Datasets:

ytzi

/

the-stack-dedup-python-scored-filtered

like 0

29c698fcf98da3c177cd1347dd70acef351370fb

py

Python

backend/src/feature_extraction/rolloff.py

AnXi-TieGuanYin-Tea/MusicGenreClassifiaction

a0b9f621b0a5d2451180b12af7681756c5abd138

2018-05-01T19:39:17.000Z

2020-01-02T17:11:05.000Z

backend/src/feature_extraction/rolloff.py

AnXi-TieGuanYin-Tea/MusicGenreClassifiaction

a0b9f621b0a5d2451180b12af7681756c5abd138

2018-12-10T22:16:43.000Z

2020-08-27T18:23:45.000Z

backend/src/feature_extraction/rolloff.py

AnXi-TieGuanYin-Tea/MusicGenreClassifiaction

a0b9f621b0a5d2451180b12af7681756c5abd138

2021-04-16T08:20:17.000Z

2022-01-06T14:06:44.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Mar 17 23:14:28 2018 @author: Akihiro Inui """ def rolloff(input_power_spectrum: list, param: float=0.85) -> float: """ Spectral Rolloff :param input_power_spectrum: power spectrum in list :param param: threadshold for roll off :return Spectral Rolloff """ assert (param <= 0 or param >= 1) is False, "parameter must be between 0 and 1" # Initialize energy and FFT number energy = 0 count = 0 # Calculate total energy total_energy = sum(input_power_spectrum[:]**2) # Find Count which has energy below param*total_energy while energy <= param*total_energy and count < len(input_power_spectrum): energy = pow(input_power_spectrum[count], 2) + energy count += 1 # Normalise Spectral Rolloff return count/len(input_power_spectrum)

29c8162014a517194fd9f41815841a6c8677d84e

py

Python

src/genie/libs/parser/iosxe/tests/ShowIpInterfaceBrief/cli/equal/golden_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowIpInterfaceBrief/cli/equal/golden_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowIpInterfaceBrief/cli/equal/golden_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "interface": { "GigabitEthernet0/0/0": { "interface_is_ok": "YES", "ip_address": "10.105.44.23", "method": "other", "protocol": "up", "status": "up" }, "GigabitEthernet0/0/1": { "interface_is_ok": "YES", "ip_address": "10.174.10.1", "method": "other", "protocol": "up", "status": "up" }, "GigabitEthernet0/0/2": { "interface_is_ok": "YES", "ip_address": "10.64.10.1", "method": "other", "protocol": "up", "status": "up" }, "GigabitEthernet0/0/3": { "interface_is_ok": "YES", "ip_address": "10.186.10.1", "method": "other", "protocol": "up", "status": "up" }, "Loopback65528": { "interface_is_ok": "YES", "ip_address": "192.168.1.1", "method": "other", "protocol": "up", "status": "up" }, "NVI0": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "up", "status": "up" }, "Sdwan-system-intf": { "interface_is_ok": "YES", "ip_address": "192.168.10.64", "method": "unset", "protocol": "up", "status": "up" }, "TenGigabitEthernet0/0/4": { "interface_is_ok": "YES", "ip_address": "10.121.10.1", "method": "other", "protocol": "up", "status": "up" }, "TenGigabitEthernet0/0/5": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "down", "status": "down" }, "Tunnel1": { "interface_is_ok": "YES", "ip_address": "10.174.10.1", "method": "TFTP", "protocol": "up", "status": "up" }, "Tunnel2000000001": { "interface_is_ok": "YES", "ip_address": "192.168.2.1", "method": "unset", "protocol": "up", "status": "up" }, "Tunnel2000000002": { "interface_is_ok": "YES", "ip_address": "192.168.166.1", "method": "unset", "protocol": "up", "status": "up" }, "Tunnel3": { "interface_is_ok": "YES", "ip_address": "10.186.10.1", "method": "TFTP", "protocol": "up", "status": "up" }, "TwoGigabitEthernet0/1/0": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "up", "status": "up" }, "TwoGigabitEthernet0/2/0": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "up", "status": "up" }, "Ucse1/0/0": { "interface_is_ok": "YES", "ip_address": "10.19.14.1", "method": "other", "protocol": "down", "status": "administratively down" }, "Ucse1/0/1": { "interface_is_ok": "YES", "ip_address": "unassigned", "method": "unset", "protocol": "down", "status": "administratively down" }, "VirtualPortGroup0": { "interface_is_ok": "YES", "ip_address": "192.0.2.1", "method": "other", "protocol": "up", "status": "up" }, "VirtualPortGroup1": { "interface_is_ok": "YES", "ip_address": "192.168.2.1", "method": "other", "protocol": "up", "status": "up" }, "VirtualPortGroup3": { "interface_is_ok": "YES", "ip_address": "192.168.3.1", "method": "other", "protocol": "up", "status": "up" }, "VirtualPortGroup4": { "interface_is_ok": "YES", "ip_address": "192.168.166.1", "method": "other", "protocol": "up", "status": "up" } } }

29d8926e28c855d35087d877a48866f5e57129f6

py

Python

env/lib/python2.7/site-packages/grpc/_grpcio_metadata.py

husky-parul/SheHacks

19383029947f50ebaf07232c9b2ee76c75d8ada6

2018-02-01T06:30:24.000Z

2018-04-12T15:39:56.000Z

env/lib/python2.7/site-packages/grpc/_grpcio_metadata.py

husky-parul/SheHacks

19383029947f50ebaf07232c9b2ee76c75d8ada6

env/lib/python2.7/site-packages/grpc/_grpcio_metadata.py

husky-parul/SheHacks

19383029947f50ebaf07232c9b2ee76c75d8ada6

__version__ = """1.8.4"""

29d92f0ff0b006c6d957ac126ab63d45f2f46f8c

py

Python

danesfield/core/admin/__init__.py

girder/Danesfield

04b0e991cae52bda758de4ee3f7e04dab45f3ff9

danesfield/core/admin/__init__.py

girder/Danesfield

04b0e991cae52bda758de4ee3f7e04dab45f3ff9

2021-10-29T21:03:34.000Z

2022-03-18T02:07:57.000Z

danesfield/core/admin/__init__.py

girder/Danesfield

04b0e991cae52bda758de4ee3f7e04dab45f3ff9

2022-01-26T09:31:48.000Z

2022-01-26T09:31:48.000Z

from django.contrib import admin # general admin settings admin.site.site_header = 'Danesfield Admin' admin.site.site_title = 'Danesfield Admin'

29e4187ad7c1dcf2ceaec9e4c64c93ba30148a08

py

Python

twitoff/__init__.py

boscolio/twitoff-ds19

46449f9a55619a74dafa32ebee733daca8d1602f

twitoff/__init__.py

boscolio/twitoff-ds19

46449f9a55619a74dafa32ebee733daca8d1602f

twitoff/__init__.py

boscolio/twitoff-ds19

46449f9a55619a74dafa32ebee733daca8d1602f

from .app import create_app # creates the app by calling the package APP = create_app()

29e53d00d3dfdf9edbf744f3dfa7a95332d492b5

py

Python

books/init_api.py

nabekabebe/BookFInder

aaa7eb3028cb2ef5552f865107ddb13a5dc3fde7

books/init_api.py

nabekabebe/BookFInder

aaa7eb3028cb2ef5552f865107ddb13a5dc3fde7

books/init_api.py

nabekabebe/BookFInder

aaa7eb3028cb2ef5552f865107ddb13a5dc3fde7

from flask_restplus import Api API = Api( title="Book API", version='1.0', description="This Api provides endpoint for accessing books and their reviews." )

29ea1aef1c82bd772907c42e68df319791525947

py

Python

Render2018/lib/create_config_bodyflow.py

BigOto2/BlenderRenderDNS

a8ff239ecffef5217f0db35d579227a0a444c32d

2021-07-28T00:42:39.000Z

2021-07-28T00:42:39.000Z

Render2018/lib/create_config_bodyflow.py

BigOto2/BlenderRenderDNS

a8ff239ecffef5217f0db35d579227a0a444c32d

Render2018/lib/create_config_bodyflow.py

BigOto2/BlenderRenderDNS

a8ff239ecffef5217f0db35d579227a0a444c32d

2019-05-13T17:38:05.000Z

2019-05-13T17:38:05.000Z

import os.path import configparser from dircheck import get_yesno_input import create_jobscripts from create_dirname_config import config_dirname_cfg from create_all_dirs import create_all import socket import cgns_load_data # Script that creates the two configuration files (case and render files) necessary to run the scripts, with a data file from Abhiram's body flow simulation as input. # Check whether scripts being run on Mox if socket.gethostname()[0:3] == "mox": mox = True blender_dir = "/gscratch/ferrante/blender/blender-2.78c-linux-glibc219-x86_64/./" else: mox = False blender_dir = "" # Check if dirname.cfg, which contains directory paths used throughout the scripts, exists - otherwise, create it if not os.path.exists("dirname.cfg"): config_dirname_cfg() # Load important directories dirname_config = configparser.ConfigParser() dirname_config.read("dirname.cfg") # Get case name. This corresponds to a specific .h5dns file and is specified by the user. A case config file will be created with its name. case_name = input("Enter case name. This can be any string that refers to a particular VIZ.cgns file. ") create_all(case_name) case_config_path = dirname_config["DIRECTORIES"]["RenderConfig"] + case_name + "-case.cfg" # If existing case config file exists, the user is specifying a particular .h5dns file that is already associated with # this case name, so move on to render settings config. Otherwise, create case config file from user input. if os.path.exists(case_config_path): print("Found existing case configuration: " + case_config_path) existing_case_config = configparser.ConfigParser() existing_case_config.read(case_config_path) print("data file: " + existing_case_config["STRING"]["h5dns_path"]) else: # Create new case config file new_case_config = configparser.ConfigParser() # There are different sections for each datatype (this is how the scripts know what data types to load, when they are all saved as strings) new_case_config["STRING"] = {} new_case_config["FLOAT"] = {} new_case_config["INT"] = {} # Save important strings new_case_config["STRING"]["case_name"] = case_name new_case_config["STRING"]["data_file_type"] = "bodyflow" h5dns_path = input("Enter absolute path to data file: ") new_case_config["STRING"]["h5dns_path"] = h5dns_path # Load data file and save important params params = cgns_load_data.get_important_data(h5dns_path) new_case_config["INT"]["tres"] = str(params["tres"]) new_case_config["INT"]["ires"] = str(params["ires"]) new_case_config["INT"]["jres"] = str(params["jres"]) new_case_config["INT"]["kres"] = str(params["kres"]) # Write case config file with open(case_config_path, "w") as case_config_file: new_case_config.write(case_config_file) # Get render-specific config settings from user. This specifies what type of render to perform (photorealistic, surface # temperature, ...), and other render settings (scale of droplet to render, etc.) render_type = int(input("Select type of render to perform (enter number).\n 1 Streamline render\n 2 Vortex line render\n")) render_name = input("Enter render profile name. This can be any string that refers to specific rendering settings for a data case. ") # Initialize categories based on data types new_render_config = configparser.ConfigParser() new_render_config["STRING"] = {} new_render_config["INT"] = {} new_render_config["FLOAT"] = {} new_render_config["BOOL"] = {} new_render_config["STRING"]["render_name"] = render_name # Determine settings from user that are specific to each type. if (render_type == 1): # Streamline # Name render config file based on the type of render being performed render_config_path = dirname_config["DIRECTORIES"]["RenderConfig"] + render_name + "-render-streamline.cfg" # Get some other settings elif (render_type == 2): # Vortex line render_config_path = dirname_config["DIRECTORIES"]["RenderConfig"] + render_name + "-render-vortexline.cfg" # General inputs new_render_config["INT"]["num_streamlines"] = input("Specify number of streamlines: ") new_render_config["INT"]["streamline_seed"] = "777" #input("Specify random seed number to determine streamline start positions from: ") new_render_config["FLOAT"]["view_fraction"] = input("Specify desired render frame width as multiple of domain length: ") new_render_config["FLOAT"]["camera_azimuth_angle"] = input("Specify camera azimuth angle from the x-axis (deg): ") new_render_config["FLOAT"]["camera_elevation_angle"] = input("Specify camera elevation angle from the horizontal (deg): ") bg_image_enabled = get_yesno_input("Use custom background image? ") if bg_image_enabled: new_render_config["STRING"]["bg_image_filepath"] = dirname_config["DIRECTORIES"]["background_images"] + input("Specify background image name (in \"Render2018/BackgroundImages\"): ") new_render_config["STRING"]["bg_color_1"] = "" new_render_config["STRING"]["bg_color_2"] = "" else: new_render_config["STRING"]["bg_image_filepath"] = "" new_render_config["STRING"]["bg_color_1"] = input("Specify R,G,B value of lower background color (separate floats by commas, values range from 0 to 1): ") new_render_config["STRING"]["bg_color_2"] = input("Specify R,G,B value of upper background color (separate floats by commas, values range from 0 to 1): ") new_render_config["FLOAT"]["resolution_percentage"] = input("Specify resolution percentage out of 100, as a percentage of 4K: ") # Write render config file with open(render_config_path, "w") as render_config_file: new_render_config.write(render_config_file) # Create slurm jobscript to run on Mox slurm_name = case_name + "_" + render_name + ".slurm" create_jobscripts.create_mox_slurm(slurm_dir=dirname_config["DIRECTORIES"]["RenderJobscripts"], slurm_name=slurm_name, job_name=case_name+"_"+render_name, lib_dir=os.getcwd(), python_file_to_run="render_init.py", case_config_path=case_config_path, render_config_path=render_config_path) local_py_name = case_name + "_" + render_name + ".py" create_jobscripts.create_local_py(python_dir=dirname_config["DIRECTORIES"]["RenderJobscripts"], python_filename=local_py_name, lib_dir=dirname_config["DIRECTORIES"]["lib"], python_file_to_run="render_init.py", case_config_path=case_config_path, render_config_path=render_config_path) # Run jobscript if user desires if mox: if get_yesno_input("Run " + slurm_name + " to launch this rendering job?"): os.system("sbatch -p ferrante -A ferrante " + dirname_config["DIRECTORIES"]["RenderJobscripts"] + "/" + slurm_name) else: if get_yesno_input("Run " + local_py_name + " to launch this rendering job?"): os.system("python3 " + dirname_config["DIRECTORIES"]["RenderJobscripts"] + local_py_name)

29f700b90ab2377c8ba15763c3022ce5834a7f4f

py

Python

python/fe3lmaker/s3-driver.py

flarebyte/wonderful-bazar

810514cd7d73505b11d738f8b84d91842d18d074

python/fe3lmaker/s3-driver.py

flarebyte/wonderful-bazar

810514cd7d73505b11d738f8b84d91842d18d074

python/fe3lmaker/s3-driver.py

flarebyte/wonderful-bazar

810514cd7d73505b11d738f8b84d91842d18d074

#!/usr/bin/env python # This software code is made available "AS IS" without warranties of any # kind. You may copy, display, modify and redistribute the software # code either by itself or as incorporated into your code; provided that # you do not remove any proprietary notices. Your use of this software # code is at your own risk and you waive any claim against Amazon # Digital Services, Inc. or its affiliates with respect to your use of # this software code. (c) 2006-2007 Amazon Digital Services, Inc. or its # affiliates. import S3 import time import sys AWS_ACCESS_KEY_ID = '<INSERT YOUR AWS ACCESS KEY ID HERE>' AWS_SECRET_ACCESS_KEY = '<INSERT YOUR AWS SECRET ACCESS KEY HERE>' # remove these next two lines when you've updated your credentials. print "update s3-driver.py with your AWS credentials" sys.exit(); # convert the bucket to lowercase for vanity domains # the bucket name must be lowercase since DNS is case-insensitive BUCKET_NAME = AWS_ACCESS_KEY_ID.lower() + '-test-bucket' KEY_NAME = 'test-key' conn = S3.AWSAuthConnection(AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY) generator = S3.QueryStringAuthGenerator(AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY) # Check if the bucket exists. The high availability engineering of # Amazon S3 is focused on get, put, list, and delete operations. # Because bucket operations work against a centralized, global # resource space, it is not appropriate to make bucket create or # delete calls on the high availability code path of your application. # It is better to create or delete buckets in a separate initialization # or setup routine that you run less often. if (conn.check_bucket_exists(BUCKET_NAME).status == 200): print '----- bucket already exists! -----' else: print '----- creating bucket -----' print conn.create_located_bucket(BUCKET_NAME, S3.Location.DEFAULT).message # to create an EU bucket #print conn.create_located_bucket(BUCKET_NAME, S3.Location.EU).message print '----- bucket location -----' print conn.get_bucket_location(BUCKET_NAME).location print '----- listing bucket -----' print map(lambda x: x.key, conn.list_bucket(BUCKET_NAME).entries) print '----- putting object (with content type) -----' print conn.put( BUCKET_NAME, KEY_NAME, S3.S3Object('this is a test'), { 'Content-Type': 'text/plain' }).message print '----- listing bucket -----' print map(lambda x: x.key, conn.list_bucket(BUCKET_NAME).entries) print '----- getting object -----' print conn.get(BUCKET_NAME, KEY_NAME).object.data print '----- query string auth example -----' print "\nTry this url out in your browser (it will only be valid for 60 seconds).\n" generator.set_expires_in(60); url = generator.get(BUCKET_NAME, KEY_NAME) print url print '\npress enter> ', sys.stdin.readline() print "\nNow try just the url without the query string arguments. it should fail.\n" print generator.make_bare_url(BUCKET_NAME, KEY_NAME) print '\npress enter> ', sys.stdin.readline() print '----- putting object with metadata and public read acl -----' print conn.put( BUCKET_NAME, KEY_NAME + '-public', S3.S3Object('this is a publicly readable test'), { 'x-amz-acl': 'public-read' , 'Content-Type': 'text/plain' } ).message print '----- anonymous read test ----' print "\nYou should be able to try this in your browser\n" public_key = KEY_NAME + '-public' print generator.make_bare_url(BUCKET_NAME, public_key) print "\npress enter> ", sys.stdin.readline() print "----- getting object's acl -----" print conn.get_acl(BUCKET_NAME, KEY_NAME).object.data print "\n----- path style url example -----"; print "Non-location-constrained buckets can also be specified as part of the url path. (This was the original url style supported by S3.)\n"; print "Try this url out in your browser (it will only be valid for 60 seconds).\n" generator.calling_format = S3.CallingFormat.PATH url = generator.get(BUCKET_NAME, KEY_NAME) print url print "\npress enter> ", sys.stdin.readline() print '----- deleting objects -----' print conn.delete(BUCKET_NAME, KEY_NAME).message print conn.delete(BUCKET_NAME, KEY_NAME + '-public').message print '----- listing bucket -----' print map(lambda x: x.key, conn.list_bucket(BUCKET_NAME).entries) print '----- listing all my buckets -----' print map(lambda x: x.name, conn.list_all_my_buckets().entries) print '----- deleting bucket ------' print conn.delete_bucket(BUCKET_NAME).message

4b1ec72cd59cc0bdeabf8053a9474d679e3c099c

py

Python

src/main/tools/dbpy/FotechUtils/dbUtils.py

inqwell/inq

31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3

2016-09-25T16:41:57.000Z

2016-09-25T16:41:57.000Z

src/main/tools/dbpy/FotechUtils/dbUtils.py

inqwell/inq

31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3

src/main/tools/dbpy/FotechUtils/dbUtils.py

inqwell/inq

31ce4cd6b9b123b1ec4462905ccbcf7c00d6efc3

2016-09-25T16:48:49.000Z

2020-05-26T20:00:33.000Z

# # $Header: /home/inqwell/cvsroot/dev/scripts/python/FotechUtils/dbUtils.py,v 1.1 2009/05/22 22:16:32 sanderst Exp $ # import KBC.fotech from Util import db from dbConfig import configurationProvider def getConnection( confile, system, level, access = "read", site = None, user = None, pwdfile = None ): """ Partial replacement for the db.py mess in cbtech/python2.5. You should use /prod/fotech/bin/generateDatabaseXml.py to generate an xml file containing your system/level config from the old db.py. Then replace any call to db.getConnection with dbUtils.getConnection and you should get back the same object that you would have got in the old strategy. """ config = configurationProvider( confile, pwdfile ) vendor, server, user, password, schema, host, port = config.getConnectionDetails( system, level, access, site, user ) return db._getConnection( vendor.upper(), server, schema, user, password )