hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8186967767101fb35051d8aa2f45b3fbbdd6498c | 595 | py | Python | upylab/upylab_4.6.py | piousteph/mooc_python | b7446c8a8317e2ae5e87a9ce27fd107f20333765 | [
"MIT"
] | null | null | null | upylab/upylab_4.6.py | piousteph/mooc_python | b7446c8a8317e2ae5e87a9ce27fd107f20333765 | [
"MIT"
] | null | null | null | upylab/upylab_4.6.py | piousteph/mooc_python | b7446c8a8317e2ae5e87a9ce27fd107f20333765 | [
"MIT"
] | null | null | null | import random
def alea_dice(s):
random.seed(s)
d1 = random.randint(1, 6)
d2 = random.randint(1, 6)
d3 = random.randint(1, 6)
res = False
if d1 == 4 and d2 == 2 and d3 == 1:
res = True
elif d1 == 4 and d2 == 1 and d3 == 2:
res = True
elif d1 == 2 and d2 == 4 and d3 == 1:
res = True
elif d1 == 2 and d2 == 1 and d3 == 4:
res = True
elif d1 == 1 and d2 == 4 and d3 == 2:
res = True
elif d1 == 1 and d2 == 2 and d3 == 4:
res = True
else:
res = False
return res
print(alea_dice(1))
| 20.517241 | 41 | 0.478992 | 101 | 595 | 2.80198 | 0.237624 | 0.106007 | 0.194346 | 0.229682 | 0.522968 | 0.399293 | 0.399293 | 0 | 0 | 0 | 0 | 0.127424 | 0.393277 | 595 | 28 | 42 | 21.25 | 0.65651 | 0 | 0 | 0.347826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.130435 | 0.043478 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
818a54a6f34281622ebba63ffad0f4d0293acee0 | 3,918 | py | Python | ProjectSystem/login/views.py | matthew9602/Project-Management-System | ba74de0bfd4785a46fbe8b332d8bff1e4eb980a9 | [
"MIT"
] | 1 | 2021-04-01T17:30:58.000Z | 2021-04-01T17:30:58.000Z | ProjectSystem/login/views.py | MatthewTsan/Project-Management-System | ba74de0bfd4785a46fbe8b332d8bff1e4eb980a9 | [
"MIT"
] | null | null | null | ProjectSystem/login/views.py | MatthewTsan/Project-Management-System | ba74de0bfd4785a46fbe8b332d8bff1e4eb980a9 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http.response import HttpResponse, HttpResponseRedirect
import MySQLdb
from login import forms
# Create your views here.
def index(request):
if 'username' in request.POST or 'userpassword' in request.POST or 'username' in request.GET and 'userpassword' in request.GET:
print 'do check'
return check(request)
username = request.COOKIES.get('username','')
if username:
print 'username:' + username
position = checkPostion(username)
return render(request,"login/login.html",{"username":username,"position":position})
else:
return render(request,"login/login.html")
def check(request):
if request.method == "POST":
print 'getPost'
if 'username' in request.POST and 'userpassword' in request.POST:
username = request.POST['username']
userpassword = request.POST['userpassword']
# form = forms.LoginForm(request)
# username = form.username
# userpassword = form.userpassword
# print 'get name:' + username
# print 'get passwd:' + userpassword
if request.method == "GET":
print 'Method GET'
if 'username' in request.GET and 'userpassword' in request.GET:
username = request.GET['username']
userpassword = request.GET['userpassword']
if not username or not userpassword:
print 'username:' + username
print 'userpasswd:' + userpassword
print "please input username or password"
return render(request,'login/login.html',{'string':'please input username or password'})
print 'username:' + username
print 'userpasswd:' + userpassword
conn = MySQLdb.Connect(host = 'localhost',
user = 'root',
passwd = '07n0604',
port = 3306,
db = 'projectsystem')
cursor = conn.cursor()
sql = "SELECT * FROM user"
cursor.execute(sql)
print sql
rs = cursor.fetchall()
print rs
user_success = False
for raw in rs:
print raw
if raw[1] == username:
if raw[2] == userpassword:
user_success = True
if raw[3] == '0':
#return render(request, "admin_bookinfo\\book_info.html")
response = HttpResponseRedirect('/teacher/project/list/')
response.set_cookie('username', username, 3600)
return response
if raw[3] == '1':
response = HttpResponseRedirect('/student/project/list/')
response.set_cookie('username', username, 3600)
return response
print user_success
if not user_success:
return render(request, "login/login.html", {'string':"name or password error"})
def logout(request):
response = HttpResponseRedirect('/login/')
response.delete_cookie('username')
return response
def about(request):
username = request.COOKIES.get('username','')
if username:
print 'username:' + username
position = checkPostion(username)
return render(request,"login/about.html",{"username":username,"position":position})
else:
return render(request,"login/about.html")
def checkPostion(username):
sql = "select Position from user where Name = '" + username + "'"
conn = MySQLdb.connect(host = 'localhost',
user = 'root',
passwd = '07n0604',
port = 3306,
db = 'projectsystem')
cursor = conn.cursor()
cursor.execute('SET NAMES UTF8')
cursor.execute(sql)
rs = cursor.fetchall()
print 'sql = ' + sql
print rs
cursor.close()
conn.close()
return rs[0][0]
| 35.297297 | 131 | 0.580909 | 393 | 3,918 | 5.768448 | 0.236641 | 0.03176 | 0.058668 | 0.06352 | 0.497574 | 0.430525 | 0.375827 | 0.34142 | 0.34142 | 0.299956 | 0 | 0.013694 | 0.310362 | 3,918 | 110 | 132 | 35.618182 | 0.825315 | 0.068402 | 0 | 0.393258 | 0 | 0 | 0.185612 | 0.012081 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.157303 | 0.044944 | null | null | 0.179775 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
818c049f1649768bb25c79a6e8fbbdd73f556c0f | 19,643 | py | Python | tests/unit/test_access_check.py | anshubansal2000/cloudmapper | 86340a345b33b1dd3d3d67cd9914cbc039b4647f | [
"BSD-3-Clause"
] | 5,021 | 2018-02-20T14:27:33.000Z | 2022-03-31T23:40:48.000Z | tests/unit/test_access_check.py | sajathajk/cloudmapper | dd5aa06138bfbaca80f41f880c1709efa10c03c5 | [
"BSD-3-Clause"
] | 724 | 2018-02-20T15:51:01.000Z | 2022-03-24T20:40:23.000Z | tests/unit/test_access_check.py | sajathajk/cloudmapper | dd5aa06138bfbaca80f41f880c1709efa10c03c5 | [
"BSD-3-Clause"
] | 792 | 2018-02-20T16:21:43.000Z | 2022-03-30T13:14:17.000Z | import argparse
import unittest
import json
from nose.tools import assert_equal, assert_true, assert_false
from shared.common import parse_arguments
from commands.access_check import (
replace_principal_variables,
Principal,
get_privilege_statements,
get_allowed_privileges,
access_check_command,
)
class TestAccessCheck(unittest.TestCase):
def test_replace_principal_variables(self):
principal = Principal(
"AssumedRole",
[{"Key": "project", "Value": "prod"}, {"Key": "color", "Value": "blue"}],
username="role",
userid="",
)
assert_equal(replace_principal_variables("*", principal), "*")
# Ensure replacement works
assert_equal(
replace_principal_variables(
"arn:aws:sns:*:*:${aws:PrincipalTag/project}", principal
),
"arn:aws:sns:*:*:prod",
)
# Ensure case insensitive replacement works
assert_equal(
replace_principal_variables(
"arn:aws:sns:*:*:${aws:principaltag/project}", principal
),
"arn:aws:sns:*:*:prod",
)
# Ensure we don't replace unknown variables
assert_equal(
replace_principal_variables(
"arn:aws:sns:*:*:${aws:principaltag/app}", principal
),
"arn:aws:sns:*:*:${aws:principaltag/app}",
)
# Ensure multiple replacements works
assert_equal(
replace_principal_variables(
"arn:aws:sns:*:*:${aws:PrincipalTag/project}-${aws:PrincipalTag/color}",
principal,
),
"arn:aws:sns:*:*:prod-blue",
)
def test_get_privilege_statements(self):
principal = Principal(
"AssumedRole",
[{"Key": "project", "Value": "prod"}, {"Key": "color", "Value": "blue"}],
username="role",
userid="",
)
policy_doc = """
{
"Statement": [
{
"Action": "s3:GetObject",
"Effect": "Allow",
"Resource": "*"
},
{
"Sid": "AllowSNSAccessBasedOnArnMatching",
"Effect": "Allow",
"Action": [
"sns:Publish"
],
"Resource": [
"arn:aws:sns:*:*:${aws:PrincipalTag/project}-*"
]
}
],
"Version": "2012-10-17"
}"""
policy_doc = json.loads(policy_doc)
# Ensure this works at all
privilege_matches = [
{
"privilege_prefix": "s3",
"privilege_name": "GetObject",
"resource_type": "object",
}
]
assert_true(
len(
get_privilege_statements(
policy_doc,
privilege_matches,
"*",
principal,
policy_identifier="unit_test",
)
)
> 0
)
# Ensure it doesn't return anything when we check for a privilege we don't have (s3:PutObject)
privilege_matches = [
{
"privilege_prefix": "s3",
"privilege_name": "PutObject",
"resource_type": "object",
}
]
assert_true(
len(
get_privilege_statements(
policy_doc,
privilege_matches,
"*",
principal,
policy_identifier="unit_test",
)
)
== 0
)
# Check the SNS privilege
privilege_matches = [
{
"privilege_prefix": "sns",
"privilege_name": "Publish",
"resource_type": "topic",
}
]
assert_true(
len(
get_privilege_statements(
policy_doc,
privilege_matches,
"*",
principal,
policy_identifier="unit_test",
)
)
> 0
)
# Check it against a specific resource
assert_true(
len(
get_privilege_statements(
policy_doc,
privilege_matches,
"arn:aws:sns:*:*:prod-*",
principal,
policy_identifier="unit_test",
)
)
> 0
)
# Ensure we get zero when we use a different resource
assert_true(
len(
get_privilege_statements(
policy_doc,
privilege_matches,
"arn:aws:sns:*:*:dev-*",
principal,
policy_identifier="unit_test",
)
)
== 0
)
def test_get_allowed_privileges(self):
principal = Principal(
"AssumedRole",
[{"Key": "project", "Value": "prod"}, {"Key": "color", "Value": "blue"}],
username="role",
userid="",
)
policy_doc = """
{
"Statement": [
{
"Action": "s3:GetObject",
"Effect": "Allow",
"Resource": "*"
},
{
"Sid": "AllowSNSAccessBasedOnArnMatching",
"Effect": "Allow",
"Action": [
"sns:Publish"
],
"Resource": [
"arn:aws:sns:*:*:${aws:PrincipalTag/project}-*"
]
}
],
"Version": "2012-10-17"
}"""
policy_doc = json.loads(policy_doc)
privilege_matches = [
{
"privilege_prefix": "s3",
"privilege_name": "GetObject",
"resource_type": "object",
}
]
stmts = get_privilege_statements(
policy_doc, privilege_matches, "*", principal, policy_identifier="unit_test"
)
# Ensure we have allowed statements when there is no boundary
assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) > 0)
# Ensure we have allowed statements when the boundary matches what was allowed
assert_true(len(get_allowed_privileges(privilege_matches, stmts, stmts)) > 0)
policy_doc = """
{
"Statement": [
{
"Action": "*",
"Effect": "Deny",
"Resource": "*"
}
],
"Version": "2012-10-17"
}"""
policy_doc = json.loads(policy_doc)
boundary = get_privilege_statements(
policy_doc, privilege_matches, "*", principal, policy_identifier="unit_test"
)
# Ensure nothing is allowed when the boundary denies all
assert_true(
len(get_allowed_privileges(privilege_matches, stmts, boundary)) == 0
)
def test_conditions_on_principal_tags(self):
# Example from https://aws.amazon.com/blogs/security/working-backward-from-iam-policies-and-principal-tags-to-standardized-names-and-tags-for-your-aws-resources/
principal = Principal(
"AssumedRole",
[
{"Key": "project", "Value": "web"},
{"Key": "access-team", "Value": "eng"},
{"Key": "cost-center", "Value": "987654"},
],
username="role",
userid="",
)
policy_doc = """
{
"Statement": [
{
"Effect": "Allow",
"Action": "s3:ListAllMyBuckets",
"Resource": "*",
"Condition": {
"StringEquals": { "aws:PrincipalTag/project": "web" }
}
}
],
"Version": "2012-10-17"
}"""
policy_doc = json.loads(policy_doc)
# Ensure this works at all
privilege_matches = [
{
"privilege_prefix": "s3",
"privilege_name": "ListAllMyBuckets",
"resource_type": "object",
}
]
stmts = get_privilege_statements(
policy_doc, privilege_matches, "*", principal, policy_identifier="unit_test"
)
assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) > 0)
principal = Principal(
"AssumedRole",
[
{"Key": "project", "Value": "database"},
{"Key": "access-team", "Value": "eng"},
{"Key": "cost-center", "Value": "987654"},
],
username="role",
userid="",
)
stmts = get_privilege_statements(
policy_doc, privilege_matches, "*", principal, policy_identifier="unit_test"
)
assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) == 0)
# def test_conditions_on_resource_tags_ec2(self):
# # TODO
# # Example from https://aws.amazon.com/blogs/security/working-backward-from-iam-policies-and-principal-tags-to-standardized-names-and-tags-for-your-aws-resources/
# principal = Principal(
# "AssumedRole",
# [{"Key": "access-project", "Value": "peg"}, {"Key": "access-team", "Value": "eng"}, {"Key": "cost-center", "Value": "987654"}],
# username="role",
# userid="",
# )
# policy_doc = """{
# "Action":[
# "ec2:StartInstances",
# "ec2:StopInstances"
# ],
# "Resource":[
# "arn:aws:ec2:*:*:instance/*"
# ],
# "Effect":"Allow",
# "Condition":{
# "StringEquals":{
# "ec2:ResourceTag/access-project":"web"
# }
# }
# }"""
# policy_doc = json.loads(policy_doc)
# # Ensure this works at all
# privilege_matches = [
# {
# "privilege_prefix": "ec2",
# "privilege_name": "StopInstances",
# "resource_type": "instance",
# }
# ]
# stmts = get_privilege_statements(policy_doc, privilege_matches, "*", principal)
# # TODO Need to get resource info
# print("get_privilege_statements: {}".format(stmts))
# assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) > 0)
# def test_conditions_on_resource_and_principal_tags_ec2(self):
# # TODO
# # Example from https://aws.amazon.com/blogs/security/working-backward-from-iam-policies-and-principal-tags-to-standardized-names-and-tags-for-your-aws-resources/
# principal = Principal(
# "AssumedRole",
# [{"Key": "access-project", "Value": "peg"}, {"Key": "access-team", "Value": "eng"}, {"Key": "cost-center", "Value": "987654"}],
# username="role",
# userid="",
# )
# policy_doc = """{
# "Action":[
# "ec2:StartInstances",
# "ec2:StopInstances"
# ],
# "Resource":[
# "arn:aws:ec2:*:*:instance/*"
# ],
# "Effect":"Allow",
# "Condition":{
# "StringEquals":{
# "ec2:ResourceTag/access-project":"${aws:PrincipalTag/access-project}"
# }
# }
# }"""
# policy_doc = json.loads(policy_doc)
# # Ensure this works at all
# privilege_matches = [
# {
# "privilege_prefix": "ec2",
# "privilege_name": "StopInstances",
# "resource_type": "instance",
# }
# ]
# stmts = get_privilege_statements(policy_doc, privilege_matches, "*", principal)
# # TODO Need to get resource info
# print("get_privilege_statements: {}".format(stmts))
# assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) > 0)
# def test_conditions_on_resource_and_principal_tags_rds(self):
# # TODO
# # Example from https://aws.amazon.com/blogs/security/working-backward-from-iam-policies-and-principal-tags-to-standardized-names-and-tags-for-your-aws-resources/
# principal = Principal(
# "AssumedRole",
# [{"Key": "access-project", "Value": "peg"}, {"Key": "access-team", "Value": "eng"}, {"Key": "cost-center", "Value": "987654"}],
# username="role",
# userid="",
# )
# policy_doc = """{
# "Version": "2012-10-17",
# "Statement": [
# {
# "Effect": "Allow",
# "Action": "rds:DescribeDBInstances",
# "Resource": "*"
# },
# {
# "Effect": "Allow",
# "Action": [
# "rds:RebootDBInstance",
# "rds:StartDBInstance",
# "rds:StopDBInstance"
# ],
# "Resource": "*",
# "Condition": {
# "StringEquals": {
# "aws:PrincipalTag/CostCenter": "0735",
# "rds:db-tag/Project": "DataAnalytics"
# }
# }
# }
# ]
# }"""
# policy_doc = json.loads(policy_doc)
# # Ensure this works at all
# privilege_matches = [
# {
# "privilege_prefix": "ec2",
# "privilege_name": "StopInstances",
# "resource_type": "instance",
# }
# ]
# stmts = get_privilege_statements(policy_doc, privilege_matches, "*", principal)
# # TODO Need to get resource info
# print("get_privilege_statements: {}".format(stmts))
# assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) > 0)
def test_conditions_on_resource_and_principal_tags_complex_secrets(self):
principal = Principal(
"AssumedRole",
[
{"Key": "access-project", "Value": "peg"},
{"Key": "access-team", "Value": "eng"},
{"Key": "cost-center", "Value": "987654"},
],
username="role",
userid="",
)
policy_doc = """
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AllActionsSecretsManagerSameProjectSameTeam",
"Effect": "Allow",
"Action": "secretsmanager:*",
"Resource": "*",
"Condition": {
"StringEquals": {
"aws:ResourceTag/access-project": "${aws:PrincipalTag/access-project}",
"aws:ResourceTag/access-team": "${aws:PrincipalTag/access-team}",
"aws:ResourceTag/cost-center": "${aws:PrincipalTag/cost-center}"
},
"ForAllValues:StringEquals": {
"aws:TagKeys": [
"access-project",
"access-team",
"cost-center",
"Name",
"OwnedBy"
]
},
"StringEqualsIfExists": {
"aws:RequestTag/access-project": "${aws:PrincipalTag/access-project}",
"aws:RequestTag/access-team": "${aws:PrincipalTag/access-team}",
"aws:RequestTag/cost-center": "${aws:PrincipalTag/cost-center}"
}
}
},
{
"Sid": "AllResourcesSecretsManagerNoTags",
"Effect": "Allow",
"Action": [
"secretsmanager:GetRandomPassword",
"secretsmanager:ListSecrets"
],
"Resource": "*"
},
{
"Sid": "ReadSecretsManagerSameTeam",
"Effect": "Allow",
"Action": [
"secretsmanager:Describe*",
"secretsmanager:Get*",
"secretsmanager:List*"
],
"Resource": "*",
"Condition": {
"StringEquals": {
"aws:ResourceTag/access-team": "${aws:PrincipalTag/access-team}"
}
}
},
{
"Sid": "DenyUntagSecretsManagerReservedTags",
"Effect": "Deny",
"Action": "secretsmanager:UntagResource",
"Resource": "*",
"Condition": {
"StringLike": {
"aws:TagKeys": "access-*"
}
}
},
{
"Sid": "DenyPermissionsManagement",
"Effect": "Deny",
"Action": "secretsmanager:*Policy",
"Resource": "*"
}
]
}"""
policy_doc = json.loads(policy_doc)
# Ensure this works at all
privilege_matches = [
{
"privilege_prefix": "secretsmanager",
"privilege_name": "ListSecrets",
"resource_type": "secret",
}
]
stmts = get_privilege_statements(
policy_doc, privilege_matches, "*", principal, policy_identifier="unit_test"
)
assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) > 0)
# Ensure the Deny in the policy works
privilege_matches = [
{
"privilege_prefix": "secretsmanager",
"privilege_name": "PutResourcePolicy",
"resource_type": "secret",
}
]
stmts = get_privilege_statements(
policy_doc, privilege_matches, "*", principal, policy_identifier="unit_test"
)
assert_true(len(get_allowed_privileges(privilege_matches, stmts, None)) == 0)
# TODO Testing these conditions requires getting resource tags
# for stmt in stmts:
# for m in stmt["matching_statements"]:
# print(m)
# exit(-1)
# assert_true(
# len(get_privilege_statements(policy_doc, privilege_matches, "*", principal))
# > 0
# )
def test_access_check(self):
# This test calls the access_check command across the demo data,
# thereby excersising much of its code
# TODO This parsing code should not be here
parser = argparse.ArgumentParser()
parser.add_argument(
"--resource_arn",
help="The resource to be looked at, such as arn:aws:s3:::mybucket",
required=True,
)
parser.add_argument(
"--privilege", help="The privilege in question (ex. s3:GetObject)"
)
args, accounts, config = parse_arguments(
[
"--accounts",
"demo",
"--config",
"config.json.demo",
"--resource_arn",
"arn:aws:sns:*:*:prod-*",
],
parser,
)
access_check_command(accounts, config, args)
# TODO Have that function return results that can be tested
| 33.29322 | 171 | 0.465764 | 1,501 | 19,643 | 5.910726 | 0.154564 | 0.039563 | 0.049594 | 0.028855 | 0.72757 | 0.708408 | 0.673016 | 0.634468 | 0.623422 | 0.611249 | 0 | 0.01095 | 0.404928 | 19,643 | 589 | 172 | 33.349745 | 0.748054 | 0.289212 | 0 | 0.532828 | 0 | 0 | 0.410247 | 0.103486 | 0 | 0 | 0 | 0.001698 | 0.045455 | 1 | 0.015152 | false | 0.002525 | 0.015152 | 0 | 0.032828 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
81abfb7e9b0aef6328aa3098436c36ead87af117 | 1,320 | py | Python | test_jd_airmass.py | jacob975/TATIRP | 2d81fa280e039aa931c6f8456632a23ef123282a | [
"MIT"
] | null | null | null | test_jd_airmass.py | jacob975/TATIRP | 2d81fa280e039aa931c6f8456632a23ef123282a | [
"MIT"
] | 4 | 2017-08-22T03:15:22.000Z | 2017-12-19T17:55:31.000Z | test_jd_airmass.py | jacob975/TATIRP | 2d81fa280e039aa931c6f8456632a23ef123282a | [
"MIT"
] | null | null | null | #!/usr/bin/python
'''
Program:
This is a program for converting Julian date(JD) to Heliocentric Julian date(HJD), Barycentric Julian date(BJD), and air mass.
Then add these infos into the header of images.
Usage:
test_jd_airmass.py [image name]
Editor:
Jacob975
20180709
#################################
update log
20180709 version alpha 1
1. The code works
'''
import os
from astropy.io import fits as pyfits
import numpy as np
import time
from sys import argv
from reduction_lib import header_editor
#--------------------------------------------
# main code
if __name__ == "__main__":
# Measure time
start_time = time.time()
#----------------------------------------
# Load argv
if len(argv) != 2:
print "Error!Wrong numbers of arguments"
print "Usage: test_jd.py [image name]"
exit()
name_image = argv[1]
#---------------------------------------
# Load header
header = pyfits.getheader(argv[1])
# Test class-style functions
stu = header_editor(header)
print "hjd = {0}, bjd = {1}, air mass = {2}".format(stu.hjd(), stu.bjd(), stu.air_mass())
#---------------------------------------
# Measure time
elapsed_time = time.time() - start_time
print "Exiting Main Program, spending ", elapsed_time, "seconds."
| 29.333333 | 131 | 0.564394 | 161 | 1,320 | 4.503106 | 0.521739 | 0.044138 | 0.030345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025544 | 0.199242 | 1,320 | 44 | 132 | 30 | 0.66036 | 0.199242 | 0 | 0 | 0 | 0 | 0.213235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
81be42f8fbae066abea4f58b315bc711b1d61dbd | 109 | py | Python | pycaro/__init__.py | anteverse/pycaro | dbf6dfb152246cc3a1756145c9b060213a638382 | [
"MIT"
] | null | null | null | pycaro/__init__.py | anteverse/pycaro | dbf6dfb152246cc3a1756145c9b060213a638382 | [
"MIT"
] | null | null | null | pycaro/__init__.py | anteverse/pycaro | dbf6dfb152246cc3a1756145c9b060213a638382 | [
"MIT"
] | null | null | null | from pycaro.api.validate import ModuleChecker
__all__ = [
"ModuleChecker"
]
__version__ = "0.0.1.dev1"
| 13.625 | 45 | 0.715596 | 13 | 109 | 5.384615 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043956 | 0.165138 | 109 | 7 | 46 | 15.571429 | 0.725275 | 0 | 0 | 0 | 0 | 0 | 0.211009 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
81c5e019eda3f875954e946507564673d89ef584 | 253 | py | Python | scratchpad/tornado/tornado_io.py | cnb0/katcp-python | 35c860bc17ee6404cc59a14f7d1b8ac1fae4b73c | [
"BSD-3-Clause"
] | 8 | 2015-02-25T20:13:54.000Z | 2019-09-12T06:12:07.000Z | scratchpad/tornado/tornado_io.py | cnb0/katcp-python | 35c860bc17ee6404cc59a14f7d1b8ac1fae4b73c | [
"BSD-3-Clause"
] | 67 | 2015-01-12T09:58:36.000Z | 2021-05-12T14:23:26.000Z | scratchpad/tornado/tornado_io.py | cnb0/katcp-python | 35c860bc17ee6404cc59a14f7d1b8ac1fae4b73c | [
"BSD-3-Clause"
] | 15 | 2015-04-28T13:18:28.000Z | 2021-01-19T16:16:33.000Z | # Copyright 2014 National Research Foundation (South African Radio Astronomy Observatory)
# BSD license - see LICENSE for details
from __future__ import absolute_import, division, print_function
import logging
import mock
from katcp.server import *
| 23 | 89 | 0.818182 | 32 | 253 | 6.28125 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018519 | 0.146245 | 253 | 10 | 90 | 25.3 | 0.912037 | 0.494071 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
81cf1c5502f4d3c2e04f1cf2db9eab299671e610 | 1,706 | py | Python | allauth/socialaccount/providers/wzlapp/test.py | manesourabh/django-allauth | 230acc0fcd262fb182ac35227d8ee661277f6ceb | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/wzlapp/test.py | manesourabh/django-allauth | 230acc0fcd262fb182ac35227d8ee661277f6ceb | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/wzlapp/test.py | manesourabh/django-allauth | 230acc0fcd262fb182ac35227d8ee661277f6ceb | [
"MIT"
] | null | null | null | from allauth.socialaccount.tests import OAuth2TestsMixin
from allauth.tests import MockedResponse, TestCase
from .provider import WzlappProvider
class SlackOAuth2Tests(OAuth2TestsMixin, TestCase):
provider_id = WzlappProvider.id
def get_mocked_response(self):
return MockedResponse(200, """{
"ok": true,
"user": {
"name": "Sonny Whether",
"id": "U0G9QF9C6",
"email": "sonny@captain-fabian.com",
"image_24": "https://secure.gravatar.com/avatar/e3b51ca72dee4ef87916ae2b9240df50.jpg?s=24&d=https%3A%2F%2Fdev.slack.com%2Fimg%2Favatars%2Fava_0010-24.v1441146555.png",
"image_32": "https://secure.gravatar.com/avatar/e3b51ca72dee4ef87916ae2b9240df50.jpg?s=32&d=https%3A%2F%2Fdev.slack.com%2Fimg%2Favatars%2Fava_0010-32.v1441146555.png",
"image_48": "https://secure.gravatar.com/avatar/e3b51ca72dee4ef87916ae2b9240df50.jpg?s=48&d=https%3A%2F%2Fdev.slack.com%2Fimg%2Favatars%2Fava_0010-48.v1441146555.png",
"image_72": "https://secure.gravatar.com/avatar/e3b51ca72dee4ef87916ae2b9240df50.jpg?s=72&d=https%3A%2F%2Fdev.slack.com%2Fimg%2Favatars%2Fava_0010-72.v1441146555.png",
"image_192": "https://secure.gravatar.com/avatar/e3b51ca72dee4ef87916ae2b9240df50.jpg?s=192&d=https%3A%2F%2Fdev.slack.com%2Fimg%2Favatars%2Fava_0010-192.v1443724322.png",
"image_512": "https://secure.gravatar.com/avatar/e3b51ca72dee4ef87916ae2b9240df50.jpg?s=512&d=https%3A%2F%2Fdev.slack.com%2Fimg%2Favatars%2Fava_0010-512.v1443724322.png"
},
"team": {
"id": "T0G9PQBBK",
"name": "Captain Fabian's Naval Supply"
}
}""") # noqa
| 58.827586 | 182 | 0.69578 | 205 | 1,706 | 5.717073 | 0.302439 | 0.056314 | 0.09727 | 0.112628 | 0.56314 | 0.56314 | 0.56314 | 0.56314 | 0.235495 | 0.235495 | 0 | 0.196653 | 0.159437 | 1,706 | 28 | 183 | 60.928571 | 0.620642 | 0.002345 | 0 | 0 | 0 | 0.25 | 0.813529 | 0.015882 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.125 | 0.041667 | 0.291667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
81dc4b43c453b3571df0c52404eed5ac9ba41a62 | 13,783 | py | Python | intrinsic/cluster.py | seenu-andi-rajendran/plagcomps | 98e82cfb871f73bbd8f4ab1452c2b27a95beee83 | [
"MIT"
] | 2 | 2015-01-18T06:20:27.000Z | 2021-03-19T21:19:16.000Z | intrinsic/cluster.py | NoahCarnahan/plagcomps | 98e82cfb871f73bbd8f4ab1452c2b27a95beee83 | [
"MIT"
] | null | null | null | intrinsic/cluster.py | NoahCarnahan/plagcomps | 98e82cfb871f73bbd8f4ab1452c2b27a95beee83 | [
"MIT"
] | 2 | 2015-11-19T12:52:14.000Z | 2016-11-11T17:00:50.000Z | import hmm
from kmedians import KMedians
import outlier_detection
import classify
#from plagcomps.intrinsic import outlier_detection
from numpy import array, matrix, random
from scipy.cluster.vq import kmeans2, whiten
from scipy.spatial.distance import pdist
from scipy.cluster.hierarchy import linkage, fcluster
from collections import Counter
def cluster(method, k, items, **kwargs):
if method == "kmeans":
return _kmeans(items, k)
elif method == "agglom":
return _agglom(items, k)
elif method == "hmm":
return _hmm(items, k)
elif method == "median_simple":
return _median_simple(items)
elif method == "median_kmeans":
return _median_kmeans(items, k)
elif method == "outlier":
return outlier_detection.density_based(items, **kwargs)
elif method == "kmedians":
return _kmedians(items, k)
elif method == "nn_confidences":
return _nn_confidences(items)
elif method == "combine_confidences":
return _combine_confidences(items, **kwargs)
else:
raise ValueError("Invalid cluster method. Acceptable values are 'kmeans', 'agglom', or 'hmm'.")
def _kmedians(stylo_vectors, k):
features = array(stylo_vectors)
clusterer = KMedians(k)
clusterer.fit(features)
return clusterer.get_confidences()
def _kmeans(stylo_vectors, k):
'''
Given a list of stylo_vectors, where each element is itself a list ('vector'),
return our confidence that each vector is in the plagiarism cluster
where the i_th element in the returned list represents the confidence assigned
to the i_th input vector
Uses k-means clustering to do so
TODO allow for more parameters to be passed to the <kmeans2> function
'''
feature_mat = array(stylo_vectors)
# Normalizes by column
normalized_features = whiten(feature_mat)
# Initialize <k> clusters to be points in input vectors
centroids, assigned_clusters = kmeans2(normalized_features, k, minit = 'points')
# Get confidences
# Special case when there is only one atom
if len(stylo_vectors) == 1:
return [0] # We are 0% confident that the atom is plagiarized.
if k == 2:
confidences = []
plag_cluster = Counter(assigned_clusters).most_common()[-1][0] #plag_cluster is the smallest cluster
not_plag_cluster = 1 if plag_cluster == 0 else 0
for feat_vec in normalized_features:
if plag_cluster < len(centroids) and plag_cluster >= 0:
distance_from_plag = float(pdist(matrix([centroids[plag_cluster], feat_vec])))
distance_from_notplag = float(pdist(matrix([centroids[not_plag_cluster], feat_vec])))
if distance_from_notplag + distance_from_plag > 0:
conf = distance_from_notplag / (distance_from_notplag + distance_from_plag)
else:
conf = 0
confidences.append(conf)
else:
confidences.append(0)
else:
# TODO: Develop a notion of confidence when k != 2
non_plag_cluster = Counter(assigned_clusters).most_common()[0][0]
max_dist = 0
max_dist_vec = normalized_features[0]
for i in xrange(len(assigned_clusters)):
if assigned_clusters[i] == non_plag_cluster:
dist = float(pdist(matrix([centroids[non_plag_cluster], normalized_features[i]])))
if dist > max_dist:
max_dist_vec = normalized_features[i]
max_dist = dist
avg_centroid_dist = 0
sum_dist = 0
centroid_distance = {}
for center in centroids:
sum_dist += float(pdist(matrix([center, centroids[non_plag_cluster]])))
avg_centroid_dist = float(sum_dist/len(centroids))
confidences = []
for i in xrange(len(assigned_clusters)):
try:
if assigned_clusters[i] != non_plag_cluster:
distance_from_max = float(pdist(matrix([max_dist_vec, normalized_features[i]])))
centroid_distance = float(pdist(matrix([centroids[assigned_clusters[i]], centroids[non_plag_cluster]])))
conf = (1-(float(1/(max_dist/distance_from_max))))*float(centroid_distance/avg_centroid_dist)
confidences.append(conf)
else:
confidences.append(0)
except:
confidences.append(0)
return confidences
def _median_kmeans(stylo_vectors, k):
'''
Run kmeans. Find the median in the largest cluster. Calculate confidences of all data points
as the (normalized) distance from the median.
'''
if not (len(stylo_vectors) and len(stylo_vectors[0]) == 1):
raise ValueError("Cluster method '_median_kmeans' can only handle 1-dimensional stylometric vectors.")
return
feature_mat = array(stylo_vectors)
normalized_features = whiten(feature_mat)
centroids, assigned_clusters = kmeans2(normalized_features, k, minit = 'points')
# find largest cluster, and call it the "non-plagiarized" cluster
non_plag_cluster = Counter(assigned_clusters).most_common()[0][0] # non-plag is largest cluster
non_plag_vectors = [x for i, x in enumerate(stylo_vectors, 0) if assigned_clusters[i] == non_plag_cluster]
# get median of non-plagiarized cluster
non_plag_vectors_copy = non_plag_vectors[:]
non_plag_vectors_copy.sort()
median = _get_list_median(non_plag_vectors_copy)
# find max dist from median and build confidences
max_dist = float(max([abs(vec[0] - median) for vec in stylo_vectors]))
if max_dist > 0:
confidences = [abs(vec[0] - median) / max_dist for vec in stylo_vectors]
else:
confidences = [0 for vec in stylo_vectors]
return confidences
def _median_simple(stylo_vectors):
'''
Given a list of 1-dimensional stylo_vectors, generated confidences in the following way:
1. Find median of stylo_vectors
2. Find max distance from median
3. Construct confidences for points by taking their percentage of the max distance from median
'''
length = len(stylo_vectors)
if length > 0 and len(stylo_vectors[0]) == 1:
stylo_vectors_copy = stylo_vectors[:]
stylo_vectors_copy.sort()
median = _get_list_median(stylo_vectors_copy)
max_dist = float(max(median - stylo_vectors_copy[0][0], stylo_vectors_copy[-1][0] - median))
if max_dist > 0:
confidences = [abs(x[0] - median) / max_dist for x in stylo_vectors]
else:
confidences = [0 for x in stylo_vectors]
return confidences
else:
raise ValueError("Cluster method 'median_simple' can only handle 1-dimensional stylometric vectors.")
def _get_list_median(vectors):
'''
Helper function that returns the median of the given SORTED vector list.
'''
length = len(vectors)
if length % 2 == 0:
return (vectors[length / 2][0] + vectors[(length / 2) - 1][0]) / 2.0
else:
return float(vectors[length / 2][0])
def _nn_confidences(items):
from classify import NeuralNetworkConfidencesClassifier
classifier = NeuralNetworkConfidencesClassifier()
return classifier.nn_confidences(items)
def _combine_confidences(feature_vectors, feature_confidence_weights=None):
weights_sum = float(sum(feature_confidence_weights))
# "normalize" (I don't know if that's the right word) the weights, and make sure none are equal to 0
feature_confidence_weights = [max(0.00001, x/weights_sum) for x in feature_confidence_weights]
confidence_vectors = []
for fi in xrange(len(feature_vectors[0])):
single_feature_vecs = [[x[fi]] for x in feature_vectors]
confs = _kmeans(single_feature_vecs, 2)
for i, confidence in enumerate(confs, 0):
if len(confidence_vectors) <= i:
confidence_vectors.append([])
confidence_vectors[i].append(confidence * feature_confidence_weights[fi])
confidences = []
for vec in confidence_vectors:
confidences.append(min(sum(vec), 1))
return confidences
def _agglom(stylo_vectors, k):
'''
Given a list of stylo_vectors, where each element is itself a list ('vector'),
return our confidence that each vector is in the plagiarism cluster
where the i_th element in the returned list represents the confidence assigned
to the i_th input vector
Performs agglomerative clustering on <stylo_vectors> and returns the level in
the dendogram with at most <k> clusters
TODO allow for more parameters to be passed to the <kmeans2> function
'''
feature_mat = array(stylo_vectors)
pairwise_dists = pdist(feature_mat)
# Linkage matrix has somewhat complicated structure, but stores
# all levels of the agglomerative clustering process, and can
# be passed into other functions to extract info about the clusters. See:
# http://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html
linkage_mat = linkage(pairwise_dists)
assigned_clusters = fcluster(linkage_mat, k, criterion = 'maxclust')
# Get confidences
# TODO: Develop a real notion of confidence for agglom clustering
plag_cluster = Counter(assigned_clusters).most_common()[-1][0]
return [1 if x == plag_cluster else 0 for x in assigned_clusters]
def _hmm(stylo_vectors, k):
'''
Given a list of stylo_vectors, where each element of the list is a feature vector,
use a hidden Markov model to assign one of k preposed state values to the vectors,
Observed outputs assigned similar state values are of the same cluster.
To Do:
Return a list of confidence values for the vector assignments
where the i_th element in the returned list represents the confidence assigned
to the i_th input vector.
'''
#get centroids and cluster assignments
centroids, assigned_clusters = hmm.hmm_cluster(stylo_vectors, k)
# Get confidences
plag_cluster = Counter(assigned_clusters).most_common()[-1][0] #plag_cluster is smallest cluster
#not_plag_cluster = Counter(assigned_clusters).most_common()[0][0] #not_plag_clust is largest cluster
cluster_assign = [1 if x == plag_cluster else 0 for x in assigned_clusters]
#confidences = hmm.get_confidences1(stylo_vectors, centroids, cluster_assign)
confidences = hmm.get_confidences3(stylo_vectors, centroids, cluster_assign)
#return cluster_assign , confidences
return confidences
def two_normal_test(n, spacing):
first = [[random.normal()] for x in range(n)]
second = [[random.normal(spacing)] for x in range(n)]
for c in ["kmeans", "agglom", "hmm"]:
print c, cluster(c, 2, first + second)
def _test():
fs = [
[4.5, 5.2, 1.9],
[1.1, 2.03, 2.45],
[4.5, 5.2, 8.1]
]
cluster_one = [
[1.0, 1.0],
[1.25, 1.25],
[1.5, 1.5],
[1.75, 1.75],
[2.0, 2.0]
]
cluster_two = [
[10.0, 10.0],
[10.25, 10.25],
[10.5, 10.5],
[10.75, 10.75],
[11.0, 11.0]
]
fs_obvious = cluster_one + cluster_two
for method in ["kmeans", "agglom", "hmm", "kmedians"]:
print method, cluster(method, 2, fs_obvious)
# print cluster("kmeans", 2, fs_obvious)
# print cluster("agglom", 2, fs_obvious)
# print cluster("hmm", 2, fs_obvious)
# print "hi", cluster("kmedians", 2, fs_obvious)
print cluster("kmeans", 2, fs)
print cluster("agglom", 2, fs)
print cluster("hmm", 2, fs)
print cluster("kmedians", 2, fs)
def _all_clusters_all_features():
import plagcomps.evaluation.intrinsic as ev
clusterings = [
(ev.cluster, "simple_median", ("median_simple", None)),
(ev.cluster, "kmeans_median", ("median_kmeans", 2)),
(ev.cluster, "kmedians", ("kmedians", 2)),
(ev.cluster, "kmeans", ("kmeans", 2)),
(ev.cluster, "agglom", ("agglom", 2)),
(ev.cluster, "hmm", ("hmm", 2)),
#(ev.cluster, "outlier", ("outlier", 2)) was crashing
(ev.cluster, "kmeans", ("kmeans", 3)),
(ev.cluster, "kmeans", ("kmeans", 4)),
(ev.cluster, "kmeans", ("kmeans", 5))
]
unique_features = []
for char_feature in [
"punctuation_percentage",
]:
for char_modifier in [
"", "avg(", "std(", "avg(avg(", "avg(std(", "avg(avg(avg(", "avg(avg(std("
]:
unique_features.append(char_modifier + char_feature + ")" * char_modifier.count("("))
for word_feature in [
"num_chars",
"average_syllables_per_word",
"stopword_percentage",
"syntactic_complexity",
"avg_external_word_freq_class",
"avg_internal_word_freq_class",
]:
for word_modifier in [
"", "avg(", "std(", "avg(avg(", "avg(std("
]:
unique_features.append(word_modifier + word_feature + ")" * word_modifier.count("("))
for sentence_feature in [
"flesch_reading_ease",
"yule_k_characteristic",
"honore_r_measure",
"gunning_fog_index",
]:
for sentence_modifier in [
"", "avg(", "std("
]:
unique_features.append(sentence_modifier + sentence_feature + ")" * sentence_modifier.count("("))
print "running on features:", unique_features
for feature in unique_features:
if feature != "yule_k_characteristic":
print "running clusterings on", feature
ev.compare_cluster_methods(feature, 200, clusterings)
if __name__ == "__main__":
#_test()
_all_clusters_all_features()
| 39.045326 | 124 | 0.65189 | 1,759 | 13,783 | 4.910745 | 0.173394 | 0.050012 | 0.012966 | 0.01806 | 0.325654 | 0.245774 | 0.220769 | 0.160685 | 0.147025 | 0.122019 | 0 | 0.018105 | 0.246608 | 13,783 | 352 | 125 | 39.15625 | 0.813752 | 0.107741 | 0 | 0.185654 | 0 | 0 | 0.088701 | 0.014016 | 0 | 0 | 0 | 0.011364 | 0 | 0 | null | null | 0 | 0.046414 | null | null | 0.033755 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c4a1211638c119d9ad0df222e32e9684356f5a4c | 10,516 | py | Python | pysnmp-with-texts/STACK-TOP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/STACK-TOP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/STACK-TOP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module STACK-TOP (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/STACK-TOP
# Produced by pysmi-0.3.4 at Wed May 1 15:10:55 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection")
NotificationGroup, ObjectGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ObjectGroup", "ModuleCompliance")
Counter64, ModuleIdentity, ObjectIdentity, Counter32, NotificationType, iso, Bits, IpAddress, enterprises, Gauge32, Unsigned32, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "Counter64", "ModuleIdentity", "ObjectIdentity", "Counter32", "NotificationType", "iso", "Bits", "IpAddress", "enterprises", "Gauge32", "Unsigned32", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "MibIdentifier")
DisplayString, MacAddress, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "MacAddress", "TextualConvention")
zte = MibIdentifier((1, 3, 6, 1, 4, 1, 3902))
zxr10 = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3))
stacktop = ModuleIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 301))
stacktop.setRevisions(('2004-05-14 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: stacktop.setRevisionsDescriptions(('',))
if mibBuilder.loadTexts: stacktop.setLastUpdated('200705280000Z')
if mibBuilder.loadTexts: stacktop.setOrganization('ZTE Corp.')
if mibBuilder.loadTexts: stacktop.setContactInfo('')
if mibBuilder.loadTexts: stacktop.setDescription('')
class VendorIdType(OctetString):
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(3, 3)
fixedLength = 3
sysMasterVoteTimes = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 301, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysMasterVoteTimes.setStatus('current')
if mibBuilder.loadTexts: sysMasterVoteTimes.setDescription("How many times stack system's master device be voted.")
sysMasterLastVoteTime = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 301, 2), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysMasterLastVoteTime.setStatus('current')
if mibBuilder.loadTexts: sysMasterLastVoteTime.setDescription("The ending time when stack system's master device be voted.")
sysLastDetecTopEndTime = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 301, 3), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysLastDetecTopEndTime.setStatus('current')
if mibBuilder.loadTexts: sysLastDetecTopEndTime.setDescription('The ending time when the system detected top at the last time.')
sysTopChagTimes = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 301, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysTopChagTimes.setStatus('current')
if mibBuilder.loadTexts: sysTopChagTimes.setDescription('How many times the system top changed.')
sysTopDetecMsgCount = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 301, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysTopDetecMsgCount.setStatus('current')
if mibBuilder.loadTexts: sysTopDetecMsgCount.setDescription('System topo detected topo protocol message count.')
sysTopInfoTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6), )
if mibBuilder.loadTexts: sysTopInfoTable.setStatus('current')
if mibBuilder.loadTexts: sysTopInfoTable.setDescription('A list of the topo information.')
sysTopInfoEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1), ).setIndexNames((0, "STACK-TOP", "sysDeviceMacAddr"), (0, "STACK-TOP", "sysDeviceStkPortIndex"))
if mibBuilder.loadTexts: sysTopInfoEntry.setStatus('current')
if mibBuilder.loadTexts: sysTopInfoEntry.setDescription('An entry to the topo info table.')
sysDeviceMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 1), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceMacAddr.setStatus('current')
if mibBuilder.loadTexts: sysDeviceMacAddr.setDescription('System Device mac address.')
sysDeviceStkPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkPortIndex.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkPortIndex.setDescription('System device stack interface port index.')
sysDeviceType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceType.setStatus('current')
if mibBuilder.loadTexts: sysDeviceType.setDescription('System device type.')
sysDeviceStkPortNum = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkPortNum.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkPortNum.setDescription('System device stack interface port number.')
sysDeviceID = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceID.setStatus('current')
if mibBuilder.loadTexts: sysDeviceID.setDescription('System device ID.')
sysDeviceMasterPri = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceMasterPri.setStatus('current')
if mibBuilder.loadTexts: sysDeviceMasterPri.setDescription("System device's priority in voting master device.")
sysDeviceStkIfStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("up", 1), ("down", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkIfStatus.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkIfStatus.setDescription('System device stack interface status 1: up 2: down.')
sysDeviceStkIfPanel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkIfPanel.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkIfPanel.setDescription('System device stack interface panel num.')
sysDeviceStkIfPortID = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkIfPortID.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkIfPortID.setDescription('System device stack interface port num.')
sysDeviceStkPortNeibMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 10), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkPortNeibMacAddr.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkPortNeibMacAddr.setDescription('System device stack interface neighbor device mac address.')
sysDeviceStkPortNeibPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 6, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysDeviceStkPortNeibPortIndex.setStatus('current')
if mibBuilder.loadTexts: sysDeviceStkPortNeibPortIndex.setDescription('System device stack interface neighbor device port index.')
sysStkPortMsgStacTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 301, 7), )
if mibBuilder.loadTexts: sysStkPortMsgStacTable.setStatus('current')
if mibBuilder.loadTexts: sysStkPortMsgStacTable.setDescription('A list of the stack interface receive and send message statistic information.')
sysStkPortMsgStacEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 301, 7, 1), ).setIndexNames((0, "STACK-TOP", "sysStkDeviceID"), (0, "STACK-TOP", "sysStkDeviceStkIfIndex"))
if mibBuilder.loadTexts: sysStkPortMsgStacEntry.setStatus('current')
if mibBuilder.loadTexts: sysStkPortMsgStacEntry.setDescription('An entry to the stack interface receive and send message statistic information table.')
sysStkDeviceID = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 7, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysStkDeviceID.setStatus('current')
if mibBuilder.loadTexts: sysStkDeviceID.setDescription('System device ID.')
sysStkDeviceStkIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 7, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysStkDeviceStkIfIndex.setStatus('current')
if mibBuilder.loadTexts: sysStkDeviceStkIfIndex.setDescription('System device stack interface index.')
sysStkPortRecMsgCount = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 7, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysStkPortRecMsgCount.setStatus('current')
if mibBuilder.loadTexts: sysStkPortRecMsgCount.setDescription('System stack interface received message count.')
sysStkPortSendMsgCount = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 301, 7, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sysStkPortSendMsgCount.setStatus('current')
if mibBuilder.loadTexts: sysStkPortSendMsgCount.setDescription('System stack interface send message count.')
mibBuilder.exportSymbols("STACK-TOP", sysTopChagTimes=sysTopChagTimes, zxr10=zxr10, PYSNMP_MODULE_ID=stacktop, stacktop=stacktop, VendorIdType=VendorIdType, sysLastDetecTopEndTime=sysLastDetecTopEndTime, sysStkPortMsgStacTable=sysStkPortMsgStacTable, sysStkPortSendMsgCount=sysStkPortSendMsgCount, sysTopDetecMsgCount=sysTopDetecMsgCount, sysDeviceMacAddr=sysDeviceMacAddr, sysDeviceType=sysDeviceType, sysDeviceID=sysDeviceID, sysMasterLastVoteTime=sysMasterLastVoteTime, zte=zte, sysDeviceStkIfStatus=sysDeviceStkIfStatus, sysTopInfoTable=sysTopInfoTable, sysStkPortRecMsgCount=sysStkPortRecMsgCount, sysStkPortMsgStacEntry=sysStkPortMsgStacEntry, sysStkDeviceStkIfIndex=sysStkDeviceStkIfIndex, sysDeviceMasterPri=sysDeviceMasterPri, sysMasterVoteTimes=sysMasterVoteTimes, sysDeviceStkIfPanel=sysDeviceStkIfPanel, sysTopInfoEntry=sysTopInfoEntry, sysDeviceStkPortNum=sysDeviceStkPortNum, sysDeviceStkPortNeibPortIndex=sysDeviceStkPortNeibPortIndex, sysDeviceStkIfPortID=sysDeviceStkIfPortID, sysDeviceStkPortNeibMacAddr=sysDeviceStkPortNeibMacAddr, sysStkDeviceID=sysStkDeviceID, sysDeviceStkPortIndex=sysDeviceStkPortIndex)
| 103.098039 | 1,126 | 0.787086 | 1,149 | 10,516 | 7.201915 | 0.174935 | 0.076858 | 0.134502 | 0.013051 | 0.472749 | 0.297885 | 0.233353 | 0.181994 | 0.139335 | 0.123625 | 0 | 0.060002 | 0.083967 | 10,516 | 101 | 1,127 | 104.118812 | 0.799024 | 0.029669 | 0 | 0 | 0 | 0 | 0.199608 | 0.008534 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.065217 | 0 | 0.097826 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c4a653ab3da07850836f85b3f4fcdccb5d6ad103 | 723 | py | Python | app/http/controllers/CountryHistoricController.py | Kolawole39/covid-africa-api | 909fdc12392aea51f407c811a12310ea74decd6c | [
"MIT"
] | 4 | 2020-04-09T18:27:31.000Z | 2021-11-08T08:50:56.000Z | app/http/controllers/CountryHistoricController.py | Kolawole39/covid-africa-api | 909fdc12392aea51f407c811a12310ea74decd6c | [
"MIT"
] | 1 | 2020-05-10T16:30:53.000Z | 2020-05-11T19:13:07.000Z | app/http/controllers/CountryHistoricController.py | Kolawole39/covid-africa-api | 909fdc12392aea51f407c811a12310ea74decd6c | [
"MIT"
] | 1 | 2021-04-03T10:37:36.000Z | 2021-04-03T10:37:36.000Z | """A CountryHistoricController Module."""
from masonite.request import Request
from masonite.view import View
from masonite.controllers import Controller
from app.CountryHistoric import CountryHistoric
class CountryHistoricController(Controller):
"""CountryHistoricController Controller Class."""
def __init__(self, request: Request):
"""CountryHistoricController Initializer
Arguments:
request {masonite.request.Request} -- The Masonite Request class.
"""
self.request = request
def single(self, view: View, request: Request):
country = CountryHistoric.where(
'name', request.param('country').capitalize()).all()
return 'country'
| 27.807692 | 77 | 0.701245 | 66 | 723 | 7.621212 | 0.409091 | 0.111332 | 0.071571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.20332 | 723 | 25 | 78 | 28.92 | 0.873264 | 0.275242 | 0 | 0 | 0 | 0 | 0.037267 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.363636 | 0 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
c4af79bff2d7f480f0bf14ce13d6610aa3fe0904 | 10,576 | py | Python | 2020/day05/boarding_passes.py | UpwardTrajectory/advent-of-code | 8fc3ac3d6ef6a6b5d563af8eb2d91ec72c975f15 | [
"MIT"
] | null | null | null | 2020/day05/boarding_passes.py | UpwardTrajectory/advent-of-code | 8fc3ac3d6ef6a6b5d563af8eb2d91ec72c975f15 | [
"MIT"
] | null | null | null | 2020/day05/boarding_passes.py | UpwardTrajectory/advent-of-code | 8fc3ac3d6ef6a6b5d563af8eb2d91ec72c975f15 | [
"MIT"
] | null | null | null | all_bps = """BFBBBBBLLR
BBFFBBFRRL
FBFBFFFRRL
BBFFFBFRRL
BFFBFBFRLL
FFBBBFBLRL
BFFFBFFLLR
FBFFFFBLRR
FBFFBBBRRR
BFFBFFFLLR
BFFFFFBLLL
FFBBFFBLRR
BFFFFFBRLR
FBFBFBFLLL
FFBFBFFLLL
BBFFFFFLLL
FFFBBBFLLL
BBFFBFBLLR
FFBFBFBRRR
BFFBFFFRRR
BBFFBFBRLR
FFFBFBFLRL
BBFFBBBLRR
FBBFFFFLLR
BBBFBBFLLL
BFFFFBBRLL
FBBFBFBRRL
FFBBBFFRRR
BBFFFFBRRR
FBBBBFFLLR
BFFFFFBLRR
FFBBFBFLLR
BFFBFBBLLL
BBFBBBBLLL
FBFBBBFRLL
FFBFFFBLRL
FFFFBBBLRL
BBBBFBFRRR
FFBBFBBRLL
FFFBBBBRRL
FFBFFFBRLR
BFBFBFBLLL
FFFBFFBLLL
BBFBFBBLRL
BBBBBFFLLL
FBBBBFFRRR
FBFFFFBLLL
FFFFBBBRRL
FBFBBBFRRR
FBBFFBFLRL
BFBFFBFLLR
FFBBBFBLLL
BFBFFFFLLL
BBBFFFFLLL
BFBBFBFRLR
BFBBBBFLRL
BBBFBFBLRL
BFFFBFBLRL
BFBBBBBRLL
FBBBFFBRLL
BFBFFBBRRL
BFFBBBFLLR
BFFBFFBRRR
FBFBFBFRRL
FBFBFBFLRL
BBBFFFBRRR
FBFFBBFRRR
FFBBFFFRLL
BFBFBBBLLR
BFFFFBFLLR
FFBBBBFRLR
FFFBFFFRRR
BFBBFFFRLL
BBBFBFFLRL
BFBBFBFLRR
BBBBFBBLRL
FBFBFBFLRR
BBFBFBBLLL
BFBBBFBLRL
BFBBFBFLRL
FFFBBFBLLL
BBBFBFBLLR
FBBBBBFLLR
FFBBBFBRLL
BBBBFBBRRL
FBFFFBBRLL
BBFBBFFRRL
FBFFBFBLLL
BFFBFBBRRL
BFFFBFFRLR
BBFBFBFRRR
FBBFBFFRRR
BBBFBFBLRR
FFBFFBFRLR
FFBFBBBLRL
FFFFBBFRRL
FFBBBFBRLR
FBFBFBBLLL
FBBBFBFRLL
BBBBFBBLLR
BFBFBBFRLR
FBBFBBFLRR
BBBBFBFLRL
FBFBFBFRLL
FFBFBFBLLR
FBFFBBFRRL
BFFFFFFRLR
FFFFBFFRRL
BBFFFBFLRR
FBBFFBFRRL
FFFFBFBLLL
FFBBFFFRRL
BBFBFFFRLL
BFFFFBFRLR
FBFBFBBRRL
FBBFBBFRLR
BFBFFFBRRL
FFFBFFBRLR
BFBFFBFLRL
FBBFBFFRRL
FFBFFFBLLL
FBFFFBFRRR
FBFFFBBRRL
FBFFBFBRLL
BFBFFFFRLL
FFFBBBFLRR
BBFFFFFLRR
BFBBFBBLLR
BFBFFBFLLL
FBBBBFBLLR
BFBBFFFLLR
BFBBFFFRRL
BFFBBFFLLR
BBBFFFFRRL
BBBFBBBLLR
FFFBFBBRLL
FFBFFBBLRR
FFBFBBFLLL
BBBFFBFRLL
BBBFBFFLRR
FBFBFFBRLR
FBBFFBBLRL
BBFBBFFLLR
BBFBBFBRLR
BFBFFBBRLR
BBBBFFBRLL
FFFBBBFRLL
FBBFFFFRLR
BFBBBBFRRR
BBBBFFBLRR
FBBBBBFLRR
FBBBFFBLRL
BFFBBBFRRR
BBBBFBFRLL
BFBBBFBLRR
FFBFFFFLLL
FBFFFFBRLL
FFBFFBBRLR
BFFBBFFLLL
FFBFBFBLRL
FFBFBFFRRR
BBBFBBFLRR
BBBFBBBLLL
BFFFFFFLRL
FBBBBBBRLR
FFFBFBFLRR
FFBBFFBRRL
FBBFBBBRLR
BBBFBBFLLR
FFBFFBFLRR
BFBBFBBRRL
FBFFFBBLRL
BFFBBFBLRL
BBFFBFFLLL
FBBBFBFRLR
BBBBFFFRLL
FFBFBFBLRR
FBBFFFBRRL
FFBBBFFLLL
BBFFFBBLLR
BFFFFBFRRL
FBFFFFBRRL
BFBBFFFRLR
FFFBBBBLLL
FBFBFBBRLR
FFFBFBBRLR
FBFBFFFLRR
BFFFFFFRRR
FFFFBBBRRR
BBFBFFFRRL
FFFBFBBLLL
BFBBFBFLLR
BBFBBBBRRL
BBFFBBFRRR
BBBFFBBLRL
FBFBFFFLLR
BFFFBBBRRR
FFBFFFFLLR
FBBBFBFLLL
FBBBFBBLRR
BBBFBFBRRR
FBBBFBFRRL
BBBBFFBRLR
FBFBBBBLLR
FFFFBBFRLR
BBFBBBFLLL
BBFBBBBLRR
FFFFBFBRRR
FBFFFBFLRR
BFFFBBFLRR
BBBFBFFLLR
BFFBBBBRLR
FBFBBFBLLR
BFBBBFFLRR
BFFBBFFRRR
FFFBFFFRLL
FFBFBBBRRR
BBBFFFBLLR
BBFFFFFLLR
FBBBBFBLRR
FBFBBFFRRL
BFBFBFFRRL
BFFFFBFRRR
FFBFFBBLLL
BFBFBFBRRR
BFFFFFFLLR
FFFBBFBRRL
BFBBBFBRRL
BBFFFBFRLL
BFBBBBBLRL
FBFBBFFLRR
FFBBBFFRLR
FBBBFBBRRR
FFBBBFFRRL
FFBBBBFLLR
BBFBBFBRRL
BBFBBBFRLL
BBFFFFFLRL
BBBFFFBLLL
BBFFFFFRRR
FFBFBBBLRR
FFBBBFFLRR
BFFBFBFRLR
FFBBBFBRRR
FBBBBFBLRL
BBBFBBBRLL
FBFBFFBRRL
BFFFFBBRRL
BBFFBBFRLR
FFBFBFFRLR
BFFFBFBRRR
BBBFBBFRRL
FFFBFFFLRL
FBBFFBFRRR
FFBBBBBLLL
FFBFFBFLRL
FBFBFBBLRR
FFFBFFBRLL
BBBFFFBRRL
BFBFBBBRLL
BBBFFFFLRR
BBFFBFFLLR
FBBFFBFLRR
FBBBFFBLRR
BFBFFBBLLL
FBFFFBBRLR
FBBFBBBLLR
BFBBBBBRLR
FBBBFFFLLL
BFFFBBFLLL
BFFFFBBRLR
FBBFBFBRLL
FBFFBFBLRL
BBBFFFFRLL
FBFFFFFRLL
FBBBFBFLRL
FBFBBFBRRL
FFBFBFFLLR
BBBFFBBLLL
FFBFBBFLLR
BBBFBBFRLL
BFFBFBBLRR
FBBFBBFRRL
FBFFBFFLLL
BFBBFBFLLL
FFBBFFBRLL
BFFFFFFLLL
BFFFFFFRLL
BFBFFFFLRR
FFBBFFFLRR
BBFFBBBRLR
BFFFFBFLRR
FFBFBFFLRR
BBBBBFFLRL
BBFBBBBRLR
BFFBFFBRLL
BFBFBBFLRL
FBFBBFBLLL
BFFBBFFRLR
FFFFBFBRLR
BFBFBFBRLL
BFBBFFBLRR
BBBBBFFRLL
BBFFFBBRLL
BFBFBBBLLL
FBBBFFFLRR
FBBBBBFRRL
BFFBBFBRRL
FFBBFFBLLL
FBFFFBFRLL
BBBFFFBRLL
FFFBBFFLLL
BBFBFBBLLR
FFFBFFBLRL
BFFBBBBLLL
BBFFBFFLRR
FFBBFBFLRR
BBBBFBFRRL
BBFBFBBRRR
BBFFFFBLLR
BBBBFFBLLR
BBBFFBFLRR
FFBFFBBLRL
BBFBBBFRLR
FBFFBFFLRL
FFFFBFBLRL
BFBFFFBLRL
FBBBFBFLRR
BFFFBBBLLL
FBBBFFFRRR
BFBFBFFLLR
BFFBFBFLLR
FFFBBBFRRL
BBBFFBFLLR
FFBFBFBLLL
BFBBBFFRLR
BBBFFBFRRL
FBFBFFFRLR
BFBFBBFRRL
FBFFFFFLRR
BFBFFBBLLR
BBFBFBBRLR
FBBBFFFLRL
BBBBFBBRRR
FFBBBBFLLL
FBFFFBBLLR
FFBBBBBRRR
BFFFBBBLRR
BBFBBBBRLL
BBFBFBFLRR
BFBBFFBLLR
FBBFFBBRLL
FBBBBFFRLL
FBFBFFBLLR
FFBFBBBRRL
FFFBBFBRLL
BFFBBFBLLR
BBBBBFFRRL
BFBBFFBRRL
BFFBFFBRLR
FFBFBBFRRL
FFFFBBFLRL
BBFFFFBLRL
BFBFFFBRLL
BFBFFFFRRR
BBBFFBBRRL
FFFFBBFLLL
BBBFFFFLRL
BBBFBFFLLL
FBFBFFBRLL
FBBFFFBLRL
BFBFBFFLLL
BBBFFFBLRR
FBFBFBFRLR
BFBFBFFLRL
BFFFBBBRRL
BFBFFBBRLL
FFBFFFBRLL
FFBFFBFLLR
FFFBFFBRRL
FFBBFFFLRL
BFBFFFFRRL
FBFFFFFRRR
BBFBBFBLLR
FFBFBFBRLR
BFFFBFFRRR
FBBBBFBLLL
BBFFBBBRRR
BBFBBBBRRR
BBBFBBBLRR
BBFBBFBRLL
BFBFBFFLRR
FBFFFBFLRL
FFFFBFFRRR
BFFBFFFLRR
FBFFBBBRLL
BFFFBFBLLL
FBBFBFBLLR
FFBFFBBRRR
BFBFBBFLRR
BBFFFFBLLL
FBBFFFFRRR
FBFBBBFRRL
FBBFFFBLLR
FBFBBFBRLR
BBFFBBBLLR
FFFBBFFLRL
BBFFBFBRRR
BFBFFFFLRL
FFFFBFBRLL
FBFFFBFRRL
BBBFBBBLRL
FFBBBFFRLL
BBFBFFBRRL
BFFBFFBLLL
BBFBBFBRRR
FBBFBBFLLR
BFFFFFFLRR
FBBBBBBRRR
BBFBBBFRRL
FFFBBBFLLR
FBBBBFFLRL
FBFFBFFRLL
BFBFBFBRLR
FBBBFFFRLL
BBFFFBBRRR
BBFBFBBLRR
BFFFFFBRLL
FBFBFFFLLL
FBFFBFBLLR
BFFBFFBRRL
BFBBFFFLRR
BFBBBFBLLR
FFFBBBBRLR
FFBFFBFRRL
FFBBBFBLLR
BBFBFFBRRR
FFBBBBBRLR
BBFFBBBLLL
BFBBFFBLLL
BFBFBBFRRR
BBBBFFFLLL
FBBFFBBRRL
FFBBBFBRRL
BFBFBBBRRR
FBFBBFFLLL
FFBBFFFLLR
FBBBBBFLLL
FFBFBFFLRL
FFBFFBFRRR
FBBBFBBRLR
BFFFFBFLRL
FFFBFFFLLR
BBFBFFBLLR
FFBBFFBLRL
FFFBFBBLRL
BFFFBBBRLR
BBFFFFBRRL
FBBFFBBLRR
FBFFFFFLRL
BBFFBFFRLR
BBFBFFFRLR
FFFBFBFRLR
BFFFBBFRRL
BBBFFBFLLL
BBFBBBBLRL
BFFFFFBLLR
BFFFFBBLLR
BBBFFBFRRR
BBFFFFFRRL
BBFFFFBRLR
FFBBBFFLRL
BFFFBBBRLL
BFFFBBFRLL
FBFBBBFRLR
BBFBFBFRRL
FBFFBFBRLR
FBFFBFFRRR
FBFFFBBLRR
BFFFBBFLRL
FBFBFFBLRL
FBBBBBBRRL
BFFFBFBRLR
FBBBBFBRLL
BBFFBBFLLR
BBFBBFFLRR
FBFFFBFLLR
FBBBFBBLLL
FFBFFFBLRR
BBFBFFBLRR
FFBFFBBRLL
BFFBBFFRLL
FBFFFFBRRR
FFFBFBBRRL
BBBBFBFLLR
BBFBFFFLRL
BFBFFFFRLR
BBFBFFFRRR
BBBFBBBRRL
BFFBBBBLRR
BFFFBBBLRL
BBFFFBBRLR
FBBBFFBRLR
FBBBFFBLLL
FBBBBBBLRL
BBBFFFBLRL
FBFBFFFLRL
BFBFFBFRLL
BBFFFFBRLL
BBFFFFFRLL
FFFBFFFRRL
BBFFBBFLRR
BBBBFFFRRL
BFFBBBBLLR
BBBBFFFRLR
BBBFFFBRLR
FBBFFBBRLR
BFFBBFBLLL
BBBFBBFLRL
BFBFBBFLLR
BBFBBFFLRL
BFFBBBFRRL
FFFFBBFLRR
FBFFBBBLLR
BFBFBFBLLR
FBBBFFBRRR
FBBBBBFRLR
BBFBFFBRLR
BBFFBFFRLL
FFFBFFBLLR
BBFFBFBLRR
FBFFFBBRRR
BFFBBBBRRR
FBFFBBBRRL
BBFBFBFLLR
FBFBBFFLRL
BBBBFFFRRR
BBFBFFFLLL
BFFFBFBLLR
FBBBBFFLRR
FBFFBBFLLL
FFFFBFBRRL
BBFBFBFLLL
BFBBFFBLRL
BFFFBFBLRR
BBBBFFBRRR
FBFBBFBRRR
FBBFBFBRLR
FBBFBFFLRR
FBFBBBBLRR
FBBFBFFRLR
FBBBBBFLRL
FBBFBFFRLL
FFBBFFBRRR
BFBFBFBLRR
FBBFBBBLRL
FBBBFBFRRR
BFFBFBFRRL
FBBFFFFLRL
BFBBBBFRLR
FFBFBBBRLL
BFFBBBBRRL
BFBBFBBLLL
FBFBFFFRRR
BFBFBFBLRL
FBBFFBFLLR
FFFBFBBRRR
FBBBBFFLLL
FBFBBBBLRL
FBBFBFBLRL
FFBBFBBRRR
FBFBFFBLRR
FBFBFBBLLR
FFFBFBFRLL
FFFFBBFRRR
BFBBBBBLLL
BBFBBBBLLR
FBBFFFFRRL
FBBFBFBLLL
BFFFBBFLLR
FBBBFFBLLR
FFBFFBFLLL
BBBFFBBLLR
BFBFFFFLLR
FBFBBBFLRR
FFBBBBFRRL
FFFFBBBLRR
FFBFFFFRRL
BFBBFFFLRL
BBBFBFBLLL
FBFBBFBLRR
BBFBBFBLLL
BFFBFBBRLR
BFBBFBBRRR
FFBBFBFRLL
BFFBFBFLLL
BFFBBFBLRR
FBBBBFBRRL
BFBFBBBLRR
FBBBBBBLLL
BFFFBBBLLR
BBFBFFFLLR
BBBFFBBRLL
BFFBBBFLRR
BFFBFBFRRR
BBBBBFFRLR
BFFBFFFRLR
FBFFFFFLLL
BFFFBFBRLL
FBBFBBFLLL
FBBFBFBRRR
FBFFBBFLLR
FBBBFBFLLR
FFFBFFFLRR
FFBBBBFRRR
BBBBFBFLRR
FBFBFFBRRR
BFFBFFBLLR
FFBBFBBRLR
FBFBFBBRRR
FFBBBBBLRL
FBBBBBFRRR
FFFBFBFRRL
FFBFBFBRRL
BFBBBFBRLR
BBBFBFFRRR
BFFBBFBRLR
BFFBBBBRLL
FBBBBFFRRL
BBBFBBBRLR
BFFFFFFRRL
FFFBBFFLRR
BBFBFFBLRL
BFFBFBFLRR
BBBFFBBLRR
BFBFFBFRRR
BBBBFFBLLL
FBFFBBBLRR
BBFFBBFLLL
FBFBBBBRRR
BBFFBFBLLL
BBBBFFFLRR
FBFFBBBRLR
BFBFFFBLRR
BBFBBFFLLL
BFFBBFFRRL
BFFFBFFRRL
BBFFFBBLRR
FFBFFFFLRL
FFBFBBFRLL
FBFBFFFRLL
BBFFFBFRLR
FFFBBFBLRR
BFBBBFBLLL
BBFBFBFRLL
BFBFBBFRLL
BFFFFFBRRL
FFBFBBBRLR
BFBBFFBRLR
BFBFBFFRLR
FBBBBBBLRR
FFBBBBFLRL
FFFFBFBLRR
FFBFFFBRRR
FFBFBBFRLR
BBBFFBFLRL
FBBBBFFRLR
BFFBBFBRLL
BFFBBBFRLR
FFFBFFBRRR
BBBFBBBRRR
FBFFBFFRRL
FBFFFBFLLL
BFBBBFFRRL
BBFBFBBRLL
BBFBFBBRRL
FFFBFBFRRR
BFBBFBBLRR
FFFBBBFRRR
BFFBFBBLRL
BFFBFFBLRR
BFBBBFFRRR
FFFBBBFLRL
FFBBFBFRRR
FFBFBFBRLL
FFBFFFBLLR
FBBBBBBRLL
FFFFBFBLLR
FFBBFFFRRR
FFFBFFFLLL
FFBBFBBLLR
FFBBBBFLRR
FBBFFBBLLL
BFBBFBBRLR
FFFBFBBLLR
BBFFBFBLRL
FFBFBBFRRR
BBBBFBBRLR
BBBFBBFRLR
BBFFBFFRRR
FFBBBBBLLR
FBFFBFBLRR
FBBBBFBRLR
FFFFBBFLLR
BFBFBBFLLL
FBBFBFBLRR
FBBFFBFRLL
BBFFFFFRLR
FFBBFBFLRL
BFBFBBBRLR
FBBFBBFRRR
FBFBFBBLRL
BBBFFBBRRR
FBBFFBBRRR
FBFFFFBRLR
FBBFBBFLRL
FFFBBFBRRR
FBFBBBBRLR
FBBFFBBLLR
FFFBBBBRRR
BBBBBFFLLR
FFFFBBBLLL
BFFBBBFRLL
FBFBBFBLRL
BBBBFBFRLR
BBFBFFBLLL
BFBFFBFLRR
BFFFFFBLRL
BBBFBBFRRR
FFBBBBBLRR
FBFFFFFLLR
FBFBBFFRLL
BFBBBBBRRL
FBFBFBBRLL
FBBFBBBRRL
FBFFBBBLRL
BFFFBFFLLL
BFBBBBBRRR
FFFBBFFRRR
BBFBBBFLRL
FFFFBBFRLL
FBFFFFFRLR
FFFFBBBRLR
FBFFBBFRLR
FFFFBBBRLL
BBFFBBBLRL
FFBFBBFLRR
BFBBBBBLRR
BFFFFBBLLL
FBFBBBBRRL
BBBFBFFRRL
BFBBFBBLRL
BFBBBBFRRL
FBFFFBBLLL
FFBBFBBLRL
BBFBFFBRLL
BBBFFFFRRR
FFFBBBBLRR
FFFBBFBLRL
FFFBBBBLLR
BFBFBBBRRL
BBBBBFFLRR
BBBBFBBLLL
BBBBFBBLRR
FFFBBBFRLR
FBBBFFFLLR
BFFFBFBRRL
BBFFFBFLLR
BFBBFBFRLL
BFBBBFFLRL
FFBFFBBRRL
FBFBBFFRLR
BFFFFFBRRR
FBFFFFBLLR
FBBFBFFLLR
FBBBFFFRLR
FBFBFBFLLR
FFFBBFBLLR
BFBFFBFRRL
FFFBBFBRLR
FFBBFBBLRR
FBBBFBBLLR
BBBFFFFLLR
BBBBFBFLLL
BBFFFBFLLL
BFFFBFFLRL
BBFBBFFRLR
BBFFBBFLRL
FBBBBFBRRR
FBBFFBFLLL
FFFBFFBLRR
FFBBFFFRLR
FBBFFFBRLR
BBBFBFBRLL
BFBBFFFLLL
FFFBBFFRLL
BBFFBFBRLL
FFBBBBBRRL
FBFFBBBLLL
FBBFFFBRRR
BFFFBFFRLL
FFBBBFFLLR
FBBFBBFRLL
FBBFFFFLRR
FBBBBBFRLL
BBBFFBBRLR
FBFFBBFLRL
FBBFFFBLLL
BFBBBFFRLL
FFFBBFFRLR
BFBFFFBLLL
FFFFBBBLLR
BFFBFFFLLL
BFBBFFBRRR
BFFBFBBLLR
FFBFFBFRLL
FFFBBFFLLR
FBFFFFFRRL
BFFBBFFLRR
FFBBFFBLLR
FBBBFFBRRL
FBBBFBBLRL
BBFFBFFLRL
BBBBFFBRRL
BFBFFBBLRL
BFBBFBFRRR
FFFBBBBRLL
FBBFBBBRRR
BBBBFFFLRL
FBFFBFBRRR
BBBBFFFLLR
FBBFFBFRLR
FFFBBBBLRL
BBFBBFBLRL
BFBBBBFLLR
BBBFBFBRRL
BFBBBBFLLL
BFBFFFBRRR
FFBBFFBRLR
FBBBFFFRRL
BFFFFBBRRR
FBFBBFBRLL
BFBBFFBRLL
FBBFBFFLRL
BFFBBBBLRL
BFFBFBFLRL
FBBBFBBRRL
BFBBBBFLRR
BFBFFBBRRR
BFFFBBFRLR
BFFBFFBLRL
BFFBBFBRRR
BBFFBBBRRL
BBBBFBBRLL
FBBFBBBLRR
FFBFBFFRLL
FFBFFFFRRR
BFFBBFFLRL
BFBBFBBRLL
BFBFFBBLRR
FBFBFBFRRR
BBFFFBFRRR
BBFBBFFRRR
FFBFBBBLLR
FFFBFBFLLL
BBFFFBBLLL
FFBBFBBLLL
BFBBFFFRRR
BFBFBBBLRL
FBFBBBFLRL
BFBFBFBRRL
FFFBFBFLLR
BBFFFFBLRR
BBFBFBFRLR
FFBBFBFLLL
BFBBBFBRLL
BBBFFBFRLR
BFFFFBFLLL
FFBBBBFRLL
BBFBBFFRLL
BFFFBFFLRR
BBFBBBFLLR
FFBFBBFLRL
BBBBFFBLRL
BFBBBFBRRR
FBBFBFFLLL
FBFFBFFRLR
BFFBFFFLRL
FBFFBFFLLR
FBFBBBBRLL
BBFFFBFLRL
BBFBBFBLRR
BFFFFBBLRL
BBFBFBFLRL
FBBFBBBRLL
FBBFFFFRLL
FFBFBBBLLL
FFBFFBBLLR
BFBBBFFLLR
BBBFBFFRLR
BFFBFFFRRL
BBFFBBBRLL
BBFFBBFRLL
FBBBBBBLLR
BFFBFBBRRR
BBFFFBBRRL
FFBFFFFRLL
FFFBFBBLRR
BBFFBFBRRL
BBFFFBBLRL
FBFFFFBLRL
BFFFFBFRLL
BFFBBBFLLL
BFBBFBFRRL
FBBFFFBLRR
FFBFFFFRLR
FBBFFFFLLL
FBFBBFFRRR
FBFBBFFLLR
FFBFFFBRRL
BFBBBBFRLL
BFFBBBFLRL
FBFFBFBRRL
FFBFFFFLRR
FBBBFBBRLL
BBFBBBFRRR
BFFBFFFRLL
FFFBBFFRRL
BFBFFFBLLR
FBFFFBFRLR
FBFBBBFLLL
FFBBFBFRRL
BBBFBFFRLL
FBFFBFFLRR
BBFBBBFLRR
FFBBBFBLRR
FFFBFFFRLR
FBFBFFBLLL
BFBBBFFLLL
BFFFFBBLRR
FBFBBBFLLR
FBFFBBFLRR
FFBBFBBRRL
BBFBFFFLRR
BBFFBFFRRL
FFBBFFFLLL
FFBFBFFRRL
BBBFBFBRLR
BFBFFFBRLR
FBFBBBBLLL
FFBBBBBRLL
FBBFBBBLLL
BFFFBBFRRR
BFBFFBFRLR
BBBFFFFRLR
FBFFBBFRLL
FFBBFBFRLR
BFFBFBBRLL
BFBFBFFRRR
FBBFFFBRLL"""
| 11.005203 | 23 | 0.908377 | 962 | 10,576 | 9.985447 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090961 | 10,576 | 960 | 24 | 11.016667 | 0.999168 | 0 | 0 | 0 | 0 | 0 | 0.998393 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c4b96dbb8ead9259086dfdf973577eb4671ef709 | 316 | py | Python | deploys/setup-infra/install_all.py | kimcu-on-thenet/coolstore-microservices | d2524bf56fc0219496fd1e499a663f3e63b42818 | [
"MIT"
] | 1 | 2019-08-03T17:42:39.000Z | 2019-08-03T17:42:39.000Z | deploys/setup-infra/install_all.py | kimcu-on-thenet/coolstore-microservices | d2524bf56fc0219496fd1e499a663f3e63b42818 | [
"MIT"
] | null | null | null | deploys/setup-infra/install_all.py | kimcu-on-thenet/coolstore-microservices | d2524bf56fc0219496fd1e499a663f3e63b42818 | [
"MIT"
] | null | null | null | import get_aks_config
import install_helm
import install_istio
import install_dashboard
import create_aks
import time
def run():
create_aks.run()
get_aks_config.run()
install_helm.run()
time.sleep(60)
install_dashboard.run()
install_istio.run()
if __name__ == "__main__":
run() | 14.363636 | 27 | 0.712025 | 43 | 316 | 4.767442 | 0.395349 | 0.190244 | 0.117073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007905 | 0.199367 | 316 | 22 | 28 | 14.363636 | 0.802372 | 0 | 0 | 0 | 0 | 0 | 0.025237 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | true | 0 | 0.4 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c4ba3f5b87fa0605de5974d25966d92384a0a499 | 612 | py | Python | spanishdata/2007-2010/textRetrieve2007-2010.py | ab93/Text-Summarization | b99784cabe9cd6074cfe065542c2954077b17d60 | [
"Apache-2.0"
] | 4 | 2016-05-30T04:42:21.000Z | 2021-04-26T16:32:12.000Z | spanishdata/2007-2010/textRetrieve2007-2010.py | ab93/Text-Summarization | b99784cabe9cd6074cfe065542c2954077b17d60 | [
"Apache-2.0"
] | null | null | null | spanishdata/2007-2010/textRetrieve2007-2010.py | ab93/Text-Summarization | b99784cabe9cd6074cfe065542c2954077b17d60 | [
"Apache-2.0"
] | 3 | 2016-07-29T05:55:28.000Z | 2018-05-13T15:25:42.000Z | import json
count=0
countNoTitle=0
json_data=open('2007-10.json').read()
jsoncontents = json.loads(json_data,strict=False)
print len(jsoncontents['items']['item'])
for i in range(0,len(jsoncontents['items']['item'])):
content=jsoncontents['items']['item'][i]['discurso']
content=content.encode('utf-8')
print "content ",content
f = open('2007-10c'+str(count)+'.txt','wb')
#content=content.encode('utf-8')
try:
title=jsoncontents['items']['item'][i]['titulo']
print count
raw_input()
except:
#print count
countNoTitle+=1
f.write(content)
count+=1
f.close()
print count
print countNoTitle
| 21.103448 | 53 | 0.697712 | 88 | 612 | 4.818182 | 0.465909 | 0.160377 | 0.198113 | 0.113208 | 0.113208 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034672 | 0.104575 | 612 | 28 | 54 | 21.857143 | 0.739051 | 0.068627 | 0 | 0.090909 | 0 | 0 | 0.156966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.045455 | null | null | 0.227273 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c4d10d3842362c8b5253681ecd28e26805a45699 | 271 | py | Python | tests/locators/photo_gallery_locators.py | Alpaca00/alpaca_web | 1db33978f774addbe456f750ffadf32d2f223610 | [
"MIT"
] | 4 | 2021-09-14T07:36:27.000Z | 2021-09-18T15:10:24.000Z | tests/locators/photo_gallery_locators.py | Alpaca00/alpaca_web | 1db33978f774addbe456f750ffadf32d2f223610 | [
"MIT"
] | 1 | 2021-12-14T20:32:29.000Z | 2021-12-15T13:28:29.000Z | tests/locators/photo_gallery_locators.py | Alpaca00/squash-opponent | 1db33978f774addbe456f750ffadf32d2f223610 | [
"MIT"
] | null | null | null | from selenium.webdriver.common.by import By
class PhotoGalleryLocators:
lst_images = (By.XPATH, "//div[@class='container-lg']//img")
modal_window = (By.XPATH, "//div[@class='modal-body']/img")
modal_window_title = (By.XPATH, "//*[@id='exampleModalLabel']")
| 33.875 | 67 | 0.678967 | 34 | 271 | 5.294118 | 0.617647 | 0.116667 | 0.111111 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.118081 | 271 | 7 | 68 | 38.714286 | 0.753138 | 0 | 0 | 0 | 0 | 0 | 0.335793 | 0.335793 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c4e782a458b7b7f1a5cb3c67ea132b27dd6947ee | 421 | py | Python | arvestust/models/tests/save.py | lehvitus/arvestust | 2d508317b744eaf12a643a398ff95723893a046a | [
"BSD-3-Clause"
] | 1 | 2021-09-17T23:45:27.000Z | 2021-09-17T23:45:27.000Z | arvestust/models/tests/save.py | lehvitus/arvestust | 2d508317b744eaf12a643a398ff95723893a046a | [
"BSD-3-Clause"
] | 3 | 2020-07-25T05:40:54.000Z | 2020-08-11T04:01:19.000Z | arvestust/models/tests/save.py | lehvitus/arvestust | 2d508317b744eaf12a643a398ff95723893a046a | [
"BSD-3-Clause"
] | null | null | null | from django.test import TestCase
from ..save import Save
class SaveTestCase(TestCase):
def setUp(self):
"""
Create objects here...
Example:
Save.objects.create()
"""
pass
def test_create_save(self):
"""
Run assertions here...
Example:
save = Save.objects.create()
self.assertEqual(save.id, 1)
"""
pass
| 16.192308 | 36 | 0.527316 | 42 | 421 | 5.238095 | 0.5 | 0.1 | 0.136364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003731 | 0.36342 | 421 | 25 | 37 | 16.84 | 0.817164 | 0.344418 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0.285714 | 0.285714 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
c4eb397f61695836b9f001f66e35f3d9b3a7e3af | 639 | py | Python | code/dqn/replay_memory.py | chickert/autonomous_vehicles | 3061968524f1c507f409ee9aeaf8625d1c1f725c | [
"MIT"
] | null | null | null | code/dqn/replay_memory.py | chickert/autonomous_vehicles | 3061968524f1c507f409ee9aeaf8625d1c1f725c | [
"MIT"
] | null | null | null | code/dqn/replay_memory.py | chickert/autonomous_vehicles | 3061968524f1c507f409ee9aeaf8625d1c1f725c | [
"MIT"
] | null | null | null | from collections import namedtuple, deque
import random
import numpy as np
# could also use randint + numpy to random sample (perhaps time is scaling linearly with rep_mem size)
# Plot time to verify and check
SARSD = namedtuple('SARSD', ('state', 'action', 'reward', 'next_state', 'done'))
class ReplayMemory:
def __init__(self, memory_size):
self.memory = deque(maxlen=memory_size)
def add(self, sarsd):
self.memory.append(sarsd)
def sample(self, batch_size):
# assert len(self.memory) > batch_size, "Batch size is greater than memory size"
return random.sample(self.memory, batch_size)
| 30.428571 | 102 | 0.707355 | 89 | 639 | 4.955056 | 0.550562 | 0.113379 | 0.068027 | 0.086168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.194053 | 639 | 20 | 103 | 31.95 | 0.856311 | 0.327074 | 0 | 0 | 0 | 0 | 0.084507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.272727 | 0.090909 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c4f1a61885922def9578ed8c817e1b5c16bc23d7 | 645 | py | Python | third_party/mordred/tests/Dummy.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | 3 | 2022-02-06T09:13:51.000Z | 2022-02-19T15:03:35.000Z | third_party/mordred/tests/Dummy.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | 1 | 2022-02-14T23:16:27.000Z | 2022-02-14T23:16:27.000Z | third_party/mordred/tests/Dummy.py | uta-smile/CD-MVGNN | b48f4cd14befed298980a83edb417ab6809f0af6 | [
"MIT"
] | null | null | null | from third_party.mordred import Descriptor
class Dummy1(Descriptor):
pass
class Dummy2(Dummy1):
since = "1.0.0"
def parameters(self):
return ()
def calculate(self):
return 0.0
rtype = float
class Dummy3(Dummy2):
@classmethod
def preset(cls, version):
yield cls()
class Dummy4(Dummy3):
def __init__(self, i=0):
self.i = i
def __eq__(self, other):
return isinstance(other, Dummy4) and self.i == other.i
def __str__(self):
return "Dummy4_{}".format(self.i)
@classmethod
def preset(cls, version):
yield cls(0)
yield cls(1)
| 16.125 | 62 | 0.596899 | 82 | 645 | 4.52439 | 0.426829 | 0.053908 | 0.107817 | 0.123989 | 0.204852 | 0.204852 | 0.204852 | 0 | 0 | 0 | 0 | 0.037118 | 0.289922 | 645 | 39 | 63 | 16.538462 | 0.772926 | 0 | 0 | 0.16 | 0 | 0 | 0.021705 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.28 | false | 0.04 | 0.04 | 0.16 | 0.72 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
f20cb3cf9260038f3d81cef339e3f12b07855f55 | 192 | py | Python | watchmen/common/utils/pickle_wrapper.py | Insurance-Metrics-Measure-Advisory/watchman-data-connector | 8ecab0c5b28174f1611e51deba8d94a42f53d51d | [
"MIT"
] | 125 | 2021-03-13T07:39:46.000Z | 2022-02-28T03:14:17.000Z | watchmen/common/utils/pickle_wrapper.py | Insurance-Metrics-Measure-Advisory/watchman-data-connector | 8ecab0c5b28174f1611e51deba8d94a42f53d51d | [
"MIT"
] | null | null | null | watchmen/common/utils/pickle_wrapper.py | Insurance-Metrics-Measure-Advisory/watchman-data-connector | 8ecab0c5b28174f1611e51deba8d94a42f53d51d | [
"MIT"
] | 17 | 2021-03-13T07:31:58.000Z | 2021-05-20T09:38:02.000Z | import pickle
def pickle_wrapper(data, type):
pickle_data = pickle.dumps(data)
return type.parse_raw(
pickle_data, content_type='application/pickle', allow_pickle=True
)
| 21.333333 | 73 | 0.71875 | 25 | 192 | 5.28 | 0.56 | 0.151515 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 192 | 8 | 74 | 24 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f21bad8ee7c45ebba08940d9ed43a6987d13630d | 716 | py | Python | examples/01 - Comprehensions/comprehensionsGoodBonus.py | ordasf/pythonperformance2 | e9e0e763320af7e65330f8cd10a587f9ce253bda | [
"MIT"
] | null | null | null | examples/01 - Comprehensions/comprehensionsGoodBonus.py | ordasf/pythonperformance2 | e9e0e763320af7e65330f8cd10a587f9ce253bda | [
"MIT"
] | null | null | null | examples/01 - Comprehensions/comprehensionsGoodBonus.py | ordasf/pythonperformance2 | e9e0e763320af7e65330f8cd10a587f9ce253bda | [
"MIT"
] | null | null | null | import config
import time
my_config = config.get_config()
number_of_loops = my_config.getint("Global", "number_of_loops")
def good_list():
my_list = [value for value in range(number_of_loops)]
def modulus_validation(value):
return value % 2 == 0
def good_list_validation():
my_list = [value for value in range(number_of_loops)
if modulus_validation(value)]
def good_tuple():
my_tuple = tuple(value for value in range(number_of_loops))
def good_set():
my_set = {value for value in range(number_of_loops)}
def good_dict():
my_dict = {value: value for value in range(number_of_loops)}
start = time.time()
good_list_validation()
end = time.time()
print(end - start)
| 19.351351 | 64 | 0.712291 | 111 | 716 | 4.306306 | 0.261261 | 0.117155 | 0.190377 | 0.156904 | 0.447699 | 0.405858 | 0.405858 | 0.405858 | 0.33682 | 0.330544 | 0 | 0.003419 | 0.182961 | 716 | 36 | 65 | 19.888889 | 0.813675 | 0 | 0 | 0 | 0 | 0 | 0.02933 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.095238 | 0.047619 | 0.428571 | 0.047619 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1ee8a645ad699ca333abb2752375901de230d93c | 52,220 | py | Python | Tests/test_function.py | elfscript/ironpython3 | fde41d69ff178e60b33b68752e0ea8ba8f5e45e7 | [
"Apache-2.0"
] | null | null | null | Tests/test_function.py | elfscript/ironpython3 | fde41d69ff178e60b33b68752e0ea8ba8f5e45e7 | [
"Apache-2.0"
] | null | null | null | Tests/test_function.py | elfscript/ironpython3 | fde41d69ff178e60b33b68752e0ea8ba8f5e45e7 | [
"Apache-2.0"
] | null | null | null | # Licensed to the .NET Foundation under one or more agreements.
# The .NET Foundation licenses this file to you under the Apache 2.0 License.
# See the LICENSE file in the project root for more information.
import unittest
from iptest import IronPythonTestCase, is_cli, is_mono, is_netcoreapp, is_posix, run_test, skipUnlessIronPython
from types import FunctionType, MethodType
global init
def copyfunc(f, name):
return FunctionType(f.__code__, f.__globals__, name, f.__defaults__, f.__closure__)
def substitute_globals(f, name, globals):
return FunctionType(f.__code__, globals, name, f.__defaults__, f.__closure__)
global_variable = 13
def create_fn_with_closure():
x=13
def f():
return x
return f
def x(a,b,c):
z = 8
if a < b:
return c
elif c < 5 :
return a + b
else:
return z
class C1:
def f0(self): return 0
def f1(self, a): return 1
def f2(self, a, b): return 2
def f3(self, a, b, c): return 3
def f4(self, a, b, c, d): return 4
def f5(self, a, b, c, d, e): return 5
def f6(self, a, b, c, d, e, f): return 6
def f7(self, a, b, c, d, e, f, g): return 7
class FunctionTest(IronPythonTestCase):
def test_basics(self):
self.assertTrue(x(1,2,10) == 10)
self.assertTrue(x(2,1,4) == 3)
self.assertTrue(x(1,1,10) == 8)
def f():
pass
f.a = 10
self.assertTrue(f.a == 10)
self.assertEqual(f.__module__, __name__)
def g():
g.a = 20
g()
self.assertTrue(g.a == 20)
def foo(): pass
self.assertEqual(foo.__code__.co_filename.lower().endswith('test_function.py'), True)
self.assertEqual(foo.__code__.co_firstlineno, 66) # if you added lines to the top of this file you need to update this number.
def test_inherit_function(self):
def foo(): pass
# Cannot inherit from a function
def CreateSubType(t):
class SubType(t): pass
return SubType
self.assertRaisesRegexp(TypeError, ".*\n?.* is not an acceptable base type", CreateSubType, type(foo))
def test_varargs(self):
def a(*args): return args
def b(*args): return a(*args)
self.assertEqual(b(1,2,3), (1,2,3))
def test_default_values(self):
def xwd(a=0,b=1,c=3):
z = 8
if a < b:
return c
elif c < 5 :
return a + b
else:
return z
self.assertEqual(x,x)
self.assertEqual(xwd(), 3)
self.assertRaises(TypeError, (lambda:x()))
self.assertEqual(xwd(2), 3)
self.assertRaises(TypeError, (lambda:x(1)))
self.assertEqual(xwd(0,5), 3)
self.assertRaises(TypeError, (lambda:x(0,5)))
self.assertEqual( (x == "not-a-Function3"), False)
def test_missin_params(self):
def y(a,b,c,d):
return a+b+c+d
def ywd(a=0, b=1, c=2, d=3):
return a+b+c+d
self.assertEqual(y, y)
self.assertEqual(ywd(), 6)
self.assertRaises(TypeError, y)
self.assertEqual(ywd(4), 10)
self.assertRaises(TypeError, y, 4)
self.assertEqual(ywd(4,5), 14)
self.assertRaises(TypeError, y, 4, 5)
self.assertEqual(ywd(4,5,6), 18)
self.assertRaises(TypeError, y, 4,5,6)
self.assertEqual( (y == "not-a-Function4"), False)
def test__doc__(self):
def foo(): "hello world"
self.assertEqual(foo.__doc__, 'hello world')
def test_coverage(self):
# function5
def f1(a=1, b=2, c=3, d=4, e=5): return a * b * c * d * e
def f2(a, b=2, c=3, d=4, e=5): return a * b * c * d * e
def f3(a, b, c=3, d=4, e=5): return a * b * c * d * e
def f4(a, b, c, d=4, e=5): return a * b * c * d * e
def f5(a, b, c, d, e=5): return a * b * c * d * e
def f6(a, b, c, d, e): return a * b * c * d * e
for f in (f1, f2, f3, f4, f5, f6):
self.assertRaises(TypeError, f, 1, 1, 1, 1, 1, 1) # 6 args
self.assertEqual(f(10,11,12,13,14), 10 * 11 * 12 * 13 * 14) # 5 args
for f in (f1, f2, f3, f4, f5):
self.assertEqual(f(10,11,12,13), 10 * 11 * 12 * 13 * 5) # 4 args
for f in (f6,):
self.assertRaises(TypeError, f, 1, 1, 1, 1)
for f in (f1, f2, f3, f4):
self.assertEqual(f(10,11,12), 10 * 11 * 12 * 4 * 5) # 3 args
for f in (f5, f6):
self.assertRaises(TypeError, f, 1, 1, 1)
for f in (f1, f2, f3):
self.assertEqual(f(10,11), 10 * 11 * 3 * 4 * 5) # 2 args
for f in (f4, f5, f6):
self.assertRaises(TypeError, f, 1, 1)
for f in (f1, f2):
self.assertEqual(f(10), 10 * 2 * 3 * 4 * 5) # 1 args
for f in (f3, f4, f5, f6):
self.assertRaises(TypeError, f, 1)
for f in (f1,):
self.assertEqual(f(), 1 * 2 * 3 * 4 * 5) # no args
for f in (f2, f3, f4, f5, f6):
self.assertRaises(TypeError, f)
def test_class_method(self):
# method
class C2: pass
c1, c2 = C1(), C2()
line = ""
for i in range(8):
args = ",".join(['1'] * i)
line += "self.assertEqual(c1.f%d(%s), %d)\n" % (i, args, i)
line += "self.assertEqual(C1.f%d(c1,%s), %d)\n" % (i, args, i)
#line += "try: C1.f%d(%s) \nexcept TypeError: pass \nelse: raise AssertionError\n" % (i, args)
#line += "try: C1.f%d(c2, %s) \nexcept TypeError: pass \nelse: raise AssertionError\n" % (i, args)
#print line
exec(line)
def test_set_attr_instance_method(self):
C1.f0.attr = 1
self.assertEqual(C1.f0.attr, 1)
self.assertEqual(dir(C1.f0).__contains__("attr"), True)
self.assertEqual(C1.f0.__module__, __name__)
def test_kwargs(self):
def f(x=0, y=10, z=20, *args, **kws):
return (x, y, z), args, kws
self.assertTrue(f(10, l=20) == ((10, 10, 20), (), {'l': 20}))
self.assertTrue(f(1, *(2,), **{'z':20}) == ((1, 2, 20), (), {}))
self.assertTrue(f(*[1,2,3]) == ((1, 2, 3), (), {}))
def a(*args, **kws): return args, kws
def b(*args, **kws):
return a(*args, **kws)
self.assertTrue(b(1,2,3, x=10, y=20) == ((1, 2, 3), {'y': 20, 'x': 10}))
def b(*args, **kws):
return a(**kws)
self.assertTrue(b(1,2,3, x=10, y=20) == ((), {'y': 20, 'x': 10}))
try:
b(**[])
self.assertTrue(False)
except TypeError:
pass
def f(x, *args):
return (x, args)
self.assertEqual(f(1, *[2]), (1, (2,)))
self.assertEqual(f(7, *(i for i in range(3))), (7, (0, 1, 2,)))
self.assertEqual(f(9, *range(11, 13)), (9, (11, 12)))
def test_sorted_kwargs(self):
"""verify we can call sorted w/ keyword args"""
import operator
inventory = [('apple', 3), ('banana', 2), ('pear', 5), ('orange', 1)]
getcount = operator.itemgetter(1)
sorted_inventory = sorted(inventory, key=getcount)
def test_kwargs2(self):
"""verify proper handling of keyword args for python functions"""
def kwfunc(a,b,c): pass
try:
kwfunc(10, 20, b=30)
self.assertTrue(False)
except TypeError:
pass
try:
kwfunc(10, None, b=30)
self.assertTrue(False)
except TypeError:
pass
try:
kwfunc(10, None, 40, b=30)
self.assertTrue(False)
except TypeError:
pass
if is_cli:
import System
# Test Hashtable and Dictionary.
htlist = [System.Collections.Generic.Dictionary[System.Object, System.Object]()]
htlist += [System.Collections.Hashtable()]
for ht in htlist:
def foo(**kwargs):
return kwargs['key']
ht['key'] = 'xyz'
self.assertEqual(foo(**ht), 'xyz')
def foo(a,b):
return a-b
self.assertEqual(foo(b=1, *(2,)), 1)
# kw-args passed to init through method instance
s = self
class foo:
def __init__(self, group=None, target=None):
s.assertEqual(group, None)
s.assertEqual(target,'baz')
a = foo(target='baz')
foo.__init__(a, target='baz')
@skipUnlessIronPython()
def test_params_method_no_params(self):
"""call a params method w/ no params"""
import clr
import System
self.assertEqual('abc\ndef'.Split()[0], 'abc')
self.assertEqual('abc\ndef'.Split()[1], 'def')
x = 'a bc def'.Split()
self.assertEqual(x[0], 'a')
self.assertEqual(x[1], 'bc')
self.assertEqual(x[2], '')
self.assertEqual(x[3], '')
self.assertEqual(x[4], 'def')
# calling Double.ToString(...) should work - Double is
# an OpsExtensibleType and doesn't define __str__ on this
# overload
self.assertEqual(System.Double.ToString(1.0, 'f', System.Globalization.CultureInfo.InvariantCulture), '1.00')
def test_incorrect_number_of_args(self):
"""Incorrect number of arguments"""
def f(a): pass
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (0 given)", f)
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (3 given)", f, 1, 2, 3)
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f)
self.assertRaisesMessage(TypeError, "f() takes 1 positional argument but 3 were given", f, 1, 2, 3)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, dummy=2)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, dummy=2)
#self.assertRaises calls f(*args), which generates a different AST than f(1,2,3)
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (0 given)", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (3 given)", lambda:f(1, 2, 3))
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes 1 positional argument but 3 were given", lambda:f(1, 2, 3))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(dummy=2))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(1, dummy=2))
def f(a,b,c,d,e,f,g,h,i,j): pass
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes exactly 10 arguments (0 given)", f)
self.assertRaisesMessage(TypeError, "f() takes exactly 10 arguments (3 given)", f, 1, 2, 3)
else:
self.assertRaisesMessage(TypeError, "f() missing 10 required positional arguments: 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', and 'j'", f)
self.assertRaisesMessage(TypeError, "f() missing 7 required positional arguments: 'd', 'e', 'f', 'g', 'h', 'i', and 'j'", f, 1, 2, 3)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, dummy=2)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, dummy=2)
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes exactly 10 arguments (0 given)", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes exactly 10 arguments (3 given)", lambda:f(1, 2, 3))
else:
self.assertRaisesMessage(TypeError, "f() missing 10 required positional arguments: 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', and 'j'", lambda:f())
self.assertRaisesMessage(TypeError, "f() missing 7 required positional arguments: 'd', 'e', 'f', 'g', 'h', 'i', and 'j'", lambda:f(1, 2, 3))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(dummy=2))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(1, dummy=2))
def f(a, b=2): pass
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes at least 1 argument (0 given)", f)
self.assertRaisesMessage(TypeError, "f() takes at most 2 arguments (3 given)", f, 1, 2, 3)
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f)
self.assertRaisesMessage(TypeError, "f() takes from 1 to 2 positional arguments but 3 were given", f, 1, 2, 3)
if is_cli: #CPython bug 9326
self.assertRaisesMessage(TypeError, "f() takes at least 1 non-keyword argument (0 given)", f, b=2)
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f, b=2)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, dummy=3)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, b=2, dummy=3)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, 1, dummy=3)
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes at least 1 argument (0 given)", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes at most 2 arguments (3 given)", lambda:f(1, 2, 3))
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes from 1 to 2 positional arguments but 3 were given", lambda:f(1, 2, 3))
if is_cli: #CPython bug 9326
self.assertRaisesMessage(TypeError, "f() takes at least 1 non-keyword argument (0 given)", lambda:f(b=2))
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f(b=2))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(dummy=3))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(b=2, dummy=3))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(1, dummy=3))
def f(a, *argList): pass
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes at least 1 argument (0 given)", f)
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, dummy=2)
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", f, 1, dummy=2)
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes at least 1 argument (0 given)", lambda:f())
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f())
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(dummy=2))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(1, dummy=2))
def f(a, **keywordDict): pass
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (0 given)", f)
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (3 given)", f, 1, 2, 3)
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f)
self.assertRaisesMessage(TypeError, "f() takes 1 positional argument but 3 were given", f, 1, 2, 3)
if is_cli: #CPython bug 9326
self.assertRaisesMessage(TypeError, "f() takes exactly 1 non-keyword argument (0 given)", f, dummy=2)
self.assertRaisesMessage(TypeError, "f() takes exactly 1 non-keyword argument (0 given)", f, dummy=2, dummy2=3)
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f, dummy=2)
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", f, dummy=2, dummy2=3)
if is_cli:
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (0 given)", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes exactly 1 argument (3 given)", lambda:f(1, 2, 3))
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f())
self.assertRaisesMessage(TypeError, "f() takes 1 positional argument but 3 were given", lambda:f(1, 2, 3))
if is_cli: #CPython bug 9326
self.assertRaisesMessage(TypeError, "f() takes exactly 1 non-keyword argument (0 given)", lambda:f(dummy=2))
self.assertRaisesMessage(TypeError, "f() takes exactly 1 non-keyword argument (0 given)", lambda:f(dummy=2, dummy2=3))
else:
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f(dummy=2))
self.assertRaisesMessage(TypeError, "f() missing 1 required positional argument: 'a'", lambda:f(dummy=2, dummy2=3))
if is_cli:
self.assertRaisesMessage(TypeError, "abs() takes exactly 1 argument (0 given)", abs)
self.assertRaisesMessage(TypeError, "abs() takes exactly 1 argument (3 given)", abs, 1, 2, 3)
self.assertRaisesMessage(TypeError, "abs() got an unexpected keyword argument 'dummy'", abs, dummy=2)
self.assertRaisesMessage(TypeError, "abs() takes exactly 1 argument (2 given)", abs, 1, dummy=2)
self.assertRaisesMessage(TypeError, "abs() takes exactly 1 argument (0 given)", lambda:abs())
self.assertRaisesMessage(TypeError, "abs() takes exactly 1 argument (3 given)", lambda:abs(1, 2, 3))
self.assertRaisesMessage(TypeError, "abs() got an unexpected keyword argument 'dummy'", lambda:abs(dummy=2))
self.assertRaisesMessage(TypeError, "abs() takes exactly 1 argument (2 given)", lambda:abs(1, dummy=2))
else:
self.assertRaisesMessage(TypeError, "abs() takes exactly one argument (0 given)", abs)
self.assertRaisesMessage(TypeError, "abs() takes exactly one argument (3 given)", abs, 1, 2, 3)
self.assertRaisesMessage(TypeError, "abs() takes no keyword arguments", abs, dummy=2)
self.assertRaisesMessage(TypeError, "abs() takes no keyword arguments", abs, 1, dummy=2)
self.assertRaisesMessage(TypeError, "abs() takes exactly one argument (0 given)", lambda:abs())
self.assertRaisesMessage(TypeError, "abs() takes exactly one argument (3 given)", lambda:abs(1, 2, 3))
self.assertRaisesMessage(TypeError, "abs() takes no keyword arguments", lambda:abs(dummy=2))
self.assertRaisesMessage(TypeError, "abs() takes no keyword arguments", lambda:abs(1, dummy=2))
# list([m]) has one default argument (built-in type)
#self.assertRaisesMessage(TypeError, "list() takes at most 1 argument (2 given)", list, 1, 2)
#self.assertRaisesMessage(TypeError, "'dummy' is an invalid keyword argument for this function", apply, list, [], dict({"dummy":2}))
#======== BUG 697 ===========
#self.assertRaisesMessage(TypeError, "'dummy' is an invalid keyword argument for this function", apply, list, [1], dict({"dummy":2}))
# complex([x,y]) has two default argument (OpsReflectedType type)
#self.assertRaisesMessage(TypeError, "complex() takes at most 2 arguments (3 given)", complex, 1, 2, 3)
#self.assertRaisesMessage(TypeError, "'dummy' is an invalid keyword argument for this function", apply, complex, [], dict({"dummy":2}))
#self.assertRaisesMessage(TypeError, "'dummy' is an invalid keyword argument for this function", apply, complex, [1], dict({"dummy":2}))
# bool([x]) has one default argument (OpsReflectedType and valuetype type)
#self.assertRaisesMessage(TypeError, "bool() takes at most 1 argument (2 given)", bool, 1, 2)
#self.assertRaisesMessage(TypeError, "'dummy' is an invalid keyword argument for this function", apply, bool, [], dict({"dummy":2}))
#self.assertRaisesMessage(TypeError, "'dummy' is an invalid keyword argument for this function", apply, bool, [1], dict({"dummy":2}))
class UserClass(object): pass
if is_cli:
self.assertRaisesMessage(TypeError, "object.__new__() takes no parameters", UserClass, 1)
with self.assertRaisesMessage(TypeError, "object.__new__() takes no parameters"):
UserClass(*[], **dict({"dummy":2}))
else:
self.assertRaisesMessage(TypeError, "object() takes no parameters", UserClass, 1)
with self.assertRaisesMessage(TypeError, "object() takes no parameters"):
UserClass(*[], **dict({"dummy":2}))
class OldStyleClass: pass
if is_cli:
self.assertRaisesMessage(TypeError, "object.__new__() takes no parameters", OldStyleClass, 1)
with self.assertRaisesMessage(TypeError, "object.__new__() takes no parameters"):
OldStyleClass(*[], **dict({"dummy":2}))
else:
self.assertRaisesMessage(TypeError, "object() takes no parameters", OldStyleClass, 1)
with self.assertRaisesMessage(TypeError, "object() takes no parameters"):
OldStyleClass(*[], **dict({"dummy":2}))
@skipUnlessIronPython()
def test_runtime_type_checking(self):
"""accepts / returns runtype type checking tests"""
import clr
@clr.accepts(object)
def foo(x):
return x
self.assertEqual(foo('abc'), 'abc')
self.assertEqual(foo(2), 2)
self.assertEqual(foo(long(2)), long(2))
self.assertEqual(foo(2.0), 2.0)
self.assertEqual(foo(True), True)
@clr.accepts(str)
def foo(x):
return x
self.assertEqual(foo('abc'), 'abc')
self.assertRaises(AssertionError, foo, 2)
self.assertRaises(AssertionError, foo, long(2))
self.assertRaises(AssertionError, foo, 2.0)
self.assertRaises(AssertionError, foo, True)
@clr.accepts(str, bool)
def foo(x, y):
return x, y
self.assertEqual(foo('abc', True), ('abc', True))
self.assertRaises(AssertionError, foo, ('abc',2))
self.assertRaises(AssertionError, foo, ('abc',long(2)))
self.assertRaises(AssertionError, foo, ('abc',2.0))
class bar:
@clr.accepts(clr.Self(), str)
def foo(self, x):
return x
a = bar()
self.assertEqual(a.foo('xyz'), 'xyz')
self.assertRaises(AssertionError, a.foo, 2)
self.assertRaises(AssertionError, a.foo, long(2))
self.assertRaises(AssertionError, a.foo, 2.0)
self.assertRaises(AssertionError, a.foo, True)
@clr.returns(str)
def foo(x):
return x
self.assertEqual(foo('abc'), 'abc')
self.assertRaises(AssertionError, foo, 2)
self.assertRaises(AssertionError, foo, long(2))
self.assertRaises(AssertionError, foo, 2.0)
self.assertRaises(AssertionError, foo, True)
@clr.accepts(bool)
@clr.returns(str)
def foo(x):
if x: return str(x)
else: return 0
self.assertEqual(foo(True), 'True')
self.assertRaises(AssertionError, foo, 2)
self.assertRaises(AssertionError, foo, long(2))
self.assertRaises(AssertionError, foo, False)
@clr.returns(None)
def foo(): pass
self.assertEqual(foo(), None)
def test_error_message(self):
try:
repr()
except TypeError as e:
# make sure we get the right type name when calling w/ wrong # of args
self.assertTrue(str(e).startswith("repr()"))
def test_caller_context(self):
# access a method w/ caller context w/ an args parameter.
def foo(*args):
return hasattr(*args)
self.assertEqual(foo('', 'index'), True)
@skipUnlessIronPython()
def test_dispatch_to_ReflectOptimized(self):
"""dispatch to a ReflectOptimized method"""
from iptest.console_util import IronPythonInstance
from System import Environment
from sys import executable
wkdir = self.test_dir
if "-X:LightweightScopes" in Environment.GetCommandLineArgs():
ipi = IronPythonInstance(executable, wkdir, "-X:LightweightScopes", "-X:BasicConsole")
else:
ipi = IronPythonInstance(executable, wkdir, "-X:BasicConsole")
if (ipi.Start()):
try:
result = ipi.ExecuteLine("from iptest.ipunittest import load_ironpython_test")
result = ipi.ExecuteLine("load_ironpython_test()")
result = ipi.ExecuteLine("from IronPythonTest import DefaultParams")
response = ipi.ExecuteLine("DefaultParams.FuncWithDefaults(1100, z=82)")
self.assertEqual(response, '1184')
finally:
ipi.End()
def test_zip(self):
p = ((1, 2),)
self.assertEqual(list(zip(*(p * 10))), [(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (2, 2, 2, 2, 2, 2, 2, 2, 2, 2)])
self.assertEqual(list(zip(*(p * 10))), [(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (2, 2, 2, 2, 2, 2, 2, 2, 2, 2)])
def test_super(self):
class A(object): pass
class B(A): pass
#unbound super
for x in [super(B), super(B,None)]:
self.assertEqual(x.__thisclass__, B)
self.assertEqual(x.__self__, None)
self.assertEqual(x.__self_class__, None)
# super w/ both types
x = super(B,B)
self.assertEqual(x.__thisclass__,B)
self.assertEqual(x.__self_class__, B)
self.assertEqual(x.__self__, B)
# super w/ type and instance
b = B()
x = super(B, b)
self.assertEqual(x.__thisclass__,B)
self.assertEqual(x.__self_class__, B)
self.assertEqual(x.__self__, b)
# super w/ mixed types
x = super(A,B)
self.assertEqual(x.__thisclass__,A)
self.assertEqual(x.__self_class__, B)
self.assertEqual(x.__self__, B)
# invalid super cases
try:
x = super(B, 'abc')
self.assertUnreachable()
except TypeError:
pass
try:
super(B,A)
self.assertUnreachable()
except TypeError:
pass
class A(object):
def __init__(self, name):
self.__name__ = name
def meth(self):
return self.__name__
classmeth = classmethod(meth)
class B(A): pass
b = B('derived')
self.assertEqual(super(B,b).__thisclass__.__name__, 'B')
self.assertEqual(super(B,b).__self__.__name__, 'derived')
self.assertEqual(super(B,b).__self_class__.__name__, 'B')
self.assertEqual(super(B,b).classmeth(), 'B')
# descriptor supper
class A(object):
def meth(self): return 'A'
class B(A):
def meth(self):
return 'B' + self.__super.meth()
B._B__super = super(B)
b = B()
self.assertEqual(b.meth(), 'BA')
def test_class_method_calls(self):
"""class method should get correct meta class."""
class D(object):
@classmethod
def classmeth(cls): pass
self.assertEqual(D.classmeth.__class__, MethodType)
class MetaType(type): pass
class D(object, metaclass = MetaType):
@classmethod
def classmeth(cls): pass
self.assertEqual(D.classmeth.__class__, MethodType)
def test_cases(self):
def runTest(testCase):
class foo(testCase.subtype):
def __new__(cls, param):
ret = testCase.subtype.__new__(cls, param)
self.assertTrue(ret == testCase.newEq)
self.assertTrue((ret != testCase.newEq) != True)
return ret
def __init__(self, param):
testCase.subtype.__init__(self, param)
self.assertTrue(self == testCase.initEq)
self.assertTrue((self != testCase.initEq) != True)
a = foo(testCase.param)
self.assertTrue((type(a) == foo) == testCase.match)
class TestCase(object):
__slots__ = ['subtype', 'newEq', 'initEq', 'match', 'param']
def __init__(self, subtype, newEq, initEq, match, param):
self.match = match
self.subtype = subtype
self.newEq = newEq
self.initEq = initEq
self.param = param
cases = [TestCase(int, 2, 2, True, 2),
TestCase(list, [], [2,3,4], True, (2,3,4)),
TestCase(deque, deque(), deque((2,3,4)), True, (2,3,4)),
TestCase(set, set(), set((2,3,4)), True, (2,3,4)),
TestCase(frozenset, frozenset((2,3,4)), frozenset((2,3,4)), True, (2,3,4)),
TestCase(tuple, (2,3,4), (2,3,4), True, (2,3,4)),
TestCase(str, 'abc', 'abc', True, 'abc'),
TestCase(float, 2.3, 2.3, True, 2.3),
TestCase(type, type(object), type(object), False, object),
TestCase(long, long(10000000000), long(10000000000), True, long(10000000000)),
#TestCase(complex, complex(2.0, 0), complex(2.0, 0), True, 2.0), # complex is currently a struct w/ no extensibel, we fail here
# TestCase(file, 'abc', True), # ???
]
for case in cases:
runTest(case)
@unittest.skipIf(is_posix or is_netcoreapp, 'missing System.Windows.Forms support')
@skipUnlessIronPython()
def test_call_base_init(self):
"""verify we can call the base init directly"""
import clr
clr.AddReferenceByPartialName('System.Windows.Forms')
from System.Windows.Forms import Form
class MyForm(Form):
def __init__(self, title):
Form.__init__(self)
self.Text = title
a = MyForm('abc')
self.assertEqual(a.Text, 'abc')
#TestCase(bool, True, True), # not an acceptable base type
def test_func_flags(self):
def foo0(): pass
def foo1(*args): pass
def foo2(**args): pass
def foo3(*args, **kwargs): pass
def foo4(a): pass
def foo5(a, *args): pass
def foo6(a, **args): pass
def foo7(a, *args, **kwargs): pass
def foo8(a,b,c,d,e,f): pass
def foo9(a,b): pass
self.assertEqual(foo0.__code__.co_flags & 12, 0)
self.assertEqual(foo1.__code__.co_flags & 12, 4)
self.assertEqual(foo2.__code__.co_flags & 12, 8)
self.assertEqual(foo3.__code__.co_flags & 12, 12)
self.assertEqual(foo4.__code__.co_flags & 12, 0)
self.assertEqual(foo5.__code__.co_flags & 12, 4)
self.assertEqual(foo6.__code__.co_flags & 12, 8)
self.assertEqual(foo7.__code__.co_flags & 12, 12)
self.assertEqual(foo8.__code__.co_flags & 12, 0)
self.assertEqual(foo9.__code__.co_flags & 12, 0)
self.assertEqual(foo0.__code__.co_argcount, 0)
self.assertEqual(foo1.__code__.co_argcount, 0)
self.assertEqual(foo2.__code__.co_argcount, 0)
self.assertEqual(foo3.__code__.co_argcount, 0)
self.assertEqual(foo4.__code__.co_argcount, 1)
self.assertEqual(foo5.__code__.co_argcount, 1)
self.assertEqual(foo6.__code__.co_argcount, 1)
self.assertEqual(foo7.__code__.co_argcount, 1)
self.assertEqual(foo8.__code__.co_argcount, 6)
self.assertEqual(foo9.__code__.co_argcount, 2)
def test_big_calls(self):
# check various function call sizes and boundaries
sizes = [3, 4, 5, 7, 8, 9, 13, 15, 16, 17, 23, 24, 25, 31, 32, 33, 47, 48, 49, 63, 64, 65, 127, 128, 129, 254, 255, 256, 257, 258, 511, 512, 513]
# mono has a limitation of < 1023
if not is_mono:
sizes.extend([1023, 1024, 1025, 2047, 2048, 2049])
for size in sizes:
d = {}
# w/o defaults
if size <= 255 or is_cli:
exec('def f(' + ','.join(['a' + str(i) for i in range(size)]) + '): return ' + ','.join(['a' + str(i) for i in range(size)]), d)
else:
with self.assertRaises(SyntaxError):
exec('def f(' + ','.join(['a' + str(i) for i in range(size)]) + '): return ' + ','.join(['a' + str(i) for i in range(size)]), d)
continue
# w/ defaults
exec('def g(' + ','.join(['a' + str(i) + '=' + str(i) for i in range(size)]) + '): return ' + ','.join(['a' + str(i) for i in range(size)]), d)
if size <= 255 or is_cli:
# CPython allows function definitions > 255, but not calls w/ > 255 params.
exec('a = f(' + ', '.join([str(x) for x in range(size)]) + ')', d)
self.assertEqual(d["a"], tuple(range(size)))
exec('a = g()', d)
self.assertEqual(d["a"], tuple(range(size)))
exec('a = g(' + ', '.join([str(x) for x in range(size)]) + ')', d)
self.assertEqual(d["a"], tuple(range(size)))
exec('a = f(*(' + ', '.join([str(x) for x in range(size)]) + '))', d)
self.assertEqual(d["a"], tuple(range(size)))
def test_compile(self):
x = compile("print(2/3)", "<string>", "exec", 8192)
if is_cli:
self.assertEqual(x.co_flags & 8192, 0)
else:
self.assertEqual(x.co_flags & 8192, 8192)
x = compile("2/3", "<string>", "eval", 8192)
self.assertEqual(eval(x), 2.0 / 3.0)
names = [ "", ".", "1", "\n", " ", "@", "%^",
"a", "A", "Abc", "aBC", "filename.py",
"longlonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglonglong",
"""
stuff
more stuff
last stuff
"""
]
for name in names:
self.assertEqual(compile("print(2/3)", name, "exec", 8192).co_filename,
name)
def test_filename(self):
c = compile("x = 2", "test", "exec")
self.assertEqual(c.co_filename, 'test')
def test_name(self):
def f(): pass
f.__name__ = 'g'
self.assertEqual(f.__name__, 'g')
if is_cli:
self.assertTrue(repr(f).startswith('<function g'))
else:
self.assertTrue(repr(f).startswith('<function FunctionTest.test_name.<locals>.f'))
f.__qualname__ = 'x'
self.assertEqual(f.__qualname__, 'x')
if is_cli:
self.assertTrue(repr(f).startswith('<function g'))
else:
self.assertTrue(repr(f).startswith('<function x'))
def test_argcount(self):
def foo0(): pass
def foo1(*args): pass
def foo2(**args): pass
def foo3(*args, **kwargs): pass
def foo4(a): pass
def foo5(a, *args): pass
def foo6(a, **args): pass
def foo7(a, *args, **kwargs): pass
def foo8(a,b,c,d,e,f): pass
def foo9(a,b): pass
self.assertEqual(foo0.__code__.co_argcount, 0)
self.assertEqual(foo1.__code__.co_argcount, 0)
self.assertEqual(foo2.__code__.co_argcount, 0)
self.assertEqual(foo3.__code__.co_argcount, 0)
self.assertEqual(foo4.__code__.co_argcount, 1)
self.assertEqual(foo5.__code__.co_argcount, 1)
self.assertEqual(foo6.__code__.co_argcount, 1)
self.assertEqual(foo7.__code__.co_argcount, 1)
self.assertEqual(foo8.__code__.co_argcount, 6)
self.assertEqual(foo9.__code__.co_argcount, 2)
def test_defaults(self):
defaults = [None, object, int, [], 3.14, [3.14], (None,), "a string"]
for default in defaults:
def helperFunc(): pass
self.assertEqual(helperFunc.__defaults__, None)
self.assertEqual(helperFunc.__defaults__, None)
def helperFunc1(a): pass
self.assertEqual(helperFunc1.__defaults__, None)
self.assertEqual(helperFunc1.__defaults__, None)
def helperFunc2(a=default): pass
self.assertEqual(helperFunc2.__defaults__, (default,))
helperFunc2(a=7)
self.assertEqual(helperFunc2.__defaults__, (default,))
def helperFunc3(a, b=default, c=[42]): c.append(b)
self.assertEqual(helperFunc3.__defaults__, (default, [42]))
helperFunc3("stuff")
self.assertEqual(helperFunc3.__defaults__, (default, [42, default]))
def test_splat_defaults(self):
def g(a, b, x=None):
return a, b, x
def f(x, *args):
return g(x, *args)
self.assertEqual(f(1, *(2,)), (1,2,None))
def test_argument_eval_order(self):
"""Check order of evaluation of function arguments"""
x = [1]
def noop(a, b, c):
pass
noop(x.append(2), x.append(3), x.append(4))
self.assertEqual(x, [1,2,3,4])
def test_method_attr_access(self):
class foo(object):
def f(self): pass
abc = 3
self.assertEqual(MethodType(foo, 'abc').abc, 3)
#TODO: @skip("interpreted") # we don't have FuncEnv's in interpret modes so this always returns None
def test_function_closure_negative(self):
def f(): pass
for assignment_val in [None, 1, "a string"]:
with self.assertRaises(AttributeError):
f.__closure__ = assignment_val
def test_paramless_function_call_error(self):
def f(): pass
try:
f(*(1, ))
self.assertUnreachable()
except TypeError: pass
try:
f(**{'abc':'def'})
self.assertUnreachable()
except TypeError: pass
def test_function_closure(self):
def f(): pass
self.assertEqual(f.__closure__, None)
def f():
def g(): pass
return g
self.assertEqual(f().__closure__, None)
def f():
x = 4
def g(): return x
return g
self.assertEqual(sorted([x.cell_contents for x in f().__closure__]), [4])
def f():
x = 4
def g():
y = 5
def h(): return x,y
return h
return g()
self.assertEqual(sorted([x.cell_contents for x in f().__closure__]), [4, 5])
# don't use z
def f():
x = 4
def g():
y = 5
z = 7
def h(): return x,y
return h
return g()
self.assertEqual(sorted([x.cell_contents for x in f().__closure__]), [4, 5])
def f():
x = 4
def g():
y = 5
z = 7
def h(): return x,y,z
return h
return g()
self.assertEqual(sorted([x.cell_contents for x in f().__closure__]), [4, 5, 7])
def f():
x = 4
a = 9
def g():
y = 5
z = 7
def h(): return x,y
return h
return g()
self.assertEqual(sorted([x.cell_contents for x in f().__closure__]), [4, 5])
# closure cells are not recreated
callRes = f()
a = sorted([id(x) for x in callRes.__closure__])
b = sorted([id(x) for x in callRes.__closure__])
self.assertEqual(a, b)
def f():
x = 4
a = 9
def g():
y = 5
z = 7
def h(): return x,y,a,z
return h
return g()
self.assertEqual(sorted([x.cell_contents for x in f().__closure__]), [4, 5, 7, 9])
self.assertRaises(TypeError, hash, f().__closure__[0])
def f():
x = 5
def g():
return x
return g
def h():
x = 5
def g():
return x
return g
def j():
x = 6
def g():
return x
return g
self.assertEqual(f().__closure__[0], h().__closure__[0])
self.assertTrue(f().__closure__[0] != j().__closure__[0])
# <cell at 45: int object at 44>
self.assertTrue(repr(f().__closure__[0]).startswith('<cell at '))
self.assertTrue(repr(f().__closure__[0]).find(': int object at ') != -1)
def test_func_code(self):
def foo(): pass
def assign(): foo.__code__ = None
self.assertRaises(TypeError, assign)
def def_func_doc(self):
foo.func_doc = 'abc'
self.assertEqual(foo.__doc__, 'abc')
foo.__doc__ = 'def'
self.assertEqual(foo.func_doc, 'def')
foo.func_doc = None
self.assertEqual(foo.__doc__, None)
self.assertEqual(foo.func_doc, None)
def test_func_defaults(self):
def f(a, b): return (a, b)
f.__defaults__ = (1,2)
self.assertEqual(f(), (1,2))
f.__defaults__ = (1,2,3,4)
self.assertEqual(f(), (3,4))
f.__defaults__ = None
self.assertRaises(TypeError, f)
f.__defaults__ = (1,2)
self.assertEqual(f.__defaults__, (1,2))
del f.__defaults__
self.assertEqual(f.__defaults__, None)
del f.__defaults__
self.assertEqual(f.__defaults__, None)
def func_with_many_args(one, two, three, four, five, six, seven, eight, nine, ten, eleven=None, twelve=None, thirteen=None, fourteen=None, fifteen=None, sixteen=None, seventeen=None, eighteen=None, nineteen=None):
print('hello')
func_with_many_args(None, None, None, None, None, None, None, None, None, None)
def test_func_dict(self):
def f(): pass
f.abc = 123
self.assertEqual(f.__dict__, {'abc': 123})
f.__dict__ = {'def': 'def'}
self.assertEqual(hasattr(f, 'def'), True)
self.assertEqual(getattr(f, 'def'), 'def')
f.__dict__ = {}
self.assertEqual(hasattr(f, 'abc'), False)
self.assertEqual(hasattr(f, 'def'), False)
self.assertRaises(TypeError, lambda : delattr(f, '__dict__'))
def test_method(self):
method = MethodType(id, object())
self.assertEqual(method.__class__, MethodType)
class myobj:
def __init__(self, val):
self.val = val
self.called = []
def __hash__(self):
self.called.append('hash')
return hash(self.val)
def __eq__(self, other):
self.called.append('eq')
return self.val == other.val
def __call__(*args): pass
func1, func2 = myobj(2), myobj(2)
inst1, inst2 = myobj(3), myobj(3)
m1 = MethodType(func1, inst1)
m2 = MethodType(func2, inst2)
self.assertEqual(m1, m2)
self.assertTrue('eq' in func1.called)
self.assertTrue('eq' in inst1.called)
hash(m1)
self.assertTrue('hash' in func1.called)
self.assertTrue('hash' in inst1.called)
def test_function_type(self):
def f1(): pass
def f2(a): pass
def f3(a, b, c): pass
def f4(*a, **b): pass
def decorator(f): return f
@decorator
def f5(a): pass
for x in [ f2, f3, f4, f5]:
self.assertEqual(type(f1), type(x))
def test_name_mangled_params(self):
def f1(__a): pass
def f2(__a): return __a
def f3(a, __a): return __a
def f4(_a, __a): return _a + __a
f1("12")
self.assertEqual(f2("hello"), "hello")
self.assertEqual(f3("a","b"), "b")
self.assertEqual(f4("a","b"), "ab")
def test_splat_none(self):
def f(*args): pass
def g(**kwargs): pass
def h(*args, **kwargs): pass
#CodePlex 20250
self.assertRaisesMessage(TypeError, "f() argument after * must be a sequence, not NoneType", lambda : f(*None))
self.assertRaisesMessage(TypeError, "g() argument after ** must be a mapping, not NoneType", lambda : g(**None))
self.assertRaisesMessage(TypeError, "h() argument after ** must be a mapping, not NoneType", lambda : h(*None, **None))
def test_exec_funccode(self):
# can't exec a func code w/ parameters
def f(a, b, c): print(a, b, c)
self.assertRaises(TypeError, lambda : eval(f.__code__))
# can exec *args/**args
def f(*args): pass
exec(f.__code__, {}, {})
def f(*args, **kwargs): pass
exec(f.__code__, {}, {})
# can't exec function which closes over vars
def f():
x = 2
def g():
print(x)
return g.__code__
self.assertRaises(TypeError, lambda : eval(f()))
def test_exec_funccode_filename(self):
import sys
mod = type(sys)('fake_mod_name')
mod.__file__ = 'some file'
exec("def x(): pass", mod.__dict__)
self.assertEqual(mod.x.__code__.co_filename, '<string>')
def test_func_code_variables(self):
def CompareCodeVars(code, varnames, names, freevars, cellvars):
self.assertEqual(code.co_varnames, varnames)
self.assertEqual(code.co_names, names)
self.assertEqual(code.co_freevars, freevars)
self.assertEqual(code.co_cellvars, cellvars)
# simple local
def f():
a = 2
CompareCodeVars(f.__code__, ('a', ), (), (), ())
# closed over var
def f():
a = 2
def g():
a
return g
CompareCodeVars(f.__code__, ('g', ), (), (), ('a', ))
CompareCodeVars(f().__code__, (), (), ('a', ), ())
# explicitly marked global
def f():
global a
a = 2
CompareCodeVars(f.__code__, (), ('a', ), (), ())
# implicit global
def f():
some_global
CompareCodeVars(f.__code__, (), ('some_global', ), (), ())
# global that's been "closed over"
def f():
global a
a = 2
def g():
a
return g
CompareCodeVars(f.__code__, ('g', ), ('a', ), (), ())
CompareCodeVars(f().__code__, (), ('a', ), (), ())
# multi-depth closure
def f():
a = 2
def g():
x = a
def h():
y = a
return h
return g
CompareCodeVars(f.__code__, ('g', ), (), (), ('a', ))
CompareCodeVars(f().__code__, ('x', 'h'), (), ('a', ), ())
CompareCodeVars(f()().__code__, ('y', ), (), ('a', ), ())
# multi-depth closure 2
def f():
a = 2
def g():
def h():
y = a
return h
return g
CompareCodeVars(f.__code__, ('g', ), (), (), ('a', ))
CompareCodeVars(f().__code__, ('h', ), (), ('a', ), ())
CompareCodeVars(f()().__code__, ('y', ), (), ('a', ), ())
# closed over parameter
def f(a):
def g():
return a
return g
CompareCodeVars(f.__code__, ('a', 'g'), (), (), ('a', ))
CompareCodeVars(f(42).__code__, (), (), ('a', ), ())
def test_delattr(self):
def f(): pass
f.abc = 42
del f.abc
def g(): f.abc
self.assertRaises(AttributeError, g)
def test_cp35180(self):
def foo():
return 13
def bar():
return 42
dpf = copyfunc(foo, "dpf")
self.assertEqual(dpf(), 13)
foo.__code__ = bar.__code__
self.assertEqual(foo(), 42)
self.assertEqual(dpf(), 13)
self.assertEqual(foo.__module__, '__main__')
self.assertEqual(dpf.__module__, '__main__')
def test_cp34932(self):
def get_global_variable():
return global_variable
def set_global_variable(v):
global global_variable
global_variable = v
alt_globals = {'global_variable' : 66 }
get_global_variable_x = substitute_globals(get_global_variable, "get_global_variable_x", alt_globals)
set_global_variable_x = substitute_globals(set_global_variable, "set_global_variable_x", alt_globals)
self.assertEqual(get_global_variable(), 13)
self.assertEqual(get_global_variable_x(), 66)
self.assertEqual(get_global_variable(), 13)
set_global_variable_x(7)
self.assertEqual(get_global_variable_x(), 7)
self.assertEqual(get_global_variable(), 13)
self.assertEqual(get_global_variable_x.__module__, None)
self.assertEqual(set_global_variable_x.__module__, None)
get_global_variable_y = substitute_globals(get_global_variable, "get_global_variable_x", globals())
self.assertEqual(get_global_variable_y(), 13)
self.assertEqual(get_global_variable_y.__module__, '__main__')
def test_issue1351(self):
class X(object):
def __init__(self, res):
self.called = []
self.res = res
def __eq__(self, other):
self.called.append('eq')
return self.res
def foo(self):
pass
a = X(True)
b = X(False)
self.assertEqual(a.foo, a.foo)
self.assertNotIn('eq', a.called)
self.assertEqual(a.foo, b.foo)
self.assertIn('eq', a.called)
self.assertEqual(b.foo, b.foo)
self.assertNotIn('eq', b.called)
self.assertNotEqual(b.foo, a.foo)
self.assertIn('eq', b.called)
@unittest.skipUnless(is_cli, "NotImplementedError only on IronPython")
def test_function_type(self):
fn_with_closure = create_fn_with_closure()
def fn_no_closure():
pass
self.assertRaises(NotImplementedError, copyfunc, fn_with_closure, "new_fn_name")
self.assertRaises(NotImplementedError, FunctionType, fn_with_closure.__code__,
fn_with_closure.__globals__, "name", fn_with_closure.__defaults__)
self.assertRaises(NotImplementedError, FunctionType, fn_with_closure.__code__,
fn_with_closure.__globals__, "name", fn_with_closure.__defaults__,
fn_with_closure.__closure__)
self.assertRaises(NotImplementedError, FunctionType, fn_no_closure.__code__,
fn_no_closure.__globals__, "name", fn_no_closure.__defaults__,
fn_with_closure.__closure__)
run_test(__name__)
| 37.731214 | 347 | 0.562294 | 6,433 | 52,220 | 4.399036 | 0.089227 | 0.09488 | 0.11534 | 0.07813 | 0.59571 | 0.53804 | 0.477084 | 0.450263 | 0.436941 | 0.410651 | 0 | 0.035075 | 0.301168 | 52,220 | 1,383 | 348 | 37.758496 | 0.740389 | 0.071505 | 0 | 0.386497 | 0 | 0.003914 | 0.122231 | 0.011127 | 0.000978 | 0 | 0 | 0.000723 | 0.351272 | 1 | 0.220157 | false | 0.074364 | 0.015656 | 0.055773 | 0.319961 | 0.004892 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
1eee071e692e59954d230ecaeffaf649dc249395 | 240 | py | Python | yambopy/bse/__init__.py | QU-XIAO/yambopy | ff65a4f90c1bfefe642ebc61e490efe781709ff9 | [
"BSD-3-Clause"
] | 21 | 2016-04-07T20:53:29.000Z | 2021-05-14T08:06:02.000Z | yambopy/bse/__init__.py | alexmoratalla/yambopy | 8ec0e1e18868ccaadb3eab36c55e6a47021e257d | [
"BSD-3-Clause"
] | 22 | 2016-06-14T22:29:47.000Z | 2021-09-16T15:36:26.000Z | yambopy/bse/__init__.py | alexmoratalla/yambopy | 8ec0e1e18868ccaadb3eab36c55e6a47021e257d | [
"BSD-3-Clause"
] | 15 | 2016-06-14T18:40:57.000Z | 2021-08-07T13:17:43.000Z | # Copyright (C) 2018 Henrique Pereira Coutada Miranda
# All rights reserved.
#
# This file is part of yambopy
#
#
"""
submodule with classes to read BSE optical absorption spectra claculations
and information about the excitonic states
"""
| 21.818182 | 74 | 0.770833 | 32 | 240 | 5.78125 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.166667 | 240 | 10 | 75 | 24 | 0.905 | 0.916667 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1ef17d4bf1909adc19f7d687d9500270c2c5a6a0 | 1,712 | py | Python | janggoCompany/apply/models.py | jangheeseung/janggo_system | d251ad88483aa4a4ca43183cdb5d72ff98213540 | [
"MIT"
] | null | null | null | janggoCompany/apply/models.py | jangheeseung/janggo_system | d251ad88483aa4a4ca43183cdb5d72ff98213540 | [
"MIT"
] | null | null | null | janggoCompany/apply/models.py | jangheeseung/janggo_system | d251ad88483aa4a4ca43183cdb5d72ff98213540 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
TYPE_CHOICES = (
('intern','intern'),
('employee','employee')
)
class Hire(models.Model):
kind = models.CharField(max_length=125)
num = models.IntegerField()
hire_type = models.CharField(max_length=125, choices=TYPE_CHOICES)
created_at = models.DateTimeField(auto_now_add=True)
start_date = models.DateTimeField()
end_date = models.DateTimeField()
content1 = models.TextField()
content2 = models.TextField()
def __str__(self):
return self.kind
def summary(self):
return self.kind[:20]
class Apply(models.Model):
name = models.CharField(max_length=125, blank=True, null=True)
age = models.IntegerField()
phone = models.CharField(max_length=125, blank=True, null=True)
e_mail = models.CharField(max_length=125, blank=True, null=True)
address = models.CharField(max_length=125, blank=True, null=True)
password = models.CharField(max_length=125, blank=True, null=True)
college = models.CharField(max_length=125, blank=True, null=True)
major = models.CharField(max_length=125, blank=True, null=True)
graduate = models.BooleanField(default=False)
document = models.FileField(upload_to='documents/', null=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
hire = models.ForeignKey(Hire, on_delete = models.CASCADE)
# 업로드된 파일과 객체를 삭제하는 메서드
def delete(self, *args, **kwargs):
self.document.delete()
self.filtered_document.delete()
super(Apply, self).delete(*args, **kwargs)
def __str__(self):
return self.name | 33.568627 | 70 | 0.688668 | 216 | 1,712 | 5.300926 | 0.351852 | 0.117904 | 0.141485 | 0.188646 | 0.448908 | 0.342358 | 0.342358 | 0.342358 | 0.268996 | 0 | 0 | 0.022367 | 0.190421 | 1,712 | 51 | 71 | 33.568627 | 0.803752 | 0.026869 | 0 | 0.105263 | 0 | 0 | 0.022837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0.026316 | 0.026316 | 0.078947 | 0.815789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
1ef1870cefc7f277338dbb93d9fc58436fe9fcf6 | 980 | py | Python | bin/serve.py | pombredanne/charset_normalizer | 4e1c47aaf13ea865024f9cbf434f5580939f5f35 | [
"MIT"
] | null | null | null | bin/serve.py | pombredanne/charset_normalizer | 4e1c47aaf13ea865024f9cbf434f5580939f5f35 | [
"MIT"
] | 7 | 2021-11-01T18:11:07.000Z | 2022-03-28T18:11:20.000Z | bin/serve.py | pombredanne/charset_normalizer | 4e1c47aaf13ea865024f9cbf434f5580939f5f35 | [
"MIT"
] | null | null | null | from flask import Flask, jsonify, send_from_directory
from glob import glob
app = Flask(__name__)
@app.route('/raw/<path:path>')
def read_file(path):
return send_from_directory('../char-dataset', path, as_attachment=True), 200, {"Content-Type": "text/plain"}
@app.route("/")
def read_targets():
return jsonify(
[
el.replace("./char-dataset", "/raw").replace("\\", "/") for el in glob("./char-dataset/**/*")
]
)
@app.route("/edge/empty/plain")
def read_empty_response_plain():
return b"", 200, {"Content-Type": "text/plain"}
@app.route("/edge/empty/json")
def read_empty_response_json():
return b"{}", 200, {"Content-Type": "application/json"}
@app.route("/edge/gb18030/json")
def read_gb18030_response_json():
return '{"abc": "我没有埋怨，磋砣的只是一些时间。。今觀俗士之論也，以族舉德，以位命賢，茲可謂得論之一體矣，而未獲至論之淑真也。"}'.encode("gb18030"), 200, {"Content-Type": "application/json"}
if __name__ == "__main__":
app.run(host="127.0.0.1", port=8080)
| 25.789474 | 140 | 0.652041 | 130 | 980 | 4.7 | 0.430769 | 0.065466 | 0.091653 | 0.05892 | 0.219313 | 0.101473 | 0.101473 | 0 | 0 | 0 | 0 | 0.043943 | 0.140816 | 980 | 37 | 141 | 26.486486 | 0.68171 | 0 | 0 | 0 | 0 | 0 | 0.321429 | 0.059184 | 0 | 0 | 0 | 0 | 0 | 1 | 0.208333 | false | 0 | 0.083333 | 0.208333 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
480467f865fae8ba1e2bc45837c26434d52917dc | 446 | py | Python | src/tagger.py | bamdadsabbagh/tagger | c34eb031dd4fe4a0c5ecb228eb32ddfd73983214 | [
"MIT"
] | 1 | 2020-11-30T15:40:36.000Z | 2020-11-30T15:40:36.000Z | src/tagger.py | bamdadsabbagh/tagger | c34eb031dd4fe4a0c5ecb228eb32ddfd73983214 | [
"MIT"
] | 30 | 2020-07-09T10:21:26.000Z | 2022-02-04T16:12:24.000Z | src/tagger.py | bamdadsabbagh/tagger | c34eb031dd4fe4a0c5ecb228eb32ddfd73983214 | [
"MIT"
] | null | null | null | # components
from env import *
from tagger_write_none import TaggerWriteNone
from tagger_write_data import TaggerWriteData
# packages
import style
def Tagger(files, discogs):
if discogs is None:
TaggerWriteNone(files)
return
print(style.blue(discogs['json'].get('artists_sort') + ' - ' + discogs['json'].get('title')))
print(style.blue(discogs['url']))
print()
TaggerWriteData(files, discogs)
return
| 20.272727 | 97 | 0.692825 | 52 | 446 | 5.846154 | 0.5 | 0.065789 | 0.098684 | 0.138158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190583 | 446 | 21 | 98 | 21.238095 | 0.842105 | 0.042601 | 0 | 0.153846 | 0 | 0 | 0.073113 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.307692 | 0 | 0.538462 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
4807f5a2dac238ed109d8d0b867dd586839c4db9 | 2,522 | py | Python | vulnerabilities/tests/test_import_command.py | ziadhany/vulnerablecode | c94ed5701a70bc836a66484f6d54aacc81c4288f | [
"Apache-2.0"
] | null | null | null | vulnerabilities/tests/test_import_command.py | ziadhany/vulnerablecode | c94ed5701a70bc836a66484f6d54aacc81c4288f | [
"Apache-2.0"
] | null | null | null | vulnerabilities/tests/test_import_command.py | ziadhany/vulnerablecode | c94ed5701a70bc836a66484f6d54aacc81c4288f | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) nexB Inc. and others. All rights reserved.
# VulnerableCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/vulnerablecode for support or download.
# See https://aboutcode.org for more information about nexB OSS projects.
#
from io import StringIO
from unittest.mock import patch
import pytest
from django.core.management import call_command
from django.core.management.base import CommandError
from django.test import TestCase
from vulnerabilities.importer import AdvisoryData
from vulnerabilities.importer import Importer
class DummyImporter(Importer):
spdx_license_expression = "dummy license"
def advisory_data(self):
return []
class UnLicensedImporter(Importer):
def advisory_data(self):
return []
MOCK_IMPORTERS_REGISTRY = [DummyImporter, UnLicensedImporter]
MOCK_IMPORTERS_REGISTRY = {
importer.qualified_name: importer for importer in MOCK_IMPORTERS_REGISTRY
}
@patch("vulnerabilities.importers.IMPORTERS_REGISTRY", MOCK_IMPORTERS_REGISTRY)
class TestImportCommand(TestCase):
def test_list_sources(self):
buf = StringIO()
call_command("import", "--list", stdout=buf)
out = buf.getvalue()
assert DummyImporter.qualified_name in out
def test_missing_sources(self):
with pytest.raises(CommandError) as cm:
call_command("import", stdout=StringIO())
err = str(cm)
assert 'Please provide at least one importer to run or use "--all"' in err
def test_error_message_includes_unknown_sources(self):
with pytest.raises(CommandError) as cm:
call_command(
"import",
DummyImporter.qualified_name,
"foo",
"bar",
stdout=StringIO(),
)
err = str(cm)
assert "bar" in err
assert "foo" in err
assert DummyImporter.qualified_name not in err
def test_import_run(self):
buf = StringIO()
call_command("import", DummyImporter.qualified_name, stdout=buf)
out = buf.getvalue()
assert "Successfully imported data using" in out
def test_bad_importer_fail_error(self):
buf = StringIO()
with pytest.raises(CommandError):
call_command("import", UnLicensedImporter.qualified_name, stdout=buf)
out = buf.getvalue()
assert "Failed to run importer" in out
| 30.756098 | 82 | 0.687946 | 299 | 2,522 | 5.668896 | 0.371237 | 0.038938 | 0.050147 | 0.026549 | 0.260767 | 0.231268 | 0.120354 | 0.120354 | 0.070796 | 0.070796 | 0 | 0.002056 | 0.22839 | 2,522 | 81 | 83 | 31.135802 | 0.868962 | 0.1364 | 0 | 0.254545 | 0 | 0 | 0.100046 | 0.020286 | 0 | 0 | 0 | 0 | 0.127273 | 1 | 0.127273 | false | 0 | 0.509091 | 0.036364 | 0.745455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
480d2657a8bbaaff56ff6a7cc550eac181c4dba8 | 111 | py | Python | 04-control_structures/cycles_2.py | palmieric/Tecnologie_Web-Introduzione_a_Python | b10ce49a947b239ca2af1938248f7191937b2f89 | [
"CC0-1.0"
] | 3 | 2021-05-17T14:48:42.000Z | 2021-05-24T10:12:06.000Z | 04-control_structures/cycles_2.py | palmieric/Tecnologie_Web-Introduzione_a_Python | b10ce49a947b239ca2af1938248f7191937b2f89 | [
"CC0-1.0"
] | null | null | null | 04-control_structures/cycles_2.py | palmieric/Tecnologie_Web-Introduzione_a_Python | b10ce49a947b239ca2af1938248f7191937b2f89 | [
"CC0-1.0"
] | 2 | 2021-05-17T13:52:15.000Z | 2021-05-24T10:44:54.000Z | # cycles 2
import random
x = None
while True:
x = random.randint(1, 100)
if x == 50:
break
print("x:", x)
| 11.1 | 27 | 0.612613 | 20 | 111 | 3.4 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082353 | 0.234234 | 111 | 9 | 28 | 12.333333 | 0.717647 | 0.072072 | 0 | 0 | 0 | 0 | 0.019802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
481b965bb62106b084dc7b9ac2639d6072035be9 | 260 | py | Python | tests/selecting/test_retain_falsy.py | sixty-north/les_iterables | 755cdde4dd9e3d56ce2f424ff0619bde7064e897 | [
"MIT"
] | 2 | 2020-07-04T22:21:10.000Z | 2021-12-10T14:38:18.000Z | tests/selecting/test_retain_falsy.py | sixty-north/les_iterables | 755cdde4dd9e3d56ce2f424ff0619bde7064e897 | [
"MIT"
] | 1 | 2020-05-26T12:01:50.000Z | 2020-05-26T12:01:50.000Z | tests/selecting/test_retain_falsy.py | sixty-north/les_iterables | 755cdde4dd9e3d56ce2f424ff0619bde7064e897 | [
"MIT"
] | null | null | null | from hypothesis import given
from hypothesis.strategies import integers, lists
from les_iterables.selecting import retain_falsy
@given(items=lists(integers()))
def test_retain_falsy(items):
result = list(retain_falsy(items))
assert not any(result)
| 21.666667 | 49 | 0.788462 | 35 | 260 | 5.714286 | 0.571429 | 0.165 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130769 | 260 | 11 | 50 | 23.636364 | 0.884956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.428571 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
482be7dd613a7b6adba2ff63e20a433e7aa4d956 | 1,714 | py | Python | accounts/urls.py | devmahmud/Django-Board | 89fe4694213678fd07ee035d57e642c415c8eb18 | [
"MIT"
] | 8 | 2019-10-12T18:28:20.000Z | 2022-03-28T15:25:16.000Z | accounts/urls.py | devmahmud/Django-Board | 89fe4694213678fd07ee035d57e642c415c8eb18 | [
"MIT"
] | null | null | null | accounts/urls.py | devmahmud/Django-Board | 89fe4694213678fd07ee035d57e642c415c8eb18 | [
"MIT"
] | 2 | 2021-08-01T17:23:48.000Z | 2021-10-16T21:41:13.000Z | from django.urls import path
from django.contrib.auth.views import LoginView, LogoutView
from django.contrib.auth import views as auth_views
from . import views
urlpatterns = [
path('login/', LoginView.as_view(template_name="registration/login.html"), name="login"),
path('logout/', LogoutView.as_view(), name="logout"),
path('register/', views.RegisterView.as_view(), name='register'),
path('user/profile/', views.UserUpdateView.as_view(), name='profile'),
path('password_change/', auth_views.PasswordChangeView.as_view(
template_name='registration/password_change.html',
), name='password_change'),
path('password_change_done/', auth_views.PasswordChangeDoneView.as_view(
template_name='registration/password_change_done.html',
), name='password_change_done'),
path('password_reset/', auth_views.PasswordResetView.as_view(
template_name='registration/password_reset.html',
email_template_name='registration/password_reset_email.html',
subject_template_name='registration/password_reset_subject.txt'),
name='password_reset'),
path('password_reset/done/', auth_views.PasswordResetDoneView.as_view(
template_name='registration/password_reset_done.html'),
name='password_reset_done'),
path('password_reset/confirm/<uidb64>/<token>/',
auth_views.PasswordResetConfirmView.as_view(
template_name='registration/password_reset_confirm.html'),
name='password_reset_confirm'),
path('password_reset/complete/', auth_views.PasswordResetCompleteView.as_view(
template_name='registration/password_reset_complete.html'),
name='password_reset_complete'),
]
| 41.804878 | 93 | 0.735706 | 194 | 1,714 | 6.195876 | 0.21134 | 0.151414 | 0.179701 | 0.212978 | 0.302829 | 0.216306 | 0.216306 | 0 | 0 | 0 | 0 | 0.001352 | 0.137106 | 1,714 | 40 | 94 | 42.85 | 0.811359 | 0 | 0 | 0 | 0 | 0 | 0.368145 | 0.263127 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.677419 | 0.129032 | 0 | 0.129032 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
482eccd5c1bb9ab64e3b6f7fdbe62500c96011a6 | 2,475 | py | Python | ooobuild/lo/form/component/html_form.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/form/component/html_form.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/form/component/html_form.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: // www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Service Class
# this is a auto generated file generated by Cheetah
# Libre Office Version: 7.3
# Namespace: com.sun.star.form.component
import typing
from abc import abstractproperty
from ..x_reset import XReset as XReset_71670917
from ..x_submit import XSubmit as XSubmit_7b060988
from .form import Form as Form_ca1d0c51
if typing.TYPE_CHECKING:
from ..form_submit_encoding import FormSubmitEncoding as FormSubmitEncoding_fdd50deb
from ..form_submit_method import FormSubmitMethod as FormSubmitMethod_e2a90d25
class HTMLForm(Form_ca1d0c51, XReset_71670917, XSubmit_7b060988):
"""
Service Class
This service specifies the special kind of Forms for HTML documents.
An HTMLForm fulfills the specification of forms in HTML. It supplies the possibility of submitting or resetting the contents of a form. For more information on HTML forms, please see the documentation of HTML.
See Also:
`API HTMLForm <https://api.libreoffice.org/docs/idl/ref/servicecom_1_1sun_1_1star_1_1form_1_1component_1_1HTMLForm.html>`_
"""
__ooo_ns__: str = 'com.sun.star.form.component'
__ooo_full_ns__: str = 'com.sun.star.form.component.HTMLForm'
__ooo_type_name__: str = 'service'
@abstractproperty
def SubmitEncoding(self) -> 'FormSubmitEncoding_fdd50deb':
"""
specifies the kind of encoding for submission.
"""
@abstractproperty
def SubmitMethod(self) -> 'FormSubmitMethod_e2a90d25':
"""
specifies the kind of submission.
"""
@abstractproperty
def TargetFrame(self) -> str:
"""
describes the frame, where to open the document specified by the TargetURL.
"""
@abstractproperty
def TargetURL(self) -> str:
"""
specifies the URL, which should be used for submission.
"""
__all__ = ['HTMLForm']
| 33.90411 | 213 | 0.726465 | 326 | 2,475 | 5.365031 | 0.493865 | 0.034305 | 0.017153 | 0.024014 | 0.045169 | 0.032018 | 0.032018 | 0 | 0 | 0 | 0 | 0.036869 | 0.2 | 2,475 | 72 | 214 | 34.375 | 0.846465 | 0.546667 | 0 | 0.190476 | 0 | 0 | 0.13347 | 0.11807 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0 | 0.333333 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
483788050ba4dd86d94f6708a04072bf6132335a | 771 | py | Python | dataapp/migrations/0001_initial.py | prabhuroy/joker-bot | 60ae8962e17f9263e249663d90906ae1a581d0f0 | [
"MIT"
] | null | null | null | dataapp/migrations/0001_initial.py | prabhuroy/joker-bot | 60ae8962e17f9263e249663d90906ae1a581d0f0 | [
"MIT"
] | null | null | null | dataapp/migrations/0001_initial.py | prabhuroy/joker-bot | 60ae8962e17f9263e249663d90906ae1a581d0f0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2021-11-20 18:02
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='UserData',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('userid', models.CharField(blank=True, max_length=100, null=True)),
('stupid_count', models.IntegerField(default=0)),
('fat_count', models.IntegerField(default=0)),
('dumb_count', models.IntegerField(default=0)),
],
),
]
| 28.555556 | 114 | 0.59144 | 81 | 771 | 5.481481 | 0.691358 | 0.074324 | 0.155405 | 0.202703 | 0.209459 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041219 | 0.276265 | 771 | 26 | 115 | 29.653846 | 0.75448 | 0.088197 | 0 | 0 | 1 | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
4837a7c275dffbefa76ca52b460999c4413b3376 | 1,116 | py | Python | tweetgo.py | ShreyasJothish/flask-graphene-neo4j | 55e4828915a8a1788c869d103f6867066c00b58c | [
"MIT"
] | 1 | 2019-06-01T15:22:32.000Z | 2019-06-01T15:22:32.000Z | tweetgo.py | ShreyasJothish/flask-graphene-neo4j | 55e4828915a8a1788c869d103f6867066c00b58c | [
"MIT"
] | null | null | null | tweetgo.py | ShreyasJothish/flask-graphene-neo4j | 55e4828915a8a1788c869d103f6867066c00b58c | [
"MIT"
] | 1 | 2021-09-28T01:19:08.000Z | 2021-09-28T01:19:08.000Z | from py2neo.ogm import GraphObject, Property
from py2neo.ogm import RelatedFrom
class Tweet(GraphObject):
text = Property()
timestamp = Property()
# Comment posted by a Person
poster = RelatedFrom("Person", "COMMENT_POSTED")
def add_or_update(self, **kwargs):
for key, value in kwargs.items():
if hasattr(self, key):
setattr(self, key, value)
def __init__(self, **kwargs):
self.add_or_update(**kwargs)
def as_dict(self):
return {
'key': self.__primaryvalue__,
'text': self.text,
'timestamp': self.timestamp
}
def update(self, **kwargs):
self.add_or_update(**kwargs)
# List interfaces
def add_or_update_poster(self, poster):
self.poster.update(poster)
def remove_poster(self, poster):
self.poster.remove(poster)
# Object level interfaces
def save(self, graph):
graph.push(self)
def delete(self, graph):
graph.delete(self)
# To avoid cyclic dependency import error
from persongo import Person # noqa: E402 F401
| 23.25 | 52 | 0.62276 | 132 | 1,116 | 5.113636 | 0.409091 | 0.02963 | 0.065185 | 0.056296 | 0.168889 | 0.091852 | 0.091852 | 0 | 0 | 0 | 0 | 0.009864 | 0.273297 | 1,116 | 47 | 53 | 23.744681 | 0.822441 | 0.109319 | 0 | 0.068966 | 0 | 0 | 0.036437 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.275862 | false | 0 | 0.103448 | 0.034483 | 0.551724 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
4843f7c6d9e7d2caf7c51551131bab1185160cea | 4,287 | py | Python | cw_tiler/vector_utils.py | dlindenbaum/cw-tiler | 2f306503d7399c365f76962afd526fae2fced843 | [
"BSD-3-Clause"
] | 1 | 2020-11-20T18:52:14.000Z | 2020-11-20T18:52:14.000Z | cw_tiler/vector_utils.py | dlindenbaum/cw-tiler | 2f306503d7399c365f76962afd526fae2fced843 | [
"BSD-3-Clause"
] | 1 | 2021-06-25T15:43:05.000Z | 2021-06-25T15:43:05.000Z | cw_tiler/vector_utils.py | dlindenbaum/cw-tiler | 2f306503d7399c365f76962afd526fae2fced843 | [
"BSD-3-Clause"
] | null | null | null | ## Note, for mac osx compatability import something from shapely.geometry before importing fiona or geopandas
## https://github.com/Toblerity/Shapely/issues/553
from shapely import geometry
from shapely.geometry import box
###
import geopandas as gpd
from rasterio import features
from rasterio import Affine
import numpy as np
def read_vector_file(geoFileName):
"""read in all Fiona Supported Files into geo DataFrame"""
gdf = gpd.read_file(geoFileName)
return gdf
def transformToUTM(gdf, utm_crs, estimate=True, calculate_sindex=True):
gdf = gdf.to_crs(utm_crs)
if calculate_sindex:
sindex = gdf.sindex
return gdf
def search_gdf_bounds(gdf, tile_bounds):
tile_polygon = box(tile_bounds)
smallGdf = search_gdf_polygon(gdf, tile_polygon)
return smallGdf
def search_gdf_polygon(gdf, tile_polygon):
spatial_index = gdf.sindex
possible_matches_index = list(spatial_index.intersection(tile_polygon.bounds))
possible_matches = gdf.iloc[possible_matches_index]
precise_matches = possible_matches[possible_matches.intersects(tile_polygon)]
if precise_matches.empty:
precise_matches=gpd.GeoDataFrame(geometry=[])
return precise_matches
def vector_tile_utm(gdf, tile_bounds, min_partial_perc=0.1, geom_type="Polygon", use_sindex=True):
tile_polygon = box(*tile_bounds)
small_gdf = clip_gdf(gdf, tile_polygon,
min_partial_perc=min_partial_perc,
geom_type=geom_type
)
return small_gdf
def getCenterOfGeoFile(gdf, estimate=True):
#TODO implement calculate UTM from gdf see osmnx implementation
pass
def clip_gdf(geodf, poly_to_cut, min_partial_perc=0.0, geom_type="Polygon", use_sindex=True):
"""clip geoDDF to a provided polygon. Will add four (4) for additional columns
origarea. If the geoDF is a set of Polygons, This is the original area of the polygons
origlen. If the geoDF is a set of LineStrings, this is the original length of the polygons
partialDec. This is the % of the polygon or line that was truncated. So NewArea/OrigArea.
Can be used to filter out on very small slivers
truncated. Binary Flag that specified if the polygon or line string has been modified
1=Truncated, 0=Not modified
params:
______
geoDF, a geopandas Dataframe
polyToCut: shapely polygon to cut geodataFrame By
minpartialPerc: Defined as the minimum % of a polygon that should be included
geom_type: is the geo Data Frame a polygon or LineString
returns clippedGeoDF
"""
# check if geoDF has origAreaField
if use_sindex:
gdf = search_gdf_polygon(geodf, poly_to_cut)
else:
gdf = geodf.copy()
if geom_type == "LineString":
if 'origarea' in gdf.columns:
pass
else:
gdf['origarea'] = 0
if 'origlen' in gdf.columns:
pass
else:
gdf['origlen'] = gdf.length
else:
if 'origarea' in gdf.columns:
pass
else:
gdf['origarea'] = gdf.area
if 'origlen' in gdf.columns:
pass
else:
gdf['origlen'] = 0
#TODO must implement different case for lines and for spatialIndex (Assume RTree is already performed)
cutGeoDF = gdf.copy()
cutGeoDF.geometry=gdf.intersection(poly_to_cut)
if geom_type== 'Polygon':
cutGeoDF['partialDec'] = cutGeoDF.area / cutGeoDF['origarea']
cutGeoDF = cutGeoDF.loc[cutGeoDF['partialDec'] > min_partial_perc].copy()
cutGeoDF['truncated'] = (cutGeoDF['partialDec']!=1.0).astype(int)
else:
#
cutGeoDF = cutGeoDF[cutGeoDF.geom_type != "GeometryCollection"]
cutGeoDF['partialDec']=1
cutGeoDF['truncated']=0
return cutGeoDF
def rasterize_gdf(gdf, burn_value=1, src_shape=None, src_transform=Affine(1.0, 0.0, 0.0, 0.0, 1.0, 0.0)):
if not gdf.empty:
img = features.rasterize(
((geom, burn_value) for geom in gdf.geometry),
out_shape=src_shape,
transform=src_transform,
)
else:
img = np.zeros(src_shape).astype(np.uint8)
return img
| 26.462963 | 109 | 0.664801 | 558 | 4,287 | 4.949821 | 0.311828 | 0.006517 | 0.006517 | 0.023172 | 0.132875 | 0.115496 | 0.070963 | 0.057929 | 0.057929 | 0 | 0 | 0.00939 | 0.254724 | 4,287 | 161 | 110 | 26.627329 | 0.855086 | 0.278516 | 0 | 0.240506 | 0 | 0 | 0.058159 | 0 | 0 | 0 | 0 | 0.012422 | 0 | 1 | 0.101266 | false | 0.063291 | 0.075949 | 0 | 0.265823 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
484473ac19918a6fc7947f43e4269bf803260d0e | 673 | py | Python | tcrdist/tests/test_setup_tests.py | agartland/tcrdist3 | 34f8d50e7448b2bf7cf7cd9ab9a2d80759f47240 | [
"MIT"
] | 26 | 2020-12-28T17:37:01.000Z | 2022-01-29T01:31:13.000Z | tcrdist/tests/test_setup_tests.py | agartland/tcrdist3 | 34f8d50e7448b2bf7cf7cd9ab9a2d80759f47240 | [
"MIT"
] | 31 | 2020-08-17T22:17:57.000Z | 2022-03-18T23:47:34.000Z | tcrdist/tests/test_setup_tests.py | agartland/tcrdist3 | 34f8d50e7448b2bf7cf7cd9ab9a2d80759f47240 | [
"MIT"
] | 7 | 2020-08-18T23:55:40.000Z | 2021-09-22T18:15:54.000Z | import pytest
from tcrdist import setup_tests #get_url, download_and_extract_zip_file
from tcrdist import paths
import os
def test_get_url():
url = setup_tests.get_url("bulk.csv.zip", source = 'dropbox')
assert url == "https://www.dropbox.com/s/g6k2h1ed5d5sabz/bulk.csv.zip?dl=1"
def test_download_and_extract_zip_file():
setup_tests.download_and_extract_zip_file(zipfile = "sant.csv.zip", source = 'dropbox', dest = paths.path_to_base)
# assert download succeed
assert os.path.isfile(os.path.join(paths.path_to_base, "sant.csv.zip"))
# assert download + unzip succeed
assert os.path.isfile(os.path.join(paths.path_to_base, "sant.csv"))
| 39.588235 | 118 | 0.7474 | 106 | 673 | 4.5 | 0.367925 | 0.050314 | 0.113208 | 0.132075 | 0.396226 | 0.238994 | 0.238994 | 0.238994 | 0.238994 | 0.238994 | 0 | 0.010274 | 0.132244 | 673 | 16 | 119 | 42.0625 | 0.806507 | 0.139673 | 0 | 0 | 0 | 0.090909 | 0.203125 | 0 | 0 | 0 | 0 | 0 | 0.272727 | 1 | 0.181818 | false | 0 | 0.363636 | 0 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
484967ac74f6d123dbdebf8bdbdd8cab5455056e | 621 | py | Python | smarty/tests/test_utils.py | openforcefield/smarty | 882d54b6d6d0fada748c71789964b07be2210a6a | [
"MIT"
] | 10 | 2018-03-29T15:31:50.000Z | 2022-02-17T14:04:37.000Z | smarty/tests/test_utils.py | openforcefield/smarty | 882d54b6d6d0fada748c71789964b07be2210a6a | [
"MIT"
] | 14 | 2017-11-22T21:27:25.000Z | 2019-01-24T04:50:42.000Z | smarty/tests/test_utils.py | openforcefield/smarty | 882d54b6d6d0fada748c71789964b07be2210a6a | [
"MIT"
] | 2 | 2019-03-05T22:52:26.000Z | 2022-02-17T14:05:06.000Z | from functools import partial
from smarty.utils import get_data_filename
from unittest import TestCase
import smarty
class TestUtils(TestCase):
def test_parse_odds_file(self):
"""
Testing parse_odds_file and get_data_filename
"""
# parse_odds_file uses get_data_filename so this run checks both
odds = smarty.utils.parse_odds_file('odds_files/atom_index_odds.smarts', verbose = True)
odds = smarty.utils.parse_odds_file('odds_files/bond_OR_bases.smarts')
self.assertIsNone(odds[1], msg = "Parsing odds file with no odds should give None as the second entry")
| 38.8125 | 111 | 0.73752 | 90 | 621 | 4.833333 | 0.544444 | 0.110345 | 0.149425 | 0.091954 | 0.170115 | 0.170115 | 0.170115 | 0.170115 | 0 | 0 | 0 | 0.001996 | 0.193237 | 621 | 15 | 112 | 41.4 | 0.866267 | 0.175523 | 0 | 0 | 0 | 0 | 0.268443 | 0.131148 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.444444 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
484d8e9d7e1642b008767732581d28832ef16be5 | 429 | py | Python | src/GPDS/social/models.py | vsantacoloma/usb-project-management-tool | 8bd9fd08a6d1ba316a231cbb00252a115aed67f9 | [
"MIT"
] | null | null | null | src/GPDS/social/models.py | vsantacoloma/usb-project-management-tool | 8bd9fd08a6d1ba316a231cbb00252a115aed67f9 | [
"MIT"
] | null | null | null | src/GPDS/social/models.py | vsantacoloma/usb-project-management-tool | 8bd9fd08a6d1ba316a231cbb00252a115aed67f9 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.db import models
from django.contrib.auth.models import User
from project.models import Project
from users.models import *
# Create your models here.
class Request(models.Model):
to_user = models.ForeignKey(User, related_name='to_user')
from_user = models.ForeignKey(User, related_name='from_user')
project = models.ForeignKey(Project)
admin.site.register(Request)
| 28.6 | 65 | 0.776224 | 60 | 429 | 5.45 | 0.383333 | 0.091743 | 0.103976 | 0.146789 | 0.214067 | 0.214067 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135198 | 429 | 14 | 66 | 30.642857 | 0.881402 | 0.055944 | 0 | 0 | 0 | 0 | 0.039702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
485a4ef6fd5ffefdea89f56ca06bb90b3bb0f3ed | 225 | py | Python | ObenedorDeEntrada.py | JEFMX/Codigo-Morse | a515d0c445eb296e3ef82cd7ccc6fc20f0501899 | [
"CC0-1.0"
] | 1 | 2021-03-18T18:15:20.000Z | 2021-03-18T18:15:20.000Z | ObenedorDeEntrada.py | JEFMX/Codigo-Morse | a515d0c445eb296e3ef82cd7ccc6fc20f0501899 | [
"CC0-1.0"
] | null | null | null | ObenedorDeEntrada.py | JEFMX/Codigo-Morse | a515d0c445eb296e3ef82cd7ccc6fc20f0501899 | [
"CC0-1.0"
] | null | null | null | class ObtenedorDeEntrada:
def getEntrada(self):
f = open ('Entrada.txt','r')
entrada = f.read()
print(entrada)
f.close()
return entrada
#input("Introduce el texto\n") | 28.125 | 38 | 0.537778 | 24 | 225 | 5.041667 | 0.791667 | 0.132231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.337778 | 225 | 8 | 38 | 28.125 | 0.812081 | 0.128889 | 0 | 0 | 0 | 0 | 0.063492 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.428571 | 0.142857 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
485b0affc26f41f7ac4a68970ecd1af7ac1b596e | 9,931 | py | Python | statsmodels/tsa/vector_ar/tests/test_coint.py | aliavni/statsmodels | ef5d57a8d45de76a895e9401705280d558d688ad | [
"BSD-3-Clause"
] | 1 | 2022-01-24T15:17:37.000Z | 2022-01-24T15:17:37.000Z | statsmodels/tsa/vector_ar/tests/test_coint.py | aliavni/statsmodels | ef5d57a8d45de76a895e9401705280d558d688ad | [
"BSD-3-Clause"
] | null | null | null | statsmodels/tsa/vector_ar/tests/test_coint.py | aliavni/statsmodels | ef5d57a8d45de76a895e9401705280d558d688ad | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test Johansen's Cointegration test against jplv, Spatial Econometrics Toolbox
Created on Thu Aug 30 21:51:08 2012
Author: Josef Perktold
"""
import os
import warnings
import numpy as np
from numpy.testing import assert_almost_equal, assert_equal
import pandas as pd
import pytest
from statsmodels.tools.sm_exceptions import HypothesisTestWarning
from statsmodels.tsa.vector_ar.vecm import coint_johansen
current_path = os.path.dirname(os.path.abspath(__file__))
dta_path = os.path.join(current_path, "Matlab_results", "test_coint.csv")
with open(dta_path, "rb") as fd:
dta = np.genfromtxt(fd)
class CheckCointJoh:
def test_basic(self):
assert_equal(self.res.ind, np.arange(len(self.res.ind), dtype=int))
assert_equal(self.res.r0t.shape, (self.nobs_r, 8))
def test_table_trace(self):
table1 = np.column_stack((self.res.lr1, self.res.cvt))
assert_almost_equal(table1,
self.res1_m.reshape(table1.shape, order='F'))
def test_table_maxeval(self):
table2 = np.column_stack((self.res.lr2, self.res.cvm))
assert_almost_equal(table2,
self.res2_m.reshape(table2.shape, order='F'))
def test_normalization(self):
# GH 5517
evec = self.res.evec
non_zero = evec.flat != 0
assert evec.flat[non_zero][0] > 0
class TestCointJoh12(CheckCointJoh):
@classmethod
def setup_class(cls):
cls.res = coint_johansen(dta, 1, 2)
cls.nobs_r = 173 - 1 - 2
cls.res1_m = np.array([241.985452556075, 166.4781461662553, 110.3298006342814, 70.79801574443575, 44.90887371527634, 27.22385073668511, 11.74205493173769, 3.295435325623445, 169.0618, 133.7852, 102.4674, 75.1027, 51.6492, 32.0645, 16.1619, 2.7055, 175.1584, 139.278, 107.3429, 79.34220000000001, 55.2459, 35.0116, 18.3985, 3.8415, 187.1891, 150.0778, 116.9829, 87.7748, 62.5202, 41.0815, 23.1485, 6.6349])
cls.res2_m = np.array([75.50730638981975, 56.14834553197396, 39.5317848898456, 25.8891420291594, 17.68502297859124, 15.48179580494741, 8.446619606114249, 3.295435325623445, 52.5858, 46.5583, 40.5244, 34.4202, 28.2398, 21.8731, 15.0006, 2.7055, 55.7302, 49.5875, 43.4183, 37.1646, 30.8151, 24.2522, 17.1481, 3.8415, 62.1741, 55.8171, 49.4095, 42.8612, 36.193, 29.2631, 21.7465, 6.6349,])
evec = np.array([
0.01102517075074406, -0.2185481584930077, 0.04565819524210763, -0.06556394587400775,
0.04711496306104131, -0.1500111976629196, 0.03775327003706507, 0.03479475877437702,
0.007517888890275335, -0.2014629352546497, 0.01526001455616041, 0.0707900418057458,
-0.002388919695513273, 0.04486516694838273, -0.02936314422571188, 0.009900554050392113,
0.02846074144367176, 0.02021385478834498, -0.04276914888645468, 0.1738024290422287,
0.07821155002012749, -0.1066523077111768, -0.3011042488399306, 0.04965189679477353,
0.07141291326159237, -0.01406702689857725, -0.07842109866080313, -0.04773566072362181,
-0.04768640728128824, -0.04428737926285261, 0.4143225656833862, 0.04512787132114879,
-0.06817130121837202, 0.2246249779872569, -0.009356548567565763, 0.006685350535849125,
-0.02040894506833539, 0.008131690308487425, -0.2503209797396666, 0.01560186979508953,
0.03327070126502506, -0.263036624535624, -0.04669882107497259, 0.0146457545413255,
0.01408691619062709, 0.1004753600191269, -0.02239205763487946, -0.02169291468272568,
0.08782313160608619, -0.07696508791577318, 0.008925177304198475, -0.06230900392092828,
-0.01548907461158638, 0.04574831652028973, -0.2972228156126774, 0.003469819004961912,
-0.001868995544352928, 0.05993345996347871, 0.01213394328069316, 0.02096614212178651,
-0.08624395993789938, 0.02108183181049973, -0.08470307289295617, -5.135072530480897e-005])
cls.evec_m = evec.reshape(cls.res.evec.shape, order='F')
cls.eig_m = np.array([0.3586376068088151, 0.2812806889719111, 0.2074818815675726, 0.141259991767926, 0.09880133062878599, 0.08704563854307619, 0.048471840356709, 0.01919823444066367])
def test_evec(self):
for col in range(self.evec_m.shape[1]):
try:
assert_almost_equal(self.res.evec[:, col],
self.evec_m[:, col])
except AssertionError:
assert_almost_equal(self.res.evec[:, col],
-self.evec_m[:, col])
def test_evals(self):
assert_almost_equal(self.res.eig, self.eig_m)
class TestCointJoh09(CheckCointJoh):
@classmethod
def setup_class(cls):
cls.res = coint_johansen(dta, 0, 9)
cls.nobs_r = 173 - 1 - 9
#fprintf(1, '%18.16g, ', r1)
cls.res1_m = np.array([307.6888935095814, 205.3839229398245, 129.1330243009336, 83.3101865760208, 52.51955460357912, 30.20027050520502, 13.84158157562689, 0.4117390188204866, 153.6341, 120.3673, 91.109, 65.8202, 44.4929, 27.0669, 13.4294, 2.7055, 159.529, 125.6185, 95.7542, 69.8189, 47.8545, 29.7961, 15.4943, 3.8415, 171.0905, 135.9825, 104.9637, 77.8202, 54.6815, 35.4628, 19.9349, 6.6349])
#r2 = [res.lr2 res.cvm]
cls.res2_m = np.array([102.3049705697569, 76.25089863889085, 45.82283772491284, 30.7906319724417, 22.31928409837409, 16.35868892957814, 13.4298425568064, 0.4117390188204866, 49.2855, 43.2947, 37.2786, 31.2379, 25.1236, 18.8928, 12.2971, 2.7055, 52.3622, 46.2299, 40.0763, 33.8777, 27.5858, 21.1314, 14.2639, 3.8415, 58.6634, 52.3069, 45.8662, 39.3693, 32.7172, 25.865, 18.52, 6.6349])
class TestCointJohMin18(CheckCointJoh):
@classmethod
def setup_class(cls):
cls.res = coint_johansen(dta, -1, 8)
cls.nobs_r = 173 - 1 - 8
cls.res1_m = np.array([260.6786029744658, 162.7966072512681, 105.8253545950566, 71.16133060790817, 47.68490211260372, 28.11843682526138, 13.03968537077271, 2.25398078597622, 137.9954, 106.7351, 79.5329, 56.2839, 37.0339, 21.7781, 10.4741, 2.9762, 143.6691, 111.7797, 83.9383, 60.0627, 40.1749, 24.2761, 12.3212, 4.1296, 154.7977, 121.7375, 92.7136, 67.63670000000001, 46.5716, 29.5147, 16.364, 6.9406])
cls.res2_m = np.array([97.88199572319769, 56.97125265621156, 34.66402398714837, 23.47642849530445, 19.56646528734234, 15.07875145448866, 10.7857045847965, 2.25398078597622, 45.893, 39.9085, 33.9271, 27.916, 21.837, 15.7175, 9.4748, 2.9762, 48.8795, 42.7679, 36.6301, 30.4428, 24.1592, 17.7961, 11.2246, 4.1296, 55.0335, 48.6606, 42.2333, 35.7359, 29.0609, 22.2519, 15.0923, 6.9406])
class TestCointJoh25(CheckCointJoh):
@classmethod
def setup_class(cls):
with warnings.catch_warnings():
warnings.simplefilter("ignore", category=HypothesisTestWarning)
cls.res = coint_johansen(dta, 2, 5)
cls.nobs_r = 173 - 1 - 5
# Note: critical values not available if trend>1
cls.res1_m = np.array([270.1887263915158, 171.6870096307863,
107.8613367358704, 70.82424032233558,
44.62551818267534, 25.74352073857572,
14.17882426926978, 4.288656185006764,
0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0])
cls.res1_m[cls.res1_m == 0] = np.nan
cls.res2_m = np.array([98.50171676072955, 63.82567289491584,
37.03709641353485, 26.19872213966024,
18.88199744409963, 11.56469646930594,
9.890168084263012, 4.288656185006764,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0])
cls.res2_m[cls.res2_m == 0] = np.nan
@pytest.mark.smoke
def test_coint_johansen_0lag(reset_randomstate):
# GH 5731
x_diff = np.random.normal(0, 1, 1000)
x = pd.Series(np.cumsum(x_diff))
e1 = np.random.normal(0, 1, 1000)
y = x + 5 + e1
data = pd.concat([x, y], axis=1)
result = coint_johansen(data, det_order=-1, k_ar_diff=0)
assert result.eig.shape == (2,)
| 62.06875 | 671 | 0.544457 | 1,110 | 9,931 | 4.795496 | 0.466667 | 0.017659 | 0.024798 | 0.031561 | 0.137141 | 0.08266 | 0.067631 | 0.067631 | 0.067631 | 0.067631 | 0 | 0.514554 | 0.346189 | 9,931 | 159 | 672 | 62.45912 | 0.305252 | 0.027389 | 0 | 0.127273 | 0 | 0 | 0.004043 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.1 | false | 0 | 0.072727 | 0 | 0.218182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
48626a37e47d8fac074c567af61f259bd05f0255 | 1,020 | py | Python | var/spack/repos/builtin/packages/py-pyparsing/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2018-11-27T03:39:44.000Z | 2021-09-06T15:50:35.000Z | var/spack/repos/builtin/packages/py-pyparsing/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2019-01-11T20:11:52.000Z | 2019-01-11T20:11:52.000Z | var/spack/repos/builtin/packages/py-pyparsing/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-10-14T14:20:17.000Z | 2020-10-14T14:20:17.000Z | # Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyPyparsing(PythonPackage):
"""A Python Parsing Module."""
homepage = "http://pyparsing.wikispaces.com/"
url = "https://pypi.io/packages/source/p/pyparsing/pyparsing-2.2.0.tar.gz"
import_modules = ['pyparsing']
version('2.2.0', '0214e42d63af850256962b6744c948d9')
version('2.1.10', '065908b92904e0d3634eb156f44cc80e')
version('2.0.3', '0fe479be09fc2cf005f753d3acc35939')
patch('setuptools-import.patch', when='@:2.1.10')
# Newer versions of setuptools require pyparsing. Although setuptools is an
# optional dependency of pyparsing, if it is not found, setup.py will
# fallback on distutils.core instead. Don't add a setuptools dependency
# or we won't be able to bootstrap setuptools.
# depends_on('py-setuptools', type='build')
| 36.428571 | 83 | 0.717647 | 132 | 1,020 | 5.530303 | 0.719697 | 0.010959 | 0.008219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11007 | 0.162745 | 1,020 | 27 | 84 | 37.777778 | 0.744731 | 0.502941 | 0 | 0 | 0 | 0.111111 | 0.507099 | 0.241379 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
4866230e43e001b0a70e2b191ecdc9e8e448fae5 | 480 | py | Python | PA2/test/gennull.py | SebastianJay/LDI-Cool | 85744fa493bd6a11463aababe7b484a57c6c47b7 | [
"Apache-2.0"
] | null | null | null | PA2/test/gennull.py | SebastianJay/LDI-Cool | 85744fa493bd6a11463aababe7b484a57c6c47b7 | [
"Apache-2.0"
] | null | null | null | PA2/test/gennull.py | SebastianJay/LDI-Cool | 85744fa493bd6a11463aababe7b484a57c6c47b7 | [
"Apache-2.0"
] | null | null | null | #print 'hello \0'
import sys
# print out strings/comments/freestanding indentifers containing each element of ascii table
# if guard prevents some chars from being printed
sys.stdout.write('(*')
for i in range(128):
#if i == 0 or i == 10 or i == 13 or i == 26 or i == 34 or i == 92:
# sys.stdout.write('\n')
# continue
#sys.stdout.write('"')
sys.stdout.write(str(unichr(i)))
#sys.stdout.write('"')
sys.stdout.write('\n')
sys.stdout.write('*)')
| 30 | 92 | 0.625 | 75 | 480 | 4 | 0.546667 | 0.21 | 0.326667 | 0.1 | 0.186667 | 0.186667 | 0 | 0 | 0 | 0 | 0 | 0.03937 | 0.20625 | 480 | 15 | 93 | 32 | 0.748032 | 0.627083 | 0 | 0 | 0 | 0 | 0.035088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
48724ceb9e39205fcac9d531e2a397d59d32279e | 1,588 | py | Python | tests/mock_tieserver.py | hbazan/opendxl-tie-client-python | e874c268ea9d10307edd8f177fc39b2ac45a7d44 | [
"Apache-2.0"
] | null | null | null | tests/mock_tieserver.py | hbazan/opendxl-tie-client-python | e874c268ea9d10307edd8f177fc39b2ac45a7d44 | [
"Apache-2.0"
] | null | null | null | tests/mock_tieserver.py | hbazan/opendxl-tie-client-python | e874c268ea9d10307edd8f177fc39b2ac45a7d44 | [
"Apache-2.0"
] | null | null | null | from dxlclient.service import ServiceRegistrationInfo
from tests.mock_requesthandlers import *
class MockTieServer(object):
def __init__(self, client):
self._client = client
# Create DXL Service Registration object
self._service_registration_info = ServiceRegistrationInfo(
self._client,
"/opendxl/mocktieserver"
)
def __enter__(self):
mock_callback = FakeTieServerCallback(self._client)
self._service_registration_info.add_topic(
dxltieclient.client.TIE_GET_FILE_REPUTATION_TOPIC,
mock_callback
)
self._service_registration_info.add_topic(
dxltieclient.client.TIE_GET_CERT_REPUTATION_TOPIC,
mock_callback
)
self._service_registration_info.add_topic(
dxltieclient.client.TIE_SET_FILE_REPUTATION_TOPIC,
mock_callback
)
self._service_registration_info.add_topic(
dxltieclient.client.TIE_SET_CERT_REPUTATION_TOPIC,
mock_callback
)
self._service_registration_info.add_topic(
dxltieclient.client.TIE_GET_FILE_FIRST_REFS,
mock_callback
)
self._service_registration_info.add_topic(
dxltieclient.client.TIE_GET_CERT_FIRST_REFS,
mock_callback
)
self._client.register_service_sync(self._service_registration_info, 10)
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self._client.unregister_service_sync(self._service_registration_info, 10)
| 33.083333 | 81 | 0.68199 | 163 | 1,588 | 6.09816 | 0.269939 | 0.191147 | 0.20825 | 0.244467 | 0.615694 | 0.581489 | 0.581489 | 0.501006 | 0.501006 | 0.501006 | 0 | 0.00341 | 0.261335 | 1,588 | 47 | 82 | 33.787234 | 0.84399 | 0.023929 | 0 | 0.307692 | 0 | 0 | 0.014212 | 0.014212 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.051282 | 0 | 0.179487 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
4875535ce479dc8b23521eed1398144d97add066 | 1,627 | py | Python | testApi.py | 1kko/mwsapi | fe0874f4be6013a39f0399677c6736a79ea7d602 | [
"MIT"
] | null | null | null | testApi.py | 1kko/mwsapi | fe0874f4be6013a39f0399677c6736a79ea7d602 | [
"MIT"
] | null | null | null | testApi.py | 1kko/mwsapi | fe0874f4be6013a39f0399677c6736a79ea7d602 | [
"MIT"
] | 1 | 2022-02-19T00:39:38.000Z | 2022-02-19T00:39:38.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# coding=utf-8
from mwsapi import v3
key="YOUR API KEY"
mws=v3(key, "public")
print ("# StartTesting File API")
print ("# Testing file.download")
with open("4020ce0de0cc206f9bc241e5634a02da", "wb") as fd:
fd.write(mws.file.download("4020ce0de0cc206f9bc241e5634a02da"))
print ("Passed")
print ("# Testing file.upload")
assert mws.file.upload("4020ce0de0cc206f9bc241e5634a02da")
print ("Passed")
print ("# Testing file.mwsinfo")
assert mws.file.mwsinfo("4020ce0de0cc206f9bc241e5634a02da")
print ("Passed")
print ("# Testing file.behaviorinfo")
assert mws.file.behaviorinfo("4020ce0de0cc206f9bc241e5634a02da")
print ("Passed")
print ("# Testing file.staticinfo")
assert mws.file.staticinfo("4020ce0de0cc206f9bc241e5634a02da")
print ("Passed")
print ("# Testing file.addinfo")
assert mws.file.addinfo("4020ce0de0cc206f9bc241e5634a02da")
print ("Passed")
print ("# StartTesting URL API")
print ("# Testing url.request")
assert mws.url.request("https://www.malwares.com")
print ("Passed")
print ("# Testing url.info")
assert mws.url.info("https://www.malwares.com")
print ("Passed")
print ("# StartTesting IP API")
print ("# Testing ip.info")
assert mws.ip.info("8.8.8.8")
print ("Passed")
print ("# StartTesting Hostname API")
print ("# Testing hostname.info")
assert mws.hostname.info("www.malwares.com")
print ("Passed")
print ("# StartTesting Tag API")
print ("# Testing tag.search")
assert mws.tag.search("ransomware")
print ("Passed")
print ("# Testing tag.search, with start time")
assert mws.tag.search("ransomware", start="2018-06-05 00:00:00")
print ("Passed")
| 25.421875 | 64 | 0.728334 | 202 | 1,627 | 5.866337 | 0.262376 | 0.121519 | 0.148523 | 0.135865 | 0.400844 | 0.353587 | 0.104641 | 0 | 0 | 0 | 0 | 0.105947 | 0.100799 | 1,627 | 63 | 65 | 25.825397 | 0.704033 | 0.033805 | 0 | 0.266667 | 0 | 0 | 0.521046 | 0.142857 | 0 | 0 | 0 | 0 | 0.244444 | 1 | 0 | false | 0.266667 | 0.022222 | 0 | 0.022222 | 0.644444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 |
4884239e4ff5d2020e56a6e2c1dfd91c48f3c812 | 1,400 | py | Python | src/openprocurement/tender/pricequotation/procedure/models/req_response.py | ProzorroUKR/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 10 | 2020-02-18T01:56:21.000Z | 2022-03-28T00:32:57.000Z | src/openprocurement/tender/pricequotation/procedure/models/req_response.py | quintagroup/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 26 | 2018-07-16T09:30:44.000Z | 2021-02-02T17:51:30.000Z | src/openprocurement/tender/pricequotation/procedure/models/req_response.py | ProzorroUKR/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 15 | 2019-08-08T10:50:47.000Z | 2022-02-05T14:13:36.000Z | # -*- coding: utf-8 -*-
from uuid import uuid4
from schematics.exceptions import ValidationError
from schematics.types.compound import ModelType
from schematics.types.serializable import serializable
from schematics.types import MD5Type, IntType
from openprocurement.api.models import (
Model,
Period,
IsoDateTimeType,
ListType,
Reference,
)
from schematics.types import StringType
from openprocurement.api.constants import (
RELEASE_ECRITERIA_ARTICLE_17,
CRITERION_REQUIREMENT_STATUSES_FROM,
)
from openprocurement.tender.core.procedure.validation import (
validate_value_type,
)
from openprocurement.tender.core.procedure.context import get_tender, get_bid, get_json_data, get_now
from openprocurement.tender.core.procedure.utils import get_first_revision_date
from openprocurement.tender.core.procedure.models.base import (
BaseBid,
validate_object_id_uniq,
)
from openprocurement.tender.core.models import (
BaseAward, QualificationMilestoneListMixin,
validate_response_requirement_uniq,
)
from logging import getLogger
LOGGER = getLogger(__name__)
class RequirementReference(Model):
id = StringType(required=True)
title = StringType()
class RequirementResponse(Model):
id = MD5Type(required=True, default=lambda: uuid4().hex)
requirement = ModelType(RequirementReference, required=True)
value = StringType(required=True)
| 29.787234 | 101 | 0.797143 | 156 | 1,400 | 6.987179 | 0.455128 | 0.122018 | 0.114679 | 0.133028 | 0.13945 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005747 | 0.13 | 1,400 | 46 | 102 | 30.434783 | 0.889163 | 0.015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.358974 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
4887a70ba4b7a8e4dd2cd338266934a7aab95e7f | 2,202 | py | Python | Python/Utopia/gis_demo.py | Zentopia/Learning | 7183b80357413f57953389cd41534bc341793c47 | [
"MIT"
] | null | null | null | Python/Utopia/gis_demo.py | Zentopia/Learning | 7183b80357413f57953389cd41534bc341793c47 | [
"MIT"
] | null | null | null | Python/Utopia/gis_demo.py | Zentopia/Learning | 7183b80357413f57953389cd41534bc341793c47 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import matplotlib.ticker as tik
import numpy as np
import math
EARTH_RADIUS = 6378137.0
def _get_pad(d):
return d*math.pi/180.0
def _cal_to_coordinate(lat1,lng1,lat2,lng2):
"""
北斗坐标计算距离
"""
radLat1 = _get_pad(lat1)
radLat2 = _get_pad(lat2)
a = radLat1 - radLat2
b = _get_pad(lng1) - _get_pad(lng2)
s = 2*math.asin(math.sqrt(math.pow(math.sin(a/2),2) + math.cos(radLat1)*math.cos(radLat2)*math.pow(math.sin(b/2),2)))
s = s*EARTH_RADIUS
s = round(s*10000)/10000.0
return s
def _cal_to_coordinate_flat(lat1,lng1,lat2,lng2):
"""
北斗坐标计算距离(椭圆)
"""
f = _get_pad((lat1 + lat2)/2)
g = _get_pad((lat1 - lat2)/2)
l = _get_pad((lng1 - lng2)/2)
sg = math.sin(g)
sl = math.sin(l)
sf = math.sin(f)
a = EARTH_RADIUS
fl = 1/298.257;
sg = sg*sg
sl = sl*sl
sf = sf*sf
s = sg*(1-sl) + (1-sf)*sl
c = (1-sg)*(1-sl) + sf*sl
w = math.atan(math.sqrt(s/c))
r = math.sqrt(s*c)/w
d = 2*w*a
h1 = (3*r -1)/2/c
h2 = (3*r +1)/2/s
return round(d*(1 + fl*(h1*sf*(1-sg) - h2*(1-sf)*sg)), 5)
if __name__ == '__main__':
# lat1 = 40.07834518833333 #百度坐标：40.08551585036245
# lng1 = 116.35229350833333 #百度坐标：116.3650760781415
# lat2 = 40.078343548333336 #百度坐标：40.08551432847522
# lng2 = 116.35230061166666 #百度坐标：116.3650830928695
"""
采用百度接口进行测距：0.62253m
"""
#print(_cal_to_coordinate(lat1,lng1,lat2,lng2))
#print(_cal_to_coordinate_flat(lat1,lng1,lat2,lng2)) #0.63266
"""
采用百度接口进行测距：28.66m
"""
# lat3 = 40.06148084833333 #百度坐标：40.068496292867
# lng3 = 116.34078560166667 #百度坐标：116.35357120258114
# lat4 = 40.06173812833333 #百度坐标：40.06875366929153
# lng4 = 116.34076853166667 #百度坐标：116.35355431178137
#print(_cal_to_coordinate_flat(lat3,lng3,lat4,lng4)) #28.60446
lat3 = 40.049255738333336
lng3 = 116.34384970166667
lat4 = 40.049269198333334
lng4 = 116.343844065
print(_cal_to_coordinate_flat(lat3,lng3,lat4,lng4))
| 20.773585 | 121 | 0.594914 | 324 | 2,202 | 3.891975 | 0.32716 | 0.038065 | 0.071372 | 0.050753 | 0.208565 | 0.168121 | 0.168121 | 0.118953 | 0.063442 | 0 | 0 | 0.277981 | 0.253406 | 2,202 | 105 | 122 | 20.971429 | 0.489051 | 0.287012 | 0 | 0 | 0 | 0 | 0.005521 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.095238 | 0.02381 | 0.238095 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6f7fac46e38370ae59494133724300c42523f4ec | 307 | py | Python | py_tdlib/constructors/payment_receipt.py | Mr-TelegramBot/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 24 | 2018-10-05T13:04:30.000Z | 2020-05-12T08:45:34.000Z | py_tdlib/constructors/payment_receipt.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 3 | 2019-06-26T07:20:20.000Z | 2021-05-24T13:06:56.000Z | py_tdlib/constructors/payment_receipt.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 5 | 2018-10-05T14:29:28.000Z | 2020-08-11T15:04:10.000Z | from ..factory import Type
class paymentReceipt(Type):
date = None # type: "int32"
payments_provider_user_id = None # type: "int32"
invoice = None # type: "invoice"
order_info = None # type: "orderInfo"
shipping_option = None # type: "shippingOption"
credentials_title = None # type: "string"
| 27.909091 | 50 | 0.703583 | 37 | 307 | 5.675676 | 0.621622 | 0.228571 | 0.12381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015936 | 0.18241 | 307 | 10 | 51 | 30.7 | 0.820717 | 0.322476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6f8045298fd31f13280fdf8c59145acd3041d171 | 258 | py | Python | preprocess/setting.py | sichun/lagou_personal_assistant | 4a6c8971fe28cd06521675ae5bc84c3996cd03c5 | [
"MIT"
] | null | null | null | preprocess/setting.py | sichun/lagou_personal_assistant | 4a6c8971fe28cd06521675ae5bc84c3996cd03c5 | [
"MIT"
] | null | null | null | preprocess/setting.py | sichun/lagou_personal_assistant | 4a6c8971fe28cd06521675ae5bc84c3996cd03c5 | [
"MIT"
] | null | null | null | types = {"workYear_types": ['应届毕业生', '1-3年', '3-5年', '5-10年', '10年以上', '不限'],
"companySize_types": ['15-50人', '50-150人', '150-500人', '500-2000人', '2000人以上'],
"financeStage_types": ['未融资', '天使轮', 'A轮', 'B轮', 'C轮', 'D轮及以上', '上市公司', '不需要融资']}
| 64.5 | 90 | 0.523256 | 33 | 258 | 4 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162037 | 0.162791 | 258 | 3 | 91 | 86 | 0.449074 | 0 | 0 | 0 | 0 | 0 | 0.531008 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6f80c5004b2404f61d68654350746ad0e56c52ec | 661 | py | Python | webvulnscan/attacks/cookiescan.py | hhucn/webvulnscan | efb812fd5483157528f37794acecafa35ed0d878 | [
"MIT"
] | 40 | 2015-01-15T14:52:51.000Z | 2022-03-25T08:52:48.000Z | webvulnscan/attacks/cookiescan.py | RaviRaaja/webvulnscan | efb812fd5483157528f37794acecafa35ed0d878 | [
"MIT"
] | 1 | 2016-07-21T09:51:15.000Z | 2016-10-02T17:45:37.000Z | webvulnscan/attacks/cookiescan.py | RaviRaaja/webvulnscan | efb812fd5483157528f37794acecafa35ed0d878 | [
"MIT"
] | 22 | 2015-01-23T04:21:21.000Z | 2021-08-22T03:36:21.000Z | from ..utils import attack
def check_for_cookies(headers):
return "Set-Cookie" in headers or "Set-Cookies" in headers
def secure_cache_control(page):
if "Cache-Control" in page.headers:
cache_control = page.headers["Cache-Control"]
if cache_control in "no-cache" or cache_control in "private":
return True
if "max-age" in cache_control and "0" in cache_control:
return True
return False
@attack()
def cookiescan(client, log, page):
if not check_for_cookies(page.headers):
return
if not secure_cache_control(page):
log('vuln', page.url, u"Implicit Cacheable Cookies")
| 23.607143 | 69 | 0.670197 | 92 | 661 | 4.673913 | 0.391304 | 0.251163 | 0.111628 | 0.102326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00198 | 0.236006 | 661 | 27 | 70 | 24.481481 | 0.849505 | 0 | 0 | 0.117647 | 0 | 0 | 0.151286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.058824 | 0.058824 | 0.529412 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6f82399f02a2f30a221f224f6c6d07b9582ef244 | 76 | py | Python | modules/boost/simd/swar/py_data.py | pbrunet/nt2 | 2aeca0f6a315725b335efd5d9dc95d72e10a7fb7 | [
"BSL-1.0"
] | 2 | 2016-09-14T00:23:53.000Z | 2018-01-14T12:51:18.000Z | modules/boost/simd/swar/py_data.py | pbrunet/nt2 | 2aeca0f6a315725b335efd5d9dc95d72e10a7fb7 | [
"BSL-1.0"
] | null | null | null | modules/boost/simd/swar/py_data.py | pbrunet/nt2 | 2aeca0f6a315725b335efd5d9dc95d72e10a7fb7 | [
"BSL-1.0"
] | null | null | null | datas = {
'style' : 'sys',
'parent' :'boost',
'prefix' :['boost','simd'],
}
| 12.666667 | 27 | 0.513158 | 8 | 76 | 4.875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.144737 | 76 | 5 | 28 | 15.2 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0.447368 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6f84e6a1558103129c95bc8840b93204231d8d98 | 481 | py | Python | tests/extra/lookup_table_test.py | cornell-brg/lizard | 7f9a78a913e64b5cfdee3a26223539ad225bd6da | [
"BSD-3-Clause"
] | 50 | 2019-05-22T08:43:15.000Z | 2022-03-21T23:58:50.000Z | tests/extra/lookup_table_test.py | cornell-brg/lizard | 7f9a78a913e64b5cfdee3a26223539ad225bd6da | [
"BSD-3-Clause"
] | 1 | 2019-07-27T18:51:52.000Z | 2019-08-02T01:20:22.000Z | tests/extra/lookup_table_test.py | cornell-brg/lizard | 7f9a78a913e64b5cfdee3a26223539ad225bd6da | [
"BSD-3-Clause"
] | 11 | 2019-12-26T06:00:48.000Z | 2022-03-27T02:29:35.000Z | import pytest
from pymtl import *
from tests.context import lizard
from lizard.model.test_model import run_test_state_machine
from lizard.util.rtl.lookup_table import LookupTable, LookupTableInterface
from lizard.util.fl.lookup_table import LookupTableFL
def test_state_machine():
run_test_state_machine(
LookupTable,
LookupTableFL, (LookupTableInterface(Bits(4), Bits(4)), {
0b1111: 0b1010,
0b0101: 0b0000
}),
translate_model=True)
| 28.294118 | 74 | 0.75052 | 59 | 481 | 5.915254 | 0.491525 | 0.08596 | 0.137536 | 0.108883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 0.176715 | 481 | 16 | 75 | 30.0625 | 0.825758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | true | 0 | 0.428571 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
6f926695a8c59fa6008062fd42dd8413a03ab12b | 3,242 | py | Python | utils/visualisation.py | hhj1897/fan_training | 5882f9edf2f1a07c80a6d1f3341a7cf1d348e217 | [
"MIT"
] | 1 | 2021-12-11T21:31:57.000Z | 2021-12-11T21:31:57.000Z | utils/visualisation.py | hhj1897/fan_training | 5882f9edf2f1a07c80a6d1f3341a7cf1d348e217 | [
"MIT"
] | null | null | null | utils/visualisation.py | hhj1897/fan_training | 5882f9edf2f1a07c80a6d1f3341a7cf1d348e217 | [
"MIT"
] | 1 | 2021-12-11T21:31:49.000Z | 2021-12-11T21:31:49.000Z | import cv2
import numpy as np
__all__ = ['get_landmark_connectivity', 'plot_landmarks']
def get_landmark_connectivity(num_landmarks):
if num_landmarks == 68:
return ((0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (7, 8), (8, 9), (9, 10), (10, 11), (11, 12),
(12, 13), (13, 14), (14, 15), (15, 16), (17, 18), (18, 19), (19, 20), (20, 21), (22, 23), (23, 24),
(24, 25), (25, 26), (27, 28), (28, 29), (29, 30), (30, 33), (31, 32), (32, 33), (33, 34), (34, 35),
(36, 37), (37, 38), (38, 39), (40, 41), (41, 36), (42, 43), (43, 44), (44, 45), (45, 46), (46, 47),
(47, 42), (48, 49), (49, 50), (50, 51), (51, 52), (52, 53), (53, 54), (54, 55), (55, 56), (56, 57),
(57, 58), (58, 59), (59, 48), (60, 61), (61, 62), (62, 63), (63, 64), (64, 65), (65, 66), (66, 67),
(67, 60), (39, 40))
elif num_landmarks == 100:
return ((0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (7, 8), (8, 9), (9, 10), (10, 11), (11, 12),
(12, 13), (13, 14), (14, 15), (15, 16), (17, 18), (18, 19), (19, 20), (20, 21), (22, 23), (23, 24),
(24, 25), (25, 26), (68, 69), (69, 70), (70, 71), (72, 73), (73, 74), (74, 75), (36, 76), (76, 37),
(37, 77), (77, 38), (38, 78), (78, 39), (39, 40), (40, 79), (79, 41), (41, 36), (42, 80), (80, 43),
(43, 81), (81, 44), (44, 82), (82, 45), (45, 46), (46, 83), (83, 47), (47, 42), (27, 28), (28, 29),
(29, 30), (30, 33), (31, 32), (32, 33), (33, 34), (34, 35), (84, 85), (86, 87), (48, 49), (49, 88),
(88, 50), (50, 51), (51, 52), (52, 89), (89, 53), (53, 54), (54, 55), (55, 90), (90, 56), (56, 57),
(57, 58), (58, 91), (91, 59), (59, 48), (60, 92), (92, 93), (93, 61), (61, 62), (62, 63), (63, 94),
(94, 95), (95, 64), (64, 96), (96, 97), (97, 65), (65, 66), (66, 67), (67, 98), (98, 99), (99, 60),
(17, 68), (21, 71), (22, 72), (26, 75))
else:
return None
def plot_landmarks(frame, landmarks, scores=None, threshold=0.2,
connection_colour=(0, 255, 0), landmark_colour=(0, 0, 255),
connection_thickness=1, landmark_radius=1, landmark_connectivity=None):
num_landmarks = len(landmarks)
if scores is None:
scores = np.full((num_landmarks,), threshold + 1.0, dtype=float)
if landmark_connectivity is None:
landmark_connectivity = get_landmark_connectivity(len(landmarks))
if landmark_connectivity is not None:
for (idx1, idx2) in landmark_connectivity:
if (idx1 < num_landmarks and idx2 < num_landmarks and
scores[idx1] >= threshold and scores[idx2] >= threshold):
cv2.line(frame, tuple(landmarks[idx1].astype(int).tolist()),
tuple(landmarks[idx2].astype(int).tolist()),
color=connection_colour, thickness=connection_thickness,
lineType=cv2.LINE_AA)
for landmark, score in zip(landmarks, scores):
if score >= threshold:
cv2.circle(frame, tuple(landmark.astype(int).tolist()), landmark_radius, landmark_colour, -1)
| 63.568627 | 116 | 0.470389 | 486 | 3,242 | 3.069959 | 0.306584 | 0.107239 | 0.046247 | 0.012064 | 0.234584 | 0.234584 | 0.154156 | 0.154156 | 0.154156 | 0.154156 | 0 | 0.275563 | 0.288094 | 3,242 | 50 | 117 | 64.84 | 0.370884 | 0 | 0 | 0.090909 | 0 | 0 | 0.01203 | 0.007711 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.045455 | 0 | 0.159091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6f98393f43f8f340c4c76539b2caa7506ab7ccef | 162 | py | Python | daremightythings/__init__.py | drewmee/JPL-Interview | 03d99b0eaace584a7b4f0465ab5f9819aefc3276 | [
"MIT"
] | null | null | null | daremightythings/__init__.py | drewmee/JPL-Interview | 03d99b0eaace584a7b4f0465ab5f9819aefc3276 | [
"MIT"
] | null | null | null | daremightythings/__init__.py | drewmee/JPL-Interview | 03d99b0eaace584a7b4f0465ab5f9819aefc3276 | [
"MIT"
] | null | null | null | """Top-level package for daremightythings."""
__author__ = """Drew Meyers"""
__email__ = "drewm@mit.edu"
__version__ = "0.1.0"
from . import interviews, robots
| 20.25 | 45 | 0.703704 | 20 | 162 | 5.1 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021277 | 0.12963 | 162 | 7 | 46 | 23.142857 | 0.702128 | 0.240741 | 0 | 0 | 0 | 0 | 0.247863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6f9ffdbcb6ae125dbdb89be426e36522ef2ca3b7 | 137 | py | Python | Ex10.py | ErickTeixeira777/Python-3 | 5bd886d13e8118bba556d499ecd6841e9cdb5e9f | [
"MIT"
] | null | null | null | Ex10.py | ErickTeixeira777/Python-3 | 5bd886d13e8118bba556d499ecd6841e9cdb5e9f | [
"MIT"
] | null | null | null | Ex10.py | ErickTeixeira777/Python-3 | 5bd886d13e8118bba556d499ecd6841e9cdb5e9f | [
"MIT"
] | null | null | null | real = float(input('Quanto vc tem de grana?'))
usd = real / 5.63
print('Com R$: {:.2f} você pode comprar Usd: {:.2f}' .format(real, usd)) | 45.666667 | 72 | 0.627737 | 24 | 137 | 3.583333 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043103 | 0.153285 | 137 | 3 | 72 | 45.666667 | 0.698276 | 0 | 0 | 0 | 0 | 0 | 0.485507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6fa6504bbca2ee95255161bdac322944f2055f21 | 801 | py | Python | app/dao/Cardapio_dao.py | amandapersampa/FastFrango | 23a69d80576f6cef754e9d3acacf9908a4da30cd | [
"MIT"
] | null | null | null | app/dao/Cardapio_dao.py | amandapersampa/FastFrango | 23a69d80576f6cef754e9d3acacf9908a4da30cd | [
"MIT"
] | null | null | null | app/dao/Cardapio_dao.py | amandapersampa/FastFrango | 23a69d80576f6cef754e9d3acacf9908a4da30cd | [
"MIT"
] | null | null | null | from app import db
from app.models.Compra import Compra
from sqlalchemy.orm import relationship
class Cardapio_dao(db.Model):
__tablename__ = "cardapio"
id_cardapio = db.Column(db.Integer, primary_key=True)
nome = db.Column(db.Integer)
valor = db.Column(db.Float)
def __init__(self, nome, valor):
self.nome = nome
self.valor = valor
def to_JSON(self):
p = Compra(self.id_compra, self.quantidade, self.valor, self.produto.nome)
print(p.id_compra, self.produto.nome)
return p.to_JSON()
def salvar(self):
db.session.add(self)
db.session.commit()
def listar(id):
return Compra_dao.query.get(id)
@staticmethod
def findAll():
return Compra_dao.query.all() | 25.03125 | 83 | 0.627965 | 106 | 801 | 4.584906 | 0.40566 | 0.049383 | 0.061728 | 0.069959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.265918 | 801 | 32 | 84 | 25.03125 | 0.826531 | 0 | 0 | 0 | 0 | 0 | 0.010376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.130435 | 0.086957 | 0.695652 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6fa84fd1f51cc9ca4947bcf95acf2a5fe42effc8 | 939 | py | Python | cgi-bin/writecsvtar.py | raspibo/ThermoRed | 55f93e49e3fac6cc919c64d5246d6fdf77e641ee | [
"MIT"
] | null | null | null | cgi-bin/writecsvtar.py | raspibo/ThermoRed | 55f93e49e3fac6cc919c64d5246d6fdf77e641ee | [
"MIT"
] | 1 | 2015-02-03T18:30:29.000Z | 2015-02-03T18:30:29.000Z | cgi-bin/writecsvtar.py | raspibo/ThermoRed | 55f93e49e3fac6cc919c64d5246d6fdf77e641ee | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Archivia
import shutil
import time
# Serve per la parte di gestione html in python
import cgi
import cgitb
import time
# Abilita gli errori al server web/http
cgitb.enable()
# Intestazione HTML
print("<!DOCTYPE html>")
print("""
<html>
<head>
<title>ThermoRed</title>
<meta name="GENERATOR" content="Midnight Commander (mcedit)">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<meta name="Keywords" content="termoregolatore, thermo, temperatura, python">
<meta name="Author" content="Davide">
</head>
<body>
""") # End / Start body
## Inizio pagina web
print("L'archivio avra` un nome simile a questo:", "temperature.csv."+time.strftime("%y%m%d%H%M"),"<br/>")
print("Archiviazione ...<br/>")
shutil.copyfile("temperature.csv","temperature.csv."+time.strftime("%y%m%d%H%M"))
print("<br/>Archiviazione terminata<br/>")
# End body/End html
print("""
</body>
</html>
""")
| 19.163265 | 106 | 0.687966 | 130 | 939 | 4.969231 | 0.584615 | 0.041796 | 0.055728 | 0.080495 | 0.095975 | 0.095975 | 0.095975 | 0.095975 | 0.095975 | 0 | 0 | 0.002433 | 0.124601 | 939 | 48 | 107 | 19.5625 | 0.783455 | 0.197018 | 0 | 0.230769 | 0 | 0.038462 | 0.689933 | 0.099329 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.192308 | 0 | 0.192308 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6fbfe1918e6cf92f850a3d0ac9cdb3d1e5300988 | 3,995 | py | Python | game-of-life.py | hkan/game-of-life | 855fac7ea74637b1293f693b3169616da2739f6d | [
"Unlicense"
] | null | null | null | game-of-life.py | hkan/game-of-life | 855fac7ea74637b1293f693b3169616da2739f6d | [
"Unlicense"
] | null | null | null | game-of-life.py | hkan/game-of-life | 855fac7ea74637b1293f693b3169616da2739f6d | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
grid_presets = {
"3,1:2,1": np.array([
[0, 0, 0],
[0, 1, 0],
[0, 1, 0]
]),
"9,3:7,3:5": np.array([
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
])
}
neighbor_coord_deltas = [
(-1, -1), # top left corner
(-1, 0), # top
(-1, +1), # top right corner
( 0, +1), # right
(+1, +1), # bottom right corner
(+1, 0), # bottom
(+1, -1), # bottom left corner
( 0, -1), # left
]
def paint_grid(grid):
for row in grid:
for col in row:
if col == 0:
print('-', end='')
else:
print('#', end='')
print('')
def debug_grid_data(data):
for row in data:
for col in row:
print(' ' + str(int(col)) + ' ', end='')
print('')
def neighbor_coords(row_number, col_number, row_size, col_size):
list_of_all_neighbor_coords = list((row_number + r, col_number + c) for (r, c) in neighbor_coord_deltas)
# This filtering process eliminates coordinates that fall outside of the grid such as (-1, 0), (-1, -1) etc.
list_of_coords_within_grid = filter(
lambda coords: True if coords[0] >= 0 and coords[0] < row_size and coords[1] >= 0 and coords[1] < col_size else False,
list_of_all_neighbor_coords
)
# Running it through `list()` because the variable is actually a iterable, not list.
return list(list_of_coords_within_grid)
def get_neighbors_map(grid):
(row_size, col_size) = grid.shape
neighbors_map = np.ndarray(grid.shape)
neighbors_map.fill(0)
for row_number in range(row_size):
for col_number in range(col_size):
for (neighbor_row, neighbor_col) in neighbor_coords(row_number, col_number, row_size, col_size):
if grid[neighbor_row, neighbor_col] == 1:
neighbors_map[row_number][col_number] = neighbors_map[row_number][col_number] + 1
return neighbors_map
def calculate_new_grid(neighbors_map: np.ndarray, grid: np.ndarray):
(row_size, col_size) = neighbors_map.shape
new_grid = np.ndarray(neighbors_map.shape)
new_grid.fill(0)
for row_number in range(row_size):
for col_number in range(col_size):
current_state = grid[row_number, col_number]
# For only dead cells...
if current_state == 0:
# If it has exactly 3 neighbors...
if neighbors_map[row_number, col_number] == 3:
# It becomes populated.
new_grid[row_number, col_number] = 1
continue
# Rest of the checks are for alive cells...
# If the cell has 2 or 3 neighbors, it lives for another day.
if neighbors_map[row_number, col_number] == 2 or neighbors_map[row_number, col_number] == 3:
new_grid[row_number, col_number] = 1
continue
# If the cell has no neighbors, 1 neighbor, OR more than 3 neighbors, it dies.
new_grid[row_number, col_number] = 0
return new_grid
def loop(grid):
paint_grid(grid)
input('Press enter to calculate next iteration, or kntrl+C to exit.')
neighbors_map = get_neighbors_map(grid)
grid = calculate_new_grid(neighbors_map, grid)
loop(grid)
loop(
np.array([
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
])
)
| 31.706349 | 126 | 0.531414 | 633 | 3,995 | 3.192733 | 0.183254 | 0.139535 | 0.190005 | 0.231569 | 0.445324 | 0.319149 | 0.273627 | 0.222662 | 0.189015 | 0.189015 | 0 | 0.082994 | 0.324406 | 3,995 | 125 | 127 | 31.96 | 0.665802 | 0.14368 | 0 | 0.319149 | 0 | 0 | 0.023516 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.010638 | 0 | 0.106383 | 0.053191 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6fc61a7fe44be372b912455c039482d40142d030 | 791 | py | Python | froide/wsgi.py | manonthemat/froide | 698c49935eaf2e922f3c9f6a46af0fd545ccbbbb | [
"MIT"
] | 3 | 2015-03-22T16:08:01.000Z | 2019-08-13T14:58:07.000Z | froide/wsgi.py | manonthemat/froide | 698c49935eaf2e922f3c9f6a46af0fd545ccbbbb | [
"MIT"
] | 95 | 2015-01-08T14:34:22.000Z | 2020-12-11T05:30:06.000Z | froide/wsgi.py | ashmpace/question-mtl | 5ce1289cd6db0e629aa138d2dee235d9a4c4546b | [
"MIT"
] | 2 | 2017-02-27T21:34:26.000Z | 2021-01-05T11:48:40.000Z | import os
import sys
# Calculate the path based on the location of the WSGI script.
apache_configuration = os.path.dirname(__file__)
project = os.path.dirname(apache_configuration)
workspace = os.path.join(project, '..')
sys.path.append(project)
sys.path.append(workspace)
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'froide.settings')
os.environ.setdefault('DJANGO_CONFIGURATION', 'Production')
from django.conf import settings
from configurations.wsgi import get_wsgi_application
application = get_wsgi_application()
try:
from whitenoise.django import DjangoWhiteNoise
application = DjangoWhiteNoise(application)
if settings.MEDIA_ROOT and settings.MEDIA_URL:
application.add_files(settings.MEDIA_ROOT, prefix=settings.MEDIA_URL)
except ImportError:
pass
| 29.296296 | 77 | 0.797724 | 100 | 791 | 6.13 | 0.46 | 0.084829 | 0.042414 | 0.065253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11378 | 791 | 26 | 78 | 30.423077 | 0.874465 | 0.075853 | 0 | 0 | 0 | 0 | 0.09465 | 0.030178 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.052632 | 0.315789 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
6fd3d57b6d1e6a827d099a613aecc89c5ae6f5b3 | 1,111 | py | Python | src/server/errors.py | andreylipattsev/almanac.httparchive.org | a05ae166c09eecdcd34e0c1882d3003b5bfee6b6 | [
"Apache-2.0"
] | 1 | 2022-02-17T21:14:02.000Z | 2022-02-17T21:14:02.000Z | src/server/errors.py | andreylipattsev/almanac.httparchive.org | a05ae166c09eecdcd34e0c1882d3003b5bfee6b6 | [
"Apache-2.0"
] | 107 | 2019-10-10T22:56:25.000Z | 2021-06-03T05:28:54.000Z | src/server/errors.py | andreylipattsev/almanac.httparchive.org | a05ae166c09eecdcd34e0c1882d3003b5bfee6b6 | [
"Apache-2.0"
] | 2 | 2019-10-10T11:31:25.000Z | 2020-07-19T04:20:42.000Z | from flask import abort, request
from . import app
from .helpers import render_error_template
import logging
# Catch all route for everything not matched elsewhere
@app.route('/', defaults={'path': ''})
@app.route('/<path:path>')
def catch_all(path): # pragma: no cover
abort(404, "Not Found")
@app.errorhandler(400)
def bad_request(e): # pragma: no cover
logging.exception('An error occurred during a request due to bad request error: %s', request.path)
return render_error_template(error=e, status_code=400)
@app.errorhandler(404)
def page_not_found(e):
return render_error_template(error=e, status_code=404)
@app.errorhandler(500)
def handle_internal_server_error(e): # pragma: no cover
logging.exception('An error occurred during a request due to internal server error: %s', request.path)
return render_error_template(error=e, status_code=500)
@app.errorhandler(502)
def handle_bad_gateway(e): # pragma: no cover
logging.exception('An error occurred during a request due to bad gateway: %s', request.path)
return render_error_template(error=e, status_code=502)
| 31.742857 | 106 | 0.749775 | 167 | 1,111 | 4.850299 | 0.293413 | 0.067901 | 0.117284 | 0.123457 | 0.503704 | 0.503704 | 0.503704 | 0.503704 | 0.453086 | 0.453086 | 0 | 0.028302 | 0.141314 | 1,111 | 34 | 107 | 32.676471 | 0.820755 | 0.108011 | 0 | 0 | 0 | 0 | 0.216244 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.173913 | 0.043478 | 0.565217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6fda28744b76bf7e5ba491755c2e892687a36044 | 3,644 | py | Python | pydv/pdvnavbar.py | griffin28/PyDV | 2ea2e904d95dd92722405ed7e19029a1f60fce12 | [
"BSD-3-Clause"
] | 2 | 2019-04-04T02:32:04.000Z | 2019-04-06T16:43:26.000Z | pydv/pdvnavbar.py | griffin28/PyDV | 2ea2e904d95dd92722405ed7e19029a1f60fce12 | [
"BSD-3-Clause"
] | 37 | 2019-04-03T23:25:09.000Z | 2020-02-05T23:57:02.000Z | pydv/pdvnavbar.py | griffin28/PyDV | 2ea2e904d95dd92722405ed7e19029a1f60fce12 | [
"BSD-3-Clause"
] | 2 | 2019-04-25T15:56:31.000Z | 2019-09-04T20:16:50.000Z | # Copyright (c) 2011-2022, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory
# Written by Mason Kwiat, Douglas S. Miller, and Kevin Griffin, Edward Rusu
# e-mail: rusu1@llnl.gov
# LLNL-CODE-507071
# All rights reserved.
# This file is part of PDV. For details, see <URL describing code and
# how to download source>. Please also read "Additional BSD Notice".
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# Redistributions of source code must retain the above copyright
# notice, this list of conditions and the disclaimer below.
# Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the disclaimer (as noted below)
# in the documentation and/or other materials provided with the
# distribution. Neither the name of the LLNS/LLNL nor the names of
# its contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL LAWRENCE
# LIVERMORE NATIONAL SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
# USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
# OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
# SUCH DAMAGE.
# Additional BSD Notice
# 1. This notice is required to be provided under our contract with
# the U.S. Department of Energy (DOE). This work was produced at
# Lawrence Livermore National Laboratory under Contract
# No. DE-AC52-07NA27344 with the DOE.
# 2. Neither the United States Government nor Lawrence Livermore
# National Security, LLC nor any of their employees, makes any
# warranty, express or implied, or assumes any liability or
# responsibility for the accuracy, completeness, or usefulness of any
# information, apparatus, product, or process disclosed, or represents
# that its use would not infringe privately-owned rights.
# 3. Also, reference herein to any specific commercial products,
# process, or services by trade name, trademark, manufacturer or
# otherwise does not necessarily constitute or imply its endorsement,
# recommendation, or favoring by the United States Government or
# Lawrence Livermore National Security, LLC. The views and opinions
# of authors expressed herein do not necessarily state or reflect
# those of the United States Government or Lawrence Livermore National
# Security, LLC, and shall not be used for advertising or product
# endorsement purposes.
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT
class PyDVToolbar(NavigationToolbar2QT):
def __init__(self, canvas_, parent_, coordinates_):
self.parent = parent_
NavigationToolbar2QT.__init__(self, canvas_, parent_, coordinates_)
def edit_parameters(self):
self.parent.plotChanged = True
NavigationToolbar2QT.edit_parameters(self)
def zoom(self, *args):
self.parent.plotChanged = True
NavigationToolbar2QT.zoom(self, *args)
| 46.717949 | 75 | 0.778814 | 507 | 3,644 | 5.56213 | 0.475345 | 0.042199 | 0.062057 | 0.058511 | 0.213121 | 0.116667 | 0.086525 | 0.086525 | 0.086525 | 0.086525 | 0 | 0.010877 | 0.167398 | 3,644 | 77 | 76 | 47.324675 | 0.918589 | 0.82876 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.090909 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6fdbb287295b2636d3544d02fffe1aff3fc6e597 | 2,675 | py | Python | NikoLib/NKAppDataManager.py | nikoc2016/NikoKit | c78410c1d0897096c67b69ac3607b165372d09f0 | [
"MIT"
] | null | null | null | NikoLib/NKAppDataManager.py | nikoc2016/NikoKit | c78410c1d0897096c67b69ac3607b165372d09f0 | [
"MIT"
] | null | null | null | NikoLib/NKAppDataManager.py | nikoc2016/NikoKit | c78410c1d0897096c67b69ac3607b165372d09f0 | [
"MIT"
] | null | null | null | import json
import os
import os.path as p
from NikoKit.NikoStd.NKPrintableMixin import NKPrintableMixin
from NikoKit.NikoLib.NKFileSystem import scout
class NKAppDataMixin:
@classmethod
def new_appdata(cls):
return {}
def __init__(self, appdata_mgr, appdata_name, *args, **kwargs):
self.appdata_mgr = appdata_mgr
self.appdata_name = appdata_name
super(NKAppDataMixin, self).__init__(*args, **kwargs)
def load_appdata(self):
local_appdata = self.appdata_mgr.get(self.appdata_name)
appdata = self.new_appdata()
if local_appdata:
appdata.update(local_appdata)
self.apply_appdata(appdata)
def save_appdata(self):
self.appdata_mgr.set(self.appdata_name, self.extract_appdata())
self.appdata_mgr.save(self.appdata_name)
def extract_appdata(self):
appdata = self.new_appdata()
# Set appdata to this dict
return appdata
def apply_appdata(self, appdata):
# You will have to set up appdata here
pass
class NKAppDataManager(NKPrintableMixin):
def __init__(self, appdata_root):
super(NKAppDataManager, self).__init__()
self.appdata_root = appdata_root
self.appdata_objects = {}
self.appdata_ext = ".nkappdata"
def get(self, appdata_name):
if appdata_name in self.appdata_objects.keys():
return self.appdata_objects[appdata_name]
else:
return None
def set(self, appdata_name, appdata_object):
self.appdata_objects[appdata_name] = appdata_object
def save(self, appdata_name):
appdata_path = p.join(self.appdata_root, appdata_name + self.appdata_ext)
scout(appdata_path)
with open(appdata_path, "w", encoding="utf-8") as f:
json.dump(self.appdata_objects[appdata_name], f, ensure_ascii=False)
def load(self, appdata_name):
appdata_path = p.join(self.appdata_root, appdata_name + self.appdata_ext)
scout(appdata_path)
with open(appdata_path, "r", encoding="utf-8") as f:
self.appdata_objects[appdata_name] = json.load(f)
def save_all(self):
for appdata_name in self.appdata_objects.keys():
self.save(appdata_name)
def load_all(self):
scout(self.appdata_root)
for appdata_filename in os.listdir(self.appdata_root):
if p.splitext(appdata_filename)[1] == self.appdata_ext and p.isfile(p.join(self.appdata_root,
appdata_filename)):
self.load(appdata_name=p.splitext(appdata_filename)[0])
| 34.294872 | 106 | 0.65271 | 332 | 2,675 | 4.993976 | 0.23494 | 0.218938 | 0.072376 | 0.066345 | 0.274427 | 0.186369 | 0.170084 | 0.127865 | 0.127865 | 0.127865 | 0 | 0.002008 | 0.255327 | 2,675 | 77 | 107 | 34.74026 | 0.830321 | 0.022804 | 0 | 0.101695 | 0 | 0 | 0.008426 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.220339 | false | 0.016949 | 0.084746 | 0.016949 | 0.40678 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6ff4b518fdd7b40fe5d2be802d2984c373273239 | 5,034 | py | Python | backend/backend/settings.py | devillD/chat | 61c3b92474463c16e73c7efbf68f626274103be4 | [
"MIT"
] | 68 | 2018-01-06T01:02:37.000Z | 2022-03-25T17:01:29.000Z | backend/backend/settings.py | devillD/chat | 61c3b92474463c16e73c7efbf68f626274103be4 | [
"MIT"
] | 12 | 2018-10-07T05:37:29.000Z | 2022-03-02T03:59:17.000Z | backend/backend/settings.py | devillD/chat | 61c3b92474463c16e73c7efbf68f626274103be4 | [
"MIT"
] | 32 | 2018-01-06T01:02:38.000Z | 2022-03-04T16:13:13.000Z | """
Django settings for backend project.
Generated by 'django-admin startproject' using Django 1.10.6.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'ybm%7nr$nrqa7!x=$tb@+621y2am+*we^cl+v$&um()2km+i7-'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
APPEND_SLASH = False
ALLOWED_HOSTS = ['*']
DJANGO_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
CUSTOM_APPS = [
'chat',
'profiles'
]
THIRD_PARTY_APPS = [
'corsheaders',
'rest_framework',
'channels'
]
INSTALLED_APPS = DJANGO_APPS + THIRD_PARTY_APPS + CUSTOM_APPS
MIDDLEWARE = [
'corsheaders.middleware.CorsMiddleware',
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
CORS_ORIGIN_ALLOW_ALL = True
ROOT_URLCONF = 'backend.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [
os.path.join(BASE_DIR, 'templates'),
],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'backend.wsgi.application'
ASGI_APPLICATION = 'backend.routing.application'
redis_host = os.environ.get('REDIS_HOST', 'localhost')
# asgiredis
CHANNEL_LAYERS = {
"default": {
"BACKEND": "asgiref.inmemory.ChannelLayer",
# "CONFIG": {
# "hosts": [(redis_host, 6379)],
# },
"ROUTING": "backend.routing.channel_routing",
},
}
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
database_host = os.environ.get('DATABASE_HOST', '127.0.0.1')
database_username = os.environ.get('DATABASE_USERNAME', 'chat')
database_name = os.environ.get('DATABASE_NAME', 'chat')
database_port = os.environ.get('DATABASE_PORT', '3340')
database_password = os.environ.get('DATABASE_PASSWORD', '!23qweASD')
database_engine = os.environ.get('DATABASE_ENGINE', 'django.db.backends.mysql')
DATABASES = {
'default': {
'ENGINE': database_engine,
'NAME': database_name,
'USER': database_username,
'PASSWORD': database_password,
'HOST': database_host,
'PORT': database_port,
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', # noqa
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', # noqa
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',# noqa
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', # noqa
},
]
# JWT Authentication
REST_FRAMEWORK = {
'DEFAULT_PERMISSION_CLASSES': (
'rest_framework.permissions.IsAuthenticated',
),
'DEFAULT_AUTHENTICATION_CLASSES': (
'rest_framework_jwt.authentication.JSONWebTokenAuthentication',
'rest_framework.authentication.SessionAuthentication',
'rest_framework.authentication.BasicAuthentication',
),
}
JWT_AUTH = {
# @TODO add custom auth handler
# 'JWT_RESPONSE_PAYLOAD_HANDLER':
# 'profiles.views.jwt_response_payload_handler',
'JWT_VERIFY_EXPIRATION': False
}
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
MEDIA_URL = '/media/'
MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
STATICFILES_DIRS = [
os.path.join(BASE_DIR, "static"),
]
STATIC_ROOT = os.path.join(os.path.dirname(BASE_DIR), "static")
| 26.494737 | 98 | 0.690902 | 554 | 5,034 | 6.110108 | 0.368231 | 0.057607 | 0.045495 | 0.051699 | 0.162482 | 0.142984 | 0.119055 | 0.080945 | 0.036337 | 0 | 0 | 0.013215 | 0.173222 | 5,034 | 189 | 99 | 26.634921 | 0.800096 | 0.234406 | 0 | 0.034188 | 1 | 0.008547 | 0.477749 | 0.372775 | 0 | 0 | 0 | 0.005291 | 0 | 1 | 0 | false | 0.059829 | 0.008547 | 0 | 0.008547 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b50e412c8337f3a1c10eebb300113e7d30d7c219 | 250 | py | Python | setup.py | arteedecco/all-reviews-reports-merge | 474868598d685997ac28577e9e5ffbaf90eb4e8f | [
"MIT"
] | null | null | null | setup.py | arteedecco/all-reviews-reports-merge | 474868598d685997ac28577e9e5ffbaf90eb4e8f | [
"MIT"
] | null | null | null | setup.py | arteedecco/all-reviews-reports-merge | 474868598d685997ac28577e9e5ffbaf90eb4e8f | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name='yourscript',
version='0.1',
py_modules=['yourscript'],
install_requires=[
'Click', 'openpyxl',
],
entry_points='''
[console_scripts]
merge=merge:cli
''',
) | 17.857143 | 30 | 0.568 | 24 | 250 | 5.75 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01105 | 0.276 | 250 | 14 | 31 | 17.857143 | 0.751381 | 0 | 0 | 0 | 0 | 0 | 0.36255 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.076923 | 0 | 0.076923 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b516cdf0eb3ef1e5a649492d9d3f9aefeb27ab25 | 262 | py | Python | HR_IntroToConditionalStatements.py | bluewitch/Code-Blue-Python | 07230fbc8e20d263950ad2476e79da12b64cff2d | [
"MIT"
] | null | null | null | HR_IntroToConditionalStatements.py | bluewitch/Code-Blue-Python | 07230fbc8e20d263950ad2476e79da12b64cff2d | [
"MIT"
] | null | null | null | HR_IntroToConditionalStatements.py | bluewitch/Code-Blue-Python | 07230fbc8e20d263950ad2476e79da12b64cff2d | [
"MIT"
] | 1 | 2020-02-13T14:47:12.000Z | 2020-02-13T14:47:12.000Z | #!/bin/python3
import math
import os
import random
import re
import sys
if __name__ == '__main__':
#N = int(input())
N = int(input().strip())
# Done with Regular Expressions
print("Not "*bool(re.match(r'^(..)(\1|\1{10,})?$','1'*N))+"Weird")
| 15.411765 | 70 | 0.591603 | 38 | 262 | 3.868421 | 0.710526 | 0.054422 | 0.122449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028169 | 0.187023 | 262 | 16 | 71 | 16.375 | 0.661972 | 0.225191 | 0 | 0 | 0 | 0 | 0.185 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.625 | 0 | 0.625 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
82ef9bf8d3b8c396ce6cd81cd7b3c06fbdec3fe2 | 336 | py | Python | blender/arm/logicnode/random/LN_random_color.py | niacdoial/armory | 3f9b633fbf772017c576a3f77695a6c28d9956e1 | [
"Zlib"
] | null | null | null | blender/arm/logicnode/random/LN_random_color.py | niacdoial/armory | 3f9b633fbf772017c576a3f77695a6c28d9956e1 | [
"Zlib"
] | null | null | null | blender/arm/logicnode/random/LN_random_color.py | niacdoial/armory | 3f9b633fbf772017c576a3f77695a6c28d9956e1 | [
"Zlib"
] | null | null | null | from arm.logicnode.arm_nodes import *
class RandomColorNode(ArmLogicTreeNode):
"""Generates a random color."""
bl_idname = 'LNRandomColorNode'
bl_label = 'Random Color'
arm_version = 1
def init(self, context):
super(RandomColorNode, self).init(context)
self.add_output('NodeSocketColor', 'Color')
| 25.846154 | 51 | 0.690476 | 37 | 336 | 6.135135 | 0.702703 | 0.096916 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003704 | 0.196429 | 336 | 12 | 52 | 28 | 0.837037 | 0.074405 | 0 | 0 | 1 | 0 | 0.160656 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
82f3baf0fddd8806dac41be7946a3057bc25e60f | 591 | py | Python | fwtorch/dataset/dali_base.py | Solacex/Flat-White | 6d0f94180b6dfae45955595962f1965b26b2b6f5 | [
"MIT"
] | 2 | 2021-02-17T13:37:56.000Z | 2021-02-17T13:40:45.000Z | fwtorch/dataset/dali_base.py | Solacex/Flat-White | 6d0f94180b6dfae45955595962f1965b26b2b6f5 | [
"MIT"
] | null | null | null | fwtorch/dataset/dali_base.py | Solacex/Flat-White | 6d0f94180b6dfae45955595962f1965b26b2b6f5 | [
"MIT"
] | null | null | null |
import torch
from nvidia.dali.pipeline import Pipeline
import nvidia.dali.ops as ops
from .Iterator import *
import nvidia.dali.types as types
class BasePipeline(Pipeline):
def __init__(iterator, batch_size, num_threads, device_id):
self.input = ops.ExternalSource()#ops.FileReader(iterator[0], share_id=device_id, num_shards=num_threads)
self.label = ops.ExternalSource()
self.decode = ops.ImageDecoder(device='mixed', output_type=types.RGB)
self.label_decode = ops.ImageDecoder(device='mixed', output_type=types.msa)
def define_graph(self):
| 36.9375 | 114 | 0.741117 | 80 | 591 | 5.2875 | 0.4625 | 0.070922 | 0.07565 | 0.12766 | 0.222222 | 0.222222 | 0.222222 | 0.222222 | 0 | 0 | 0 | 0.002 | 0.153976 | 591 | 15 | 115 | 39.4 | 0.844 | 0.120135 | 0 | 0 | 0 | 0 | 0.019342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.416667 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
82f50340c6dfc530b155fcb07d8d75c874b1211e | 3,304 | py | Python | cfgrib/cfgrib_.py | shoyer/cfgrib | fe11a1b638b1779e51da87eaa30f1f12b2d0911c | [
"Apache-2.0"
] | null | null | null | cfgrib/cfgrib_.py | shoyer/cfgrib | fe11a1b638b1779e51da87eaa30f1f12b2d0911c | [
"Apache-2.0"
] | null | null | null | cfgrib/cfgrib_.py | shoyer/cfgrib | fe11a1b638b1779e51da87eaa30f1f12b2d0911c | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2017-2018 European Centre for Medium-Range Weather Forecasts (ECMWF).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Authors:
# Alessandro Amici - B-Open - https://bopen.eu
#
from __future__ import absolute_import, division, print_function
import numpy as np
from xarray import Variable
from xarray.core import indexing
from xarray.core.utils import Frozen, FrozenOrderedDict
from xarray.backends.common import AbstractDataStore, BackendArray
try:
from xarray.backends.locks import ensure_lock, SerializableLock
except ImportError:
# no locking for xarray <= 0.11
def ensure_lock(lock):
return lock
class SerializableLock(object):
def __enter__(self):
pass
def __exit__(self, exc_type, exc_val, exc_tb):
pass
# FIXME: Add a dedicated lock, even if ecCodes is supposed to be thread-safe
# in most circumstances. See:
# https://confluence.ecmwf.int/display/ECC/Frequently+Asked+Questions
ECCODES_LOCK = SerializableLock()
class CfGribArrayWrapper(BackendArray):
def __init__(self, datastore, array):
self.datastore = datastore
self.shape = array.shape
self.dtype = array.dtype
self.array = array
def __getitem__(self, key):
return indexing.explicit_indexing_adapter(
key, self.shape, indexing.IndexingSupport.OUTER, self._getitem)
def _getitem(self, key):
with self.datastore.lock:
return self.array[key]
class CfGribDataStore(AbstractDataStore):
"""
Implements the ``xr.AbstractDataStore`` read-only API for a GRIB file.
"""
def __init__(self, filename, lock=None, **backend_kwargs):
import cfgrib
if lock is None:
lock = ECCODES_LOCK
self.lock = ensure_lock(lock)
self.ds = cfgrib.open_file(filename, **backend_kwargs)
def open_store_variable(self, name, var):
if isinstance(var.data, np.ndarray):
data = var.data
else:
wrapped_array = CfGribArrayWrapper(self, var.data)
data = indexing.LazilyOuterIndexedArray(wrapped_array)
encoding = self.ds.encoding.copy()
encoding['original_shape'] = var.data.shape
return Variable(var.dimensions, data, var.attributes, encoding)
def get_variables(self):
return FrozenOrderedDict((k, self.open_store_variable(k, v))
for k, v in self.ds.variables.items())
def get_attrs(self):
return Frozen(self.ds.attributes)
def get_dimensions(self):
return Frozen(self.ds.dimensions)
def get_encoding(self):
dims = self.get_dimensions()
encoding = {
'unlimited_dims': {k for k, v in dims.items() if v is None},
}
return encoding
| 31.769231 | 81 | 0.680993 | 415 | 3,304 | 5.291566 | 0.440964 | 0.027322 | 0.01184 | 0.014572 | 0.020036 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005917 | 0.232748 | 3,304 | 103 | 82 | 32.07767 | 0.860355 | 0.283293 | 0 | 0.034483 | 0 | 0 | 0.012012 | 0 | 0 | 0 | 0 | 0.009709 | 0 | 1 | 0.206897 | false | 0.034483 | 0.155172 | 0.086207 | 0.551724 | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d2104987195e80827dbe101999b5e6c5a19d3497 | 660 | py | Python | pirates/instance/DistributedTeleportZoneAI.py | Willy5s/Pirates-Online-Rewritten | 7434cf98d9b7c837d57c181e5dabd02ddf98acb7 | [
"BSD-3-Clause"
] | 81 | 2018-04-08T18:14:24.000Z | 2022-01-11T07:22:15.000Z | pirates/instance/DistributedTeleportZoneAI.py | Willy5s/Pirates-Online-Rewritten | 7434cf98d9b7c837d57c181e5dabd02ddf98acb7 | [
"BSD-3-Clause"
] | 4 | 2018-09-13T20:41:22.000Z | 2022-01-08T06:57:00.000Z | pirates/instance/DistributedTeleportZoneAI.py | Willy5s/Pirates-Online-Rewritten | 7434cf98d9b7c837d57c181e5dabd02ddf98acb7 | [
"BSD-3-Clause"
] | 26 | 2018-05-26T12:49:27.000Z | 2021-09-11T09:11:59.000Z | from pirates.instance.DistributedInstanceWorldAI import DistributedInstanceWorldAI
from direct.directnotify import DirectNotifyGlobal
from pirates.piratesbase import PiratesGlobals
from pirates.pirate.DistributedPlayerPirateAI import DistributedPlayerPirateAI
class DistributedTeleportZoneAI(DistributedInstanceWorldAI):
notify = DirectNotifyGlobal.directNotify.newCategory('DistributedTeleportZoneAI')
def __init__(self, air):
DistributedInstanceWorldAI.__init__(self, air)
self.type = PiratesGlobals.INSTANCE_NONE
def delete(self):
self.air.deallocateZone(self.zoneId)
DistributedInstanceWorldAI.delete(self)
| 36.666667 | 85 | 0.818182 | 54 | 660 | 9.833333 | 0.462963 | 0.062147 | 0.041431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.124242 | 660 | 17 | 86 | 38.823529 | 0.918685 | 0 | 0 | 0 | 0 | 0 | 0.037879 | 0.037879 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
d211fa6e6146e61fe5e0e5468bdabfe011835d24 | 908 | py | Python | core_utils/pdf_utils.py | veronicamanukyan/2021-2-level-ctlr | 387c2fd3657544c439fff634e620790bf2529836 | [
"MIT"
] | null | null | null | core_utils/pdf_utils.py | veronicamanukyan/2021-2-level-ctlr | 387c2fd3657544c439fff634e620790bf2529836 | [
"MIT"
] | 19 | 2022-03-07T12:40:55.000Z | 2022-03-30T15:51:37.000Z | core_utils/pdf_utils.py | veronicamanukyan/2021-2-level-ctlr | 387c2fd3657544c439fff634e620790bf2529836 | [
"MIT"
] | 48 | 2022-01-17T10:10:26.000Z | 2022-03-22T15:05:21.000Z | """
PDF files downloader implementation
"""
import wget
import fitz
from constants import ASSETS_PATH
class PDFRawFile:
"""
PDF files downloader class implementation.
Knows how to download PDF from a given URL.
Manages PDF's text.
"""
def __init__(self, journal_url: str, journal_id: int):
self._url = journal_url
self._id = journal_id
self.text = None
def download(self):
"""
Downloads PDF file by the URL given.
"""
wget.download(self._url, str(ASSETS_PATH / f"{self._id}_raw.pdf"))
def get_text(self):
"""
Gets text from the PDF file downloaded.
"""
text = ""
with fitz.open(ASSETS_PATH / f"{self._id}_raw.pdf") as pdf:
for page in pdf:
text += page.get_text()
return text
@property
def own_id(self):
return self._id
| 21.619048 | 74 | 0.585903 | 117 | 908 | 4.358974 | 0.418803 | 0.047059 | 0.070588 | 0.058824 | 0.090196 | 0.090196 | 0.090196 | 0 | 0 | 0 | 0 | 0 | 0.316079 | 908 | 41 | 75 | 22.146341 | 0.821256 | 0.241189 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0 | 0.157895 | 0.052632 | 0.526316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d212fedb060b369a9849a463c3bbdc3732186434 | 1,179 | py | Python | keydb/client.py | userkimcs/keydb-python | 589ad851292f1e4140dc238629ff2a56e089f402 | [
"MIT"
] | 7 | 2020-05-12T03:01:26.000Z | 2021-09-29T13:29:48.000Z | keydb/client.py | userkimcs/keydb-python | 589ad851292f1e4140dc238629ff2a56e089f402 | [
"MIT"
] | null | null | null | keydb/client.py | userkimcs/keydb-python | 589ad851292f1e4140dc238629ff2a56e089f402 | [
"MIT"
] | 4 | 2020-09-05T02:22:05.000Z | 2021-04-30T00:51:34.000Z | from redis import *
class KeyDB(StrictRedis):
def __init__(self, **kwargs):
super(KeyDB, self).__init__(**kwargs)
def expiremember(self, key, subkey, delay, unit=None):
"""
Set timeout on a subkey. This feature only available on KeyDB
https://docs.keydb.dev/docs/commands/#expiremember
:param key: key added by `SADD key [subkeys]`
:param subkey: subkey on the set
:param delay: timeout
:param unit: `s` or `ms`
:return: 0 if the timeout was set, otherwise 0
"""
args = [key, subkey, delay]
if unit is not None and unit not in ['s', 'ms']:
raise ValueError("`unit` must be s or ms")
if unit:
args.append(unit)
return self.execute_command('EXPIREMEMBER', *args)
def expirememberat(self, key, subkey, timestamp):
"""
Set timeout on a subkey by timestamp instead of seconds
https://docs.keydb.dev/docs/commands/#expirememberat
:param key:
:param subkey:
:param timestamp:
:return:
"""
return self.execute_command('EXPIREMEMBERAT', key, subkey, timestamp)
| 31.026316 | 77 | 0.596268 | 144 | 1,179 | 4.8125 | 0.416667 | 0.051948 | 0.037518 | 0.037518 | 0.138528 | 0.083694 | 0 | 0 | 0 | 0 | 0 | 0.002407 | 0.295165 | 1,179 | 37 | 78 | 31.864865 | 0.831528 | 0.379983 | 0 | 0 | 0 | 0 | 0.08557 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.076923 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d2156903e24e3b82bfc421ebb7ae383a58c4b646 | 114 | py | Python | PythonBasics/ForLoops/Labs/even_powers.py | achoraev/SoftUni | 0cc7db470a096cc33bbe0ca6bd90060b79120573 | [
"Apache-2.0"
] | null | null | null | PythonBasics/ForLoops/Labs/even_powers.py | achoraev/SoftUni | 0cc7db470a096cc33bbe0ca6bd90060b79120573 | [
"Apache-2.0"
] | null | null | null | PythonBasics/ForLoops/Labs/even_powers.py | achoraev/SoftUni | 0cc7db470a096cc33bbe0ca6bd90060b79120573 | [
"Apache-2.0"
] | null | null | null | import math
n = int(input())
for i in range(0, n + 1, 2):
num = math.pow(2, i)
print(f"{num:.0f}") | 16.285714 | 29 | 0.5 | 22 | 114 | 2.590909 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061728 | 0.289474 | 114 | 7 | 30 | 16.285714 | 0.641975 | 0 | 0 | 0 | 0 | 0 | 0.082569 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d219a4e4b8aa0d9ea29bcbf5451f0ff2c83e65ee | 1,448 | py | Python | samples/openapi3/client/petstore/python/tests_manual/test_composed_schema_with_props_and_no_add_props.py | JigarJoshi/openapi-generator | 785535b8d6881b358463994823abbda2b26ff42e | [
"Apache-2.0"
] | 11,868 | 2018-05-12T02:58:07.000Z | 2022-03-31T21:19:39.000Z | samples/openapi3/client/petstore/python/tests_manual/test_composed_schema_with_props_and_no_add_props.py | JigarJoshi/openapi-generator | 785535b8d6881b358463994823abbda2b26ff42e | [
"Apache-2.0"
] | 9,672 | 2018-05-12T14:25:43.000Z | 2022-03-31T23:59:30.000Z | samples/openapi3/client/petstore/python/tests_manual/test_composed_schema_with_props_and_no_add_props.py | JigarJoshi/openapi-generator | 785535b8d6881b358463994823abbda2b26ff42e | [
"Apache-2.0"
] | 4,776 | 2018-05-12T12:06:08.000Z | 2022-03-31T19:52:51.000Z | """
OpenAPI Petstore
This spec is mainly for testing Petstore server and contains fake endpoints, models. Please do not use this for any other purpose. Special characters: \" \\ # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import petstore_api
from petstore_api.model.tag import Tag
globals()['Tag'] = Tag
from petstore_api.model.composed_schema_with_props_and_no_add_props import ComposedSchemaWithPropsAndNoAddProps
class TestComposedSchemaWithPropsAndNoAddProps(unittest.TestCase):
"""ComposedSchemaWithPropsAndNoAddProps unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testComposedSchemaWithPropsAndNoAddProps(self):
"""Test ComposedSchemaWithPropsAndNoAddProps"""
inst = ComposedSchemaWithPropsAndNoAddProps(color='red')
# ComposedSchemaWithPropsAndNoAddProps should only allow in the color property
# once https://github.com/OpenAPITools/openapi-generator/pull/8816 lands
# this will no longer work
# TODO update the test then
inst = ComposedSchemaWithPropsAndNoAddProps(color='red', id=1, name='foo')
with self.assertRaises(petstore_api.ApiAttributeError):
inst = ComposedSchemaWithPropsAndNoAddProps(color='red', id=1, name='foo', additional=5)
if __name__ == '__main__':
unittest.main()
| 31.478261 | 174 | 0.734116 | 156 | 1,448 | 6.692308 | 0.589744 | 0.042146 | 0.12931 | 0.137931 | 0.111111 | 0.111111 | 0.111111 | 0.111111 | 0 | 0 | 0 | 0.010998 | 0.183702 | 1,448 | 45 | 175 | 32.177778 | 0.87225 | 0.393646 | 0 | 0.111111 | 0 | 0 | 0.030989 | 0 | 0 | 0 | 0 | 0.022222 | 0.055556 | 1 | 0.166667 | false | 0.111111 | 0.277778 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d223a1e2610370966021f952b3bfa6e8c54cc0cf | 14,320 | py | Python | core/doctype/profile/profile.py | hafeez3000/wnframework | 1160c108fef8f4956f5e14a072ea43e75230b9eb | [
"MIT"
] | 6 | 2015-08-24T23:10:57.000Z | 2019-11-10T06:57:23.000Z | core/doctype/profile/profile.py | hafeez3000/wnframework | 1160c108fef8f4956f5e14a072ea43e75230b9eb | [
"MIT"
] | null | null | null | core/doctype/profile/profile.py | hafeez3000/wnframework | 1160c108fef8f4956f5e14a072ea43e75230b9eb | [
"MIT"
] | 5 | 2015-01-05T06:59:45.000Z | 2020-11-07T15:15:07.000Z | # Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt
from __future__ import unicode_literals
import webnotes, json
from webnotes.utils import cint, now, cstr
from webnotes import _
class DocType:
def __init__(self, doc, doclist):
self.doc = doc
self.doclist = doclist
def autoname(self):
"""set name as email id"""
if self.doc.name not in ('Guest','Administrator'):
self.doc.email = self.doc.email.strip()
self.doc.name = self.doc.email
if webnotes.conn.exists("Profile", self.doc.name):
webnotes.msgprint("Name Exists", raise_exception=True)
def validate(self):
self.in_insert = self.doc.fields.get("__islocal")
if self.doc.name not in ('Guest','Administrator'):
self.validate_email_type(self.doc.email)
self.validate_max_users()
self.add_system_manager_role()
self.check_enable_disable()
if self.in_insert:
if self.doc.name not in ("Guest", "Administrator"):
self.send_welcome_mail()
webnotes.msgprint(_("Welcome Email Sent"))
else:
self.email_new_password()
self.doc.new_password = ""
def check_enable_disable(self):
# do not allow disabling administrator/guest
if not cint(self.doc.enabled) and self.doc.name in ["Administrator", "Guest"]:
webnotes.msgprint("Hey! You cannot disable user: %s" % self.doc.name,
raise_exception=1)
if not cint(self.doc.enabled):
self.a_system_manager_should_exist()
# clear sessions if disabled
if not cint(self.doc.enabled) and getattr(webnotes, "login_manager", None):
webnotes.local.login_manager.logout(user=self.doc.name)
def validate_max_users(self):
"""don't allow more than max users if set in conf"""
from webnotes import conf
# check only when enabling a user
if 'max_users' in conf and self.doc.enabled and \
self.doc.name not in ["Administrator", "Guest"] and \
cstr(self.doc.user_type).strip() in ("", "System User"):
active_users = webnotes.conn.sql("""select count(*) from tabProfile
where ifnull(enabled, 0)=1 and docstatus<2
and ifnull(user_type, "System User") = "System User"
and name not in ('Administrator', 'Guest', %s)""", (self.doc.name,))[0][0]
if active_users >= conf.max_users and conf.max_users:
webnotes.msgprint("""
You already have <b>%(active_users)s</b> active users, \
which is the maximum number that you are currently allowed to add. <br /><br /> \
So, to add more users, you can:<br /> \
1. <b>Upgrade to the unlimited users plan</b>, or<br /> \
2. <b>Disable one or more of your existing users and try again</b>""" \
% {'active_users': active_users}, raise_exception=1)
def add_system_manager_role(self):
# if adding system manager, do nothing
if not cint(self.doc.enabled) or ("System Manager" in [user_role.role for user_role in
self.doclist.get({"parentfield": "user_roles"})]):
return
if self.doc.user_type == "System User" and not self.get_other_system_managers():
webnotes.msgprint("""Adding System Manager Role as there must
be atleast one 'System Manager'.""")
self.doclist.append({
"doctype": "UserRole",
"parentfield": "user_roles",
"role": "System Manager"
})
def email_new_password(self):
if self.doc.new_password and not self.in_insert:
from webnotes.auth import _update_password
_update_password(self.doc.name, self.doc.new_password)
self.password_update_mail(self.doc.new_password)
webnotes.msgprint("New Password Emailed.")
def on_update(self):
# owner is always name
webnotes.conn.set(self.doc, 'owner', self.doc.name)
webnotes.clear_cache(user=self.doc.name)
def reset_password(self):
from webnotes.utils import random_string, get_url
key = random_string(32)
webnotes.conn.set_value("Profile", self.doc.name, "reset_password_key", key)
self.password_reset_mail(get_url("/update-password?key=" + key))
def get_other_system_managers(self):
return webnotes.conn.sql("""select distinct parent from tabUserRole user_role
where role='System Manager' and docstatus<2
and parent not in ('Administrator', %s) and exists
(select * from `tabProfile` profile
where profile.name=user_role.parent and enabled=1)""", (self.doc.name,))
def get_fullname(self):
"""get first_name space last_name"""
return (self.doc.first_name or '') + \
(self.doc.first_name and " " or '') + (self.doc.last_name or '')
def password_reset_mail(self, link):
"""reset password"""
txt = """
## Password Reset
Dear %(first_name)s,
Please click on the following link to update your new password:
<a href="%(link)s">%(link)s</a>
Thank you,<br>
%(user_fullname)s
"""
self.send_login_mail("Your " + webnotes.get_config().get("app_name") + " password has been reset",
txt, {"link": link})
def password_update_mail(self, password):
txt = """
## Password Update Notification
Dear %(first_name)s,
Your password has been updated. Here is your new password: %(new_password)s
Thank you,<br>
%(user_fullname)s
"""
self.send_login_mail("Your " + webnotes.get_config().get("app_name") + " password has been reset",
txt, {"new_password": password})
def send_welcome_mail(self):
"""send welcome mail to user with password and login url"""
from webnotes.utils import random_string, get_url
self.doc.reset_password_key = random_string(32)
link = get_url("/update-password?key=" + self.doc.reset_password_key)
txt = """
## %(company)s
Dear %(first_name)s,
A new account has been created for you.
Your login id is: %(user)s
To complete your registration, please click on the link below:
<a href="%(link)s">%(link)s</a>
Thank you,<br>
%(user_fullname)s
"""
self.send_login_mail("Welcome to " + webnotes.get_config().get("app_name"), txt,
{ "link": link })
def send_login_mail(self, subject, txt, add_args):
"""send mail with login details"""
import os
from webnotes.utils.email_lib import sendmail_md
from webnotes.profile import get_user_fullname
from webnotes.utils import get_url
full_name = get_user_fullname(webnotes.session['user'])
if full_name == "Guest":
full_name = "Administrator"
args = {
'first_name': self.doc.first_name or self.doc.last_name or "user",
'user': self.doc.name,
'company': webnotes.conn.get_default('company') or webnotes.get_config().get("app_name"),
'login_url': get_url(),
'product': webnotes.get_config().get("app_name"),
'user_fullname': full_name
}
args.update(add_args)
sender = webnotes.session.user not in ("Administrator", "Guest") and webnotes.session.user or None
sendmail_md(recipients=self.doc.email, sender=sender, subject=subject, msg=txt % args)
def a_system_manager_should_exist(self):
if not self.get_other_system_managers():
webnotes.msgprint(_("""Hey! There should remain at least one System Manager"""),
raise_exception=True)
def on_trash(self):
webnotes.clear_cache(user=self.doc.name)
if self.doc.name in ["Administrator", "Guest"]:
webnotes.msgprint("""Hey! You cannot delete user: %s""" % (self.name, ),
raise_exception=1)
self.a_system_manager_should_exist()
# disable the user and log him/her out
self.doc.enabled = 0
if getattr(webnotes.local, "login_manager", None):
webnotes.local.login_manager.logout(user=self.doc.name)
# delete their password
webnotes.conn.sql("""delete from __Auth where user=%s""", self.doc.name)
# delete todos
webnotes.conn.sql("""delete from `tabToDo` where owner=%s""", self.doc.name)
webnotes.conn.sql("""update tabToDo set assigned_by=null where assigned_by=%s""",
self.doc.name)
# delete events
webnotes.conn.sql("""delete from `tabEvent` where owner=%s
and event_type='Private'""", self.doc.name)
webnotes.conn.sql("""delete from `tabEvent User` where person=%s""", self.doc.name)
# delete messages
webnotes.conn.sql("""delete from `tabComment` where comment_doctype='Message'
and (comment_docname=%s or owner=%s)""", (self.doc.name, self.doc.name))
def before_rename(self, olddn, newdn, merge=False):
webnotes.clear_cache(user=olddn)
self.validate_rename(olddn, newdn)
def validate_rename(self, olddn, newdn):
# do not allow renaming administrator and guest
if olddn in ["Administrator", "Guest"]:
webnotes.msgprint("""Hey! You are restricted from renaming the user: %s""" % \
(olddn, ), raise_exception=1)
self.validate_email_type(newdn)
def validate_email_type(self, email):
from webnotes.utils import validate_email_add
email = email.strip()
if not validate_email_add(email):
webnotes.msgprint("%s is not a valid email id" % email)
raise Exception
def after_rename(self, olddn, newdn, merge=False):
tables = webnotes.conn.sql("show tables")
for tab in tables:
desc = webnotes.conn.sql("desc `%s`" % tab[0], as_dict=1)
has_fields = []
for d in desc:
if d.get('Field') in ['owner', 'modified_by']:
has_fields.append(d.get('Field'))
for field in has_fields:
webnotes.conn.sql("""\
update `%s` set `%s`=%s
where `%s`=%s""" % \
(tab[0], field, '%s', field, '%s'), (newdn, olddn))
# set email
webnotes.conn.sql("""\
update `tabProfile` set email=%s
where name=%s""", (newdn, newdn))
# update __Auth table
if not merge:
webnotes.conn.sql("""update __Auth set user=%s where user=%s""", (newdn, olddn))
def add_roles(self, *roles):
for role in roles:
if role in [d.role for d in self.doclist.get({"doctype":"UserRole"})]:
continue
self.bean.doclist.append({
"doctype": "UserRole",
"parentfield": "user_roles",
"role": role
})
self.bean.save()
@webnotes.whitelist()
def get_languages():
from webnotes.translate import get_lang_dict
languages = get_lang_dict().keys()
languages.sort()
return [""] + languages
@webnotes.whitelist()
def get_all_roles(arg=None):
"""return all roles"""
return [r[0] for r in webnotes.conn.sql("""select name from tabRole
where name not in ('Administrator', 'Guest', 'All') order by name""")]
@webnotes.whitelist()
def get_user_roles(arg=None):
"""get roles for a user"""
return webnotes.get_roles(webnotes.form_dict['uid'])
@webnotes.whitelist()
def get_perm_info(arg=None):
"""get permission info"""
return webnotes.conn.sql("""select parent, permlevel, `read`, `write`, submit,
cancel, amend from tabDocPerm where role=%s
and docstatus<2 order by parent, permlevel""",
webnotes.form_dict['role'], as_dict=1)
@webnotes.whitelist(allow_guest=True)
def update_password(new_password, key=None, old_password=None):
# verify old password
if key:
user = webnotes.conn.get_value("Profile", {"reset_password_key":key})
if not user:
return _("Cannot Update: Incorrect / Expired Link.")
elif old_password:
user = webnotes.session.user
if not webnotes.conn.sql("""select user from __Auth where password=password(%s)
and user=%s""", (old_password, user)):
return _("Cannot Update: Incorrect Password")
from webnotes.auth import _update_password
_update_password(user, new_password)
webnotes.conn.set_value("Profile", user, "reset_password_key", "")
return _("Password Updated")
@webnotes.whitelist(allow_guest=True)
def sign_up(email, full_name):
profile = webnotes.conn.get("Profile", {"email": email})
if profile:
if profile.disabled:
return _("Registered but disabled.")
else:
return _("Already Registered")
else:
if webnotes.conn.sql("""select count(*) from tabProfile where
TIMEDIFF(%s, modified) > '1:00:00' """, now())[0][0] > 200:
raise Exception, "Too Many New Profiles"
from webnotes.utils import random_string
profile = webnotes.bean({
"doctype":"Profile",
"email": email,
"first_name": full_name,
"enabled": 1,
"new_password": random_string(10),
"user_type": "Website User"
})
profile.ignore_permissions = True
profile.insert()
return _("Registration Details Emailed.")
@webnotes.whitelist(allow_guest=True)
def reset_password(user):
user = webnotes.form_dict.get('user', '')
if user in ["demo@erpnext.com", "Administrator"]:
return "Not allowed"
if webnotes.conn.sql("""select name from tabProfile where name=%s""", user):
# Hack!
webnotes.session["user"] = "Administrator"
profile = webnotes.bean("Profile", user)
profile.get_controller().reset_password()
return "Password reset details sent to your email."
else:
return "No such user (%s)" % user
def profile_query(doctype, txt, searchfield, start, page_len, filters):
from webnotes.widgets.reportview import get_match_cond
return webnotes.conn.sql("""select name, concat_ws(' ', first_name, middle_name, last_name)
from `tabProfile`
where ifnull(enabled, 0)=1
and docstatus < 2
and name not in ('Administrator', 'Guest')
and user_type != 'Website User'
and (%(key)s like "%(txt)s"
or concat_ws(' ', first_name, middle_name, last_name) like "%(txt)s")
%(mcond)s
order by
case when name like "%(txt)s" then 0 else 1 end,
case when concat_ws(' ', first_name, middle_name, last_name) like "%(txt)s"
then 0 else 1 end,
name asc
limit %(start)s, %(page_len)s""" % {'key': searchfield, 'txt': "%%%s%%" % txt,
'mcond':get_match_cond(doctype, searchfield), 'start': start, 'page_len': page_len})
def get_total_users():
"""Returns total no. of system users"""
return webnotes.conn.sql("""select count(*) from `tabProfile`
where enabled = 1 and user_type != 'Website User'
and name not in ('Administrator', 'Guest')""")[0][0]
def get_active_users():
"""Returns No. of system users who logged in, in the last 3 days"""
return webnotes.conn.sql("""select count(*) from `tabProfile`
where enabled = 1 and user_type != 'Website User'
and name not in ('Administrator', 'Guest')
and hour(timediff(now(), last_login)) < 72""")[0][0]
def get_website_users():
"""Returns total no. of website users"""
return webnotes.conn.sql("""select count(*) from `tabProfile`
where enabled = 1 and user_type = 'Website User'""")[0][0]
def get_active_website_users():
"""Returns No. of website users who logged in, in the last 3 days"""
return webnotes.conn.sql("""select count(*) from `tabProfile`
where enabled = 1 and user_type = 'Website User'
and hour(timediff(now(), last_login)) < 72""")[0][0]
| 33.773585 | 101 | 0.694204 | 2,077 | 14,320 | 4.64131 | 0.159846 | 0.039212 | 0.029668 | 0.026141 | 0.360996 | 0.286929 | 0.222614 | 0.191286 | 0.141286 | 0.118776 | 0 | 0.005497 | 0.161522 | 14,320 | 423 | 102 | 33.853428 | 0.797368 | 0.032332 | 0 | 0.201923 | 0 | 0 | 0.360928 | 0.01471 | 0 | 0 | 0 | 0.002364 | 0 | 0 | null | null | 0.115385 | 0.054487 | null | null | 0.032051 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d227debd1174576671e25f5c6b7ffec5525a686d | 30,607 | py | Python | binancechain/transaction_pb2.py | lmacken/binance-chain-python | 483e51394ebc9f9998f5248910ac7b7dff7198f9 | [
"MIT"
] | 22 | 2019-04-27T02:14:52.000Z | 2021-01-04T00:37:41.000Z | binancechain/transaction_pb2.py | redquantum/binance-chain-python | 483e51394ebc9f9998f5248910ac7b7dff7198f9 | [
"MIT"
] | 7 | 2019-04-28T20:57:49.000Z | 2021-09-03T03:39:22.000Z | binancechain/transaction_pb2.py | redquantum/binance-chain-python | 483e51394ebc9f9998f5248910ac7b7dff7198f9 | [
"MIT"
] | 9 | 2019-04-27T23:43:51.000Z | 2021-04-15T18:09:51.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: transaction.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='transaction.proto',
package='transaction',
syntax='proto3',
serialized_pb=_b('\n\x11transaction.proto\x12\x0btransaction\"U\n\x05StdTx\x12\x0c\n\x04msgs\x18\x01 \x03(\x0c\x12\x12\n\nsignatures\x18\x02 \x03(\x0c\x12\x0c\n\x04memo\x18\x03 \x01(\t\x12\x0e\n\x06source\x18\x04 \x01(\x03\x12\x0c\n\x04\x64\x61ta\x18\x05 \x01(\x0c\"\\\n\x0cStdSignature\x12\x0f\n\x07pub_key\x18\x01 \x01(\x0c\x12\x11\n\tsignature\x18\x02 \x01(\x0c\x12\x16\n\x0e\x61\x63\x63ount_number\x18\x03 \x01(\x03\x12\x10\n\x08sequence\x18\x04 \x01(\x03\"\x05\n\x03Msg\"\x8d\x01\n\x08NewOrder\x12\x0e\n\x06sender\x18\x01 \x01(\x0c\x12\n\n\x02id\x18\x02 \x01(\t\x12\x0e\n\x06symbol\x18\x03 \x01(\t\x12\x11\n\tordertype\x18\x04 \x01(\x03\x12\x0c\n\x04side\x18\x05 \x01(\x03\x12\r\n\x05price\x18\x06 \x01(\x03\x12\x10\n\x08quantity\x18\x07 \x01(\x03\x12\x13\n\x0btimeinforce\x18\x08 \x01(\x03\"<\n\x0b\x43\x61ncelOrder\x12\x0e\n\x06sender\x18\x01 \x01(\x0c\x12\x0e\n\x06symbol\x18\x02 \x01(\t\x12\r\n\x05refid\x18\x03 \x01(\t\"P\n\x04Send\x12\"\n\x06inputs\x18\x01 \x03(\x0b\x32\x12.transaction.Input\x12$\n\x07outputs\x18\x02 \x03(\x0b\x32\x13.transaction.Output\"&\n\x05Token\x12\r\n\x05\x64\x65nom\x18\x01 \x01(\t\x12\x0e\n\x06\x61mount\x18\x02 \x01(\x03\";\n\x05Input\x12\x0f\n\x07\x61\x64\x64ress\x18\x01 \x01(\x0c\x12!\n\x05\x63oins\x18\x02 \x03(\x0b\x32\x12.transaction.Token\"<\n\x06Output\x12\x0f\n\x07\x61\x64\x64ress\x18\x01 \x01(\x0c\x12!\n\x05\x63oins\x18\x02 \x03(\x0b\x32\x12.transaction.Token\"6\n\x06\x46reeze\x12\x0c\n\x04\x66rom\x18\x01 \x01(\x0c\x12\x0e\n\x06symbol\x18\x02 \x01(\t\x12\x0e\n\x06\x61mount\x18\x03 \x01(\x03\"8\n\x08Unfreeze\x12\x0c\n\x04\x66rom\x18\x01 \x01(\x0c\x12\x0e\n\x06symbol\x18\x02 \x01(\t\x12\x0e\n\x06\x61mount\x18\x03 \x01(\x03\"S\n\x04Vote\x12\x13\n\x0bproposal_id\x18\x01 \x01(\x03\x12\r\n\x05voter\x18\x02 \x01(\x0c\x12\'\n\x06option\x18\x03 \x01(\x0e\x32\x17.transaction.VoteOption\"[\n\x05Issue\x12\x0c\n\x04\x66rom\x18\x01 \x01(\x0c\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\x0e\n\x06symbol\x18\x03 \x01(\t\x12\x14\n\x0ctotal_supply\x18\x04 \x01(\x03\x12\x10\n\x08mintable\x18\x05 \x01(\x08\"4\n\x04Mint\x12\x0c\n\x04\x66rom\x18\x01 \x01(\x0c\x12\x0e\n\x06symbol\x18\x02 \x01(\t\x12\x0e\n\x06\x61mount\x18\x03 \x01(\x03\"4\n\x04\x42urn\x12\x0c\n\x04\x66rom\x18\x01 \x01(\x0c\x12\x0e\n\x06symbol\x18\x02 \x01(\t\x12\x0e\n\x06\x61mount\x18\x03 \x01(\x03*G\n\nVoteOption\x12\x0b\n\x07Unknown\x10\x00\x12\x07\n\x03Yes\x10\x01\x12\x0b\n\x07\x41\x62stain\x10\x02\x12\x06\n\x02No\x10\x03\x12\x0e\n\nNoWithVeto\x10\x04\x62\x06proto3')
)
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
_VOTEOPTION = _descriptor.EnumDescriptor(
name='VoteOption',
full_name='transaction.VoteOption',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='Unknown', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='Yes', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='Abstain', index=2, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='No', index=3, number=3,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NoWithVeto', index=4, number=4,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1073,
serialized_end=1144,
)
_sym_db.RegisterEnumDescriptor(_VOTEOPTION)
VoteOption = enum_type_wrapper.EnumTypeWrapper(_VOTEOPTION)
Unknown = 0
Yes = 1
Abstain = 2
No = 3
NoWithVeto = 4
_STDTX = _descriptor.Descriptor(
name='StdTx',
full_name='transaction.StdTx',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='msgs', full_name='transaction.StdTx.msgs', index=0,
number=1, type=12, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='signatures', full_name='transaction.StdTx.signatures', index=1,
number=2, type=12, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='memo', full_name='transaction.StdTx.memo', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='source', full_name='transaction.StdTx.source', index=3,
number=4, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='data', full_name='transaction.StdTx.data', index=4,
number=5, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=34,
serialized_end=119,
)
_STDSIGNATURE = _descriptor.Descriptor(
name='StdSignature',
full_name='transaction.StdSignature',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='pub_key', full_name='transaction.StdSignature.pub_key', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='signature', full_name='transaction.StdSignature.signature', index=1,
number=2, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='account_number', full_name='transaction.StdSignature.account_number', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='sequence', full_name='transaction.StdSignature.sequence', index=3,
number=4, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=121,
serialized_end=213,
)
_MSG = _descriptor.Descriptor(
name='Msg',
full_name='transaction.Msg',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=215,
serialized_end=220,
)
_NEWORDER = _descriptor.Descriptor(
name='NewOrder',
full_name='transaction.NewOrder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sender', full_name='transaction.NewOrder.sender', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='id', full_name='transaction.NewOrder.id', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.NewOrder.symbol', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='ordertype', full_name='transaction.NewOrder.ordertype', index=3,
number=4, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='side', full_name='transaction.NewOrder.side', index=4,
number=5, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='price', full_name='transaction.NewOrder.price', index=5,
number=6, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='quantity', full_name='transaction.NewOrder.quantity', index=6,
number=7, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='timeinforce', full_name='transaction.NewOrder.timeinforce', index=7,
number=8, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=223,
serialized_end=364,
)
_CANCELORDER = _descriptor.Descriptor(
name='CancelOrder',
full_name='transaction.CancelOrder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='sender', full_name='transaction.CancelOrder.sender', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.CancelOrder.symbol', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='refid', full_name='transaction.CancelOrder.refid', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=366,
serialized_end=426,
)
_SEND = _descriptor.Descriptor(
name='Send',
full_name='transaction.Send',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='inputs', full_name='transaction.Send.inputs', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='outputs', full_name='transaction.Send.outputs', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=428,
serialized_end=508,
)
_TOKEN = _descriptor.Descriptor(
name='Token',
full_name='transaction.Token',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='denom', full_name='transaction.Token.denom', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='amount', full_name='transaction.Token.amount', index=1,
number=2, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=510,
serialized_end=548,
)
_INPUT = _descriptor.Descriptor(
name='Input',
full_name='transaction.Input',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='address', full_name='transaction.Input.address', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='coins', full_name='transaction.Input.coins', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=550,
serialized_end=609,
)
_OUTPUT = _descriptor.Descriptor(
name='Output',
full_name='transaction.Output',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='address', full_name='transaction.Output.address', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='coins', full_name='transaction.Output.coins', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=611,
serialized_end=671,
)
_FREEZE = _descriptor.Descriptor(
name='Freeze',
full_name='transaction.Freeze',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='from', full_name='transaction.Freeze.from', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.Freeze.symbol', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='amount', full_name='transaction.Freeze.amount', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=673,
serialized_end=727,
)
_UNFREEZE = _descriptor.Descriptor(
name='Unfreeze',
full_name='transaction.Unfreeze',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='from', full_name='transaction.Unfreeze.from', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.Unfreeze.symbol', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='amount', full_name='transaction.Unfreeze.amount', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=729,
serialized_end=785,
)
_VOTE = _descriptor.Descriptor(
name='Vote',
full_name='transaction.Vote',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='proposal_id', full_name='transaction.Vote.proposal_id', index=0,
number=1, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='voter', full_name='transaction.Vote.voter', index=1,
number=2, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='option', full_name='transaction.Vote.option', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=787,
serialized_end=870,
)
_ISSUE = _descriptor.Descriptor(
name='Issue',
full_name='transaction.Issue',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='from', full_name='transaction.Issue.from', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='name', full_name='transaction.Issue.name', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.Issue.symbol', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='total_supply', full_name='transaction.Issue.total_supply', index=3,
number=4, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mintable', full_name='transaction.Issue.mintable', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=872,
serialized_end=963,
)
_MINT = _descriptor.Descriptor(
name='Mint',
full_name='transaction.Mint',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='from', full_name='transaction.Mint.from', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.Mint.symbol', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='amount', full_name='transaction.Mint.amount', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=965,
serialized_end=1017,
)
_BURN = _descriptor.Descriptor(
name='Burn',
full_name='transaction.Burn',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='from', full_name='transaction.Burn.from', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='symbol', full_name='transaction.Burn.symbol', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='amount', full_name='transaction.Burn.amount', index=2,
number=3, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1019,
serialized_end=1071,
)
_SEND.fields_by_name['inputs'].message_type = _INPUT
_SEND.fields_by_name['outputs'].message_type = _OUTPUT
_INPUT.fields_by_name['coins'].message_type = _TOKEN
_OUTPUT.fields_by_name['coins'].message_type = _TOKEN
_VOTE.fields_by_name['option'].enum_type = _VOTEOPTION
DESCRIPTOR.message_types_by_name['StdTx'] = _STDTX
DESCRIPTOR.message_types_by_name['StdSignature'] = _STDSIGNATURE
DESCRIPTOR.message_types_by_name['Msg'] = _MSG
DESCRIPTOR.message_types_by_name['NewOrder'] = _NEWORDER
DESCRIPTOR.message_types_by_name['CancelOrder'] = _CANCELORDER
DESCRIPTOR.message_types_by_name['Send'] = _SEND
DESCRIPTOR.message_types_by_name['Token'] = _TOKEN
DESCRIPTOR.message_types_by_name['Input'] = _INPUT
DESCRIPTOR.message_types_by_name['Output'] = _OUTPUT
DESCRIPTOR.message_types_by_name['Freeze'] = _FREEZE
DESCRIPTOR.message_types_by_name['Unfreeze'] = _UNFREEZE
DESCRIPTOR.message_types_by_name['Vote'] = _VOTE
DESCRIPTOR.message_types_by_name['Issue'] = _ISSUE
DESCRIPTOR.message_types_by_name['Mint'] = _MINT
DESCRIPTOR.message_types_by_name['Burn'] = _BURN
DESCRIPTOR.enum_types_by_name['VoteOption'] = _VOTEOPTION
StdTx = _reflection.GeneratedProtocolMessageType('StdTx', (_message.Message,), dict(
DESCRIPTOR = _STDTX,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.StdTx)
))
_sym_db.RegisterMessage(StdTx)
StdSignature = _reflection.GeneratedProtocolMessageType('StdSignature', (_message.Message,), dict(
DESCRIPTOR = _STDSIGNATURE,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.StdSignature)
))
_sym_db.RegisterMessage(StdSignature)
Msg = _reflection.GeneratedProtocolMessageType('Msg', (_message.Message,), dict(
DESCRIPTOR = _MSG,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Msg)
))
_sym_db.RegisterMessage(Msg)
NewOrder = _reflection.GeneratedProtocolMessageType('NewOrder', (_message.Message,), dict(
DESCRIPTOR = _NEWORDER,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.NewOrder)
))
_sym_db.RegisterMessage(NewOrder)
CancelOrder = _reflection.GeneratedProtocolMessageType('CancelOrder', (_message.Message,), dict(
DESCRIPTOR = _CANCELORDER,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.CancelOrder)
))
_sym_db.RegisterMessage(CancelOrder)
Send = _reflection.GeneratedProtocolMessageType('Send', (_message.Message,), dict(
DESCRIPTOR = _SEND,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Send)
))
_sym_db.RegisterMessage(Send)
Token = _reflection.GeneratedProtocolMessageType('Token', (_message.Message,), dict(
DESCRIPTOR = _TOKEN,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Token)
))
_sym_db.RegisterMessage(Token)
Input = _reflection.GeneratedProtocolMessageType('Input', (_message.Message,), dict(
DESCRIPTOR = _INPUT,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Input)
))
_sym_db.RegisterMessage(Input)
Output = _reflection.GeneratedProtocolMessageType('Output', (_message.Message,), dict(
DESCRIPTOR = _OUTPUT,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Output)
))
_sym_db.RegisterMessage(Output)
Freeze = _reflection.GeneratedProtocolMessageType('Freeze', (_message.Message,), dict(
DESCRIPTOR = _FREEZE,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Freeze)
))
_sym_db.RegisterMessage(Freeze)
Unfreeze = _reflection.GeneratedProtocolMessageType('Unfreeze', (_message.Message,), dict(
DESCRIPTOR = _UNFREEZE,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Unfreeze)
))
_sym_db.RegisterMessage(Unfreeze)
Vote = _reflection.GeneratedProtocolMessageType('Vote', (_message.Message,), dict(
DESCRIPTOR = _VOTE,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Vote)
))
_sym_db.RegisterMessage(Vote)
Issue = _reflection.GeneratedProtocolMessageType('Issue', (_message.Message,), dict(
DESCRIPTOR = _ISSUE,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Issue)
))
_sym_db.RegisterMessage(Issue)
Mint = _reflection.GeneratedProtocolMessageType('Mint', (_message.Message,), dict(
DESCRIPTOR = _MINT,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Mint)
))
_sym_db.RegisterMessage(Mint)
Burn = _reflection.GeneratedProtocolMessageType('Burn', (_message.Message,), dict(
DESCRIPTOR = _BURN,
__module__ = 'transaction_pb2'
# @@protoc_insertion_point(class_scope:transaction.Burn)
))
_sym_db.RegisterMessage(Burn)
# @@protoc_insertion_point(module_scope)
| 34.236018 | 2,481 | 0.717091 | 3,941 | 30,607 | 5.304999 | 0.070287 | 0.063137 | 0.058162 | 0.051562 | 0.696944 | 0.659014 | 0.658966 | 0.644043 | 0.638638 | 0.592624 | 0 | 0.045312 | 0.144836 | 30,607 | 893 | 2,482 | 34.274356 | 0.753458 | 0.032999 | 0 | 0.691554 | 1 | 0.003672 | 0.154106 | 0.108361 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.008568 | 0 | 0.008568 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d22a9c09fd82acef5ca72bbd2931ab6a01a4d35e | 737 | py | Python | src/backend/backend/profiles/models.py | jordimart/findmenu-ng-django | 14606889f8b8a1aeb49c87128de6efe084377365 | [
"MIT"
] | null | null | null | src/backend/backend/profiles/models.py | jordimart/findmenu-ng-django | 14606889f8b8a1aeb49c87128de6efe084377365 | [
"MIT"
] | null | null | null | src/backend/backend/profiles/models.py | jordimart/findmenu-ng-django | 14606889f8b8a1aeb49c87128de6efe084377365 | [
"MIT"
] | null | null | null | from django.db import models
from ..core.models import TimestampedModel
from ..authentication.models import User
class Profile(TimestampedModel):
user = models.OneToOneField(User, on_delete=models.CASCADE)
bio = models.TextField(blank=True,)
image = models.URLField(blank=True)
city = models.CharField(blank=True, max_length=40)
name = models.CharField(blank=True, max_length=40)
first_name = models.CharField(blank=True, max_length=40)
last_name = models.CharField(blank=True, max_length=40)
date_birth = models.CharField(blank=True, max_length=40)
friends = models.IntegerField(default=0)
restaurants = models.IntegerField(default=0)
def __str__(self):
return self.user.username
| 35.095238 | 63 | 0.744912 | 96 | 737 | 5.583333 | 0.427083 | 0.117537 | 0.186567 | 0.223881 | 0.348881 | 0.348881 | 0.348881 | 0.218284 | 0 | 0 | 0 | 0.019139 | 0.149254 | 737 | 20 | 64 | 36.85 | 0.835726 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0.0625 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d23fc75c6f45d0e523326c4b77609e03009b7065 | 1,681 | py | Python | vbclient/common/utils.py | huaweicloudsdk/osc_vbs | 98834c9425af3e8bff6e2db4602c3f7bd72829bd | [
"Apache-2.0"
] | 3 | 2017-01-23T03:36:00.000Z | 2021-01-30T14:00:34.000Z | vbclient/common/utils.py | huaweicloudsdk/osc_vbs | 98834c9425af3e8bff6e2db4602c3f7bd72829bd | [
"Apache-2.0"
] | 3 | 2017-02-23T01:52:02.000Z | 2017-02-25T07:55:27.000Z | vbclient/common/utils.py | huaweicloudsdk/osc_vbs | 98834c9425af3e8bff6e2db4602c3f7bd72829bd | [
"Apache-2.0"
] | 1 | 2017-09-18T22:04:54.000Z | 2017-09-18T22:04:54.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
#
from datetime import datetime
def get_id(obj):
"""Get obj's uuid or object itself if no uuid
Abstracts the common pattern of allowing both an object or
an object's ID (UUID) as a parameter when dealing with relationships.
"""
try:
return obj.uuid or obj['uuid']
except AttributeError:
return obj
def remove_empty_from_dict(original):
"""get a new dict which removes keys with empty values
:param dict original: original dict, should not be None
:return: a new dict which removes keys with empty values
"""
return dict((k, v) for k, v in original.iteritems() if v)
def str_range(start, end):
"""get range with string type"""
return [str(i) for i in range(start, end)]
def format_time(time_in_long, _format='%Y-%m-%d %H:%M:%S'):
if time_in_long:
# if time-long is with mill seconds
if time_in_long > pow(10, 12):
time_in_long /= 1000
timestamp = datetime.fromtimestamp(time_in_long)
return timestamp.strftime(_format)
else:
return ''
| 31.716981 | 77 | 0.679952 | 257 | 1,681 | 4.377432 | 0.509728 | 0.053333 | 0.044444 | 0.028444 | 0.069333 | 0.069333 | 0.069333 | 0.069333 | 0.069333 | 0 | 0 | 0.01007 | 0.232005 | 1,681 | 52 | 78 | 32.326923 | 0.861348 | 0.584771 | 0 | 0 | 0 | 0 | 0.03271 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.055556 | 0 | 0.611111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d24dbf01c99b22cb426f083f92b5419b9199266f | 80 | py | Python | study-notes/geekbang.org/视频课/零基础学Python/06 | 变量的定义和常用操作/network_bandwidth.py | coderZsq/coderZsq.practice.data | 234cf757219b9e46082f883f9bd19088a65a771e | [
"MIT"
] | 3 | 2019-08-02T03:53:03.000Z | 2020-03-16T07:13:22.000Z | study-notes/geekbang.org/视频课/零基础学Python/06 | 变量的定义和常用操作/network_bandwidth.py | coderZsq/coderZsq.practice.data | 234cf757219b9e46082f883f9bd19088a65a771e | [
"MIT"
] | 2 | 2019-05-24T11:52:31.000Z | 2019-07-29T02:39:22.000Z | study-notes/geekbang.org/视频课/零基础学Python/06 | 变量的定义和常用操作/network_bandwidth.py | coderZsq/coderZsq.practice.data | 234cf757219b9e46082f883f9bd19088a65a771e | [
"MIT"
] | 1 | 2019-08-06T07:51:20.000Z | 2019-08-06T07:51:20.000Z | # 网络带宽计算
# print(100 / 8)
bandwidth = 100
ratio = 8
print(bandwidth / ratio)
| 8.888889 | 24 | 0.65 | 11 | 80 | 4.727273 | 0.545455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 0.225 | 80 | 8 | 25 | 10 | 0.709677 | 0.2625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d2597830301608743775c41c9c723258aa5697ab | 577 | py | Python | prac.py | mayanks888/QATM_pytorch_ros2 | 936ff265e4c0f0cbfa63855e07a95e15b2b0e336 | [
"MIT"
] | null | null | null | prac.py | mayanks888/QATM_pytorch_ros2 | 936ff265e4c0f0cbfa63855e07a95e15b2b0e336 | [
"MIT"
] | null | null | null | prac.py | mayanks888/QATM_pytorch_ros2 | 936ff265e4c0f0cbfa63855e07a95e15b2b0e336 | [
"MIT"
] | null | null | null | import pandas as pd
import cv2
bbox_info=[1449, 538, 1479 ,605]
temp_path='/home/mayank_sati/Desktop/one_Shot_learning/image_xs/1566366024136726396_369144.535422_4321493.08002.jpg'
img = cv2.imread(temp_path)
frame = img[int(bbox_info[1]):int(bbox_info[3]), int(bbox_info[0]):int(bbox_info[3])]
frame = img[(bbox_info[1]):(bbox_info[3]), (bbox_info[0]):(bbox_info[3])]
xmin=int(bbox_info[0])
xmax=int(bbox_info[2])
ymin=int(bbox_info[1])
ymax=int(bbox_info[3])
# crop_img = img[y:y+h, x:x+w]
crop_img = img[538:605, 1449:1479]
crop_img1 = img[ymin:ymax, xmin:xmax]
print(1) | 30.368421 | 116 | 0.736568 | 111 | 577 | 3.612613 | 0.423423 | 0.259352 | 0.219451 | 0.089776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162921 | 0.074523 | 577 | 19 | 117 | 30.368421 | 0.588015 | 0.048527 | 0 | 0 | 0 | 0 | 0.189781 | 0.189781 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.071429 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d2668ff2ee2f27255e785c33647e9bbd3ba562fb | 1,923 | py | Python | exam_settings.py | BjornFJohansson/molbio_test_generator | ee96873b2c4c4930834729a82d1d4097e2f54943 | [
"BSD-2-Clause"
] | null | null | null | exam_settings.py | BjornFJohansson/molbio_test_generator | ee96873b2c4c4930834729a82d1d4097e2f54943 | [
"BSD-2-Clause"
] | null | null | null | exam_settings.py | BjornFJohansson/molbio_test_generator | ee96873b2c4c4930834729a82d1d4097e2f54943 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
student_list_file = "alunos.txt"
shelf_file = "shelf.shelf"
included_files_location = u"/home/bjorn/Dropbox/python_packages/bio_info_questions/bio_info_questions/files_to_be_included"
password_to_open_exam = u"zyxpep93"
password_to_see_correct_exam = u"LWQsGHefywehfLSFKG6Q3W"
exam_folder = "./empty_exams"
start_separator = u"\n=========== start of exame =====================================================\n"
question_separator = u"\n*********** Question {} ***********\n"
endseparator = u"\n========== end of exame ========================================================"
header = u'''================================================================================
Genética Molecular e Bioinformática 2704N9 | Licenciatura em Bioquímica
Nome {name}
Número mecanográfico (mec) {mec}
Exam date 2014-06-25|Wednesday June 25|Week 25
Unix time stamp {timestamp}
================================================================================
Instruções para o exame:
Este exame tem {number_of_questions} questões.
Deve responder às questões dentro neste documento.
Preencha a sua resposta, substituindo os simbolos "?".
Por favor NÂO MODIFIQUE MAIS NADA no exame, será corrigido automaticamente.
em particular, não modifique ou remova o QuestionID, que serve para identificar
as respostas certas.
Instructions for completing the exam:
This exam has {number_of_questions} questions.
You shuld respond to these questions within this document.
Fill in your answers where you find the "?" symbol(s) in each question.
Please do not edit anything else, as this exam will be automatically corrected.
In particular, do NOT modify the QuestionID as this is used for identifying the
correct answer.
'''
| 46.902439 | 131 | 0.590224 | 216 | 1,923 | 5.125 | 0.671296 | 0.00542 | 0.028907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014139 | 0.190848 | 1,923 | 40 | 132 | 48.075 | 0.697301 | 0.021841 | 0 | 0 | 0 | 0 | 0.808409 | 0.228313 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.064516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d26ffb29c1b105e644396bb04783df94f4f8ada8 | 129 | py | Python | venv/lib/python3.6/site-packages/pylint/test/extensions/data/bad_builtin.py | aitoehigie/britecore_flask | eef1873dbe6b2cc21f770bc6dec783007ae4493b | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/pylint/test/extensions/data/bad_builtin.py | aitoehigie/britecore_flask | eef1873dbe6b2cc21f770bc6dec783007ae4493b | [
"MIT"
] | 1 | 2021-06-01T23:32:38.000Z | 2021-06-01T23:32:38.000Z | venv/lib/python3.6/site-packages/pylint/test/extensions/data/bad_builtin.py | aitoehigie/britecore_flask | eef1873dbe6b2cc21f770bc6dec783007ae4493b | [
"MIT"
] | null | null | null | # pylint: disable=missing-docstring
TEST = map(str, (1, 2, 3)) # [bad-builtin]
TEST1 = filter(str, (1, 2, 3)) # [bad-builtin]
| 25.8 | 47 | 0.612403 | 20 | 129 | 3.95 | 0.7 | 0.101266 | 0.126582 | 0.151899 | 0.405063 | 0.405063 | 0 | 0 | 0 | 0 | 0 | 0.065421 | 0.170543 | 129 | 4 | 48 | 32.25 | 0.672897 | 0.472868 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d2714b490faee527bf61baefc249241f4ebbdaf5 | 148 | py | Python | tests/fixtures/test_inline_graphics/content_01_expected.py | elifesciences/elife-tools | ee345bf0e6703ef0f7e718355e85730abbdfd117 | [
"MIT"
] | 9 | 2015-04-16T08:13:31.000Z | 2020-05-18T14:03:06.000Z | tests/fixtures/test_inline_graphics/content_01_expected.py | elifesciences/elife-tools | ee345bf0e6703ef0f7e718355e85730abbdfd117 | [
"MIT"
] | 310 | 2015-02-11T00:30:09.000Z | 2021-07-14T23:58:50.000Z | tests/fixtures/test_inline_graphics/content_01_expected.py | elifesciences/elife-tools | ee345bf0e6703ef0f7e718355e85730abbdfd117 | [
"MIT"
] | 9 | 2015-02-04T01:21:28.000Z | 2021-06-15T12:50:47.000Z | expected = [
{
"xlink_href": "elife00013inf001",
"type": "inline-graphic",
"position": 1,
"ordinal": 1,
}
]
| 16.444444 | 41 | 0.459459 | 11 | 148 | 6.090909 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106383 | 0.364865 | 148 | 8 | 42 | 18.5 | 0.606383 | 0 | 0 | 0 | 0 | 0 | 0.398649 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d27303be5165de1e6c544bf23f2ed85b45e0b9ab | 1,017 | py | Python | vnpy_esunny/api/generator/esunny_md_commen_constant.py | Edanflame/vnpy_esunny | 71e4067911793533cd2947535163dbceb011b102 | [
"MIT"
] | null | null | null | vnpy_esunny/api/generator/esunny_md_commen_constant.py | Edanflame/vnpy_esunny | 71e4067911793533cd2947535163dbceb011b102 | [
"MIT"
] | null | null | null | vnpy_esunny/api/generator/esunny_md_commen_constant.py | Edanflame/vnpy_esunny | 71e4067911793533cd2947535163dbceb011b102 | [
"MIT"
] | 4 | 2021-07-28T06:52:13.000Z | 2022-03-30T03:39:16.000Z | APIYNFLAG_YES = "Y"
APIYNFLAG_NO = "N"
APILOGLEVEL_NONE = "N"
APILOGLEVEL_ERROR = "E"
APILOGLEVEL_WARNING = "W"
APILOGLEVEL_DEBUG = "D"
TAPI_COMMODITY_TYPE_NONE = "N"
TAPI_COMMODITY_TYPE_SPOT = "P"
TAPI_COMMODITY_TYPE_FUTURES = "F"
TAPI_COMMODITY_TYPE_OPTION = "O"
TAPI_COMMODITY_TYPE_SPREAD_MONTH = "S"
TAPI_COMMODITY_TYPE_SPREAD_COMMODITY = "M"
TAPI_COMMODITY_TYPE_BUL = "U"
TAPI_COMMODITY_TYPE_BER = "E"
TAPI_COMMODITY_TYPE_STD = "D"
TAPI_COMMODITY_TYPE_STG = "G"
TAPI_COMMODITY_TYPE_PRT = "R"
TAPI_COMMODITY_TYPE_BLT = "L"
TAPI_COMMODITY_TYPE_BRT = "Q"
TAPI_COMMODITY_TYPE_DIRECTFOREX = "X"
TAPI_COMMODITY_TYPE_INDIRECTFOREX = "I"
TAPI_COMMODITY_TYPE_CROSSFOREX = "C"
TAPI_COMMODITY_TYPE_INDEX = "Z"
TAPI_COMMODITY_TYPE_STOCK = "T"
TAPI_COMMODITY_TYPE_SPOT_TRADINGDEFER = "Y"
TAPI_COMMODITY_TYPE_FUTURE_LOCK = "J"
TAPI_COMMODITY_TYPE_EFP = "A"
TAPI_COMMODITY_TYPE_TAS = "B"
TAPI_CALLPUT_FLAG_CALL = "C"
TAPI_CALLPUT_FLAG_PUT = "P"
TAPI_CALLPUT_FLAG_NONE = "N"
TAPI_AUTHTYPE_DIRECT = "1"
TAPI_AUTHTYPE_RELAY = "2"
| 29.911765 | 43 | 0.80531 | 155 | 1,017 | 4.709677 | 0.419355 | 0.391781 | 0.512329 | 0.049315 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002179 | 0.097345 | 1,017 | 33 | 44 | 30.818182 | 0.793028 | 0 | 0 | 0 | 0 | 0 | 0.032448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d2777a03ee938020381699cf3c583a8569fa44ce | 638 | py | Python | tests/test_admin.py | cperrin88/django-treenode | 48a037d6eb87ea766e8812c9918ae74375b9e4ea | [
"MIT"
] | 259 | 2018-05-03T08:30:56.000Z | 2022-03-30T12:57:12.000Z | tests/test_admin.py | cperrin88/django-treenode | 48a037d6eb87ea766e8812c9918ae74375b9e4ea | [
"MIT"
] | 47 | 2018-05-09T07:50:56.000Z | 2022-02-11T22:16:03.000Z | tests/test_admin.py | cperrin88/django-treenode | 48a037d6eb87ea766e8812c9918ae74375b9e4ea | [
"MIT"
] | 23 | 2018-05-18T07:14:11.000Z | 2022-02-11T21:09:34.000Z | # -*- coding: utf-8 -*-
from django.conf import settings
from django.contrib.staticfiles import finders
from django.test import TestCase
# from treenode.admin import TreeNodeModelAdmin
class TreeNodeAdminTestCase(TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def assertStaticFile(self, path):
result = finders.find(path)
self.assertTrue(result != None)
def test_staticfiles(self):
if 'treenode' not in settings.INSTALLED_APPS:
return
self.assertStaticFile('treenode/css/treenode.css')
self.assertStaticFile('treenode/js/treenode.js')
| 23.62963 | 58 | 0.684953 | 71 | 638 | 6.126761 | 0.521127 | 0.068966 | 0.050575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002012 | 0.221003 | 638 | 26 | 59 | 24.538462 | 0.873239 | 0.105016 | 0 | 0.125 | 0 | 0 | 0.098592 | 0.084507 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.25 | false | 0.125 | 0.1875 | 0 | 0.5625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d283b0f35605f21c6517e9dd272d8354544105aa | 1,053 | py | Python | biller/charges.py | trickeydan/biller | 52c7c586ff76f7556a449ff7c0e1ec488fd47f78 | [
"MIT"
] | null | null | null | biller/charges.py | trickeydan/biller | 52c7c586ff76f7556a449ff7c0e1ec488fd47f78 | [
"MIT"
] | null | null | null | biller/charges.py | trickeydan/biller | 52c7c586ff76f7556a449ff7c0e1ec488fd47f78 | [
"MIT"
] | null | null | null | import enum
from .payment import PaymentAmount
class ChargeType(enum.Enum):
STATIC = 'static'
VARIABLE = 'variable'
class Charge:
def __init__(self, data):
self.data = data
@property
def description(self):
return self.data['description']
@property
def type(self):
return ChargeType(self.data['type'])
@property
def amount(self): # The total amount
if 'cost' in self.data:
return PaymentAmount(self.data['cost'])
if 'unit_cost' in self.data and 'unit_amount' in self.data:
return PaymentAmount(self.data['unit_cost'] * self.data['unit_amount'])
raise ValueError('Bad Cost info on Charge')
class ChargeList:
def __init__(self, data):
self.data = data
def __iter__(self):
self.position = -1 # Nasty Hack ALERT!
return self
def __next__(self):
self.position += 1
if self.position >= len(self.data):
raise StopIteration
return Charge(self.data[self.position]) | 21.489796 | 83 | 0.615385 | 126 | 1,053 | 4.984127 | 0.325397 | 0.178344 | 0.057325 | 0.047771 | 0.203822 | 0.203822 | 0.203822 | 0 | 0 | 0 | 0 | 0.002632 | 0.278253 | 1,053 | 49 | 84 | 21.489796 | 0.823684 | 0.032289 | 0 | 0.21875 | 0 | 0 | 0.098328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.21875 | false | 0 | 0.0625 | 0.0625 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
962b61904ed722e7dc15d9be92448889fbeea748 | 985 | py | Python | clist/migrations/0051_auto_20201008_2322.py | horacexd/clist | 9759dfea97b86514bec9825d2430abc36decacf0 | [
"Apache-2.0"
] | 166 | 2019-05-16T23:46:08.000Z | 2022-03-31T05:20:23.000Z | clist/migrations/0051_auto_20201008_2322.py | horacexd/clist | 9759dfea97b86514bec9825d2430abc36decacf0 | [
"Apache-2.0"
] | 92 | 2020-01-18T22:51:53.000Z | 2022-03-12T01:23:57.000Z | clist/migrations/0051_auto_20201008_2322.py | VadVergasov/clist | 4afcdfe88250d224043b28efa511749347cec71c | [
"Apache-2.0"
] | 23 | 2020-02-09T17:38:43.000Z | 2021-12-09T14:39:07.000Z | # Generated by Django 2.2.13 on 2020-10-10 01:22
from django.db import migrations
import pyclist.indexes
class Migration(migrations.Migration):
dependencies = [
('clist', '0050_resource_short_host'),
]
operations = [
migrations.AddIndex(
model_name='contest',
index=pyclist.indexes.GistIndexTrgrmOps(fields=['title'], name='clist_conte_title_a56b78_gist'),
),
migrations.AddIndex(
model_name='problem',
index=pyclist.indexes.GistIndexTrgrmOps(fields=['name'], name='clist_probl_name_e9002d_gist'),
),
migrations.AddIndex(
model_name='resource',
index=pyclist.indexes.GistIndexTrgrmOps(fields=['host'], name='clist_resou_host_7b7aef_gist'),
),
migrations.AddIndex(
model_name='resource',
index=pyclist.indexes.GistIndexTrgrmOps(fields=['short_host'], name='clist_resou_short_h_a8f6a1_gist'),
),
]
| 31.774194 | 115 | 0.641624 | 101 | 985 | 6.009901 | 0.425743 | 0.115321 | 0.151565 | 0.177924 | 0.456343 | 0.266886 | 0.266886 | 0.266886 | 0.266886 | 0.266886 | 0 | 0.044 | 0.238579 | 985 | 30 | 116 | 32.833333 | 0.765333 | 0.046701 | 0 | 0.416667 | 1 | 0 | 0.211313 | 0.149413 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.208333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
962fcc56a35724a97f2a956de837486ab520c1d6 | 900 | py | Python | tests/test_connection_handler.py | ajbeach2/drf-elasticsearch-dsl | 2b55a295ece0438d6dd0ac92e291d0a69deb66ca | [
"MIT"
] | 3 | 2017-12-27T01:10:53.000Z | 2019-04-12T02:11:41.000Z | tests/test_connection_handler.py | ajbeach2/drf-elasticsearch-dsl | 2b55a295ece0438d6dd0ac92e291d0a69deb66ca | [
"MIT"
] | 5 | 2020-06-05T17:49:44.000Z | 2021-06-10T20:35:59.000Z | tests/test_connection_handler.py | ajbeach2/drf-elasticsearch-dsl | 2b55a295ece0438d6dd0ac92e291d0a69deb66ca | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_drf-elasticsearch-dsl
------------
Tests for `drf-elasticsearch-dsl` connection_handler module.
"""
from django.test import TestCase
from drf_elasticsearch_dsl.connection_handler import connection_handler
from .search_indexes import ContactSerializerDocument
class TestConnectionHandler(TestCase):
def setUp(self):
self.documents = connection_handler.documents
self.contact_index = ContactSerializerDocument._doc_type.index
def test_documents(self):
self.assertEqual(self.documents[ContactSerializerDocument.model_label],
ContactSerializerDocument)
def test_get_index(self):
self.assertEqual(
connection_handler.get_index(
ContactSerializerDocument.model_label),
ContactSerializerDocument)
def tearDown(self):
pass
| 26.470588 | 79 | 0.71 | 87 | 900 | 7.137931 | 0.448276 | 0.136876 | 0.091787 | 0.093398 | 0.318841 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001391 | 0.201111 | 900 | 33 | 80 | 27.272727 | 0.862309 | 0.16 | 0 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 1 | 0.235294 | false | 0.058824 | 0.176471 | 0 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
96340d5b89ef9e69c7332ec3a6e79a6d4717a5b9 | 463 | py | Python | PythonBehave/flaskr/aynch_calculator.py | adamd1985/BDDArticle | be1f7fd67d8e195c31864622966ee88d3a2e257a | [
"Apache-2.0"
] | null | null | null | PythonBehave/flaskr/aynch_calculator.py | adamd1985/BDDArticle | be1f7fd67d8e195c31864622966ee88d3a2e257a | [
"Apache-2.0"
] | null | null | null | PythonBehave/flaskr/aynch_calculator.py | adamd1985/BDDArticle | be1f7fd67d8e195c31864622966ee88d3a2e257a | [
"Apache-2.0"
] | null | null | null | users_calculation = {}
def request_addition(user, num1, num2):
users_calcs = users_calculation.get(user)
if (users_calcs is None):
users_calcs = list()
users_calcs.append(num1+num2)
users_calculation[user] = users_calcs
def get_last_calculation(user):
users_calcs = users_calculation.get(user)
results = None
if (users_calcs is not None and len(users_calcs) > 0):
results = users_calcs.pop()
return results
| 21.045455 | 58 | 0.693305 | 62 | 463 | 4.919355 | 0.370968 | 0.295082 | 0.085246 | 0.170492 | 0.216393 | 0.216393 | 0 | 0 | 0 | 0 | 0 | 0.013736 | 0.213823 | 463 | 21 | 59 | 22.047619 | 0.824176 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
963cc86eb5bed9a3d4b71531b99f7a465359bd63 | 219 | py | Python | Curso Python/PythonExercicios/venv/ex014.py | marcos-saba/Cursos | 1c063392867e9ed86d141dad8861a2a35488b1c6 | [
"MIT"
] | null | null | null | Curso Python/PythonExercicios/venv/ex014.py | marcos-saba/Cursos | 1c063392867e9ed86d141dad8861a2a35488b1c6 | [
"MIT"
] | null | null | null | Curso Python/PythonExercicios/venv/ex014.py | marcos-saba/Cursos | 1c063392867e9ed86d141dad8861a2a35488b1c6 | [
"MIT"
] | null | null | null | print('*'*5, 'CONVERSOR DE TEMPERATURA', '*'*5)
temp = float(input('Informe a temperatura em °C: '))
f = temp*1.800 + 32
print(f'A temperatura de {temp:.1f}°C é equivalente a {f:.1f}°F.')
print('*'*10, '+++++', '*'*10)
| 36.5 | 66 | 0.589041 | 39 | 219 | 3.384615 | 0.538462 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073684 | 0.13242 | 219 | 5 | 67 | 43.8 | 0.605263 | 0 | 0 | 0 | 0 | 0 | 0.538813 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.6 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
963ce1e12af3b5f07cb91cc19d46b27cb1ede4c3 | 205 | py | Python | src/main/resources/docs/tests/W0223_3.py | h314to/codacy-pylint | 9d31567db6188e1b31ce0e1567998f64946502df | [
"Apache-2.0"
] | null | null | null | src/main/resources/docs/tests/W0223_3.py | h314to/codacy-pylint | 9d31567db6188e1b31ce0e1567998f64946502df | [
"Apache-2.0"
] | null | null | null | src/main/resources/docs/tests/W0223_3.py | h314to/codacy-pylint | 9d31567db6188e1b31ce0e1567998f64946502df | [
"Apache-2.0"
] | null | null | null | ##Patterns: W0223
import abc
class AbstractClass(metaclass=abc.ABCMeta):
@abc.abstractmethod
def abstract_method(self):
pass
##Err: W0223
class ConcreteClass(AbstractClass):
pass
| 12.8125 | 43 | 0.707317 | 22 | 205 | 6.545455 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 0.2 | 205 | 15 | 44 | 13.666667 | 0.829268 | 0.121951 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.285714 | 0.142857 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
963cf0ed50373c2a8e619b72ac73e40dbedde2c3 | 564 | py | Python | syspy/implementations/tests/test_source_executables.py | mrgarelli/PySys | f5e61b01ab43525b66f104ef3140b6d1c68e2ebc | [
"MIT"
] | 1 | 2019-09-02T17:18:26.000Z | 2019-09-02T17:18:26.000Z | syspy/implementations/tests/test_source_executables.py | mrgarelli/PySys | f5e61b01ab43525b66f104ef3140b6d1c68e2ebc | [
"MIT"
] | null | null | null | syspy/implementations/tests/test_source_executables.py | mrgarelli/PySys | f5e61b01ab43525b66f104ef3140b6d1c68e2ebc | [
"MIT"
] | null | null | null | import pytest
from mock import patch
from mock.mock import Mock
call = Mock()
from ..source_executables import remove_unwanted
with_unwanted_file = ['file1', '__pycache__', '__init__.py', 'file2', '.pytest_cache']
sources_only = ['file1', 'file2']
ignore_sources = ['__init__.py', '__pycache__', '.pytest_cache']
class TestRemoveUnwantedFiles:
def test_removes_init_py(self):
assert sources_only == remove_unwanted(with_unwanted_file, ignore_sources)
def test_removes_nothing(self):
assert sources_only == remove_unwanted(sources_only, ignore_sources)
| 28.2 | 86 | 0.780142 | 72 | 564 | 5.583333 | 0.402778 | 0.109453 | 0.089552 | 0.129353 | 0.288557 | 0.174129 | 0 | 0 | 0 | 0 | 0 | 0.007952 | 0.108156 | 564 | 19 | 87 | 29.684211 | 0.791252 | 0 | 0 | 0 | 0 | 0 | 0.159574 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.153846 | false | 0 | 0.307692 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
963eeb39055a52996eef8e68d646294ea0983119 | 248 | py | Python | api/config.py | juanhenaoparra/manage-my-agenda | 894e1de122fc1c1b6469cdf0c6290510ef8fba75 | [
"MIT"
] | null | null | null | api/config.py | juanhenaoparra/manage-my-agenda | 894e1de122fc1c1b6469cdf0c6290510ef8fba75 | [
"MIT"
] | null | null | null | api/config.py | juanhenaoparra/manage-my-agenda | 894e1de122fc1c1b6469cdf0c6290510ef8fba75 | [
"MIT"
] | null | null | null | from configparser import ConfigParser
from util.singleton import Singleton
class Config(metaclass=Singleton):
def __init__(self, path:str='instance/config.ini'):
self.path = path
self.data = ConfigParser()
self.data.read(self.path)
| 24.8 | 53 | 0.75 | 32 | 248 | 5.6875 | 0.53125 | 0.131868 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.145161 | 248 | 9 | 54 | 27.555556 | 0.858491 | 0 | 0 | 0 | 0 | 0 | 0.076613 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
96406ce744f78cbc06e19269aff121d6737167d8 | 1,292 | py | Python | src/kusto/azext_kusto/generated/_client_factory.py | tilnl/azure-cli-extensions | ef9946bbcde34bb51343554a8f2a8dedd1f7d44a | [
"MIT"
] | 1 | 2020-09-23T16:13:36.000Z | 2020-09-23T16:13:36.000Z | src/kusto/azext_kusto/generated/_client_factory.py | tilnl/azure-cli-extensions | ef9946bbcde34bb51343554a8f2a8dedd1f7d44a | [
"MIT"
] | null | null | null | src/kusto/azext_kusto/generated/_client_factory.py | tilnl/azure-cli-extensions | ef9946bbcde34bb51343554a8f2a8dedd1f7d44a | [
"MIT"
] | 1 | 2020-07-28T18:01:53.000Z | 2020-07-28T18:01:53.000Z | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
def cf_kusto(cli_ctx, *_):
from azure.cli.core.commands.client_factory import get_mgmt_service_client
from ..vendored_sdks.kusto import KustoManagementClient
return get_mgmt_service_client(cli_ctx, KustoManagementClient)
def cf_cluster(cli_ctx, *_):
return cf_kusto(cli_ctx).cluster
def cf_cluster_principal_assignment(cli_ctx, *_):
return cf_kusto(cli_ctx).cluster_principal_assignment
def cf_database(cli_ctx, *_):
return cf_kusto(cli_ctx).database
def cf_database_principal_assignment(cli_ctx, *_):
return cf_kusto(cli_ctx).database_principal_assignment
def cf_attached_database_configuration(cli_ctx, *_):
return cf_kusto(cli_ctx).attached_database_configuration
def cf_data_connection(cli_ctx, *_):
return cf_kusto(cli_ctx).data_connection
| 32.3 | 79 | 0.676471 | 155 | 1,292 | 5.277419 | 0.412903 | 0.102689 | 0.085575 | 0.111247 | 0.266504 | 0.266504 | 0.266504 | 0.205379 | 0.107579 | 0 | 0 | 0 | 0.144737 | 1,292 | 39 | 80 | 33.128205 | 0.740271 | 0.339783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4375 | false | 0 | 0.125 | 0.375 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
96408e0925342d0ec52d06db9b50cc177bd8326d | 581 | py | Python | tests/framework/Optimizers/BealeFailureRejection/bealeRejection.py | mattdon/raven | b5b4a9fc96cec37ca5fb3757c45653eec66522f1 | [
"Apache-2.0"
] | null | null | null | tests/framework/Optimizers/BealeFailureRejection/bealeRejection.py | mattdon/raven | b5b4a9fc96cec37ca5fb3757c45653eec66522f1 | [
"Apache-2.0"
] | null | null | null | tests/framework/Optimizers/BealeFailureRejection/bealeRejection.py | mattdon/raven | b5b4a9fc96cec37ca5fb3757c45653eec66522f1 | [
"Apache-2.0"
] | null | null | null | # from https://en.wikipedia.org/wiki/Test_functions_for_optimization
#
# takes input parameters x,y
# returns value in "ans"
# optimal minimum at f(3,0.5) = 0
# parameter range is -4.5 <= x,y <= 4.5
def evaluate(x,y):
return (1.5 - x + x*y)**2 + (2.25 - x + x*y*y)**2 + (2.625 - x + x*y*y*y)**2
def run(self,Inputs):
if abs(self.y - 0.24392555296) <= 0.00001 and abs(self.x - 0.247797586626) <= 0.00001 :
print("Expected failure for testing ... x:"+str(self.x)+" | y:"+str(self.y))
raise Exception("expected failure for testing")
self.ans = evaluate(self.x,self.y)
| 36.3125 | 89 | 0.635112 | 108 | 581 | 3.388889 | 0.490741 | 0.038251 | 0.02459 | 0.021858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117769 | 0.166954 | 581 | 15 | 90 | 38.733333 | 0.63843 | 0.320138 | 0 | 0 | 0 | 0 | 0.175258 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0 | 0.142857 | 0.428571 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
9642151d84b9bb0b36fcbd7232047ddd65fa63a0 | 318 | py | Python | resource.py | bigbase-media/ivf_blueprint_leon | 5521ffa380b9d4894dc85d43439542b5768ce14e | [
"MIT"
] | 27 | 2019-07-03T08:04:31.000Z | 2022-03-28T01:53:03.000Z | resource.py | bigbase-media/ivf-blueprint-leon | 5521ffa380b9d4894dc85d43439542b5768ce14e | [
"MIT"
] | 2 | 2019-08-20T11:47:02.000Z | 2020-05-13T07:45:19.000Z | resource.py | bigbase-media/ivf_blueprint_leon | 5521ffa380b9d4894dc85d43439542b5768ce14e | [
"MIT"
] | 11 | 2019-10-09T07:55:16.000Z | 2022-03-13T01:04:49.000Z | # -*- coding: utf-8 -*-
def create():
resourceDict = dict()
return resourceDict
def addOne(resourceDict, key, value):
if (len(key)<=2):
return 'err'
if (key[0:2]!="##"):
print("key must be like '##xx' : %s " % key)
return 'err'
resourceDict[key] = value
return 'ok'
| 18.705882 | 52 | 0.528302 | 39 | 318 | 4.307692 | 0.589744 | 0.178571 | 0.238095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017621 | 0.286164 | 318 | 16 | 53 | 19.875 | 0.722467 | 0.066038 | 0 | 0.181818 | 0 | 0 | 0.133106 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0 | 0 | 0.545455 | 0.090909 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
964782ea9dd672a7606d9dc430b201d9df1ebce1 | 19,196 | py | Python | game_models/ddqn_game_model.py | xqlin98/atari | d74f0fe604c9bf165a7678384451d36953fe9a60 | [
"MIT"
] | null | null | null | game_models/ddqn_game_model.py | xqlin98/atari | d74f0fe604c9bf165a7678384451d36953fe9a60 | [
"MIT"
] | null | null | null | game_models/ddqn_game_model.py | xqlin98/atari | d74f0fe604c9bf165a7678384451d36953fe9a60 | [
"MIT"
] | null | null | null | import numpy as np
import os
import random
import shutil
from statistics import mean
from tensorflow.python.keras.backend import dtype
from game_models.base_game_model import BaseGameModel
from convolutional_neural_network import ConvolutionalNeuralNetwork
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torchvision.transforms as T
from collections import namedtuple, deque
GAMMA = 0.99
MEMORY_SIZE = 900000
# BATCH_SIZE = 128
BATCH_SIZE = 128
TRAINING_FREQUENCY = 4
TARGET_NETWORK_UPDATE_FREQUENCY = 40000
# MODEL_PERSISTENCE_UPDATE_FREQUENCY = 10000
MODEL_PERSISTENCE_UPDATE_FREQUENCY = 5000
# REPLAY_START_SIZE = 50000
REPLAY_START_SIZE = 5000
# EXPLORATION_MAX = 1.0
EXPLORATION_MAX = 0.95
EXPLORATION_MIN = 0.1
EXPLORATION_TEST = 0.02
# EXPLORATION_STEPS = 850000
EXPLORATION_STEPS = 850000
EXPLORATION_DECAY = (EXPLORATION_MAX-EXPLORATION_MIN)/EXPLORATION_STEPS
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(device)
class DDQNGameModel(BaseGameModel):
def __init__(self, game_name, mode_name, input_shape, action_space, logger_path, model_path):
BaseGameModel.__init__(self, game_name,
mode_name,
logger_path,
input_shape,
action_space)
self.model_path = model_path
# self.ddqn = ConvolutionalNeuralNetwork(self.input_shape, action_space).model
# if os.path.isfile(self.model_path):
# self.ddqn.load_weights(self.model_path)
def _save_model(self):
self.ddqn.save_weights(self.model_path)
class DDQNSolver(DDQNGameModel):
def __init__(self, game_name, input_shape, action_space):
testing_model_path = "./output/neural_nets/" + game_name + "/ddqn/testing/model.h5"
assert os.path.exists(os.path.dirname(testing_model_path)), "No testing model in: " + str(testing_model_path)
DDQNGameModel.__init__(self,
game_name,
"DDQN testing",
input_shape,
action_space,
"./output/logs/" + game_name + "/ddqn/testing/" + self._get_date() + "/",
testing_model_path)
def move(self, state):
if np.random.rand() < EXPLORATION_TEST:
return random.randrange(self.action_space)
q_values = self.ddqn.predict(np.expand_dims(np.asarray(state).astype(np.float64), axis=0), batch_size=1)
return np.argmax(q_values[0])
# class DDQNTrainer(DDQNGameModel):
# def __init__(self, game_name, input_shape, action_space):
# DDQNGameModel.__init__(self,
# game_name,
# "DDQN training",
# input_shape,
# action_space,
# "./output/logs/" + game_name + "/ddqn/training/" + self._get_date() + "/",
# "./output/neural_nets/" + game_name + "/ddqn/" + self._get_date() + "/model.h5")
# if os.path.exists(os.path.dirname(self.model_path)):
# shutil.rmtree(os.path.dirname(self.model_path), ignore_errors=True)
# os.makedirs(os.path.dirname(self.model_path))
# self.ddqn_target = ConvolutionalNeuralNetwork(self.input_shape, action_space).model
# self._reset_target_network()
# self.epsilon = EXPLORATION_MAX
# self.memory = []
# def move(self, state):
# if np.random.rand() < self.epsilon or len(self.memory) < REPLAY_START_SIZE:
# return random.randrange(self.action_space)
# q_values = self.ddqn.predict(np.expand_dims(np.asarray(state).astype(np.float64), axis=0), batch_size=1)
# return np.argmax(q_values[0])
# def remember(self, current_state, action, reward, next_state, terminal):
# self.memory.append({"current_state": current_state,
# "action": action,
# "reward": reward,
# "next_state": next_state,
# "terminal": terminal})
# if len(self.memory) > MEMORY_SIZE:
# self.memory.pop(0)
# def step_update(self, total_step):
# if len(self.memory) < REPLAY_START_SIZE:
# return
# if total_step % TRAINING_FREQUENCY == 0:
# loss, accuracy, average_max_q = self._train()
# self.logger.add_loss(loss)
# self.logger.add_accuracy(accuracy)
# self.logger.add_q(average_max_q)
# self._update_epsilon()
# if total_step % MODEL_PERSISTENCE_UPDATE_FREQUENCY == 0:
# self._save_model()
# if total_step % TARGET_NETWORK_UPDATE_FREQUENCY == 0:
# self._reset_target_network()
# print('{{"metric": "epsilon", "value": {}}}'.format(self.epsilon))
# print('{{"metric": "total_step", "value": {}}}'.format(total_step))
# def _train(self):
# batch = np.asarray(random.sample(self.memory, BATCH_SIZE))
# if len(batch) < BATCH_SIZE:
# return
# current_states = []
# q_values = []
# max_q_values = []
# current_states = np.asarray(tuple(map(lambda s: np.asarray(s['current_state']),
# batch))).astype(np.float64)
# next_states = np.asarray(tuple(map(lambda s: np.asarray(s['next_state']),
# batch))).astype(np.float64)
# next_states_prediction = self.ddqn_target.predict(next_states)
# next_q_value = np.max(next_states_prediction, axis=1)
# for entry in batch:
# current_state = np.expand_dims(np.asarray(entry["current_state"]).astype(np.float64), axis=0)
# current_states.append(current_state)
# next_state = np.expand_dims(np.asarray(entry["next_state"]).astype(np.float64), axis=0)
# next_state_prediction = self.ddqn_target.predict(next_state).ravel()
# next_q_value = np.max(next_state_prediction)
# q = list(self.ddqn.predict(current_state)[0])
# if entry["terminal"]:
# q[entry["action"]] = entry["reward"]
# else:
# q[entry["action"]] = entry["reward"] + GAMMA * next_q_value
# q_values.append(q)
# max_q_values.append(np.max(q))
# fit = self.ddqn.fit(np.asarray(current_states).squeeze(),
# np.asarray(q_values).squeeze(),
# batch_size=BATCH_SIZE,
# verbose=0)
# loss = fit.history["loss"][0]
# accuracy = fit.history["accuracy"][0]
# return loss, accuracy, mean(max_q_values)
# def _train(self):
# # torch version of training
# batch = np.asarray(random.sample(self.memory, BATCH_SIZE))
# if len(batch) < BATCH_SIZE:
# return
# current_states = []
# q_values = []
# max_q_values = []
# non_final_mask = torch.tensor(tuple(map(lambda s: s["terminal"] != True,
# batch)), device=device, dtype=torch.bool)
# non_final_next_states = torch.cat([s["next_state"] for s in batch
# if s["terminal"] != True])
# state_batch = torch.tensor(list(map(lambda s: np.asarray(s['current_state']),
# batch)), dtype=torch.float64)
# action_batch = torch.tensor(list(map(lambda s: np.asarray(s['action']),
# batch)), dtype=torch.Long)
# reward_batch = torch.tensor(list(map(lambda s: np.asarray(s['reward']),
# batch)), dtype=torch.float64)
# state_action_values = self.ddqn(state_batch).gather(1, action_batch)
# next_state_values = torch.zeros(BATCH_SIZE, device=device)
# next_state_values[non_final_mask] = self.ddqn_target(non_final_next_states).max(1)[0].detach()
# expected_state_action_values = (next_state_values * GAMMA) + reward_batch
# # Compute Huber loss
# criterion = nn.SmoothL1Loss()
# loss = criterion(state_action_values, expected_state_action_values.unsqueeze(1))
# # Optimize the model
# optimizer = optim.RMSprop(self.ddqn.parameters())
# optimizer.zero_grad()
# loss.backward()
# for param in self.ddqn.parameters():
# param.grad.data.clamp_(-1, 1)
# optimizer.step()
# return 0, 0, 0
# def _update_epsilon(self):
# self.epsilon -= EXPLORATION_DECAY
# self.epsilon = max(EXPLORATION_MIN, self.epsilon)
# def _reset_target_network(self):
# self.ddqn_target.set_weights(self.ddqn.get_weights())
class DQNbn(nn.Module):
def __init__(self, c, h, w, outputs):
super(DQN, self).__init__()
self.conv1 = nn.Conv2d(c, 16, kernel_size=5, stride=2)
self.bn1 = nn.BatchNorm2d(16)
self.conv2 = nn.Conv2d(16, 32, kernel_size=5, stride=2)
self.bn2 = nn.BatchNorm2d(32)
self.conv3 = nn.Conv2d(32, 32, kernel_size=5, stride=2)
self.bn3 = nn.BatchNorm2d(32)
# Number of Linear input connections depends on output of conv2d layers
# and therefore the input image size, so compute it.
def conv2d_size_out(size, kernel_size = 5, stride = 2):
return (size - (kernel_size - 1) - 1) // stride + 1
convw = conv2d_size_out(conv2d_size_out(conv2d_size_out(w)))
convh = conv2d_size_out(conv2d_size_out(conv2d_size_out(h)))
linear_input_size = convw * convh * 32
self.head = nn.Linear(linear_input_size, outputs)
# Called with either one element to determine next action, or a batch
# during optimization. Returns tensor([[left0exp,right0exp]...]).
def forward(self, x):
x = x.to(device)
x = F.relu(self.bn1(self.conv1(x)))
x = F.relu(self.bn2(self.conv2(x)))
x = F.relu(self.bn3(self.conv3(x)))
return self.head(x.view(x.size(0), -1))
class DQN(nn.Module):
def __init__(self, c, h, w, outputs):
super(DQN, self).__init__()
self.conv1 = nn.Conv2d(c, 16, kernel_size=5, stride=2)
# self.bn1 = nn.BatchNorm2d(16)
self.conv2 = nn.Conv2d(16, 32, kernel_size=5, stride=2)
# self.bn2 = nn.BatchNorm2d(32)
self.conv3 = nn.Conv2d(32, 32, kernel_size=5, stride=2)
# self.bn3 = nn.BatchNorm2d(32)
# Number of Linear input connections depends on output of conv2d layers
# and therefore the input image size, so compute it.
def conv2d_size_out(size, kernel_size = 5, stride = 2):
return (size - (kernel_size - 1) - 1) // stride + 1
convw = conv2d_size_out(conv2d_size_out(conv2d_size_out(w)))
convh = conv2d_size_out(conv2d_size_out(conv2d_size_out(h)))
linear_input_size = convw * convh * 32
self.head = nn.Linear(linear_input_size, outputs)
# Called with either one element to determine next action, or a batch
# during optimization. Returns tensor([[left0exp,right0exp]...]).
def forward(self, x):
x = x.to(device) / 255
x = F.relu(self.conv1(x))
x = F.relu(self.conv2(x))
x = F.relu(self.conv3(x))
return self.head(x.view(x.size(0), -1))
Transition = namedtuple('Transition',
('current_state', 'action' , 'reward', 'next_state', 'terminal'))
class ReplayMemory(object):
def __init__(self, capacity):
self.memory = deque([],maxlen=capacity)
def push(self, *args):
"""Save a transition"""
self.memory.append(Transition(*args))
def sample(self, batch_size):
return random.sample(self.memory, batch_size)
def __len__(self):
return len(self.memory)
class DDQNTrainer_torch(DDQNGameModel):
def __init__(self, game_name, input_shape, action_space):
DDQNGameModel.__init__(self,
game_name,
"DDQN training",
input_shape,
action_space,
"./output/logs/" + game_name + "/ddqn/training/" + self._get_date() + "/",
"./output/neural_nets/" + game_name + "/ddqn/" + self._get_date() + "/model.pt")
if os.path.exists(os.path.dirname(self.model_path)):
shutil.rmtree(os.path.dirname(self.model_path), ignore_errors=True)
os.makedirs(os.path.dirname(self.model_path))
self.ddqn = DQN(*input_shape, action_space).to(device)
self.optimizer = optim.RMSprop(self.ddqn.parameters(),lr=0.00025, alpha=0.95, eps=0.01)
# self.optimizer = optim.Adam(self.ddqn.parameters(), lr=0.00025)
self.ddqn_target = DQN(*input_shape, action_space).to(device)
self._reset_target_network()
self.epsilon = EXPLORATION_MAX
self.memory = ReplayMemory(MEMORY_SIZE)
self.pre_run = 0
def move(self, state):
if np.random.rand() < self.epsilon or len(self.memory) < REPLAY_START_SIZE:
return random.randrange(self.action_space)
q_values = self.ddqn(torch.tensor(np.expand_dims(np.asarray(state).astype(np.float64)
, axis=0),device=device, dtype=torch.float32))
return np.argmax(q_values[0].detach().cpu().numpy())
def remember(self, current_state, action, reward, next_state, terminal):
self.memory.push(torch.unsqueeze(torch.tensor(np.asarray(current_state), dtype=torch.float32),dim=0),
torch.unsqueeze(torch.tensor(np.asarray(action), dtype=torch.int64),dim=0),
torch.tensor(np.asarray(reward), dtype=torch.float32),
torch.unsqueeze(torch.tensor(np.asarray(next_state), dtype=torch.float32),dim=0),
torch.tensor(terminal != True, dtype=torch.bool))
if len(self.memory) > MEMORY_SIZE:
self.memory.pop(0)
def step_update(self, total_step, run):
if len(self.memory) < REPLAY_START_SIZE:
return
if total_step % TRAINING_FREQUENCY == 0:
loss, accuracy, average_max_q = self._train()
self.logger.add_loss(loss)
self.logger.add_accuracy(accuracy)
self.logger.add_q(average_max_q)
self._update_epsilon()
if total_step % MODEL_PERSISTENCE_UPDATE_FREQUENCY == 0:
self._save_model()
if total_step % TARGET_NETWORK_UPDATE_FREQUENCY == 0:
self._reset_target_network()
print('{{"metric": "epsilon", "value": {}}}'.format(self.epsilon))
print('{{"metric": "total_step", "value": {}}}'.format(total_step))
def _train(self):
# torch version of training
batch = self.memory.sample(BATCH_SIZE)
if len(batch) < BATCH_SIZE:
return
batch = Transition(*zip(*batch))
# non_final_mask = torch.tensor(tuple(map(lambda s: s["terminal"] != True,
# batch)), device=device, dtype=torch.bool)
# non_final_next_states = torch.tensor([np.asarray(s["next_state"]) for s in batch
# if s["terminal"] != True], dtype=torch.float32, device=device)
# state_batch = torch.tensor(list(map(lambda s: np.asarray(s['current_state']),
# batch)), dtype=torch.float32, device=device)
# action_batch = torch.unsqueeze(torch.tensor(list(map(lambda s: s['action'],
# batch)), dtype=torch.int64, device=device),dim=1)
# reward_batch = torch.tensor(list(map(lambda s: s['reward'],
# batch)), dtype=torch.float32, device=device)
non_final_mask = torch.tensor(batch.terminal, device=device)
non_final_next_states = torch.cat([s for s,t in zip(batch.next_state,batch.terminal)
if t]).to(device)
state_batch = torch.cat(batch.current_state).to(device)
action_batch = torch.unsqueeze(torch.cat(batch.action),dim=1).to(device)
reward_batch = torch.tensor(batch.reward, device=device)
state_action_values = self.ddqn(state_batch).gather(1, action_batch)
next_state_values = torch.zeros(BATCH_SIZE, device=device)
next_state_values[non_final_mask] = self.ddqn_target(non_final_next_states).max(1)[0].detach()
expected_state_action_values = (next_state_values * GAMMA) + reward_batch
# Compute Huber loss
criterion = nn.SmoothL1Loss()
loss = criterion(state_action_values, expected_state_action_values.unsqueeze(1))
# Optimize the model
self.optimizer.zero_grad()
loss.backward()
for param in self.ddqn.parameters():
param.grad.data.clamp_(-1, 1)
self.optimizer.step()
return float(loss.detach().cpu().numpy()), 0, float(torch.mean(next_state_values).detach().cpu().numpy())
def _update_epsilon(self):
self.epsilon -= EXPLORATION_DECAY
self.epsilon = max(EXPLORATION_MIN, self.epsilon)
def _reset_target_network(self):
self.ddqn_target.load_state_dict(self.ddqn.state_dict())
def _save_model(self):
torch.save(self.ddqn.state_dict(), self.model_path)
def _load_model(self):
self.ddqn.load_state_dict(torch.load(self.model_path))
self.ddqn.eval()
class DDQNSolver_torch(DDQNGameModel):
def __init__(self, game_name, input_shape, action_space):
testing_model_path = "./output/neural_nets/" + game_name + "/ddqn/testing/model.pt"
assert os.path.exists(os.path.dirname(testing_model_path)), "No testing model in: " + str(testing_model_path)
DDQNGameModel.__init__(self,
game_name,
"DDQN testing",
input_shape,
action_space,
"./output/logs/" + game_name + "/ddqn/testing/" + self._get_date() + "/",
testing_model_path)
self.ddqn = DQN(*input_shape, action_space).to(device)
self._load_model()
def _load_model(self):
self.ddqn.load_state_dict(torch.load(self.model_path))
self.ddqn.eval()
def move(self, state):
if np.random.rand() < EXPLORATION_TEST:
return random.randrange(self.action_space)
q_values = self.ddqn(torch.tensor(np.expand_dims(np.asarray(state).astype(np.float64)
, axis=0),device=device, dtype=torch.float32))
return np.argmax(q_values[0].detach().cpu().numpy())
def step_update(self, total_step, run):
pass | 41.730435 | 117 | 0.595124 | 2,313 | 19,196 | 4.703415 | 0.117164 | 0.024267 | 0.022061 | 0.028955 | 0.764317 | 0.743635 | 0.692159 | 0.64721 | 0.631676 | 0.630113 | 0 | 0.02093 | 0.283184 | 19,196 | 460 | 118 | 41.730435 | 0.769695 | 0.415503 | 0 | 0.382775 | 0 | 0 | 0.038319 | 0.00967 | 0 | 0 | 0 | 0 | 0.009569 | 1 | 0.129187 | false | 0.004785 | 0.066986 | 0.019139 | 0.301435 | 0.014354 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
964be75e90e217e0bb48025e75b3b11baa5f166a | 1,518 | py | Python | code/pytorch/LAMPO/core/augmented_tasks/tasks.py | hzm2016/assistive-gym-robosuite | 5c529f4444cc386383618bfa584341740a8468f9 | [
"MIT"
] | 1 | 2021-11-22T07:45:28.000Z | 2021-11-22T07:45:28.000Z | code/pytorch/LAMPO/core/augmented_tasks/tasks.py | hzm2016/assistive-gym-robosuite | 5c529f4444cc386383618bfa584341740a8468f9 | [
"MIT"
] | null | null | null | code/pytorch/LAMPO/core/augmented_tasks/tasks.py | hzm2016/assistive-gym-robosuite | 5c529f4444cc386383618bfa584341740a8468f9 | [
"MIT"
] | null | null | null | from rlbench.tasks import ReachTarget as RT, WaterPlants as WP, CloseDrawer as CD
from pyrep.backend import sim
import numpy as np
from rlbench.backend.task import Task
import math
class AugmentedTask(Task):
def set_additional_info(self, *args, **kwargs):
raise Exception("not implemented")
def get_dense_reward(self) -> float:
raise Exception("not implemented")
class ReachTarget(RT):
def set_additional_info(self, robot):
self._robot = robot
def get_dense_reward(self):
state, points = sim.simCheckProximitySensor(self._initial_objs_in_scene[5][0]._handle,
self.robot.arm.get_tip().get_handle())
points_1 = sim.simGetObjectPosition(self._initial_objs_in_scene[5][0]._handle,
self.robot.arm.get_tip().get_handle())
reward = - np.sqrt(points_1[0] ** 2 + points_1[1] ** 2 + points_1[2] ** 2)
if state == 1:
reward = 1.
return reward
class CloseDrawer(CD):
def set_additional_info(self, robot):
self._robot = robot
def get_dense_reward(self):
rew = np.abs(self.joints[0].get_joint_position() - self._success_conditions[0]._original_pos)
if rew >= 0.06:
return 1.
else:
return rew/0.12
class WaterPlants(WP):
def set_additional_info(self, robot):
self._robot = robot
def get_dense_reward(self):
return 0.
| 27.107143 | 101 | 0.611989 | 193 | 1,518 | 4.590674 | 0.341969 | 0.081264 | 0.072235 | 0.090293 | 0.396163 | 0.345372 | 0.345372 | 0.345372 | 0.345372 | 0.345372 | 0 | 0.02403 | 0.28722 | 1,518 | 55 | 102 | 27.6 | 0.794824 | 0 | 0 | 0.361111 | 0 | 0 | 0.019763 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.138889 | 0.027778 | 0.583333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
965240125b85de0c797ebd56d2cb28ca08c83ac3 | 888 | py | Python | src/base/domain.py | antunesleo/manotes-api | ea954e3570a1a4c163328288a9a328859c421f29 | [
"MIT"
] | 13 | 2018-12-11T10:54:19.000Z | 2020-08-07T01:23:43.000Z | src/base/domain.py | antunesleo/manotes-api | ea954e3570a1a4c163328288a9a328859c421f29 | [
"MIT"
] | 1 | 2020-01-12T04:03:08.000Z | 2020-01-12T04:03:08.000Z | src/base/domain.py | antunesleo/manotes-api | ea954e3570a1a4c163328288a9a328859c421f29 | [
"MIT"
] | 3 | 2019-03-27T11:37:49.000Z | 2019-05-31T02:05:00.000Z | from src import exceptions
class Actor(object):
pass
class Entity(object):
pass
class Aggregate(object):
active_repository = None
def __init__(self, db_instance):
self.db_instance = db_instance
@classmethod
def create_with_id(cls, id):
db_instance = cls.active_repository.one_or_none(id=id)
if db_instance is None:
raise exceptions.NotFound('Could not find a entity with id {}'.format(id))
return cls(db_instance=db_instance)
@classmethod
def create_with_instance(cls, db_instance):
return cls(db_instance)
@classmethod
def _create_with_keys(cls, **keys):
db_instance = cls.active_repository.one_or_none(**keys)
if db_instance is None:
raise exceptions.NotFound('Could not find a user with keys: {}'.format(keys))
return cls(db_instance=db_instance)
| 25.371429 | 89 | 0.677928 | 119 | 888 | 4.798319 | 0.310924 | 0.227671 | 0.091068 | 0.105079 | 0.602452 | 0.602452 | 0.476357 | 0.476357 | 0.189142 | 0.189142 | 0 | 0 | 0.23536 | 888 | 34 | 90 | 26.117647 | 0.840943 | 0 | 0 | 0.375 | 0 | 0 | 0.077703 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.083333 | 0.041667 | 0.041667 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
9659b9d0cb2cd5a16db35cc029407ba657e526f1 | 2,406 | py | Python | client/python/kwkhtmltopdf_client.py | yvaucher/kwkhtmltopdf | d1e3a7d1f90968a17033454e3cbf1d73ffa86d70 | [
"MIT"
] | 4 | 2019-03-01T15:01:46.000Z | 2021-03-26T10:17:58.000Z | client/python/kwkhtmltopdf_client.py | yvaucher/kwkhtmltopdf | d1e3a7d1f90968a17033454e3cbf1d73ffa86d70 | [
"MIT"
] | 9 | 2019-03-06T17:22:25.000Z | 2022-02-22T17:35:02.000Z | client/python/kwkhtmltopdf_client.py | yvaucher/kwkhtmltopdf | d1e3a7d1f90968a17033454e3cbf1d73ffa86d70 | [
"MIT"
] | 6 | 2019-03-06T16:56:19.000Z | 2022-01-11T07:23:13.000Z | #!/usr/bin/env python
# Copyright (c) 2019 ACSONE SA/NV
# Distributed under the MIT License (http://opensource.org/licenses/MIT)
from __future__ import print_function
import os
import sys
import requests
CHUNK_SIZE = 2 ** 16
class Error(Exception):
pass
class UsageError(Error):
pass
class ServerError(Error):
pass
def wkhtmltopdf(args):
url = os.getenv("KWKHTMLTOPDF_SERVER_URL")
parts = []
def add_option(option):
# TODO option encoding?
parts.append(("option", (None, option)))
def add_file(filename):
with open(filename, "rb") as f:
parts.append(("file", (filename, f.read())))
if "-" in args:
raise UsageError("stdin/stdout input is not implemented")
output = "-"
if len(args) >= 2 and not args[-1].startswith("-") and not args[-2].startswith("-"):
output = args[-1]
args = args[:-1]
for arg in args:
if arg.startswith("-"):
add_option(arg)
elif arg.startswith("http://") or arg.startswith("https://"):
add_option(arg)
elif arg.startswith("file://"):
add_file(arg[7:])
elif os.path.isfile(arg):
# TODO better way to detect args that are actually options
# TODO in case an option has the same name as an existing file
# TODO only way I see so far is enumerating them in a static
# TODO datastructure (that can be initialized with a quick parse
# TODO of wkhtmltopdf --extended-help)
add_file(arg)
else:
add_option(arg)
if not parts:
add_option("-h")
try:
r = requests.post(url, files=parts)
r.raise_for_status()
if output == "-":
if sys.version_info[0] < 3:
out = sys.stdout
else:
out = sys.stdout.buffer
else:
out = open(output, "wb")
for chunk in r.iter_content(chunk_size=CHUNK_SIZE):
out.write(chunk)
except requests.exceptions.ChunkedEncodingError:
# TODO look if client and server could use trailer headers
# TODO to report errors
raise ServerError("kwkhtmltopdf server error, consult server log")
if __name__ == "__main__":
try:
wkhtmltopdf(sys.argv[1:])
except Error as e:
print(e, file=sys.stderr)
sys.exit(-1)
| 26.152174 | 88 | 0.586866 | 306 | 2,406 | 4.51634 | 0.48366 | 0.032562 | 0.026049 | 0.023155 | 0.041968 | 0.041968 | 0 | 0 | 0 | 0 | 0 | 0.010113 | 0.30133 | 2,406 | 91 | 89 | 26.43956 | 0.812017 | 0.208229 | 0 | 0.189655 | 0 | 0 | 0.082893 | 0.012144 | 0 | 0 | 0 | 0.010989 | 0 | 1 | 0.051724 | false | 0.051724 | 0.068966 | 0 | 0.172414 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
965d06b2a49489ae1c3d1a03947debd66de98f11 | 1,829 | py | Python | src/strips_hgn/features/global_features.py | matgreco/trainhgn | 4da36033512b904e0547b31e5cb8ad9249e1d343 | [
"MIT"
] | 5 | 2020-11-29T05:22:24.000Z | 2022-01-28T22:52:43.000Z | src/strips_hgn/features/global_features.py | matgreco/trainhgn | 4da36033512b904e0547b31e5cb8ad9249e1d343 | [
"MIT"
] | null | null | null | src/strips_hgn/features/global_features.py | matgreco/trainhgn | 4da36033512b904e0547b31e5cb8ad9249e1d343 | [
"MIT"
] | 4 | 2020-08-14T01:26:52.000Z | 2021-08-30T14:21:53.000Z | from typing import List, Type
from strips_hgn.features import GlobalFeatureMapper
from strips_hgn.hypergraph.hypergraph_view import HypergraphView
from strips_hgn.utils import Number
class EmptyGlobalFeatureMapper(GlobalFeatureMapper):
""" Global Feature Mapper that does nothing """
def hypergraph_view_to_feature(
self, hypergraph_view: HypergraphView
) -> List[Number]:
return []
@classmethod
def name(cls) -> str:
return "none"
@classmethod
def input_size(cls) -> int:
return 0
class NumberOfNodesAndEdgesGlobalFeatureMapper(GlobalFeatureMapper):
"""
Map a Hypergraph View to a feature vector containing the number of nodes
and edges in the hypergraph.
[number of nodes, number of hyperedges]
For STRIPS problems, this corresponds to the number of propositions and
grounded actions, respectively.
"""
def hypergraph_view_to_feature(
self, hypergraph_view: HypergraphView
) -> List[Number]:
return [len(hypergraph_view.nodes), len(hypergraph_view.hyperedges)]
@classmethod
def name(cls) -> str:
return "num_nodes_and_edges"
@classmethod
def input_size(cls) -> int:
return 2
# Used for command line args
GLOBAL_FEATURE_MAPPERS = {
feature_mapper_cls.name(): feature_mapper_cls
for feature_mapper_cls in (
EmptyGlobalFeatureMapper,
NumberOfNodesAndEdgesGlobalFeatureMapper,
)
}
DEFAULT_GLOBAL_FEATURE_MAPPER = EmptyGlobalFeatureMapper.name()
assert DEFAULT_GLOBAL_FEATURE_MAPPER in GLOBAL_FEATURE_MAPPERS
def get_global_feature_mapper(mapper: str) -> Type[GlobalFeatureMapper]:
if mapper not in GLOBAL_FEATURE_MAPPERS:
raise ValueError(f"Unsupported global feature mapper {mapper}")
return GLOBAL_FEATURE_MAPPERS[mapper]
| 26.897059 | 76 | 0.732641 | 206 | 1,829 | 6.300971 | 0.349515 | 0.090139 | 0.07319 | 0.029276 | 0.214176 | 0.214176 | 0.167951 | 0.114022 | 0.114022 | 0.114022 | 0 | 0.00137 | 0.20175 | 1,829 | 67 | 77 | 27.298507 | 0.887671 | 0.172772 | 0 | 0.358974 | 0 | 0 | 0.044068 | 0 | 0 | 0 | 0 | 0 | 0.025641 | 1 | 0.179487 | false | 0 | 0.102564 | 0.153846 | 0.512821 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
9661caebebb52f426d4207d1d2177f1abe1f9bb0 | 2,655 | py | Python | BizWxUtil.py | xeeboy/BizWxCryptor | 10269ebc39f306c2977282dcba45d7ef3a88440c | [
"MIT"
] | 29 | 2019-04-16T17:45:03.000Z | 2022-01-26T11:54:00.000Z | BizWxUtil.py | xeeboy/BizWxCryptor | 10269ebc39f306c2977282dcba45d7ef3a88440c | [
"MIT"
] | 1 | 2019-04-10T06:01:39.000Z | 2019-04-10T07:27:28.000Z | BizWxUtil.py | xeeboy/BizWxCryptor | 10269ebc39f306c2977282dcba45d7ef3a88440c | [
"MIT"
] | 12 | 2019-05-15T08:48:59.000Z | 2022-01-26T11:54:01.000Z | from django.http import HttpResponse
from .WXBizMsgCrypt import WXBizMsgCrypt,ResponseMessage,generateNonce
import xml.etree.cElementTree as ET
def getCryptor():
# TODO hard code configuration
sToken = "edit_this"
sEncodingAESKey = "edit_this"
sCorpID = "edit_this"
return WXBizMsgCrypt(sToken,sEncodingAESKey,sCorpID)
def responseEcho(request):
sVerifyMsgSig = request.GET.get('msg_signature')
sVerifyNonce = request.GET.get('nonce')
sVerifyTimeStamp = request.GET.get('timestamp')
sVerifyEchoStr = request.GET.get('echostr')
wxcpt = getCryptor()
ret,sEchoStr=wxcpt.VerifyURL(sVerifyMsgSig, sVerifyTimeStamp,sVerifyNonce,sVerifyEchoStr)
if ret != 0 :
print("ERR: VerifyURL ret: " + str(ret))
return HttpResponse("ERR: VerifyURL ret: " + str(ret))
return HttpResponse(sEchoStr)
# decrypt message and ruturn as python dict
def parseMessage(request):
encrypted_xml = request.body.decode('utf-8')
sVerifyMsgSig = request.GET.get('msg_signature')
sVerifyNonce = request.GET.get('nonce')
sVerifyTimeStamp = request.GET.get('timestamp')
wxcpt = getCryptor()
ret,xml_content = wxcpt.DecryptMsg(encrypted_xml,sVerifyMsgSig,sVerifyTimeStamp,sVerifyNonce)
if ret != 0 :
print("ERR: VerifyURL ret: " + str(ret))
return HttpResponse("ERR: VerifyURL ret: " + str(ret))
type_fields = {
"text":["ToUserName","FromUserName","CreateTime","MsgType","Content","MsgId","AgentID"],
"image":["ToUserName","FromUserName","CreateTime","MsgType","PicUrl","MediaId","MsgId","AgentID"],
"voice":["ToUserName","FromUserName","CreateTime","MsgType","Format","MediaId","MsgId","AgentID"],
"video":["ToUserName","FromUserName","CreateTime","MsgType","ThumbMediaId","MediaId","MsgId","AgentID"],
"location":["ToUserName","FromUserName","CreateTime","MsgType","Location_X","Location_Y","Scale","Label","MsgId","AgentID"],
"link":["ToUserName","FromUserName","CreateTime","MsgType","Title","Description","PicUrl","MsgId","AgentID"]
}
xml_tree = ET.fromstring(xml_content)
type_name = xml_tree.find("MsgType").text
msg = {}
for nodename in type_fields[type_name]:
msg[nodename] = xml_tree.find(nodename).text
return msg
def parseResponse(resp_dict):
wxcpt = getCryptor()
xml_message = ResponseMessage(resp_dict).xml
nonce = generateNonce()
ret,returnMsg = wxcpt.EncryptMsg(xml_message,nonce)
if ret != 0 :
print("ERR: VerifyURL ret: " + str(ret))
return HttpResponse("ERR: VerifyURL ret: " + str(ret))
return HttpResponse(returnMsg)
| 38.478261 | 132 | 0.685499 | 281 | 2,655 | 6.398577 | 0.338078 | 0.038932 | 0.050612 | 0.060067 | 0.256396 | 0.256396 | 0.256396 | 0.256396 | 0.256396 | 0.256396 | 0 | 0.001801 | 0.163465 | 2,655 | 68 | 133 | 39.044118 | 0.807744 | 0.026365 | 0 | 0.346154 | 1 | 0 | 0.256202 | 0 | 0 | 0 | 0 | 0.014706 | 0 | 1 | 0.076923 | false | 0 | 0.057692 | 0 | 0.269231 | 0.057692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
9673d3b15c2ead4e093d455f9bd27e1c1e57d9a2 | 5,494 | py | Python | src/textbook_src/ch07/positional_list.py | AlexMGitHub/DS-A_Python | a4770c95ef2f76917fb1d8bc8c11433828a735a3 | [
"MIT"
] | null | null | null | src/textbook_src/ch07/positional_list.py | AlexMGitHub/DS-A_Python | a4770c95ef2f76917fb1d8bc8c11433828a735a3 | [
"MIT"
] | null | null | null | src/textbook_src/ch07/positional_list.py | AlexMGitHub/DS-A_Python | a4770c95ef2f76917fb1d8bc8c11433828a735a3 | [
"MIT"
] | null | null | null | # Copyright 2013, Michael H. Goldwasser
#
# Developed for use with the book:
#
# Data Structures and Algorithms in Python
# Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser
# John Wiley & Sons, 2013
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from .doubly_linked_base import _DoublyLinkedBase
class PositionalList(_DoublyLinkedBase):
"""A sequential container of elements allowing positional access."""
#-------------------------- nested Position class --------------------------
class Position:
"""An abstraction representing the location of a single element.
Note that two position instaces may represent the same inherent
location in the list. Therefore, users should always rely on
syntax 'p == q' rather than 'p is q' when testing equivalence of
positions.
"""
def __init__(self, container, node):
"""Constructor should not be invoked by user."""
self._container = container
self._node = node
def element(self):
"""Return the element stored at this Position."""
return self._node._element
def __eq__(self, other):
"""Return True if other is a Position representing the same location."""
return type(other) is type(self) and other._node is self._node
def __ne__(self, other):
"""Return True if other does not represent the same location."""
return not (self == other) # opposite of __eq__
#------------------------------- utility methods -------------------------------
def _validate(self, p):
"""Return position's node, or raise appropriate error if invalid."""
if not isinstance(p, self.Position):
raise TypeError('p must be proper Position type')
if p._container is not self:
raise ValueError('p does not belong to this container')
if p._node._next is None: # convention for deprecated nodes
raise ValueError('p is no longer valid')
return p._node
def _make_position(self, node):
"""Return Position instance for given node (or None if sentinel)."""
if node is self._header or node is self._trailer:
return None # boundary violation
else:
return self.Position(self, node) # legitimate position
#------------------------------- accessors -------------------------------
def first(self):
"""Return the first Position in the list (or None if list is empty)."""
return self._make_position(self._header._next)
def last(self):
"""Return the last Position in the list (or None if list is empty)."""
return self._make_position(self._trailer._prev)
def before(self, p):
"""Return the Position just before Position p (or None if p is first)."""
node = self._validate(p)
return self._make_position(node._prev)
def after(self, p):
"""Return the Position just after Position p (or None if p is last)."""
node = self._validate(p)
return self._make_position(node._next)
def __iter__(self):
"""Generate a forward iteration of the elements of the list."""
cursor = self.first()
while cursor is not None:
yield cursor.element()
cursor = self.after(cursor)
#------------------------------- mutators -------------------------------
# override inherited version to return Position, rather than Node
def _insert_between(self, e, predecessor, successor):
"""Add element between existing nodes and return new Position."""
node = super()._insert_between(e, predecessor, successor)
return self._make_position(node)
def add_first(self, e):
"""Insert element e at the front of the list and return new Position."""
return self._insert_between(e, self._header, self._header._next)
def add_last(self, e):
"""Insert element e at the back of the list and return new Position."""
return self._insert_between(e, self._trailer._prev, self._trailer)
def add_before(self, p, e):
"""Insert element e into list before Position p and return new Position."""
original = self._validate(p)
return self._insert_between(e, original._prev, original)
def add_after(self, p, e):
"""Insert element e into list after Position p and return new Position."""
original = self._validate(p)
return self._insert_between(e, original, original._next)
def delete(self, p):
"""Remove and return the element at Position p."""
original = self._validate(p)
return self._delete_node(original) # inherited method returns element
def replace(self, p, e):
"""Replace the element at Position p with e.
Return the element formerly at Position p.
"""
original = self._validate(p)
old_value = original._element # temporarily store old element
original._element = e # replace with new element
return old_value # return the old element value
| 40.10219 | 82 | 0.658537 | 735 | 5,494 | 4.798639 | 0.296599 | 0.034023 | 0.022115 | 0.031188 | 0.269067 | 0.245534 | 0.197335 | 0.154239 | 0.138361 | 0.113978 | 0 | 0.002088 | 0.215508 | 5,494 | 136 | 83 | 40.397059 | 0.816241 | 0.517474 | 0 | 0.098361 | 0 | 0 | 0.034164 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.295082 | false | 0 | 0.016393 | 0 | 0.622951 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
967603ce5a09279d1dc8ac35c7c4b32234726860 | 415 | py | Python | security-key-spaces.py | shreyakupadhyay/Hacks-py | d779e6eeca0a42dab68e599c1e48143338662a28 | [
"MIT"
] | 11 | 2015-07-12T09:06:58.000Z | 2020-09-16T06:35:39.000Z | security-key-spaces.py | shreyakupadhyay/Hacks-py | d779e6eeca0a42dab68e599c1e48143338662a28 | [
"MIT"
] | null | null | null | security-key-spaces.py | shreyakupadhyay/Hacks-py | d779e6eeca0a42dab68e599c1e48143338662a28 | [
"MIT"
] | 6 | 2017-06-07T01:16:39.000Z | 2020-04-30T21:42:21.000Z | # Enter your code here. Read input from STDIN. Print output to STDOUT
import sys
arr=raw_input()
e=int(raw_input())
array=[]
for i in range(0,len(arr)):
if(chr(ord(arr[i])+e)>'9'):
array.append(chr(ord(arr[i])+e-10))
elif(chr(ord(arr[i])+e)>'z'):
array.append(chr(ord(arr[i])+e-26))
else:
array.append(chr(ord(arr[i])+e))
for i in range(0,len(arr)):
sys.stdout.write(array[i])
| 25.9375 | 69 | 0.609639 | 79 | 415 | 3.177215 | 0.455696 | 0.119522 | 0.179283 | 0.199203 | 0.494024 | 0.406375 | 0.406375 | 0 | 0 | 0 | 0 | 0.020349 | 0.171084 | 415 | 15 | 70 | 27.666667 | 0.709302 | 0.161446 | 0 | 0.153846 | 0 | 0 | 0.00578 | 0 | 0 | 0 | 0 | 0.066667 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
967d32715ca786a66ec1eca473890ea6ed191500 | 1,621 | py | Python | dialga/datasetops.py | Gokkulnath/Dialga | bc906ce8fdcc010f266e15d40e0433d537943e8d | [
"Apache-2.0"
] | null | null | null | dialga/datasetops.py | Gokkulnath/Dialga | bc906ce8fdcc010f266e15d40e0433d537943e8d | [
"Apache-2.0"
] | 3 | 2020-11-13T18:36:59.000Z | 2022-02-10T01:19:57.000Z | dialga/datasetops.py | Gokkulnath/Dialga | bc906ce8fdcc010f266e15d40e0433d537943e8d | [
"Apache-2.0"
] | 1 | 2021-07-01T08:01:08.000Z | 2021-07-01T08:01:08.000Z | # AUTOGENERATED! DO NOT EDIT! File to edit: 01_datasetops.ipynb (unless otherwise specified).
__all__ = ['Resize_Image', 'Resize_Imgs_Directory', 'stratified_sample_df']
# Cell
import os
import sys
import PIL
from PIL import Image
from glob import glob
from multiprocessing import pool
from multiprocessing.dummy import Pool as ThreadPool
import pandas as pd
# path=''.join(sys.argv[1:])
# TODO : Need to Write Better Logic for Folder Creation and CLI parsing to pass no of Threads
# TODO : Suffix or Prefix Change ?
def Resize_Image( filepath ):
im = Image.open( filepath )
im = im.resize((256,256) ,PIL.Image.BILINEAR)
im.save('Resized_'+filepath)
def Resize_Imgs_Directory(path,ext=''):
os.makedirs("Resized_"+path)
files=glob(path+'/*'+ext)
pool = ThreadPool(8)
pool.map( Resize_Image, files)
# Cell
def stratified_sample_df(df, col, n_samples,mode='min'):
'''
Add Verbose method to print out log
'''
if mode=='min':
n = min(n_samples, df[col].value_counts().min())
df_ = df.groupby(col).apply(lambda x: x.sample(n))
df_.index = df_.index.droplevel(0)
return df_
elif mode=='max':
max_size = max(n_samples,df[col].value_counts().max())
lst = [df]
for class_index, group in df.groupby(col):
lst.append(group.sample(max_size-len(group), replace=True))
return pd.concat(lst)
else:
max_size = n_samples
lst = [df]
for class_index, group in df.groupby(col):
lst.append(group.sample(max_size-len(group), replace=True))
return pd.concat(lst)
| 28.946429 | 93 | 0.661937 | 235 | 1,621 | 4.421277 | 0.446809 | 0.030799 | 0.034649 | 0.025024 | 0.238691 | 0.238691 | 0.192493 | 0.192493 | 0.192493 | 0.192493 | 0 | 0.008627 | 0.213448 | 1,621 | 55 | 94 | 29.472727 | 0.806275 | 0.178902 | 0 | 0.222222 | 1 | 0 | 0.061115 | 0.016043 | 0 | 0 | 0 | 0.018182 | 0 | 1 | 0.083333 | false | 0 | 0.222222 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.