hexsha stringlengths 40 40 | size int64 2 1.02M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 245 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | 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 4 245 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | 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 4 245 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 40 | 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 2 1.02M | avg_line_length float64 1 958k | max_line_length int64 1 987k | alphanum_fraction float64 0 1 | content_no_comment stringlengths 0 1.01M | is_comment_constant_removed bool 2
classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c33797ae21b5684e8af23125a3d72721bee019a | 1,554 | py | Python | examples/hello_world.py | keredson/tinyweb | 9b4619cef1bf3c1c25c3ec970c13a117e4b49346 | [
"MIT"
] | 138 | 2018-01-22T20:57:38.000Z | 2022-03-20T20:25:57.000Z | examples/hello_world.py | davidmoshal/tinyweb | 33d73c90f005cfd3423affe358cad0f13c37728f | [
"MIT"
] | 43 | 2018-01-04T19:40:50.000Z | 2022-03-11T04:13:56.000Z | examples/hello_world.py | davidmoshal/tinyweb | 33d73c90f005cfd3423affe358cad0f13c37728f | [
"MIT"
] | 31 | 2018-01-04T19:44:43.000Z | 2022-02-25T18:22:59.000Z | #!/usr/bin/env micropython
"""
MIT license
(C) Konstantin Belyalov 2017-2018
"""
import tinyweb
# Create web server application
app = tinyweb.webserver()
# Index page
@app.route('/')
async def index(request, response):
# Start HTTP response with content-type text/html
await response.start_html()
# Send ... | 25.47541 | 99 | 0.608752 |
import tinyweb
app = tinyweb.webserver()
@app.route('/')
async def index(request, response):
await response.start_html()
await response.send('<html><body><h1>Hello, world! (<a href="/table">table</a>)</h1></html>\n')
@app.route('/redirect')
async def redirect(request, response):
awa... | true | true |
1c337acc17a2be10f8496a8319d99b7d4033b230 | 1,148 | py | Python | FMR3.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | 1 | 2021-06-07T07:55:28.000Z | 2021-06-07T07:55:28.000Z | FMR3.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | null | null | null | FMR3.py | PRASAD-DANGARE/PYTHON | 36214f7dc3762d327e5a29e40752edeb098249c8 | [
"MIT"
] | null | null | null | '''
Description : Creating Filter, Map, Reduce Using Lambda In CheckEven & Increment Function
Function Date : 21 Feb 2021
Function Author : Prasad Dangare
Input : Int
Output : Int
'''
from functools import reduce
CheckEven = lambda no : (no % 2 == 0) # (no % 2) it disp... | 25.511111 | 96 | 0.591463 |
from functools import reduce
CheckEven = lambda no : (no % 2 == 0)
Increment = lambda no : no + 2
Add = lambda no1,no2: no1 + no2
def Add(no1, no2):
return no1 + no2
def main():
arr = []
print("Enter Number Of Elements : ")
size = int(input())
for i in range(size):
... | true | true |
1c337ba90e3206e8f089b8a4898c1d48a9a249cf | 695 | py | Python | HTN 2021 Backend/cockroach/manage.py | joonsauce/HTN-2021 | 573722e3a9a74e928562c93a96649dc1e6e5843f | [
"MIT"
] | null | null | null | HTN 2021 Backend/cockroach/manage.py | joonsauce/HTN-2021 | 573722e3a9a74e928562c93a96649dc1e6e5843f | [
"MIT"
] | null | null | null | HTN 2021 Backend/cockroach/manage.py | joonsauce/HTN-2021 | 573722e3a9a74e928562c93a96649dc1e6e5843f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'cockroach_example.settings')
try:
from django.core.management import execute_from_command_... | 30.217391 | 82 | 0.661871 |
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'cockroach_example.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's i... | true | true |
1c337bee7cd0693eab260160e467f2c2904382dd | 1,547 | py | Python | django_postgres_extensions/models/sql/subqueries.py | primal100/django_nosql | bb1edc2cbf194fe571a605595a898b2528918301 | [
"BSD-3-Clause"
] | 56 | 2016-08-19T10:47:24.000Z | 2022-01-04T16:19:40.000Z | django_postgres_extensions/models/sql/subqueries.py | primal100/django_nosql | bb1edc2cbf194fe571a605595a898b2528918301 | [
"BSD-3-Clause"
] | 8 | 2016-11-18T17:02:55.000Z | 2020-02-05T02:45:05.000Z | django_postgres_extensions/models/sql/subqueries.py | primal100/django_nosql | bb1edc2cbf194fe571a605595a898b2528918301 | [
"BSD-3-Clause"
] | 30 | 2017-07-17T19:06:15.000Z | 2022-03-26T12:03:01.000Z | from django.db.models.sql.subqueries import UpdateQuery as BaseUpdateQuery
from django.utils import six
from django.core.exceptions import FieldError
class UpdateQuery(BaseUpdateQuery):
def add_update_values(self, values):
"""
Convert a dictionary of field name to value mappings into an update
... | 45.5 | 94 | 0.570136 | from django.db.models.sql.subqueries import UpdateQuery as BaseUpdateQuery
from django.utils import six
from django.core.exceptions import FieldError
class UpdateQuery(BaseUpdateQuery):
def add_update_values(self, values):
values_seq = []
for name, val in six.iteritems(values):
if '__' ... | true | true |
1c337cbe8d9b470df7a41ce6346db421baca5e69 | 569 | py | Python | codes/core_dos.py | MasterScott/hack4career | 2e1b815a083e3f50ddfc59b0e61d9dc5e7c6f856 | [
"Apache-2.0"
] | 96 | 2015-06-03T04:32:36.000Z | 2022-03-16T21:46:14.000Z | codes/core_dos.py | MasterScott/hack4career | 2e1b815a083e3f50ddfc59b0e61d9dc5e7c6f856 | [
"Apache-2.0"
] | null | null | null | codes/core_dos.py | MasterScott/hack4career | 2e1b815a083e3f50ddfc59b0e61d9dc5e7c6f856 | [
"Apache-2.0"
] | 30 | 2016-01-22T14:45:51.000Z | 2021-09-14T06:29:31.000Z | # Core FTP Server 1.0 Build 319
# Denial of Service Vulnerability
# Note: FTP account is not required for exploitation
# http://www.mertsarica.com
import socket, sys
HOST = 'localhost'
PORT = 21
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
s.connect((HOST, PORT))
exce... | 22.76 | 75 | 0.634446 |
import socket, sys
HOST = 'localhost'
PORT = 21
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
s.connect((HOST, PORT))
except:
print "Connection error"
sys.exit(1)
try:
s.send('USER MS\r\n')
s.close()
print("Very good, young padawan, but you ... | false | true |
1c337d56b55c427783a9423271a2671bd9e50c9a | 21,999 | py | Python | baselines/her/ddpg.py | swkokr/FetchPickAndPlace_HER_DDPG | 8378b53dac922cffeff8e2bdabca69cf6fd8bd54 | [
"MIT"
] | null | null | null | baselines/her/ddpg.py | swkokr/FetchPickAndPlace_HER_DDPG | 8378b53dac922cffeff8e2bdabca69cf6fd8bd54 | [
"MIT"
] | null | null | null | baselines/her/ddpg.py | swkokr/FetchPickAndPlace_HER_DDPG | 8378b53dac922cffeff8e2bdabca69cf6fd8bd54 | [
"MIT"
] | null | null | null | from collections import OrderedDict
import numpy as np
import tensorflow as tf
from tensorflow.contrib.staging import StagingArea
from baselines import logger
from baselines.her.util import (
import_function, store_args, flatten_grads, transitions_in_episode_batch, convert_episode_to_batch_major)
from baselines.h... | 48.995546 | 212 | 0.630347 | from collections import OrderedDict
import numpy as np
import tensorflow as tf
from tensorflow.contrib.staging import StagingArea
from baselines import logger
from baselines.her.util import (
import_function, store_args, flatten_grads, transitions_in_episode_batch, convert_episode_to_batch_major)
from baselines.h... | true | true |
1c337e6758b16a9bafaa9f9554d376509b23dd65 | 49 | py | Python | day.py | dbk9eb/cs3240-labdemo | a03b7487ff2fafd1cb45227db47084152b062a70 | [
"MIT"
] | null | null | null | day.py | dbk9eb/cs3240-labdemo | a03b7487ff2fafd1cb45227db47084152b062a70 | [
"MIT"
] | null | null | null | day.py | dbk9eb/cs3240-labdemo | a03b7487ff2fafd1cb45227db47084152b062a70 | [
"MIT"
] | null | null | null | import helper
helper.print_message("Good day!")
| 12.25 | 33 | 0.77551 | import helper
helper.print_message("Good day!")
| true | true |
1c337e7eeef15dde12d44510cd913c3e9a628fd0 | 7,825 | py | Python | test/test_niaapi_api.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 21 | 2018-03-29T14:20:35.000Z | 2021-10-13T05:11:41.000Z | test/test_niaapi_api.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 14 | 2018-01-30T15:45:46.000Z | 2022-02-23T14:23:21.000Z | test/test_niaapi_api.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 18 | 2018-01-03T15:09:56.000Z | 2021-07-16T02:21:54.000Z | # coding: utf-8
"""
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environmen... | 32.334711 | 1,052 | 0.689968 |
from __future__ import absolute_import
import unittest
import intersight
from intersight.api.niaapi_api import NiaapiApi
from intersight.rest import ApiException
class TestNiaapiApi(unittest.TestCase):
def setUp(self):
self.api = intersight.api.niaapi_api.NiaapiApi()
def tearDown(self):
... | true | true |
1c338012d5f71015b69976f28bb231597f53471c | 4,188 | py | Python | configs/distillers/fgd/fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py | jie311/FGD | 031ef509f2f19c281132447d82a1c077943eb64e | [
"Apache-2.0"
] | 103 | 2021-11-23T07:12:41.000Z | 2022-03-31T13:28:10.000Z | configs/distillers/fgd/fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py | jie311/FGD | 031ef509f2f19c281132447d82a1c077943eb64e | [
"Apache-2.0"
] | 18 | 2021-11-29T14:59:21.000Z | 2022-03-31T09:43:39.000Z | configs/distillers/fgd/fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py | Senwang98/Lightweight-Detection-and-KD | 7d6a4c02d922d4ed0920c9108f1f06dd63c5e90b | [
"Apache-2.0"
] | 12 | 2021-11-28T10:26:38.000Z | 2022-03-28T06:10:44.000Z | _base_ = [
'../../_base_/datasets/coco_detection.py',
'../../_base_/schedules/schedule_2x.py', '../../_base_/default_runtime.py'
]
# model settings
find_unused_parameters=True
temp=0.5
alpha_fgd=0.00005
beta_fgd=0.000025
gamma_fgd=0.00005
lambda_fgd=0.0000005
distiller = dict(
type='DetectionDistiller',
... | 49.857143 | 198 | 0.401862 | _base_ = [
'../../_base_/datasets/coco_detection.py',
'../../_base_/schedules/schedule_2x.py', '../../_base_/default_runtime.py'
]
find_unused_parameters=True
temp=0.5
alpha_fgd=0.00005
beta_fgd=0.000025
gamma_fgd=0.00005
lambda_fgd=0.0000005
distiller = dict(
type='DetectionDistiller',
teacher_pretrai... | true | true |
1c3380428247352863fee058af182659e36101fa | 10,798 | py | Python | MLCtr/machineLearning/decision_tree.py | devillove084/CollageDesign | e2a85a8d15f82d1f72b754de04af78126eae9a1c | [
"MIT"
] | 3 | 2018-12-28T14:12:53.000Z | 2019-06-08T16:30:25.000Z | MLCtr/machineLearning/decision_tree.py | devillove084/CollageDesign | e2a85a8d15f82d1f72b754de04af78126eae9a1c | [
"MIT"
] | null | null | null | MLCtr/machineLearning/decision_tree.py | devillove084/CollageDesign | e2a85a8d15f82d1f72b754de04af78126eae9a1c | [
"MIT"
] | null | null | null | from __future__ import division, print_function
import numpy as np
import cupy
from graduateutil import divide_on_feature, train_test_split, standardize, mean_squared_error
from graduateutil import calculate_entropy, accuracy_score, calculate_variance
class DecisionNode():
"""Class that represents a decision nod... | 39.265455 | 104 | 0.602889 | from __future__ import division, print_function
import numpy as np
import cupy
from graduateutil import divide_on_feature, train_test_split, standardize, mean_squared_error
from graduateutil import calculate_entropy, accuracy_score, calculate_variance
class DecisionNode():
def __init__(self, feature_i=None, thre... | true | true |
1c338084d15ebb05209be561572bd9f31821a301 | 289 | py | Python | define.py | nikv96/Retail-Work-Allocation-Program | 23da2478c287846ebba59b30c94dd4e28aba2a62 | [
"MIT"
] | 1 | 2019-01-16T05:00:29.000Z | 2019-01-16T05:00:29.000Z | define.py | nikv96/Retail-Work-Allocation-Program | 23da2478c287846ebba59b30c94dd4e28aba2a62 | [
"MIT"
] | null | null | null | define.py | nikv96/Retail-Work-Allocation-Program | 23da2478c287846ebba59b30c94dd4e28aba2a62 | [
"MIT"
] | null | null | null | '''This file has all the definitions'''
weekends = ["Sunday", "Saturday"]
weekdays = ["Monday","Tuesday","Wednesday","Thursday","Friday"]
days = ["Sunday", "Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"]
unusable_words = ["Name", "Off", "Days", "========================"]
| 41.285714 | 80 | 0.598616 |
weekends = ["Sunday", "Saturday"]
weekdays = ["Monday","Tuesday","Wednesday","Thursday","Friday"]
days = ["Sunday", "Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"]
unusable_words = ["Name", "Off", "Days", "========================"]
| true | true |
1c3380ecd30ca56195bc242c33cef8c3f44c596d | 4,329 | py | Python | photo_gallery/models.py | Fritzip/splitted-nz | 405089440350c4808144d5ed711606513efcdefb | [
"Apache-2.0"
] | null | null | null | photo_gallery/models.py | Fritzip/splitted-nz | 405089440350c4808144d5ed711606513efcdefb | [
"Apache-2.0"
] | 3 | 2019-11-16T08:10:48.000Z | 2020-03-14T23:14:41.000Z | photo_gallery/models.py | Fritzip/splitted-nz | 405089440350c4808144d5ed711606513efcdefb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import uuid
from django.db import models
from django.db.models.signals import post_delete
from django.dispatch import receiver
from django.urls import reverse
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFit
from datetime import datet... | 37.973684 | 146 | 0.635482 |
import uuid
from django.db import models
from django.db.models.signals import post_delete
from django.dispatch import receiver
from django.urls import reverse
from imagekit.models import ImageSpecField
from imagekit.processors import ResizeToFit
from datetime import datetime
def event_date(start, end):
if end i... | true | true |
1c33815f990bfe1e8339c56f82402e636f730e30 | 938 | py | Python | clients/client/python/test/test_identity_schema_location.py | ory/sdk | 9849c6115f44f4b7612ad246124d80b4401fd730 | [
"Apache-2.0"
] | 77 | 2020-02-14T17:27:36.000Z | 2022-03-25T08:44:52.000Z | clients/client/python/test/test_identity_schema_location.py | vinckr/sdk | 5b93557835af7ad3662ef620b3ef10729149d484 | [
"Apache-2.0"
] | 125 | 2020-02-07T21:45:52.000Z | 2022-03-31T12:54:24.000Z | clients/client/python/test/test_identity_schema_location.py | vinckr/sdk | 5b93557835af7ad3662ef620b3ef10729149d484 | [
"Apache-2.0"
] | 44 | 2020-01-31T22:05:47.000Z | 2022-03-09T14:41:22.000Z | """
Ory APIs
Documentation for all public and administrative Ory APIs. Administrative APIs can only be accessed with a valid Personal Access Token. Public APIs are mostly used in browsers. # noqa: E501
The version of the OpenAPI document: v0.0.1-alpha.30
Contact: support@ory.sh
Generated by: htt... | 25.351351 | 194 | 0.716418 |
import sys
import unittest
import ory_client
from ory_client.model.identity_schema_location import IdentitySchemaLocation
class TestIdentitySchemaLocation(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def testIdentitySchemaLocation(self):
s
if ... | true | true |
1c33821447ee3a2205f9ad20463239156a6209b2 | 1,375 | py | Python | AtC_Reg_Con_041-050/ARC050/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Reg_Con_041-050/ARC050/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Reg_Con_041-050/ARC050/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | import math, string, itertools, fractions, heapq, collections, re, array, bisect, sys, copy, functools, random
from collections import deque, defaultdict, Counter; from heapq import heappush, heappop
from itertools import permutations, combinations, product, accumulate, groupby
from bisect import bisect_left, bisect_ri... | 50.925926 | 111 | 0.593455 | import math, string, itertools, fractions, heapq, collections, re, array, bisect, sys, copy, functools, random
from collections import deque, defaultdict, Counter; from heapq import heappush, heappop
from itertools import permutations, combinations, product, accumulate, groupby
from bisect import bisect_left, bisect_ri... | true | true |
1c33828faa0aa4daff20627b4fe5cc532a8ee1a8 | 321 | py | Python | src/pvt_model/pvt_system/__init__.py | BenWinchester/PVTModel | 6bf3976b06f406f632e0a9e525cd8b05359da239 | [
"MIT"
] | 1 | 2021-05-11T14:15:11.000Z | 2021-05-11T14:15:11.000Z | src/pvt_model/pvt_system/__init__.py | BenWinchester/PVTModel | 6bf3976b06f406f632e0a9e525cd8b05359da239 | [
"MIT"
] | 14 | 2021-02-23T11:53:08.000Z | 2021-11-16T10:45:31.000Z | src/pvt_model/pvt_system/__init__.py | BenWinchester/PVTModel | 6bf3976b06f406f632e0a9e525cd8b05359da239 | [
"MIT"
] | null | null | null | #!/usr/bin/python3.7
########################################################################################
# __init__.py - The init module for the PVT model component.
#
# Author: Ben Winchester
# Copyright: Ben Winchester, 2020
########################################################################################... | 40.125 | 88 | 0.327103 | true | true | |
1c3382fc20e6b4435b9f77ff3cc16a4a96a24d0b | 34,879 | py | Python | tests/ManualTableau/TestIplManualTableau.py | oIi123/TableauxProver | cb527f91f5c2d0393fbfcb3fb501b4480e0c9031 | [
"MIT"
] | null | null | null | tests/ManualTableau/TestIplManualTableau.py | oIi123/TableauxProver | cb527f91f5c2d0393fbfcb3fb501b4480e0c9031 | [
"MIT"
] | null | null | null | tests/ManualTableau/TestIplManualTableau.py | oIi123/TableauxProver | cb527f91f5c2d0393fbfcb3fb501b4480e0c9031 | [
"MIT"
] | null | null | null | import unittest
from src.builder_factory import LogicType
from src.Parser.PropParser import PropParser
from src.TableauxBuilder.BaseManualTableau import BaseManualTableau, BaseTableauxBuilder
from src.TableauxBuilder.IpcTableauxBuilder import IpcTableauxBuilder
def parse(expr: str):
return PropParser.parse(expr)... | 33.764763 | 99 | 0.577998 | import unittest
from src.builder_factory import LogicType
from src.Parser.PropParser import PropParser
from src.TableauxBuilder.BaseManualTableau import BaseManualTableau, BaseTableauxBuilder
from src.TableauxBuilder.IpcTableauxBuilder import IpcTableauxBuilder
def parse(expr: str):
return PropParser.parse(expr)... | true | true |
1c3384e6fe16456cdbde54061a311b075d5a9da1 | 29 | py | Python | tests/test_generate_isogeom.py | kkiesling/isogeom-generator | 5363c8431694b33f8c8de329ee31b3a6d67ccc7e | [
"MIT"
] | 1 | 2021-01-07T02:45:38.000Z | 2021-01-07T02:45:38.000Z | tests/test_generate_isogeom.py | kkiesling/isogeom-generator | 5363c8431694b33f8c8de329ee31b3a6d67ccc7e | [
"MIT"
] | 21 | 2020-05-18T16:38:22.000Z | 2021-08-24T16:46:24.000Z | tests/test_generate_isogeom.py | kkiesling/isogeom-generator | 5363c8431694b33f8c8de329ee31b3a6d67ccc7e | [
"MIT"
] | 1 | 2020-05-18T16:36:35.000Z | 2020-05-18T16:36:35.000Z | """tests for the CLI tool"""
| 14.5 | 28 | 0.62069 | true | true | |
1c33851d2b3f96989d1efe22871a59d33273da9d | 141 | py | Python | apps/example/urls.py | evertrol/det | 5d397010bc9a608dcb38c176bb3f89e4f17ab272 | [
"MIT"
] | null | null | null | apps/example/urls.py | evertrol/det | 5d397010bc9a608dcb38c176bb3f89e4f17ab272 | [
"MIT"
] | null | null | null | apps/example/urls.py | evertrol/det | 5d397010bc9a608dcb38c176bb3f89e4f17ab272 | [
"MIT"
] | null | null | null | from django.urls import path, include
from . import views
app_name = 'example'
urlpatterns = [
path('', views.index, name='index'),
]
| 14.1 | 40 | 0.673759 | from django.urls import path, include
from . import views
app_name = 'example'
urlpatterns = [
path('', views.index, name='index'),
]
| true | true |
1c3385c27648c79188c5318fa397b3bfcb64799f | 1,397 | py | Python | bot.py | Juniorredcoder/G-Bot | c733afd912351137a9a1d21451ea442b1ac9d7f2 | [
"Unlicense"
] | 1 | 2022-02-10T15:29:33.000Z | 2022-02-10T15:29:33.000Z | bot.py | Juniorredcoder/G-Bot | c733afd912351137a9a1d21451ea442b1ac9d7f2 | [
"Unlicense"
] | null | null | null | bot.py | Juniorredcoder/G-Bot | c733afd912351137a9a1d21451ea442b1ac9d7f2 | [
"Unlicense"
] | null | null | null | print("Type 'help' for show command")
import os
from colorama import init
from colorama import Fore
init()
c=1
while True :
pw=input(Fore.RED + 'G-BOT>')
print()
if pw == 'help':
print("----------COMMAND----------\n\n 1.hey g-bot\n 2.i am fine and you\n 3.who is your boss\n 4.who gave you this name\n... | 43.65625 | 189 | 0.569077 | print("Type 'help' for show command")
import os
from colorama import init
from colorama import Fore
init()
c=1
while True :
pw=input(Fore.RED + 'G-BOT>')
print()
if pw == 'help':
print("----------COMMAND----------\n\n 1.hey g-bot\n 2.i am fine and you\n 3.who is your boss\n 4.who gave you this name\n... | true | true |
1c338654e5da1e13145829ea4df34006bc84f57f | 3,698 | py | Python | tests/test_schedules.py | sunny316/redbeat | 51db315ef182f28cbb4a8d33af0b78bd816ac9a6 | [
"Apache-2.0"
] | null | null | null | tests/test_schedules.py | sunny316/redbeat | 51db315ef182f28cbb4a8d33af0b78bd816ac9a6 | [
"Apache-2.0"
] | null | null | null | tests/test_schedules.py | sunny316/redbeat | 51db315ef182f28cbb4a8d33af0b78bd816ac9a6 | [
"Apache-2.0"
] | null | null | null | from datetime import (
datetime,
timedelta
)
from unittest import TestCase
from mock import patch
try: # celery 3.x
from celery.utils.timeutils import timezone
except ImportError: # celery 4.x
from celery.utils.time import timezone
from redbeat.schedules import rrule
@patch.object(rrule, 'now', dat... | 42.022727 | 94 | 0.685506 | from datetime import (
datetime,
timedelta
)
from unittest import TestCase
from mock import patch
try:
from celery.utils.timeutils import timezone
except ImportError:
from celery.utils.time import timezone
from redbeat.schedules import rrule
@patch.object(rrule, 'now', datetime.utcnow)
@patch.obj... | true | true |
1c3386f366875ac76dffe8e01e1ffd6fa00ba05d | 6,725 | py | Python | metadata-ingestion/src/datahub/ingestion/source/snowflake_usage.py | emailstonl/datahub | 19b2a42a00ca43a7d042ae2a8e5d05498df7f2a9 | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/ingestion/source/snowflake_usage.py | emailstonl/datahub | 19b2a42a00ca43a7d042ae2a8e5d05498df7f2a9 | [
"Apache-2.0"
] | null | null | null | metadata-ingestion/src/datahub/ingestion/source/snowflake_usage.py | emailstonl/datahub | 19b2a42a00ca43a7d042ae2a8e5d05498df7f2a9 | [
"Apache-2.0"
] | null | null | null | import collections
import dataclasses
import json
import logging
from datetime import datetime, timezone
from typing import Dict, Iterable, List, Optional
import pydantic
import pydantic.dataclasses
from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
import datahub.emitter.mce_builder as builder... | 33.625 | 173 | 0.684164 | import collections
import dataclasses
import json
import logging
from datetime import datetime, timezone
from typing import Dict, Iterable, List, Optional
import pydantic
import pydantic.dataclasses
from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
import datahub.emitter.mce_builder as builder... | true | true |
1c338708ba9ffe0bff745b5465014d4deb775853 | 5,676 | py | Python | landlab/io/shapefile/read_shapefile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | null | null | null | landlab/io/shapefile/read_shapefile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | 1 | 2016-03-16T02:34:08.000Z | 2016-04-20T19:31:30.000Z | landlab/io/shapefile/read_shapefile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Functions to read shapefiles and create a NetworkModelGrid.
"""
import shapefile as ps
from shapefile import ShapefileException
from landlab.grid.network import NetworkModelGrid
def read_shapefile(file, dbf=None, store_polyline_vertices=True):
"""Read shapefile ... | 32.067797 | 83 | 0.59408 |
import shapefile as ps
from shapefile import ShapefileException
from landlab.grid.network import NetworkModelGrid
def read_shapefile(file, dbf=None, store_polyline_vertices=True):
try:
sf = ps.Reader(file)
except ShapefileException:
try:
sf = ps.Reader(shp=file, dbf=dbf)
... | true | true |
1c33885ab73973c5c33df2e9e517ec6a25907d24 | 1,031 | py | Python | config/api_router.py | unkn1w/Delivery | 21b33f5b8d9f057c129fc78c175b6c79fcd23122 | [
"MIT"
] | null | null | null | config/api_router.py | unkn1w/Delivery | 21b33f5b8d9f057c129fc78c175b6c79fcd23122 | [
"MIT"
] | null | null | null | config/api_router.py | unkn1w/Delivery | 21b33f5b8d9f057c129fc78c175b6c79fcd23122 | [
"MIT"
] | null | null | null | from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from delivery_proj.users.api.views import (
UserViewSet,
RestaurantViewSet,
CreateRestaurantViewSet,
CourierViewSet,
BuyerViewSet,
)
from delivery_proj.dishes.views import DishesListViewSet, DishesCreate... | 32.21875 | 77 | 0.794374 | from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from delivery_proj.users.api.views import (
UserViewSet,
RestaurantViewSet,
CreateRestaurantViewSet,
CourierViewSet,
BuyerViewSet,
)
from delivery_proj.dishes.views import DishesListViewSet, DishesCreate... | true | true |
1c3389847f06331c2903a02107214390a38adbea | 5,083 | py | Python | doc/development/tutorials/examples/recipe.py | Lu-Yi-Hsun/sphinx | 7e81e1432e4a63bad0b13db5652f9ed02ea04f41 | [
"BSD-2-Clause"
] | 2 | 2021-09-25T12:48:31.000Z | 2021-10-01T16:59:43.000Z | doc/development/tutorials/examples/recipe.py | Lu-Yi-Hsun/sphinx | 7e81e1432e4a63bad0b13db5652f9ed02ea04f41 | [
"BSD-2-Clause"
] | 2 | 2022-02-14T03:20:12.000Z | 2022-03-02T10:44:31.000Z | doc/development/tutorials/examples/recipe.py | Lu-Yi-Hsun/sphinx | 7e81e1432e4a63bad0b13db5652f9ed02ea04f41 | [
"BSD-2-Clause"
] | 1 | 2021-06-06T04:30:02.000Z | 2021-06-06T04:30:02.000Z | from collections import defaultdict
from docutils.parsers.rst import directives
from sphinx import addnodes
from sphinx.directives import ObjectDescription
from sphinx.domains import Domain, Index
from sphinx.roles import XRefRole
from sphinx.util.nodes import make_refnode
class RecipeDirective(ObjectDescription):
... | 31.571429 | 78 | 0.613024 | from collections import defaultdict
from docutils.parsers.rst import directives
from sphinx import addnodes
from sphinx.directives import ObjectDescription
from sphinx.domains import Domain, Index
from sphinx.roles import XRefRole
from sphinx.util.nodes import make_refnode
class RecipeDirective(ObjectDescription):
... | true | true |
1c3389a940ec699819dd5b5b565bb6d39d01e0f5 | 5,286 | py | Python | tests/test_linux_aarch64_64.py | ngothan/py-cpuinfo | d8a9c9b095be55d5ceebf42497f099039fe8c348 | [
"MIT"
] | null | null | null | tests/test_linux_aarch64_64.py | ngothan/py-cpuinfo | d8a9c9b095be55d5ceebf42497f099039fe8c348 | [
"MIT"
] | null | null | null | tests/test_linux_aarch64_64.py | ngothan/py-cpuinfo | d8a9c9b095be55d5ceebf42497f099039fe8c348 | [
"MIT"
] | null | null | null |
import unittest
from cpuinfo import *
import helpers
class MockDataSource(object):
bits = '64bit'
cpu_count = 6
is_windows = False
arch_string_raw = 'aarch64'
uname_string_raw = ''
can_cpuid = False
@staticmethod
def has_proc_cpuinfo():
return True
@staticmethod
def has_lscpu():
return True
@stati... | 27.821053 | 99 | 0.694098 |
import unittest
from cpuinfo import *
import helpers
class MockDataSource(object):
bits = '64bit'
cpu_count = 6
is_windows = False
arch_string_raw = 'aarch64'
uname_string_raw = ''
can_cpuid = False
@staticmethod
def has_proc_cpuinfo():
return True
@staticmethod
def has_lscpu():
return True
@stati... | true | true |
1c338a3c880b366bde0f0b55bed72fa47ca41f96 | 3,267 | py | Python | atari/dqn/replay_memory.py | podondra/roboschool-rl | 2e6d6b1302eaa9aea12ebd81e2ad7a22d29a8d69 | [
"MIT"
] | 2 | 2018-03-06T21:26:34.000Z | 2021-12-22T12:31:47.000Z | atari/dqn/replay_memory.py | podondra/roboschool-rl | 2e6d6b1302eaa9aea12ebd81e2ad7a22d29a8d69 | [
"MIT"
] | 4 | 2019-12-16T20:37:48.000Z | 2020-03-30T20:08:36.000Z | atari/dqn/replay_memory.py | podondra/roboschool-rl | 2e6d6b1302eaa9aea12ebd81e2ad7a22d29a8d69 | [
"MIT"
] | 2 | 2018-03-06T21:45:19.000Z | 2018-04-06T20:53:15.000Z | import numpy
import tensorflow
from collections import deque
class Preprocessor:
def __init__(self):
self.img = tensorflow.placeholder(
tensorflow.uint8,
shape=[210, 160, 3]
)
gray_img = tensorflow.image.rgb_to_grayscale(self.img)
resize_img ... | 33 | 76 | 0.584328 | import numpy
import tensorflow
from collections import deque
class Preprocessor:
def __init__(self):
self.img = tensorflow.placeholder(
tensorflow.uint8,
shape=[210, 160, 3]
)
gray_img = tensorflow.image.rgb_to_grayscale(self.img)
resize_img ... | true | true |
1c338b26f0776a4698a5f37082f87bdc9110edbf | 33,115 | py | Python | test/functional/rpc_fundrawtransaction.py | shadow-42/litecoincash | 965c806041f8e425ab5b9c8b979cf100c0ecf740 | [
"MIT"
] | 78 | 2018-02-20T00:38:43.000Z | 2022-03-11T04:11:04.000Z | test/functional/rpc_fundrawtransaction.py | shadow-42/litecoincash | 965c806041f8e425ab5b9c8b979cf100c0ecf740 | [
"MIT"
] | 39 | 2018-02-20T13:36:27.000Z | 2021-11-30T23:38:34.000Z | test/functional/rpc_fundrawtransaction.py | shadow-42/litecoincash | 965c806041f8e425ab5b9c8b979cf100c0ecf740 | [
"MIT"
] | 77 | 2018-02-20T00:45:12.000Z | 2022-02-14T21:21:15.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the fundrawtransaction RPC."""
from test_framework.test_framework import BitcoinTestFramework
fro... | 45.177353 | 223 | 0.569651 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
def get_unspent(listunspent, amount):
for utx in listunspent:
if utx['amount'] == amount:
return utx
raise AssertionError('Could not find unspent with amount={}'.format(amount))
class Raw... | true | true |
1c338ee827f3d72ea745ec0b86a9646c7ce8fc3e | 219 | py | Python | Code/bindings.py | akankshadiwedy/t2wml | 02f60611eec19d10a92fd2cb06f07339cd2cb269 | [
"MIT"
] | null | null | null | Code/bindings.py | akankshadiwedy/t2wml | 02f60611eec19d10a92fd2cb06f07339cd2cb269 | [
"MIT"
] | null | null | null | Code/bindings.py | akankshadiwedy/t2wml | 02f60611eec19d10a92fd2cb06f07339cd2cb269 | [
"MIT"
] | null | null | null | bindings = {
"$col": None,
"$row": None,
"$left": None,
"$right": None,
"$top": None,
"$bottom": None,
"excel_sheet": None,
"item_table": None,
"created_by": None,
"code": None
}
| 16.846154 | 24 | 0.488584 | bindings = {
"$col": None,
"$row": None,
"$left": None,
"$right": None,
"$top": None,
"$bottom": None,
"excel_sheet": None,
"item_table": None,
"created_by": None,
"code": None
}
| true | true |
1c3391056e78312935375ca84db34f34357fc24e | 3,314 | py | Python | src/utils.py | jcboyd/cyclegan-roi | f0c80c6122d17406f5282f58ea09abaf2b70c388 | [
"BSD-2-Clause"
] | null | null | null | src/utils.py | jcboyd/cyclegan-roi | f0c80c6122d17406f5282f58ea09abaf2b70c388 | [
"BSD-2-Clause"
] | null | null | null | src/utils.py | jcboyd/cyclegan-roi | f0c80c6122d17406f5282f58ea09abaf2b70c388 | [
"BSD-2-Clause"
] | null | null | null | import numpy as np
import torch
from torch.nn import UpsamplingNearest2d, UpsamplingBilinear2d
from rectpack import newPacker
def get_mnist_canvas(images, labels, nb_classes=10, dim=128):
canvas = -torch.ones((dim, dim))
noise_canvas = torch.zeros((nb_classes, dim, dim))
condition_canvas = torch.zeros((... | 31.561905 | 85 | 0.610441 | import numpy as np
import torch
from torch.nn import UpsamplingNearest2d, UpsamplingBilinear2d
from rectpack import newPacker
def get_mnist_canvas(images, labels, nb_classes=10, dim=128):
canvas = -torch.ones((dim, dim))
noise_canvas = torch.zeros((nb_classes, dim, dim))
condition_canvas = torch.zeros((... | true | true |
1c33916ee264c79fbaa5784392a842d3ae69941f | 1,791 | py | Python | uri/1048_aumento_salario.py | thekilian/Python-pratica | 875661addd5b8eb4364bc638832c7ab55dcefce4 | [
"MIT"
] | null | null | null | uri/1048_aumento_salario.py | thekilian/Python-pratica | 875661addd5b8eb4364bc638832c7ab55dcefce4 | [
"MIT"
] | null | null | null | uri/1048_aumento_salario.py | thekilian/Python-pratica | 875661addd5b8eb4364bc638832c7ab55dcefce4 | [
"MIT"
] | null | null | null | '''
A empresa ABC resolveu conceder um aumento de salários a seus funcionários de acordo com a tabela abaixo:
| Salário | Percentual de reajuste |
| ----------------- | ---------------------- |
| 0 - 400.00 | 15% |
| 400.01 - 800.00 | 12% |
| 800.01 - 1200.00 ... | 33.792453 | 137 | 0.487437 |
salario = float(input())
if salario > 0 and salario <= 400.00:
reaj = salario * 0.15
perc = 15
elif salario >= 400.01 and salario <= 800.00:
reaj = salario * 0.12
perc = 12
elif salario >= 800.01 and salario <= 1200.00:
reaj = salario * 0.1
perc = 10
elif salario >= 1200.01 and salario <= 200... | true | true |
1c3391bb5056d6b61b8866c71a4dff48e53c8011 | 14,150 | py | Python | .ci/gitlab/template.ci.py | kinnala/pymor | 9d2a8ee5f7a71482e62952257332d269d50678e9 | [
"Unlicense"
] | null | null | null | .ci/gitlab/template.ci.py | kinnala/pymor | 9d2a8ee5f7a71482e62952257332d269d50678e9 | [
"Unlicense"
] | 36 | 2020-06-12T07:36:49.000Z | 2022-03-29T14:06:48.000Z | .ci/gitlab/template.ci.py | kinnala/pymor | 9d2a8ee5f7a71482e62952257332d269d50678e9 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import os
import jinja2
from pathlib import Path # python3 only
from dotenv import dotenv_values
import sys
import gitlab
from itertools import product
tpl = r'''# THIS FILE IS AUTOGENERATED -- DO NOT EDIT #
# Edit and Re-run .ci/gitlab/template.ci.py instead #
stages:
- sanity
- ... | 29.852321 | 120 | 0.60735 |
import os
import jinja2
from pathlib import Path
from dotenv import dotenv_values
import sys
import gitlab
from itertools import product
tpl = r'''# THIS FILE IS AUTOGENERATED -- DO NOT EDIT #
# Edit and Re-run .ci/gitlab/template.ci.py instead #
stages:
- sanity
- test
- build
- install_checks
... | true | true |
1c3392e6c9028b64b4c55b56789f2ea41763f5d4 | 690 | py | Python | tests/integration/announce/discord/helpers.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 33 | 2018-01-16T02:04:51.000Z | 2022-03-22T22:57:29.000Z | tests/integration/announce/discord/helpers.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 7 | 2019-06-16T22:02:03.000Z | 2021-10-02T13:45:31.000Z | tests/integration/announce/discord/helpers.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 14 | 2019-06-01T21:39:24.000Z | 2022-03-14T17:56:43.000Z | """
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from contextlib import contextmanager
from datetime import datetime
from http import HTTPStatus
from requests_mock import Mocker
def now() -> datetime:
return datetime.utcnow()
@contextmanager
def mocked_... | 20.909091 | 57 | 0.726087 |
from contextlib import contextmanager
from datetime import datetime
from http import HTTPStatus
from requests_mock import Mocker
def now() -> datetime:
return datetime.utcnow()
@contextmanager
def mocked_webhook_receiver(url: str):
with Mocker() as mock:
mock.post(url, status_code=HTTPStatus.NO_CO... | true | true |
1c3393cf1f4fce02e2eec81b119a7656e4dd6b91 | 6,401 | py | Python | rabbittop/_rabbitmq.py | jve/rabbittop | 1cac40f66135cff5433e3d6fac99cd0898a927de | [
"MIT"
] | 1 | 2019-08-19T19:30:06.000Z | 2019-08-19T19:30:06.000Z | rabbittop/_rabbitmq.py | jve/rabbittop | 1cac40f66135cff5433e3d6fac99cd0898a927de | [
"MIT"
] | null | null | null | rabbittop/_rabbitmq.py | jve/rabbittop | 1cac40f66135cff5433e3d6fac99cd0898a927de | [
"MIT"
] | null | null | null | """ RabbitMQ API
"""
import httplib
import base64
import os
import json
import collections
import datetime
import logging
_log = logging.getLogger()
# Use urllib.extra_quote to deal with weird names
def overview(host, user, password, port):
return dict(_create_http_client(host, user, password, port, 'overview'... | 35.759777 | 111 | 0.612248 |
import httplib
import base64
import os
import json
import collections
import datetime
import logging
_log = logging.getLogger()
def overview(host, user, password, port):
return dict(_create_http_client(host, user, password, port, 'overview'))
def status(host, user, password, port, node_name=None):
if nod... | true | true |
1c3394928c52fedcbcc3da1f0b982b0115c87fd9 | 3,783 | py | Python | helper.py | ypislon/bachelorarbeit | 2e1d07d667d505a79d1adb9363cec5d21dafe832 | [
"MIT"
] | null | null | null | helper.py | ypislon/bachelorarbeit | 2e1d07d667d505a79d1adb9363cec5d21dafe832 | [
"MIT"
] | null | null | null | helper.py | ypislon/bachelorarbeit | 2e1d07d667d505a79d1adb9363cec5d21dafe832 | [
"MIT"
] | null | null | null | from datetime import date, datetime, timedelta
from db_schema import Link
from lxml import html
from io import StringIO
from urllib.parse import urljoin, urlparse
import logging
def parse_articles_url(website):
url_fragment = website.article_page
urls = list()
urls.append(url_fragment)
if "$c$" in url_... | 34.081081 | 102 | 0.564896 | from datetime import date, datetime, timedelta
from db_schema import Link
from lxml import html
from io import StringIO
from urllib.parse import urljoin, urlparse
import logging
def parse_articles_url(website):
url_fragment = website.article_page
urls = list()
urls.append(url_fragment)
if "$c$" in url_... | true | true |
1c3394b0fdf1cb4f0d0ea09c509138088e5bae0f | 926 | py | Python | python/algs/utils/analytic_functions.py | kumaratinfy/Problem-Solving | be9e3b8a630e4126f150b9e7f03c2f3290ba3255 | [
"MIT"
] | null | null | null | python/algs/utils/analytic_functions.py | kumaratinfy/Problem-Solving | be9e3b8a630e4126f150b9e7f03c2f3290ba3255 | [
"MIT"
] | null | null | null | python/algs/utils/analytic_functions.py | kumaratinfy/Problem-Solving | be9e3b8a630e4126f150b9e7f03c2f3290ba3255 | [
"MIT"
] | null | null | null | import time
def timedcall(fn, *args):
t0 = time.clock()
result = fn(*args)
t1 = time.clock()
return t1-t0, result
def average(numbers):
return sum(numbers)/float(len(numbers))
def timedcalls(n, fn, *args):
if isinstance(n, int):
times = [timedcall(fn, *args)[0] for _ in range(n)]
... | 26.457143 | 70 | 0.597192 | import time
def timedcall(fn, *args):
t0 = time.clock()
result = fn(*args)
t1 = time.clock()
return t1-t0, result
def average(numbers):
return sum(numbers)/float(len(numbers))
def timedcalls(n, fn, *args):
if isinstance(n, int):
times = [timedcall(fn, *args)[0] for _ in range(n)]
... | false | true |
1c3394d89f14bc25458db3b830953f77ae6fec43 | 6,005 | py | Python | treex/losses/mean_absolute_percentage_error.py | ptigwe/treex | c46687376ccc50c8fea6cb8617e22e4b4dd1924a | [
"MIT"
] | null | null | null | treex/losses/mean_absolute_percentage_error.py | ptigwe/treex | c46687376ccc50c8fea6cb8617e22e4b4dd1924a | [
"MIT"
] | null | null | null | treex/losses/mean_absolute_percentage_error.py | ptigwe/treex | c46687376ccc50c8fea6cb8617e22e4b4dd1924a | [
"MIT"
] | null | null | null | import typing as tp
import jax.numpy as jnp
from treex import types, utils
from treex.losses.loss import Loss, Reduction
def mean_absolute_percentage_error(
target: jnp.ndarray, preds: jnp.ndarray
) -> jnp.ndarray:
"""
Computes the mean absolute percentage error (MAPE) between target and pre... | 39.506579 | 134 | 0.603664 | import typing as tp
import jax.numpy as jnp
from treex import types, utils
from treex.losses.loss import Loss, Reduction
def mean_absolute_percentage_error(
target: jnp.ndarray, preds: jnp.ndarray
) -> jnp.ndarray:
target = target.astype(preds.dtype)
diff = jnp.abs((preds - target) / jnp.max... | true | true |
1c339520bc67e47717c062f56f9d48e1307b4a84 | 5,979 | py | Python | nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py | borisdayma/NeMo | 88f6c5b93574adb219185d5ded14b6393c485ea0 | [
"Apache-2.0"
] | 10 | 2020-03-17T08:32:06.000Z | 2021-04-19T19:03:50.000Z | nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py | dcmartin/NeMo | d2120a40bf23d3e38ff5677c2685c712f297e6b1 | [
"Apache-2.0"
] | null | null | null | nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py | dcmartin/NeMo | d2120a40bf23d3e38ff5677c2685c712f297e6b1 | [
"Apache-2.0"
] | 1 | 2020-10-21T18:09:46.000Z | 2020-10-21T18:09:46.000Z | # =============================================================================
# Copyright 2020 NVIDIA. All Rights Reserved.
# Copyright 2018 The Google AI Language Team Authors and
# The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | 36.457317 | 109 | 0.629369 |
from typing import List, Optional
from transformers import (
ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP,
ROBERTA_PRETRAINED_MODEL_ARCHIVE_MAP,
RobertaConfig,
RobertaModel,
)
from nemo.backends.pytorch.nm import TrainableNM
from nemo.core.neural_modules import PretrainedModelInfo
from nemo... | true | true |
1c33959f6b47a21892dd478875a12725a9158efb | 3,090 | py | Python | corai_util/finance/src/implied_vol.py | Code-Cornelius/python_libraries | 71c388da60e2aeb94369c3813faca93bf6a18ebf | [
"MIT"
] | 1 | 2022-01-01T22:10:04.000Z | 2022-01-01T22:10:04.000Z | corai_util/finance/src/implied_vol.py | Code-Cornelius/python_libraries | 71c388da60e2aeb94369c3813faca93bf6a18ebf | [
"MIT"
] | null | null | null | corai_util/finance/src/implied_vol.py | Code-Cornelius/python_libraries | 71c388da60e2aeb94369c3813faca93bf6a18ebf | [
"MIT"
] | null | null | null | # normal libraries
import warnings
import numpy as np
from scipy.optimize import bisect
from scipy.stats import norm
# priv_libraries
from corai_util.finance.src.bs_model import BlackScholes, BlackScholesVegaCore
from corai_util.calculus.src.optimization import newtons_method_vectorised
# section #################... | 31.530612 | 111 | 0.568608 |
import warnings
import numpy as np
from scipy.optimize import bisect
from scipy.stats import norm
from corai_util.finance.src.bs_model import BlackScholes, BlackScholesVegaCore
from corai_util.calculus.src.optimization import newtons_method_vectorised
| true | true |
1c33963ddc2208d0f62dde80080df6d235a6776b | 3,576 | py | Python | src/util/logging.py | ireina7/gzsl-seg | 9aad220274b4a58b59f5da430f873b5dfc21e458 | [
"MIT"
] | 1 | 2022-03-15T04:46:00.000Z | 2022-03-15T04:46:00.000Z | src/util/logging.py | ireina7/gzsl-seg | 9aad220274b4a58b59f5da430f873b5dfc21e458 | [
"MIT"
] | null | null | null | src/util/logging.py | ireina7/gzsl-seg | 9aad220274b4a58b59f5da430f873b5dfc21e458 | [
"MIT"
] | null | null | null | import sys
import matplotlib.pyplot as plt
from util.typing.basic import *
from src.config import *
def show_figure_nonblocking() -> None:
plt.show(block = False)
plt.pause(0.001)
#end show_figure_nonblocking
def show_figure_blocking() -> None:
plt.show()
#end show_figure_blocking
def show_if(EPOCH: int,... | 21.672727 | 74 | 0.626957 | import sys
import matplotlib.pyplot as plt
from util.typing.basic import *
from src.config import *
def show_figure_nonblocking() -> None:
plt.show(block = False)
plt.pause(0.001)
def show_figure_blocking() -> None:
plt.show()
def show_if(EPOCH: int, LOOP: int):
def f(epoch: int, loop: int, call_back... | true | true |
1c3396417062d3ec1b72e781ca37319cb0613da5 | 290 | py | Python | django_lightweight_queue/progress_logger.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 23 | 2015-04-29T04:47:02.000Z | 2022-03-11T12:43:01.000Z | django_lightweight_queue/progress_logger.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 23 | 2015-02-27T14:30:47.000Z | 2021-12-02T14:18:34.000Z | django_lightweight_queue/progress_logger.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 1 | 2015-08-18T12:27:08.000Z | 2015-08-18T12:27:08.000Z | from typing import TypeVar, Callable, Iterable, NamedTuple
T = TypeVar('T')
ProgressLogger = NamedTuple('ProgressLogger', [
('info', Callable[[str], None]),
('progress', Callable[[Iterable[T]], Iterable[T]]),
])
NULL_PROGRESS_LOGGER = ProgressLogger(lambda x: None, lambda x: x)
| 26.363636 | 66 | 0.696552 | from typing import TypeVar, Callable, Iterable, NamedTuple
T = TypeVar('T')
ProgressLogger = NamedTuple('ProgressLogger', [
('info', Callable[[str], None]),
('progress', Callable[[Iterable[T]], Iterable[T]]),
])
NULL_PROGRESS_LOGGER = ProgressLogger(lambda x: None, lambda x: x)
| true | true |
1c3397c90b18c260506989d6c1cb6c79112d4026 | 82,161 | py | Python | slack/web/client.py | sydneyq/Coin-the-Cat | 9d24b836941aa9b159d9214f5301e1794bb87c2f | [
"MIT"
] | null | null | null | slack/web/client.py | sydneyq/Coin-the-Cat | 9d24b836941aa9b159d9214f5301e1794bb87c2f | [
"MIT"
] | null | null | null | slack/web/client.py | sydneyq/Coin-the-Cat | 9d24b836941aa9b159d9214f5301e1794bb87c2f | [
"MIT"
] | null | null | null | """A Python module for interacting with Slack's Web API."""
import os
from asyncio import Future
from io import IOBase
from typing import Union, List, Optional, Dict
import slack.errors as e
from slack.web.base_client import BaseClient, SlackResponse
from slack.web.classes.views import View
class WebClient(BaseClien... | 39.768151 | 120 | 0.60082 | import os
from asyncio import Future
from io import IOBase
from typing import Union, List, Optional, Dict
import slack.errors as e
from slack.web.base_client import BaseClient, SlackResponse
from slack.web.classes.views import View
class WebClient(BaseClient):
def admin_apps_approve(
self, *, app_id: st... | true | true |
1c3397cdc024cd5f0e653607da67ecfb3686301f | 916 | py | Python | aalh_iit_churches_002/populate-subject-column.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | aalh_iit_churches_002/populate-subject-column.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | aalh_iit_churches_002/populate-subject-column.py | johndewees/iitmigration | 4dadfbecda719d6e7d60af076a231aedec3c862f | [
"Unlicense"
] | null | null | null | from openpyxl import load_workbook
filename = 'aalh_iit_churches_002.xlsx'
wb = load_workbook(filename)
ws = wb['Metadata Template']
minimumcol = 8
maximumcol = 8
minimumrow = 7
maximumrow = 43
iterationrow = 7
descol = 8
subcol = 9
for row in ws.iter_rows(min_row=minimumrow, min_col=minimumcol, max_... | 33.925926 | 105 | 0.673581 | from openpyxl import load_workbook
filename = 'aalh_iit_churches_002.xlsx'
wb = load_workbook(filename)
ws = wb['Metadata Template']
minimumcol = 8
maximumcol = 8
minimumrow = 7
maximumrow = 43
iterationrow = 7
descol = 8
subcol = 9
for row in ws.iter_rows(min_row=minimumrow, min_col=minimumcol, max_... | true | true |
1c3397e48e30fc936f6d18f9d7a3a6b56c6b794d | 2,551 | py | Python | readchip.py | mpratt14/FT232H-flash | bc542460b2bba966db910d21100a3b351c877919 | [
"MIT"
] | 3 | 2021-02-11T15:26:02.000Z | 2021-07-24T22:03:39.000Z | readchip.py | mpratt14/FT232H-flash | bc542460b2bba966db910d21100a3b351c877919 | [
"MIT"
] | null | null | null | readchip.py | mpratt14/FT232H-flash | bc542460b2bba966db910d21100a3b351c877919 | [
"MIT"
] | null | null | null | import board as FTDI
import busio as Serial
import digitalio as GPIO
#import time
# Variables
block_start = 0
numblocks = 256
sector_start = 0
#numsectors = 16
# Configuration
CS_pin = FTDI.D7
baudrate = 40000000
# Constants
read = 0x03
sector_length = 0x1000
block_sectors = 0x10
sector_pages = 0x10
... | 17.472603 | 107 | 0.653469 | import board as FTDI
import busio as Serial
import digitalio as GPIO
block_start = 0
numblocks = 256
sector_start = 0
CS_pin = FTDI.D7
baudrate = 40000000
read = 0x03
sector_length = 0x1000
block_sectors = 0x10
sector_pages = 0x10
page_start = 0x00
cell = 0x00
FT232H = Serial.SPI(FTDI.SCL... | true | true |
1c3398935e4f1c08d4d352959efa3e27f3ac89e5 | 1,080 | py | Python | filereader.py | lotusronin/EmuMan | decc8e4e3299ed5c52cb699ccdf3d8b1c6113adb | [
"MIT"
] | null | null | null | filereader.py | lotusronin/EmuMan | decc8e4e3299ed5c52cb699ccdf3d8b1c6113adb | [
"MIT"
] | null | null | null | filereader.py | lotusronin/EmuMan | decc8e4e3299ed5c52cb699ccdf3d8b1c6113adb | [
"MIT"
] | null | null | null | # File: filereader.py
import configparser
import os
file_name = os.path.dirname(os.path.abspath(__file__)) + "/config.txt"
print(file_name)
class FileReader:
def read_config(self):
try :
self.config = configparser.ConfigParser()
self.config.readfp(open(file_name))
except IOError:
print("Config... | 20.769231 | 70 | 0.67963 |
import configparser
import os
file_name = os.path.dirname(os.path.abspath(__file__)) + "/config.txt"
print(file_name)
class FileReader:
def read_config(self):
try :
self.config = configparser.ConfigParser()
self.config.readfp(open(file_name))
except IOError:
print("Config file not found.\nMak... | true | true |
1c33991366428f5d52c673c2fea88cb836034b3a | 21,097 | py | Python | sympy/geometry/tests/test_ellipse.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 2 | 2019-06-12T16:15:39.000Z | 2019-10-06T10:40:59.000Z | sympy/geometry/tests/test_ellipse.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 2 | 2017-06-29T14:11:05.000Z | 2022-01-24T09:28:04.000Z | sympy/geometry/tests/test_ellipse.py | CameronKing/sympy | 3295b02c617a10ea8db0a070356cc0ba5a3b5121 | [
"BSD-3-Clause"
] | 1 | 2015-09-18T17:27:16.000Z | 2015-09-18T17:27:16.000Z | from sympy import Rational, S, Symbol, symbols, pi, sqrt, oo, Point2D, Segment2D, I
from sympy.core.compatibility import range
from sympy.geometry import (Circle, Ellipse, GeometryError, Line, Point, Polygon, Ray, RegularPolygon, Segment,
Triangle, intersection)
from sympy.utilities.pytest i... | 41.693676 | 111 | 0.582026 | from sympy import Rational, S, Symbol, symbols, pi, sqrt, oo, Point2D, Segment2D, I
from sympy.core.compatibility import range
from sympy.geometry import (Circle, Ellipse, GeometryError, Line, Point, Polygon, Ray, RegularPolygon, Segment,
Triangle, intersection)
from sympy.utilities.pytest i... | true | true |
1c33996306856d8ab8db44dd118d4cfa6add1638 | 8,846 | py | Python | tools/sqlmap/plugins/dbms/maxdb/enumeration.py | glaudsonml/kurgan-ai | c0ad4450f9fb2004f35b8a0201bfe894e01adc8f | [
"Apache-2.0"
] | 35 | 2017-05-22T14:42:01.000Z | 2020-09-07T21:24:41.000Z | tools/sqlmap/plugins/dbms/maxdb/enumeration.py | tmaxter/kurgan-ai | c0ad4450f9fb2004f35b8a0201bfe894e01adc8f | [
"Apache-2.0"
] | null | null | null | tools/sqlmap/plugins/dbms/maxdb/enumeration.py | tmaxter/kurgan-ai | c0ad4450f9fb2004f35b8a0201bfe894e01adc8f | [
"Apache-2.0"
] | 5 | 2017-12-19T03:36:54.000Z | 2021-04-14T18:05:08.000Z | #!/usr/bin/env python
"""
Copyright (c) 2006-2016 sqlmap developers (http://sqlmap.org/)
See the file 'doc/COPYING' for copying permission
"""
from lib.core.common import Backend
from lib.core.common import randomStr
from lib.core.common import readInput
from lib.core.common import safeSQLIdentificatorNaming
from lib... | 37.168067 | 193 | 0.587723 |
from lib.core.common import Backend
from lib.core.common import randomStr
from lib.core.common import readInput
from lib.core.common import safeSQLIdentificatorNaming
from lib.core.common import unsafeSQLIdentificatorNaming
from lib.core.data import conf
from lib.core.data import kb
from lib.core.data import logger
... | true | true |
1c339b096f870231440fe4df89c70a59a71d8ee8 | 2,741 | py | Python | PSO.py | plenoi/EvoloPy | 7c943925b9a73ad671735493ce281b67d178dc7c | [
"Apache-2.0"
] | null | null | null | PSO.py | plenoi/EvoloPy | 7c943925b9a73ad671735493ce281b67d178dc7c | [
"Apache-2.0"
] | null | null | null | PSO.py | plenoi/EvoloPy | 7c943925b9a73ad671735493ce281b67d178dc7c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun May 15 22:37:00 2016
@author: Hossam Faris
"""
import random
import numpy
from colorama import Fore, Back, Style
from solution import solution
import time
def PSO(objf,lb,ub,dim,PopSize,iters):
# PSO parameters
# dim=30
# iters=200
Vmax=6
# PopSi... | 24.256637 | 92 | 0.484495 |
import random
import numpy
from colorama import Fore, Back, Style
from solution import solution
import time
def PSO(objf,lb,ub,dim,PopSize,iters):
Vmax=6
wMin=0.2
c1=2
c2=2
s=solution()
if not isinstance(lb, list):
lb = [lb] * dim
if not isinstance(ub, list):
... | true | true |
1c339ba67336286373b0d53c302814b598d69ff3 | 199 | py | Python | src/dgl_gcn/gcn/__init__.py | zawaki/nara_revision | 28bb42f7ca3a768075748d258c405addc7b28c31 | [
"MIT"
] | null | null | null | src/dgl_gcn/gcn/__init__.py | zawaki/nara_revision | 28bb42f7ca3a768075748d258c405addc7b28c31 | [
"MIT"
] | null | null | null | src/dgl_gcn/gcn/__init__.py | zawaki/nara_revision | 28bb42f7ca3a768075748d258c405addc7b28c31 | [
"MIT"
] | null | null | null | from gcn.aggregators import *
from gcn.model import *
from gcn.supervised_train import *
from gcn.unsupervised_train import *
from gcn.random_walk_train import *
from gcn.tensorboard_writer import *
| 28.428571 | 36 | 0.819095 | from gcn.aggregators import *
from gcn.model import *
from gcn.supervised_train import *
from gcn.unsupervised_train import *
from gcn.random_walk_train import *
from gcn.tensorboard_writer import *
| true | true |
1c339c111d61c125ec834d29e84559a73518fcde | 8,544 | py | Python | day-28-pomodoro-and-dammits/dammits.py | jskolnicki/100-Days-of-Python | 146af2b73914a525121f1c91737abd4857dc2f89 | [
"CNRI-Python"
] | null | null | null | day-28-pomodoro-and-dammits/dammits.py | jskolnicki/100-Days-of-Python | 146af2b73914a525121f1c91737abd4857dc2f89 | [
"CNRI-Python"
] | null | null | null | day-28-pomodoro-and-dammits/dammits.py | jskolnicki/100-Days-of-Python | 146af2b73914a525121f1c91737abd4857dc2f89 | [
"CNRI-Python"
] | null | null | null | import tkinter
import os
import pandas as pd
import datetime
import csv
os.chdir(os.path.dirname(__file__))
window = tkinter.Tk()
window.title("Dammit Counter")
#variables
dammits_db = pd.read_csv("dammits.csv")
dammits_db['Week'] = pd.to_datetime(dammits_db['Week'])
today = datetime.date.today()
today = today + ... | 37.473684 | 199 | 0.684457 | import tkinter
import os
import pandas as pd
import datetime
import csv
os.chdir(os.path.dirname(__file__))
window = tkinter.Tk()
window.title("Dammit Counter")
dammits_db = pd.read_csv("dammits.csv")
dammits_db['Week'] = pd.to_datetime(dammits_db['Week'])
today = datetime.date.today()
today = today + datetime.t... | true | true |
1c339c4341e326d02b8fdd14888075414ef08e24 | 9,385 | py | Python | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/learn/models/_psp_utils.py | moazzamwaheed2017/carparkapi | e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a | [
"MIT"
] | null | null | null | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/learn/models/_psp_utils.py | moazzamwaheed2017/carparkapi | e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a | [
"MIT"
] | 9 | 2020-02-03T15:50:10.000Z | 2022-03-02T07:11:34.000Z | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/learn/models/_psp_utils.py | moazzamwaheed2017/carparkapi | e52ae1b2aed47321ce9d22ba6cd0b85fa60a417a | [
"MIT"
] | null | null | null | # MIT License
# Copyright (c) 2019 Hengshuang Zhao
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge... | 40.106838 | 156 | 0.636015 |
import torch
import warnings
import PIL
import numpy as np
from pdb import set_trace
import torch.nn.functional as F
import torch.nn as nn
import torch
from torchvision import models
import math
from fastai.callbacks.hooks import hook_output
from fastai.vision.learner import create_body
from f... | true | true |
1c339d6fee9e1e9192e798a12bd4ddbd28d7495c | 1,728 | py | Python | e2e_testing/torchscript/xfail_sets.py | edrutte/torch-mlir | 87d1af699136452d6f35ff493366d7c872c232ac | [
"Apache-2.0"
] | null | null | null | e2e_testing/torchscript/xfail_sets.py | edrutte/torch-mlir | 87d1af699136452d6f35ff493366d7c872c232ac | [
"Apache-2.0"
] | null | null | null | e2e_testing/torchscript/xfail_sets.py | edrutte/torch-mlir | 87d1af699136452d6f35ff493366d7c872c232ac | [
"Apache-2.0"
] | null | null | null | # Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
# This file describes the sets of tests expected to fail for eac... | 40.186047 | 92 | 0.775463 |
COMMON_TORCH_MLIR_LOWERING_XFAILS = {
"QuantizedMLP_basic",
"IouOfModule_basic",
}
SIZE_ZERO_TENSOR_XFAILS = {
"SliceEndSleStartModule_basic",
"SliceStartEqEndModule_basic",
"SliceOutOfUpperBoundIndexModule_basic",
}
REFBACKEND_XFAIL_SET = set.union(COMMON_TORCH_MLIR_LOWERING_XFAILS,... | true | true |
1c339d79aaf99ccbb8d865aaf4bbf5c885968a6c | 32,566 | py | Python | python/cudf/cudf/core/reshape.py | BenikaHall/cudf | d3f5add210293a4832dafb85f04cbb73149b9d54 | [
"Apache-2.0"
] | null | null | null | python/cudf/cudf/core/reshape.py | BenikaHall/cudf | d3f5add210293a4832dafb85f04cbb73149b9d54 | [
"Apache-2.0"
] | 1 | 2021-02-23T18:05:36.000Z | 2021-02-23T18:05:36.000Z | python/cudf/cudf/core/reshape.py | BenikaHall/cudf | d3f5add210293a4832dafb85f04cbb73149b9d54 | [
"Apache-2.0"
] | 1 | 2020-11-10T03:19:16.000Z | 2020-11-10T03:19:16.000Z | # Copyright (c) 2018-2021, NVIDIA CORPORATION.
import itertools
import numpy as np
import pandas as pd
import cudf
_axis_map = {0: 0, 1: 1, "index": 0, "columns": 1}
def _align_objs(objs, how="outer"):
"""Align a set of Series or Dataframe objects.
Parameters
----------
objs : list of DataFrame, ... | 30.578404 | 79 | 0.543665 |
import itertools
import numpy as np
import pandas as pd
import cudf
_axis_map = {0: 0, 1: 1, "index": 0, "columns": 1}
def _align_objs(objs, how="outer"):
i_objs = iter(objs)
first = next(i_objs)
not_matching_index = any(
not first.index.equals(rest.index) for rest in i_objs
... | true | true |
1c339dfc6796a5e6a419380193c48467dd1213ae | 527 | py | Python | mlperf/clustering/clustering_dbscan.py | xinyin1990/ml-perf | a5367b41dffe188b3e86fa3e2fcf975bfcd1afb2 | [
"MIT"
] | null | null | null | mlperf/clustering/clustering_dbscan.py | xinyin1990/ml-perf | a5367b41dffe188b3e86fa3e2fcf975bfcd1afb2 | [
"MIT"
] | null | null | null | mlperf/clustering/clustering_dbscan.py | xinyin1990/ml-perf | a5367b41dffe188b3e86fa3e2fcf975bfcd1afb2 | [
"MIT"
] | null | null | null | # This file just defines some values needed for generating tables
# cf. Xin for exact implementation
# Author: Vincenzo Musco (http://www.vmusco.com)
import mlperf.clustering.dbscan.run_base as run
from mlperf.clustering.main_clustering import ClusterPipeline
from mlperf.tools.static import DBSCAN_ALGO, INCLUDED_ALGO
... | 29.277778 | 65 | 0.795066 |
import mlperf.clustering.dbscan.run_base as run
from mlperf.clustering.main_clustering import ClusterPipeline
from mlperf.tools.static import DBSCAN_ALGO, INCLUDED_ALGO
RUN_INFO_BASE = DBSCAN_ALGO
AVAIL_ALGOS = INCLUDED_ALGO[RUN_INFO_BASE]
class DBSCAN(ClusterPipeline):
def __init__(self):
super().__... | true | true |
1c339e6fcb4a63d8ddb674722578078f4d4353c7 | 2,689 | py | Python | DAAQS/utils/preprocess.py | esowc/DAAQS | 141b4d97edb319ab67d9f42a1aa54a4555829de2 | [
"MIT"
] | 2 | 2020-07-29T13:23:42.000Z | 2020-10-24T08:48:13.000Z | DAAQS/utils/preprocess.py | esowc/DAAQS | 141b4d97edb319ab67d9f42a1aa54a4555829de2 | [
"MIT"
] | null | null | null | DAAQS/utils/preprocess.py | esowc/DAAQS | 141b4d97edb319ab67d9f42a1aa54a4555829de2 | [
"MIT"
] | 1 | 2022-03-10T16:12:09.000Z | 2022-03-10T16:12:09.000Z | import numpy as np
from DAAQS.utils.misc import index_to_center
def temporal_average(c_data, o_data, index_lat, index_lon):
## Ideally CAMS data is time_step x 3 x 3
## And openaq_data is list of all stations in that 3x3 grid
## CAMS Data
c_grid = c_data[:,index_lat-1:index_lat+2,index_lon-1:index_... | 39.544118 | 179 | 0.579769 | import numpy as np
from DAAQS.utils.misc import index_to_center
def temporal_average(c_data, o_data, index_lat, index_lon):
in range(8)]
for time in range(c_grid.shape[0]):
index_time = time%8
cams_list[index_time].append(np.ravel(c_grid[time,:,:]))
cams_stack = np.stack(cams_list)
... | true | true |
1c339e8dd4fb94aed0b5e311ce5c943fc6ed1452 | 529 | py | Python | bookmarks/services/tags.py | mindovermiles262/linkding | 258c47ee7e7834f466e88ce379d5c2b11d461887 | [
"MIT"
] | 1 | 2019-12-26T18:50:21.000Z | 2019-12-26T18:50:21.000Z | bookmarks/services/tags.py | mindovermiles262/linkding | 258c47ee7e7834f466e88ce379d5c2b11d461887 | [
"MIT"
] | null | null | null | bookmarks/services/tags.py | mindovermiles262/linkding | 258c47ee7e7834f466e88ce379d5c2b11d461887 | [
"MIT"
] | null | null | null | from typing import List
from django.contrib.auth.models import User
from django.utils import timezone
from bookmarks.models import Tag
def get_or_create_tags(tag_names: List[str], user: User):
return [get_or_create_tag(tag_name, user) for tag_name in tag_names]
def get_or_create_tag(name: str, user: User):
... | 25.190476 | 72 | 0.706994 | from typing import List
from django.contrib.auth.models import User
from django.utils import timezone
from bookmarks.models import Tag
def get_or_create_tags(tag_names: List[str], user: User):
return [get_or_create_tag(tag_name, user) for tag_name in tag_names]
def get_or_create_tag(name: str, user: User):
... | true | true |
1c339ec89326bd780667ec2cc34b9f8dae8bd876 | 7,177 | py | Python | research/object_detection/predictors/heads/keras_class_head_test.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 153 | 2020-10-25T13:58:04.000Z | 2022-03-07T06:01:54.000Z | research/object_detection/predictors/heads/keras_class_head_test.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 12 | 2020-03-24T17:53:50.000Z | 2022-03-12T00:05:19.000Z | research/object_detection/predictors/heads/keras_class_head_test.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 23 | 2020-10-25T14:44:47.000Z | 2021-03-31T02:12:13.000Z | # 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... | 37.380208 | 80 | 0.704751 |
import tensorflow as tf
from google.protobuf import text_format
from object_detection.builders import hyperparams_builder
from object_detection.predictors.heads import keras_class_head
from object_detection.protos import hyperparams_pb2
from object_detection.utils import test_case
class ConvolutionalK... | true | true |
1c339f26fe988d3d0d3c50108569327ce6e8ea57 | 342 | py | Python | employees/serializers.py | rrobles9112/django-rest-framework-crud | 88f8e881fd520493beb480cf15e5079db5e26f25 | [
"MIT"
] | null | null | null | employees/serializers.py | rrobles9112/django-rest-framework-crud | 88f8e881fd520493beb480cf15e5079db5e26f25 | [
"MIT"
] | null | null | null | employees/serializers.py | rrobles9112/django-rest-framework-crud | 88f8e881fd520493beb480cf15e5079db5e26f25 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from .models import Employees
from django.contrib.auth.models import User
class EmployeeSerializer(serializers.ModelSerializer): # create class to serializer model
class Meta:
model = Employees
fields = ('employee_code', 'salary_per_hour', 'start_data',... | 26.307692 | 90 | 0.736842 | from rest_framework import serializers
from .models import Employees
from django.contrib.auth.models import User
class EmployeeSerializer(serializers.ModelSerializer):
class Meta:
model = Employees
fields = ('employee_code', 'salary_per_hour', 'start_data', 'departament')
| true | true |
1c339f77114e97021522ac4ae64937cd92a4e82f | 29,153 | py | Python | salt/utils/master.py | amaclean199/salt | 8aaac011b4616e3c9e74a1daafb4a2146a5a430f | [
"Apache-2.0"
] | null | null | null | salt/utils/master.py | amaclean199/salt | 8aaac011b4616e3c9e74a1daafb4a2146a5a430f | [
"Apache-2.0"
] | null | null | null | salt/utils/master.py | amaclean199/salt | 8aaac011b4616e3c9e74a1daafb4a2146a5a430f | [
"Apache-2.0"
] | 1 | 2019-06-10T17:42:31.000Z | 2019-06-10T17:42:31.000Z | # -*- coding: utf-8 -*-
'''
salt.utils.master
-----------------
Utilities that can only be used on a salt master.
'''
# Import python libs
from __future__ import absolute_import, unicode_literals
import os
import logging
import signal
from threading import Thread, Event
# Import salt libs
import salt.lo... | 39.663946 | 142 | 0.58759 |
from __future__ import absolute_import, unicode_literals
import os
import logging
import signal
from threading import Thread, Event
import salt.log
import salt.cache
import salt.client
import salt.pillar
import salt.utils.atomicfile
import salt.utils.files
import salt.utils.minions
import salt.utils.platform
impor... | true | true |
1c33a0ae9bb2ef8611e2ccd924393747b61b9446 | 7,505 | py | Python | create_RU_dataset/RU_doc2vec_baseline.py | OlegDurandin/AuthorStyle | 75288df4ad0f88677645c3af00fbd7c0f7f58822 | [
"MIT"
] | 3 | 2019-09-29T17:10:43.000Z | 2020-09-21T09:58:48.000Z | create_RU_dataset/RU_doc2vec_baseline.py | OlegDurandin/AuthorStyle | 75288df4ad0f88677645c3af00fbd7c0f7f58822 | [
"MIT"
] | 2 | 2019-07-14T11:14:48.000Z | 2019-07-14T11:16:54.000Z | create_RU_dataset/RU_doc2vec_baseline.py | OlegDurandin/AuthorStyle | 75288df4ad0f88677645c3af00fbd7c0f7f58822 | [
"MIT"
] | null | null | null | from gensim.models import Doc2Vec
import pickle
import os
from src.settings import PATH_TO_OUTPUT_FOLDER
from tqdm import tqdm
def save_data_from_doc2vec(filename, model,
authors_list, novels_list):
data_csv = open(filename + '.csv', 'w', encoding='utf-8')
print('Save file: {}'.form... | 56.007463 | 139 | 0.630513 | from gensim.models import Doc2Vec
import pickle
import os
from src.settings import PATH_TO_OUTPUT_FOLDER
from tqdm import tqdm
def save_data_from_doc2vec(filename, model,
authors_list, novels_list):
data_csv = open(filename + '.csv', 'w', encoding='utf-8')
print('Save file: {}'.form... | true | true |
1c33a2588ff9ca2ac64905835a1581d4a124f5e7 | 220 | py | Python | Modulo-um/Exercicio15.py | Ribinha740/Exercicios-python | c2af02fedd2f72445abedf3598cb07c74fad326f | [
"MIT"
] | null | null | null | Modulo-um/Exercicio15.py | Ribinha740/Exercicios-python | c2af02fedd2f72445abedf3598cb07c74fad326f | [
"MIT"
] | null | null | null | Modulo-um/Exercicio15.py | Ribinha740/Exercicios-python | c2af02fedd2f72445abedf3598cb07c74fad326f | [
"MIT"
] | null | null | null | print('=========DESAFIO15=========')
dias = int(input('Quanto Dias o Carro Foi Alugados? '))
km = float(input('Quantos KM Rodados? '))
pago = (dias * 60) + (km * 0.15)
print('O total a pagar é de R${:.2f}'.format(pago))
| 36.666667 | 55 | 0.586364 | print('=========DESAFIO15=========')
dias = int(input('Quanto Dias o Carro Foi Alugados? '))
km = float(input('Quantos KM Rodados? '))
pago = (dias * 60) + (km * 0.15)
print('O total a pagar é de R${:.2f}'.format(pago))
| true | true |
1c33a2ecdebd464746f4c1f02c99f8c5789fd71c | 30,632 | py | Python | .deprecated/mod_autoaim_extended/mod_autoaim_extended310.py | angelsoft1/spoter-mods | cf7358f7a51930ecb871c5b9cae0e0a1712d2b06 | [
"WTFPL"
] | 150 | 2015-11-07T12:58:06.000Z | 2022-03-19T17:52:34.000Z | .deprecated/mod_autoaim_extended/mod_autoaim_extended310.py | angelsoft1/spoter-mods | cf7358f7a51930ecb871c5b9cae0e0a1712d2b06 | [
"WTFPL"
] | 62 | 2015-12-17T02:11:18.000Z | 2021-02-07T11:37:22.000Z | .deprecated/mod_autoaim_extended/mod_autoaim_extended310.py | angelsoft1/spoter-mods | cf7358f7a51930ecb871c5b9cae0e0a1712d2b06 | [
"WTFPL"
] | 97 | 2015-11-10T18:43:02.000Z | 2022-01-28T20:58:23.000Z | # -*- coding: utf-8 -*-
import os
import re
import json
import codecs
import datetime
import threading
import urllib
import urllib2
import math
import BigWorld
import GUI
import Vehicle
import Math
from constants import AUTH_REALM
from Avatar import PlayerAvatar
from AvatarInputHandler import cameras
from BattleReplay ... | 39.271795 | 226 | 0.57231 |
import os
import re
import json
import codecs
import datetime
import threading
import urllib
import urllib2
import math
import BigWorld
import GUI
import Vehicle
import Math
from constants import AUTH_REALM
from Avatar import PlayerAvatar
from AvatarInputHandler import cameras
from BattleReplay import BattleReplay
fro... | false | true |
1c33a3a4cbb41866a0f79ea7c4789a698fa13c56 | 87,240 | py | Python | test/functional/feature_taproot.py | quantumedusa/bitcoin | 9fb050720b88f4448547c49841c0c01c92370934 | [
"MIT"
] | 20 | 2021-02-24T18:57:12.000Z | 2021-06-27T01:20:43.000Z | test/functional/feature_taproot.py | quantumedusa/bitcoin | 9fb050720b88f4448547c49841c0c01c92370934 | [
"MIT"
] | 6 | 2021-04-08T23:50:08.000Z | 2021-12-31T10:53:38.000Z | test/functional/feature_taproot.py | quantumedusa/bitcoin | 9fb050720b88f4448547c49841c0c01c92370934 | [
"MIT"
] | 4 | 2021-03-14T13:38:48.000Z | 2021-06-18T17:11:05.000Z | #!/usr/bin/env python3
# Copyright (c) 2019-2020 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
# Test Taproot softfork (BIPs 340-342)
from test_framework.blocktools import (
create_coinbase,
c... | 58.866397 | 363 | 0.670128 |
from test_framework.blocktools import (
create_coinbase,
create_block,
add_witness_commitment,
MAX_BLOCK_SIGOPS_WEIGHT,
NORMAL_GBT_REQUEST_PARAMS,
WITNESS_SCALE_FACTOR,
)
from test_framework.messages import (
COutPoint,
CTransaction,
CTxIn,
CTxInWitness,
CTxOut,
ToH... | true | true |
1c33a470cd3d84b5a955d61b336be1ec9d152d1e | 3,254 | py | Python | utils/tests/test_overpass.py | posm/osm-export-tool2 | 5a1f4096f1afbe7420363376e6e1e8d42e47e1d1 | [
"BSD-3-Clause"
] | 2 | 2018-08-31T18:30:28.000Z | 2018-11-27T01:50:06.000Z | utils/tests/test_overpass.py | posm/osm-export-tool2 | 5a1f4096f1afbe7420363376e6e1e8d42e47e1d1 | [
"BSD-3-Clause"
] | null | null | null | utils/tests/test_overpass.py | posm/osm-export-tool2 | 5a1f4096f1afbe7420363376e6e1e8d42e47e1d1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import os
from unittest import skip
import mock
from mock import patch
from django.conf import settings
from django.contrib.auth.models import Group, User
from django.contrib.gis.geos import GEOSGeometry, Polygon
from django.test import TestCase
from jobs import presets
from jo... | 36.561798 | 102 | 0.592502 |
import logging
import os
from unittest import skip
import mock
from mock import patch
from django.conf import settings
from django.contrib.auth.models import Group, User
from django.contrib.gis.geos import GEOSGeometry, Polygon
from django.test import TestCase
from jobs import presets
from jobs.models import Export... | true | true |
1c33a523912e848401b2771ef8932cd156444823 | 7,439 | py | Python | src/headers/__init__.py | joniumGit/headers | 0c0e0564445810d4408cafd6cd66ec0e5952179c | [
"MIT"
] | null | null | null | src/headers/__init__.py | joniumGit/headers | 0c0e0564445810d4408cafd6cd66ec0e5952179c | [
"MIT"
] | null | null | null | src/headers/__init__.py | joniumGit/headers | 0c0e0564445810d4408cafd6cd66ec0e5952179c | [
"MIT"
] | null | null | null | A_IM = "A-IM"
ACCEPT = "Accept"
ACCEPT_ADDITIONS = "Accept-Additions"
ACCEPT_CH = "Accept-CH"
ACCEPT_CHARSET = "Accept-Charset"
ACCEPT_DATETIME = "Accept-Datetime"
ACCEPT_ENCODING = "Accept-Encoding"
ACCEPT_FEATURES = "Accept-Features"
ACCEPT_LANGUAGE = "Accept-Language"
ACCEPT_PATCH = "Accept-Patch"
ACCEPT_POST = "Acc... | 31.521186 | 85 | 0.777524 | A_IM = "A-IM"
ACCEPT = "Accept"
ACCEPT_ADDITIONS = "Accept-Additions"
ACCEPT_CH = "Accept-CH"
ACCEPT_CHARSET = "Accept-Charset"
ACCEPT_DATETIME = "Accept-Datetime"
ACCEPT_ENCODING = "Accept-Encoding"
ACCEPT_FEATURES = "Accept-Features"
ACCEPT_LANGUAGE = "Accept-Language"
ACCEPT_PATCH = "Accept-Patch"
ACCEPT_POST = "Acc... | true | true |
1c33a5b52ee4f37831615da72e58cbf8b4b8979e | 1,840 | py | Python | commander/thirdparty/covertutils/shells/subshells/controlsubshell.py | how2how/ToyHome | 4457b1d28e21ed6fd4ab980a0f7fed345c570ae3 | [
"Apache-2.0"
] | 1 | 2020-07-26T01:08:30.000Z | 2020-07-26T01:08:30.000Z | commander/thirdparty/covertutils/shells/subshells/controlsubshell.py | how2how/ToyHome | 4457b1d28e21ed6fd4ab980a0f7fed345c570ae3 | [
"Apache-2.0"
] | null | null | null | commander/thirdparty/covertutils/shells/subshells/controlsubshell.py | how2how/ToyHome | 4457b1d28e21ed6fd4ab980a0f7fed345c570ae3 | [
"Apache-2.0"
] | null | null | null | import json
# from covertutils.payloads.generic.control import Commands as control_commands
from covertutils.shells.subshells import SimpleSubShell
Commands = {
'reset' : 'RST',
'identity' : 'ID',
'sysinfo' : 'SI',
'kill' : 'KI',
'mute' : 'MU',
'unmute' : 'UM',
'nuke' : 'NK',
}
def message_handle(message, in... | 22.439024 | 130 | 0.668478 | import json
from covertutils.shells.subshells import SimpleSubShell
Commands = {
'reset' : 'RST',
'identity' : 'ID',
'sysinfo' : 'SI',
'kill' : 'KI',
'mute' : 'MU',
'unmute' : 'UM',
'nuke' : 'NK',
}
def message_handle(message, instance) :
if instance.sysinfo :
sysinfo = message.split('+')
instan... | true | true |
1c33a5e83ba70a5103beb35d3ebdb03657042976 | 46,111 | py | Python | digits/model/images/classification/test_views.py | gheinrich/DIGITS-GAN | 63d388095b4f2a2aa6f3b0f6988e01b2c78c3877 | [
"BSD-3-Clause"
] | 111 | 2017-04-21T06:03:04.000Z | 2021-04-26T06:36:54.000Z | digits/model/images/classification/test_views.py | gheinrich/DIGITS-GAN | 63d388095b4f2a2aa6f3b0f6988e01b2c78c3877 | [
"BSD-3-Clause"
] | 6 | 2017-05-15T22:02:49.000Z | 2018-03-16T10:25:26.000Z | digits/model/images/classification/test_views.py | gheinrich/DIGITS-GAN | 63d388095b4f2a2aa6f3b0f6988e01b2c78c3877 | [
"BSD-3-Clause"
] | 40 | 2017-04-21T07:04:16.000Z | 2019-11-14T14:20:32.000Z | # Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
import itertools
import json
import os
import shutil
import tempfile
import time
import unittest
# Find the best implementation available
try:
from cStringIO import StringIO
except ImportError:
from Str... | 33.413768 | 117 | 0.61031 |
from __future__ import absolute_import
import itertools
import json
import os
import shutil
import tempfile
import time
import unittest
try:
from cStringIO import StringIO
except ImportError:
from StringIO import StringIO
from bs4 import BeautifulSoup
from digits.config import config_value
import digits.d... | false | true |
1c33a6f0962c8eedbd246029b47627afbe7bdab3 | 1,040 | py | Python | lmgtfy/helpers.py | opendata/LMGTDFY | 5440d398dd3bdefbdbe5c4f075a0132e6ec9d9c0 | [
"MIT"
] | 120 | 2015-02-18T17:02:09.000Z | 2021-09-02T22:42:20.000Z | lmgtfy/helpers.py | opendata/LMGTDFY | 5440d398dd3bdefbdbe5c4f075a0132e6ec9d9c0 | [
"MIT"
] | 34 | 2015-02-12T16:53:47.000Z | 2016-05-04T20:17:09.000Z | lmgtfy/helpers.py | opendata/LMGTDFY | 5440d398dd3bdefbdbe5c4f075a0132e6ec9d9c0 | [
"MIT"
] | 14 | 2015-02-19T16:39:29.000Z | 2019-01-21T02:57:02.000Z | from datetime import datetime, timedelta
from crispy_forms.layout import Submit
from lmgtfy.models import Domain, DomainSearch, TLD
from lmgtfy.tasks import search_bing_task
class CleanSubmitButton(Submit):
field_classes = 'btn btn-default'
def search_bing(domain):
domain_db_record, _created = Domain.object... | 32.5 | 91 | 0.735577 | from datetime import datetime, timedelta
from crispy_forms.layout import Submit
from lmgtfy.models import Domain, DomainSearch, TLD
from lmgtfy.tasks import search_bing_task
class CleanSubmitButton(Submit):
field_classes = 'btn btn-default'
def search_bing(domain):
domain_db_record, _created = Domain.object... | true | true |
1c33a846e2842f65c339d069dc91f7a42d82d6da | 7,410 | py | Python | LaU-reg/experiments/segmentation/option.py | HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation | 83822e86570bbff4ca721d80089b5d82f1958852 | [
"BSD-2-Clause"
] | 51 | 2019-11-14T01:48:24.000Z | 2021-11-09T02:42:22.000Z | LaU-reg/experiments/segmentation/option.py | HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation | 83822e86570bbff4ca721d80089b5d82f1958852 | [
"BSD-2-Clause"
] | 4 | 2019-11-15T10:14:10.000Z | 2020-03-17T12:14:50.000Z | LaU-reg/experiments/segmentation/option.py | HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation | 83822e86570bbff4ca721d80089b5d82f1958852 | [
"BSD-2-Clause"
] | 9 | 2019-11-14T12:39:03.000Z | 2020-03-03T08:27:19.000Z | ###########################################################################
# Created by: Hang Zhang
# Email: zhang.hang@rutgers.edu
# Copyright (c) 2017
###########################################################################
import argparse
import torch
class Options():
def __init__(self):
parser =... | 52.928571 | 83 | 0.521457 | ranch-input-channel', type=int, default=512,
help='input channel number in LaU')
parser.add_argument('--category', type=int, default=59,
help='category number')
parser.add_argument('--downsampled-input-size', type=int, default=60,
... | true | true |
1c33a85214b18127e3cd53a3c1cb7390dd0fa6e1 | 1,566 | py | Python | flags/migrations/0003_rename_variant_classification.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 5 | 2021-01-14T03:34:42.000Z | 2022-03-07T15:34:18.000Z | flags/migrations/0003_rename_variant_classification.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 551 | 2020-10-19T00:02:38.000Z | 2022-03-30T02:18:22.000Z | flags/migrations/0003_rename_variant_classification.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | null | null | null | # Generated by Django 3.1 on 2020-10-01 07:38
from django.db import migrations
def rename_variant_classification(apps, schema_editor):
FlagTypeContext = apps.get_model("flags", "FlagTypeContext")
FlagType = apps.get_model("flags", "FlagType")
FlagTypeResolution = apps.get_model("flags", "FlagTypeResoluti... | 40.153846 | 119 | 0.742656 |
from django.db import migrations
def rename_variant_classification(apps, schema_editor):
FlagTypeContext = apps.get_model("flags", "FlagTypeContext")
FlagType = apps.get_model("flags", "FlagType")
FlagTypeResolution = apps.get_model("flags", "FlagTypeResolution")
Flag = apps.get_model("flags", "Flag... | true | true |
1c33aa489ef1547a0506375204b794ad0c202eb6 | 53,478 | py | Python | desicos/xlutils/tests/test_filter.py | saullocastro/desicos | 922db8ac4fb0fb4d09df18ce2a14011f207f6fa8 | [
"BSD-3-Clause"
] | 1 | 2020-10-22T22:15:24.000Z | 2020-10-22T22:15:24.000Z | desicos/xlutils/tests/test_filter.py | saullocastro/desicos | 922db8ac4fb0fb4d09df18ce2a14011f207f6fa8 | [
"BSD-3-Clause"
] | 1 | 2020-10-09T12:42:02.000Z | 2020-10-09T12:42:02.000Z | desicos/xlutils/tests/test_filter.py | saullocastro/desicos | 922db8ac4fb0fb4d09df18ce2a14011f207f6fa8 | [
"BSD-3-Clause"
] | 2 | 2020-07-14T07:45:31.000Z | 2020-12-29T00:22:41.000Z | from __future__ import with_statement
# Copyright (c) 2008-2012 Simplistix Ltd
#
# This Software is released under the MIT License:
# http://www.opensource.org/licenses/mit-license.html
# See license.txt for more details.
from mock import Mock
from StringIO import StringIO
from tempfile import TemporaryFile
from test... | 34.975801 | 104 | 0.486985 | from __future__ import with_statement
from mock import Mock
from StringIO import StringIO
from tempfile import TemporaryFile
from testfixtures import (compare, Comparison as C, replace, log_capture,
ShouldRaise, tempdir)
from unittest import TestSuite,TestCase,makeSuite
from desicos.xlrd import (open_wor... | false | true |
1c33ac662c0ee6f1d7ca9b77490a9526ccbec4a6 | 3,049 | py | Python | authliboclc/refreshtoken.py | pybrarian/oclc-auth-python | fbc6d396d0d8005dbe29d3c6636d44f02f0d8cd0 | [
"Apache-2.0"
] | 20 | 2015-04-08T14:55:32.000Z | 2022-03-28T14:40:17.000Z | authliboclc/refreshtoken.py | pybrarian/oclc-auth-python | fbc6d396d0d8005dbe29d3c6636d44f02f0d8cd0 | [
"Apache-2.0"
] | 4 | 2016-06-16T13:39:48.000Z | 2019-06-04T14:51:08.000Z | authliboclc/refreshtoken.py | pybrarian/oclc-auth-python | fbc6d396d0d8005dbe29d3c6636d44f02f0d8cd0 | [
"Apache-2.0"
] | 5 | 2016-10-12T19:22:32.000Z | 2019-02-27T21:26:43.000Z | # -*- coding: utf-8 -*-
###############################################################################
# Copyright 2014 OCLC
#
# 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.a... | 34.258427 | 120 | 0.642834 | true | true | |
1c33aca6bacea47c9cb4f5802b964a798bf9e017 | 15,870 | py | Python | twill/browser.py | codesprinters/twillmanager | 2151e7a3dd1382f292a5473591a8498180baf168 | [
"BSD-3-Clause"
] | 1 | 2015-05-18T02:05:20.000Z | 2015-05-18T02:05:20.000Z | twill/browser.py | codesprinters/twillmanager | 2151e7a3dd1382f292a5473591a8498180baf168 | [
"BSD-3-Clause"
] | null | null | null | twill/browser.py | codesprinters/twillmanager | 2151e7a3dd1382f292a5473591a8498180baf168 | [
"BSD-3-Clause"
] | null | null | null | """
Implements TwillBrowser, a simple stateful wrapper for mechanize.Browser.
See _browser.py for mechanize code.
"""
OUT=None
# Python imports
import re
# wwwsearch imports
import _mechanize_dist as mechanize
from _mechanize_dist import BrowserStateError, LinkNotFoundError, ClientForm
# twill package imports
from... | 28.854545 | 80 | 0.528796 | """
Implements TwillBrowser, a simple stateful wrapper for mechanize.Browser.
See _browser.py for mechanize code.
"""
OUT=None
import re
import _mechanize_dist as mechanize
from _mechanize_dist import BrowserStateError, LinkNotFoundError, ClientForm
from _browser import PatchedMechanizeBrowser
from utils import... | false | true |
1c33ad31f9732263899e11549699fa7de9573418 | 29,468 | py | Python | tests/sentry/receivers/test_featureadoption.py | learninto/sentry | 4f9f564841498b3af49c1677d6b61f3e47b01923 | [
"BSD-3-Clause"
] | 1 | 2019-10-17T17:46:16.000Z | 2019-10-17T17:46:16.000Z | tests/sentry/receivers/test_featureadoption.py | learninto/sentry | 4f9f564841498b3af49c1677d6b61f3e47b01923 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/receivers/test_featureadoption.py | learninto/sentry | 4f9f564841498b3af49c1677d6b61f3e47b01923 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
import json
from django.utils import timezone
from sentry.models import FeatureAdoption, GroupAssignee, GroupTombstone, Rule
from sentry.plugins import IssueTrackingPlugin2, NotificationPlugin
from sentry.signals import (
alert_rule_created,
event_processed,
first_ev... | 43.335294 | 324 | 0.591794 | from __future__ import absolute_import
import json
from django.utils import timezone
from sentry.models import FeatureAdoption, GroupAssignee, GroupTombstone, Rule
from sentry.plugins import IssueTrackingPlugin2, NotificationPlugin
from sentry.signals import (
alert_rule_created,
event_processed,
first_ev... | true | true |
1c33aefdf59902ba2acdb9aad1f915e9bd0231db | 1,716 | py | Python | examples/dp-sgd-mnist/server.py | andreea-zaharia/flower | c576f0118e5c3d7a7d774dc156fb4b6db194655d | [
"Apache-2.0"
] | null | null | null | examples/dp-sgd-mnist/server.py | andreea-zaharia/flower | c576f0118e5c3d7a7d774dc156fb4b6db194655d | [
"Apache-2.0"
] | null | null | null | examples/dp-sgd-mnist/server.py | andreea-zaharia/flower | c576f0118e5c3d7a7d774dc156fb4b6db194655d | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import tensorflow as tf
import flwr as fl
import common
# Make TensorFlow logs less verbose
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
def get_eval_fn(model):
"""Return an evaluation function for server-side evaluation."""
# Load test data here to avoid the overhead of doing it in... | 30.642857 | 80 | 0.706294 | import argparse
import os
import tensorflow as tf
import flwr as fl
import common
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
def get_eval_fn(model):
_, test = tf.keras.datasets.mnist.load_data()
test_data, test_labels = test
test_data, test_labels = common.preprocess(test_data, test_labels)... | true | true |
1c33afb249e0a2b024fc113cea6c70dec1148ad2 | 14 | py | Python | example_snippets/multimenus_snippets/NewSnippets/SymPy/Constants/Rational numbers.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/NewSnippets/SymPy/Constants/Rational numbers.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/NewSnippets/SymPy/Constants/Rational numbers.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | 1 | 2021-02-04T04:51:48.000Z | 2021-02-04T04:51:48.000Z | Rational(3, 7) | 14 | 14 | 0.714286 | Rational(3, 7) | true | true |
1c33b0fb6464cb76596de1e2b2f7ba678e1b5176 | 68,734 | py | Python | poky-daisy/meta/lib/oe/package_manager.py | marcosbontempo/inatelos | 6c2b0875a82de207b90077886da25f494a79aaf4 | [
"MIT"
] | null | null | null | poky-daisy/meta/lib/oe/package_manager.py | marcosbontempo/inatelos | 6c2b0875a82de207b90077886da25f494a79aaf4 | [
"MIT"
] | null | null | null | poky-daisy/meta/lib/oe/package_manager.py | marcosbontempo/inatelos | 6c2b0875a82de207b90077886da25f494a79aaf4 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
import os
import glob
import subprocess
import shutil
import multiprocessing
import re
import bb
import tempfile
# this can be used by all PM backends to create the index files in parallel
def create_index(arg):
index_cmd = arg
try:
bb.note("Executing '%s' ..."... | 39.661858 | 113 | 0.544258 | from abc import ABCMeta, abstractmethod
import os
import glob
import subprocess
import shutil
import multiprocessing
import re
import bb
import tempfile
def create_index(arg):
index_cmd = arg
try:
bb.note("Executing '%s' ..." % index_cmd)
subprocess.check_output(index_cmd, stderr=subprocess.... | false | true |
1c33b100dd29628c27cade81487d0558c654e802 | 27,834 | py | Python | astromodels/core/model_parser.py | domeckert/astromodels | 541e589c55969ce710bcc6eca583a1736b03c7d8 | [
"BSD-3-Clause"
] | null | null | null | astromodels/core/model_parser.py | domeckert/astromodels | 541e589c55969ce710bcc6eca583a1736b03c7d8 | [
"BSD-3-Clause"
] | null | null | null | astromodels/core/model_parser.py | domeckert/astromodels | 541e589c55969ce710bcc6eca583a1736b03c7d8 | [
"BSD-3-Clause"
] | null | null | null | from builtins import object, str
__author__ = "giacomov"
import re
import warnings
from astromodels.core import (model, parameter, polarization, sky_direction,
spectral_component)
from astromodels.core.my_yaml import my_yaml
from astromodels.functions import function
from astromodels.so... | 29.896885 | 119 | 0.578932 | from builtins import object, str
__author__ = "giacomov"
import re
import warnings
from astromodels.core import (model, parameter, polarization, sky_direction,
spectral_component)
from astromodels.core.my_yaml import my_yaml
from astromodels.functions import function
from astromodels.so... | true | true |
1c33b274571759e77e6dd52220d80f86a0c0bc06 | 4,544 | py | Python | docusign_esign/models/bulk_send_request.py | joekohlsdorf/docusign-esign-python-client | 40407544f79c88716d36fabf36f65c3ef1a5c3ba | [
"MIT"
] | 58 | 2017-10-18T23:06:57.000Z | 2021-04-15T23:14:58.000Z | docusign_esign/models/bulk_send_request.py | joekohlsdorf/docusign-esign-python-client | 40407544f79c88716d36fabf36f65c3ef1a5c3ba | [
"MIT"
] | 49 | 2017-10-27T05:54:09.000Z | 2021-04-29T22:06:17.000Z | docusign_esign/models/bulk_send_request.py | joekohlsdorf/docusign-esign-python-client | 40407544f79c88716d36fabf36f65c3ef1a5c3ba | [
"MIT"
] | 49 | 2017-09-16T07:23:41.000Z | 2021-05-07T20:21:20.000Z | # coding: utf-8
"""
DocuSign REST API
The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign. # noqa: E501
OpenAPI spec version: v2.1
Contact: devcenter@docusign.com
Generated by: https://github.com/swagger-api/swagger-codegen.gi... | 29.894737 | 140 | 0.600572 |
import pprint
import re
import six
from docusign_esign.client.configuration import Configuration
class BulkSendRequest(object):
swagger_types = {
'batch_name': 'str',
'envelope_or_template_id': 'str'
}
attribute_map = {
'batch_name': 'batchName',
'envelope_or_temp... | true | true |
1c33b2a09b44db5a187a1aef02d537d19d775728 | 3,601 | py | Python | blabber_log_gen.py | markcitron/blabber_log_gen | 671e348d8d9c2120b5d99913d0828a724560dd2b | [
"Apache-2.0"
] | null | null | null | blabber_log_gen.py | markcitron/blabber_log_gen | 671e348d8d9c2120b5d99913d0828a724560dd2b | [
"Apache-2.0"
] | null | null | null | blabber_log_gen.py | markcitron/blabber_log_gen | 671e348d8d9c2120b5d99913d0828a724560dd2b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
""" Blabber log gen - This script will generate one or more sample logs
This script is called from the start_blabber.py so that it will
clean up any logs started, etc. If you start the logs directly from
here you can kill the log with cntl-c or whatever :-)
The log generator purpose... | 35.303922 | 130 | 0.579561 |
import logging, argparse, time
def make_parser():
p = argparse.ArgumentParser(description="")
p.add_argument("--log_name", "-n", help="Name of log to create. If multiple logs, log number will be appended to this name.")
p.add_argument("--log_level", "-l", help="")
p.add_argument("--log_id", "-i", he... | true | true |
1c33b603ad9429d7889269b3aeaa7810a1df9cce | 6,463 | py | Python | opencood/hypes_yaml/yaml_utils.py | CARLAlover/OpenCOOD | dd42cc7a31bc261ea2461b3068ed6111f13ff437 | [
"Apache-2.0"
] | null | null | null | opencood/hypes_yaml/yaml_utils.py | CARLAlover/OpenCOOD | dd42cc7a31bc261ea2461b3068ed6111f13ff437 | [
"Apache-2.0"
] | null | null | null | opencood/hypes_yaml/yaml_utils.py | CARLAlover/OpenCOOD | dd42cc7a31bc261ea2461b3068ed6111f13ff437 | [
"Apache-2.0"
] | null | null | null | import re
import yaml
import os
import numpy as np
def load_yaml(file, opt=None):
"""
Load yaml file and return a dictionary.
Parameters
----------
file : string
yaml file path.
opt : argparser
Argparser.
Returns
-------
param : dict
A dictionary that co... | 26.929167 | 79 | 0.59183 | import re
import yaml
import os
import numpy as np
def load_yaml(file, opt=None):
if opt and opt.model_dir:
file = os.path.join(opt.model_dir, 'config.yaml')
stream = open(file, 'r')
loader = yaml.Loader
loader.add_implicit_resolver(
u'tag:yaml.org,2002:float',
re.compile(u''... | true | true |
1c33b6a7978fdbc0bd67a4184ebe877b4f9281f3 | 6,047 | py | Python | mut/flow.py | RPGroup-PBoC/mwc_mutants | 35581602c35793fc8ec42c8aff37b8305c5e54e1 | [
"MIT"
] | 3 | 2020-11-11T21:33:26.000Z | 2021-07-14T21:22:43.000Z | mut/flow.py | RPGroup-PBoC/mwc_mutants | 35581602c35793fc8ec42c8aff37b8305c5e54e1 | [
"MIT"
] | null | null | null | mut/flow.py | RPGroup-PBoC/mwc_mutants | 35581602c35793fc8ec42c8aff37b8305c5e54e1 | [
"MIT"
] | 1 | 2021-07-14T21:22:45.000Z | 2021-07-14T21:22:45.000Z | import numpy as np
import fcsparser
import pandas as pd
from ._fit_bivariate_normal_AstroML import fit_bivariate_normal
import scipy.stats
# #######################
# Automated Gating
# #######################
def fit_2D_gaussian(df, x_val='FSC-H', y_val='SSC-H', log=False):
'''
This function hacks astroML fit... | 31.494792 | 79 | 0.613031 | import numpy as np
import fcsparser
import pandas as pd
from ._fit_bivariate_normal_AstroML import fit_bivariate_normal
import scipy.stats
s(alpha)
cov = np.array([[sigma_xx, sigma_xy], [sigma_xy, sigma_yy]])
return mu, cov
e covariance matrix can't be singular")
# Compute the vector x defined as... | true | true |
1c33b6f8041b4f8c936f93105986606a5c958769 | 2,434 | py | Python | tests/linux_benchmarks/resnet_benchmark_test.py | kczauz/PerfKitBenchmarker | 66e148a35b54f67f008c7d6e9809d796179a3380 | [
"Apache-2.0"
] | null | null | null | tests/linux_benchmarks/resnet_benchmark_test.py | kczauz/PerfKitBenchmarker | 66e148a35b54f67f008c7d6e9809d796179a3380 | [
"Apache-2.0"
] | null | null | null | tests/linux_benchmarks/resnet_benchmark_test.py | kczauz/PerfKitBenchmarker | 66e148a35b54f67f008c7d6e9809d796179a3380 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 PerfKitBenchmarker 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 appli... | 38.634921 | 77 | 0.709942 |
import os
import unittest
import mock
from perfkitbenchmarker import test_util
from perfkitbenchmarker.linux_benchmarks import mnist_benchmark
from perfkitbenchmarker.linux_benchmarks import resnet_benchmark
from perfkitbenchmarker.sample import Sample
class ResNetBenchmarkTestCase(unittest.TestCase, te... | true | true |
1c33b801400323fb0a007fa682d7ea3b58a5b5c7 | 2,244 | py | Python | djangocms_baseplugins/download/migrations/0002_downloadsection.py | benzkji/djangocms-baseplugins | 7f041a030ed93dcdec70e4ca777b841846b8f2f2 | [
"MIT"
] | 2 | 2019-04-14T01:31:22.000Z | 2020-03-05T13:06:57.000Z | djangocms_baseplugins/download/migrations/0002_downloadsection.py | benzkji/djangocms-baseplugins | 7f041a030ed93dcdec70e4ca777b841846b8f2f2 | [
"MIT"
] | 32 | 2017-04-04T09:28:06.000Z | 2021-08-18T16:23:02.000Z | djangocms_baseplugins/download/migrations/0002_downloadsection.py | bnzk/djangocms-baseplugins | 7f041a030ed93dcdec70e4ca777b841846b8f2f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2019-08-05 16:02
from __future__ import unicode_literals
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cms', '0016_auto_20160608_1535'),
('download', '000... | 48.782609 | 99 | 0.505348 |
from __future__ import unicode_literals
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cms', '0016_auto_20160608_1535'),
('download', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | true | true |
1c33b809346fc82b80b66e12604955377986dc88 | 659 | py | Python | Chase/code/fixSpeed.py | haghish/Chase | 8045bce3739cf4cfec63b8fd3387cb1b43904fc3 | [
"MIT"
] | 2 | 2020-09-01T13:09:10.000Z | 2020-12-17T16:36:42.000Z | Chase/code/fixSpeed.py | haghish/Chase | 8045bce3739cf4cfec63b8fd3387cb1b43904fc3 | [
"MIT"
] | null | null | null | Chase/code/fixSpeed.py | haghish/Chase | 8045bce3739cf4cfec63b8fd3387cb1b43904fc3 | [
"MIT"
] | null | null | null | # Written by HAGHISH UG 2016
# ALL RIGHTS RESERVED
import math
def fixSpeed(speed, dx, dy):
# calculate the distance
squaredDistance = ((dy)**2) + ((dx)**2)
distance = math.sqrt(squaredDistance)
# get the ratio between distance and speed
ratio = distance/speed
# get xHat and yHat (make sure... | 21.258065 | 57 | 0.564492 |
import math
def fixSpeed(speed, dx, dy):
squaredDistance = ((dy)**2) + ((dx)**2)
distance = math.sqrt(squaredDistance)
ratio = distance/speed
if ratio != 0:
dxHat = math.sqrt(dx**2/ratio**2)
dyHat = math.sqrt(dy ** 2 / ratio ** 2)
else:
dxHat = 0
... | true | true |
1c33b832812df09e864b29741395873dbedd902b | 5,112 | py | Python | conans/client/packager.py | xaqq/conan | ab0870336550b7521da71595c6babf42d5690f7b | [
"MIT"
] | null | null | null | conans/client/packager.py | xaqq/conan | ab0870336550b7521da71595c6babf42d5690f7b | [
"MIT"
] | 1 | 2018-06-01T09:34:49.000Z | 2018-06-01T13:51:07.000Z | conans/client/packager.py | xaqq/conan | ab0870336550b7521da71595c6babf42d5690f7b | [
"MIT"
] | null | null | null | import os
import shutil
from conans.client import tools
from conans.client.file_copier import FileCopier, report_copied_files
from conans.client.output import ScopedOutput
from conans.errors import (ConanException, ConanExceptionInUserConanfileMethod,
conanfile_exception_formatter)
from cona... | 40.896 | 100 | 0.693075 | import os
import shutil
from conans.client import tools
from conans.client.file_copier import FileCopier, report_copied_files
from conans.client.output import ScopedOutput
from conans.errors import (ConanException, ConanExceptionInUserConanfileMethod,
conanfile_exception_formatter)
from cona... | true | true |
1c33b861ff7df4bb714197bfefe52bd56f66e9fc | 8,355 | py | Python | bfutils/bfpp-interp.py | borisfaure/bfb | 1f019ab580b1e75eaa1eca3c3e87944da148607e | [
"WTFPL"
] | 1 | 2015-04-22T08:23:47.000Z | 2015-04-22T08:23:47.000Z | bfutils/bfpp-interp.py | borisfaure/bfb | 1f019ab580b1e75eaa1eca3c3e87944da148607e | [
"WTFPL"
] | null | null | null | bfutils/bfpp-interp.py | borisfaure/bfb | 1f019ab580b1e75eaa1eca3c3e87944da148607e | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python
"""
A brainfuck++ interpertor. Based on pybrain4.
"""
import os
import sys
import optparse
import bfpreprocessor
import tty
import termios
import socket
class Interp():
def __init__(self, code):
self.cells = [0] * 30000
self.maxint = (2 ** 8) - 1
self.cellpointer = 0
... | 35.553191 | 94 | 0.452783 |
import os
import sys
import optparse
import bfpreprocessor
import tty
import termios
import socket
class Interp():
def __init__(self, code):
self.cells = [0] * 30000
self.maxint = (2 ** 8) - 1
self.cellpointer = 0
self.codecursor = 0
self.socket = None
self.file = N... | true | true |
1c33b9cb76fb59d737a1b4f14ac11c663289ecdd | 10,541 | py | Python | web/SimpleHTTPServerWithUpload.py | laxa/scripts | 40bcf3b2090430ab0363d8326aede80a6a3318c1 | [
"MIT"
] | 1 | 2018-09-05T13:35:24.000Z | 2018-09-05T13:35:24.000Z | web/SimpleHTTPServerWithUpload.py | Laxa/scripts | 6eaeb4ac65a62fe098bff45eb9f421560d1a2984 | [
"MIT"
] | null | null | null | web/SimpleHTTPServerWithUpload.py | Laxa/scripts | 6eaeb4ac65a62fe098bff45eb9f421560d1a2984 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# script sources: https://gist.github.com/UniIsland/3346170
"""Simple HTTP Server With Upload.
This module builds on BaseHTTPServer by implementing the standard GET
and HEAD requests in a fairly straightforward manner.
"""
__version__ = "0.1"
__all__ = ["SimpleHTTPRequestHandler"]
__author_... | 35.611486 | 97 | 0.581064 |
__version__ = "0.1"
__all__ = ["SimpleHTTPRequestHandler"]
__author__ = "bones7456"
__home_page__ = "http://li2z.cn/"
import os
import posixpath
import http.server
import urllib
import html
import shutil
import mimetypes
import re
import io
class SimpleHTTPRequestHandler(http.server.BaseHTTPRequestHandler):
... | true | true |
1c33ba948c776afd72bc9c5d8ccaf2566e5db1b2 | 791 | py | Python | api/celery_api/signal_handler.py | 240325184/KubeOperator | 777774050b236abf938a5a9ef505124c26e4916e | [
"Apache-2.0"
] | 3 | 2020-04-05T04:53:24.000Z | 2020-04-05T04:53:34.000Z | api/celery_api/signal_handler.py | 240325184/KubeOperator | 777774050b236abf938a5a9ef505124c26e4916e | [
"Apache-2.0"
] | 27 | 2021-05-05T02:51:26.000Z | 2022-01-04T21:30:21.000Z | api/celery_api/signal_handler.py | 240325184/KubeOperator | 777774050b236abf938a5a9ef505124c26e4916e | [
"Apache-2.0"
] | 1 | 2020-03-04T00:29:29.000Z | 2020-03-04T00:29:29.000Z | # -*- coding: utf-8 -*-
#
import logging
from celery.signals import after_setup_logger
from celery.utils.log import get_logger
from kombu.utils.encoding import safe_str
from .logger import CeleryTaskFileHandler
safe_str = lambda x: x
logger = get_logger(__file__)
@after_setup_logger.connect
def add_celery_redis_ha... | 27.275862 | 112 | 0.766119 |
import logging
from celery.signals import after_setup_logger
from celery.utils.log import get_logger
from kombu.utils.encoding import safe_str
from .logger import CeleryTaskFileHandler
safe_str = lambda x: x
logger = get_logger(__file__)
@after_setup_logger.connect
def add_celery_redis_handler(sender=None, logge... | true | true |
1c33babc1dbab32440463811c12abe576f496721 | 638 | py | Python | testing/rubik_testing/__init__.py | Borsos/rubik | af220a142b81a8f5b5011e4e072be9e3d130e827 | [
"Apache-2.0"
] | 1 | 2019-11-13T00:44:09.000Z | 2019-11-13T00:44:09.000Z | testing/rubik_testing/__init__.py | Borsos/rubik | af220a142b81a8f5b5011e4e072be9e3d130e827 | [
"Apache-2.0"
] | null | null | null | testing/rubik_testing/__init__.py | Borsos/rubik | af220a142b81a8f5b5011e4e072be9e3d130e827 | [
"Apache-2.0"
] | 1 | 2019-11-13T00:47:16.000Z | 2019-11-13T00:47:16.000Z | #!/usr/bin/env python3
#
# Copyright 2014 Simone Campagna
#
# 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 ... | 33.578947 | 74 | 0.757053 |
__author__ = "Simone Campagna"
| true | true |
1c33bb68b5b12b6c3eccc9179009a52e97d4c260 | 510 | py | Python | test/test_data.py | ikamensh/arc-py | 5b8d1d44e4602ff029dd77f65882423ee57bf5c1 | [
"MIT"
] | 3 | 2021-04-01T21:21:23.000Z | 2021-12-24T09:50:28.000Z | test/test_data.py | ikamensh/arc-py | 5b8d1d44e4602ff029dd77f65882423ee57bf5c1 | [
"MIT"
] | 1 | 2021-04-01T14:32:51.000Z | 2021-04-01T14:32:51.000Z | test/test_data.py | ikamensh/arc-py | 5b8d1d44e4602ff029dd77f65882423ee57bf5c1 | [
"MIT"
] | 1 | 2022-01-18T20:39:33.000Z | 2022-01-18T20:39:33.000Z | import os
import pytest
@pytest.fixture()
def no_cache():
from arc.data import cache_file
if os.path.isfile(cache_file):
os.remove(cache_file)
def test_eval_set(no_cache):
from arc import validation_problems, describe_task_group
assert len(validation_problems) == 400
describe_task_grou... | 20.4 | 60 | 0.758824 | import os
import pytest
@pytest.fixture()
def no_cache():
from arc.data import cache_file
if os.path.isfile(cache_file):
os.remove(cache_file)
def test_eval_set(no_cache):
from arc import validation_problems, describe_task_group
assert len(validation_problems) == 400
describe_task_grou... | true | true |
1c33bd0a99380be85fae7a96440f62e3c0394372 | 6,644 | py | Python | automancy/core/tactical_asserts.py | IAmTheBlurr/Automancy | 0c52916cd01dda6bd34ef8d048c37e478dfabbb5 | [
"MIT"
] | null | null | null | automancy/core/tactical_asserts.py | IAmTheBlurr/Automancy | 0c52916cd01dda6bd34ef8d048c37e478dfabbb5 | [
"MIT"
] | null | null | null | automancy/core/tactical_asserts.py | IAmTheBlurr/Automancy | 0c52916cd01dda6bd34ef8d048c37e478dfabbb5 | [
"MIT"
] | null | null | null | """ ./core/tactical_asserts.py """
from time import sleep
import chronomancy
import inspect
from automancy.core import Elemental
from selenium.common.exceptions import WebDriverException
class TacticalAsserts(object):
def __init__(self, sleep_time: float = 0.25, max_timeout: int = 10):
super().__init__... | 39.313609 | 213 | 0.638471 | from time import sleep
import chronomancy
import inspect
from automancy.core import Elemental
from selenium.common.exceptions import WebDriverException
class TacticalAsserts(object):
def __init__(self, sleep_time: float = 0.25, max_timeout: int = 10):
super().__init__()
self.max_timeout = max_t... | true | true |
1c33bd36d7692dffce76f4f41188662a80708b18 | 18,818 | py | Python | log_complete/model_244.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_complete/model_244.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_complete/model_244.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | # exported from PySB model 'model'
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU', 'C3pro'])
Monomer('SmacM', ['BaxA'])
Monomer('BaxM', ['BidM', '... | 91.349515 | 710 | 0.806515 |
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU', 'C3pro'])
Monomer('SmacM', ['BaxA'])
Monomer('BaxM', ['BidM', 'BaxA'])
Monomer('Apop', ['C3pro', ... | true | true |
1c33bd3cd9c3f9a94ceb7cff2cf858c2010efda8 | 1,068 | py | Python | setup.py | Baras64/Scrapera | bbd2f24915767be951acb1fc5fcf4d3d73eedbd4 | [
"MIT"
] | 300 | 2021-01-24T05:53:07.000Z | 2022-01-10T06:06:41.000Z | setup.py | pratik-choudhari/Scrapera | 3d48f2b861849d90aebe85d6e088365de7810c06 | [
"MIT"
] | 10 | 2021-01-24T06:37:10.000Z | 2021-08-30T16:47:15.000Z | setup.py | pratik-choudhari/Scrapera | 3d48f2b861849d90aebe85d6e088365de7810c06 | [
"MIT"
] | 21 | 2021-01-24T14:37:42.000Z | 2022-01-05T19:33:00.000Z | from setuptools import setup
import os
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = '\n' + f.read()
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name="scrapera",
version="1.1.3",... | 30.514286 | 68 | 0.655431 | from setuptools import setup
import os
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = '\n' + f.read()
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name="scrapera",
version="1.1.3",... | true | true |
1c33be3154e4fb054abe4a689218686c25115ebe | 487 | py | Python | lab/migrations/0016_alter_objectgroup_options.py | betagouv/euphrosyne | a67857a8716b5060cd9a2c6fa5f3d45c3fff435a | [
"MIT"
] | 1 | 2022-02-21T19:46:20.000Z | 2022-02-21T19:46:20.000Z | lab/migrations/0016_alter_objectgroup_options.py | betagouv/euphrosyne | a67857a8716b5060cd9a2c6fa5f3d45c3fff435a | [
"MIT"
] | 37 | 2021-10-18T18:33:26.000Z | 2022-03-31T12:38:38.000Z | lab/migrations/0016_alter_objectgroup_options.py | betagouv/euphrosyne | a67857a8716b5060cd9a2c6fa5f3d45c3fff435a | [
"MIT"
] | 2 | 2022-03-03T15:41:30.000Z | 2022-03-07T14:20:26.000Z | # Generated by Django 4.0.1 on 2022-02-14 10:43
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('lab', '0015_objectgroup_object_count_alter_objectgroup_inventory_and_more_squashed_0016_alter_objectgroup_label'),
]
operations = [
migrations.Alter... | 27.055556 | 124 | 0.677618 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('lab', '0015_objectgroup_object_count_alter_objectgroup_inventory_and_more_squashed_0016_alter_objectgroup_label'),
]
operations = [
migrations.AlterModelOptions(
name='objectgroup',
... | true | true |
1c33be844c886ef505a7fc609351b1c1dceb34b6 | 99 | py | Python | shared/python/__init__.py | carol-hsu/relay-bench | 0facffedb3cbb0d5f110769a84bba68718cff72b | [
"Apache-2.0"
] | 7 | 2019-10-03T22:41:18.000Z | 2020-05-31T18:52:15.000Z | shared/python/__init__.py | carol-hsu/relay-bench | 0facffedb3cbb0d5f110769a84bba68718cff72b | [
"Apache-2.0"
] | 14 | 2019-10-18T19:13:53.000Z | 2021-09-08T01:36:37.000Z | shared/python/__init__.py | carol-hsu/relay-bench | 0facffedb3cbb0d5f110769a84bba68718cff72b | [
"Apache-2.0"
] | 4 | 2019-10-03T21:34:03.000Z | 2022-02-23T10:29:49.000Z | from . import trial_util
from . import relay_util
from . import analysis_util
from . import common
| 19.8 | 27 | 0.79798 | from . import trial_util
from . import relay_util
from . import analysis_util
from . import common
| true | true |
1c33beb67d1b99e22341dd936653d4cf90801b6e | 9,407 | py | Python | dapper/tools/localization.py | dafeda/DAPPER | fc4ae95a3eb7c65387616f988b75559a9eacc048 | [
"MIT"
] | null | null | null | dapper/tools/localization.py | dafeda/DAPPER | fc4ae95a3eb7c65387616f988b75559a9eacc048 | [
"MIT"
] | 1 | 2022-02-18T12:29:38.000Z | 2022-02-18T12:29:38.000Z | dapper/tools/localization.py | dafeda/DAPPER | fc4ae95a3eb7c65387616f988b75559a9eacc048 | [
"MIT"
] | null | null | null | """Localization tools, including distance and tapering comps.
A good introduction to localization:
Sakov (2011), Computational Geosciences:
'Relation between two common localisation methods for the EnKF'.
"""
# NB: Why is the 'order' argument not supported by this module? Because:
# 1) Assuming only order (orientati... | 30.74183 | 88 | 0.582545 |
# 2) It's not necessary, because the module only communicates to *exterior* via indices
import numpy as np
def pairwise_distances(A, B=None, domain=None):
if B is None:
B = A
A = np.atleast_2d(A)
B = np.atleast_2d(B)
mA, nA = A.shape
mB, nB = B.shape
assert nA == nB, "Th... | true | true |
1c33bfb83e4b9c8e2c5f242afa3184bebe3cef27 | 17,571 | py | Python | neutron/openstack/common/gettextutils.py | SnabbCo/neutron | a657c06d10f2171149c6b1863df36522bdc11cd7 | [
"Apache-2.0"
] | 1 | 2016-04-19T08:20:19.000Z | 2016-04-19T08:20:19.000Z | neutron/openstack/common/gettextutils.py | SnabbCo/neutron | a657c06d10f2171149c6b1863df36522bdc11cd7 | [
"Apache-2.0"
] | null | null | null | neutron/openstack/common/gettextutils.py | SnabbCo/neutron | a657c06d10f2171149c6b1863df36522bdc11cd7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 Red Hat, Inc.
# Copyright 2013 IBM Corp.
# 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.... | 39.13363 | 79 | 0.648341 |
import copy
import functools
import gettext
import locale
from logging import handlers
import os
from babel import localedata
import six
_localedir = os.environ.get('neutron'.upper() + '_LOCALEDIR')
_t = gettext.translation('neutron', localedir=_localedir, fallback=True)
_t_log_levels = dict(
... | true | true |
1c33bfd302e7d66c62c77fcf9ddcf3ff4d552c7b | 30,613 | py | Python | openaerostruct/geometry/utils.py | fkopsaf/OpenAeroStruct | 414bd76a7f14f1bd52d6dacc6694382d52e5fabc | [
"Apache-2.0"
] | null | null | null | openaerostruct/geometry/utils.py | fkopsaf/OpenAeroStruct | 414bd76a7f14f1bd52d6dacc6694382d52e5fabc | [
"Apache-2.0"
] | null | null | null | openaerostruct/geometry/utils.py | fkopsaf/OpenAeroStruct | 414bd76a7f14f1bd52d6dacc6694382d52e5fabc | [
"Apache-2.0"
] | 1 | 2018-09-24T04:58:37.000Z | 2018-09-24T04:58:37.000Z | from __future__ import print_function, division
import warnings
import numpy as np
from numpy import cos, sin, tan
from openaerostruct.geometry.CRM_definitions import get_crm_points
def rotate(mesh, theta_y, symmetry, rotate_x=True):
"""
Compute rotation matrices given mesh and rotation angles in d... | 34.669309 | 99 | 0.575964 | from __future__ import print_function, division
import warnings
import numpy as np
from numpy import cos, sin, tan
from openaerostruct.geometry.CRM_definitions import get_crm_points
def rotate(mesh, theta_y, symmetry, rotate_x=True):
te = mesh[-1]
le = mesh[ 0]
quarter_chord = 0.25 * te + 0.75... | true | true |
1c33c028878b8df40f98e39ce8707d77981d1131 | 4,298 | py | Python | lib/editorconfig/handler.py | Twilight0/script.module.jsbeautifier | 40b8bbd342788cbd2affaf08921b213252146eaa | [
"MIT"
] | 70 | 2015-01-12T09:55:18.000Z | 2022-03-29T06:15:49.000Z | lib/editorconfig/handler.py | Twilight0/script.module.jsbeautifier | 40b8bbd342788cbd2affaf08921b213252146eaa | [
"MIT"
] | 26 | 2015-09-15T06:46:51.000Z | 2022-03-28T08:56:35.000Z | lib/editorconfig/handler.py | Twilight0/script.module.jsbeautifier | 40b8bbd342788cbd2affaf08921b213252146eaa | [
"MIT"
] | 28 | 2015-04-05T18:07:16.000Z | 2022-03-28T08:08:00.000Z | """EditorConfig file handler
Provides ``EditorConfigHandler`` class for locating and parsing
EditorConfig files relevant to a given filepath.
Licensed under Simplified BSD License (see LICENSE.BSD file).
"""
import os
from editorconfig import VERSION
from editorconfig.exceptions import PathError, VersionError
from... | 33.578125 | 78 | 0.639832 |
import os
from editorconfig import VERSION
from editorconfig.exceptions import PathError, VersionError
from editorconfig.ini import EditorConfigParser
__all__ = ['EditorConfigHandler']
def get_filenames(path, filename):
path_list = []
while True:
path_list.append(os.path.join(path, filename))
... | true | true |
1c33c11e620e4693a9ee4e27ae8196c291f627c5 | 1,086 | py | Python | runtimes/actions/riskCalculationFlow/formatData_BulkWrite.py | Hitachi-CTI-Call-For-Code-COVID-19-Team/risk-calculator | 96ff4ebe9bfdf3f8b525c65678500ea61260ada3 | [
"Apache-2.0"
] | null | null | null | runtimes/actions/riskCalculationFlow/formatData_BulkWrite.py | Hitachi-CTI-Call-For-Code-COVID-19-Team/risk-calculator | 96ff4ebe9bfdf3f8b525c65678500ea61260ada3 | [
"Apache-2.0"
] | null | null | null | runtimes/actions/riskCalculationFlow/formatData_BulkWrite.py | Hitachi-CTI-Call-For-Code-COVID-19-Team/risk-calculator | 96ff4ebe9bfdf3f8b525c65678500ea61260ada3 | [
"Apache-2.0"
] | null | null | null | # /*
# Copyright 2020 Hitachi Ltd.
# 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, ... | 26.487805 | 88 | 0.724678 |
import sys
import json
def main(jsonified_outputList_dict):
docsFormatted = json.dumps(
{"docs": json.loads(jsonified_outputList_dict["calulatedRisks"])})
return {'docs': docsFormatted,
"dbname": "log_risk_calculation"
}
| true | true |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.