropout, concatenate
from keras.layers.convolutional import Conv2D, Conv2DTranspose, Conv3D, Conv3DTranspose
from keras.layers.pooling import MaxPooling2D, GlobalMaxPool2D, MaxPooling3D
f... | 12,398 | 0 | 23 |
ed7a1c4be9927b9f24bf9212440d3f9502a6b548 | 746 | py | Python | account/admin.py | PrestonMonteWest/comp-mart | e7699f3c4ac1d77c447cd9300fb9912f4840d2a9 | [
"Apache-2.0"
] | 1 | 2018-04-09T02:06:30.000Z | 2018-04-09T02:06:30.000Z | account/admin.py | PrestonMonteWest/compmart | e7699f3c4ac1d77c447cd9300fb9912f4840d2a9 | [
"Apache-2.0"
] | 1 | 2018-07-04T21:08:58.000Z | 2018-07-09T02:34:50.000Z | account/admin.py | PrestonMonteWest/compmart | e7699f3c4ac1d77c447cd9300fb9912f4840d2a9 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from . import models
admin.site.register(models.Address, AddressAdmin)
admin.site.register(models.CreditCard, CreditCardAdmin)
| 39.263158 | 83 | 0.698391 | from django.contrib import admin
from . import models
class AddressAdmin(admin.ModelAdmin):
list_display = ('user', 'street', 'city', 'state', 'zip_code')
raw_id_fields = ('user',)
search_fields = ('street', 'city', 'state', 'zip_code')
fields = ('user', 'street', 'city', 'state', 'zip_code')
class Cr... | 0 | 539 | 46 |
71a22cab3a5f46c536fa8e2e24f0611fcff253c2 | 1,091 | py | Python | PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/base_instance.py | frederica07/Dragon_Programming_Process | c0dff2e20c1be6db5adc6f9977efae8f7f888ef5 | [
"BSD-2-Clause"
] | null | null | null | PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/base_instance.py | frederica07/Dragon_Programming_Process | c0dff2e20c1be6db5adc6f9977efae8f7f888ef5 | [
"BSD-2-Clause"
] | null | null | null | PyOpenGL-3.0.2/OpenGL/raw/GL/ARB/base_instance.py | frederica07/Dragon_Programming_Process | c0dff2e20c1be6db5adc6f9977efae8f7f888ef5 | [
"BSD-2-Clause"
] | null | null | null | '''Autogenerated by get_gl_extensions script, do not edit!'''
from OpenGL import platform as _p, constants as _cs, arrays
from OpenGL.GL import glget
import ctypes
EXTENSION_NAME = 'GL_ARB_base_instance'
@_f
@_p.types(None,_cs.GLenum,_cs.GLint,_cs.GLsizei,_cs.GLsizei,_cs.GLuint)
@_f
@_p.types(None,_cs.GLenum,_cs.GLsiz... | 45.458333 | 119 | 0.810266 | '''Autogenerated by get_gl_extensions script, do not edit!'''
from OpenGL import platform as _p, constants as _cs, arrays
from OpenGL.GL import glget
import ctypes
EXTENSION_NAME = 'GL_ARB_base_instance'
def _f( function ):
return _p.createFunction( function,_p.GL,'GL_ARB_base_instance',False)
@_f
@_p.types(None,_... | 316 | 0 | 88 |
517e237ee7721179f23df9b8e1d8c509af07f2d3 | 4,046 | py | Python | kits.py | gajanlee/UCAS-kits | 75c985a8ea1e69bfe401c9b0555a7d526d4cc71e | [
"MIT"
] | null | null | null | kits.py | gajanlee/UCAS-kits | 75c985a8ea1e69bfe401c9b0555a7d526d4cc71e | [
"MIT"
] | null | null | null | kits.py | gajanlee/UCAS-kits | 75c985a8ea1e69bfe401c9b0555a7d526d4cc71e | [
"MIT"
] | null | null | null | import configparser
import requests
import time
import numpy as np
from PIL import Image
from io import BytesIO
import configparser
from code import CodeRecognizer
from utils import *
if __name__ == "__main__":
cf = configparser.ConfigParser()
cf.read("info.conf")
while process_orders(cf):
t... | 32.629032 | 171 | 0.561789 | import configparser
import requests
import time
import numpy as np
from PIL import Image
from io import BytesIO
import configparser
from code import CodeRecognizer
from utils import *
class UCAS:
def __init__(self, user):
self.__session = requests.Session()
self.__user = user
# self.login... | 2,894 | 891 | 69 |
a353593d14c77c62907e98f74374cf5b3f4d0eb0 | 635 | py | Python | SUBS/009_SUBS.py | domenicosolazzo/Rosalind | 288fa79aa715de6632413ddaa0e2527a1d7ee265 | [
"MIT"
] | null | null | null | SUBS/009_SUBS.py | domenicosolazzo/Rosalind | 288fa79aa715de6632413ddaa0e2527a1d7ee265 | [
"MIT"
] | null | null | null | SUBS/009_SUBS.py | domenicosolazzo/Rosalind | 288fa79aa715de6632413ddaa0e2527a1d7ee265 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Finding a Motif in DNA
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
if __name__ == "__main__":
main()
| 24.423077 | 57 | 0.620472 | #!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Finding a Motif in DNA
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
def main():
with open('data/rosalind_subs.txt') as input_data:
s,t = input_data.readlines()
s = s.rstrip()
t ... | 382 | 0 | 22 |
d1bd912e0d30e4645b27be8b0a5b658a2ec85d3b | 32 | py | Python | library/python/dd/data_reader/__init__.py | darwinbeing/deepdriving-tensorflow | 036a83871f3515b2c041bc3cd5e845f6d8f7b3b7 | [
"MIT"
] | 1 | 2018-12-13T14:00:03.000Z | 2018-12-13T14:00:03.000Z | library/python/dd/data_reader/__init__.py | darwinbeing/deepdriving-tensorflow | 036a83871f3515b2c041bc3cd5e845f6d8f7b3b7 | [
"MIT"
] | null | null | null | library/python/dd/data_reader/__init__.py | darwinbeing/deepdriving-tensorflow | 036a83871f3515b2c041bc3cd5e845f6d8f7b3b7 | [
"MIT"
] | null | null | null | from .wrapper import CDataReader | 32 | 32 | 0.875 | from .wrapper import CDataReader | 0 | 0 | 0 |
dde944103b320bbb0108dbd91b7db350f5d0fa72 | 1,339 | py | Python | website/baseapp/models/order.py | raviarrow88/Django-ecommerce | 9fd0340e4d2f1ff024092ba574702cd9dbfd2162 | [
"MIT"
] | null | null | null | website/baseapp/models/order.py | raviarrow88/Django-ecommerce | 9fd0340e4d2f1ff024092ba574702cd9dbfd2162 | [
"MIT"
] | 9 | 2020-06-06T01:49:00.000Z | 2022-03-12T00:30:35.000Z | website/baseapp/models/order.py | raviarrow88/Django-ecommerce | 9fd0340e4d2f1ff024092ba574702cd9dbfd2162 | [
"MIT"
] | null | null | null | from django.db import models
from .timestamp import TimeStamp
# from .user import UserProfile
from customer.models import UserProfile
from .item import Item
| 30.431818 | 87 | 0.678865 | from django.db import models
from .timestamp import TimeStamp
# from .user import UserProfile
from customer.models import UserProfile
from .item import Item
class Order(TimeStamp):
user =models.ForeignKey(UserProfile,on_delete=models.SET_NULL,null=True,blank=True)
completed = models.BooleanField(default=False... | 696 | 462 | 23 |
f2f6448df1215a4699a0b8cfe080518be476866d | 2,243 | py | Python | tests/utils.py | codefever/dremel.py | 42d44a843e1ba5cefd32c14490a124f85f4c1c4e | [
"MIT"
] | 2 | 2021-04-09T12:22:50.000Z | 2022-03-27T14:04:31.000Z | tests/utils.py | codefever/dremel.py | 42d44a843e1ba5cefd32c14490a124f85f4c1c4e | [
"MIT"
] | null | null | null | tests/utils.py | codefever/dremel.py | 42d44a843e1ba5cefd32c14490a124f85f4c1c4e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import random
from google.protobuf import text_format
from google.protobuf.descriptor import Descriptor, FieldDescriptor
from .document_pb2 import Document
from dremel.consts import *
from dremel.simple import create_simple_storage
| 30.310811 | 93 | 0.598306 | #!/usr/bin/env python
import os
import random
from google.protobuf import text_format
from google.protobuf.descriptor import Descriptor, FieldDescriptor
from .document_pb2 import Document
from dremel.consts import *
from dremel.simple import create_simple_storage
def read_docs():
sample_dir = os.path.join(os.pa... | 1,860 | 0 | 115 |
f957582cf4088d5cebfe722f507924fba380cb9d | 427 | py | Python | simple-examples/07_other-examples/dict.py | wiltonpaulo/python-fullcourse | 5befe60221a2e6f8a567a11e2f449245c11b3447 | [
"MIT"
] | null | null | null | simple-examples/07_other-examples/dict.py | wiltonpaulo/python-fullcourse | 5befe60221a2e6f8a567a11e2f449245c11b3447 | [
"MIT"
] | null | null | null | simple-examples/07_other-examples/dict.py | wiltonpaulo/python-fullcourse | 5befe60221a2e6f8a567a11e2f449245c11b3447 | [
"MIT"
] | null | null | null | print("Way to transform two lists into one dict")
purchases = ["rice", "beans", "pasta"]
prices = ["2.00", "3.80", "4.90"]
new_list = {}
# for x in range(len(purchases)):
# new_list[purchases[x]] = prices[x]
# for id, item in enumerate(compras):
# new_list[purchases[id]] = prices[id]
new_list = {item: prices... | 22.473684 | 70 | 0.662763 | print("Way to transform two lists into one dict")
purchases = ["rice", "beans", "pasta"]
prices = ["2.00", "3.80", "4.90"]
new_list = {}
# for x in range(len(purchases)):
# new_list[purchases[x]] = prices[x]
# for id, item in enumerate(compras):
# new_list[purchases[id]] = prices[id]
new_list = {item: prices... | 0 | 0 | 0 |
cccd40a89b5d3ec8ef38be6a8a9d8358e4b4a7ee | 4,907 | py | Python | Modules/visualization.py | EVA4-RS-Group/Phase2 | 7c551e3894979cc425dd51baeddbfa5a51b7878d | [
"Apache-2.0"
] | null | null | null | Modules/visualization.py | EVA4-RS-Group/Phase2 | 7c551e3894979cc425dd51baeddbfa5a51b7878d | [
"Apache-2.0"
] | null | null | null | Modules/visualization.py | EVA4-RS-Group/Phase2 | 7c551e3894979cc425dd51baeddbfa5a51b7878d | [
"Apache-2.0"
] | 2 | 2020-08-26T02:33:33.000Z | 2021-03-16T10:51:40.000Z | '''Plotting Utility.
Grad-CAM implementation in Pytorch
Reference:
[1] xyz
[2] xyz
'''
import matplotlib.pyplot as plt
import numpy as np
import torch
def denormalize(tensor, mean, std):
"""Denormalize the image for given mean and standard deviation.
Args:
tensor: Image tensor
mean: Dataset... | 32.282895 | 113 | 0.592011 | '''Plotting Utility.
Grad-CAM implementation in Pytorch
Reference:
[1] xyz
[2] xyz
'''
import matplotlib.pyplot as plt
import numpy as np
import torch
def denormalize(tensor, mean, std):
"""Denormalize the image for given mean and standard deviation.
Args:
tensor: Image tensor
mean: Dataset... | 3,694 | 0 | 92 |
0c35895d716286e0c3bf45a9d0405b8ccf2b63fd | 1,935 | py | Python | deploy_java/DockerJava/javaTopo_image.py | vmeta42/neodata | 00a42ab8d1adbb14f09bc4cc04720b0067241985 | [
"Apache-2.0"
] | null | null | null | deploy_java/DockerJava/javaTopo_image.py | vmeta42/neodata | 00a42ab8d1adbb14f09bc4cc04720b0067241985 | [
"Apache-2.0"
] | null | null | null | deploy_java/DockerJava/javaTopo_image.py | vmeta42/neodata | 00a42ab8d1adbb14f09bc4cc04720b0067241985 | [
"Apache-2.0"
] | 1 | 2022-03-16T08:31:28.000Z | 2022-03-16T08:31:28.000Z | # coding:utf-8
import os
import subprocess
if __name__ == "__main__":
j = JavaImage(codeDir=os.path.abspath(os.curdir), shell_file="javapack.sh",
imageTag="harbor.dev.21vianet.com/cmdb/cmdb_javatopo:latest")
j.begin()
# print()
| 33.947368 | 115 | 0.61137 | # coding:utf-8
import os
import subprocess
class JavaImage():
def __init__(self, *args, **kwargs):
self.codeDir = kwargs["codeDir"]
self.mvnScript = kwargs["shell_file"]
self.dockerImage = kwargs["imageTag"]
def mvn_command(self, capture_output=True):
self.out = subprocess.ru... | 1,520 | -3 | 157 |
0472b3c394edd47e2e182c61417a754346641796 | 979 | py | Python | uploads/core/forms.py | lindsay777/ITRI_hospital_UI | ee82b44e7e0edd28580a4fbb37c277ff85da8192 | [
"MIT"
] | null | null | null | uploads/core/forms.py | lindsay777/ITRI_hospital_UI | ee82b44e7e0edd28580a4fbb37c277ff85da8192 | [
"MIT"
] | 1 | 2018-08-12T08:30:54.000Z | 2018-08-12T08:30:54.000Z | uploads/core/forms.py | lindsay777/ITRI_hospital_UI | ee82b44e7e0edd28580a4fbb37c277ff85da8192 | [
"MIT"
] | null | null | null | from django import forms
from uploads.core.models import Document
#from uploads.core.models import File
# 創造一個依照model的form，會繼承欄位description document
# class FileForm(forms.ModelForm):
# class Meta:
# model = File
# fields = ('filename',)
# file = forms.FileField()
# pid = forms.CharField(... | 29.666667 | 47 | 0.657814 | from django import forms
from uploads.core.models import Document
#from uploads.core.models import File
# 創造一個依照model的form，會繼承欄位description document
class DocumentForm(forms.ModelForm):
class Meta:
model = Document
fields = ('description', 'document', )
class nameForm(forms.Form):
rename=form... | 0 | 138 | 45 |
cd9cb66122591a5591685af112fa2e4503ad0c79 | 5,119 | py | Python | gene_finding/genes_ppi_enrichr.py | ddhostallero/cxplain | c17a119faa384ffd2ca01529d470df2bd4b16813 | [
"MIT"
] | null | null | null | gene_finding/genes_ppi_enrichr.py | ddhostallero/cxplain | c17a119faa384ffd2ca01529d470df2bd4b16813 | [
"MIT"
] | null | null | null | gene_finding/genes_ppi_enrichr.py | ddhostallero/cxplain | c17a119faa384ffd2ca01529d470df2bd4b16813 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pathway_file = '../../drp-data/pathways/9606.enrichr_pathway.edge'
pathway = pd.read_csv(pathway_file, sep='\t', header=None)
print("pathways:", pathway[0].nunique())
print("pathway genes:", pathway[1].nunique())
gsc_filtered = '../../KnowEng_GSC... | 35.548611 | 128 | 0.676109 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pathway_file = '../../drp-data/pathways/9606.enrichr_pathway.edge'
pathway = pd.read_csv(pathway_file, sep='\t', header=None)
print("pathways:", pathway[0].nunique())
print("pathway genes:", pathway[1].nunique())
gsc_filtered = '../../KnowEng_GSC... | 0 | 0 | 0 |
d39c4f37b45ab8280f00f4481b2167d271367281 | 215 | py | Python | libDep.py | TheSinOfSloth/Remote_switchOff | 7ae27a712a5702536bc51257374c7649375d6d92 | [
"MIT"
] | 1 | 2020-04-06T14:13:57.000Z | 2020-04-06T14:13:57.000Z | libDep.py | 1hef001/Automatic_switchOff | 7ae27a712a5702536bc51257374c7649375d6d92 | [
"MIT"
] | null | null | null | libDep.py | 1hef001/Automatic_switchOff | 7ae27a712a5702536bc51257374c7649375d6d92 | [
"MIT"
] | null | null | null | import os
import platform
if(platform.system() == 'Windows'):
FILENAME = 'terminateFile.bat'
elif(platform.system() == 'Linux'):
FILENAME = 'idle.sh'
TIME = 900
PATH = os.getcwd()
# print(platform.system()) | 21.5 | 35 | 0.669767 | import os
import platform
if(platform.system() == 'Windows'):
FILENAME = 'terminateFile.bat'
elif(platform.system() == 'Linux'):
FILENAME = 'idle.sh'
TIME = 900
PATH = os.getcwd()
# print(platform.system()) | 0 | 0 | 0 |
0b8766629c87c39c0ef02b967e9144a3b7d6946f | 1,050 | py | Python | deeptrack/benchmarks/test_fluorescence.py | HarshithBachimanchi/DeepTrack-2.0 | 5983f5224b75aef4ce3932662bd15723f13841a0 | [
"MIT"
] | 1 | 2022-03-18T17:25:18.000Z | 2022-03-18T17:25:18.000Z | deeptrack/benchmarks/test_fluorescence.py | HarshithBachimanchi/DeepTrack-2.0 | 5983f5224b75aef4ce3932662bd15723f13841a0 | [
"MIT"
] | null | null | null | deeptrack/benchmarks/test_fluorescence.py | HarshithBachimanchi/DeepTrack-2.0 | 5983f5224b75aef4ce3932662bd15723f13841a0 | [
"MIT"
] | null | null | null | import sys
import numpy as np
import itertools
import deeptrack as dt
import pytest
u = dt.units
@pytest.mark.parametrize(
"size,gpu",
[
*itertools.product(
(64, 256, 512),
[True, False],
)
],
)
| 21.875 | 81 | 0.625714 | import sys
import numpy as np
import itertools
import deeptrack as dt
import pytest
u = dt.units
def create_pipeline(output_region=(0, 0, 128, 128), num_particles=1):
optics = dt.Fluorescence(output_region=output_region)
mie = dt.Sphere(
radius=2e-6,
refractive_index=1.45,
z=10,
... | 753 | 0 | 45 |
5d71ad984bf074d92f237d6404d33add30a5bd3f | 523 | py | Python | scripts/euca2ools.py | nii-clouds/Literate-Computing-Basics | 9bc03edafd503c2215f0e9028389e3ce31a418ec | [
"CC-BY-4.0"
] | 13 | 2016-07-24T07:03:50.000Z | 2021-07-26T07:50:56.000Z | scripts/euca2ools.py | nii-clouds/Literate-Computing-Basics | 9bc03edafd503c2215f0e9028389e3ce31a418ec | [
"CC-BY-4.0"
] | 1 | 2016-07-14T03:06:01.000Z | 2016-07-14T03:06:01.000Z | scripts/euca2ools.py | nii-clouds/Literate-Computing-Basics | 9bc03edafd503c2215f0e9028389e3ce31a418ec | [
"CC-BY-4.0"
] | 5 | 2017-01-10T16:15:01.000Z | 2019-08-29T06:21:12.000Z | # helper functions for Euca2ools
import subprocess
import os
import time
| 29.055556 | 60 | 0.544933 | # helper functions for Euca2ools
import subprocess
import os
import time
def run_euca2ools(envfile, cmd):
env = os.environ.copy()
with open(os.path.expanduser(envfile), 'r') as f:
for l in f.readlines():
if l.startswith('export '):
l = l[6:].strip()
name, va... | 426 | 0 | 23 |
eb75ac8fdab6ae6405b604f70c5f5ada8b3bf5a7 | 2,186 | py | Python | Psc2/songs/claudius_irae.py | psc-g/Psc2 | 6676fc67263c9268ff65784d583cb838cfd42c28 | [
"Apache-2.0"
] | 24 | 2018-10-09T22:36:43.000Z | 2021-10-15T16:34:42.000Z | Psc2/songs/claudius_irae.py | psc-g/Psc2 | 6676fc67263c9268ff65784d583cb838cfd42c28 | [
"Apache-2.0"
] | 2 | 2018-12-07T20:01:13.000Z | 2018-12-11T15:19:23.000Z | Psc2/songs/claudius_irae.py | psc-g/Psc2 | 6676fc67263c9268ff65784d583cb838cfd42c28 | [
"Apache-2.0"
] | 5 | 2018-12-07T15:37:57.000Z | 2020-03-28T11:59:40.000Z | """ClaudiusIrae song logic."""
import OSC
from Psc2.songs import song
from Psc2.modes import bass_doubler
from Psc2.modes import looper
class ClaudiusIrae(song.Song):
"""This defines the logic for ClaudiusIrae.
For most of the song it is in bass-doubling mode, except for the solo section
where the bass is aut... | 34.15625 | 79 | 0.588747 | """ClaudiusIrae song logic."""
import OSC
from Psc2.songs import song
from Psc2.modes import bass_doubler
from Psc2.modes import looper
class ClaudiusIrae(song.Song):
"""This defines the logic for ClaudiusIrae.
For most of the song it is in bass-doubling mode, except for the solo section
where the bass is aut... | 393 | 0 | 50 |
a3642725c5e6f2e8169b1cd241aec6bc6bae5734 | 3,035 | py | Python | exercises/demo.py | Zaph-x/DistributedExercisesAAU | 40ca2716e252aca46f840405a89fac3ffd37f122 | [
"MIT"
] | null | null | null | exercises/demo.py | Zaph-x/DistributedExercisesAAU | 40ca2716e252aca46f840405a89fac3ffd37f122 | [
"MIT"
] | null | null | null | exercises/demo.py | Zaph-x/DistributedExercisesAAU | 40ca2716e252aca46f840405a89fac3ffd37f122 | [
"MIT"
] | null | null | null | import random
from emulators.Device import Device
from emulators.Medium import Medium
from emulators.MessageStub import MessageStub
# We extend the MessageStub here for the message-types we wish to communicate
# the constructor-function takes the source and destination as arguments. These are used for "routing"... | 43.357143 | 115 | 0.639868 | import random
from emulators.Device import Device
from emulators.Medium import Medium
from emulators.MessageStub import MessageStub
# We extend the MessageStub here for the message-types we wish to communicate
class PingMessage(MessageStub):
# the constructor-function takes the source and destination as argumen... | 2,083 | 12 | 174 |
e41a1c4a736dca7523e7626d2638116f83876bd8 | 19,910 | py | Python | bike/refactor/test_renameMethod.py | debiancn/bicyclerepair | dd054e802d6d8ad80baeccee0396da68144f2a26 | [
"ICU"
] | 2 | 2020-05-29T06:31:53.000Z | 2020-12-19T21:49:25.000Z | bike/refactor/test_renameMethod.py | debiancn/bicyclerepair | dd054e802d6d8ad80baeccee0396da68144f2a26 | [
"ICU"
] | null | null | null | bike/refactor/test_renameMethod.py | debiancn/bicyclerepair | dd054e802d6d8ad80baeccee0396da68144f2a26 | [
"ICU"
] | null | null | null | #!/usr/bin/env python
import setpath
import unittest
from rename import rename
import compiler
from bike import testdata
from bike.testutils import*
from bike.transformer.save import save
# Generic tests. These tests are designed to be run in the context of a ui
# and in a package hierarchy structure
... | 28.002813 | 140 | 0.547212 | #!/usr/bin/env python
import setpath
import unittest
from rename import rename
import compiler
from bike import testdata
from bike.testutils import*
from bike.transformer.save import save
class RenameMethodTests:
def test_renamesTheMethod(self):
srcBefore=trimLines("""
class TheClass:
... | 17,269 | 528 | 1,399 |
d37465f5ca29b0c5a0c74f20169fdda80f35c186 | 718 | py | Python | care/users/api/serializers/lsg.py | CoronaSafeUP/care | 22a658bdefa0e9af3727416a5c31ff0aaa5af873 | [
"MIT"
] | null | null | null | care/users/api/serializers/lsg.py | CoronaSafeUP/care | 22a658bdefa0e9af3727416a5c31ff0aaa5af873 | [
"MIT"
] | null | null | null | care/users/api/serializers/lsg.py | CoronaSafeUP/care | 22a658bdefa0e9af3727416a5c31ff0aaa5af873 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from care.users.models import District, LocalBody, State, Ward, Block
| 20.514286 | 69 | 0.68663 | from rest_framework import serializers
from care.users.models import District, LocalBody, State, Ward, Block
class StateSerializer(serializers.ModelSerializer):
class Meta:
model = State
fields = "__all__"
class DistrictSerializer(serializers.ModelSerializer):
class Meta:
model = Di... | 0 | 487 | 115 |
fc39730a027f1990317acfd6696c41b7fecb8c57 | 2,196 | py | Python | Combined Data/duplicate_addresses.py | alfredholmes/UK-Company-Data | 69f87980309fbd9ef3434770a8a87cd4b600e6cb | [
"MIT"
] | 1 | 2022-01-27T22:29:19.000Z | 2022-01-27T22:29:19.000Z | Combined Data/duplicate_addresses.py | alfredholmes/UK-Company-Data | 69f87980309fbd9ef3434770a8a87cd4b600e6cb | [
"MIT"
] | null | null | null | Combined Data/duplicate_addresses.py | alfredholmes/UK-Company-Data | 69f87980309fbd9ef3434770a8a87cd4b600e6cb | [
"MIT"
] | null | null | null | import ijson, csv, json, datetime
import sys
sys.path.append('../lib')
from accounts.company import Company
if __name__ == '__main__':
main() | 29.28 | 249 | 0.638434 | import ijson, csv, json, datetime
import sys
sys.path.append('../lib')
from accounts.company import Company
def main():
enterprises = {}
print('loading enterprises')
with open('combined_data.json', 'r') as f:
for i, c in enumerate(ijson.items(f, 'item')):
if i % 10000 == 0:
print(i)
address = frozens... | 2,024 | 0 | 23 |
3a6a9407591ebbd3493d14eb399531f2d9d4dcaa | 5,549 | py | Python | dataLoader/batch.py | JRC1995/SocialMediaNER | 236b22ded48f64516ebf0577c3b9d9d907db84e0 | [
"MIT"
] | null | null | null | dataLoader/batch.py | JRC1995/SocialMediaNER | 236b22ded48f64516ebf0577c3b9d9d907db84e0 | [
"MIT"
] | null | null | null | dataLoader/batch.py | JRC1995/SocialMediaNER | 236b22ded48f64516ebf0577c3b9d9d907db84e0 | [
"MIT"
] | null | null | null | import numpy as np
import random
import re
import copy
| 37.493243 | 260 | 0.609299 | import numpy as np
import random
import re
import copy
def batcher(sample_tuples,
pad_types,
batch_size=32, bucket_size_factor=5,
sort_by_idx=0, sort=True, shuffle=True,
SEED=None):
# sample_tuples = List of different types of lists of samples
# Example: [train... | 5,470 | 0 | 23 |
81559963f29d21ffc38158ededa6ad16e94ccb86 | 96 | py | Python | yamldirs/__init__.py | datakortet/yamldirs | 529f20a5ff3da46448828fc9c7c80ca417bb6e91 | [
"MIT"
] | 13 | 2017-10-23T12:39:20.000Z | 2022-03-04T16:58:44.000Z | yamldirs/__init__.py | datakortet/yamldirs | 529f20a5ff3da46448828fc9c7c80ca417bb6e91 | [
"MIT"
] | 5 | 2017-10-24T12:20:13.000Z | 2017-10-25T13:31:04.000Z | yamldirs/__init__.py | datakortet/yamldirs | 529f20a5ff3da46448828fc9c7c80ca417bb6e91 | [
"MIT"
] | 3 | 2017-10-24T12:20:39.000Z | 2021-12-22T13:19:44.000Z | # -*- coding: utf-8 -*-
__version__ = '1.1.15'
from .filemaker import create_files # noqa
| 16 | 46 | 0.625 | # -*- coding: utf-8 -*-
__version__ = '1.1.15'
from .filemaker import create_files # noqa
| 0 | 0 | 0 |
da0919706a2516295cd9fc9fb8d46007f77a23bf | 2,468 | py | Python | sscutils/metadata/bedrock/conversion.py | papsebestyen/sscutils | dff8b62ab31c9dfe1494264f9319e287945762bc | [
"MIT"
] | null | null | null | sscutils/metadata/bedrock/conversion.py | papsebestyen/sscutils | dff8b62ab31c9dfe1494264f9319e287945762bc | [
"MIT"
] | 21 | 2021-09-15T15:31:22.000Z | 2022-03-20T17:10:50.000Z | sscutils/metadata/bedrock/conversion.py | papsebestyen/sscutils | dff8b62ab31c9dfe1494264f9319e287945762bc | [
"MIT"
] | 2 | 2021-09-08T14:12:00.000Z | 2021-09-29T10:58:08.000Z | from dataclasses import dataclass
from functools import partial
from typing import Callable, List, Optional
from colassigner.constants import PREFIX_SEP
from ...utils import chainmap
from .artifact_metadata import ArtifactMetadata
from .column import Column
from .feature_types import CompositeFeature, ForeignKey, Pri... | 33.351351 | 74 | 0.673825 | from dataclasses import dataclass
from functools import partial
from typing import Callable, List, Optional
from colassigner.constants import PREFIX_SEP
from ...utils import chainmap
from .artifact_metadata import ArtifactMetadata
from .column import Column
from .feature_types import CompositeFeature, ForeignKey, Pri... | 1,766 | 243 | 22 |
fdda3437a4cf366dbb07a6363fb2a6bbb3f104d3 | 637 | py | Python | jinfo/utils/__init__.py | JBwdn/jinfo | b5933edd3ea3d27f4f7c1e0153e16750de0d1726 | [
"MIT"
] | null | null | null | jinfo/utils/__init__.py | JBwdn/jinfo | b5933edd3ea3d27f4f7c1e0153e16750de0d1726 | [
"MIT"
] | 1 | 2020-12-07T14:07:14.000Z | 2020-12-07T14:07:14.000Z | jinfo/utils/__init__.py | JBwdn/jinfo | b5933edd3ea3d27f4f7c1e0153e16750de0d1726 | [
"MIT"
] | null | null | null | from jinfo.utils.one_hot_dna import one_hot_dna
from jinfo.utils.random_DNASeq import random_DNASeq
from jinfo.utils.DNASeq_from_NCBI import DNASeq_from_NCBI
from jinfo.utils.seq_list_to_fasta import seq_list_to_fasta
from jinfo.utils.seq_list_from_fasta import seq_list_from_fasta
from jinfo.utils.seq_from_fasta import... | 57.909091 | 69 | 0.897959 | from jinfo.utils.one_hot_dna import one_hot_dna
from jinfo.utils.random_DNASeq import random_DNASeq
from jinfo.utils.DNASeq_from_NCBI import DNASeq_from_NCBI
from jinfo.utils.seq_list_to_fasta import seq_list_to_fasta
from jinfo.utils.seq_list_from_fasta import seq_list_from_fasta
from jinfo.utils.seq_from_fasta import... | 0 | 0 | 0 |
3be4143b4fa68543582d6616184d19d293e1fabd | 1,464 | py | Python | examples/command/actions.py | artificially-ai/python-design-patterns | f3b192f204e87f2c3164a854f70e5a2e6fd0707b | [
"Apache-2.0"
] | 1 | 2021-06-28T15:21:15.000Z | 2021-06-28T15:21:15.000Z | examples/command/actions.py | artificially-ai/python-design-patterns | f3b192f204e87f2c3164a854f70e5a2e6fd0707b | [
"Apache-2.0"
] | null | null | null | examples/command/actions.py | artificially-ai/python-design-patterns | f3b192f204e87f2c3164a854f70e5a2e6fd0707b | [
"Apache-2.0"
] | null | null | null | from multiprocessing import Pool
from random import randrange
from absl import logging
from patterns.command.action import Action
from patterns.command.callback.handler import Callback
| 31.826087 | 98 | 0.642077 | from multiprocessing import Pool
from random import randrange
from absl import logging
from patterns.command.action import Action
from patterns.command.callback.handler import Callback
class SwitchOnAction(Action):
def perform(self):
logging.info('Switching on the machine.')
class SwitchOffAction(Act... | 1,069 | 28 | 177 |
e8186f362f3a5c6e2c0bf8ddc167f936786e9755 | 829 | py | Python | com.ppc.Microservices/intelligence/daylight/location_midnight_microservice.py | peoplepower/botlab | 21cc90c558a17b7ef4a42bca247b437d2f968dc0 | [
"Apache-2.0"
] | 16 | 2017-03-31T04:41:51.000Z | 2020-07-15T07:03:06.000Z | com.ppc.Microservices/intelligence/daylight/location_midnight_microservice.py | peoplepower/botlab | 21cc90c558a17b7ef4a42bca247b437d2f968dc0 | [
"Apache-2.0"
] | 4 | 2018-07-03T05:39:36.000Z | 2018-07-06T02:59:32.000Z | com.ppc.Microservices/intelligence/daylight/location_midnight_microservice.py | peoplepower/botlab | 21cc90c558a17b7ef4a42bca247b437d2f968dc0 | [
"Apache-2.0"
] | 8 | 2017-04-01T21:07:59.000Z | 2019-09-18T15:23:37.000Z | '''
Created on February 25, 2019
This file is subject to the terms and conditions defined in the
file 'LICENSE.txt', which is part of this source code package.
@author: David Moss
'''
from intelligence.intelligence import Intelligence
class LocationMidnightMicroservice(Intelligence):
"""
Announce midnight t... | 33.16 | 119 | 0.723764 | '''
Created on February 25, 2019
This file is subject to the terms and conditions defined in the
file 'LICENSE.txt', which is part of this source code package.
@author: David Moss
'''
from intelligence.intelligence import Intelligence
class LocationMidnightMicroservice(Intelligence):
"""
Announce midnight t... | 0 | 0 | 0 |
1cbc07813f54a675480a7ef867561b7d1a5fd88a | 311 | py | Python | 2015/day04/python/part2.py | jmkacz/practice-advent-of-code | c06f474576e91ed0778c8a30a51bad848a602eb6 | [
"MIT"
] | null | null | null | 2015/day04/python/part2.py | jmkacz/practice-advent-of-code | c06f474576e91ed0778c8a30a51bad848a602eb6 | [
"MIT"
] | null | null | null | 2015/day04/python/part2.py | jmkacz/practice-advent-of-code | c06f474576e91ed0778c8a30a51bad848a602eb6 | [
"MIT"
] | null | null | null | import hashlib
from typing import List
| 22.214286 | 46 | 0.572347 | import hashlib
from typing import List
def compute_answer(lines: List[str]) -> int:
result = 1
line = lines[0]
while True:
secret = (line + str(result)).encode()
hash = hashlib.md5(secret).hexdigest()
if hash[0:6] == "000000":
return result
result += 1
| 248 | 0 | 23 |
bc4831896be9b443c435adb7e470a5ed2b0aa1f6 | 9,224 | py | Python | ravenframework/BaseClasses/Assembler.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | ravenframework/BaseClasses/Assembler.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | ravenframework/BaseClasses/Assembler.py | dgarrett622/raven | f36cc108f7500b0e2717df4832b69b801b43960d | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Battelle Energy Alliance, LLC
#
# 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 t... | 50.681319 | 174 | 0.66598 | # Copyright 2017 Battelle Energy Alliance, LLC
#
# 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 t... | 0 | 0 | 0 |
58d602b65cc23b213c43e06ad720d99779ca9444 | 836 | py | Python | meiduo_mall/meiduo_mall/apps/meiduo_admin/serializer/orders.py | 572314705/meiduo_24 | d279719506c536d21141b65eabf92fb3fa2bcff0 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/meiduo_admin/serializer/orders.py | 572314705/meiduo_24 | d279719506c536d21141b65eabf92fb3fa2bcff0 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/meiduo_admin/serializer/orders.py | 572314705/meiduo_24 | d279719506c536d21141b65eabf92fb3fa2bcff0 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from goods.models import SKU
from orders.models import OrderInfo, OrderGoods
class SKUSerializer(serializers.ModelSerializer):
'''SKU'''
class OrderGoodsSerialzier(serializers.ModelSerializer):
"""
订单商品表
"""
sku = SKUSerializer()
class OrderSeri... | 25.333333 | 60 | 0.648325 | from rest_framework import serializers
from goods.models import SKU
from orders.models import OrderInfo, OrderGoods
class SKUSerializer(serializers.ModelSerializer):
'''SKU'''
class Meta:
model = SKU
fields = ('name','default_image')
class OrderGoodsSerialzier(serializers.ModelSerializer):
... | 0 | 250 | 78 |
9489bfa545777ad8ca14dfc0924aa4cbbb07cf88 | 5,776 | py | Python | examples/AllInOne/allinone_ownloop.py | irmen/Pyro3 | 5bd531088d9a11ec83556a0429f18df6cb5cd437 | [
"MIT"
] | 3 | 2018-01-13T20:50:41.000Z | 2020-02-24T13:35:08.000Z | examples/AllInOne/allinone_ownloop.py | irmen/Pyro3 | 5bd531088d9a11ec83556a0429f18df6cb5cd437 | [
"MIT"
] | null | null | null | examples/AllInOne/allinone_ownloop.py | irmen/Pyro3 | 5bd531088d9a11ec83556a0429f18df6cb5cd437 | [
"MIT"
] | 6 | 2015-03-21T20:34:05.000Z | 2021-06-08T04:04:33.000Z | #!/usr/bin/env python
#
# This application creates a Name Server, Event Server,
# Pyro server, and clients, and uses a custom event loop to keep them
# all running in parallel.
# The custom loop runs in its own server thread otherwise we
# can't run client invocations, obviously.
# The main loop calls Pyro objects to s... | 31.911602 | 86 | 0.721434 | #!/usr/bin/env python
#
# This application creates a Name Server, Event Server,
# Pyro server, and clients, and uses a custom event loop to keep them
# all running in parallel.
# The custom loop runs in its own server thread otherwise we
# can't run client invocations, obviously.
# The main loop calls Pyro objects to s... | 4,338 | 59 | 322 |
fd6536b19aafb8bd6cbe2ae5992f2e0633363eb1 | 511 | py | Python | examples/hello_template.py | orest-d/liquer | 7a5b5a69cf673b4a849dd2da3050ccd75081e454 | [
"MIT"
] | 3 | 2019-12-10T10:22:36.000Z | 2019-12-12T16:36:11.000Z | examples/hello_template.py | orest-d/liquer | 7a5b5a69cf673b4a849dd2da3050ccd75081e454 | [
"MIT"
] | null | null | null | examples/hello_template.py | orest-d/liquer | 7a5b5a69cf673b4a849dd2da3050ccd75081e454 | [
"MIT"
] | 2 | 2019-11-14T16:26:52.000Z | 2021-07-26T04:53:54.000Z | # Make it run from the examples directory
import sys
sys.path.append("..")
from liquer import *
@first_command
@command
# with default delimiters
print (evaluate_template("""
Template example [[]]
- $hello$
- $hello/greet$
- $hello/greet-everybody$
"""))
# with custom delimiters
print (evaluate_template("""
Temp... | 15.484848 | 41 | 0.655577 | # Make it run from the examples directory
import sys
sys.path.append("..")
from liquer import *
@first_command
def hello():
return "Hello"
@command
def greet(greeting, who="world"):
return f"{greeting}, {who}!"
# with default delimiters
print (evaluate_template("""
Template example [[]]
- $hello$
- $hello/... | 55 | 0 | 44 |
400dd9d970b186e950943a1ba8bfd942a1d184e9 | 710 | py | Python | testbed.py | TuKo/rl | 6ffc25c164f3160e5b747a1896b7953eada7ff46 | [
"BSD-3-Clause"
] | null | null | null | testbed.py | TuKo/rl | 6ffc25c164f3160e5b747a1896b7953eada7ff46 | [
"BSD-3-Clause"
] | null | null | null | testbed.py | TuKo/rl | 6ffc25c164f3160e5b747a1896b7953eada7ff46 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
| 33.809524 | 67 | 0.569014 | import numpy as np
class Testbed(object):
def __init__(self, agents, steps=1000):
self._agents = agents
self._steps = steps
self._action_history = np.zeros((len(self._agents), steps))
self._reward_history = np.zeros((len(self._agents), steps))
def run(self, env):
for a... | 613 | 1 | 76 |