index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
88,651 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/factory.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,652 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/base_utils.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,653 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/config_template.py | config = {"jobs":{
"export_customers": {
"query_job": {
"source": {
"table_id": "table name",
"dataset_id": "dataset id",
"project_id": "GCP project id",
"query_path": "... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,654 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/stress/marreco.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,655 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/unit/gae/test_base_utils.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,656 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/worker.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,657 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/recommender.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,658 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/scheduler.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,659 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/stress/config_template.py | config = {"bucket": "bucket where intermediary dataproc data is located",
"gcs_prefix": "prefix to retrieve blobs, such as folder/subfolder",
"days_of_data": "how many days to load into locust testing"
}
| {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,660 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/system/dataproc/jobs/test_base.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,661 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/system/dataflow/test_build_datastore_template.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,662 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/connector/dataflow.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,663 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /nox.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,664 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/utils.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,665 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/system/dataproc/jobs/test_dimsum.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,666 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/connector/dataproc.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,667 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/unit/gae/connector/test_datastore.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,668 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /gae/connector/datastore.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,669 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/unit/gae/connector/test_dataflow.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,670 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /dataproc/jobs/base.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,671 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /dataflow/build_datastore_template.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,672 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /tests/system/dataproc/jobs/base_fixture.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,673 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /dataproc/jobs/factory.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,674 | MAhsanAkhtar/BDA_TERM_PROJECT | refs/heads/master | /dataproc/jobs/naive.py | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#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, publi... | {"/tests/unit/gae/test_worker.py": ["/gae/worker.py"], "/tests/unit/gae/test_recommender.py": ["/gae/recommender.py"], "/tests/unit/gae/test_main.py": ["/gae/main.py"], "/tests/system/dataproc/jobs/test_base.py": ["/dataproc/jobs/base.py"], "/tests/system/dataflow/test_build_datastore_template.py": ["/dataflow/build_da... |
88,676 | parallelworks/jetstream | refs/heads/master | /jetstream/cloud/aws_s3.py | import os
import subprocess
from .base import CloudStorageSession, is_remote_uri, path_conversion
class AWSS3StorageSession(CloudStorageSession):
config_key = 'aws_params'
def __init__(self, aws_sif_path=None, aws_profile='default', aws_region=None, aws_output=None,
aws_access_key_id=Non... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,677 | parallelworks/jetstream | refs/heads/master | /tests/test_run_templates.py | import os
import tempfile
import jetstream
from unittest import TestCase
from jetstream.cli import main as cli_main
jetstream.settings.clear()
jetstream.settings.read(user=False)
TESTS_DIR = os.path.dirname(os.path.abspath(__file__))
TEST_TEMPLATES = os.path.join(TESTS_DIR, 'templates')
class TestCliRunT... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,678 | parallelworks/jetstream | refs/heads/master | /jetstream/cloud/shared_nfs.py | import os
import subprocess
from uuid import uuid4
from .base import CloudStorageSession, path_conversion, is_remote_uri
class SharedNFSStorage(CloudStorageSession):
config_key = 'shared_nfs_params'
def __init__(self, client_nfs_root='/mnt/efs/pworks', workers_nfs_root='/mnt/shared/pworks'):
#... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,679 | parallelworks/jetstream | refs/heads/master | /jetstream/cloud/base.py | from datetime import datetime
from abc import ABC, abstractmethod
import asyncio
from asyncio import create_subprocess_shell
import os
import urllib
import time
CLOUD_STORAGE_PROVIDERS = {
'azure': 'jetstream.cloud.azure.AzureStorageSession',
'aws': 'jetstream.cloud.aws_s3.AWSS3StorageSession',
'shared_nfs... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,680 | parallelworks/jetstream | refs/heads/master | /jetstream/start_pool.py | import os
import argparse
import subprocess
import threading
import uuid
import socket
import concurrent.futures
worker_script = """#!/bin/bash
slog=/tmp/worker-startup.log
workerdownload=https://go.parallel.works/fixed/lib/worker.pl
echo "RUNNING STARTUP SCRIPT"
slog()
{{
TS=$(date +%Y.%m%d.%H%M%S).$(date +%N |... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,681 | parallelworks/jetstream | refs/heads/master | /jetstream/cloud/azure.py | import os
import json
import subprocess
from datetime import datetime
import urllib
from .base import CloudStorageSession, is_remote_uri, path_conversion
class AzureStorageSession(CloudStorageSession):
"""
Provider for Azure blob storage.
"""
config_key = 'azure_params'
def __init__(self, az... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,682 | parallelworks/jetstream | refs/heads/master | /jetstream/backends/cloud.py | import logging
import asyncio
import jetstream
from jetstream.backends import BaseBackend
from asyncio import BoundedSemaphore, create_subprocess_shell, CancelledError
import os
import sys
import requests
import json
from random import randint
import re
from time import sleep
import sys
import tempfile
import glob
impo... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,683 | parallelworks/jetstream | refs/heads/master | /jetstream/backends/__init__.py | import os
import random
class BaseBackend(object):
"""To subclass a backend, just override the "spawn" method with a
coroutine. max_concurrency can be set to limit the number of jobs
that a backend will allow to spawn concurrently."""
def __init__(self):
self.runner = None
self.corouti... | {"/jetstream/cloud/aws_s3.py": ["/jetstream/cloud/base.py"], "/jetstream/cloud/azure.py": ["/jetstream/cloud/base.py"], "/jetstream/backends/cloud.py": ["/jetstream/backends/__init__.py", "/jetstream/cloud/azure.py", "/jetstream/cloud/base.py"]} |
88,686 | AnanthakrishnanAG/Employee-management | refs/heads/master | /schedule/urls.py | from django.urls import path,include
from . import views
from rest_framework import routers
router=routers.DefaultRouter()
router.register('users',views.EmpView, basename='users')
router.register('periods',views.ActivityPeriodView, basename='periods')
urlpatterns=[
path('',include(router.urls)),
] | {"/schedule/views.py": ["/schedule/models.py", "/schedule/serializers.py"], "/schedule/serializers.py": ["/schedule/models.py"], "/schedule/admin.py": ["/schedule/models.py"]} |
88,687 | AnanthakrishnanAG/Employee-management | refs/heads/master | /schedule/models.py | from django.db import models
# database model for activity periods
class ActivityPeriod(models.Model):
start_time=models.DateTimeField(null=False)
end_time=models.DateTimeField(null=False)
class Meta:
db_table = "ActivityPeriod"
# def __str__(self):
# return self.name
#... | {"/schedule/views.py": ["/schedule/models.py", "/schedule/serializers.py"], "/schedule/serializers.py": ["/schedule/models.py"], "/schedule/admin.py": ["/schedule/models.py"]} |
88,688 | AnanthakrishnanAG/Employee-management | refs/heads/master | /schedule/views.py | from django.shortcuts import render,HttpResponseRedirect,redirect,HttpResponse
from .models import ActivityPeriod,User
from . serializers import UserSerializer,ActivityPeriodsSerializer
from rest_framework import viewsets
from rest_framework.response import Response
#view for the emp-list
class EmpView(viewsets.Mo... | {"/schedule/views.py": ["/schedule/models.py", "/schedule/serializers.py"], "/schedule/serializers.py": ["/schedule/models.py"], "/schedule/admin.py": ["/schedule/models.py"]} |
88,689 | AnanthakrishnanAG/Employee-management | refs/heads/master | /schedule/forms.py | # from django import forms
# class Employee(forms.Form):
# id=forms.CharField(max_length=20,widget=forms.TextInput(attrs={'class':'input','placeholder':'ID'}),error_messages={'required':'please enter an ID'})
# real_name=forms.CharField(max_length=50,widget=forms.TextInput(attrs={'class':'input','placeholder':'... | {"/schedule/views.py": ["/schedule/models.py", "/schedule/serializers.py"], "/schedule/serializers.py": ["/schedule/models.py"], "/schedule/admin.py": ["/schedule/models.py"]} |
88,690 | AnanthakrishnanAG/Employee-management | refs/heads/master | /schedule/serializers.py | from rest_framework import serializers
from . models import User,ActivityPeriod
class ActivityPeriodsSerializer(serializers.ModelSerializer):
class Meta:
model=ActivityPeriod
fields=('start_time','end_time')
class UserSerializer(serializers.ModelSerializer):
activity_periods=ActivityPeri... | {"/schedule/views.py": ["/schedule/models.py", "/schedule/serializers.py"], "/schedule/serializers.py": ["/schedule/models.py"], "/schedule/admin.py": ["/schedule/models.py"]} |
88,691 | AnanthakrishnanAG/Employee-management | refs/heads/master | /schedule/admin.py | from django.contrib import admin
from . models import ActivityPeriod,User
admin.site.register(User)
admin.site.register(ActivityPeriod)
| {"/schedule/views.py": ["/schedule/models.py", "/schedule/serializers.py"], "/schedule/serializers.py": ["/schedule/models.py"], "/schedule/admin.py": ["/schedule/models.py"]} |
88,692 | besnyder/pydantic-yaml | refs/heads/main | /pydantic_yaml/enums.py | from enum import Enum
from pydantic_yaml._yaml import yaml
__all__ = ["YamlEnum"]
def _repr_enum(dumper: yaml.Dumper, data: Enum):
"""Represent enums without additional hastles."""
return dumper.represent_str(data.value)
class YamlEnum(Enum):
"""Enumeration that serializes as the proper underlying obje... | {"/pydantic_yaml/enums.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/aux_types.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/models.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/__init__.py": ["/pydantic_yaml/enums.py", "/pydantic_yaml/models.py"]} |
88,693 | besnyder/pydantic-yaml | refs/heads/main | /pydantic_yaml/_yaml.py | # flake8: noqa
try:
import ruamel.yaml as yaml
if yaml.__version__ < "0.15.0":
__yaml_lib__ = "ruamel-old"
else:
__yaml_lib__ = "ruamel-new"
except ImportError:
try:
import yaml
__yaml_lib__ = "pyyaml"
except ImportError:
raise ImportError(
"Cou... | {"/pydantic_yaml/enums.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/aux_types.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/models.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/__init__.py": ["/pydantic_yaml/enums.py", "/pydantic_yaml/models.py"]} |
88,694 | besnyder/pydantic-yaml | refs/heads/main | /pydantic_yaml/aux_types.py | """Dumping for auxilliary types that are commonly used."""
from uuid import UUID
from pathlib import (
Path,
PosixPath,
PurePath,
PurePosixPath,
PureWindowsPath,
WindowsPath,
)
from pydantic_yaml._yaml import yaml
def _repr_path(dumper, node):
return dumper.represent_str(str(node))
for... | {"/pydantic_yaml/enums.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/aux_types.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/models.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/__init__.py": ["/pydantic_yaml/enums.py", "/pydantic_yaml/models.py"]} |
88,695 | besnyder/pydantic-yaml | refs/heads/main | /pydantic_yaml/models.py | from __future__ import annotations
from pathlib import Path
from typing import Callable, Optional, Type, Any, Union
from pydantic.main import BaseModel
from pydantic.error_wrappers import ErrorWrapper, ValidationError
from pydantic.types import StrBytes
from pydantic.parse import Protocol
from pydantic.utils import R... | {"/pydantic_yaml/enums.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/aux_types.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/models.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/__init__.py": ["/pydantic_yaml/enums.py", "/pydantic_yaml/models.py"]} |
88,696 | besnyder/pydantic-yaml | refs/heads/main | /setup.py | import importlib.util
from pathlib import Path
from setuptools import setup
description = "Adds some YAML functionality to the excellent `pydantic` library."
with (Path(__file__).parent / "README.md").open() as f:
long_description = f.read()
# Get version
spec = importlib.util.spec_from_file_location(
"pyda... | {"/pydantic_yaml/enums.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/aux_types.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/models.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/__init__.py": ["/pydantic_yaml/enums.py", "/pydantic_yaml/models.py"]} |
88,697 | besnyder/pydantic-yaml | refs/heads/main | /pydantic_yaml/__init__.py | """YAML-enabled Pydantic models."""
from pathlib import Path
__all__ = ["__version__", "YamlEnum", "YamlModel"]
from . import aux_types # noqa
from .enums import YamlEnum
from .models import YamlModel
from .version import __version__
| {"/pydantic_yaml/enums.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/aux_types.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/models.py": ["/pydantic_yaml/_yaml.py"], "/pydantic_yaml/__init__.py": ["/pydantic_yaml/enums.py", "/pydantic_yaml/models.py"]} |
88,698 | ErillLab/TF_GA | refs/heads/master | /src/search_organisms.py | """Main execution
This program searches for models that fit an specific motif.
"""
import time
import random
import copy
import json
import os
import cProfile
import pstats
import io
import numpy as np
from objects.organism_factory import OrganismFactory
from Bio import SeqIO
"""
Variable definition
"""
POPULATION_... | {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,699 | ErillLab/TF_GA | refs/heads/master | /src/objects/organism_factory.py | """Organism Factory creates organisms, connectors and pssms
"""
import random
import json
import numpy
from .organism_object import OrganismObject
from .connector_object import ConnectorObject
from .pssm_object import PssmObject
class OrganismFactory:
"""Factory
"""
def __init__(self, conf_org, conf_org... | {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,700 | ErillLab/TF_GA | refs/heads/master | /src/objects/node_object.py | """Node abstract object to support conector and recognizing objects
"""
# pylint: disable=R0903
class Node:
"""Abstract class inhereted by all components of an organism
TODO: Pass common methods to this class
"""
def __init__(self):
pass
| {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,701 | ErillLab/TF_GA | refs/heads/master | /src/objects/organism_object.py | """
Oragnism object
It allocates the full data structure
"""
import random
import numpy as np
class OrganismObject:
"""Organism object
"""
def __init__(self, _id: int, conf: dict, root_node=None) -> None:
"""Organism constructor
Args:
_id: Organism identifier
con... | {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,702 | ErillLab/TF_GA | refs/heads/master | /src/test_organism.py | """Tests an organism Fitness
"""
from search_organisms import read_fasta_file, read_json_file, export_organism
from objects.organism_factory import OrganismFactory
CONFIG_FILE = "config.json"
def main():
"""Main execution for the test organisms
"""
config = read_json_file(CONFIG_FILE)
posititve_pa... | {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,703 | ErillLab/TF_GA | refs/heads/master | /src/objects/pssm_object.py | """P object
Saves al specific PSSM data structure
"""
import random
from objects.node_object import Node
import numpy as np
class PssmObject(Node):
"""PSSM object
"""
def __init__(self, pwm, config: dict) -> None:
"""PSSM constructor
Args:
pwm (numpy.array): PWM
c... | {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,704 | ErillLab/TF_GA | refs/heads/master | /src/objects/connector_object.py | """C object
Connects two nodes at a specific distance
"""
# pylint: disable=E0402
# type: ignore
import random
from .node_object import Node
import numpy as np
# pylint: disable=R0902
class ConnectorObject(Node):
"""Connector Object is a node that connects two nodes
"""
# pylint: disable=R0913
def ... | {"/src/objects/organism_factory.py": ["/src/objects/organism_object.py", "/src/objects/connector_object.py", "/src/objects/pssm_object.py"], "/src/objects/connector_object.py": ["/src/objects/node_object.py"]} |
88,755 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /app/irsystem/controllers/search_controller.py | from . import *
from app.irsystem.models.helpers import *
from app.irsystem.models.helpers import NumpyEncoder as NumpyEncoder
from flask import send_from_directory
from flask import request
from json import dumps, loads
from app.irsystem.models.search import Searcher
from app.irsystem.models.imagesearch import ImageSe... | {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,756 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /app.py | from app import app, socketio
from flask_cors import CORS
if __name__ == "__main__":
print("Flask app running at http://0.0.0.0:5000")
CORS(app)
socketio.run(app, host="0.0.0.0", port=5000)
| {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,757 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /tfidfprocessing.py | #!/usr/bin/env python
# coding: utf-8
from __future__ import print_function
from sklearn.feature_extraction.text import TfidfVectorizer
from scipy.sparse.linalg import svds
import numpy as np
from numpy import linalg as LA
import math
import re
import string
import pickle
from sklearn.preprocessing import normalize
... | {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,758 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /preprocessor.py | import pandas as pd
from os import listdir
from os.path import join
from pickle import dump
details = pd.read_csv("data/raw/details.csv",
usecols=["Make", "Model", "Year", "Transmission Type", "Driven_Wheels", "Engine Fuel Type",
"Market Category", "Vehicle Size", "Vehicle Style", "highway MPG",
"city mp... | {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,759 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /kmeans.py | from sklearn.cluster import KMeans
import numpy as np
import pickle
# https://stackoverflow.com/questions/27889873/clustering-text-documents-using-scikit-learn-kmeans-in-python
# fine-tuning number of clusters: 5, then 4 and 6
NUM_CLUSTERS = 8
with open('data/index_to_vocab.pkl', 'rb') as index_vocab_pkl:
index_to_v... | {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,760 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /app/irsystem/models/imagesearch.py | import base64
from os.path import join
class ImageSearcher:
def __init__(self, data_path="data/images"):
self.data_path = data_path
def image_search(self, make_model):
print(join(self.data_path, make_model + '.jpg'))
with open(join(self.data_path, make_model + '.jpg'), 'rb') as image_file:... | {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,761 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /app/irsystem/models/search_test.py | from search import Searcher
searcher = Searcher("../../../data")
results = searcher.search(2, 2, 0, 1000000, ["bmw,luxury"])
print(results)
| {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,762 | haramkim-1/cs4300sp2019-jc2729-hk592-ss2972-nyr2-jkk95 | refs/heads/master | /app/irsystem/models/search.py | import pickle
import numpy as np
from os.path import join
from sklearn.feature_extraction.text import TfidfVectorizer
import re
from sklearn.preprocessing import normalize
from scipy.sparse.linalg import svds
"""Returns a list of words that make up the text.
Note: for simplicity, lowercase everything.
Used R... | {"/app/irsystem/controllers/search_controller.py": ["/app/irsystem/models/search.py", "/app/irsystem/models/imagesearch.py"]} |
88,777 | arnaudvl/world-models-ppo | refs/heads/master | /vae/__init__.py | from .vae import VAE, loss_vae
__all__ = ["VAE", "loss_vae"]
| {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,778 | arnaudvl/world-models-ppo | refs/heads/master | /env/carracing.py | import argparse
import gym
import numpy as np
import os
from typing import Tuple
def run_env(n_episode: int = 50,
n_step: int = 1000,
scale: bool = True
) -> Tuple[np.ndarray, np.ndarray]:
"""
Carracing environment rollouts.
Parameters
----------
n_episode
... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,779 | arnaudvl/world-models-ppo | refs/heads/master | /rl/algos/ppo/agents.py | import torch
import torch.nn as nn
from typing import Callable, Union
from vae.vae import VAE
from mdnrnn.mdnrnn import MDNRNN
from utils.vars import CHANNELS, LATENT_SIZE, HIDDEN_SIZE, N_GAUSS
class WorldModel(nn.Module):
def __init__(self,
action_dim: int,
output_dim: int,
... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,780 | arnaudvl/world-models-ppo | refs/heads/master | /vae/vae.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Tuple
def loss_vae(x_recon, x, mu, logsigma):
""" VAE loss function. Reconstruction + KL divergence losses summed over all elements and batch. """
# MSE reconstruction loss
BCE = F.mse_loss(x_recon, x, size_average=Fals... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,781 | arnaudvl/world-models-ppo | refs/heads/master | /__init__.py | from . import env, mdnrnn, vae, utils, rl
__all__ = ["env", "mdnrnn", "vae", "utils", "rl"]
| {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,782 | arnaudvl/world-models-ppo | refs/heads/master | /vae/train.py | import argparse
import numpy as np
import os
import torch
from torch.optim import Adam
from torch.optim.lr_scheduler import StepLR
from torchvision import transforms
from tqdm import tqdm_notebook
from vae import VAE, loss_vae
from utils.loaders import GymDataset, collate_fn, generate_obs, save_checkpoint
from utils.va... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,783 | arnaudvl/world-models-ppo | refs/heads/master | /rl/__init__.py | from rl.algos.ppo.ppo import ppo
from rl.utils.logx import Logger, EpochLogger
| {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,784 | arnaudvl/world-models-ppo | refs/heads/master | /utils/loaders.py | import numpy as np
import os
import torch
from typing import Tuple
def save_checkpoint(state: dict, is_best: bool, filename: str, best_filename: str):
""" Save state in filename. Also save in best_filename if is_best. """
torch.save(state, filename)
if is_best:
torch.save(state, best_filename)
d... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,785 | arnaudvl/world-models-ppo | refs/heads/master | /utils/vars.py | H, W = 64, 64
BATCH_SIZE = 64
CHANNELS = 3
LATENT_SIZE = 32
LR = 1e-3
GRAD_ACCUMULATION_STEPS = 1
SEQ_LEN = 3
ACTION_SIZE = 3
HIDDEN_SIZE = 256
N_GAUSS = 5
| {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,786 | arnaudvl/world-models-ppo | refs/heads/master | /rl/algos/ppo/policies.py | import torch
import torch.nn as nn
from torch.distributions.normal import Normal
from typing import Callable, Tuple, Union
from .agents import WorldModel
class GaussianPolicyWM(nn.Module):
def __init__(self,
action_dim: int,
activation: Callable = torch.relu,
out... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,787 | arnaudvl/world-models-ppo | refs/heads/master | /mdnrnn/train.py | import argparse
import numpy as np
import os
import torch
from torch.optim import RMSprop
from torch.optim.lr_scheduler import StepLR
from torch.utils.data import DataLoader
from torchvision import transforms
from tqdm import tqdm_notebook
from vae import VAE
from mdnrnn import MDNRNN, gmm_loss
from utils.loaders impor... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,788 | arnaudvl/world-models-ppo | refs/heads/master | /mdnrnn/__init__.py | from .mdnrnn import MDNRNN, gmm_loss
__all__ = ["MDNRNN", "gmm_loss"]
| {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,789 | arnaudvl/world-models-ppo | refs/heads/master | /utils/optimizer.py | import math
from torch.optim import Optimizer
class AdamW(Optimizer):
def __init__(self,
params,
lr: float = 1e-3,
betas: tuple = (0.9, 0.999),
eps: float = 1e-6,
weight_decay: float = 0.0,
correct_bias: bool = ... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,790 | arnaudvl/world-models-ppo | refs/heads/master | /mdnrnn/mdnrnn.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.normal import Normal
from typing import Tuple
def gmm_loss(batch: torch.Tensor,
mus: torch.Tensor,
sigmas: torch.Tensor,
logpi: torch.Tensor,
reduce: bool = True) -> torch.Te... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,791 | arnaudvl/world-models-ppo | refs/heads/master | /rl/algos/ppo/actorcritic.py | from gym.spaces import Box, Discrete
import torch
import torch.nn as nn
from typing import Callable, Tuple, Union
from rl.algos.ppo.agents import WorldModel
from rl.algos.ppo.policies import GaussianPolicyWM
class ActorCriticWM(nn.Module):
def __init__(self,
action_space: Union[Box, Discrete] = N... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,792 | arnaudvl/world-models-ppo | refs/heads/master | /rl/algos/ppo/preprocess.py | import cv2
import numpy as np
from typing import Tuple
def preprocess_obs(obs: np.ndarray,
grayscale: bool = False,
minmax: Tuple[float, float] = None,
obs_old: np.ndarray = None,
frames: int = 1,
resize: Tuple[int, int] = ... | {"/vae/__init__.py": ["/vae/vae.py"], "/rl/algos/ppo/agents.py": ["/vae/vae.py", "/mdnrnn/mdnrnn.py", "/utils/vars.py"], "/vae/train.py": ["/vae/__init__.py", "/utils/loaders.py", "/utils/vars.py"], "/rl/algos/ppo/policies.py": ["/rl/algos/ppo/agents.py"], "/mdnrnn/train.py": ["/vae/__init__.py", "/mdnrnn/__init__.py",... |
88,798 | rort2112/InterTex-Feature-Descriptor | refs/heads/main | /util/util.py | import cv2
import numpy as np
import sys
def readkp(filename):
def is_float(n):
try:
float(n)
return True
except:
return False
kp_des_temp = []
counter = 0
num_kp = 0
des_len = 0
with open(filename, "r") as file:
for line in file.read... | {"/match_pairs_CVWARPPER.py": ["/util/util.py"], "/demo.py": ["/util/util.py"]} |
88,799 | rort2112/InterTex-Feature-Descriptor | refs/heads/main | /match_pairs_CVWARPPER.py |
import os
import sys
import cv2
from threading import Thread
from os.path import isfile, join
import numpy as np
from tempfile import TemporaryFile
from os import listdir
import string
import argparse
import subprocess
# FFD cv2Wrapper
import prcv
from util.util import Matcher_NNDR2
if __name__ == '__main__':
... | {"/match_pairs_CVWARPPER.py": ["/util/util.py"], "/demo.py": ["/util/util.py"]} |
88,800 | rort2112/InterTex-Feature-Descriptor | refs/heads/main | /demo.py | import os
import sys
import numpy as np
import argparse
import subprocess
import time
from util.util import readkp
if __name__ == '__main__':
curr_dir = os.getcwd()
parser = argparse.ArgumentParser(
description='Image pair matching and pose evaluation with SuperGlue',
formatter_class=argparse... | {"/match_pairs_CVWARPPER.py": ["/util/util.py"], "/demo.py": ["/util/util.py"]} |
88,845 | libero/python-project-poc | refs/heads/master | /test_proj/__init__.py | from flask import Flask
from test_proj.example import get_example_blueprint
def create_app() -> Flask:
app = Flask(__name__)
app.register_blueprint(get_example_blueprint())
return app
| {"/test_proj/__init__.py": ["/test_proj/example.py"], "/tests/test_project.py": ["/test_proj/__init__.py"]} |
88,846 | libero/python-project-poc | refs/heads/master | /test_proj/example.py | from flask import Blueprint
def get_example_blueprint() -> Blueprint:
example = Blueprint('example', __name__)
@example.route('/')
def hello() -> str: # pylint: disable=unused-variable
return "Hello World!"
return example
| {"/test_proj/__init__.py": ["/test_proj/example.py"], "/tests/test_project.py": ["/test_proj/__init__.py"]} |
88,847 | libero/python-project-poc | refs/heads/master | /tests/test_project.py | from test_proj import create_app
def test_logging() -> None:
app = create_app()
client = app.test_client()
response = client.get('/')
assert response.data == b'Hello World!'
| {"/test_proj/__init__.py": ["/test_proj/example.py"], "/tests/test_project.py": ["/test_proj/__init__.py"]} |
88,849 | littlerain2310/Measure-Speed | refs/heads/master | /util.py | from glob import glob
def image_files_from_folder(folder,upper=True):
extensions = ['jpg','jpeg','png']
img_files = []
for ext in extensions:
img_files += glob('%s/*.%s' % (folder,ext))
if upper:
img_files += glob('%s/*.%s' % (folder,ext.upper()))
return img_files
def bbox_to_centroid(bbox):
"""
Co... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,850 | littlerain2310/Measure-Speed | refs/heads/master | /detect.py |
import torch
import numpy as np
import cv2
from time import time
import sys
class ObjectDetection:
"""
The class performs generic object detection on a video file.
It uses yolo5 pretrained model to make inferences and opencv2 to manage frames.
Included Features:
1. Reading and writing of video fi... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,851 | littlerain2310/Measure-Speed | refs/heads/master | /eval_detect_tracking.py | from detect import DetectImage
from tracker import DeepSort
import cv2
import sys
from util import image_files_from_folder
input_dir = sys.argv[1]
img_files = image_files_from_folder(input_dir)
det = DetectImage(classes=[0])
car_track = DeepSort()
detect = ''
#grab last 4 characters of the file name:
def last_4... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,852 | littlerain2310/Measure-Speed | refs/heads/master | /tracker.py | from sort.sort import *
from deep_sort import nn_matching,preprocessing
from deep_sort.detection import Detection
from deep_sort.tracker import Tracker
from tools import generate_detections as gdet
from detect import ObjectDetection
import cv2
from util import xy_xywh
import numpy as np
import random
import colorsys
c... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,853 | littlerain2310/Measure-Speed | refs/heads/master | /Measurespeed.py | from tracker import DeepSort
from detect import ObjectDetection
from trackableobject import TrackableObject
import cv2
import random
from util import bbox_to_centroid
import colorsys
import time
import numpy as np
class MeasureSpeed:
def __init__(self,input,output = 'result.avi'):
self.tracker = DeepSort()... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,854 | littlerain2310/Measure-Speed | refs/heads/master | /test.py | from pickle import TRUE
import cv2
import torch
from PIL import Image
# Model
model = torch.hub.load('ultralytics/yolov5', 'custom', path='model_data/best.pt') # default
# Images
# for f in ['zidane.jpg', 'bus.jpg']:
# torch.hub.download_url_to_file('https://ultralytics.com/images/' + f, f) # download 2 images
... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,855 | littlerain2310/Measure-Speed | refs/heads/master | /eval_tracker.py | from typing import List
from scipy.optimize.optimize import main
from tracker import DeepSort
from functools import partial
import sys
import cv2
import os
from collections import defaultdict
# from sort.sort import *
def init_list_of_objects(size):
list_of_objects = list()
for i in range(0,size):
list... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,856 | littlerain2310/Measure-Speed | refs/heads/master | /eval_detect.py | from detect import DetectImage
from util import image_files_from_folder
import sys
a = DetectImage(classes= [0])
files = sys.argv[1]
output = sys.argv[2]
img_files = image_files_from_folder(files)
for img_path in img_files:
filename = img_path.split('/')[-1]
filename = filename.split('.')[0]
_,cars = a.g... | {"/eval_detect_tracking.py": ["/detect.py", "/tracker.py", "/util.py"], "/tracker.py": ["/detect.py", "/util.py"], "/Measurespeed.py": ["/tracker.py", "/detect.py", "/util.py"], "/eval_tracker.py": ["/tracker.py"], "/eval_detect.py": ["/detect.py", "/util.py"]} |
88,870 | SlawekMaciejewski/Python_exercises | refs/heads/master | /functions/func_default_args.py | from typing import List
def add_emp(emp: str, emp_list: List[str]=[]) -> List: # Pycharm podpowiada aby zamienic pustą listę na None
emp_list.append(emp)
return emp_list
def add_emp_ok(emp: str, emp_list: List[str]=None) -> List:
if not emp_list:
emp_list = []
emp_list.append(emp)
return ... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,871 | SlawekMaciejewski/Python_exercises | refs/heads/master | /structures/heap.py | import random
from heapq import heappush, heappop
def heapsort(iterable):
heap = []
for value in iterable:
heappush(heap, value)
return [heappop(heap) for i in range(len(heap))]
if __name__ == '__main__':
random_list = random.sample(range(100), 10)
print(random_list)
sorted_list = heap... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,872 | SlawekMaciejewski/Python_exercises | refs/heads/master | /src/lists_odd_even.py | def lists_odd_or_even(list):
if list[0] % 2 == 0:
return list[::2]
elif list[0] % 2 != 0:
return list[::2]
if __name__ == '__main__':
list1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
list2 = [2, 3, 4, 5, 6, 7, 8, 9, 10]
print(lists_odd_or_even(list1))
print(lists_odd_or_even(list2)) | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,873 | SlawekMaciejewski/Python_exercises | refs/heads/master | /src/scrabble.py | scores = {'a': 1, 'e': 1, 'i': 1, 'o': 1, 'u': 1, 'l': 1, 'n': 1, 'r': 1, }
def scrabble_score(word: str):
# total_score = 0
# for letter in word.lower():
# total_score += scores[letter]
# return total_score
print([scores[letter] for letter in word]) # tworzy liste scores, ktora ponizej funkcj... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,874 | SlawekMaciejewski/Python_exercises | refs/heads/master | /imports/package1/import1.py | class Klasa1:
print('Klasa1')
def __init__(self):
self.a = 10
self.b = 20
print('init1')
print(f'init1 name: {__name__}')
def sums(self, a, b):
print('metoda sums1')
return a + b
print(f'First Module\'s name: {__name__}')
if __name__ == '__main__':
obie... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,875 | SlawekMaciejewski/Python_exercises | refs/heads/master | /functions/simply_decorator.py | from functools import wraps
def my_deocrator(func):
def wrapper():
return 'Decorated --> ' + func() + ' <-- Decorated'
return wrapper
def my_deocrator2(func):
def wrapper(*args, **kwargs):
return 'Decorated --> ' + func(*args, **kwargs) + ' <-- Decorated'
return wrapper
def my_de... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,876 | SlawekMaciejewski/Python_exercises | refs/heads/master | /src/check_pesel.py | import datetime
import re
def calculate_checksum_from_pesel(pesel: str) -> int:
weights_of_a_number = (9, 7, 3, 1, 9, 7, 3, 1, 9, 7)
list_checksum = []
checksum = 0
for p, n in zip(pesel, weights_of_a_number):
list_checksum.append(int(n) * int(p))
print(list_checksum)
for element in li... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,877 | SlawekMaciejewski/Python_exercises | refs/heads/master | /examples/sets.py | my_set = {5, 3, 4, 2, 2, 5, 5, 4}
my_set2 = {7, 1, 2, 2, 3, 3, 4, 4, 4}
print('my_set', my_set)
print('my_set2', my_set2)
list_duplicate = [1, 1, 2, 3, 3, 4, 4, 5, 5, 5, 6]
list_without_duplicate = list(set(list_duplicate))
print(list_without_duplicate)
my_set.remove(2)
print('my_set.remove(2)-->', my_set)
my_set.disc... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,878 | SlawekMaciejewski/Python_exercises | refs/heads/master | /src/izogram.py | def izogram(word):
lenght = len(word)
my_set = set(word)
lenght_set = len(my_set)
if lenght != lenght_set:
print('It is not izogram!')
else:
print('Is it izogram')
def izogram2(word):
return len(word) == len(set(word))
def izogram3(word: str):
letters = set()
for lett... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,879 | SlawekMaciejewski/Python_exercises | refs/heads/master | /structures/file_operations.py | import gzip
import tarfile
if __name__ == '__main__':
f = open('test.txt', 'w')
f.write('Ala ma kota')
f.close()
try:
f = open('test1.txt', 'x')
f.write('kkkk')
except FileExistsError:
print('File exists')
finally:
f.close()
f = open('test1.txt', 'r') #... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
88,880 | SlawekMaciejewski/Python_exercises | refs/heads/master | /books/slatkin_ 59_specific_ways/10_enumerate.py | from random import randint
# Przykład 2.
random_bits = 0
for i in range(5): # range używamy dla iterownia się po zbiorze liczb całkowitych
if randint(0, 1):
random_bits |= 1 << i
print(f'+1 dec: {random_bits} bin: {bin(random_bits)}')
print(f'indx loop "for" is {i} --> dec: {random_bits} b... | {"/imports/package2/import2.py": ["/imports/package1/import1.py"]} |
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