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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
551d7656dfcd2d9ac6106ecaf6448701f59205fd
| 393
|
py
|
Python
|
closest_numbers.py
|
odellus/year_of_code
|
bfa2b30893bcc12f46e73ac34c63b5b05b27af5f
|
[
"MIT"
] | 1
|
2017-01-03T02:24:34.000Z
|
2017-01-03T02:24:34.000Z
|
closest_numbers.py
|
odellus/year_of_code
|
bfa2b30893bcc12f46e73ac34c63b5b05b27af5f
|
[
"MIT"
] | null | null | null |
closest_numbers.py
|
odellus/year_of_code
|
bfa2b30893bcc12f46e73ac34c63b5b05b27af5f
|
[
"MIT"
] | null | null | null |
def closestNumbers(numbers):
numbers.sort()
mindiff = sys.maxint
n = len(numbers)
for k in range(n-1):
absdiff = abs(numbers[k] - numbers[k+1])
if absdiff < mindiff:
mindiff = absdiff
for k in range(n-1):
absdiff = abs(numbers[k] - numbers[k+1])
if absdiff == mindiff:
print "{0} {1}".format(numbers[k],numbers[k+1])
| 30.230769
| 59
| 0.554707
| 54
| 393
| 4.037037
| 0.37037
| 0.220183
| 0.206422
| 0.220183
| 0.591743
| 0.513761
| 0.513761
| 0.513761
| 0.513761
| 0.513761
| 0
| 0.025362
| 0.29771
| 393
| 12
| 60
| 32.75
| 0.764493
| 0
| 0
| 0.333333
| 0
| 0
| 0.017812
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.083333
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9b2b7e3184a648dffa11f8e71194a20d3c591394
| 13,484
|
py
|
Python
|
denverapi/bdtp.py
|
xcodz-dot/denver
|
4142594756ceb7edb23d77cf7549f8d770185def
|
[
"MIT"
] | 4
|
2020-09-26T08:48:53.000Z
|
2020-12-02T21:50:28.000Z
|
denverapi/bdtp.py
|
xcodz-dot/denver
|
4142594756ceb7edb23d77cf7549f8d770185def
|
[
"MIT"
] | 22
|
2020-09-26T08:12:13.000Z
|
2020-12-03T04:01:13.000Z
|
denverapi/bdtp.py
|
xcodz-dot/denver-api
|
4142594756ceb7edb23d77cf7549f8d770185def
|
[
"MIT"
] | 3
|
2020-09-26T17:25:14.000Z
|
2020-12-02T21:47:18.000Z
|
"""
##Big Data Transfer Protocol
###What does it do
This protocol sends big data on a address (IPv4,port)
without worrying about pipe errors.
"""
__author__ = "Xcodz"
__version__ = "2021.2.24"
import abc
import socket
import time
import typing
from . import thread_control
default_buffer_size = 100000
class _BaseSender(abc.ABC):
@abc.abstractmethod
def send(self, c):
pass
class _BaseReceiver(abc.ABC):
@abc.abstractmethod
def recv(self, c):
pass
class DataSenderHost(_BaseSender):
"""
it is used for sending data as a host or in other words, server
to create a new DataSenderHost please use function implementation for it
"""
def __init__(self):
self.data = b""
self.address: tuple = ("", 0)
self.data_send: int = 0
self.buffer_size: int = default_buffer_size
self.task = False
def send(self, connected_socket: socket.socket = None):
"""
use this function to initiate the connection and send the data. `connected_socket` can be
supplied if you want to send over a already connected socket.
"""
if connected_socket is None:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind(self.address)
s.listen(5)
connection, _ = s.accept()
else:
connection = connected_socket
if isinstance(self.data, bytes):
for line in range(0, len(self.data), self.buffer_size):
lts = self.data[line : line + self.buffer_size]
connection.sendall(lts)
self.data_send += self.buffer_size
elif isinstance(self.data, typing.BinaryIO):
while True:
line = self.data.read(self.buffer_size)
if line == b"":
break
connection.sendall(line)
self.data_send += self.buffer_size
connection.send(b"")
if connected_socket is None:
connection.close()
s.close()
self.task = True
class DataSenderPort(_BaseSender):
"""
it is used for sending data as a client
to create a new DataSenderPort please use function implementation for it
"""
def __init__(self):
self.data: bytes = b""
self.address: tuple = ("", 0)
self.data_send: int = 0
self.buffer_size: int = default_buffer_size
self.task = False
def send(self, connected_socket: socket.socket = None):
"""
use this function to initiate the connection and send the data. `connected_socket` can be
supplied if you want to send over a already connected socket.
"""
if connected_socket is None:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(self.address)
else:
s = connected_socket
if isinstance(self.data, bytes):
for x in range(0, len(self.data), self.buffer_size):
lts = self.data[x : x + self.buffer_size]
s.sendall(lts)
self.data_send += self.buffer_size
elif isinstance(self.data, typing.BinaryIO):
while True:
line = self.data.read(self.buffer_size)
if line == b"":
break
s.sendall(line)
self.data_send += self.buffer_size
s.send(b"")
if connected_socket is None:
s.close()
self.task = True
class DataReceiverHost(_BaseReceiver):
"""
it is used for receiving data as a server or host
to create a new DataReceiverHost please use function implementation for it
"""
def __init__(self):
self.address: tuple = ("", 0)
self.data_recv: int = 0
self.buffer_size: int = default_buffer_size
self.data = b""
self.task = False
def recv(self, connected_socket: socket.socket = None):
"""
use this function to initiate the connection and start receiving the data. `connected_socket` can be
supplied if you want to receive over a already connected socket.
"""
if connected_socket is None:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind(self.address)
s.listen(5)
connection, _ = s.accept()
else:
connection = connected_socket
recv_bytes = b"\0"
while recv_bytes != b"":
recv_bytes = connection.recv(self.buffer_size)
self.data += recv_bytes
self.data_recv += self.buffer_size
if connected_socket is None:
connection.close()
s.close()
self.task = True
class DataReceiverPort(_BaseReceiver):
"""
it is used for receiving data as a client
to create a new DataReceiverPort please use function implementation for it
"""
def __init__(self):
self.address: tuple = ("", 0)
self.data_recv: int = 0
self.buffer_size: int = default_buffer_size
self.data = b""
self.task = False
def recv(self, connected_socket: socket.socket = None):
"""
use this function to initiate the connection and start receiving the data. `connected_socket` can be
supplied if you want to receive over a already connected socket.
"""
if connected_socket is None:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(self.address)
connection = s
else:
connection = connected_socket
recv_bytes = b"\0"
while recv_bytes != b"":
recv_bytes = connection.recv(self.buffer_size)
self.data += recv_bytes
self.data_recv += self.buffer_size
if connected_socket is None:
connection.close()
self.task = True
def new_send_data_host(data: bytes, addr: tuple = None, buffer_size=None):
"""
Make a new `DataSenderHost` with provided arguments. It's better to not supply `addr` if you
are going to use the object on existing connection. It is also not recommended to change
`buffer_size` because this argument is supposed to be same at both the sender and receiver.
You can then use the `send` method of the returned object to send the provided data.
Example:
```python
from denverapi import bdtp
import socket
# Without existing connection
my_sender = bdtp.new_send_data_host(b"Some Data", ("127.0.0.1", 7575))
my_sender.send()
# With existing connection
my_server = socket.socket()
my_server.bind(("127.0.0.1", 1234))
my_server.listen(5)
my_connection, address = my_server.accept()
my_sender = bdtp.new_send_data_host(b"Some Data")
my_sender.send(my_connection)
# With changed buffer size
my_sender = bdtp.new_send_data_host(b"Some Data", ("127.0.0.1", 12345), 3)
my_sender.send()
```
"""
sender_object = DataSenderHost()
sender_object.data = data
sender_object.address = addr
if buffer_size is not None:
sender_object.buffer_size = buffer_size
return sender_object
def new_send_data_port(data: bytes, addr: tuple = None, buffer_size=None):
"""
Make a new `DataSenderPort` with provided arguments. It's better to not supply `addr` if you
are going to use the object on existing connection. It is also not recommended to change
`buffer_size` because this argument is supposed to be same at both the sender and receiver.
You can then use the `send` method of the returned object to send the provided data.
Example:
```python
from denverapi import bdtp
import socket
# Without existing connection
my_sender = bdtp.new_send_data_port(b"Some Data", ("127.0.0.1", 7575))
my_sender.send()
# With existing connection
my_connection = socket.socket()
my_connection.connect(("127.0.0.1", 1234))
my_sender = bdtp.new_send_data_port(b"Some Data")
my_sender.send(my_connection)
# With changed buffer size
my_sender = bdtp.new_send_data_host(b"Some Data", ("127.0.0.1", 12345), 3)
my_sender.send()
```
"""
sender_object = DataSenderPort()
sender_object.data = data
sender_object.address = addr
if buffer_size is not None:
sender_object.buffer_size = buffer_size
return sender_object
def new_receive_data_host(addr: tuple = None, buffer_size=None):
"""
Make a new `DataReceiverHost` object to receive data sent by sender. It is not recommended to
supply `addr` if you are going to use it with existing connection. It is highly discouraged to use
`buffer_size` argument as it is supposed to be kept same at both sender and receiver.
You can use the returned object's `recv` method to start receiving data. Once receiving is complete.
data will be stored in object's `data` attribute as bytes.
```python
from denverapi import bdtp
import socket
# Without existing connection
my_receiver = bdtp.new_receive_data_host(("127.0.0.1", 7575))
my_receiver.recv()
# With existing connection
my_connection = socket.socket()
my_connection.connect(("127.0.0.1", 1234))
my_receiver = bdtp.new_receive_data_host()
my_receiver.recv(my_connection)
# With changed buffer size
my_receiver = bdtp.new_receive_data_host(("127.0.0.1", 12345), 3)
my_receiver.recv()
```
"""
sender_object = DataReceiverHost()
sender_object.address = addr
if buffer_size is not None:
sender_object.buffer_size = buffer_size
return sender_object
def new_receive_data_port(addr: tuple, buffer_size=None):
"""
Make a new `DataReceiverHost` object to receive data sent by sender. It is not recommended to
supply `addr` if you are going to use it with existing connection. It is highly discouraged to use
`buffer_size` argument as it is supposed to be kept same at both sender and receiver.
You can use the returned object's `recv` method to start receiving data. Once receiving is complete.
data will be stored in object's `data` attribute as bytes.
```python
from denverapi import bdtp
import socket
# Without existing connection
my_receiver = bdtp.new_receive_data_port(("127.0.0.1", 7575))
my_receiver.recv()
# With existing connection
my_connection = socket.socket()
my_connection.connect(("127.0.0.1", 1234))
my_receiver = bdtp.new_receive_data_port()
my_receiver.recv(my_connection)
# With changed buffer size
my_receiver = bdtp.new_receive_data_port(("127.0.0.1", 12345), 3)
my_receiver.recv()
```
"""
sender_object = DataReceiverPort()
sender_object.address = addr
if buffer_size is not None:
sender_object.buffer_size = buffer_size
return sender_object
def attach_speed_logger(data_object) -> typing.List[int]:
"""
Attaches a speed logger that captures the speed of transfer for either receiver object
or sender object. Returns a list that gets updated as the speed transfer continues.
To get the average speed use `average_speed_log`.
Example:
```python
from denverapi import bdtp
sender = bdtp.new_receive_data_port(b"Hello World"*10000, ("localhost", 8000))
speed_log = bdtp.attach_speed_logger(sender)
sender.send()
speed = bdtp.average_speed_log(speed_log)
```
"""
spl = []
@thread_control.runs_parallel
def sps(spl, d: _BaseSender):
old = 0
new = 0
spl.append(d.buffer_size)
while not d.task:
time.sleep(0.01)
new = d.data_send
spl.append(new - old)
old = new
@thread_control.runs_parallel
def spr(spl, d: _BaseReceiver):
old = 0
new = 0
spl.append(d.buffer_size)
while not d.task:
time.sleep(0.01)
new = d.data_recv
spl.append(new - old)
old = new
(spr if isinstance(data_object, _BaseReceiver) else sps)(spl, data_object)
return spl
def launch(data_object, connected_socket=None):
"""
Just a simple function that starts a sender or receiver object. It is here because it looks good when using this.
"""
if isinstance(data_object, _BaseSender):
data_object.send(connected_socket)
else:
data_object.recv(connected_socket)
def average_speed_log(spl: list) -> int:
"""
Finds average speed of the connection.
It strips out 0 from the end and starting of `spl` and then finds the average and returns it
"""
while spl[0] == 0:
spl.pop(0)
while spl[-1] == 0:
spl.pop()
return (sum(spl) / len(spl)) * 100
def main():
"""
Nothing more than a test
"""
print("Reading Data")
datats = open(input("File > "), "r+b").read()
print("Read Data")
print("Making Classes")
sc = new_send_data_port(datats, ("127.0.0.1", 4623))
rc = new_receive_data_host(("127.0.0.1", 4623))
spl = attach_speed_logger(rc)
from threading import Thread
Thread(target=launch, args=(sc,)).start()
rc.recv()
print(len(spl))
print(
f"Data Send:\n\tlen: {len(sc.data)}\nData Received:\n\tlen: {len(rc.data)}\n\tis_equal: {rc.data == sc.data}"
)
print(f"Average Speed: {average_speed_log(spl)} bytes per second")
if __name__ == "__main__":
main()
| 30.575964
| 117
| 0.637867
| 1,837
| 13,484
| 4.525313
| 0.135547
| 0.058944
| 0.030314
| 0.010105
| 0.760135
| 0.742812
| 0.729219
| 0.724287
| 0.699627
| 0.68026
| 0
| 0.02084
| 0.270469
| 13,484
| 440
| 118
| 30.645455
| 0.824235
| 0.411228
| 0
| 0.638614
| 0
| 0.004951
| 0.034597
| 0.00703
| 0
| 0
| 0
| 0
| 0
| 1
| 0.09901
| false
| 0.009901
| 0.029703
| 0
| 0.188119
| 0.029703
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 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
| 4
|
9b8fd2bf80fa07a3bd7f3ddd5254592ae0988fc9
| 190
|
py
|
Python
|
pics/admin.py
|
Joseph-Odhiambo/Gallary
|
f8dfab1149f11de94519afe597fe87f4ed28b9a5
|
[
"MIT"
] | 1
|
2021-05-19T12:58:15.000Z
|
2021-05-19T12:58:15.000Z
|
pics/admin.py
|
HASSAN1A/Gallery
|
a73bd93bcecbb830b4d676c9e9dd306880cac6f2
|
[
"MIT"
] | null | null | null |
pics/admin.py
|
HASSAN1A/Gallery
|
a73bd93bcecbb830b4d676c9e9dd306880cac6f2
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Image,Areas,Category
# Register your models here.
admin.site.register(Image)
admin.site.register(Areas)
admin.site.register(Category)
| 19
| 40
| 0.805263
| 27
| 190
| 5.666667
| 0.481481
| 0.176471
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 190
| 10
| 41
| 19
| 0.894737
| 0.136842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
32da7030ea8ed7c10970c252248ba50cc03bff1f
| 152
|
py
|
Python
|
kfdda/models/__init__.py
|
ll1l11/pymysql-test
|
de5747366bbf23ecb0b1f01059b3a69c8ac4936d
|
[
"MIT"
] | null | null | null |
kfdda/models/__init__.py
|
ll1l11/pymysql-test
|
de5747366bbf23ecb0b1f01059b3a69c8ac4936d
|
[
"MIT"
] | null | null | null |
kfdda/models/__init__.py
|
ll1l11/pymysql-test
|
de5747366bbf23ecb0b1f01059b3a69c8ac4936d
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from ..core import db
from ..helpers import JSONSerializer
class BaseModel(db.Model, JSONSerializer):
__abstract__ = True
| 19
| 42
| 0.710526
| 18
| 152
| 5.777778
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007874
| 0.164474
| 152
| 7
| 43
| 21.714286
| 0.811024
| 0.138158
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
32e4f05624819cc83857abc3b6af4086f2c2a88e
| 167
|
py
|
Python
|
setup.py
|
kimballa/arduino-dbg
|
639d73b6d96996218cf9aafde52f3683c9d93775
|
[
"BSD-3-Clause"
] | null | null | null |
setup.py
|
kimballa/arduino-dbg
|
639d73b6d96996218cf9aafde52f3683c9d93775
|
[
"BSD-3-Clause"
] | null | null | null |
setup.py
|
kimballa/arduino-dbg
|
639d73b6d96996218cf9aafde52f3683c9d93775
|
[
"BSD-3-Clause"
] | null | null | null |
# Minimal setup.py
#
# Enables installing requirements as declared in setup.cfg.
# From this directory, run:
# pip install .
from setuptools import setup
setup()
| 18.555556
| 59
| 0.736527
| 22
| 167
| 5.590909
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.185629
| 167
| 8
| 60
| 20.875
| 0.904412
| 0.706587
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
32ff2b91e7cdacd12f1c52a76ec14a6214fafa45
| 452
|
py
|
Python
|
main.py
|
rishi-chauhan/sudoku
|
2b07954b2f3ab5146ab0f96eb4d0509a3ea45eb2
|
[
"MIT"
] | null | null | null |
main.py
|
rishi-chauhan/sudoku
|
2b07954b2f3ab5146ab0f96eb4d0509a3ea45eb2
|
[
"MIT"
] | null | null | null |
main.py
|
rishi-chauhan/sudoku
|
2b07954b2f3ab5146ab0f96eb4d0509a3ea45eb2
|
[
"MIT"
] | null | null | null |
"""Main class for sudoku game. Run this to solve the game."""
from board import Board
# ENTRIES contains the values of each cell
ENTRIES = [0, 0, 0, 2, 6, 0, 7, 0, 1, 6, 8, 0, 0, 7, 0, 0, 9, 0, 1,
9, 0, 0, 0, 4, 5, 0, 0, 8, 2, 0, 1, 0, 0, 0, 4, 0, 0,
0, 4, 6, 0, 2, 9, 0, 0, 0, 5, 0, 0, 0, 3, 0, 2, 8, 0,
0, 9, 3, 0, 0, 0, 7, 4, 0, 4, 0, 0, 5, 0, 0, 3, 6, 7,
0, 3, 0, 1, 8, 0, 0, 0]
board = Board(ENTRIES)
| 37.666667
| 67
| 0.446903
| 107
| 452
| 1.88785
| 0.271028
| 0.217822
| 0.118812
| 0.059406
| 0.049505
| 0
| 0
| 0
| 0
| 0
| 0
| 0.272727
| 0.34292
| 452
| 11
| 68
| 41.090909
| 0.407407
| 0.214602
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.142857
| 0
| 0.142857
| 0
| 0
| 0
| 1
| null | 1
| 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
| 4
|
fd51dbb2cb05ef487bcf83c509336b681bc19872
| 769
|
py
|
Python
|
regcore/tests/layer_tests.py
|
navigo/regulations-core
|
0b2a2034baacfa1cc5ff87f14db7d1aaa8d260c3
|
[
"CC0-1.0"
] | 17
|
2016-06-14T19:06:02.000Z
|
2021-10-03T23:46:00.000Z
|
regcore/tests/layer_tests.py
|
navigo/regulations-core
|
0b2a2034baacfa1cc5ff87f14db7d1aaa8d260c3
|
[
"CC0-1.0"
] | 42
|
2016-04-06T22:34:26.000Z
|
2020-04-14T22:00:24.000Z
|
regcore/tests/layer_tests.py
|
navigo/regulations-core
|
0b2a2034baacfa1cc5ff87f14db7d1aaa8d260c3
|
[
"CC0-1.0"
] | 20
|
2016-05-04T06:04:34.000Z
|
2020-10-07T16:16:03.000Z
|
from django.test import TestCase
from regcore.layer import standardize_params
class LayerParamsTests(TestCase):
def test_old_format(self):
lp = standardize_params('label', 'version')
self.assertEqual(lp.doc_type, 'cfr')
self.assertEqual(lp.doc_id, 'version/label')
self.assertEqual(lp.tree_id, 'label')
def test_new_format(self):
lp = standardize_params('cfr', 'version/label')
self.assertEqual(lp.doc_type, 'cfr')
self.assertEqual(lp.doc_id, 'version/label')
self.assertEqual(lp.tree_id, 'label')
lp = standardize_params('preamble', 'docid')
self.assertEqual(lp.doc_type, 'preamble')
self.assertEqual(lp.doc_id, 'docid')
self.assertEqual(lp.tree_id, 'docid')
| 33.434783
| 55
| 0.669701
| 96
| 769
| 5.1875
| 0.28125
| 0.271084
| 0.307229
| 0.240964
| 0.636546
| 0.35743
| 0.35743
| 0.35743
| 0.35743
| 0.35743
| 0
| 0
| 0.19896
| 769
| 22
| 56
| 34.954545
| 0.808442
| 0
| 0
| 0.352941
| 0
| 0
| 0.131339
| 0
| 0
| 0
| 0
| 0
| 0.529412
| 1
| 0.117647
| false
| 0
| 0.117647
| 0
| 0.294118
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b5bf895845b26e76fb4d05e08f9ee6d0b182cce7
| 37
|
py
|
Python
|
reto_numeros_nones.py
|
Naxred/PensamientoComputacionalPython
|
a19fe394fd8b6265d486d432bbc5774d0cf35368
|
[
"Unlicense"
] | null | null | null |
reto_numeros_nones.py
|
Naxred/PensamientoComputacionalPython
|
a19fe394fd8b6265d486d432bbc5774d0cf35368
|
[
"Unlicense"
] | null | null | null |
reto_numeros_nones.py
|
Naxred/PensamientoComputacionalPython
|
a19fe394fd8b6265d486d432bbc5774d0cf35368
|
[
"Unlicense"
] | null | null | null |
for x in range(1,100,2):
print(x)
| 18.5
| 24
| 0.594595
| 9
| 37
| 2.444444
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 0.216216
| 37
| 2
| 25
| 18.5
| 0.586207
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 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
| 4
|
b5da3aa622fc6ae31ee50b900da3081886393cc7
| 215
|
py
|
Python
|
category_tree/helper.py
|
bharathramh92/shop
|
0c5800b2d36fbe1bfffaf555c3dc741d020aa5d7
|
[
"MIT"
] | 1
|
2016-05-27T22:13:37.000Z
|
2016-05-27T22:13:37.000Z
|
category_tree/helper.py
|
bharathramh92/shop
|
0c5800b2d36fbe1bfffaf555c3dc741d020aa5d7
|
[
"MIT"
] | null | null | null |
category_tree/helper.py
|
bharathramh92/shop
|
0c5800b2d36fbe1bfffaf555c3dc741d020aa5d7
|
[
"MIT"
] | null | null | null |
from category_tree.categories import data
def get_store_name_from_child(store_id):
while data[store_id]['parent_category'] is not None:
store_id = data[store_id]['parent_category']
return store_id
| 26.875
| 56
| 0.75814
| 33
| 215
| 4.575758
| 0.545455
| 0.231788
| 0.145695
| 0.225166
| 0.331126
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15814
| 215
| 7
| 57
| 30.714286
| 0.834254
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
|
0
| 4
|
b5f35bed476c5278cc37b5eb93da2b3545e9bfe8
| 957
|
py
|
Python
|
magmango/tests/test_potcar.py
|
nimalec/Magno
|
016bed1c2fb8275ac76ece3d0b7f39c4ebc45551
|
[
"MIT"
] | 1
|
2021-01-08T18:22:13.000Z
|
2021-01-08T18:22:13.000Z
|
magmango/tests/test_potcar.py
|
nimalec/Magno
|
016bed1c2fb8275ac76ece3d0b7f39c4ebc45551
|
[
"MIT"
] | null | null | null |
magmango/tests/test_potcar.py
|
nimalec/Magno
|
016bed1c2fb8275ac76ece3d0b7f39c4ebc45551
|
[
"MIT"
] | null | null | null |
import unittest
import os
import numpy as np
from pymatgen import Structure
from magmango.calculation.potcar import PotcarSettings
#
# class PotcarSettingsTest(unittest.TestCase):
# def setUp(self):
# self.potcar_file_path = "data/potcar_pto"
# #self.structure = Structure.from_file(self.poscar_file_path)
#
# def test_from_input(self):
# #poscar_sett = PoscarSettings(self.structure, self.poscar_file_path)
# #self.assertEqual(poscar_sett._structure, self.structure)
#
# # def test_from_file(self):
# # poscar_infile_sett = PoscarSettings()
# # poscar_infile_sett.poscar_from_file(self.poscar_file_path)
# # struct = poscar_infile_sett._structure
# # self.assertEqual(struct, self.structure)
#
# def test_update_settings(self):
# poscar_infile_sett = PoscarSettings()
# poscar_infile_sett.poscar_from_file(self.poscar_file_path)
# poscar_sett = poscar_infile_sett._structure
| 35.444444
| 76
| 0.736677
| 116
| 957
| 5.732759
| 0.284483
| 0.105263
| 0.144361
| 0.108271
| 0.285714
| 0.285714
| 0.246617
| 0.246617
| 0.246617
| 0.246617
| 0
| 0
| 0.167189
| 957
| 26
| 77
| 36.807692
| 0.834379
| 0.810867
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bd167da504ac1a51b81416178b209b951582f2de
| 583
|
py
|
Python
|
cpc/type/__init__.py
|
U-Ar/Cpresto
|
f723458fb237c9e3e8bc8a6afdf7c81858a65363
|
[
"BSD-3-Clause"
] | 1
|
2021-05-09T07:10:19.000Z
|
2021-05-09T07:10:19.000Z
|
cpc/type/__init__.py
|
U-Ar/Cpresto
|
f723458fb237c9e3e8bc8a6afdf7c81858a65363
|
[
"BSD-3-Clause"
] | null | null | null |
cpc/type/__init__.py
|
U-Ar/Cpresto
|
f723458fb237c9e3e8bc8a6afdf7c81858a65363
|
[
"BSD-3-Clause"
] | null | null | null |
from .ArrayType import *
from .ArrayTypeRef import *
from .CompositeType import *
from .FunctionType import *
from .FunctionTypeRef import *
from .IntegerType import *
from .IntegerTypeRef import *
from .NamedType import *
from .ParamTypes import *
from .PointerType import *
from .PointerTypeRef import *
from .StructType import *
from .StructTypeRef import *
from .Type import *
from .TypeRef import *
from .TypeTable import *
from .UnionType import *
from .UnionTypeRef import *
from .UserType import *
from .UserTypeRef import *
from .VoidType import *
from .VoidTypeRef import *
| 26.5
| 30
| 0.7753
| 66
| 583
| 6.848485
| 0.363636
| 0.464602
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149228
| 583
| 22
| 31
| 26.5
| 0.91129
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bd16c8b39601a36ca38158d3199f58ce464da6a0
| 41
|
py
|
Python
|
packages/speex.py
|
mhutch/bockbuild
|
0d989e2d0259d17d41a195f8d28b3844a4652e7b
|
[
"MIT"
] | null | null | null |
packages/speex.py
|
mhutch/bockbuild
|
0d989e2d0259d17d41a195f8d28b3844a4652e7b
|
[
"MIT"
] | null | null | null |
packages/speex.py
|
mhutch/bockbuild
|
0d989e2d0259d17d41a195f8d28b3844a4652e7b
|
[
"MIT"
] | null | null | null |
XiphPackage ('speex', 'speex', '1.2rc1')
| 20.5
| 40
| 0.634146
| 5
| 41
| 5.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081081
| 0.097561
| 41
| 1
| 41
| 41
| 0.621622
| 0
| 0
| 0
| 0
| 0
| 0.390244
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bd2f0d561dd6a11311d27d509b7dfde5f4ee84a5
| 114
|
py
|
Python
|
portabletext_html/__init__.py
|
otovo/python-sanity-html
|
e445dd9d0f05f8cfe424112e568f37c36e663096
|
[
"Apache-2.0"
] | 13
|
2021-04-14T11:19:20.000Z
|
2021-11-26T11:56:39.000Z
|
portabletext_html/__init__.py
|
otovo/python-sanity-html
|
e445dd9d0f05f8cfe424112e568f37c36e663096
|
[
"Apache-2.0"
] | 25
|
2021-04-14T12:48:50.000Z
|
2021-11-29T08:11:14.000Z
|
portabletext_html/__init__.py
|
otovo/python-portabletext-html
|
31718a70db58afd143976bf0edfb42239f1800dc
|
[
"Apache-2.0"
] | null | null | null |
from portabletext_html.renderer import PortableTextRenderer, render
__all__ = ['PortableTextRenderer', 'render']
| 28.5
| 67
| 0.824561
| 10
| 114
| 8.9
| 0.8
| 0.58427
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.087719
| 114
| 3
| 68
| 38
| 0.855769
| 0
| 0
| 0
| 0
| 0
| 0.22807
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
1fa2167771953e0aff81f31c29233d456380649d
| 67
|
py
|
Python
|
latex/slides/resources/01_getting_started/present_main.py
|
AntonObersteiner/python-lessons
|
1d5536f0777853fba437566672cfb1d613984945
|
[
"CC-BY-4.0"
] | null | null | null |
latex/slides/resources/01_getting_started/present_main.py
|
AntonObersteiner/python-lessons
|
1d5536f0777853fba437566672cfb1d613984945
|
[
"CC-BY-4.0"
] | null | null | null |
latex/slides/resources/01_getting_started/present_main.py
|
AntonObersteiner/python-lessons
|
1d5536f0777853fba437566672cfb1d613984945
|
[
"CC-BY-4.0"
] | null | null | null |
print(present("Py-Kurs", "am Di in der 5.", "dem FSR-Kurssystem"))
| 33.5
| 66
| 0.656716
| 12
| 67
| 3.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016949
| 0.119403
| 67
| 1
| 67
| 67
| 0.728814
| 0
| 0
| 0
| 0
| 0
| 0.597015
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
1ffbe3042328109603927698807569c875283801
| 180
|
py
|
Python
|
atividades/ex31.py
|
Fleen66/Python_exercises
|
fd05fdf1181da833a1a1bc9f4a476afc8f467977
|
[
"MIT"
] | null | null | null |
atividades/ex31.py
|
Fleen66/Python_exercises
|
fd05fdf1181da833a1a1bc9f4a476afc8f467977
|
[
"MIT"
] | null | null | null |
atividades/ex31.py
|
Fleen66/Python_exercises
|
fd05fdf1181da833a1a1bc9f4a476afc8f467977
|
[
"MIT"
] | null | null | null |
distancia = int(input('Digite a distancia de sua viagem: '))
if distancia <= 200:
preco = distancia * 0.50
print(preco)
else:
preco = distancia * 0.40
print(preco)
| 22.5
| 60
| 0.644444
| 25
| 180
| 4.64
| 0.64
| 0.241379
| 0.258621
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065217
| 0.233333
| 180
| 7
| 61
| 25.714286
| 0.775362
| 0
| 0
| 0.285714
| 0
| 0
| 0.188889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.285714
| 1
| 0
| 0
| null | 1
| 1
| 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
| 4
|
950b9bd680855e1bc01f2dffb96d063d03df4633
| 137
|
py
|
Python
|
plasmapy/utils/pytest_helpers/__init__.py
|
seanjunheng2/PlasmaPy
|
7b4e4aaf8b03d88b654456bca881329ade09e377
|
[
"BSD-2-Clause",
"MIT",
"BSD-2-Clause-Patent",
"BSD-1-Clause",
"BSD-3-Clause"
] | 429
|
2016-10-31T19:40:32.000Z
|
2022-03-25T12:27:11.000Z
|
plasmapy/utils/pytest_helpers/__init__.py
|
RAJAGOPALAN-GANGADHARAN/PlasmaPy
|
6df9583cc47375687a07300c0aa11ba31634d770
|
[
"BSD-2-Clause",
"MIT",
"BSD-2-Clause-Patent",
"BSD-1-Clause",
"BSD-3-Clause"
] | 1,400
|
2015-11-24T23:00:44.000Z
|
2022-03-30T21:03:25.000Z
|
plasmapy/utils/pytest_helpers/__init__.py
|
RAJAGOPALAN-GANGADHARAN/PlasmaPy
|
6df9583cc47375687a07300c0aa11ba31634d770
|
[
"BSD-2-Clause",
"MIT",
"BSD-2-Clause-Patent",
"BSD-1-Clause",
"BSD-3-Clause"
] | 289
|
2015-11-24T18:54:57.000Z
|
2022-03-18T17:26:59.000Z
|
from plasmapy.utils.pytest_helpers.pytest_helpers import (
assert_can_handle_nparray,
run_test,
run_test_equivalent_calls,
)
| 22.833333
| 58
| 0.79562
| 18
| 137
| 5.555556
| 0.777778
| 0.26
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145985
| 137
| 5
| 59
| 27.4
| 0.854701
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0
| true
| 0
| 0.2
| 0
| 0.2
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9512a6419412924d68f8311278ec236177bb738a
| 138
|
py
|
Python
|
api/models/province.py
|
krosben/api-ctan
|
01d5e29694e6f4e35fbe6797c319b109e5bc1c3f
|
[
"MIT"
] | null | null | null |
api/models/province.py
|
krosben/api-ctan
|
01d5e29694e6f4e35fbe6797c319b109e5bc1c3f
|
[
"MIT"
] | 6
|
2020-06-05T23:40:32.000Z
|
2021-06-10T19:03:25.000Z
|
api/models/province.py
|
krosben/api-ctan
|
01d5e29694e6f4e35fbe6797c319b109e5bc1c3f
|
[
"MIT"
] | null | null | null |
from django.db import models
class Province(models.Model):
name = models.CharField(max_length=50, help_text="Name of the province")
| 23
| 76
| 0.76087
| 21
| 138
| 4.904762
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016807
| 0.137681
| 138
| 5
| 77
| 27.6
| 0.84874
| 0
| 0
| 0
| 0
| 0
| 0.144928
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
1f17a8045e62dbb0dc195713bf778e0658496213
| 131
|
py
|
Python
|
src/pricehist/beanprice/alphavantage.py
|
chrisberkhout/pricehist
|
a54da85a6fae15e2f771e8612aed089407ec5c22
|
[
"MIT"
] | 4
|
2021-09-15T03:23:10.000Z
|
2022-02-08T23:31:10.000Z
|
src/pricehist/beanprice/alphavantage.py
|
chrisberkhout/pricehist
|
a54da85a6fae15e2f771e8612aed089407ec5c22
|
[
"MIT"
] | null | null | null |
src/pricehist/beanprice/alphavantage.py
|
chrisberkhout/pricehist
|
a54da85a6fae15e2f771e8612aed089407ec5c22
|
[
"MIT"
] | null | null | null |
from pricehist import beanprice
from pricehist.sources.alphavantage import AlphaVantage
Source = beanprice.source(AlphaVantage())
| 26.2
| 55
| 0.847328
| 14
| 131
| 7.928571
| 0.5
| 0.234234
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091603
| 131
| 4
| 56
| 32.75
| 0.932773
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
1f41eb6162eb883a714a301cdb2d992b3f4f957d
| 119
|
py
|
Python
|
examples/__init__.py
|
DiMoser/PyPinT
|
3cba394d0fd87055ab412d35fe6dbf4a3b0dbe73
|
[
"MIT"
] | null | null | null |
examples/__init__.py
|
DiMoser/PyPinT
|
3cba394d0fd87055ab412d35fe6dbf4a3b0dbe73
|
[
"MIT"
] | null | null | null |
examples/__init__.py
|
DiMoser/PyPinT
|
3cba394d0fd87055ab412d35fe6dbf4a3b0dbe73
|
[
"MIT"
] | null | null | null |
# coding=utf-8
"""Examples demonstrating usage of PyPinT
.. moduleauthor:: Torbjörn Klatt <t.klatt@fz-juelich.de>
"""
| 19.833333
| 56
| 0.722689
| 16
| 119
| 5.375
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009524
| 0.117647
| 119
| 5
| 57
| 23.8
| 0.809524
| 0.92437
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1f6aef11602a1e5873d6782928e3986a359ca69a
| 123
|
py
|
Python
|
carin/help.py
|
fiskurgit/Carin
|
41f5e8003d169f1f0454e7b674daf341d238f061
|
[
"Unlicense"
] | null | null | null |
carin/help.py
|
fiskurgit/Carin
|
41f5e8003d169f1f0454e7b674daf341d238f061
|
[
"Unlicense"
] | null | null | null |
carin/help.py
|
fiskurgit/Carin
|
41f5e8003d169f1f0454e7b674daf341d238f061
|
[
"Unlicense"
] | null | null | null |
def show_help():
print("Carbon Intensity API Help")
def show_bad_argument_help():
print("app -e generation")
| 11.181818
| 38
| 0.674797
| 17
| 123
| 4.647059
| 0.705882
| 0.177215
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.203252
| 123
| 10
| 39
| 12.3
| 0.806122
| 0
| 0
| 0
| 0
| 0
| 0.352941
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0
| 0.5
| 0.5
| 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
| 1
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
1f7102de5fec932b92f1cdaf56485f914e53929e
| 79
|
py
|
Python
|
pyup/settings.py
|
Callek/pyup
|
e29014320accdca2947b9e18c215d2144752081a
|
[
"MIT"
] | 445
|
2016-01-14T09:19:26.000Z
|
2022-03-16T13:19:33.000Z
|
pyup/settings.py
|
Callek/pyup
|
e29014320accdca2947b9e18c215d2144752081a
|
[
"MIT"
] | 387
|
2015-12-28T09:54:32.000Z
|
2022-01-04T00:45:00.000Z
|
pyup/settings.py
|
Callek/pyup
|
e29014320accdca2947b9e18c215d2144752081a
|
[
"MIT"
] | 96
|
2016-01-19T19:25:00.000Z
|
2021-09-30T18:22:02.000Z
|
api_key = None
def configure(key=None):
global api_key
api_key = key
| 11.285714
| 24
| 0.670886
| 13
| 79
| 3.846154
| 0.461538
| 0.36
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.253165
| 79
| 6
| 25
| 13.166667
| 0.847458
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1f907167fd216693dde972de5a46db5460599384
| 183
|
py
|
Python
|
src/emuvim/api/util/process_utils.py
|
RafaelSche/vim-emu
|
6503ba9fcbe13ca73c94d318157a1ba78ef26b5b
|
[
"Apache-2.0"
] | 34
|
2016-09-05T06:11:12.000Z
|
2021-12-24T08:45:24.000Z
|
src/emuvim/api/util/process_utils.py
|
RafaelSche/vim-emu
|
6503ba9fcbe13ca73c94d318157a1ba78ef26b5b
|
[
"Apache-2.0"
] | 89
|
2016-07-19T14:14:27.000Z
|
2020-01-09T07:19:45.000Z
|
src/emuvim/api/util/process_utils.py
|
RafaelSche/vim-emu
|
6503ba9fcbe13ca73c94d318157a1ba78ef26b5b
|
[
"Apache-2.0"
] | 32
|
2016-07-19T14:58:06.000Z
|
2020-05-05T13:30:01.000Z
|
import logging
import subprocess
import time
def wait_until(cmd):
logging.debug('waiting for %s\n' % cmd)
while subprocess.call(cmd, shell=True) != 0:
time.sleep(1)
| 18.3
| 48
| 0.677596
| 27
| 183
| 4.555556
| 0.740741
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013699
| 0.202186
| 183
| 9
| 49
| 20.333333
| 0.828767
| 0
| 0
| 0
| 0
| 0
| 0.087432
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.428571
| 0
| 0.571429
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
2f194f4c6d0e43f1d9af761e30aabf62de1d5d85
| 393
|
py
|
Python
|
tests/analysis/test_general.py
|
trumanw/ScaffoldGraph
|
a594e5c5effe6c5e45c0061a235ccbeb64e416f9
|
[
"MIT"
] | 121
|
2019-12-12T15:30:16.000Z
|
2022-02-28T02:00:54.000Z
|
tests/analysis/test_general.py
|
trumanw/ScaffoldGraph
|
a594e5c5effe6c5e45c0061a235ccbeb64e416f9
|
[
"MIT"
] | 8
|
2020-04-04T15:37:26.000Z
|
2021-11-17T07:30:31.000Z
|
tests/analysis/test_general.py
|
trumanw/ScaffoldGraph
|
a594e5c5effe6c5e45c0061a235ccbeb64e416f9
|
[
"MIT"
] | 28
|
2019-12-16T11:58:53.000Z
|
2021-11-19T09:57:46.000Z
|
"""
scaffoldgraph tests.analysis.test_general
"""
from scaffoldgraph.analysis import get_singleton_scaffolds, get_virtual_scaffolds
from ..test_network import long_test_network
def test_get_virtual_scaffolds(network):
v = get_virtual_scaffolds(network)
assert len(v) == 19
def test_get_singleton_scaffolds(network):
s = get_singleton_scaffolds(network)
assert len(s) == 3
| 23.117647
| 81
| 0.78626
| 52
| 393
| 5.596154
| 0.384615
| 0.219931
| 0.216495
| 0.178694
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008798
| 0.132316
| 393
| 16
| 82
| 24.5625
| 0.844575
| 0.104326
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
2f19e1c9987607e703c57f23deb45035eb248b71
| 87
|
py
|
Python
|
izone/apps/secret/apps.py
|
shenjl/vmatrix
|
8f510d04005aa707cb6b296825f459f852cb59f6
|
[
"MIT"
] | null | null | null |
izone/apps/secret/apps.py
|
shenjl/vmatrix
|
8f510d04005aa707cb6b296825f459f852cb59f6
|
[
"MIT"
] | 2
|
2020-02-11T23:34:28.000Z
|
2020-06-05T17:33:09.000Z
|
izone/apps/secret/apps.py
|
selonsy/vmatrix
|
8f510d04005aa707cb6b296825f459f852cb59f6
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class SecretConfig(AppConfig):
name = 'secret'
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| 33
| 0.747126
| 10
| 87
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| 0.9
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0
| 4
|
2f79b110e6695d3ccede296e521acb7c60c79294
| 889
|
py
|
Python
|
src/backend/common/models/notifications/tests/verification_test.py
|
bovlb/the-blue-alliance
|
29389649d96fe060688f218d463e642dcebfd6cc
|
[
"MIT"
] | null | null | null |
src/backend/common/models/notifications/tests/verification_test.py
|
bovlb/the-blue-alliance
|
29389649d96fe060688f218d463e642dcebfd6cc
|
[
"MIT"
] | null | null | null |
src/backend/common/models/notifications/tests/verification_test.py
|
bovlb/the-blue-alliance
|
29389649d96fe060688f218d463e642dcebfd6cc
|
[
"MIT"
] | null | null | null |
from backend.common.consts.notification_type import NotificationType
from backend.common.models.notifications.verification import (
VerificationNotification,
)
def test_str():
notification = VerificationNotification("https://thebluealliance.com/", "password")
assert "{'verification_key': " in str(notification)
def test_type():
assert VerificationNotification._type() == NotificationType.VERIFICATION
def test_data_payload():
notification = VerificationNotification("https://thebluealliance.com/", "password")
assert notification.data_payload is None
def test_webhook_message_data():
notification = VerificationNotification("https://thebluealliance.com/", "password")
assert notification.webhook_message_data is not None
verification_key = notification.webhook_message_data.get("verification_key", None)
assert verification_key is not None
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| 87
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| 90
| 889
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| 0.333333
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| 0.180617
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| 0.356828
| 0.356828
| 0.249633
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| 0.11811
| 889
| 25
| 88
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| 1
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| 0
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| null | 0
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|
0
| 4
|
85d564c27e33a35fe1a491c27c616e6e1a78f815
| 2,604
|
py
|
Python
|
DailyProgrammer/DP20160818B.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | 2
|
2020-12-23T18:59:22.000Z
|
2021-04-14T13:16:09.000Z
|
DailyProgrammer/DP20160818B.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
DailyProgrammer/DP20160818B.py
|
DayGitH/Python-Challenges
|
bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf
|
[
"MIT"
] | null | null | null |
"""
[2016-08-18] Challenge #279 [Intermediate] Text Reflow
https://www.reddit.com/r/dailyprogrammer/comments/4ybbcz/20160818_challenge_279_intermediate_text_reflow/
#Description:
Text reflow means to break up lines of text so that they fit within a certain width. It is useful in e.g. mobile
browsers. When you zoom in on a web page the lines will become too long to fit the width of the screen, unless the text
is broken up into shorter lines.
#Input:
You will be given a text with a maximum line width of 80 characters.
#Output:
Produce the same text with a maximum line width of 40 characters
#Challenge Input:
In the beginning God created the heavens and the earth. Now the earth was
formless and empty, darkness was over the surface of the deep, and the Spirit of
God was hovering over the waters.
And God said, "Let there be light," and there was light. God saw that the light
was good, and he separated the light from the darkness. God called the light
"day," and the darkness he called "night." And there was evening, and there was
morning - the first day.
#Challenge Output:
In the beginning God created the heavens
and the earth. Now the earth was
formless and empty, darkness was over
the surface of the deep, and the Spirit
of God was hovering over the waters.
And God said, "Let there be light," and
there was light. God saw that the light
was good, and he separated the light
from the darkness. God called the light
"day," and the darkness he called
"night." And there was evening, and
there was morning - the first day.
#Bonus:
Let's get rid of the jagged right margin of the text and make the output prettier. Output the text with full
justification; Adjusting the word spacing so that the text is flush against both the left and the right margin.
#Bonus Output:
In the beginning God created the heavens
and the earth. Now the earth was
formless and empty, darkness was over
the surface of the deep, and the Spirit
of God was hovering over the waters.
And God said, "Let there be light," and
there was light. God saw that the light
was good, and he separated the light
from the darkness. God called the light
"day," and the darkness he called
"night." And there was evening, and
there was morning - the first day.
#Finally
This challenge is posted by /u/slampropp
Also have a good challenge idea?
Consider submitting it to /r/dailyprogrammer_ideas
"""
def main():
pass
if __name__ == "__main__":
main()
| 40.061538
| 119
| 0.720814
| 431
| 2,604
| 4.322506
| 0.313225
| 0.032206
| 0.05314
| 0.027375
| 0.630703
| 0.594203
| 0.594203
| 0.565217
| 0.565217
| 0.565217
| 0
| 0.013487
| 0.231183
| 2,604
| 64
| 120
| 40.6875
| 0.917083
| 0.97235
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| true
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| null | 0
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| 0
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| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
c8063918c58e85541c9a3697d5b6790d29d944d4
| 103
|
py
|
Python
|
chapter2/chapter2_type_hints_01.py
|
GoodMonsters/Building-Data-Science-Applications-with-FastAPI
|
d2218d225c5b93723ecf46c19619ed5d3f2473e6
|
[
"MIT"
] | 107
|
2021-03-26T20:18:51.000Z
|
2022-03-26T03:38:08.000Z
|
chapter2/chapter2_type_hints_01.py
|
GoodMonsters/Building-Data-Science-Applications-with-FastAPI
|
d2218d225c5b93723ecf46c19619ed5d3f2473e6
|
[
"MIT"
] | 4
|
2021-06-09T08:48:21.000Z
|
2021-12-27T09:04:43.000Z
|
chapter2/chapter2_type_hints_01.py
|
GoodMonsters/Building-Data-Science-Applications-with-FastAPI
|
d2218d225c5b93723ecf46c19619ed5d3f2473e6
|
[
"MIT"
] | 58
|
2021-03-12T20:51:19.000Z
|
2022-03-27T15:49:49.000Z
|
def greeting(name: str) -> str:
return f"Hello, {name}"
print(greeting("John")) # "Hello, John"
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| 40
| 0.61165
| 14
| 103
| 4.5
| 0.642857
| 0
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| 0
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| 103
| 5
| 41
| 20.6
| 0.75
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| false
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| 0.666667
| 0.333333
| 1
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| null | 0
| 0
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| 0
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| 0
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| null | 0
| 0
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| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
c81398777499e20a3165a99b2f64b68aeafcfd64
| 54
|
py
|
Python
|
emma.py
|
patrickdijusto/python.hub
|
776a6a843dbd8895c414dcb8e7730c8cb2f3894d
|
[
"MIT"
] | null | null | null |
emma.py
|
patrickdijusto/python.hub
|
776a6a843dbd8895c414dcb8e7730c8cb2f3894d
|
[
"MIT"
] | null | null | null |
emma.py
|
patrickdijusto/python.hub
|
776a6a843dbd8895c414dcb8e7730c8cb2f3894d
|
[
"MIT"
] | null | null | null |
def fun(name, age=20):
print(name, age)
fun('Emma')
| 10.8
| 22
| 0.62963
| 10
| 54
| 3.4
| 0.7
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 0.148148
| 54
| 4
| 23
| 13.5
| 0.695652
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
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| 0.333333
| false
| 0
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| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c84446517bb1f74fa114d36c91ba50e5edd245d3
| 125,439
|
py
|
Python
|
scripts/ui/images_rc.py
|
ROOSTER-fleet-management/multi_robot_sim
|
c5f50b271e7c21d95a843ede1d9227720974764a
|
[
"Apache-2.0"
] | 1
|
2021-02-25T19:11:03.000Z
|
2021-02-25T19:11:03.000Z
|
scripts/ui/images_rc.py
|
ROOSTER-fleet-management/multi_robot_sim
|
c5f50b271e7c21d95a843ede1d9227720974764a
|
[
"Apache-2.0"
] | null | null | null |
scripts/ui/images_rc.py
|
ROOSTER-fleet-management/multi_robot_sim
|
c5f50b271e7c21d95a843ede1d9227720974764a
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt4 (Qt v4.8.7)
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore
qt_resource_data = "\
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def qInitResources():
QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
| 62.939789
| 129
| 0.726505
| 30,314
| 125,439
| 3.005674
| 0.009666
| 0.021073
| 0.015804
| 0.00698
| 0.044022
| 0.040301
| 0.039643
| 0.036416
| 0.032432
| 0.030226
| 0
| 0.320359
| 0.016287
| 125,439
| 1,992
| 130
| 62.971386
| 0.418028
| 0.001204
| 0
| 0.033367
| 0
| 0.949444
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| 0
| 0
| 1
| 0.000064
| 0
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| 1
| 0.001011
| false
| 0
| 0.000506
| 0
| 0.001517
| 0
| 0
| 0
| 0
| null | 0
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| 0
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| 0
| 1
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| 0
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| 0
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| 1
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| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c856f5773044e5156600553546b88ed62d7ca1dd
| 235
|
py
|
Python
|
trip_distributer/admin.py
|
princegoyani/TRIP-DISTRIBUTER
|
22793ae603508c9388d03f044759dc925462595a
|
[
"BSD-3-Clause"
] | null | null | null |
trip_distributer/admin.py
|
princegoyani/TRIP-DISTRIBUTER
|
22793ae603508c9388d03f044759dc925462595a
|
[
"BSD-3-Clause"
] | null | null | null |
trip_distributer/admin.py
|
princegoyani/TRIP-DISTRIBUTER
|
22793ae603508c9388d03f044759dc925462595a
|
[
"BSD-3-Clause"
] | null | null | null |
from django.contrib import admin
from .models import User , Trip, Notification , Spending
# Register your models here.
admin.site.register(User)
admin.site.register(Trip)
admin.site.register(Notification)
admin.site.register(Spending)
| 29.375
| 56
| 0.808511
| 32
| 235
| 5.9375
| 0.4375
| 0.189474
| 0.357895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093617
| 235
| 8
| 57
| 29.375
| 0.892019
| 0.110638
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
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| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c867e56be1f71eb568a6e918ed29a6d7c65c450d
| 58
|
py
|
Python
|
mean-var-std/main.py
|
PedroEduardoSS/Data-Analisys-projects
|
f06c2d7091a9a61509525019f2f0375e21698f6a
|
[
"MIT"
] | null | null | null |
mean-var-std/main.py
|
PedroEduardoSS/Data-Analisys-projects
|
f06c2d7091a9a61509525019f2f0375e21698f6a
|
[
"MIT"
] | null | null | null |
mean-var-std/main.py
|
PedroEduardoSS/Data-Analisys-projects
|
f06c2d7091a9a61509525019f2f0375e21698f6a
|
[
"MIT"
] | null | null | null |
from mean_var_std import *
calculate([0,1,2,3,4,5,6,7,8])
| 19.333333
| 30
| 0.689655
| 15
| 58
| 2.533333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169811
| 0.086207
| 58
| 3
| 30
| 19.333333
| 0.54717
| 0
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| 1
| 0
| 0
| 0
|
0
| 4
|
c0712de2126b7958548be086996c8304d5bf2f45
| 89
|
py
|
Python
|
Project/Connect/apps.py
|
AashishKhanal69/PeakyBlinders_ADC7_PartII
|
a4474c02be4ee8f8405b51df2f1d215e56ac192d
|
[
"bzip2-1.0.6"
] | null | null | null |
Project/Connect/apps.py
|
AashishKhanal69/PeakyBlinders_ADC7_PartII
|
a4474c02be4ee8f8405b51df2f1d215e56ac192d
|
[
"bzip2-1.0.6"
] | null | null | null |
Project/Connect/apps.py
|
AashishKhanal69/PeakyBlinders_ADC7_PartII
|
a4474c02be4ee8f8405b51df2f1d215e56ac192d
|
[
"bzip2-1.0.6"
] | null | null | null |
from django.apps import AppConfig
class ConnectConfig(AppConfig):
name = 'Connect'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
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| 0.078652
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
| false
| 0
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| 0
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| 1
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
c074c692de4483f97d3f233f58a66ad3a9239b2d
| 1,337
|
py
|
Python
|
src/scs_core/osio/data/message_body.py
|
seoss/scs_core
|
0d4323c5697a39eb44a887f179ba5dca3716c1d2
|
[
"MIT"
] | 3
|
2019-03-12T01:59:58.000Z
|
2020-09-12T07:27:42.000Z
|
src/scs_core/osio/data/message_body.py
|
seoss/scs_core
|
0d4323c5697a39eb44a887f179ba5dca3716c1d2
|
[
"MIT"
] | 1
|
2018-04-20T07:58:38.000Z
|
2021-03-27T08:52:45.000Z
|
src/scs_core/osio/data/message_body.py
|
seoss/scs_core
|
0d4323c5697a39eb44a887f179ba5dca3716c1d2
|
[
"MIT"
] | 4
|
2017-09-29T13:08:43.000Z
|
2019-10-09T09:13:58.000Z
|
"""
Created on 7 Nov 2016
@author: Bruno Beloff (bruno.beloff@southcoastscience.com)
example:
25 June 2016 17:44:28 BST: {"datum":{"conc":92,"dens":184},"measured-at":"2016-06-25T17:41:01+01:00"}
"""
from collections import OrderedDict
from scs_core.data.json import JSONable
# --------------------------------------------------------------------------------------------------------------------
class MessageBody(JSONable):
"""
classdocs
"""
# ----------------------------------------------------------------------------------------------------------------
def __init__(self, data):
"""
Constructor
"""
self.__data = data # string
# ----------------------------------------------------------------------------------------------------------------
def as_json(self):
jdict = OrderedDict()
jdict['data'] = self.data
return jdict
# ----------------------------------------------------------------------------------------------------------------
@property
def data(self):
return self.__data
# ----------------------------------------------------------------------------------------------------------------
def __str__(self, *args, **kwargs):
return "MessageBody:{data:%s}" % self.data
| 25.711538
| 118
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| 119
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| false
| 0
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| 0.714286
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| 1
| 1
| 0
|
0
| 4
|
c07be394b73091661999efe65e37d5d6f073209b
| 4,205
|
py
|
Python
|
src/evaluation/regression.py
|
lyonva/Nue
|
90680de00b0c76f6bfdbed71b785671e7c3a3f54
|
[
"Apache-2.0"
] | null | null | null |
src/evaluation/regression.py
|
lyonva/Nue
|
90680de00b0c76f6bfdbed71b785671e7c3a3f54
|
[
"Apache-2.0"
] | null | null | null |
src/evaluation/regression.py
|
lyonva/Nue
|
90680de00b0c76f6bfdbed71b785671e7c3a3f54
|
[
"Apache-2.0"
] | null | null | null |
from evaluation import MetricScorer
from .formulas import mar, sa, sd, sdar, effect_size, mmre, mdmre, pred25, pred40
from baseline import MARP0
class MAR(MetricScorer):
def setConstants(self):
self.name = "mar"
self.problem = "regression"
self.greater_is_better = False
self.lo = 0
self.hi = 20000 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return mar(self, y_true, y_pred)
class SDAR(MetricScorer):
def setConstants(self):
self.name = "sdar"
self.problem = "regression"
self.greater_is_better = False
self.lo = 0
self.hi = 200000 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return sdar(self, y_true, y_pred)
class SA(MetricScorer):
def setConstants(self):
self.name = "sa"
self.problem = "regression"
self.greater_is_better = True
self.lo = 0
self.hi = 1 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return sa(self, y_true, y_pred)
class SD(MetricScorer):
def setConstants(self):
self.name = "sd"
self.problem = "regression"
self.greater_is_better = True
self.lo = 0
self.hi = 1 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return sd(self, y_true, y_pred)
class EFFECTSIZE(MetricScorer):
def setConstants(self):
self.name = "effect size"
self.problem = "regression"
self.greater_is_better = True
self.lo = 0
self.hi = 1 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return effect_size(self, y_true, y_pred)
class MMRE(MetricScorer):
def setConstants(self):
self.name = "mmre"
self.problem = "regression"
self.greater_is_better = False
self.lo = 0
self.hi = 20000 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return mmre(self, y_true, y_pred)
class MdMRE(MetricScorer):
def setConstants(self):
self.name = "mdmre"
self.problem = "regression"
self.greater_is_better = False
self.lo = 0
self.hi = 20000 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return mdmre(self, y_true, y_pred)
class PRED25(MetricScorer):
def setConstants(self):
self.name = "pred25"
self.problem = "regression"
self.greater_is_better = True
self.lo = 0
self.hi = 1 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return pred25(self, y_true, y_pred)
class PRED40(MetricScorer):
def setConstants(self):
self.name = "pred40"
self.problem = "regression"
self.greater_is_better = True
self.lo = 0
self.hi = 1 # Not really, but upped bound is infinity
self.baseline = MARP0
self.unifeature = False
self.composite = None
def _score_func(self, y_true, y_pred, X=None, estimator=None):
return pred40(self, y_true, y_pred)
| 31.616541
| 81
| 0.617122
| 545
| 4,205
| 4.625688
| 0.095413
| 0.0357
| 0.06426
| 0.0714
| 0.90004
| 0.894486
| 0.694962
| 0.694962
| 0.694962
| 0.694962
| 0
| 0.020518
| 0.292985
| 4,205
| 133
| 82
| 31.616541
| 0.827447
| 0.085375
| 0
| 0.720721
| 0
| 0
| 0.034663
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.162162
| false
| 0
| 0.027027
| 0.081081
| 0.351351
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c0a387ecd74cdd18e1dae76a145f773dea75a7b7
| 262
|
py
|
Python
|
src/syntax/statements/__init__.py
|
andaviaco/tronido
|
08a1619a0e8c10f35ed6710eb6e1f72dc5b87421
|
[
"MIT"
] | null | null | null |
src/syntax/statements/__init__.py
|
andaviaco/tronido
|
08a1619a0e8c10f35ed6710eb6e1f72dc5b87421
|
[
"MIT"
] | null | null | null |
src/syntax/statements/__init__.py
|
andaviaco/tronido
|
08a1619a0e8c10f35ed6710eb6e1f72dc5b87421
|
[
"MIT"
] | null | null | null |
from .ifstat import IfStat
from .returnstat import ReturnStat
from .whilestat import WhileStat
from .breakstat import BreakStat
from .switchstat import SwitchStat
from .casestat import CaseStat
from .forstat import ForStat
from .continuestat import ContinueStat
| 29.111111
| 38
| 0.847328
| 32
| 262
| 6.9375
| 0.3125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122137
| 262
| 8
| 39
| 32.75
| 0.965217
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
c0a82c8edb06be2ad657e3733a1e2ee863cd955f
| 32
|
py
|
Python
|
resolwe/rest/__init__.py
|
plojyon/resolwe
|
1bee6f0860fdd087534adf1680e9350d79ab97cf
|
[
"Apache-2.0"
] | 27
|
2015-12-07T18:29:12.000Z
|
2022-03-16T08:01:47.000Z
|
resolwe/rest/__init__.py
|
plojyon/resolwe
|
1bee6f0860fdd087534adf1680e9350d79ab97cf
|
[
"Apache-2.0"
] | 681
|
2015-12-01T11:52:24.000Z
|
2022-03-21T07:43:37.000Z
|
resolwe/rest/__init__.py
|
plojyon/resolwe
|
1bee6f0860fdd087534adf1680e9350d79ab97cf
|
[
"Apache-2.0"
] | 28
|
2015-12-01T08:32:57.000Z
|
2021-12-14T00:04:16.000Z
|
"""Resolwe REST API helpers."""
| 16
| 31
| 0.65625
| 4
| 32
| 5.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 32
| 1
| 32
| 32
| 0.75
| 0.78125
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c0d6aa4598374762a450e52b8af29f49f301387d
| 105
|
py
|
Python
|
oyster/celeryconfig.py
|
jamesturk/oyster
|
c6e93fdd48ed1ead1ea5b163c6ba9cf227f831ae
|
[
"BSD-3-Clause"
] | 1
|
2020-09-03T08:10:43.000Z
|
2020-09-03T08:10:43.000Z
|
oyster/celeryconfig.py
|
jamesturk/oyster
|
c6e93fdd48ed1ead1ea5b163c6ba9cf227f831ae
|
[
"BSD-3-Clause"
] | null | null | null |
oyster/celeryconfig.py
|
jamesturk/oyster
|
c6e93fdd48ed1ead1ea5b163c6ba9cf227f831ae
|
[
"BSD-3-Clause"
] | null | null | null |
from oyster.conf import settings
CELERY_IMPORTS = ['oyster.tasks'] + list(settings.CELERY_TASK_MODULES)
| 26.25
| 70
| 0.8
| 14
| 105
| 5.785714
| 0.785714
| 0.345679
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.095238
| 105
| 3
| 71
| 35
| 0.852632
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
c0d85d28668ecd7ceba3957da1e2fcc7a48d395d
| 83
|
py
|
Python
|
kwueBackend/kwue/apps.py
|
bounswe/bounswe2016group4
|
cbc8201aa86049b81f20ef44ee37eb065a469d46
|
[
"Apache-2.0"
] | 6
|
2016-02-14T18:04:48.000Z
|
2016-12-18T20:09:15.000Z
|
kwueBackend/kwue/apps.py
|
bounswe/bounswe2016group4
|
cbc8201aa86049b81f20ef44ee37eb065a469d46
|
[
"Apache-2.0"
] | 113
|
2016-02-14T18:06:57.000Z
|
2021-06-10T17:57:12.000Z
|
kwueBackend/kwue/apps.py
|
bounswe/bounswe2016group4
|
cbc8201aa86049b81f20ef44ee37eb065a469d46
|
[
"Apache-2.0"
] | 1
|
2017-02-15T18:48:55.000Z
|
2017-02-15T18:48:55.000Z
|
from django.apps import AppConfig
class KwueConfig(AppConfig):
name = 'kwue'
| 13.833333
| 33
| 0.73494
| 10
| 83
| 6.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180723
| 83
| 5
| 34
| 16.6
| 0.897059
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
8d0629eab200e0d853386685fca3ce29b3fc85c5
| 295
|
py
|
Python
|
models/account.py
|
Tingesplatform/tokenomics
|
b541a54b1709a1282c5133e731b26a6ca05ac901
|
[
"MIT"
] | 2
|
2021-01-12T04:44:06.000Z
|
2022-03-15T23:34:41.000Z
|
models/account.py
|
Tingesplatform/tokenomics
|
b541a54b1709a1282c5133e731b26a6ca05ac901
|
[
"MIT"
] | 5
|
2019-01-14T07:17:34.000Z
|
2021-06-01T23:38:58.000Z
|
models/account.py
|
Tingesplatform/tokenomics
|
b541a54b1709a1282c5133e731b26a6ca05ac901
|
[
"MIT"
] | 2
|
2019-01-11T17:07:48.000Z
|
2022-03-03T17:26:41.000Z
|
import os
class Account:
ACCOUNTS_STORAGE = {}
"""Ethereum account"""
def __init__(self):
self.address = "0x" + os.urandom(20).hex()
self.ACCOUNTS_STORAGE[self.address] = self
def __str__(self):
return f'Account {self.address}'
__repr__ = __str__
| 19.666667
| 50
| 0.616949
| 34
| 295
| 4.823529
| 0.558824
| 0.20122
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013636
| 0.254237
| 295
| 14
| 51
| 21.071429
| 0.731818
| 0
| 0
| 0
| 0
| 0
| 0.087912
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.111111
| 0.777778
| 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
| 1
| 1
| 0
|
0
| 4
|
23944dce2a5292a5f4dccddbeb6c459b0db88881
| 821
|
py
|
Python
|
punk/aggregator/aggregateByDateTimeCategory.py
|
NewKnowledge/punk
|
53007a38433023f9a9f5cf39786b1c5a28f1f996
|
[
"MIT"
] | 2
|
2017-08-23T16:58:01.000Z
|
2020-07-03T01:53:34.000Z
|
punk/aggregator/aggregateByDateTimeCategory.py
|
NewKnowledge/punk
|
53007a38433023f9a9f5cf39786b1c5a28f1f996
|
[
"MIT"
] | 11
|
2017-08-18T17:19:21.000Z
|
2022-03-18T15:54:40.000Z
|
punk/aggregator/aggregateByDateTimeCategory.py
|
NewKnowledge/punk
|
53007a38433023f9a9f5cf39786b1c5a28f1f996
|
[
"MIT"
] | 2
|
2017-09-11T19:38:04.000Z
|
2020-05-28T00:58:05.000Z
|
import pandas as pd
from typing import List, NamedTuple
from .timeseries import agg_by_category_by_date
from primitive_interfaces.base import PrimitiveBase
class AggregateByDateTimeCategory(PrimitiveBase[pd.DataFrame, List[str]]):
__author__ = 'distil'
def __init__(self):
pass
def get_params(self) -> dict:
return {}
def set_params(self, params: dict) -> None:
self.params = params
def get_call_metadata(self) -> {}:
return {}
def fit(self):
pass
def produce(self, inputs: pd.DataFrame, values: List[str] = [], groupby : List[str] = [],
datetime=None, intervals=None, aggregation=None):
return agg_by_category_by_date(inputs, datetime, values, groupby, interval=intervals,
agg=aggregation)
| 28.310345
| 94
| 0.65408
| 94
| 821
| 5.489362
| 0.468085
| 0.040698
| 0.050388
| 0.05814
| 0.073643
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.247259
| 821
| 28
| 95
| 29.321429
| 0.834951
| 0
| 0
| 0.2
| 0
| 0
| 0.007308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.3
| false
| 0.1
| 0.2
| 0.15
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
23971993e9893cd5f385730b84276166fd285f88
| 184
|
py
|
Python
|
printshops/apps.py
|
amid-africa/photoorder
|
407cf58b3dbd3e2144a8533f489889295f946776
|
[
"MIT"
] | null | null | null |
printshops/apps.py
|
amid-africa/photoorder
|
407cf58b3dbd3e2144a8533f489889295f946776
|
[
"MIT"
] | null | null | null |
printshops/apps.py
|
amid-africa/photoorder
|
407cf58b3dbd3e2144a8533f489889295f946776
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class PrintshopsConfig(AppConfig):
name = 'printshops'
""" Register our signals """
def ready(self):
import printshops.signals
| 18.4
| 34
| 0.684783
| 19
| 184
| 6.631579
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222826
| 184
| 9
| 35
| 20.444444
| 0.881119
| 0
| 0
| 0
| 0
| 0
| 0.064103
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 1
| 0.4
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
23a0582a156a5116f9a3e62beef47135533e30c9
| 203
|
py
|
Python
|
tests/decisionreqdef/test_module.py
|
fasfoxcom/pycamunda
|
6bbebe1db40ce9fb29a9d420366e6dca1892df7b
|
[
"MIT"
] | null | null | null |
tests/decisionreqdef/test_module.py
|
fasfoxcom/pycamunda
|
6bbebe1db40ce9fb29a9d420366e6dca1892df7b
|
[
"MIT"
] | null | null | null |
tests/decisionreqdef/test_module.py
|
fasfoxcom/pycamunda
|
6bbebe1db40ce9fb29a9d420366e6dca1892df7b
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
def test_all_contains_only_valid_names():
import pycamunda.decisionreqdef
for name in pycamunda.decisionreqdef.__all__:
getattr(pycamunda.decisionreqdef, name)
| 22.555556
| 49
| 0.73399
| 23
| 203
| 6.086957
| 0.73913
| 0.492857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005917
| 0.167488
| 203
| 8
| 50
| 25.375
| 0.822485
| 0.103448
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
23bd7796ce5dbbe94cd644365987adb6f71698db
| 191
|
py
|
Python
|
mtga_event_prize_level.py
|
everybodyeverybody/mtga_earnings_calculator
|
4be67e37299c122eba110eb07308426d8078c645
|
[
"MIT"
] | null | null | null |
mtga_event_prize_level.py
|
everybodyeverybody/mtga_earnings_calculator
|
4be67e37299c122eba110eb07308426d8078c645
|
[
"MIT"
] | null | null | null |
mtga_event_prize_level.py
|
everybodyeverybody/mtga_earnings_calculator
|
4be67e37299c122eba110eb07308426d8078c645
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3.7
from decimal import Decimal
from collections import namedtuple
EventPrizeLevel = namedtuple(
"EventPrizeLevel", ["packs", "gems", "gold"], defaults=[0, 0, 0],
)
| 23.875
| 69
| 0.712042
| 23
| 191
| 5.913043
| 0.695652
| 0.367647
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.030303
| 0.136126
| 191
| 7
| 70
| 27.285714
| 0.793939
| 0.120419
| 0
| 0
| 0
| 0
| 0.167665
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
23d1de5c4b1de87a253332547b768f99517edb24
| 326
|
py
|
Python
|
lfs/core/admin.py
|
restless/django-lfs
|
4058f9d45b416ef2e8c28a87856ea0f1550b523d
|
[
"BSD-3-Clause"
] | 1
|
2020-02-26T03:07:39.000Z
|
2020-02-26T03:07:39.000Z
|
lfs/core/admin.py
|
mxins/django-lfs
|
bf42ed80ce0e1ec96db6ab985adcc614ea79dfc8
|
[
"BSD-3-Clause"
] | null | null | null |
lfs/core/admin.py
|
mxins/django-lfs
|
bf42ed80ce0e1ec96db6ab985adcc614ea79dfc8
|
[
"BSD-3-Clause"
] | null | null | null |
# django imports
from django.contrib import admin
# lfs imports
from lfs.core.models import Action
from lfs.core.models import ActionGroup
from lfs.core.models import Shop
from lfs.core.models import Country
admin.site.register(Shop)
admin.site.register(Action)
admin.site.register(ActionGroup)
admin.site.register(Country)
| 23.285714
| 39
| 0.819018
| 49
| 326
| 5.44898
| 0.306122
| 0.104869
| 0.164794
| 0.254682
| 0.344569
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09816
| 326
| 13
| 40
| 25.076923
| 0.908163
| 0.079755
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| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
23ecadb81a5ec6b2f9e0c728e946a750d6f1f36e
| 93
|
py
|
Python
|
modules/tankshapes/__init__.py
|
bullseyestudio/guns-game
|
3104c44e43ea7f000f6b9e756d622f98110d0a21
|
[
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
modules/tankshapes/__init__.py
|
bullseyestudio/guns-game
|
3104c44e43ea7f000f6b9e756d622f98110d0a21
|
[
"Apache-2.0",
"BSD-3-Clause"
] | 1
|
2018-11-21T04:50:57.000Z
|
2018-11-21T04:50:57.000Z
|
modules/tankshapes/__init__.py
|
bullseyestudio/guns-game
|
3104c44e43ea7f000f6b9e756d622f98110d0a21
|
[
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null |
""" Tank shapes package for Guns.
This init file marks the package as a usable module.
"""
| 15.5
| 52
| 0.709677
| 15
| 93
| 4.4
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.204301
| 93
| 5
| 53
| 18.6
| 0.891892
| 0.892473
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
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| 0
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| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
23edadd6c1315ae3bef9cd266a3d92857c911930
| 229
|
py
|
Python
|
tfbs_footprinter-runner.py
|
thirtysix/TFBS_footprinting
|
f627e0a5186e00fe166dad46b21d9b2742b51760
|
[
"MIT"
] | null | null | null |
tfbs_footprinter-runner.py
|
thirtysix/TFBS_footprinting
|
f627e0a5186e00fe166dad46b21d9b2742b51760
|
[
"MIT"
] | null | null | null |
tfbs_footprinter-runner.py
|
thirtysix/TFBS_footprinting
|
f627e0a5186e00fe166dad46b21d9b2742b51760
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Convenience wrapper for running tfbs_footprinter directly from source tree."""
from tfbs_footprinter.tfbs_footprinter import main
if __name__ == '__main__':
main()
| 17.615385
| 81
| 0.694323
| 28
| 229
| 5.285714
| 0.75
| 0.304054
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005319
| 0.179039
| 229
| 12
| 82
| 19.083333
| 0.781915
| 0.515284
| 0
| 0
| 0
| 0
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 1
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| 0
| null | 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9b019d69f7dc7afa332c3b317d1c035ebf327b40
| 94
|
py
|
Python
|
dive_sites/apps.py
|
Scuba-Chris/dive_site_api
|
9c5f2a26e6c8a1e2eeaf6cd1b4174e764f83a6b6
|
[
"MIT"
] | null | null | null |
dive_sites/apps.py
|
Scuba-Chris/dive_site_api
|
9c5f2a26e6c8a1e2eeaf6cd1b4174e764f83a6b6
|
[
"MIT"
] | 7
|
2020-06-05T21:03:39.000Z
|
2021-09-22T18:33:33.000Z
|
dive_sites/apps.py
|
Scuba-Chris/dive_site_api
|
9c5f2a26e6c8a1e2eeaf6cd1b4174e764f83a6b6
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class DiveSitesConfig(AppConfig):
name = 'dive_sites'
| 15.666667
| 33
| 0.765957
| 11
| 94
| 6.454545
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159574
| 94
| 5
| 34
| 18.8
| 0.898734
| 0
| 0
| 0
| 0
| 0
| 0.106383
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
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| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
9b076c62dfd81be9905f0f82e953e93e7d7c02e5
| 313
|
py
|
Python
|
covid19_id/pemeriksaan_vaksinasi/vaksinasi_harian.py
|
hexatester/covid19-id
|
8d8aa3f9092a40461a308f4db054ab4f95374849
|
[
"MIT"
] | null | null | null |
covid19_id/pemeriksaan_vaksinasi/vaksinasi_harian.py
|
hexatester/covid19-id
|
8d8aa3f9092a40461a308f4db054ab4f95374849
|
[
"MIT"
] | null | null | null |
covid19_id/pemeriksaan_vaksinasi/vaksinasi_harian.py
|
hexatester/covid19-id
|
8d8aa3f9092a40461a308f4db054ab4f95374849
|
[
"MIT"
] | null | null | null |
import attr
from covid19_id.utils import ValueInt
@attr.dataclass(slots=True)
class VaksinasiHarian:
key_as_string: str
key: int
doc_count: int
jumlah_vaksinasi_2: ValueInt
jumlah_vaksinasi_1: ValueInt
jumlah_jumlah_vaksinasi_1_kum: ValueInt
jumlah_jumlah_vaksinasi_2_kum: ValueInt
| 20.866667
| 43
| 0.782748
| 43
| 313
| 5.325581
| 0.55814
| 0.262009
| 0.139738
| 0.253275
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023166
| 0.172524
| 313
| 14
| 44
| 22.357143
| 0.861004
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.181818
| 0
| 0.909091
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
9b26d22dac1fa85ff57a7518cc0afd23693491bf
| 111
|
py
|
Python
|
adonai/user/api/queries.py
|
Egnod/adonai
|
b365d81c826fd7b626c9145154ee0136ea73fac1
|
[
"MIT"
] | 6
|
2020-01-20T20:02:09.000Z
|
2020-02-24T08:40:23.000Z
|
adonai/user/api/queries.py
|
Egnod/adonai
|
b365d81c826fd7b626c9145154ee0136ea73fac1
|
[
"MIT"
] | null | null | null |
adonai/user/api/queries.py
|
Egnod/adonai
|
b365d81c826fd7b626c9145154ee0136ea73fac1
|
[
"MIT"
] | null | null | null |
from .user.queries import UserQuery # isort:skip
from .user_group.queries import UserGroupQuery # isort:skip
| 37
| 60
| 0.801802
| 15
| 111
| 5.866667
| 0.6
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126126
| 111
| 2
| 61
| 55.5
| 0.907216
| 0.189189
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
f19bffe1d8db01545aa2bac87ec675c56149bef9
| 195
|
py
|
Python
|
kali/comandosOs.py
|
NandoDev-lab/AssistenteEmPython
|
3d6e7c4abef39154e710e82807d0534586294c1c
|
[
"MIT"
] | 1
|
2021-06-30T18:08:42.000Z
|
2021-06-30T18:08:42.000Z
|
kali/comandosOs.py
|
NandoDev-lab/AssistenteEmPython
|
3d6e7c4abef39154e710e82807d0534586294c1c
|
[
"MIT"
] | null | null | null |
kali/comandosOs.py
|
NandoDev-lab/AssistenteEmPython
|
3d6e7c4abef39154e710e82807d0534586294c1c
|
[
"MIT"
] | null | null | null |
import sys
import os
import subprocess
import pyautogui
import time
subprocess.run("C:/Windows/system32/cmd.exe")
time.sleep(3)
pyautogui.typewrite("python")
| 8.478261
| 46
| 0.651282
| 23
| 195
| 5.521739
| 0.695652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02069
| 0.25641
| 195
| 23
| 47
| 8.478261
| 0.855172
| 0
| 0
| 0
| 0
| 0
| 0.189655
| 0.155172
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.625
| 0
| 0.625
| 0
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| null | 0
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| 0
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| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
f1d17c8b8c557bcd6739e64fad4920995078f733
| 160
|
py
|
Python
|
7KYU/words_to_sentence.py
|
yaznasivasai/python_codewars
|
25493591dde4649dc9c1ec3bece8191a3bed6818
|
[
"MIT"
] | 4
|
2021-07-17T22:48:03.000Z
|
2022-03-25T14:10:58.000Z
|
7KYU/words_to_sentence.py
|
yaznasivasai/python_codewars
|
25493591dde4649dc9c1ec3bece8191a3bed6818
|
[
"MIT"
] | null | null | null |
7KYU/words_to_sentence.py
|
yaznasivasai/python_codewars
|
25493591dde4649dc9c1ec3bece8191a3bed6818
|
[
"MIT"
] | 3
|
2021-06-14T14:18:16.000Z
|
2022-03-16T06:02:02.000Z
|
def words_to_sentence(words: list) -> str:
""" This function create a string from a list of strings, separated by space. """
return ' '.join(words)
| 40
| 85
| 0.6625
| 23
| 160
| 4.521739
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.21875
| 160
| 4
| 86
| 40
| 0.832
| 0.45625
| 0
| 0
| 0
| 0
| 0.0125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
f1d3eb9d9dab05a31381c38ed24576dd96752996
| 920
|
py
|
Python
|
python_submitty_utils/tests/test_string_utils.py
|
zeez2030/Submitty
|
7118944ff4adc6f15d76984eb10a1e862926d724
|
[
"BSD-3-Clause"
] | 411
|
2016-06-14T20:52:25.000Z
|
2022-03-31T21:20:25.000Z
|
python_submitty_utils/tests/test_string_utils.py
|
KaelanWillauer/Submitty
|
cf9b6ceda15ec0a661e2ca81ea7864790094c64a
|
[
"BSD-3-Clause"
] | 5,730
|
2016-05-23T21:04:32.000Z
|
2022-03-31T10:08:06.000Z
|
python_submitty_utils/tests/test_string_utils.py
|
KaelanWillauer/Submitty
|
cf9b6ceda15ec0a661e2ca81ea7864790094c64a
|
[
"BSD-3-Clause"
] | 423
|
2016-09-22T21:11:30.000Z
|
2022-03-29T18:55:28.000Z
|
import unittest
from submitty_utils import string_utils
class TestUser(unittest.TestCase):
def testNegativeLength(self):
self.assertEqual(string_utils.generate_random_string(-1), '')
def testZeroLength(self):
self.assertEqual(string_utils.generate_random_string(0), '')
def testPositiveLength(self):
self.assertEqual(len(string_utils.generate_random_string(1)), 1)
def testRandom(self):
# Very low chance of generating the same string twice.
for _ in range(10):
self.assertNotEqual(string_utils.generate_random_string(10), string_utils.generate_random_string(10))
self.assertNotEqual(string_utils.generate_random_string(100), string_utils.generate_random_string(100))
self.assertNotEqual(string_utils.generate_random_string(1000), string_utils.generate_random_string(1000))
if __name__ == '__main__':
unittest.main()
| 36.8
| 117
| 0.742391
| 110
| 920
| 5.863636
| 0.354545
| 0.170543
| 0.265116
| 0.348837
| 0.609302
| 0.609302
| 0.389147
| 0.313178
| 0
| 0
| 0
| 0.031169
| 0.163043
| 920
| 24
| 118
| 38.333333
| 0.806494
| 0.056522
| 0
| 0
| 1
| 0
| 0.009238
| 0
| 0
| 0
| 0
| 0
| 0.375
| 1
| 0.25
| false
| 0
| 0.125
| 0
| 0.4375
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9e477dd3df7f5df09267317cd3bfe78b579ab14e
| 212
|
py
|
Python
|
coaster/views/__init__.py
|
AferriDaniel/coaster
|
3ffbc9d33c981284593445299aaee0c3cc0cdb0b
|
[
"BSD-2-Clause"
] | 48
|
2015-01-15T08:57:24.000Z
|
2022-01-26T04:04:34.000Z
|
coaster/views/__init__.py
|
AferriDaniel/coaster
|
3ffbc9d33c981284593445299aaee0c3cc0cdb0b
|
[
"BSD-2-Clause"
] | 169
|
2015-01-16T13:17:38.000Z
|
2021-05-31T13:23:23.000Z
|
coaster/views/__init__.py
|
AferriDaniel/coaster
|
3ffbc9d33c981284593445299aaee0c3cc0cdb0b
|
[
"BSD-2-Clause"
] | 17
|
2015-02-15T07:39:04.000Z
|
2021-10-05T11:20:22.000Z
|
"""
View helpers
============
Coaster provides classes, functions and decorators for common scenarios in view
handlers.
"""
# flake8: noqa
from .classview import *
from .decorators import *
from .misc import *
| 16.307692
| 79
| 0.707547
| 25
| 212
| 6
| 0.76
| 0.133333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005618
| 0.160377
| 212
| 12
| 80
| 17.666667
| 0.837079
| 0.613208
| 0
| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
9e66515414c951c5a5647702f8a347abcfdec43d
| 10,659
|
py
|
Python
|
unittests/TestGameServerController.py
|
dgsd-consulting/python_cowbull_server
|
b3f5e36c98c29701b0faf0adcf5d7b56a91a7402
|
[
"Apache-2.0"
] | 1
|
2019-01-22T03:48:30.000Z
|
2019-01-22T03:48:30.000Z
|
unittests/TestGameServerController.py
|
dgsd-consulting/python_cowbull_server
|
b3f5e36c98c29701b0faf0adcf5d7b56a91a7402
|
[
"Apache-2.0"
] | 1
|
2019-04-14T21:15:17.000Z
|
2019-08-08T01:25:29.000Z
|
unittests/TestGameServerController.py
|
davidjsanders/python_cowbull_server
|
b3f5e36c98c29701b0faf0adcf5d7b56a91a7402
|
[
"Apache-2.0"
] | 2
|
2018-09-20T20:28:48.000Z
|
2018-10-02T20:57:45.000Z
|
import json
from unittest import TestCase
from flask import Flask
from flask_controllers.GameServerController import GameServerController
from flask_helpers.VersionHelpers import VersionHelpers
from python_cowbull_server import app
from python_cowbull_server.Configurator import Configurator
from flask_helpers.ErrorHandler import ErrorHandler
from Persistence.PersistenceEngine import PersistenceEngine
class TestGameServerController(TestCase):
def setUp(self):
self.info = VersionHelpers()
app.testing = True
self.app = app.test_client()
self.c = Configurator()
self.c.execute_load(self.app.application)
# Force use of File persister
p = {"engine_name": "file", "parameters": {}}
self.app.application.config["PERSISTER"] = PersistenceEngine(**p)
if self.info.major < 3:
self.json_raises = ValueError
else:
self.json_raises = json.JSONDecodeError
def test_gsc_init(self):
GameServerController()
def test_gsc_bad_init(self):
self.app.application.config["PERSISTER"] = None
try:
GameServerController()
except ValueError as ve:
self.assertIn("No persistence engine is defined", str(ve))
def test_gsc_valid_init(self):
gsc = GameServerController()
self.assertIsNone(gsc.game_version)
self.assertIsInstance(gsc.handler, ErrorHandler)
def test_gsc_get_game(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status, '200 OK')
def test_gsc_get_game_bad_mode(self):
gsc = GameServerController()
with self.app as c:
response = c.get('/v1/game?mode=reallyreallytough')
self.assertEqual(response.status, '400 BAD REQUEST')
self.assertIn("Mode reallyreallytough not found", str(response.data))
def test_gsc_get_game_bad_persister(self):
p = self.app.application.config["PERSISTER"]
with self.app:
with self.assertRaises(TypeError):
self.app.application.config["PERSISTER"] = PersistenceEngine(
engine_name="foobar",
parameters={
"host": "foobar",
"port": 27017,
"db": "cowbull"
}
)
self.app.application.config["PERSISTER"] = p
def test_gsc_get_game_no_persister(self):
p = self.app.application.config["PERSISTER"]
with self.app as c:
with self.assertRaises(KeyError):
self.app.application.config["PERSISTER"] = PersistenceEngine(
engine_name="redis",
parameters={
"host": "local",
"port": 6379,
"db": "cowbull"
}
)
c.get('/v1/game')
self.app.application.config["PERSISTER"] = p
def test_gsc_get_game_badparam_persister(self):
p = self.app.application.config["PERSISTER"]
with self.app:
with self.assertRaises(TypeError):
self.app.application.config["PERSISTER"] = PersistenceEngine(
engine_name="redis",
parameters={
"host": "local",
"port": 6379,
"db": "cowbull",
"foo": "bar"
}
)
self.app.application.config["PERSISTER"] = p
def test_gsc_post_game(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status[0:3], '200')
key = json.loads(response.data)["key"]
game_data = {
"key": key,
"digits": [0, 1, 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '200')
def test_gsc_post_bad_key(self):
with self.app as c:
key = '1234'
game_data = {
"key": key,
"digits": [0, 1, 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("The request must contain a valid game key", str(response.data))
def test_gsc_post_bad_digits(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status[0:3], '200')
key = json.loads(response.data)["key"]
game_data = {
"key": key,
"digits": ['X', 'Y', 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
def test_gsc_post_no_digits(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status[0:3], '200')
key = json.loads(response.data)["key"]
game_data = {
"key": key
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("The request must contain an array of digits", str(response.data))
def test_gsc_post_num_digits(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status[0:3], '200')
key = json.loads(response.data)["key"]
game_data = {
"key": key,
"digits": [0, 1, 2, 3, 4, 5]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("The DigitWord objects are of different lengths", str(response.data))
def test_gsc_post_hilo_digits(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status[0:3], '200')
key = json.loads(response.data)["key"]
game_data = {
"key": key,
"digits": [-10, 21, 32, 43]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("A digit must be a string representation or integer of a number", str(response.data))
def test_gsc_post_type_digits(self):
with self.app as c:
response = c.get('/v1/game')
self.assertEqual(response.status[0:3], '200')
key = json.loads(response.data)["key"]
game_data = {
"key": key,
"digits": {"foo": "bar"}
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("A digit must be a string representation or integer of a number", str(response.data))
def test_gsc_post_no_json(self):
with self.app as c:
response = c.post(
'/v1/game',
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("For some reason the json_dict is None!", str(response.data))
def test_gsc_post_bad_json(self):
with self.app as c:
response = c.post(
'/v1/game',
data=json.dumps({"keys": "1234"}),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("For some reason the json_dict does not contain a key", str(response.data))
def test_gsc_post_bad_gamekey(self):
with self.app as c:
key = '1234'
game_data = {
"key": key,
"digits": ['X', 'Y', 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("Unable to open the key file", str(response.data))
def test_gsc_post_badtype_gamekey(self):
with self.app as c:
key = 1234
game_data = {
"key": key,
"digits": ['X', 'Y', 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("For some reason the json_dict does not contain a key!", str(response.data))
def test_gsc_post_no_gamekey(self):
with self.app as c:
game_data = {
"digits": ['X', 'Y', 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("For some reason the json_dict does not contain a key", str(response.data))
def test_gsc_post_type_gamekey(self):
with self.app as c:
game_data = {
"key": None,
"digits": ['X', 'Y', 2, 3]
}
response = c.post(
'/v1/game',
data=json.dumps(game_data),
content_type="application/json"
)
self.assertEqual(response.status[0:3], '400')
self.assertIn("For some reason the json_dict does not contain a key!", str(response.data))
| 36.628866
| 111
| 0.512149
| 1,142
| 10,659
| 4.65937
| 0.128722
| 0.051118
| 0.039466
| 0.114452
| 0.759632
| 0.742342
| 0.722609
| 0.705694
| 0.694982
| 0.667168
| 0
| 0.027661
| 0.372549
| 10,659
| 290
| 112
| 36.755172
| 0.767943
| 0.002533
| 0
| 0.610687
| 0
| 0
| 0.134619
| 0.002916
| 0
| 0
| 0
| 0
| 0.148855
| 1
| 0.083969
| false
| 0
| 0.034351
| 0
| 0.122137
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 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
| 4
|
9e80b42b52475d6e15054bfeda78fadd12468c69
| 2,133
|
py
|
Python
|
spotify/v1/track.py
|
geekonedge/spotify
|
1f4cf733a1fb11ab96259ed1e229b141e5c696f3
|
[
"MIT"
] | 2
|
2018-10-10T08:00:47.000Z
|
2021-10-12T04:15:33.000Z
|
spotify/v1/track.py
|
geekonedge/spotify
|
1f4cf733a1fb11ab96259ed1e229b141e5c696f3
|
[
"MIT"
] | 2
|
2018-08-31T21:59:47.000Z
|
2018-08-31T22:27:57.000Z
|
spotify/v1/track.py
|
geekonedge/spotify
|
1f4cf733a1fb11ab96259ed1e229b141e5c696f3
|
[
"MIT"
] | 1
|
2018-08-31T21:18:58.000Z
|
2018-08-31T21:18:58.000Z
|
from spotify import values
from spotify.page import Page
from spotify.resource import Resource, UpgradableInstance
class TrackContext(Resource):
def __init__(self, version, id):
super(TrackContext, self).__init__(version)
self.id = id
def fetch(self, market=values.UNSET):
params = values.of({
'market': market
})
response = self.version.request('GET', '/tracks/{}'.format(self.id), params=params)
return TrackInstance(self.version, response.json())
class TrackInstance(UpgradableInstance):
@property
def artists(self):
from spotify.v1.artist import ArtistInstance
return [ArtistInstance(self.version, artist) for artist in self.property('artists')]
@property
def available_markets(self):
return self.property('available_markets')
@property
def disc_number(self):
return self.property('disc_number')
@property
def duration_ms(self):
return self.property('duration_ms')
@property
def explicit(self):
return self.property('explicit')
@property
def external_urls(self):
return self.property('external_urls')
@property
def id(self):
return self.property('id')
@property
def name(self):
return self.property('name')
@property
def preview_url(self):
return self.property('preview_url')
@property
def track_number(self):
return self.property('track_number')
@property
def type(self):
return self.property('type')
@property
def uri(self):
return self.property('uri')
class TrackList(Resource):
def get(self, id):
return TrackContext(self.version, id)
def list(self, ids, market=values.UNSET):
params = values.of({
'ids': ','.join(ids),
'market': market
})
response = self.version.request('GET', '/tracks', params=params)
return TrackPage(self.version, response.json(), 'tracks')
class TrackPage(Page):
@property
def instance_class(self):
return TrackInstance
| 23.184783
| 92
| 0.635724
| 235
| 2,133
| 5.680851
| 0.238298
| 0.107116
| 0.115356
| 0.181273
| 0.158802
| 0.116854
| 0.070412
| 0.070412
| 0
| 0
| 0
| 0.000624
| 0.248476
| 2,133
| 91
| 93
| 23.43956
| 0.83219
| 0
| 0
| 0.292308
| 0
| 0
| 0.069386
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.261538
| false
| 0
| 0.061538
| 0.2
| 0.630769
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
9e930c5a58d02157e9d5c759c46110f181e09d5b
| 85
|
py
|
Python
|
lxman/cli/__main__.py
|
stuxcrystal/lxman
|
ea0b44a8b9424b3489e393591f5384a986f583a3
|
[
"MIT"
] | 1
|
2017-12-04T18:48:21.000Z
|
2017-12-04T18:48:21.000Z
|
lxman/cli/__main__.py
|
stuxcrystal/lxman
|
ea0b44a8b9424b3489e393591f5384a986f583a3
|
[
"MIT"
] | null | null | null |
lxman/cli/__main__.py
|
stuxcrystal/lxman
|
ea0b44a8b9424b3489e393591f5384a986f583a3
|
[
"MIT"
] | null | null | null |
import colorama
from lxman.cli import cli
if __name__ == "__main__":
cli()
| 14.166667
| 27
| 0.658824
| 11
| 85
| 4.363636
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.247059
| 85
| 5
| 28
| 17
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9eb81dc7bd07da6f0a064dae1f82cb5f9f4c811b
| 422
|
py
|
Python
|
app/auth/forms.py
|
jakhax/esp9266_rfid_lock
|
e9c25628a023c8d6005a136e240ca1a36589fd36
|
[
"MIT"
] | 2
|
2020-11-10T09:16:21.000Z
|
2021-12-15T07:27:17.000Z
|
app/auth/forms.py
|
jakhax/consecutive_normal_punches
|
e9c25628a023c8d6005a136e240ca1a36589fd36
|
[
"MIT"
] | null | null | null |
app/auth/forms.py
|
jakhax/consecutive_normal_punches
|
e9c25628a023c8d6005a136e240ca1a36589fd36
|
[
"MIT"
] | null | null | null |
from flask_wtf import FlaskForm
from wtforms import StringField,SubmitField,BooleanField,PasswordField
from wtforms.validators import Required,DataRequired,Length
class LoginForm(FlaskForm):
username = StringField('username', validators=[DataRequired(), Length(1, 32)])
password = PasswordField('Password', validators=[DataRequired()])
remember = BooleanField('Remember me')
submit = SubmitField('Log in')
| 46.888889
| 82
| 0.779621
| 43
| 422
| 7.627907
| 0.581395
| 0.067073
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008021
| 0.113744
| 422
| 9
| 83
| 46.888889
| 0.868984
| 0
| 0
| 0
| 0
| 0
| 0.078014
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.25
| 0.375
| 0
| 1
| 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
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
7b35640cc33e749326b0108e01c9308ac2c3ffda
| 603
|
py
|
Python
|
pRestore/stuff.py
|
snaiperskaya96/pRestore
|
cd51050fbd02423b038233c804e1c1ee0bfe59e7
|
[
"MIT"
] | null | null | null |
pRestore/stuff.py
|
snaiperskaya96/pRestore
|
cd51050fbd02423b038233c804e1c1ee0bfe59e7
|
[
"MIT"
] | null | null | null |
pRestore/stuff.py
|
snaiperskaya96/pRestore
|
cd51050fbd02423b038233c804e1c1ee0bfe59e7
|
[
"MIT"
] | null | null | null |
class Stuff:
def __init__(self):
return
@staticmethod
def print_logo():
print '''
____ _
_ __ | _ \ ___ ___| |_ ___ _ __ ___
| '_ \| |_) / _ \/ __| __/ _ \| '__/ _ \\
| |_) | _ < __/\__ \ || (_) | | | __/
| .__/|_| \_\___||___/\__\___/|_| \___|
|_|
'''
class NotAFolder(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class NotAFile(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
| 19.451613
| 41
| 0.507463
| 45
| 603
| 4.888889
| 0.333333
| 0.245455
| 0.15
| 0.181818
| 0.618182
| 0.618182
| 0.618182
| 0.618182
| 0.618182
| 0.618182
| 0
| 0
| 0.3267
| 603
| 30
| 42
| 20.1
| 0.541872
| 0
| 0
| 0.347826
| 0
| 0.086957
| 0.333333
| 0.038143
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.086957
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 4
|
7b600881aefecd926df3678ce829274a46e661ba
| 18
|
py
|
Python
|
schicexplorer/_version.py
|
joachimwolff/scHiCExplorer
|
8aebb444f3968d398c260690c89c9cd0e3186f0e
|
[
"MIT"
] | 10
|
2019-12-09T04:11:18.000Z
|
2021-03-24T15:29:06.000Z
|
common/walt/common/version.py
|
drakkar-lig/walt-python-packages
|
b778992e241d54b684f54715d83c4aff98a01db7
|
[
"BSD-3-Clause"
] | 73
|
2016-04-29T13:17:26.000Z
|
2022-03-01T15:06:48.000Z
|
common/walt/common/version.py
|
drakkar-lig/walt-python-packages
|
b778992e241d54b684f54715d83c4aff98a01db7
|
[
"BSD-3-Clause"
] | 3
|
2019-03-18T14:27:56.000Z
|
2021-06-03T12:07:02.000Z
|
__version__ = '7'
| 9
| 17
| 0.666667
| 2
| 18
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 0.166667
| 18
| 1
| 18
| 18
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0.055556
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 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
| 4
|
7b65f6a1d2bed41aa57a027424c81ab5587c97d9
| 123
|
py
|
Python
|
exercise/newfile5.py
|
LeeBeral/python
|
9f0d360d69ee5245e3ef13a9dc9fc666374587a4
|
[
"MIT"
] | null | null | null |
exercise/newfile5.py
|
LeeBeral/python
|
9f0d360d69ee5245e3ef13a9dc9fc666374587a4
|
[
"MIT"
] | null | null | null |
exercise/newfile5.py
|
LeeBeral/python
|
9f0d360d69ee5245e3ef13a9dc9fc666374587a4
|
[
"MIT"
] | null | null | null |
alist = [1,2,3,5,5,1,3]
b = set(alist)
c = tuple(alist)
print(b)
print(c)
print([x for x in b])
print([x for x in c])
| 17.571429
| 24
| 0.569106
| 30
| 123
| 2.333333
| 0.433333
| 0.171429
| 0.257143
| 0.285714
| 0.342857
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072165
| 0.211382
| 123
| 7
| 25
| 17.571429
| 0.649485
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.571429
| 0
| 0
| 0
| null | 0
| 1
| 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
| 1
|
0
| 4
|
7b661c16cd5afafef4aba119027c917f67774a50
| 170
|
py
|
Python
|
ocp_resources/kubevirt_metrics_aggregation.py
|
kbidarkar/openshift-python-wrapper
|
3cd4d6d3b71c82ff87f032a51510d9c9d207f6cb
|
[
"Apache-2.0"
] | 9
|
2021-07-05T18:35:55.000Z
|
2021-12-31T03:09:39.000Z
|
ocp_resources/kubevirt_metrics_aggregation.py
|
kbidarkar/openshift-python-wrapper
|
3cd4d6d3b71c82ff87f032a51510d9c9d207f6cb
|
[
"Apache-2.0"
] | 418
|
2021-07-04T13:12:09.000Z
|
2022-03-30T08:37:45.000Z
|
ocp_resources/kubevirt_metrics_aggregation.py
|
kbidarkar/openshift-python-wrapper
|
3cd4d6d3b71c82ff87f032a51510d9c9d207f6cb
|
[
"Apache-2.0"
] | 28
|
2021-07-04T12:48:18.000Z
|
2022-02-22T15:19:30.000Z
|
from ocp_resources.resource import NamespacedResource
class KubevirtMetricsAggregation(NamespacedResource):
api_group = NamespacedResource.ApiGroup.SSP_KUBEVIRT_IO
| 28.333333
| 59
| 0.870588
| 16
| 170
| 9
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 170
| 5
| 60
| 34
| 0.929032
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
7b72e8377f711b1cb1ee17fd39204a3883465200
| 78
|
py
|
Python
|
shopify_csv/__init__.py
|
d-e-h-i-o/shopify_csv
|
0c49666bca38802a756502f72f835abb63115025
|
[
"MIT"
] | 1
|
2021-02-28T11:36:50.000Z
|
2021-02-28T11:36:50.000Z
|
shopify_csv/__init__.py
|
d-e-h-i-o/shopify_csv
|
0c49666bca38802a756502f72f835abb63115025
|
[
"MIT"
] | null | null | null |
shopify_csv/__init__.py
|
d-e-h-i-o/shopify_csv
|
0c49666bca38802a756502f72f835abb63115025
|
[
"MIT"
] | null | null | null |
from .constants import FIELDS, PROPERTIES
from .shopify_csv import ShopifyRow
| 26
| 41
| 0.846154
| 10
| 78
| 6.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115385
| 78
| 2
| 42
| 39
| 0.942029
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7b87f62b10bc328cd7870120d84ededf89b99acb
| 21
|
py
|
Python
|
data/studio21_generated/introductory/4853/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/4853/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/4853/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
def double_char(s):
| 10.5
| 19
| 0.714286
| 4
| 21
| 3.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 21
| 2
| 20
| 10.5
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
7b9a53fe727088aa66ec964d3fe2b9eeb158dba7
| 543
|
py
|
Python
|
dashboard/migrations/0016_auto_20200222_2336.py
|
BDALab/GENEActiv-sleep-analyses-system
|
f0458de041153f2dee240a53571149827de00a2e
|
[
"MIT"
] | null | null | null |
dashboard/migrations/0016_auto_20200222_2336.py
|
BDALab/GENEActiv-sleep-analyses-system
|
f0458de041153f2dee240a53571149827de00a2e
|
[
"MIT"
] | null | null | null |
dashboard/migrations/0016_auto_20200222_2336.py
|
BDALab/GENEActiv-sleep-analyses-system
|
f0458de041153f2dee240a53571149827de00a2e
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.2.5 on 2020-02-22 22:36
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('dashboard', '0015_auto_20200222_2200'),
]
operations = [
migrations.RemoveField(
model_name='subject',
name='handedness',
),
migrations.RemoveField(
model_name='subject',
name='height',
),
migrations.RemoveField(
model_name='subject',
name='weight',
),
]
| 20.884615
| 49
| 0.546961
| 49
| 543
| 5.938776
| 0.612245
| 0.216495
| 0.268041
| 0.309278
| 0.42268
| 0.42268
| 0
| 0
| 0
| 0
| 0
| 0.086592
| 0.3407
| 543
| 25
| 50
| 21.72
| 0.726257
| 0.082873
| 0
| 0.473684
| 1
| 0
| 0.15121
| 0.046371
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.052632
| 0
| 0.210526
| 0
| 0
| 0
| 0
| null | 1
| 1
| 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
| 4
|
7bbe575d89df5cb9077767131f1bcff71b4ea2bc
| 191
|
py
|
Python
|
cloudflare_ddns/__init__.py
|
joshuaavalon/cloudflare-ddns
|
9a79a73dc6f723d2bd9afd26289a9c990744f4e7
|
[
"Apache-2.0"
] | 1
|
2019-05-16T15:25:22.000Z
|
2019-05-16T15:25:22.000Z
|
cloudflare_ddns/__init__.py
|
joshuaavalon/cloudflare-ddns
|
9a79a73dc6f723d2bd9afd26289a9c990744f4e7
|
[
"Apache-2.0"
] | null | null | null |
cloudflare_ddns/__init__.py
|
joshuaavalon/cloudflare-ddns
|
9a79a73dc6f723d2bd9afd26289a9c990744f4e7
|
[
"Apache-2.0"
] | 1
|
2019-06-17T15:22:29.000Z
|
2019-06-17T15:22:29.000Z
|
from cloudflare_ddns.configuration import Configuration, SiteConfiguration
from cloudflare_ddns.ddns import CloudflareDDNS
__all__ = ["CloudflareDDNS", "Configuration", "SiteConfiguration"]
| 38.2
| 74
| 0.848168
| 17
| 191
| 9.176471
| 0.470588
| 0.179487
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078534
| 191
| 4
| 75
| 47.75
| 0.886364
| 0
| 0
| 0
| 0
| 0
| 0.230366
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
c8870211f55a315e2890fcb0bc548ae67550546d
| 137
|
py
|
Python
|
apps/users/urls.py
|
akundev/akundotdev
|
98b47925b948c920789c5acebad86944162bf53a
|
[
"Apache-2.0"
] | null | null | null |
apps/users/urls.py
|
akundev/akundotdev
|
98b47925b948c920789c5acebad86944162bf53a
|
[
"Apache-2.0"
] | 3
|
2021-03-30T14:21:08.000Z
|
2021-07-07T03:04:26.000Z
|
apps/users/urls.py
|
almazkun/akundotdev
|
98b47925b948c920789c5acebad86944162bf53a
|
[
"Apache-2.0"
] | null | null | null |
from django.urls import path
from .views import AboutTemplateView
urlpatterns = [path("", AboutTemplateView.as_view(), name="about")]
| 19.571429
| 67
| 0.759124
| 16
| 137
| 6.4375
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116788
| 137
| 6
| 68
| 22.833333
| 0.85124
| 0
| 0
| 0
| 0
| 0
| 0.036496
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
c8d1c681c7ce88bcb176a7a0b8c693c830a7bc65
| 160
|
py
|
Python
|
Python/mixedfractions/mixedfractions.py
|
rvrheenen/OpenKattis
|
7fd59fcb54e86cdf10f56c580c218c62e584f391
|
[
"MIT"
] | 12
|
2016-10-03T20:43:43.000Z
|
2021-06-12T17:18:42.000Z
|
Python/mixedfractions/mixedfractions.py
|
rvrheenen/OpenKattis
|
7fd59fcb54e86cdf10f56c580c218c62e584f391
|
[
"MIT"
] | null | null | null |
Python/mixedfractions/mixedfractions.py
|
rvrheenen/OpenKattis
|
7fd59fcb54e86cdf10f56c580c218c62e584f391
|
[
"MIT"
] | 10
|
2017-11-14T19:56:37.000Z
|
2021-02-02T07:39:57.000Z
|
while(True):
inp = [int(x) for x in input().split()]
if inp[0] == 0 and inp[1] == 0:
break
print(inp[0]//inp[1], inp[0]%inp[1], "/", inp[1])
| 32
| 53
| 0.48125
| 30
| 160
| 2.566667
| 0.5
| 0.207792
| 0.181818
| 0.207792
| 0.246753
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 0.25
| 160
| 5
| 53
| 32
| 0.566667
| 0
| 0
| 0
| 0
| 0
| 0.006211
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 0
| null | 1
| 1
| 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
| 4
|
c8d758a027414f97b213413022804a7b0f68fe28
| 523
|
py
|
Python
|
version.py
|
Jin-Tao-208/web_science_coursework
|
bb4ab2226b70e7b0f7bbef40ceb002900e757a31
|
[
"MIT"
] | null | null | null |
version.py
|
Jin-Tao-208/web_science_coursework
|
bb4ab2226b70e7b0f7bbef40ceb002900e757a31
|
[
"MIT"
] | null | null | null |
version.py
|
Jin-Tao-208/web_science_coursework
|
bb4ab2226b70e7b0f7bbef40ceb002900e757a31
|
[
"MIT"
] | null | null | null |
# versions of libraries used
import sys
import tweepy
import numpy as np
import pymongo
import emoji
import nltk.tokenize
import requests
print("Python version:{}".format(sys.version))
print("tweepy version:{}".format(tweepy.__version__))
print("pymongo version:{}".format(pymongo.__version__))
print("emoji version:{}".format(emoji.__version__))
print("requests version:{}".format(requests.__version__))
print("numpy version:{}".format(np.__version__))
print("nltk version:{}".format(nltk.__version__))
| 29.055556
| 58
| 0.745698
| 63
| 523
| 5.809524
| 0.301587
| 0.248634
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.10325
| 523
| 17
| 59
| 30.764706
| 0.780384
| 0.049713
| 0
| 0
| 0
| 0
| 0.247379
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 4
|
c8ea55c5455ae4d69b07f53ce37792d7f4a82837
| 132
|
py
|
Python
|
3_binary_tree/__init__.py
|
freshklauser/LeeCodeSummary
|
d9d776ddfc44fee844123b848d43a78e9ba4117e
|
[
"MIT"
] | null | null | null |
3_binary_tree/__init__.py
|
freshklauser/LeeCodeSummary
|
d9d776ddfc44fee844123b848d43a78e9ba4117e
|
[
"MIT"
] | null | null | null |
3_binary_tree/__init__.py
|
freshklauser/LeeCodeSummary
|
d9d776ddfc44fee844123b848d43a78e9ba4117e
|
[
"MIT"
] | 1
|
2021-11-18T01:58:29.000Z
|
2021-11-18T01:58:29.000Z
|
# -*- coding: utf-8 -*-
# @Author : Administrator
# @DateTime : 2021/10/17 20:40
# @FileName : __init__.py
# @SoftWare : PyCharm
| 18.857143
| 30
| 0.621212
| 16
| 132
| 4.875
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121495
| 0.189394
| 132
| 6
| 31
| 22
| 0.607477
| 0.909091
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
740438f708cbfe346a44823a28bc4994e0b1022b
| 196
|
py
|
Python
|
uuid1/models.py
|
charlesDavid009/Uuid
|
7553843c0112e7f0e248cd5692eccca72553e720
|
[
"MIT"
] | 1
|
2021-05-24T18:52:53.000Z
|
2021-05-24T18:52:53.000Z
|
uuid1/models.py
|
charlesDavid009/Uuid
|
7553843c0112e7f0e248cd5692eccca72553e720
|
[
"MIT"
] | null | null | null |
uuid1/models.py
|
charlesDavid009/Uuid
|
7553843c0112e7f0e248cd5692eccca72553e720
|
[
"MIT"
] | null | null | null |
from django.db import models
import uuid
# Create your models here.
class Uuid(models.Model):
uuids = models.CharField(max_length=225)
created = models.DateTimeField(auto_now_add=True)
| 19.6
| 53
| 0.760204
| 28
| 196
| 5.214286
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018072
| 0.153061
| 196
| 9
| 54
| 21.777778
| 0.861446
| 0.122449
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
cdc3dc53bc12e7691159632083c1b94dc1973dac
| 74
|
py
|
Python
|
tests/unit/conftest.py
|
fourTheorem/slic-slack
|
cffc870c2399feff67199050460abdcb3385ef17
|
[
"Apache-2.0"
] | 4
|
2022-01-14T15:47:55.000Z
|
2022-01-14T16:15:18.000Z
|
tests/unit/conftest.py
|
fourTheorem/slic-slack
|
cffc870c2399feff67199050460abdcb3385ef17
|
[
"Apache-2.0"
] | null | null | null |
tests/unit/conftest.py
|
fourTheorem/slic-slack
|
cffc870c2399feff67199050460abdcb3385ef17
|
[
"Apache-2.0"
] | null | null | null |
import os
os.environ['SLACK_WEBHOOK_URL'] = 'https://example.com/slack'
| 14.8
| 61
| 0.72973
| 11
| 74
| 4.727273
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.094595
| 74
| 4
| 62
| 18.5
| 0.776119
| 0
| 0
| 0
| 0
| 0
| 0.575342
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
cdcc7612e16b3989892d1765ee8591ffd8c61843
| 1,536
|
py
|
Python
|
src/database/CRUD/create.py
|
gregory-chekler/api
|
11ecbea945e7eb6fa677a0c0bb32bda51ba15f28
|
[
"MIT"
] | 2
|
2020-07-24T12:58:17.000Z
|
2020-12-17T02:26:13.000Z
|
src/database/CRUD/create.py
|
gregory-chekler/api
|
11ecbea945e7eb6fa677a0c0bb32bda51ba15f28
|
[
"MIT"
] | 214
|
2019-06-26T17:33:54.000Z
|
2022-03-26T00:02:34.000Z
|
src/database/CRUD/create.py
|
massenergize/portalBackEnd
|
7ed971b2be13901667a216d8c8a46f0bed6d6ccd
|
[
"MIT"
] | 6
|
2020-03-13T20:29:06.000Z
|
2021-08-20T16:15:08.000Z
|
"""
This file contains code to post data from the database. This is meant to
centralize the insertion of data into the database so that multiple apps can
call on the methods in this file without having to define their own
and to prevent code redundancy.
"""
from ..models import *
from ..utils.common import ensure_required_fields
from ..utils.create_factory import CreateFactory
def new_action(args):
factory = CreateFactory(Action, args)
return factory.create(Action, args)
def new_community(args):
factory = CreateFactory(Community, args)
return factory.create()
def new_event(args):
factory = CreateFactory(Event, args)
return factory.create()
def new_user_profile(args):
factory = CreateFactory(UserProfile, args)
return factory.create(UserProfile, args)
def new_location(args):
factory = CreateFactory(Location, args)
return factory.create()
def new_subscriber(args):
factory = CreateFactory(Subscriber, args)
return factory.create(Subscriber, args)
def new_billing_statement(args):
factory = CreateFactory(BillingStatement, args)
return factory.create(BillingStatement, args)
def new_slider(args):
factory = CreateFactory(Slider, args)
return factory.create(Slider, args)
def new_menu(args):
factory = CreateFactory(Menu, args)
return factory.create(Menu, args)
def new_page_section(args):
factory = CreateFactory(PageSection, args)
return factory.create(PageSection, args)
def new_page(args):
factory = CreateFactory(Page, args)
return factory.create(Page, args)
| 25.180328
| 76
| 0.76888
| 201
| 1,536
| 5.791045
| 0.313433
| 0.056701
| 0.226804
| 0.217354
| 0.074742
| 0.074742
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143229
| 1,536
| 60
| 77
| 25.6
| 0.884498
| 0.163411
| 0
| 0.083333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.305556
| false
| 0
| 0.083333
| 0
| 0.694444
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b5aa67663a42b92a7d170586d7626bb2aa4c2ae4
| 350
|
py
|
Python
|
problems/reverse-words-in-string/reverse-words-in-string.py
|
vidyadeepa/the-coding-interview
|
90171b77b6884176a6c28bdccb5d45bd6929b489
|
[
"MIT"
] | 1,571
|
2015-12-09T14:08:47.000Z
|
2022-03-30T21:34:36.000Z
|
problems/reverse-words-in-string/reverse-words-in-string.py
|
vidyadeepa/the-coding-interview
|
90171b77b6884176a6c28bdccb5d45bd6929b489
|
[
"MIT"
] | 117
|
2015-10-22T05:59:19.000Z
|
2021-09-17T00:14:38.000Z
|
problems/reverse-words-in-string/reverse-words-in-string.py
|
vidyadeepa/the-coding-interview
|
90171b77b6884176a6c28bdccb5d45bd6929b489
|
[
"MIT"
] | 452
|
2015-10-21T23:00:58.000Z
|
2022-03-18T21:16:50.000Z
|
import re
def reverse_str(string):
string = string.strip()
string = re.sub("\s+", " ", string)
result = [word[::-1] for word in string[::-1].split(" ")]
return " ".join(result)
# "degree CS":
print reverse_str(" CS degree")
print reverse_str("CS degree")
print reverse_str("CS degree ")
print reverse_str(" CS degree")
| 23.333333
| 61
| 0.614286
| 48
| 350
| 4.375
| 0.416667
| 0.238095
| 0.285714
| 0.32381
| 0.438095
| 0.438095
| 0.438095
| 0.438095
| 0.438095
| 0.438095
| 0
| 0.00722
| 0.208571
| 350
| 14
| 62
| 25
| 0.750903
| 0.034286
| 0
| 0.4
| 0
| 0
| 0.167164
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.1
| null | null | 0.4
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b5b452ab3b7a17e033f9002b103343c10716d627
| 27
|
py
|
Python
|
my_env/lib/python3.6/site-packages/affine/tests/__init__.py
|
wilsonfilhodev/gis
|
65926fd36460a7a3590ef7511ccae1d64e3d9988
|
[
"MIT"
] | 121
|
2015-03-26T15:40:37.000Z
|
2021-10-10T14:19:06.000Z
|
my_env/lib/python3.6/site-packages/affine/tests/__init__.py
|
wilsonfilhodev/gis
|
65926fd36460a7a3590ef7511ccae1d64e3d9988
|
[
"MIT"
] | 53
|
2015-06-01T23:44:58.000Z
|
2020-12-14T15:40:47.000Z
|
my_env/lib/python3.6/site-packages/affine/tests/__init__.py
|
wilsonfilhodev/gis
|
65926fd36460a7a3590ef7511ccae1d64e3d9988
|
[
"MIT"
] | 24
|
2015-06-01T19:30:21.000Z
|
2021-08-13T19:47:41.000Z
|
"""Affine tests package"""
| 13.5
| 26
| 0.666667
| 3
| 27
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 27
| 1
| 27
| 27
| 0.75
| 0.740741
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a9085ff8566d990dfd43c879277cd4b73db4ecb9
| 185
|
py
|
Python
|
exercicios1/ex017A_hypotensue.py
|
GabrielaCardosoSilva/python
|
51d2733c3f3378427f025633d7d0d623fb6c2d73
|
[
"MIT"
] | 1
|
2021-12-21T21:46:31.000Z
|
2021-12-21T21:46:31.000Z
|
exercicios1/ex017A_hypotensue.py
|
GabrielaCardosoSilva/python
|
51d2733c3f3378427f025633d7d0d623fb6c2d73
|
[
"MIT"
] | null | null | null |
exercicios1/ex017A_hypotensue.py
|
GabrielaCardosoSilva/python
|
51d2733c3f3378427f025633d7d0d623fb6c2d73
|
[
"MIT"
] | null | null | null |
co = float(input('Comprimento do cateto oposto: '))
ca = float(input('Comprimento do cateto adjacente: '))
hy = ((co**2 + ca**2) ** (1/2))
print('A hipotenusa mede {:.2f}'.format(hy))
| 30.833333
| 54
| 0.632432
| 28
| 185
| 4.178571
| 0.642857
| 0.17094
| 0.358974
| 0.393162
| 0.495727
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031447
| 0.140541
| 185
| 5
| 55
| 37
| 0.704403
| 0
| 0
| 0
| 0
| 0
| 0.47027
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0
| 0
| null | 0
| 1
| 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
| 4
|
a93139d8990a5f884a5f91950142a530d39d5797
| 170
|
py
|
Python
|
correctiv_auth/urls.py
|
correctiv/django-allauth-correctiv
|
833e1f6e019834df04146c25198a93f411d66b79
|
[
"MIT"
] | null | null | null |
correctiv_auth/urls.py
|
correctiv/django-allauth-correctiv
|
833e1f6e019834df04146c25198a93f411d66b79
|
[
"MIT"
] | null | null | null |
correctiv_auth/urls.py
|
correctiv/django-allauth-correctiv
|
833e1f6e019834df04146c25198a93f411d66b79
|
[
"MIT"
] | null | null | null |
from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns
from .provider import CorrectivProvider
urlpatterns = default_urlpatterns(CorrectivProvider)
| 34
| 75
| 0.882353
| 17
| 170
| 8.705882
| 0.647059
| 0.243243
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006329
| 0.070588
| 170
| 4
| 76
| 42.5
| 0.93038
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
a9420e4c78acda83f196da1eaae00337d68d7f90
| 132
|
py
|
Python
|
docs/src/mkautodoc/__init__.py
|
kabirkhan/spacy-data-debug
|
5df124d5520d5eb9bbdcd45943e325e07ed2aed2
|
[
"MIT"
] | null | null | null |
docs/src/mkautodoc/__init__.py
|
kabirkhan/spacy-data-debug
|
5df124d5520d5eb9bbdcd45943e325e07ed2aed2
|
[
"MIT"
] | null | null | null |
docs/src/mkautodoc/__init__.py
|
kabirkhan/spacy-data-debug
|
5df124d5520d5eb9bbdcd45943e325e07ed2aed2
|
[
"MIT"
] | null | null | null |
from .extension import MKAutoDocExtension, makeExtension
__version__ = "0.1.0"
__all__ = ["MKAutoDocExtension", "makeExtension"]
| 18.857143
| 56
| 0.772727
| 12
| 132
| 7.833333
| 0.75
| 0.659574
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025641
| 0.113636
| 132
| 6
| 57
| 22
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0.274809
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
a96249e5e27a4fb1f8a7acc8336f250dfb9992c9
| 64,609
|
py
|
Python
|
pyeccodes/defs/grib2/localConcepts/eswi/name_def.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | 7
|
2020-04-14T09:41:17.000Z
|
2021-08-06T09:38:19.000Z
|
pyeccodes/defs/grib2/localConcepts/eswi/name_def.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | null | null | null |
pyeccodes/defs/grib2/localConcepts/eswi/name_def.py
|
ecmwf/pyeccodes
|
dce2c72d3adcc0cb801731366be53327ce13a00b
|
[
"Apache-2.0"
] | 3
|
2020-04-30T12:44:48.000Z
|
2020-12-15T08:40:26.000Z
|
import pyeccodes.accessors as _
def load(h):
def wrapped(h):
discipline = h.get_l('discipline')
parameterCategory = h.get_l('parameterCategory')
parameterNumber = h.get_l('parameterNumber')
if discipline == 3 and parameterCategory == 1 and parameterNumber == 19:
return 'Wind speed (space)'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 13:
return 'Atmospheric divergence'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 12:
return 'Reflectance in 3.9 micron channel'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 11:
return 'Reflectance in 1.6 micron channel'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 10:
return 'Reflectance in 0.8 micron channel'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 9:
return 'Reflectance in 0.6 micron channel'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 8:
return 'Relative azimuth angle'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 7:
return 'Solar zenith angle'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 6:
return 'Number of pixel used'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 5:
return 'Estimated v component of wind'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 4:
return 'Estimated u component of wind'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 3:
return 'Cloud top height quality indicator'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 2:
return 'Cloud top height'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 1:
return 'Instananeous rain rate'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 0:
return 'Estimated precipitation'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 9:
return 'Fire detection indicator'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 8:
return 'Pixel scene type'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 7:
return 'Cloud mask'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 6:
return 'Scaled skin temperature'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 5:
return 'Scaled cloud top pressure'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 4:
return 'Scaled lifted index'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 3:
return 'Scaled precipitable water'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 2:
return 'Scaled brightness temperature'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 1:
return 'Scaled albedo'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 0:
return 'Scaled radiance'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 17:
return 'Saturation of soil moisture'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 16:
return 'Volumetric saturation of soil moisture'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 15:
return 'Soil porosity'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 14:
return 'Direct evaporation cease (soil moisture)'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 13:
return 'Volumetric direct evaporation cease (soil moisture)'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 12:
return 'Transpiration stress-onset (soil moisture)'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 11:
return 'Volumetric transpiration stress-onset (soil moisture)'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 10:
return 'Liquid volumetric soil moisture (non-frozen)'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 6:
return 'Number of soil layers in root zone'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 27:
return 'Volumetric wilting point'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 26:
return 'Wilting point'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 25:
return 'Volumetric soil moisture'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 24:
return 'Heat flux'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 23:
return 'Column-integrated soil water'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 22:
return 'Soil moisture'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 21:
return 'Soil moisture parameter in canopy conductance'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 20:
return 'Humidity parameter in canopy conductance'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 19:
return 'Temperature parameter in canopy conductance'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 18:
return 'Solar parameter in canopy conductance'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 16:
return 'Minimal stomatal resistance'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 15:
return 'Canopy conductance'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 14:
return 'Blackadar mixing length scale'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 13:
return 'Plant canopy surface water'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 12:
return 'Exchange coefficient'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 11:
return 'Moisture availability'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 9:
return 'Volumetric soil moisture content'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 8:
return 'Land use'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 7:
return 'Model terrain height'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 6:
return 'Evapotranspiration'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 3:
return 'Low cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 1:
return 'Total cloud cover'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 11:
return 'Snow depth'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 3:
return 'Precipitable water'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 0:
return 'Specific humidity'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 0:
return 'Pressure'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 25:
return 'Natural logarithm of pressure in Pa'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 24:
return 'Anisotropy of sub-gridscale orography'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 23:
return 'Gravity wave dissipation'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 22:
return 'Slope of sub-gridscale orography'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 21:
return 'Angle of sub-gridscale orography'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 20:
return 'Standard deviation of sub-gridscale orography'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 19:
return '5-wave geopotential height anomaly'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 18:
return 'Planetary boundary layer height'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 17:
return 'Meridional flux of gravity wave stress'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 16:
return 'Zonal flux of gravity wave stress'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 15:
return '5-wave geopotential height'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 14:
return 'Density altitude'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 13:
return 'Pressure altitude'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 12:
return 'Thickness'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 11:
return 'Altimeter setting'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 32:
return 'Eta coordinate vertical velocity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 29:
return 'Drag coefficient'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 28:
return 'v-component storm motion'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 27:
return 'u-component storm motion'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 26:
return 'Horizontal momentum flux'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 25:
return 'Vertical speed shear'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 24:
return 'v-component of wind (gust)'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 23:
return 'u-component of wind (gust)'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 86:
return 'Specific snow water content'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 85:
return 'Specific rain water content'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 84:
return 'Specific cloud ice water content'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 83:
return 'Specific cloud liquid water content'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 68:
return 'Ice pellets precipitation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 67:
return 'Freezing rain precipitation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 66:
return 'Snow precipitation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 65:
return 'Rain precipitation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 64:
return 'Total column integrated water vapour'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 62:
return 'Snow evaporation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 60:
return 'Snow depth water equivalent'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 59:
return 'Large scale snowfall rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 58:
return 'Convective snowfall rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 57:
return 'Total snowfall rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 56:
return 'Large scale snowfall rate water equivalent'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 55:
return 'Convective snowfall rate water equivalent'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 54:
return 'Large scale precipitation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 51:
return 'Total column water (Vertically integrated total water)'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 50:
return 'Total snow precipitation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 49:
return 'Total water precipitation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 46:
return 'Total column integrated snow'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 45:
return 'Total column integrated rain'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 44:
return 'Rain factor'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 43:
return 'Rain fraction of total cloud water'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 23:
return 'Angstrom coefficient'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 22:
return 'Aerosol optical thickness at 1.640 micro-m'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 21:
return 'Aerosol optical thickness at 0.810 micro-m'
if discipline == 3 and parameterCategory == 1 and parameterNumber == 20:
return 'Aerosol optical thickness at 0.635 micro-m'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 4:
return 'Volcanic ash'
atmosphericChemicalConsituentType = h.get_l('atmosphericChemicalConsituentType')
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10006:
return 'HCN/Vaetecyanid'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10022:
return 'TOLUENE'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10021:
return 'BENZENE'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10012:
return 'C2H5OOH/Ethyl hydroperoxide'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10002:
return 'CH3O2H/Methyl hydroperoxide'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10001:
return 'CH3O2/Methyl peroxy radical'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 12:
return 'O/Oxygen atomic ground state (3P)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 20:
return 'H2/Molecular hydrogen'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 14:
return 'HO2/Hydroperhydroxyl radical'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 16:
return 'HONO'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 18:
return 'HO2NO2/HO2NO2'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 15:
return 'N2O5/Dinitrogen pentoxide'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 13:
return 'NO3/Nitrate radical'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63011:
return 'PAN/Peroxy acetyl nitrate'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 60013:
return 'NMVOC_C/Total NMVOC as C'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10004:
return 'CH3OH/Metanol'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10011:
return 'C2H5OH/Ethanol'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10017:
return 'C5H8/Isoprene'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 7:
return 'HCHO/Formalydehyde'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10023:
return 'OXYLENE/O-xylene'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10015:
return 'C3H6/Propene'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10009:
return 'C2H4/Ethene'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10016:
return 'NC4H10/N-butane'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10008:
return 'C2H6/Ethane'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 11:
return 'Turbulent Kinetic Energy'
if discipline == 10 and parameterCategory == 191 and parameterNumber == 1:
return 'Meridional overturning stream function'
if discipline == 10 and parameterCategory == 191 and parameterNumber == 0:
return 'Seconds prior to initial reference time (defined in section1) (oceonography)'
if discipline == 1 and parameterCategory == 1 and parameterNumber == 2:
return 'Probability if 0.01 inch of precipitation'
if discipline == 1 and parameterCategory == 1 and parameterNumber == 1:
return 'Per cent precipitation in a sub-period of an overall period'
if discipline == 1 and parameterCategory == 1 and parameterNumber == 0:
return 'Conditional per cent precipitation amount fractile for an overall period'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 6:
return 'Storm surface runoff'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 5:
return 'Baseflow-groundwater runoff'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 4:
return 'Snow water equivalent per cent of normal'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 3:
return 'Elevation of snow-covered terrain'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 2:
return 'Remotely-sensed snow cover'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 1:
return 'Flash flood runoff'
if discipline == 1 and parameterCategory == 0 and parameterNumber == 0:
return 'Flash flood guidance'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 14:
return 'Mean direction of Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 15:
return 'Mean period of waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 13:
return 'Secondary wave mean period'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 12:
return 'Secondary wave direction'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 11:
return 'Primary wave mean period'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 10:
return 'Primary wave direction'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 9:
return 'Mean Period Swell Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 8:
return 'Sign Height Swell Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 7:
return 'Direction of Swell Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 6:
return 'Mean Period Wind Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 5:
return 'Sign Height Wind Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 4:
return 'Direction of Wind Waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 3:
return 'Significant wave height'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 8:
return 'Ice divergence'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 7:
return 'Ice growth rate'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 3:
return 'Speed of ice drift'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 2:
return 'Direction of ice drift'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 1:
return 'Total ice thickness'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 0:
return 'Ice Cover'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 10:
return 'Density'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 0:
return 'Water temperature'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 1:
return 'Total Cloud Cover'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 1:
return 'Main thermocline anomaly'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 0:
return 'Main thermocline depth'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 2:
return 'Transient thermocline depth'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 3:
return 'Mixed layer depth'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 11:
return 'Snow Depth'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 0:
return 'Specific humidity'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 3:
return 'V-comp of Current'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 2:
return 'U-comp of Current'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 1:
return 'Speed of horizontal current'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 0:
return 'Direction of horizontal current'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 6:
return 'Montgomery stream function'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 5:
return 'Velocity potential'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 4:
return 'Stream function'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1:
return 'Wind speed'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 0:
return 'Wind direction'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 2:
return 'Wave spectra (3)'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 1:
return 'Wave spectra (2)'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 0:
return 'Wave spectra (1)'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 2:
return 'Potential temperature'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 1:
return 'Pressure reduced to MSL'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 11:
return 'Turbulent Kintetic Energy'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 3:
return 'Current north'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 2:
return 'Current east'
if discipline == 0 and parameterCategory == 191 and parameterNumber == 0:
return 'Seconds prior to initial reference time (defined in section1) (meteorology)'
if discipline == 0 and parameterCategory == 190 and parameterNumber == 0:
return 'Arbitrary text string'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 23:
return 'Supercooled large droplet probability'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 22:
return 'Clear air turbulence (CAT)'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 21:
return 'In-cloud turbulence'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 20:
return 'Icing'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 18:
return 'Snow free albedo'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 16:
return 'Contrail base'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 15:
return 'Contrail top'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 14:
return 'Contrail engine type'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 13:
return 'Contrail intensity'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 12:
return 'Planetary boundary-layer regime'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 10:
return 'Turbulence'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 9:
return 'Turbulence base'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 8:
return 'Turbulence top'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 7:
return 'Icing'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 6:
return 'Icing base'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 5:
return 'Icing top'
if discipline == 0 and parameterCategory == 16 and parameterNumber == 5:
return 'Composite reflectivity (radar)'
if discipline == 0 and parameterCategory == 16 and parameterNumber == 4:
return 'Reflectivity (radar)'
if discipline == 0 and parameterCategory == 16 and parameterNumber == 3:
return 'Echo top (radar)'
if discipline == 0 and parameterCategory == 16 and parameterNumber == 2:
return 'Equivalent radar reflectivity factor for paramterized convection'
if discipline == 0 and parameterCategory == 16 and parameterNumber == 1:
return 'Equivalent radar reflectivity factor for snow'
if discipline == 0 and parameterCategory == 16 and parameterNumber == 0:
return 'Equivalent radar reflectivity factor for rain'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 5:
return 'Precipitation (radar)'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 4:
return 'Layer-maximum base reflectivity'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 3:
return 'Vertically integrated liquid'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 2:
return 'Base radial velocity'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 1:
return 'Base reflectivity'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 0:
return 'Base spectrum width'
if discipline == 0 and parameterCategory == 14 and parameterNumber == 2:
return 'Total column integrated ozone'
if discipline == 0 and parameterCategory == 14 and parameterNumber == 1:
return 'Ozone mixing ratio'
if discipline == 0 and parameterCategory == 13 and parameterNumber == 0:
return 'Aerosol type'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 12:
return 'Richardson number'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 11:
return 'Best (4-layer) lifted index'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 10:
return 'Surface lifted index'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 9:
return 'Energy helicity index'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 8:
return 'Storm relative helicity'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 5:
return 'Sweat index'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 4:
return 'Total totals index'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 3:
return 'KO index'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 2:
return 'K index'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 33:
return 'Sunshine duration'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 32:
return 'Fraction of cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 25:
return 'Horizontal extent of cumulunimbus (CB)'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 24:
return 'Sunshine'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 23:
return 'Cloud ice mixing ratio'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 22:
return 'Cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 21:
return 'Ice fraction of total condensate'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 20:
return 'Total column-integrated condensate'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 19:
return 'Total column-integrated cloud ice'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 18:
return 'Total column-integrated cloud water'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 17:
return 'Total condensate'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 16:
return 'Convective cloud efficiency'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 15:
return 'Cloud work function'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 14:
return 'Non-convective cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 13:
return 'Ceiling'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 12:
return 'Cloud top'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 11:
return 'Cloud base'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 10:
return 'Thunderstorm coverage'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 9:
return 'Thunderstorm maximum tops'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 8:
return 'Cloud type'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 7:
return 'Cloud amount'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 6:
return 'Net long-wave radiation flux, clear sky'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 5:
return 'Net long wave radiation flux'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 4:
return 'Upward long-wave radiation flux'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 3:
return 'Downward long-wave radiation flux'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 51:
return 'UV index'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 50:
return 'UV index (under clear sky)'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 12:
return 'Downward UV radiation'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 11:
return 'Net short-wave radiation flux, clear sky'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 10:
return 'Photosynthetically active radiation'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 9:
return 'Net short wave radiation flux'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 8:
return 'Upward short-wave radiation flux'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 7:
return 'Downward short-wave radiation flux'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 53:
return 'Precipitation intensity snow'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 52:
return 'Precipitation intensity total'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22:
return 'Wind gust'
if discipline == 3 and parameterCategory == 0 and parameterNumber == 7:
return 'cloud mask'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 5:
return 'High cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 4:
return 'Medium cloud cove'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 3:
return 'Low cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 2:
return 'Convective cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 1:
return 'Total cloud cover'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 2:
return 'Probability thunderstorm'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 1:
return 'Relative humidity'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 0:
return 'Visibility'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 1:
return 'Pressure reduced to MSL'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 42:
return 'Snow cover'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 41:
return 'Potential evaporation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 40:
return 'Potential evaporation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 39:
return 'Percent frozen precipitation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 38:
return 'Horizontal moisture divergence'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 37:
return 'Convective precipitation rate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 36:
return 'Categorical snow'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 35:
return 'Categorical ice pellets'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 34:
return 'Categorical freezing rain'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 33:
return 'Categorical rain'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 32:
return 'Graupel'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 31:
return 'Hail'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 30:
return 'Precipitable water category'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 26:
return 'Horizontal moisture convergence'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 25:
return 'Snow mixing ratio'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 24:
return 'Rain mixing ratio'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 23:
return 'Ice water mixing ratio'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 22:
return 'Cloud mixing ratio'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 21:
return 'Condensate'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 20:
return 'Integrated liquid water'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 19:
return 'Precipitation type'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 18:
return 'Absolute humidity'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 17:
return 'Snow age'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 17:
return 'Skin temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 16:
return 'Snow phase change heat flux'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 13:
return 'Wind chill factor'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 12:
return 'Heat index'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 15:
return 'Virtual potential temperature'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 12:
return 'Cloud top of significant clouds'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 11:
return 'Cloud base of significant clouds'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 5:
return 'High cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 4:
return 'Medium cloud cove'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 3:
return 'Low cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 1:
return 'Total cloud cover'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 1:
return 'Relative humidity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22:
return 'Wind gusts'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 0:
return 'Visibility'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 5:
return 'Minimum temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 4:
return 'Maximum temperature'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 1:
return 'Pressure reduced to MSL'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 0:
return 'VIS/Visibility [m]'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 62000:
return 'PM/Total particulate matter'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 40009:
return 'PM2.5/PM2.5 particles'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 62012:
return 'SOA/Secondary Organic Aerosol'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63016:
return 'PNHX/Particulate ammonium'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63015:
return 'PNOX/Particulate nitrate'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63014:
return 'PSOX/Particulate sulfate'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 40008:
return 'PM10/PM10 particles'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63018:
return 'PMASS/Particle mass conc'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63017:
return 'PNUMBER/Number concentration'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 62001:
return 'DUST/Dust (particles)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 40008:
return 'PMCOARSE/Coarse particles'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 40009:
return 'PMFINE'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 62008:
return 'NACL'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 23:
return 'Rn222/Rn222'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63012:
return 'EC/Elementary carbon (particles)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63013:
return 'OC/Organic carbon (particles)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 2:
return 'CH4/CH4'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 3:
return 'CO2/CO2'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 4:
return 'CO/CO'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10000:
return 'OH/OH'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 19:
return 'H2O2/H2O2'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 0:
return 'O3'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63004:
return 'NHX_N/All reduced nitrogen (as nitrogen)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10:
return 'NH4(+1)/NH4'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 9:
return 'NH3/NH3'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 60004:
return 'NOY_N/All oxidised N-compounds (as nitrogen)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 60003:
return 'NOX_N/NO2+NO (NOx) as nitrogen'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63001:
return 'NOX/NOX as NO2'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63009:
return 'NITRATE/NITRATE'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63007:
return 'NH4NO3/NH4NO3'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 17:
return 'HNO3/HNO3'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 5:
return 'NO2/NO2'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 11:
return 'NO'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63005:
return 'SOX_S/All oxidised sulphur compounds (as sulphur)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63008:
return 'SULFATE/SULFATE'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 63006:
return 'NH42SO4/(NH4)2SO4'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 10500:
return 'DMS/DMS'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 22:
return 'SO4(2-)/SO4(2-) (sulphate)'
if discipline == 0 and parameterCategory == 20 and atmosphericChemicalConsituentType == 8:
return 'SO2/SO2'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 22:
return 'Wind gust'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 30:
return 'Friction velocity'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 6:
return 'CAPE'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 7:
return 'Convective inhibation'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 11:
return 'Turbulent Kinetic Energy'
if discipline == 2 and parameterCategory == 3 and parameterNumber == 0:
return 'Soil type'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 61:
return 'Snow density'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 19:
return 'Snow albedo'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 22:
return 'Slope fraction'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 11:
return 'Snow depth, cold snow'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 20:
return 'Integrated cloud condensate'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 21:
return 'Maximum wind'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 19:
return 'Wind mixing energy'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 18:
return 'Momentum flux, v component'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 17:
return 'Momentum flux, u component'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 20:
return 'Boundary layer dissipation'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 11:
return 'Sensible heat net flux'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 10:
return 'Latent heat net flux'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 6:
return 'Radiance (with respect to wave length)'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 5:
return 'Radiance (with respect to wave number)'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 4:
return 'Brightness temperature'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 3:
return 'Global radiation flux'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 2:
return 'Short wave radiation flux'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 2:
return 'Long wave radiation flux'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 1:
return 'Net long wave radiation flux (top of atmos.)'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 1:
return 'Net short wave radiation flux (top of atmos.)'
if discipline == 0 and parameterCategory == 5 and parameterNumber == 0:
return 'Net long wave radiation flux (surface)'
if discipline == 0 and parameterCategory == 4 and parameterNumber == 0:
return 'Net short wave radiation flux (surface)'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 13:
return 'Secondary wave mean period'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 12:
return 'Secondary wave direction'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 11:
return 'Primary wave mean period'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 10:
return 'Primary wave direction'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 9:
return 'Mean period of swell waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 8:
return 'Significant height of swell waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 7:
return 'Direction of swell waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 6:
return 'Mean period of wind waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 5:
return 'Significant height of wind waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 4:
return 'Direction of wind waves'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 3:
return 'Significant height of combined wind waves and swell'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 16:
return 'Snow melt'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 7:
return 'Ice divergence'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 6:
return 'Ice growth rate'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 5:
return 'v-component of ice drift'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 4:
return 'u-component of ice drift'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 3:
return 'Speed of ice drift'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 2:
return 'Direction of ice drift'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 1:
return 'Ice thickness'
if discipline == 10 and parameterCategory == 2 and parameterNumber == 0:
return 'Ice cover (ice=1 no ice=0)(see note)'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 5:
return 'Water run off'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 10:
return 'Density'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 3:
return 'Salinity'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 4:
return 'Vegetation'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 3:
return 'Soil moisture content'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 2:
return 'Soil temperature'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 1:
return 'Albedo'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 1:
return 'Surface roughness'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 1:
return 'Deviation of sea level from mean'
if discipline == 2 and parameterCategory == 0 and parameterNumber == 0:
return 'Land-sea mask (1=land 0=sea) (see note)'
if discipline == 10 and parameterCategory == 3 and parameterNumber == 0:
return 'Water Temperature'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 15:
return 'Large scale snow'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 14:
return 'Convective snow'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 1:
return 'Best lifted index (to 500 hPa)'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 6:
return 'Cloud water'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 5:
return 'High cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 4:
return 'Medium cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 3:
return 'Low cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 2:
return 'Convective cloud cover'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 1:
return 'Total cloud cover'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 1:
return 'Main thermocline anomaly'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 0:
return 'Main thermocline depth'
if discipline == 10 and parameterCategory == 4 and parameterNumber == 2:
return 'Transient thermocline depth'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 3:
return 'Mixed layer depth'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 11:
return 'Snow depth'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 13:
return 'Water equiv. of accum. snow depth'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 12:
return 'Snowfall rate water equivalent'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 10:
return 'Convective precipitation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 9:
return 'Large scale precipitation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 8:
return 'Total precipitation'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 2:
return 'Thunderstorm probability'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 7:
return 'Precipitation rate'
if discipline == 0 and parameterCategory == 6 and parameterNumber == 0:
return 'Cloud Ice'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 6:
return 'Evaporation'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 5:
return 'Saturation deficit'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 4:
return 'Vapour pressure'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 3:
return 'Precipitable water'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 2:
return 'Humidity mixing ratio'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 1:
return 'Relative humidity'
if discipline == 0 and parameterCategory == 1 and parameterNumber == 0:
return 'Specific humidity'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 3:
return 'v-component of current'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 2:
return 'u-component of current'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 1:
return 'Speed of current'
if discipline == 10 and parameterCategory == 1 and parameterNumber == 0:
return 'Direction of current'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 16:
return 'Vertical v-component shear'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 15:
return 'Vertical u-component shear'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 13:
return 'Relative divergence'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 12:
return 'Relative vorticity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 11:
return 'Absolute divergence'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 10:
return 'Absolute vorticity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 9:
return 'Geometric Vertical velocity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 8:
return 'Pressure Vertical velocity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 7:
return 'Sigma coord. vertical velocity'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 6:
return 'Montgomery stream function'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 5:
return 'Velocity potential'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 4:
return 'Stream function'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 3:
return 'v-component of wind'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 2:
return 'u-component of wind'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 1:
return 'Wind speed'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 0:
return 'Wind direction'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 2:
return 'Wave Spectra (3)'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 1:
return 'Wave Spectra (2)'
if discipline == 10 and parameterCategory == 0 and parameterNumber == 0:
return 'Wave Spectra (1)'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 9:
return 'Geopotential height anomaly'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 8:
return 'Pressure anomaly'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 9:
return 'Temperature anomaly'
if discipline == 0 and parameterCategory == 7 and parameterNumber == 0:
return 'Parcel lifted index (to 500 hPa)'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 8:
return 'Radar Spectra (3)'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 7:
return 'Radar Spectra (2)'
if discipline == 0 and parameterCategory == 15 and parameterNumber == 6:
return 'Radar Spectra (1)'
if discipline == 0 and parameterCategory == 19 and parameterNumber == 0:
return 'Visibility'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 8:
return 'Lapse rate'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 7:
return 'Dew point depression (or deficit)'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 6:
return 'Dew point temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 5:
return 'Minimum temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 4:
return 'Maximum temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 3:
return 'Pseudo-adiabatic potential temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 2:
return 'Potential temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 1:
return 'Virtual temperature'
if discipline == 0 and parameterCategory == 0 and parameterNumber == 0:
return 'Temperature'
if discipline == 0 and parameterCategory == 14 and parameterNumber == 0:
return 'Total ozone'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 7:
return 'Standard deviation of height'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 6:
return 'Geometric height'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 5:
return 'Geopotential height'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 4:
return 'Geopotential'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 3:
return 'ICAO Standard Atmosphere reference height'
if discipline == 0 and parameterCategory == 2 and parameterNumber == 14:
return 'Potential vorticity'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 2:
return 'Pressure tendency'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 1:
return 'Pressure reduced to MSL'
if discipline == 0 and parameterCategory == 3 and parameterNumber == 0:
return 'Pressure'
return wrapped
| 42.646205
| 102
| 0.638208
| 6,691
| 64,609
| 6.161112
| 0.086385
| 0.145546
| 0.112895
| 0.138948
| 0.847128
| 0.838104
| 0.82042
| 0.797303
| 0.563968
| 0.441175
| 0
| 0.047594
| 0.287808
| 64,609
| 1,514
| 103
| 42.674373
| 0.848307
| 0
| 0
| 0.217262
| 0
| 0
| 0.172654
| 0.000511
| 0
| 0
| 0
| 0
| 0
| 1
| 0.001984
| false
| 0
| 0.000992
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
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| 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
| 4
|
a96d1ad4941b2f2e2aed74363daf53f8103f7801
| 54
|
py
|
Python
|
configs/postgres.py
|
enabokov/chat
|
4a3a11c68c5089c119ebe5bec1dfebe699aa7c78
|
[
"MIT"
] | 1
|
2019-04-14T16:49:32.000Z
|
2019-04-14T16:49:32.000Z
|
configs/postgres.py
|
enabokov/Chat
|
4a3a11c68c5089c119ebe5bec1dfebe699aa7c78
|
[
"MIT"
] | 1
|
2021-03-25T21:44:52.000Z
|
2021-03-25T21:44:52.000Z
|
configs/postgres.py
|
enabokov/chat
|
4a3a11c68c5089c119ebe5bec1dfebe699aa7c78
|
[
"MIT"
] | null | null | null |
DSN = 'postgresql://edward:edward@postgres:5432/chat'
| 27
| 53
| 0.759259
| 7
| 54
| 5.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078431
| 0.055556
| 54
| 1
| 54
| 54
| 0.72549
| 0
| 0
| 0
| 0
| 0
| 0.833333
| 0.833333
| 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
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8d21b09432278f9368a292eca49b25d9da12e492
| 88
|
py
|
Python
|
apps/salt/apps.py
|
plsof/tabops_api
|
39f5d2fd5158ae0c22e43ab6ff7e2b07a68a62d8
|
[
"MIT"
] | 1
|
2019-07-31T07:34:38.000Z
|
2019-07-31T07:34:38.000Z
|
apps/salt/apps.py
|
plsof/tabops_api
|
39f5d2fd5158ae0c22e43ab6ff7e2b07a68a62d8
|
[
"MIT"
] | 9
|
2019-12-05T00:39:29.000Z
|
2022-02-10T14:13:29.000Z
|
apps/salt/apps.py
|
plsof/tabops_api
|
39f5d2fd5158ae0c22e43ab6ff7e2b07a68a62d8
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class SaltConfig(AppConfig):
name = 'apps.salt'
| 14.666667
| 33
| 0.738636
| 11
| 88
| 5.909091
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.170455
| 88
| 5
| 34
| 17.6
| 0.890411
| 0
| 0
| 0
| 0
| 0
| 0.102273
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8d7113f4a3fa2caf2cf878a899bd18ce82a24a1b
| 103
|
py
|
Python
|
article/serializers/__init__.py
|
mentix02/medialist-backend
|
397b1a382b12bab273360dadb0b3c32de43747cd
|
[
"MIT"
] | 1
|
2019-11-22T19:29:39.000Z
|
2019-11-22T19:29:39.000Z
|
article/serializers/__init__.py
|
mentix02/medialist-backend
|
397b1a382b12bab273360dadb0b3c32de43747cd
|
[
"MIT"
] | 1
|
2019-11-25T09:50:07.000Z
|
2021-07-15T07:05:28.000Z
|
article/serializers/__init__.py
|
mentix02/medialist-backend
|
397b1a382b12bab273360dadb0b3c32de43747cd
|
[
"MIT"
] | null | null | null |
from article.serializers.serializers import (
ArticleListSerializer,
ArticleDetailSerializer
)
| 20.6
| 45
| 0.805825
| 7
| 103
| 11.857143
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.145631
| 103
| 4
| 46
| 25.75
| 0.943182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8d86e19a0f7bf48d0eb61da351363ace81caa8fc
| 353
|
py
|
Python
|
greetings.py
|
ucsd-cse-spis-2016/spis16-lecture-0815
|
24e0a8ea9726f969eb357db33eb2925aabd25e43
|
[
"MIT"
] | null | null | null |
greetings.py
|
ucsd-cse-spis-2016/spis16-lecture-0815
|
24e0a8ea9726f969eb357db33eb2925aabd25e43
|
[
"MIT"
] | null | null | null |
greetings.py
|
ucsd-cse-spis-2016/spis16-lecture-0815
|
24e0a8ea9726f969eb357db33eb2925aabd25e43
|
[
"MIT"
] | null | null | null |
from flask import Flask
app = Flask(__name__)
@app.route("/en")
def hello():
return "Hello SPIS 2016!"
@app.route("/cn")
def ni_hao():
return "Ni Hao SPIS 2016!"
@app.route("/es")
def hola():
return "Hola SPIS 2016!"
@app.route("/fa")
def sobh_bx():
return "Sobh Bexair SPIS 2016!"
if __name__ == "__main__":
app.run(port=5000)
| 16.045455
| 35
| 0.628895
| 54
| 353
| 3.851852
| 0.481481
| 0.153846
| 0.158654
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06993
| 0.189802
| 353
| 21
| 36
| 16.809524
| 0.657343
| 0
| 0
| 0
| 0
| 0
| 0.254958
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.0625
| 0.25
| 0.5625
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
57172ba3fed738751a65af00ff67b7037fd96b96
| 206
|
py
|
Python
|
qclib/qclab.py
|
hagne/qclib
|
c90e06cb22708d610126710715a5d66bd4dc0898
|
[
"MIT"
] | null | null | null |
qclib/qclab.py
|
hagne/qclib
|
c90e06cb22708d610126710715a5d66bd4dc0898
|
[
"MIT"
] | null | null | null |
qclib/qclab.py
|
hagne/qclib
|
c90e06cb22708d610126710715a5d66bd4dc0898
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import qclib.tag_times
def qc_by_tagging_times(path2data, path2database):
out = qclib.tag_times.Controller(path2data=path2data, path2database=path2database)
return out
| 25.75
| 86
| 0.747573
| 25
| 206
| 5.96
| 0.64
| 0.107383
| 0.174497
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.039773
| 0.145631
| 206
| 8
| 87
| 25.75
| 0.806818
| 0.101942
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
571ee3c5442f3448677cce9af4cb7b0165e2aa98
| 148
|
py
|
Python
|
tests/test_tail_chunks.py
|
moskytw/tacit
|
58286a71140be150438d10acf93028ef5f78f6d1
|
[
"MIT"
] | null | null | null |
tests/test_tail_chunks.py
|
moskytw/tacit
|
58286a71140be150438d10acf93028ef5f78f6d1
|
[
"MIT"
] | null | null | null |
tests/test_tail_chunks.py
|
moskytw/tacit
|
58286a71140be150438d10acf93028ef5f78f6d1
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from tacit import tac_slices
for chunk in tac_slices('data/ordered.list', 2):
print repr(chunk)
| 18.5
| 48
| 0.675676
| 24
| 148
| 4.083333
| 0.875
| 0.183673
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016129
| 0.162162
| 148
| 7
| 49
| 21.142857
| 0.774194
| 0.283784
| 0
| 0
| 0
| 0
| 0.163462
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
572a6ba98328eb8f0c8ea9e03989e22fca55780e
| 271
|
py
|
Python
|
backend/users/serializers.py
|
rmisiarek/django_vue_base
|
440459fdd73209e47567fb3572c056a05dc1c45a
|
[
"MIT"
] | 2
|
2019-04-28T20:26:13.000Z
|
2020-05-04T03:18:23.000Z
|
backend/users/serializers.py
|
rmisiarek/django_vue_base
|
440459fdd73209e47567fb3572c056a05dc1c45a
|
[
"MIT"
] | 22
|
2019-12-04T22:34:42.000Z
|
2022-02-12T07:12:29.000Z
|
backend/users/serializers.py
|
shrekdev/Django_Vue_Base
|
4f200358724bce137f9c5e723036b280e4fd81e2
|
[
"MIT"
] | null | null | null |
from djoser.serializers import UserCreateSerializer
from .models import CustomUser
class CustomUserRegistrationSerializer(UserCreateSerializer):
class Meta(UserCreateSerializer.Meta):
model = CustomUser
fields = ('first_name', 'email', 'password')
| 27.1
| 61
| 0.763838
| 23
| 271
| 8.956522
| 0.695652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158672
| 271
| 9
| 62
| 30.111111
| 0.903509
| 0
| 0
| 0
| 0
| 0
| 0.084871
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.333333
| 0
| 0.666667
| 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
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
572d902af0ded1f19ce7ceba83a724a3db7dd67b
| 30
|
py
|
Python
|
flaskslack/__init__.py
|
Jamiewu2/flask-slack-template
|
8a2168aaab03ed080a3eab186c20a488cdf2055e
|
[
"MIT"
] | null | null | null |
flaskslack/__init__.py
|
Jamiewu2/flask-slack-template
|
8a2168aaab03ed080a3eab186c20a488cdf2055e
|
[
"MIT"
] | null | null | null |
flaskslack/__init__.py
|
Jamiewu2/flask-slack-template
|
8a2168aaab03ed080a3eab186c20a488cdf2055e
|
[
"MIT"
] | null | null | null |
name = "flask_slack_template"
| 15
| 29
| 0.8
| 4
| 30
| 5.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 30
| 1
| 30
| 30
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
939077a570d47a79177487efee3028816d6b91da
| 421
|
py
|
Python
|
trains/models.py
|
Seshathri-saravanan/quest
|
397c92e36167b9554fd72f55bdac0a2cbcdfea6f
|
[
"MIT"
] | null | null | null |
trains/models.py
|
Seshathri-saravanan/quest
|
397c92e36167b9554fd72f55bdac0a2cbcdfea6f
|
[
"MIT"
] | null | null | null |
trains/models.py
|
Seshathri-saravanan/quest
|
397c92e36167b9554fd72f55bdac0a2cbcdfea6f
|
[
"MIT"
] | 1
|
2021-11-09T15:58:33.000Z
|
2021-11-09T15:58:33.000Z
|
from django.db import models
class Train(models.Model):
no = models.CharField(max_length=20)
destination = models.CharField(max_length=50)
source = models.CharField(max_length=50)
days = models.CharField(max_length=10)
name = models.CharField(max_length=50)
arrival = models.CharField(max_length=20)
departure = models.CharField(max_length=20)
def __str__(self):
return self.name
| 32.384615
| 49
| 0.724466
| 57
| 421
| 5.157895
| 0.438596
| 0.357143
| 0.428571
| 0.571429
| 0.530612
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040115
| 0.171021
| 421
| 12
| 50
| 35.083333
| 0.802292
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| false
| 0
| 0.090909
| 0.090909
| 1
| 0
| 0
| 0
| 0
| null | 1
| 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
| 1
| 0
|
0
| 4
|
93ea9b725dcae36d582332e92813504608956ade
| 49
|
py
|
Python
|
src/fseq/__init__.py
|
tanioklyce/python-fseq
|
be0d5d895ead1b099dd0d47602520c9ebf1f449d
|
[
"MIT"
] | 3
|
2019-12-07T19:32:32.000Z
|
2021-12-27T05:19:26.000Z
|
src/fseq/__init__.py
|
tanioklyce/python-fseq
|
be0d5d895ead1b099dd0d47602520c9ebf1f449d
|
[
"MIT"
] | 3
|
2020-01-05T03:05:58.000Z
|
2021-04-24T06:28:16.000Z
|
src/fseq/__init__.py
|
tanioklyce/python-fseq
|
be0d5d895ead1b099dd0d47602520c9ebf1f449d
|
[
"MIT"
] | 4
|
2020-03-13T17:49:06.000Z
|
2022-03-14T01:26:28.000Z
|
__version__ = '0.1.0'
from .parser import parse
| 12.25
| 25
| 0.714286
| 8
| 49
| 3.875
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 0.163265
| 49
| 3
| 26
| 16.333333
| 0.682927
| 0
| 0
| 0
| 0
| 0
| 0.102041
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 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
| 1
| 0
| 0
| 0
|
0
| 4
|
93f8df4d6dce3b4bf4d20eae42a3c300c4be5bdc
| 139,378
|
py
|
Python
|
rcsb/utils/dictionary/DictMethodEntityInstanceHelper.py
|
rcsb/py-rcsb_utils_dictionary
|
459f759ed7bc267ef63f57b230974afe555d9157
|
[
"Apache-2.0"
] | 2
|
2022-01-22T16:23:44.000Z
|
2022-01-22T20:28:34.000Z
|
rcsb/utils/dictionary/DictMethodEntityInstanceHelper.py
|
rcsb/py-rcsb_utils_dictionary
|
459f759ed7bc267ef63f57b230974afe555d9157
|
[
"Apache-2.0"
] | 4
|
2021-11-23T15:27:49.000Z
|
2022-03-30T19:51:43.000Z
|
rcsb/utils/dictionary/DictMethodEntityInstanceHelper.py
|
rcsb/py-rcsb_utils_dictionary
|
459f759ed7bc267ef63f57b230974afe555d9157
|
[
"Apache-2.0"
] | 2
|
2022-01-22T16:23:46.000Z
|
2022-03-27T18:01:42.000Z
|
##
# File: DictMethodEntityInstanceHelper.py
# Author: J. Westbrook
# Date: 16-Jul-2019
# Version: 0.001 Initial version
#
#
# Updates:
# 22-Nov-2021 dwp authSeqBeg and authSeqEnd are returned as integers but must be compared as strings in pAuthAsymD
#
##
"""
This helper class implements methods supporting entity-instance-level functions in the RCSB dictionary extension.
"""
__docformat__ = "google en"
__author__ = "John Westbrook"
__email__ = "jwest@rcsb.rutgers.edu"
__license__ = "Apache 2.0"
# pylint: disable=too-many-lines
import logging
import re
import time
from collections import OrderedDict
from mmcif.api.DataCategory import DataCategory
from rcsb.utils.dictionary.DictMethodSecStructUtils import DictMethodSecStructUtils
logger = logging.getLogger(__name__)
class DictMethodEntityInstanceHelper(object):
"""This helper class implements methods supporting entity-instance-level functions in the RCSB dictionary extension."""
def __init__(self, **kwargs):
"""
Args:
resourceProvider: (obj) instance of DictMethodResourceProvider()
raiseExceptions: (bool, optional) flag to raise rather than handle exceptions
"""
#
self._raiseExceptions = kwargs.get("raiseExceptions", False)
self.__wsPattern = re.compile(r"\s+", flags=re.UNICODE | re.MULTILINE)
self.__reNonDigit = re.compile(r"[^\d]+")
#
rP = kwargs.get("resourceProvider")
self.__commonU = rP.getResource("DictMethodCommonUtils instance") if rP else None
# dapw = rP.getResource("DictionaryAPIProviderWrapper instance") if rP else None
# self.__dApi = dapw.getApiByName("pdbx_core") if dapw else None
self.__dApi = kwargs.get("dictionaryApi", None)
if self.__dApi:
logger.debug("Loaded API for: %r", self.__dApi.getDictionaryTitle())
else:
logger.error("Missing dictionary API %r", kwargs)
#
self.__ccP = rP.getResource("ChemCompProvider instance") if rP else None
self.__rlsP = rP.getResource("RcsbLigandScoreProvider instance") if rP else None
self.__niP = rP.getResource("NeighborInteractionProvider instance") if rP else None
#
self.__ssU = DictMethodSecStructUtils(rP, raiseExceptions=self._raiseExceptions)
#
logger.debug("Dictionary entity-instance level method helper init")
def buildContainerEntityInstanceIds(self, dataContainer, catName, **kwargs):
"""
Build:
loop_
_rcsb_entity_instance_container_identifiers.entry_id
_rcsb_entity_instance_container_identifiers.entity_id
_rcsb_entity_instance_container_identifiers.entity_type
_rcsb_entity_instance_container_identifiers.asym_id
_rcsb_entity_instance_container_identifiers.auth_asym_id
_rcsb_entity_instance_container_identifiers.comp_id
_rcsb_entity_instance_container_identifiers.auth_seq_id
...
"""
logger.debug("Starting catName %s kwargs %r", catName, kwargs)
try:
if not (dataContainer.exists("entry") and dataContainer.exists("entity")):
return False
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
#
cObj = dataContainer.getObj(catName)
asymD = self.__commonU.getInstanceIdMap(dataContainer)
npAuthAsymD = self.__commonU.getNonPolymerIdMap(dataContainer)
brAuthAsymD = self.__commonU.getBranchedIdMap(dataContainer)
seqIdMapAsymD = self.__commonU.getAuthToSeqIdMap(dataContainer)
#
for ii, asymId in enumerate(sorted(asymD)):
for k, v in asymD[asymId].items():
cObj.setValue(v, k, ii)
v = ",".join(seqIdMapAsymD[asymId]) if asymId in seqIdMapAsymD else "?"
cObj.setValue(v, "auth_to_entity_poly_seq_mapping", ii)
ok = self.__addPdbxValidateAsymIds(dataContainer, asymD, npAuthAsymD, brAuthAsymD)
return ok
except Exception as e:
logger.exception("For %s failing with %s", catName, str(e))
return False
def __addPdbxValidateAsymIds(self, dataContainer, asymMapD, npAuthAsymMapD, brAuthAsymMapD):
"""Internal method to insert Asym_id's into the following categories:
_pdbx_validate_close_contact.rcsb_label_asym_id_1
_pdbx_validate_close_contact.rcsb_label_asym_id_2
_pdbx_validate_symm_contact.rcsb_label_asym_id_1
_pdbx_validate_symm_contact.rcsb_label_asym_id_2
_pdbx_validate_rmsd_bond.rcsb_label_asym_id_1
_pdbx_validate_rmsd_bond.rcsb_label_asym_id_2
_pdbx_validate_rmsd_angle.rcsb_label_asym_id_1
_pdbx_validate_rmsd_angle.rcsb_label_asym_id_2
_pdbx_validate_rmsd_angle.rcsb_label_asym_id_3
_pdbx_validate_torsion.rcsb_label_asym_id
_pdbx_validate_peptide_omega.rcsb_label_asym_id_1
_pdbx_validate_peptide_omega.rcsb_label_asym_id_2
_pdbx_validate_chiral.rcsb_label_asym_id
_pdbx_validate_planes.rcsb_label_asym_id
_pdbx_validate_planes_atom.rcsb_label_asym_id
_pdbx_validate_main_chain_plane.rcsb_label_asym_id
_pdbx_validate_polymer_linkage.rcsb_label_asym_id_1
_pdbx_validate_polymer_linkage.rcsb_label_asym_id_2
"""
#
mD = {
"pdbx_validate_close_contact": [("auth_asym_id_1", "auth_seq_id_1", "rcsb_label_asym_id_1"), ("auth_asym_id_2", "auth_seq_id_2", "rcsb_label_asym_id_2")],
"pdbx_validate_symm_contact": [("auth_asym_id_1", "auth_seq_id_1", "rcsb_label_asym_id_1"), ("auth_asym_id_2", "auth_seq_id_2", "rcsb_label_asym_id_2")],
"pdbx_validate_rmsd_bond": [("auth_asym_id_1", "auth_seq_id_1", "rcsb_label_asym_id_1"), ("auth_asym_id_2", "auth_seq_id_2", "rcsb_label_asym_id_2")],
"pdbx_validate_rmsd_angle": [
("auth_asym_id_1", "auth_seq_id_1", "rcsb_label_asym_id_1"),
("auth_asym_id_2", "auth_seq_id_2", "rcsb_label_asym_id_2"),
("auth_asym_id_3", "auth_seq_id_3", "rcsb_label_asym_id_3"),
],
"pdbx_validate_torsion": [("auth_asym_id", "auth_seq_id", "rcsb_label_asym_id")],
"pdbx_validate_peptide_omega": [("auth_asym_id_1", "auth_seq_id_1", "rcsb_label_asym_id_1"), ("auth_asym_id_2", "auth_seq_id_2", "rcsb_label_asym_id_2")],
"pdbx_validate_chiral": [("auth_asym_id", "auth_seq_id", "rcsb_label_asym_id")],
"pdbx_validate_planes": [("auth_asym_id", "auth_seq_id", "rcsb_label_asym_id")],
"pdbx_validate_planes_atom": [("auth_asym_id", "auth_seq_id", "rcsb_label_asym_id")],
"pdbx_validate_main_chain_plane": [("auth_asym_id", "auth_seq_id", "rcsb_label_asym_id")],
"pdbx_validate_polymer_linkage": [("auth_asym_id_1", "auth_seq_id_1", "rcsb_label_asym_id_1"), ("auth_asym_id_2", "auth_seq_id_2", "rcsb_label_asym_id_2")],
"pdbx_distant_solvent_atoms": [("auth_asym_id", "auth_seq_id", "rcsb_label_asym_id")],
}
# -- JDW
# polymer lookup
authAsymD = {}
for asymId, dD in asymMapD.items():
if dD["entity_type"].lower() in ["polymer", "branched"]:
authAsymD[(dD["auth_asym_id"], "?")] = asymId
#
# non-polymer lookup
#
logger.debug("%s authAsymD %r", dataContainer.getName(), authAsymD)
for (authAsymId, seqId), dD in npAuthAsymMapD.items():
if dD["entity_type"].lower() not in ["polymer", "branched"]:
authAsymD[(authAsymId, seqId)] = dD["asym_id"]
#
# branched lookup
logger.debug("%s authAsymD %r", dataContainer.getName(), authAsymD)
for (authAsymId, seqId), dD in brAuthAsymMapD.items():
if dD["entity_type"].lower() in ["branched"]:
authAsymD[(authAsymId, seqId)] = dD["asym_id"]
#
#
for catName, mTupL in mD.items():
if not dataContainer.exists(catName):
continue
cObj = dataContainer.getObj(catName)
for ii in range(cObj.getRowCount()):
for mTup in mTupL:
try:
authVal = cObj.getValue(mTup[0], ii)
except Exception:
authVal = "?"
try:
authSeqId = cObj.getValue(mTup[1], ii)
except Exception:
authSeqId = "?"
# authVal = cObj.getValue(mTup[0], ii)
# authSeqId = cObj.getValue(mTup[1], ii)
#
# logger.debug("%s %4d authAsymId %r authSeqId %r" % (catName, ii, authVal, authSeqId))
#
if (authVal, authSeqId) in authAsymD:
if not cObj.hasAttribute(mTup[2]):
cObj.appendAttribute(mTup[2])
cObj.setValue(authAsymD[(authVal, authSeqId)], mTup[2], ii)
elif (authVal, "?") in authAsymD:
if not cObj.hasAttribute(mTup[2]):
cObj.appendAttribute(mTup[2])
cObj.setValue(authAsymD[(authVal, "?")], mTup[2], ii)
else:
if authVal not in ["."]:
logger.warning("%s %s missing mapping auth asymId %s authSeqId %r", dataContainer.getName(), catName, authVal, authSeqId)
if not cObj.hasAttribute(mTup[2]):
cObj.appendAttribute(mTup[2])
cObj.setValue("?", mTup[2], ii)
return True
def __initializeInstanceFeatureType(self, dataContainer, asymId, fCountD, countType="set"):
instTypeD = self.__commonU.getInstanceTypes(dataContainer)
eTupL = []
eType = instTypeD[asymId]
if eType == "polymer":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_polymer_instance_feature_summary", "type")
elif eType in ["non-polymer", "water"]:
eTupL = self.__dApi.getEnumListWithDetail("rcsb_nonpolymer_instance_feature_summary", "type")
elif eType == "branched":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_branched_instance_feature_summary", "type")
else:
logger.error("%r asymId %r eType %r", dataContainer.getName(), asymId, eType)
#
fTypeL = sorted([tup[0] for tup in eTupL])
#
for fType in fTypeL:
if countType == "set":
fCountD.setdefault(asymId, {}).setdefault(fType, set())
else:
fCountD.setdefault(asymId, {}).setdefault(fType, [])
#
return fCountD
def buildEntityInstanceFeatures(self, dataContainer, catName, **kwargs):
"""Build category rcsb_entity_instance_feature ...
Example:
loop_
_rcsb_entity_instance_feature.ordinal
_rcsb_entity_instance_feature.entry_id
_rcsb_entity_instance_feature.entity_id
_rcsb_entity_instance_feature.asym_id
_rcsb_entity_instance_feature.auth_asym_id
_rcsb_entity_instance_feature.feature_id
_rcsb_entity_instance_feature.type
_rcsb_entity_instance_feature.name
_rcsb_entity_instance_feature.description
_rcsb_entity_instance_feature.reference_scheme
_rcsb_entity_instance_feature.provenance_source
_rcsb_entity_instance_feature.assignment_version
_rcsb_entity_instance_feature.feature_positions_beg_seq_id
_rcsb_entity_instance_feature.feature_positions_end_seq_id
_rcsb_entity_instance_feature.feature_positions_value
"""
doLineage = False
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
try:
if catName != "rcsb_entity_instance_feature":
return False
# Exit if source categories are missing
if not dataContainer.exists("entry"):
return False
#
# Create the new target category
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cObj = dataContainer.getObj(catName)
#
rP = kwargs.get("resourceProvider")
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
asymIdRangesD = self.__commonU.getInstancePolymerRanges(dataContainer)
pAuthAsymD = self.__commonU.getPolymerIdMap(dataContainer)
instTypeD = self.__commonU.getInstanceTypes(dataContainer)
# ---------------
ii = cObj.getRowCount()
# Add CATH assignments
cathU = rP.getResource("CathProvider instance") if rP else None
if cathU:
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
dL = cathU.getCathResidueRanges(entryId.lower(), authAsymId)
logger.debug("%s asymId %s authAsymId %s dL %r", entryId, asymId, authAsymId, dL)
vL = cathU.getCathVersions(entryId.lower(), authAsymId)
for (cathId, domId, tId, authSeqBeg, authSeqEnd) in dL:
addPropTupL = []
begSeqId = pAuthAsymD[(authAsymId, str(authSeqBeg), None)]["seq_id"] if (authAsymId, str(authSeqBeg), None) in pAuthAsymD else None
endSeqId = pAuthAsymD[(authAsymId, str(authSeqEnd), None)]["seq_id"] if (authAsymId, str(authSeqEnd), None) in pAuthAsymD else None
if not (begSeqId and endSeqId):
# take the full chain
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
if not (begSeqId and endSeqId):
logger.info(
"%s CATH cathId %r domId %r tId %r asymId %r authAsymId %r authSeqBeg %r authSeqEnd %r",
entryId,
cathId,
domId,
tId,
asymId,
authAsymId,
authSeqBeg,
authSeqEnd,
)
continue
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("CATH", "type", ii)
#
cObj.setValue(str(cathId), "feature_id", ii)
# cObj.setValue(str(domId), "feature_id", ii)
# cObj.setValue(cathId, "name", ii)
cObj.setValue(cathU.getCathName(cathId), "name", ii)
addPropTupL.append(("CATH_NAME", cathU.getCathName(cathId)))
addPropTupL.append(("CATH_DOMAIN_ID", str(domId)))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
if doLineage:
cObj.setValue(";".join(cathU.getNameLineage(cathId)), "annotation_lineage_name", ii)
idLinL = cathU.getIdLineage(cathId)
cObj.setValue(";".join(idLinL), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("CATH", "provenance_source", ii)
cObj.setValue(vL[0], "assignment_version", ii)
#
ii += 1
# ------------
# Add SCOP assignments
oldCode = False
scopU = rP.getResource("ScopProvider instance") if rP else None
if scopU:
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
dL = scopU.getScopResidueRanges(entryId.lower(), authAsymId)
version = scopU.getScopVersion()
for (sunId, domId, sccs, tId, authSeqBeg, authSeqEnd) in dL:
addPropTupL = []
begSeqId = pAuthAsymD[(authAsymId, str(authSeqBeg), None)]["seq_id"] if (authAsymId, str(authSeqBeg), None) in pAuthAsymD else None
endSeqId = pAuthAsymD[(authAsymId, str(authSeqEnd), None)]["seq_id"] if (authAsymId, str(authSeqEnd), None) in pAuthAsymD else None
# logger.info("%s (first) begSeqId %r endSeqId %r", entryId, begSeqId, endSeqId)
if not (begSeqId and endSeqId):
# try another full range
# begSeqId = asymIdRangesD[asymId]["begAuthSeqId"] if asymId in asymIdRangesD and "begAuthSeqId" in asymIdRangesD[asymId] else None
# endSeqId = asymIdRangesD[asymId]["endAuthSeqId"] if asymId in asymIdRangesD and "endAuthSeqId" in asymIdRangesD[asymId] else None
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
# logger.info("%s (altd) begSeqId %r endSeqId %r", entryId, begSeqId, endSeqId)
if not (begSeqId and endSeqId):
logger.debug(
"%s unqualified SCOP sunId %r domId %r sccs %r asymId %r authAsymId %r authSeqBeg %r authSeqEnd %r",
entryId,
sunId,
domId,
sccs,
asymId,
authAsymId,
authSeqBeg,
authSeqEnd,
)
continue
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP", "type", ii)
#
# cObj.setValue(str(sunId), "domain_id", ii)
cObj.setValue(domId, "feature_id", ii)
cObj.setValue(scopU.getScopName(sunId), "name", ii)
#
addPropTupL.append(("SCOP_NAME", scopU.getScopName(sunId)))
addPropTupL.append(("SCOP_DOMAIN_ID", str(domId)))
addPropTupL.append(("SCOP_SUN_ID", str(sunId)))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
if doLineage:
tL = [t if t is not None else "" for t in scopU.getNameLineage(sunId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(sunId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
if oldCode:
if begSeqId is not None and endSeqId is not None:
if begSeqId == 0:
begSeqId += 1
endSeqId += 1
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
else:
tSeqBeg = asymIdRangesD[asymId]["begAuthSeqId"] if asymId in asymIdRangesD and "begAuthSeqId" in asymIdRangesD[asymId] else None
cObj.setValue(tSeqBeg, "feature_positions_beg_seq_id", ii)
tSeqEnd = asymIdRangesD[asymId]["endAuthSeqId"] if asymId in asymIdRangesD and "endAuthSeqId" in asymIdRangesD[asymId] else None
cObj.setValue(tSeqEnd, "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("SCOPe", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# ------------
# JDW - Add SCOP2 family assignments
scopU = rP.getResource("Scop2Provider instance") if rP else None
if scopU:
version = scopU.getVersion()
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = scopU.getFamilyResidueRanges(entryId.upper(), authAsymId)
for (domId, familyId, _, authSeqBeg, authSeqEnd) in dL:
addPropTupL = []
# map to entity polymer coordinates
begSeqId = pAuthAsymD[(authAsymId, str(authSeqBeg), None)]["seq_id"] if (authAsymId, str(authSeqBeg), None) in pAuthAsymD else None
endSeqId = pAuthAsymD[(authAsymId, str(authSeqEnd), None)]["seq_id"] if (authAsymId, str(authSeqEnd), None) in pAuthAsymD else None
# logger.info("%s (first) begSeqId %r endSeqId %r", entryId, begSeqId, endSeqId)
if not (begSeqId and endSeqId):
# Use full range
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP2_FAMILY", "type", ii)
#
cObj.setValue(domId, "feature_id", ii)
cObj.setValue(scopU.getName(familyId), "name", ii)
#
addPropTupL.append(("SCOP2_FAMILY_NAME", scopU.getName(familyId)))
addPropTupL.append(("SCOP2_DOMAIN_ID", str(domId)))
addPropTupL.append(("SCOP2_FAMILY_ID", str(familyId)))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
if doLineage:
tL = [t if t is not None else "" for t in scopU.getNameLineage(familyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(familyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("SCOP2", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# JDW - Add SCOP2 superfamily assignments
# ------------
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = scopU.getSuperFamilyResidueRanges(entryId.lower(), authAsymId)
for (domId, superfamilyId, _, authSeqBeg, authSeqEnd) in dL:
addPropTupL = []
# map to entity polymer coordinates
begSeqId = pAuthAsymD[(authAsymId, str(authSeqBeg), None)]["seq_id"] if (authAsymId, str(authSeqBeg), None) in pAuthAsymD else None
endSeqId = pAuthAsymD[(authAsymId, str(authSeqEnd), None)]["seq_id"] if (authAsymId, str(authSeqEnd), None) in pAuthAsymD else None
if not (begSeqId and endSeqId):
# Use full range
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP2_SUPERFAMILY", "type", ii)
#
cObj.setValue(domId, "feature_id", ii)
cObj.setValue(scopU.getName(superfamilyId), "name", ii)
#
addPropTupL.append(("SCOP2_SUPERFAMILY_NAME", scopU.getName(superfamilyId)))
addPropTupL.append(("SCOP2_DOMAIN_ID", str(domId)))
addPropTupL.append(("SCOP2_SUPERFAMILY_ID", str(superfamilyId)))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
if doLineage:
tL = [t if t is not None else "" for t in scopU.getNameLineage(superfamilyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(superfamilyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("SCOP2", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# JDW - Add SCOP2B superfamily assignments
# ------------
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = scopU.getSuperFamilyResidueRanges2B(entryId.lower(), authAsymId)
for (domId, superfamilyId, _, authSeqBeg, authSeqEnd) in dL:
addPropTupL = []
# map to entity polymer coordinates
begSeqId = pAuthAsymD[(authAsymId, str(authSeqBeg), None)]["seq_id"] if (authAsymId, str(authSeqBeg), None) in pAuthAsymD else None
endSeqId = pAuthAsymD[(authAsymId, str(authSeqEnd), None)]["seq_id"] if (authAsymId, str(authSeqEnd), None) in pAuthAsymD else None
if not (begSeqId and endSeqId):
# Use full range
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP2B_SUPERFAMILY", "type", ii)
#
cObj.setValue(domId, "feature_id", ii)
cObj.setValue(scopU.getName(superfamilyId), "name", ii)
#
addPropTupL.append(("SCOP2_SUPERFAMILY_NAME", scopU.getName(superfamilyId)))
addPropTupL.append(("SCOP2_DOMAIN_ID", str(domId)))
addPropTupL.append(("SCOP2_SUPERFAMILY_ID", str(superfamilyId)))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
if doLineage:
tL = [t if t is not None else "" for t in scopU.getNameLineage(superfamilyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(superfamilyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("SCOP2B", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# ------------
# ECOD assignments -
ecodU = rP.getResource("EcodProvider instance") if rP else None
if ecodU:
version = ecodU.getVersion()
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = ecodU.getFamilyResidueRanges(entryId.lower(), authAsymId)
for (domId, familyId, _, authSeqBeg, authSeqEnd) in dL:
addPropTupL = []
# map to entity polymer coordinates
begSeqId = pAuthAsymD[(authAsymId, str(authSeqBeg), None)]["seq_id"] if (authAsymId, str(authSeqBeg), None) in pAuthAsymD else None
endSeqId = pAuthAsymD[(authAsymId, str(authSeqEnd), None)]["seq_id"] if (authAsymId, str(authSeqEnd), None) in pAuthAsymD else None
if not (begSeqId and endSeqId):
# Use full range
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("ECOD", "type", ii)
#
fName = ecodU.getName(familyId)[3:]
cObj.setValue(domId, "feature_id", ii)
cObj.setValue(fName, "name", ii)
#
addPropTupL.append(("ECOD_FAMILY_NAME", fName))
addPropTupL.append(("ECOD_DOMAIN_ID", str(domId)))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
if doLineage:
tL = [t if t is not None else "" for t in ecodU.getNameLineage(familyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = ecodU.getIdLineage(familyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("ECOD", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
#
# --- SAbDab
sabdabP = rP.getResource("SAbDabTargetFeatureProvider instance") if rP else None
if sabdabP:
sabdabVersion = sabdabP.getVersion()
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer"]:
continue
entityId = asymIdD[asymId]
instId = entryId.lower() + "." + authAsymId
for ky, fType in [
("light_ctype", "SABDAB_ANTIBODY_LIGHT_CHAIN_TYPE"),
("light_subclass", "SABDAB_ANTIBODY_LIGHT_CHAIN_SUBCLASS"),
("heavy_subclass", "SABDAB_ANTIBODY_HEAVY_CHAIN_SUBCLASS"),
]:
fName = sabdabP.getAssignment(instId, ky)
if not fName or fName in ["?", "unknown"]:
continue
# Full sequence feature
begSeqId = asymIdRangesD[asymId]["begSeqId"] if asymId in asymIdRangesD else None
endSeqId = asymIdRangesD[asymId]["endSeqId"] if asymId in asymIdRangesD else None
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(fType, "type", ii)
cObj.setValue("SAbDab_" + instId, "feature_id", ii)
cObj.setValue(fName, "name", ii)
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
cObj.setValue("SAbDab", "provenance_source", ii)
cObj.setValue(sabdabVersion, "assignment_version", ii)
cObj.setValue("PDB entity", "reference_scheme", ii)
#
ii += 1
# ------------
# Add sheet/strn features
instSheetRangeD = self.__ssU.getProtSecStructFeatures(dataContainer, "sheet")
sheetSenseD = self.__ssU.getProtSheetSense(dataContainer)
for sId, sD in instSheetRangeD.items():
for asymId, rTupL in sD.items():
addPropTupL = []
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(rTupL[0][2], "type", ii)
#
cObj.setValue(str(sId), "feature_id", ii)
cObj.setValue("sheet", "name", ii)
if sId in sheetSenseD:
cObj.setValue(sheetSenseD[sId] + " sense sheet", "description", ii)
#
addPropTupL.append(("SHEET_SENSE", sheetSenseD[sId]))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
tSeqId = ";".join([str(rTup[0]) for rTup in rTupL])
cObj.setValue(tSeqId, "feature_positions_beg_seq_id", ii)
tSeqId = ";".join([str(rTup[1]) for rTup in rTupL])
cObj.setValue(tSeqId, "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue(rTupL[0][3], "provenance_source", ii)
cObj.setValue(rTupL[0][4], "assignment_version", ii)
#
ii += 1
# ------------------
# Helix features
for ssType in ["helix", "bend", "turn"]:
myRangeD = self.__ssU.getProtSecStructFeatures(dataContainer, ssType)
# helixRangeD = self.__ssU.getProtHelixFeatures(dataContainer)
for hId, hL in myRangeD.items():
for (asymId, begSeqId, endSeqId, confType, provCode, provVer) in hL:
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(confType, "type", ii)
#
cObj.setValue(str(hId), "feature_id", ii)
cObj.setValue(ssType, "name", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue(provCode, "provenance_source", ii)
cObj.setValue(provVer, "assignment_version", ii)
#
ii += 1
#
# ------------------
# Unassigned SS features
unassignedProvD = self.__ssU.getProtUnassignedSecStructProvenance(dataContainer)
unassignedRangeD = self.__ssU.getProtUnassignedSecStructFeatures(dataContainer)
for asymId, rTupL in unassignedRangeD.items():
if not rTupL:
continue
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("UNASSIGNED_SEC_STRUCT", "type", ii)
#
cObj.setValue(str(1), "feature_id", ii)
cObj.setValue("unassigned secondary structure", "name", ii)
#
cObj.setValue(";".join([str(rTup[0]) for rTup in rTupL]), "feature_positions_beg_seq_id", ii)
cObj.setValue(";".join([str(rTup[1]) for rTup in rTupL]), "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue(unassignedProvD["provenance"], "provenance_source", ii)
cObj.setValue(unassignedProvD["version"], "assignment_version", ii)
#
ii += 1
#
cisPeptideD = self.__ssU.getCisPeptides(dataContainer)
for cId, cL in cisPeptideD.items():
for (asymId, begSeqId, endSeqId, modelId, omegaAngle) in cL:
addPropTupL = []
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("CIS-PEPTIDE", "type", ii)
cObj.setValue(str(cId), "feature_id", ii)
cObj.setValue("cis-peptide", "name", ii)
#
cObj.setValue(begSeqId, "feature_positions_beg_seq_id", ii)
cObj.setValue(endSeqId, "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
tS = "cis-peptide bond in model %d with omega angle %.2f" % (modelId, omegaAngle)
cObj.setValue(tS, "description", ii)
#
addPropTupL.append(("OMEGA_ANGLE", omegaAngle))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
#
#
ii += 1
#
targetSiteD = self.__commonU.getTargetSiteInfo(dataContainer)
ligandSiteD = self.__commonU.getLigandSiteInfo(dataContainer)
for tId, tL in targetSiteD.items():
aD = OrderedDict()
for tD in tL:
aD.setdefault(tD["asymId"], []).append((tD["compId"], tD["seqId"]))
for asymId, aL in aD.items():
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("BINDING_SITE", "type", ii)
cObj.setValue(str(tId), "feature_id", ii)
cObj.setValue("binding_site", "name", ii)
#
cObj.setValue(";".join([tup[0] for tup in aL]), "feature_positions_beg_comp_id", ii)
cObj.setValue(";".join([tup[1] for tup in aL]), "feature_positions_beg_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
if tId in ligandSiteD:
cObj.setValue(ligandSiteD[tId]["description"], "description", ii)
if ligandSiteD[tId]["siteLabel"]:
cObj.setValue(ligandSiteD[tId]["siteLabel"], "name", ii)
#
ii += 1
#
unObsPolyResRngD = self.__commonU.getUnobservedPolymerResidueInfo(dataContainer)
for (modelId, asymId, zeroOccFlag), rTupL in unObsPolyResRngD.items():
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
#
if zeroOccFlag:
cObj.setValue("ZERO_OCCUPANCY_RESIDUE_XYZ", "type", ii)
tS = "All atom coordinates for this residue are reported with zero-occupancy in model %s" % modelId
cObj.setValue(tS, "description", ii)
cObj.setValue("residue coordinates with zero occupancy", "name", ii)
else:
cObj.setValue("UNOBSERVED_RESIDUE_XYZ", "type", ii)
tS = "No coordinates for this residue are reported in model %s" % modelId
cObj.setValue(tS, "description", ii)
cObj.setValue("unmodeled residue", "name", ii)
#
cObj.setValue(str(1), "feature_id", ii)
#
cObj.setValue(";".join([str(rTup[0]) for rTup in rTupL]), "feature_positions_beg_seq_id", ii)
cObj.setValue(";".join([str(rTup[1]) for rTup in rTupL]), "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
ii += 1
unObsPolyAtomRngD = self.__commonU.getUnobservedPolymerAtomInfo(dataContainer)
for (modelId, asymId, zeroOccFlag), rTupL in unObsPolyAtomRngD.items():
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
#
if zeroOccFlag:
cObj.setValue("ZERO_OCCUPANCY_ATOM_XYZ", "type", ii)
tS = "Some atom coordinates in this residue are reported with zero-occupancy in model %s" % modelId
cObj.setValue(tS, "description", ii)
cObj.setValue("atom coordinates with zero occupancy", "name", ii)
else:
cObj.setValue("UNOBSERVED_ATOM_XYZ", "type", ii)
tS = "Some atom coordinates in this residue are not reported in model %s" % modelId
cObj.setValue(tS, "description", ii)
cObj.setValue("partially modeled residue", "name", ii)
#
cObj.setValue(str(1), "feature_id", ii)
#
cObj.setValue(";".join([str(rTup[0]) for rTup in rTupL]), "feature_positions_beg_seq_id", ii)
cObj.setValue(";".join([str(rTup[1]) for rTup in rTupL]), "feature_positions_end_seq_id", ii)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
ii += 1
npbD = self.__commonU.getBoundNonpolymersByInstance(dataContainer)
jj = 1
for asymId, rTupL in npbD.items():
for rTup in rTupL:
addPropTupL = []
if rTup.connectType in ["covalent bond"]:
fType = "HAS_COVALENT_LINKAGE"
fId = "COVALENT_LINKAGE_%d" % jj
elif rTup.connectType in ["metal coordination"]:
fType = "HAS_METAL_COORDINATION_LINKAGE"
fId = "METAL_COORDINATION_LINKAGE_%d" % jj
else:
continue
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(rTup.targetCompId, "comp_id", ii)
cObj.setValue(fId, "feature_id", ii)
cObj.setValue(fType, "type", ii)
#
# ("targetCompId", "connectType", "partnerCompId", "partnerAsymId", "partnerEntityType", "bondDistance", "bondOrder")
cObj.setValue(
";".join(["%s has %s with %s instance %s in model 1" % (rTup.targetCompId, rTup.connectType, rTup.partnerEntityType, rTup.partnerAsymId) for rTup in rTupL]),
"feature_value_details",
ii,
)
# ----
addPropTupL.append(("PARTNER_ASYM_ID", rTup.partnerAsymId))
if rTup.partnerCompId:
addPropTupL.append(("PARTNER_COMP_ID", rTup.partnerCompId))
if rTup.bondDistance:
addPropTupL.append(("PARTNER_BOND_DISTANCE", rTup.bondDistance))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
# ----
cObj.setValue(";".join([rTup.partnerCompId if rTup.partnerCompId else "?" for rTup in rTupL]), "feature_value_comp_id", ii)
cObj.setValue(";".join([rTup.bondDistance if rTup.bondDistance else "?" for rTup in rTupL]), "feature_value_reported", ii)
cObj.setValue(";".join(["?" for rTup in rTupL]), "feature_value_reference", ii)
cObj.setValue(";".join(["?" for rTup in rTupL]), "feature_value_uncertainty_estimate", ii)
cObj.setValue(";".join(["?" for rTup in rTupL]), "feature_value_uncertainty_estimate_type", ii)
# ---
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
ii += 1
jj += 1
# Glycosylation sites
jj = 1
for asymId, rTupL in npbD.items():
if instTypeD[asymId] not in ["polymer"]:
continue
for rTup in rTupL:
addPropTupL = []
if (rTup.connectType in ["covalent bond"]) and (rTup.role is not None) and (rTup.role not in [".", "?"]):
fType = rTup.role.upper() + "_SITE"
fId = "GLYCOSYLATION_SITE_%d" % jj
else:
continue
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(rTup.targetCompId, "comp_id", ii)
cObj.setValue(fId, "feature_id", ii)
cObj.setValue(fType, "type", ii)
#
# ("targetCompId", "connectType", "partnerCompId", "partnerAsymId", "partnerEntityType", "bondDistance", "bondOrder")
cObj.setValue(
";".join(["%s has %s site on %s instance %s in model 1" % (rTup.targetCompId, rTup.role, rTup.partnerEntityType, rTup.partnerAsymId) for rTup in rTupL]),
"feature_value_details",
ii,
)
# ----
addPropTupL.append(("PARTNER_ASYM_ID", rTup.partnerAsymId))
if rTup.partnerCompId:
addPropTupL.append(("PARTNER_COMP_ID", rTup.partnerCompId))
if rTup.bondDistance:
addPropTupL.append(("PARTNER_BOND_DISTANCE", rTup.bondDistance))
cObj.setValue(";".join([str(tup[0]) for tup in addPropTupL]), "additional_properties_name", ii)
cObj.setValue(";".join([str(tup[1]) for tup in addPropTupL]), "additional_properties_values", ii)
# ----
cObj.setValue(";".join([rTup.partnerCompId if rTup.partnerCompId else "?" for rTup in rTupL]), "feature_value_comp_id", ii)
cObj.setValue(";".join([rTup.bondDistance if rTup.bondDistance else "?" for rTup in rTupL]), "feature_value_reported", ii)
cObj.setValue(";".join(["?" for rTup in rTupL]), "feature_value_reference", ii)
cObj.setValue(";".join(["?" for rTup in rTupL]), "feature_value_uncertainty_estimate", ii)
cObj.setValue(";".join(["?" for rTup in rTupL]), "feature_value_uncertainty_estimate_type", ii)
# ---
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
ii += 1
jj += 1
return True
except Exception as e:
logger.exception("%s %s failing with %s", dataContainer.getName(), catName, str(e))
return False
def addProtSecStructInfo(self, dataContainer, catName, **kwargs):
"""DEPRECATED METHOD - UNLINKED in Dictionary
Add category rcsb_prot_sec_struct_info.
"""
try:
# JDWJDW
logger.info("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
# Exit if source categories are missing
if not dataContainer.exists("entry") and not (dataContainer.exists("struct_conf") or dataContainer.exists("struct_sheet_range")):
return False
#
# Create the new target category rcsb_prot_sec_struct_info
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
sD = self.__commonU.getProtSecStructFeaturesAll(dataContainer)
# catName = rcsb_prot_sec_struct_info
cObj = dataContainer.getObj(catName)
#
xObj = dataContainer.getObj("entry")
entryId = xObj.getValue("id", 0)
#
for ii, asymId in enumerate(sD["helixCountD"]):
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(asymId, "label_asym_id", ii)
#
cObj.setValue(sD["helixCountD"][asymId], "helix_count", ii)
cObj.setValue(sD["sheetStrandCountD"][asymId], "beta_strand_count", ii)
cObj.setValue(sD["unassignedCountD"][asymId], "unassigned_count", ii)
#
cObj.setValue(",".join([str(t) for t in sD["helixLengthD"][asymId]]), "helix_length", ii)
cObj.setValue(",".join([str(t) for t in sD["sheetStrandLengthD"][asymId]]), "beta_strand_length", ii)
cObj.setValue(",".join([str(t) for t in sD["unassignedLengthD"][asymId]]), "unassigned_length", ii)
cObj.setValue("%.2f" % (100.0 * sD["helixFracD"][asymId]), "helix_coverage_percent", ii)
cObj.setValue("%.2f" % (100.0 * sD["sheetStrandFracD"][asymId]), "beta_strand_coverage_percent", ii)
cObj.setValue("%.2f" % (100.0 * sD["unassignedFracD"][asymId]), "unassigned_coverage_percent", ii)
cObj.setValue(",".join(sD["sheetSenseD"][asymId]), "beta_sheet_sense", ii)
cObj.setValue(",".join([str(t) for t in sD["sheetFullStrandCountD"][asymId]]), "beta_sheet_strand_count", ii)
cObj.setValue(sD["featureMonomerSequenceD"][asymId], "feature_monomer_sequence", ii)
cObj.setValue(sD["featureSequenceD"][asymId], "feature_sequence", ii)
return True
except Exception as e:
logger.exception("For %s %r failing with %s", dataContainer.getName(), catName, str(e))
return False
def addConnectionDetails(self, dataContainer, catName, **kwargs):
"""Build rcsb_struct_conn category -
Args:
dataContainer (object): mmcif.api.mmcif.api.DataContainer object instance
catName (str): category name
Returns:
bool: True for success or False otherwise
Example:
loop_
_rcsb_struct_conn.ordinal_id
_rcsb_struct_conn.id
_rcsb_struct_conn.conn_type
_rcsb_struct_conn.connect_target_label_comp_id
_rcsb_struct_conn.connect_target_label_asym_id
_rcsb_struct_conn.connect_target_label_seq_id
_rcsb_struct_conn.connect_target_label_atom_id
_rcsb_struct_conn.connect_target_label_alt_id
_rcsb_struct_conn.connect_target_auth_asym_id
_rcsb_struct_conn.connect_target_auth_seq_id
_rcsb_struct_conn.connect_target_symmetry
_rcsb_struct_conn.connect_partner_label_comp_id
_rcsb_struct_conn.connect_partner_label_asym_id
_rcsb_struct_conn.connect_partner_label_seq_id
_rcsb_struct_conn.connect_partner_label_atom_id
_rcsb_struct_conn.connect_partner_label_alt_id
_rcsb_struct_conn.connect_partner_symmetry
_rcsb_struct_conn.details
# - - - - data truncated for brevity - - - -
"""
try:
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
# Exit if source categories are missing
if not dataContainer.exists("entry") and not dataContainer.exists("struct_conn"):
return False
#
# Create the new target category rcsb_struct_conn
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cDL = self.__commonU.getInstanceConnections(dataContainer)
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
#
# catName = rcsb_struct_conn
cObj = dataContainer.getObj(catName)
#
xObj = dataContainer.getObj("entry")
entryId = xObj.getValue("id", 0)
#
for ii, cD in enumerate(cDL):
asymId = cD["connect_target_label_asym_id"]
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId] if asymId in asymAuthIdD else None
cObj.setValue(ii + 1, "ordinal_id", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(entityId, "entity_id", ii)
if authAsymId:
cObj.setValue(authAsymId, "auth_asym_id", ii)
else:
logger.error("Missing mapping for %s asymId %s to authAsymId ", entryId, asymId)
for ky, val in cD.items():
cObj.setValue(val, ky, ii)
#
return True
except Exception as e:
logger.exception("For %s %r failing with %s", dataContainer.getName(), catName, str(e))
return False
def __stripWhiteSpace(self, val):
"""Remove all white space from the input value."""
if val is None:
return val
return self.__wsPattern.sub("", val)
def buildInstanceValidationFeatures(self, dataContainer, catName, **kwargs):
"""Build category rcsb_entity_instance_validation_feature ...
Example:
loop_
_rcsb_entity_instance_validation_feature.ordinal
_rcsb_entity_instance_validation_feature.entry_id
_rcsb_entity_instance_validation_feature.entity_id
_rcsb_entity_instance_validation_feature.asym_id
_rcsb_entity_instance_validation_feature.auth_asym_id
_rcsb_entity_instance_validation_feature.feature_id
_rcsb_entity_instance_validation_feature.type
_rcsb_entity_instance_validation_feature.name
_rcsb_entity_instance_validation_feature.description
_rcsb_entity_instance_validation_feature.annotation_lineage_id
_rcsb_entity_instance_validation_feature.annotation_lineage_name
_rcsb_entity_instance_validation_feature.annotation_lineage_depth
_rcsb_entity_instance_validation_feature.reference_scheme
_rcsb_entity_instance_validation_feature.provenance_source
_rcsb_entity_instance_validation_feature.assignment_version
_rcsb_entity_instance_validation_feature.feature_positions_beg_seq_id
_rcsb_entity_instance_validation_feature.feature_positions_end_seq_id
_rcsb_entity_instance_validation_feature.feature_positions_beg_comp_id
#
_rcsb_entity_instance_validation_feature.feature_value_comp_id
_rcsb_entity_instance_validation_feature.feature_value_reported
_rcsb_entity_instance_validation_feature.feature_value_reference
_rcsb_entity_instance_validation_feature.feature_value_uncertainty_estimate
_rcsb_entity_instance_validation_feature.feature_value_uncertainty_estimate_type
_rcsb_entity_instance_validation_feature.feature_value_details
"""
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
typeMapD = {
"ROTAMER_OUTLIER": "Molprobity rotamer outlier",
"RAMACHANDRAN_OUTLIER": "Molprobity Ramachandran outlier",
"RSRZ_OUTLIER": "Real space R-value Z score > 2",
"RSCC_OUTLIER": "Real space density correlation value < 0.65",
"MOGUL_BOND_OUTLIER": "Mogul bond distance outlier",
"MOGUL_ANGLE_OUTLIER": "Mogul bond angle outlier",
"BOND_OUTLIER": "Molprobity bond distance outlier",
"ANGLE_OUTLIER": "Molprobity bond angle outlier",
}
try:
if catName != "rcsb_entity_instance_validation_feature":
return False
# Exit if source categories are missing
if not dataContainer.exists("entry"):
return False
#
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
# Create the new target category
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cObj = dataContainer.getObj(catName)
ii = cObj.getRowCount()
#
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
#
instanceModelOutlierD = self.__commonU.getInstanceModelOutlierInfo(dataContainer)
#
# ("OutlierValue", "compId, seqId, outlierType, description, reported, reference, uncertaintyValue, uncertaintyType")
#
logger.debug("Length instanceModelOutlierD %d", len(instanceModelOutlierD))
#
for (modelId, asymId, altId, hasSeq), pTupL in instanceModelOutlierD.items():
fTypeL = sorted(set([pTup.outlierType for pTup in pTupL]))
jj = 1
for fType in fTypeL:
if (asymId not in asymIdD) or (asymId not in asymAuthIdD):
continue
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
#
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
#
cObj.setValue(fType, "type", ii)
tN = typeMapD[fType] if fType in typeMapD else fType
cObj.setValue(tN, "name", ii)
#
tFn = "%s_%d" % (fType, jj)
cObj.setValue(tFn, "feature_id", ii)
#
if hasSeq:
descriptionS = tN + " in instance %s (altId %s) model %s" % (asymId, altId, modelId) if altId else tN + " in instance %s model %s" % (asymId, modelId)
cObj.setValue(";".join([pTup.compId for pTup in pTupL if pTup.outlierType == fType]), "feature_positions_beg_comp_id", ii)
cObj.setValue(";".join([str(pTup.seqId) for pTup in pTupL if pTup.outlierType == fType]), "feature_positions_beg_seq_id", ii)
else:
cObj.setValue(pTupL[0].compId, "comp_id", ii)
descriptionS = (
tN + " in %s instance %s (altId %s) model %s" % (pTupL[0].compId, asymId, altId, modelId)
if altId
else tN + " in %s instance %s model %s" % (pTupL[0].compId, asymId, modelId)
)
#
cObj.setValue(";".join([pTup.compId if pTup.compId else "?" for pTup in pTupL if pTup.outlierType == fType]), "feature_value_comp_id", ii)
cObj.setValue(";".join([pTup.description if pTup.description else "?" for pTup in pTupL if pTup.outlierType == fType]), "feature_value_details", ii)
cObj.setValue(";".join([pTup.reported if pTup.reported else "?" for pTup in pTupL if pTup.outlierType == fType]), "feature_value_reported", ii)
cObj.setValue(";".join([pTup.reference if pTup.reference else "?" for pTup in pTupL if pTup.outlierType == fType]), "feature_value_reference", ii)
cObj.setValue(
";".join([pTup.uncertaintyValue if pTup.uncertaintyValue else "?" for pTup in pTupL if pTup.outlierType == fType]),
"feature_value_uncertainty_estimate",
ii,
)
cObj.setValue(
";".join([pTup.uncertaintyType if pTup.uncertaintyType else "?" for pTup in pTupL if pTup.outlierType == fType]),
"feature_value_uncertainty_estimate_type",
ii,
)
#
cObj.setValue("PDB entity", "reference_scheme", ii)
cObj.setValue(descriptionS, "description", ii)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
jj += 1
ii += 1
#
return True
except Exception as e:
logger.exception("For %s %r failing with %s", dataContainer.getName(), catName, str(e))
return False
# --- JDW
def buildInstanceValidationFeatureSummaryPrev(self, dataContainer, catName, **kwargs):
"""Build category rcsb_entity_instance_validation_feature_summary
Example:
loop_
_rcsb_entity_instance_validation_feature_summary.ordinal
_rcsb_entity_instance_validation_feature_summary.entry_id
_rcsb_entity_instance_validation_feature_summary.entity_id
_rcsb_entity_instance_validation_feature_summary.asym_id
_rcsb_entity_instance_validation_feature_summary.auth_asym_id
#validation_
_rcsb_entity_instance_validation_feature_summary.type
_rcsb_entity_instance_validation_feature_summary.count
_rcsb_entity_instance_validation_feature_summary.coverage
# ...
"""
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
try:
if catName != "rcsb_entity_instance_validation_feature_summary":
return False
if not dataContainer.exists("rcsb_entity_instance_validation_feature") and not dataContainer.exists("entry"):
return False
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
#
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
sObj = dataContainer.getObj(catName)
fObj = dataContainer.getObj("rcsb_entity_instance_validation_feature")
#
instIdMapD = self.__commonU.getInstanceIdMap(dataContainer)
instEntityD = self.__commonU.getInstanceEntityMap(dataContainer)
entityPolymerLengthD = self.__commonU.getPolymerEntityLengthsEnumerated(dataContainer)
asymAuthD = self.__commonU.getAsymAuthIdMap(dataContainer)
fCountD = OrderedDict()
fMonomerCountD = OrderedDict()
fInstanceCountD = OrderedDict()
for ii in range(fObj.getRowCount()):
asymId = fObj.getValue("asym_id", ii)
# ---- initialize counts
# fCountD = self.__initializeInstanceValidationFeatureType(dataContainer, asymId, fCountD, countType="set")
# fMonomerCountD = self.__initializeInstanceValidationFeatureType(dataContainer, asymId, fMonomerCountD, countType="list")
# fInstanceCountD = self.__initializeInstanceValidationFeatureType(dataContainer, asymId, fInstanceCountD, countType="list")
# ----
fType = fObj.getValue("type", ii)
fId = fObj.getValue("feature_id", ii)
fCountD.setdefault(asymId, {}).setdefault(fType, set()).add(fId)
#
tbegS = fObj.getValueOrDefault("feature_positions_beg_seq_id", ii, defaultValue=None)
tendS = fObj.getValueOrDefault("feature_positions_end_seq_id", ii, defaultValue=None)
if fObj.hasAttribute("feature_positions_beg_seq_id") and tbegS is not None and fObj.hasAttribute("feature_positions_end_seq_id") and tendS is not None:
begSeqIdL = str(fObj.getValue("feature_positions_beg_seq_id", ii)).split(";")
endSeqIdL = str(fObj.getValue("feature_positions_end_seq_id", ii)).split(";")
monCount = 0
for begSeqId, endSeqId in zip(begSeqIdL, endSeqIdL):
try:
monCount += abs(int(endSeqId) - int(begSeqId) + 1)
except Exception:
logger.warning(
"In %s fType %r fId %r bad sequence range begSeqIdL %r endSeqIdL %r tbegS %r tendS %r",
dataContainer.getName(),
fType,
fId,
begSeqIdL,
endSeqIdL,
tbegS,
tendS,
)
fMonomerCountD.setdefault(asymId, {}).setdefault(fType, []).append(monCount)
elif fObj.hasAttribute("feature_positions_beg_seq_id") and tbegS:
seqIdL = str(fObj.getValue("feature_positions_beg_seq_id", ii)).split(";")
fMonomerCountD.setdefault(asymId, {}).setdefault(fType, []).append(len(seqIdL))
tS = fObj.getValueOrDefault("feature_value_details", ii, defaultValue=None)
if fObj.hasAttribute("feature_value_details") and tS is not None:
dL = str(fObj.getValue("feature_value_details", ii)).split(";")
fInstanceCountD.setdefault(asymId, {}).setdefault(fType, []).append(len(dL))
#
# logger.debug("%s fCountD %r", entryId, fCountD)
#
ii = 0
for asymId, fTypeD in fCountD.items():
entityId = instEntityD[asymId]
authAsymId = asymAuthD[asymId]
for fType, fS in fTypeD.items():
#
sObj.setValue(ii + 1, "ordinal", ii)
sObj.setValue(entryId, "entry_id", ii)
sObj.setValue(entityId, "entity_id", ii)
sObj.setValue(asymId, "asym_id", ii)
if asymId in instIdMapD and "comp_id" in instIdMapD[asymId] and instIdMapD[asymId]["comp_id"]:
sObj.setValue(instIdMapD[asymId]["comp_id"], "comp_id", ii)
sObj.setValue(authAsymId, "auth_asym_id", ii)
sObj.setValue(fType, "type", ii)
fracC = 0.0
#
if asymId in fMonomerCountD and fType in fMonomerCountD[asymId] and fMonomerCountD[asymId][fType]:
fCount = sum(fMonomerCountD[asymId][fType])
if asymId in fMonomerCountD and fType in fMonomerCountD[asymId] and entityId in entityPolymerLengthD:
fracC = float(sum(fMonomerCountD[asymId][fType])) / float(entityPolymerLengthD[entityId])
elif asymId in fInstanceCountD and fType in fInstanceCountD[asymId] and fInstanceCountD[asymId][fType]:
fCount = sum(fInstanceCountD[asymId][fType])
else:
fCount = len(fS)
#
sObj.setValue(fCount, "count", ii)
sObj.setValue(round(fracC, 5), "coverage", ii)
#
ii += 1
except Exception as e:
logger.exception("Failing with %s", str(e))
return True
def __initializeInstanceValidationFeatureType(self, dataContainer, asymId, fCountD, countType="set"):
instTypeD = self.__commonU.getInstanceTypes(dataContainer)
eType = instTypeD[asymId]
eTupL = []
# rcsb_entity_instance_validation_feature_summary.type
if eType == "polymer":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_entity_instance_validation_feature_summary", "type")
elif eType in ["non-polymer", "water"]:
eTupL = self.__dApi.getEnumListWithDetail("rcsb_entity_instance_validation_feature_summary", "type")
elif eType == "branched":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_entity_instance_validation_feature_summary", "type")
else:
logger.error("%r asymId %r eType %r", dataContainer.getName(), asymId, eType)
#
fTypeL = sorted([tup[0] for tup in eTupL])
#
for fType in fTypeL:
if countType == "set":
fCountD.setdefault(asymId, {}).setdefault(fType, set())
else:
fCountD.setdefault(asymId, {}).setdefault(fType, [])
#
return fCountD
# --- JDW
def __getInstanceFeatureTypes(self, eType):
#
vTupL = self.__dApi.getEnumListWithDetail("rcsb_entity_instance_validation_feature_summary", "type")
if eType == "polymer":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_polymer_instance_feature_summary", "type")
elif eType in ["non-polymer", "water"]:
eTupL = self.__dApi.getEnumListWithDetail("rcsb_nonpolymer_instance_feature_summary", "type")
elif eType == "branched":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_branched_instance_feature_summary", "type")
else:
logger.error("Unexpected eType %r -- no features types provided", eType)
eTupL = []
# Distinct elements in the instance specific categories. (remove validation types)
vTypeL = sorted([tup[0] for tup in vTupL])
iTypeL = sorted([tup[0] for tup in eTupL])
fTypeL = sorted(set(iTypeL) - set(vTypeL))
return fTypeL
def __getInstanceValidationFeatureTypes(self, eType):
#
vTupL = self.__dApi.getEnumListWithDetail("rcsb_entity_instance_validation_feature_summary", "type")
if eType == "polymer":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_polymer_instance_feature_summary", "type")
elif eType in ["non-polymer", "water"]:
eTupL = self.__dApi.getEnumListWithDetail("rcsb_nonpolymer_instance_feature_summary", "type")
elif eType == "branched":
eTupL = self.__dApi.getEnumListWithDetail("rcsb_branched_instance_feature_summary", "type")
else:
logger.error("Unexpected eType %r -- no features types provided", eType)
eTupL = []
# Common elements in the instance specific categories.
vTypeL = sorted([tup[0] for tup in vTupL])
iTypeL = sorted([tup[0] for tup in eTupL])
fTypeL = sorted(set(vTypeL).intersection(iTypeL))
return fTypeL
# --- JDW
def buildEntityInstanceFeatureSummary(self, dataContainer, catName, **kwargs):
"""Build category rcsb_entity_instance_feature_summary (UPDATED)
Example:
loop_
_rcsb_entity_instance_feature_summary.ordinal
_rcsb_entity_instance_feature_summary.entry_id
_rcsb_entity_instance_feature_summary.entity_id
_rcsb_entity_instance_feature_summary.asym_id
_rcsb_entity_instance_feature_summary.auth_asym_id
#
_rcsb_entity_instance_feature_summary.type
_rcsb_entity_instance_feature_summary.count
_rcsb_entity_instance_feature_summary.coverage
# ...
"""
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
try:
if catName != "rcsb_entity_instance_feature_summary":
return False
if not dataContainer.exists("rcsb_entity_instance_feature") and not dataContainer.exists("entry"):
return False
if not dataContainer.exists(catName):
logger.debug("building %s with %r", catName, self.__dApi.getAttributeNameList(catName))
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
#
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
sObj = dataContainer.getObj(catName)
fObj = dataContainer.getObj("rcsb_entity_instance_feature")
#
instEntityD = self.__commonU.getInstanceEntityMap(dataContainer)
entityPolymerLengthD = self.__commonU.getPolymerEntityLengthsEnumerated(dataContainer)
# typeList = self.__dApi.getEnumList("rcsb_entity_instance_feature_summary", "type", sortFlag=True)
asymAuthD = self.__commonU.getAsymAuthIdMap(dataContainer)
instIdMapD = self.__commonU.getInstanceIdMap(dataContainer)
instTypeD = self.__commonU.getInstanceTypes(dataContainer)
#
fCountD = OrderedDict()
fValuesD = OrderedDict()
fMonomerCountD = OrderedDict()
for ii in range(fObj.getRowCount()):
asymId = fObj.getValue("asym_id", ii)
# ---- initialize counts
# fCountD = self.__initializeInstanceFeatureType(dataContainer, asymId, fCountD, countType="set")
# fMonomerCountD = self.__initializeInstanceFeatureType(dataContainer, asymId, fMonomerCountD, countType="list")
# ----
fType = fObj.getValue("type", ii)
fId = fObj.getValue("feature_id", ii)
fCountD.setdefault(asymId, {}).setdefault(fType, set()).add(fId)
#
tbegS = fObj.getValueOrDefault("feature_positions_beg_seq_id", ii, defaultValue=None)
tendS = fObj.getValueOrDefault("feature_positions_end_seq_id", ii, defaultValue=None)
if fObj.hasAttribute("feature_positions_beg_seq_id") and tbegS is not None and fObj.hasAttribute("feature_positions_end_seq_id") and tendS is not None:
begSeqIdL = str(fObj.getValue("feature_positions_beg_seq_id", ii)).split(";")
endSeqIdL = str(fObj.getValue("feature_positions_end_seq_id", ii)).split(";")
monCount = 0
for begSeqId, endSeqId in zip(begSeqIdL, endSeqIdL):
try:
monCount += abs(int(endSeqId) - int(begSeqId) + 1)
except Exception:
logger.warning(
"%s fType %r fId %r bad sequence begSeqIdL %r endSeqIdL %r tbegS %r tendS %r",
dataContainer.getName(),
fType,
fId,
begSeqIdL,
endSeqIdL,
tbegS,
tendS,
)
fMonomerCountD.setdefault(asymId, {}).setdefault(fType, []).append(monCount)
elif fObj.hasAttribute("feature_positions_beg_seq_id") and tbegS:
seqIdL = str(fObj.getValue("feature_positions_beg_seq_id", ii)).split(";")
fMonomerCountD.setdefault(asymId, {}).setdefault(fType, []).append(len(seqIdL))
# JDW
elif fObj.hasAttribute("feature_value_reported"):
tValue = fObj.getValueOrDefault("feature_value_reported", ii, defaultValue=None)
if tValue:
try:
tvL = [float(t) for t in tValue.split(";")]
fValuesD.setdefault(asymId, {}).setdefault(fType, []).extend(tvL)
except Exception:
pass
#
logger.debug("%s fCountD %r", entryId, fCountD)
#
ii = 0
for asymId, entityId in instEntityD.items():
eType = instTypeD[asymId]
authAsymId = asymAuthD[asymId]
fTypeL = self.__getInstanceFeatureTypes(eType)
# logger.info("Feature type list %r", fTypeL)
# All entity type specific features
for fType in fTypeL:
sObj.setValue(ii + 1, "ordinal", ii)
sObj.setValue(entryId, "entry_id", ii)
sObj.setValue(entityId, "entity_id", ii)
sObj.setValue(asymId, "asym_id", ii)
sObj.setValue(authAsymId, "auth_asym_id", ii)
# add comp
if asymId in instIdMapD and "comp_id" in instIdMapD[asymId] and instIdMapD[asymId]["comp_id"]:
sObj.setValue(instIdMapD[asymId]["comp_id"], "comp_id", ii)
sObj.setValue(fType, "type", ii)
fracC = 0.0
minL = maxL = 0
if asymId in fMonomerCountD and fType in fMonomerCountD[asymId]:
if fType.startswith("UNOBSERVED"):
fCount = sum(fMonomerCountD[asymId][fType])
else:
fCount = len(fCountD[asymId][fType])
if entityId in entityPolymerLengthD:
fracC = float(sum(fMonomerCountD[asymId][fType])) / float(entityPolymerLengthD[entityId])
if (
fType
in ["CATH", "SCOP", "HELIX_P", "SHEET", "UNASSIGNED_SEC_STRUCT", "UNOBSERVED_RESIDUE_XYZ", "ZERO_OCCUPANCY_RESIDUE_XYZ"]
+ DictMethodSecStructUtils.dsspTypeNames
):
minL = min(fMonomerCountD[asymId][fType])
maxL = max(fMonomerCountD[asymId][fType])
elif asymId in fCountD and fType in fCountD[asymId] and fCountD[asymId][fType]:
fCount = len(fCountD[asymId][fType])
else:
fCount = 0
#
minV = maxV = 0
if asymId in fValuesD and fType in fValuesD[asymId]:
if fType in [
"HAS_COVALENT_LINKAGE",
"HAS_METAL_COORDINATION_LINKAGE",
"N-GLYCOSYLATION_SITE",
"O-GLYCOSYLATION_SITE",
"S-GLYCOSYLATION_SITE",
"C-MANNOSYLATION_SITE",
]:
try:
minV = min(fValuesD[asymId][fType])
maxV = max(fValuesD[asymId][fType])
except Exception:
pass
sObj.setValue(fCount, "count", ii)
sObj.setValue(round(fracC, 5), "coverage", ii)
if minL is not None:
sObj.setValue(minL, "minimum_length", ii)
sObj.setValue(maxL, "maximum_length", ii)
if minV is not None:
sObj.setValue(minV, "minimum_value", ii)
sObj.setValue(maxV, "maximum_value", ii)
#
ii += 1
except Exception as e:
logger.exception("Failing for %s with %s", dataContainer.getName(), str(e))
return True
def buildInstanceValidationFeatureSummary(self, dataContainer, catName, **kwargs):
"""Build category rcsb_entity_instance_validation_feature_summary
Example:
loop_
_rcsb_entity_instance_validation_feature_summary.ordinal
_rcsb_entity_instance_validation_feature_summary.entry_id
_rcsb_entity_instance_validation_feature_summary.entity_id
_rcsb_entity_instance_validation_feature_summary.asym_id
_rcsb_entity_instance_validation_feature_summary.auth_asym_id
_rcsb_entity_instance_validation_feature_summary.type
_rcsb_entity_instance_validation_feature_summary.count
_rcsb_entity_instance_validation_feature_summary.coverage
# ...
"""
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
try:
if catName != "rcsb_entity_instance_validation_feature_summary":
return False
if not dataContainer.exists("rcsb_entity_instance_validation_feature") and not dataContainer.exists("entry"):
return False
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
#
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
sObj = dataContainer.getObj(catName)
fObj = dataContainer.getObj("rcsb_entity_instance_validation_feature")
#
instIdMapD = self.__commonU.getInstanceIdMap(dataContainer)
instEntityD = self.__commonU.getInstanceEntityMap(dataContainer)
entityPolymerLengthD = self.__commonU.getPolymerEntityLengthsEnumerated(dataContainer)
asymAuthD = self.__commonU.getAsymAuthIdMap(dataContainer)
instTypeD = self.__commonU.getInstanceTypes(dataContainer)
fCountD = OrderedDict()
fMonomerCountD = OrderedDict()
fInstanceCountD = OrderedDict()
for ii in range(fObj.getRowCount()):
asymId = fObj.getValue("asym_id", ii)
fType = fObj.getValue("type", ii)
fId = fObj.getValue("feature_id", ii)
fCountD.setdefault(asymId, {}).setdefault(fType, set()).add(fId)
#
tbegS = fObj.getValueOrDefault("feature_positions_beg_seq_id", ii, defaultValue=None)
tendS = fObj.getValueOrDefault("feature_positions_end_seq_id", ii, defaultValue=None)
if fObj.hasAttribute("feature_positions_beg_seq_id") and tbegS is not None and fObj.hasAttribute("feature_positions_end_seq_id") and tendS is not None:
begSeqIdL = str(fObj.getValue("feature_positions_beg_seq_id", ii)).split(";")
endSeqIdL = str(fObj.getValue("feature_positions_end_seq_id", ii)).split(";")
monCount = 0
for begSeqId, endSeqId in zip(begSeqIdL, endSeqIdL):
try:
monCount += abs(int(endSeqId) - int(begSeqId) + 1)
except Exception:
logger.warning(
"In %s fType %r fId %r bad sequence range begSeqIdL %r endSeqIdL %r tbegS %r tendS %r",
dataContainer.getName(),
fType,
fId,
begSeqIdL,
endSeqIdL,
tbegS,
tendS,
)
fMonomerCountD.setdefault(asymId, {}).setdefault(fType, []).append(monCount)
elif fObj.hasAttribute("feature_positions_beg_seq_id") and tbegS:
seqIdL = str(fObj.getValue("feature_positions_beg_seq_id", ii)).split(";")
fMonomerCountD.setdefault(asymId, {}).setdefault(fType, []).append(len(seqIdL))
tS = fObj.getValueOrDefault("feature_value_details", ii, defaultValue=None)
if fObj.hasAttribute("feature_value_details") and tS is not None:
dL = str(fObj.getValue("feature_value_details", ii)).split(";")
fInstanceCountD.setdefault(asymId, {}).setdefault(fType, []).append(len(dL))
#
ii = 0
# Summarize all instances -
for asymId, entityId in instEntityD.items():
eType = instTypeD[asymId]
authAsymId = asymAuthD[asymId]
fTypeL = self.__getInstanceValidationFeatureTypes(eType)
# All entity type specific features
for fType in fTypeL:
#
sObj.setValue(ii + 1, "ordinal", ii)
sObj.setValue(entryId, "entry_id", ii)
sObj.setValue(entityId, "entity_id", ii)
sObj.setValue(asymId, "asym_id", ii)
if asymId in instIdMapD and "comp_id" in instIdMapD[asymId] and instIdMapD[asymId]["comp_id"]:
sObj.setValue(instIdMapD[asymId]["comp_id"], "comp_id", ii)
sObj.setValue(authAsymId, "auth_asym_id", ii)
sObj.setValue(fType, "type", ii)
#
# Sum features with different granularity
#
fracC = 0.0
if asymId in fMonomerCountD and fType in fMonomerCountD[asymId] and fMonomerCountD[asymId][fType]:
fCount = sum(fMonomerCountD[asymId][fType])
if asymId in fMonomerCountD and fType in fMonomerCountD[asymId] and entityId in entityPolymerLengthD:
fracC = float(sum(fMonomerCountD[asymId][fType])) / float(entityPolymerLengthD[entityId])
elif asymId in fInstanceCountD and fType in fInstanceCountD[asymId] and fInstanceCountD[asymId][fType]:
fCount = sum(fInstanceCountD[asymId][fType])
elif asymId in fCountD and fType in fCountD[asymId] and fCountD[asymId][fType]:
fCount = len(fCountD[asymId][fType])
else:
# default zero value
fCount = 0
#
sObj.setValue(fCount, "count", ii)
sObj.setValue(round(fracC, 5), "coverage", ii)
#
ii += 1
except Exception as e:
logger.exception("Failing with %s", str(e))
return True
#
def buildEntityInstanceAnnotations(self, dataContainer, catName, **kwargs):
"""Build category rcsb_entity_instance_annotation ...
Example:
loop_
_rcsb_entity_instance_annotation.ordinal
_rcsb_entity_instance_annotation.entry_id
_rcsb_entity_instance_annotation.entity_id
_rcsb_entity_instance_annotation.asym_id
_rcsb_entity_instance_annotation.auth_asym_id
_rcsb_entity_instance_annotation.annotation_id
_rcsb_entity_instance_annotation.type
_rcsb_entity_instance_annotation.name
_rcsb_entity_instance_annotation.description
_rcsb_entity_instance_annotation.annotation_lineage_id
_rcsb_entity_instance_annotation.annotation_lineage_name
_rcsb_entity_instance_annotation.annotation_lineage_depth
_rcsb_entity_instance_annotation.reference_scheme
_rcsb_entity_instance_annotation.provenance_source
_rcsb_entity_instance_annotation.assignment_version
"""
logger.debug("Starting with %r %r %r", dataContainer.getName(), catName, kwargs)
try:
if catName != "rcsb_entity_instance_annotation":
return False
# Exit if source categories are missing
if not dataContainer.exists("entry"):
return False
#
# Create the new target category
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cObj = dataContainer.getObj(catName)
#
rP = kwargs.get("resourceProvider")
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
# asymIdRangesD = self.__commonU.getInstancePolymerRanges(dataContainer)
# pAuthAsymD = self.__commonU.getPolymerIdMap(dataContainer)
instTypeD = self.__commonU.getInstanceTypes(dataContainer)
ii = cObj.getRowCount()
# ---------------
# Add CATH assignments
cathU = rP.getResource("CathProvider instance") if rP else None
if cathU:
#
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
dL = cathU.getCathResidueRanges(entryId.lower(), authAsymId)
logger.debug("%s asymId %s authAsymId %s dL %r", entryId, asymId, authAsymId, dL)
vL = cathU.getCathVersions(entryId.lower(), authAsymId)
qD = {}
for (cathId, domId, _, _, _) in dL:
if cathId in qD:
continue
qD[cathId] = domId
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("CATH", "type", ii)
#
cObj.setValue(str(cathId), "annotation_id", ii)
# cObj.setValue(str(domId), "annotation_id", ii)
# cObj.setValue(cathId, "name", ii)
cObj.setValue(cathU.getCathName(cathId), "name", ii)
#
cObj.setValue(";".join(cathU.getNameLineage(cathId)), "annotation_lineage_name", ii)
idLinL = cathU.getIdLineage(cathId)
cObj.setValue(";".join(idLinL), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue("CATH", "provenance_source", ii)
cObj.setValue(vL[0], "assignment_version", ii)
#
ii += 1
# ------------
# Add SCOP assignments
scopU = rP.getResource("ScopProvider instance") if rP else None
if scopU:
for asymId, authAsymId in asymAuthIdD.items():
if instTypeD[asymId] not in ["polymer", "branched"]:
continue
entityId = asymIdD[asymId]
dL = scopU.getScopResidueRanges(entryId.lower(), authAsymId)
version = scopU.getScopVersion()
qD = {}
for (sunId, domId, _, _, _, _) in dL:
if sunId in qD:
continue
qD[sunId] = domId
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP", "type", ii)
#
# cObj.setValue(str(sunId), "domain_id", ii)
cObj.setValue(domId, "annotation_id", ii)
cObj.setValue(scopU.getScopName(sunId), "name", ii)
#
tL = [t if t is not None else "" for t in scopU.getNameLineage(sunId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(sunId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue("SCOPe", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# JDW - Add SCOP2 family annotation assignments
scopU = rP.getResource("Scop2Provider instance") if rP else None
if scopU:
version = scopU.getVersion()
for asymId, authAsymId in asymAuthIdD.items():
# JDW
# if instTypeD[asymId] not in ["polymer", "branched"]:
if instTypeD[asymId] not in ["polymer"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = scopU.getFamilyResidueRanges(entryId.upper(), authAsymId)
qD = {}
for (domId, familyId, _, _, _) in dL:
if familyId in qD:
continue
qD[familyId] = domId
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP2", "type", ii)
#
cObj.setValue(domId, "annotation_id", ii)
cObj.setValue(scopU.getName(familyId), "name", ii)
#
tL = [t if t is not None else "" for t in scopU.getNameLineage(familyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(familyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue("SCOP2", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# ------------
# Add SCOP2 superfamily annotation assignments
for asymId, authAsymId in asymAuthIdD.items():
# JDW
# if instTypeD[asymId] not in ["polymer", "branched"]:
if instTypeD[asymId] not in ["polymer"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = scopU.getSuperFamilyResidueRanges(entryId.lower(), authAsymId)
qD = {}
for (domId, superfamilyId, _, _, _) in dL:
if superfamilyId in qD:
continue
qD[superfamilyId] = domId
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP2", "type", ii)
#
cObj.setValue(domId, "annotation_id", ii)
cObj.setValue(scopU.getName(superfamilyId), "name", ii)
#
tL = [t if t is not None else "" for t in scopU.getNameLineage(superfamilyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(superfamilyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue("SCOP2", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# ----
# Add SCOP2B superfamily annotation assignments
for asymId, authAsymId in asymAuthIdD.items():
# JDW
# if instTypeD[asymId] not in ["polymer", "branched"]:
if instTypeD[asymId] not in ["polymer"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = scopU.getSuperFamilyResidueRanges2B(entryId.lower(), authAsymId)
qD = {}
for (domId, superfamilyId, _, _, _) in dL:
if superfamilyId in qD:
qD[superfamilyId] = domId
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("SCOP2", "type", ii)
#
cObj.setValue(domId, "annotation_id", ii)
cObj.setValue(scopU.getName(superfamilyId), "name", ii)
#
tL = [t if t is not None else "" for t in scopU.getNameLineage(superfamilyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = scopU.getIdLineage(superfamilyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue("SCOP2B", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# ------------
# ECOD annotation assignments -
ecodU = rP.getResource("EcodProvider instance") if rP else None
if ecodU:
version = ecodU.getVersion()
for asymId, authAsymId in asymAuthIdD.items():
# JDW FIX
# if instTypeD[asymId] not in ["polymer", "branched"]:
if instTypeD[asymId] not in ["polymer"]:
continue
entityId = asymIdD[asymId]
# Family mappings
dL = ecodU.getFamilyResidueRanges(entryId.lower(), authAsymId)
qD = {}
for (domId, familyId, _, _, _) in dL:
if familyId in qD:
continue
qD[familyId] = domId
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue("ECOD", "type", ii)
#
fName = ecodU.getName(familyId)[3:]
cObj.setValue(domId, "annotation_id", ii)
cObj.setValue(fName, "name", ii)
#
tL = [t if t is not None else "" for t in ecodU.getNameLineage(familyId)]
cObj.setValue(";".join(tL), "annotation_lineage_name", ii)
idLinL = ecodU.getIdLineage(familyId)
cObj.setValue(";".join([str(t) for t in idLinL]), "annotation_lineage_id", ii)
cObj.setValue(";".join([str(jj) for jj in range(1, len(idLinL) + 1)]), "annotation_lineage_depth", ii)
#
cObj.setValue("ECOD", "provenance_source", ii)
cObj.setValue(version, "assignment_version", ii)
#
ii += 1
# ------------
# Add covalent attachment property
npbD = self.__commonU.getBoundNonpolymersByInstance(dataContainer)
jj = 1
for asymId, rTupL in npbD.items():
for rTup in rTupL:
if rTup.connectType in ["covalent bond"]:
fType = "HAS_COVALENT_LINKAGE"
fId = "COVALENT_LINKAGE_%d" % jj
elif rTup.connectType in ["metal coordination"]:
fType = "HAS_METAL_COORDINATION_LINKAGE"
fId = "METAL_COORDINATION_LINKAGE_%d" % jj
else:
continue
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(rTup.targetCompId, "comp_id", ii)
cObj.setValue(fId, "annotation_id", ii)
cObj.setValue(fType, "type", ii)
#
# ("targetCompId", "connectType", "partnerCompId", "partnerAsymId", "partnerEntityType", "bondDistance", "bondOrder")
cObj.setValue(
"%s has %s with %s instance %s in model 1" % (rTup.targetCompId, rTup.connectType, rTup.partnerEntityType, rTup.partnerAsymId),
"description",
ii,
)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
ii += 1
jj += 1
#
# Glycosylation features
jj = 1
for asymId, rTupL in npbD.items():
if instTypeD[asymId] not in ["polymer"]:
continue
for rTup in rTupL:
if (rTup.connectType in ["covalent bond"]) and (rTup.role is not None) and (rTup.role not in [".", "?"]):
fType = rTup.role.upper() + "_SITE"
fId = "GLYCOSYLATION_SITE_%d" % jj
else:
continue
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(rTup.targetCompId, "comp_id", ii)
cObj.setValue(fId, "annotation_id", ii)
cObj.setValue(fType, "type", ii)
#
# ("targetCompId", "connectType", "partnerCompId", "partnerAsymId", "partnerEntityType", "bondDistance", "bondOrder")
cObj.setValue(
"%s has %s site on %s instance %s in model 1" % (rTup.targetCompId, rTup.role, rTup.partnerEntityType, rTup.partnerAsymId),
"description",
ii,
)
cObj.setValue("PDB", "provenance_source", ii)
cObj.setValue("V1.0", "assignment_version", ii)
#
ii += 1
jj += 1
return True
except Exception as e:
logger.exception("%s %s failing with %s", dataContainer.getName(), catName, str(e))
return False
def buildInstanceValidationScores(self, dataContainer, catName, **kwargs):
"""Build category rcsb_nonpolymer_instance_validation_score ...
Example:
loop_
_rcsb_nonpolymer_instance_validation_score.ordinal
_rcsb_nonpolymer_instance_validation_score.entry_id
_rcsb_nonpolymer_instance_validation_score.entity_id
_rcsb_nonpolymer_instance_validation_score.asym_id
_rcsb_nonpolymer_instance_validation_score.auth_asym_id
_rcsb_nonpolymer_instance_validation_score.comp_id
_rcsb_nonpolymer_instance_validation_score.alt_id
_rcsb_nonpolymer_instance_validation_score.model_id
_rcsb_nonpolymer_instance_validation_score.type
_rcsb_nonpolymer_instance_validation_score.mogul_angles_RMSZ
_rcsb_nonpolymer_instance_validation_score.mogul_bonds_RMSZ
_rcsb_nonpolymer_instance_validation_score.RSR
_rcsb_nonpolymer_instance_validation_score.RSCC
_rcsb_nonpolymer_instance_validation_score.intermolecular_clashes
_rcsb_nonpolymer_instance_validation_score.mogul_bond_outliers
_rcsb_nonpolymer_instance_validation_score.mogul_angle_outliers
_rcsb_nonpolymer_instance_validation_score.stereo_outliers
_rcsb_nonpolymer_instance_validation_score.completeness
_rcsb_nonpolymer_instance_validation_score.score_model_fit
_rcsb_nonpolymer_instance_validation_score.score_model_geometry
_rcsb_nonpolymer_instance_validation_score.ranking_model_fit
_rcsb_nonpolymer_instance_validation_score.ranking_model_geometry
_rcsb_nonpolymer_instance_validation_score.is_subject_of_investigation
_rcsb_nonpolymer_instance_validation_score.is_best_instance
1 6TTM 2 B A PEG A 1 RCSB_LIGAND_QUALITY_SCORE_2021 0.76 0.64 0.154 0.914 0 0 0 0 1.0000 -0.3579 -0.6297 0.5259 0.6292 N N
2 6TTM 2 B A PEG B 1 RCSB_LIGAND_QUALITY_SCORE_2021 0.97 0.68 0.154 0.914 1 0 0 0 1.0000 -0.3579 -0.4587 0.5259 0.5669 N Y
3 6TTM 3 C A HYO . 1 RCSB_LIGAND_QUALITY_SCORE_2021 2.18 4.96 0.108 0.947 0 14 9 0 1.0000 -0.9789 3.1116 0.7676 0.0215 Y Y
4 6TTM 4 D A NI . 1 RCSB_LIGAND_QUALITY_SCORE_2021 ? ? 0.096 0.999 0 0 0 0 1.0000 -1.4779 ? 0.9474 ? N Y
5 6TTM 5 E A OGA . 1 RCSB_LIGAND_QUALITY_SCORE_2021 1.87 3.23 0.104 0.976 0 2 1 0 1.0000 -1.2359 1.7925 0.8690 0.0703 Y Y
6 6TTM 6 F A EDO . 1 RCSB_LIGAND_QUALITY_SCORE_2021 0.32 0.8 0.097 0.941 0 0 0 0 1.0000 -1.0195 -0.8324 0.7842 0.7146 N N
7 6TTM 6 G A EDO . 1 RCSB_LIGAND_QUALITY_SCORE_2021 0.73 0.61 0.252 0.797 0 0 0 0 1.0000 1.3278 -0.6697 0.1356 0.6463 N Y
8 6TTM 7 H A SR . 1 RCSB_LIGAND_QUALITY_SCORE_2021 ? ? 0.143 1.0 0 0 0 0 1.0000 -1.1131 ? 0.8223 ? N Y
9 6TTM 8 I A UNX . 1 RCSB_LIGAND_QUALITY_SCORE_2021 ? ? 0.321 0.94 0 0 0 0 1.0000 0.7640 ? 0.2225 ? N N
10 6TTM 8 J A UNX . 1 RCSB_LIGAND_QUALITY_SCORE_2021 ? ? 0.611 0.922 0 0 0 0 1.0000 3.2028 ? 0.0251 ? N Y
#
#
"""
logger.debug("Starting with %s %r %r", dataContainer.getName(), catName, kwargs)
startTime = time.time()
try:
if catName != "rcsb_nonpolymer_instance_validation_score":
return False
if not dataContainer.exists("entry"):
return False
if not dataContainer.exists("exptl"):
return False
#
if not self.__rlsP or not self.__niP:
return False
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
# ---
xObj = dataContainer.getObj("exptl")
methodL = xObj.getAttributeValueList("method")
_, expMethod = self.__commonU.filterExperimentalMethod(methodL)
# ---
# Create the new target category
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cObj = dataContainer.getObj(catName)
ii = cObj.getRowCount()
#
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
#
instanceModelValidationD = self.__commonU.getInstanceNonpolymerValidationInfo(dataContainer)
#
# NonpolymerValidationFields = ("rsr", "rscc", "mogul_bonds_rmsz", "mogul_angles_rmsz")
#
logger.debug("Length instanceModelValidationD %d", len(instanceModelValidationD))
#
ccTargets = self.__commonU.getTargetComponents(dataContainer)
#
meanD, stdD, loadingD = self.__rlsP.getParameterStatistics()
excludeList = self.__rlsP.getLigandExcludeList()
rankD = {}
scoreD = {}
# -- Get existing interactions or calculate on the fly
if self.__niP.hasEntry(entryId):
ligandAtomCountD = self.__niP.getAtomCounts(entryId)
ligandHydrogenAtomCountD = self.__niP.getHydrogenAtomCounts(entryId)
intIsBoundD = self.__niP.getLigandNeighborBoundState(entryId)
# occupancySumD = self.__niP.getInstanceOccupancySumD(entryId)
else:
ligandAtomCountD = self.__commonU.getLigandAtomCountD(dataContainer)
ligandHydrogenAtomCountD = self.__commonU.getLigandHydrogenAtomCountD(dataContainer)
intIsBoundD = self.__commonU.getLigandNeighborBoundState(dataContainer)
occupancySumD = self.__commonU.getInstanceOccupancySumD(dataContainer)
# logger.info("%r occupancySumD %r", entryId, occupancySumD)
# --
# calculate scores and ranks and find best ranking
for (modelId, asymId, altId, compId), vTup in instanceModelValidationD.items():
if (asymId not in asymIdD) or (asymId not in asymAuthIdD) or (modelId not in ["1"]):
continue
isBound = intIsBoundD[asymId] if asymId in intIsBoundD else False
numHeavyAtoms = self.__ccP.getAtomCountHeavy(compId)
numAtoms = self.__ccP.getAtomCount(compId)
numReportedAtoms = 0
numReportedHydrogenAtoms = 0
occupancySum = 0.0
if not numHeavyAtoms:
continue
try:
if altId:
numReportedAtoms = ligandAtomCountD[asymId][altId] + (ligandAtomCountD[asymId]["FL"] if "FL" in ligandAtomCountD[asymId] else 0)
else:
numReportedAtoms = ligandAtomCountD[asymId]["FL"]
except Exception as e:
logger.warning("Missing ligand atom count for entry %s asymId %s altId %r with %s", entryId, asymId, altId, str(e))
try:
if altId:
numReportedHydrogenAtoms = ligandHydrogenAtomCountD[asymId][altId] + (ligandHydrogenAtomCountD[asymId]["FL"] if "FL" in ligandHydrogenAtomCountD[asymId] else 0)
else:
numReportedHydrogenAtoms = ligandHydrogenAtomCountD[asymId]["FL"]
except Exception:
pass
try:
if altId:
occupancySum = occupancySumD[asymId][altId] + (occupancySumD[asymId]["FL"] if "FL" in occupancySumD[asymId] else 0)
else:
occupancySum = occupancySumD[asymId]["FL"]
except Exception as e:
logger.warning("Missing occupancy for entry %s asymId %s altId %r with %s", entryId, asymId, altId, str(e))
#
avgHeavyOccupancy = round(occupancySum / float(numHeavyAtoms), 4)
completeness = self.__calculateModeledCompleteness(
entryId, asymId, compId, altId, isBound, ligandAtomCountD, numReportedAtoms, numReportedHydrogenAtoms, numHeavyAtoms, numAtoms, expMethod
)
fitScore, fitRanking, completeness = self.__calculateFitScore(vTup.rsr, vTup.rscc, meanD, stdD, loadingD, completeness)
geoScore, geoRanking = self.__calculateGeometryScore(vTup.mogul_bonds_rmsz, vTup.mogul_angles_rmsz, meanD, stdD, loadingD)
#
rankD[compId] = (max(fitRanking, rankD[compId][0]), asymId, altId) if compId in rankD else (fitRanking, asymId, altId)
scoreD[(modelId, asymId, altId, compId)] = (fitScore, fitRanking, geoScore, geoRanking, numReportedAtoms, completeness, avgHeavyOccupancy)
#
for (modelId, asymId, altId, compId), vTup in instanceModelValidationD.items():
if (modelId, asymId, altId, compId) not in scoreD:
continue
#
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
#
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(modelId, "model_id", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(altId if altId else ".", "alt_id", ii)
cObj.setValue(compId, "comp_id", ii)
cObj.setValue("RCSB_LIGAND_QUALITY_SCORE_2021", "type", ii)
#
cObj.setValue(vTup.rsr, "RSR", ii)
cObj.setValue(vTup.rscc, "RSCC", ii)
cObj.setValue(vTup.mogul_angles_rmsz, "mogul_angles_RMSZ", ii)
cObj.setValue(vTup.mogul_bonds_rmsz, "mogul_bonds_RMSZ", ii)
#
cObj.setValue(vTup.mogul_bond_outliers, "mogul_bond_outliers", ii)
cObj.setValue(vTup.mogul_angle_outliers, "mogul_angle_outliers", ii)
cObj.setValue(vTup.stereo_outliers, "stereo_outliers", ii)
#
sTup = scoreD[(modelId, asymId, altId, compId)]
cObj.setValue(vTup.intermolecular_clashes if vTup.intermolecular_clashes else 0, "intermolecular_clashes", ii)
#
cObj.setValue("%.4f" % sTup[6], "average_occupancy", ii)
cObj.setValue("%.4f" % sTup[5], "completeness", ii)
cObj.setValue("%.4f" % sTup[0] if sTup[0] else None, "score_model_fit", ii)
cObj.setValue("%.4f" % sTup[1] if sTup[1] else None, "ranking_model_fit", ii)
cObj.setValue("%.4f" % sTup[2] if sTup[2] else None, "score_model_geometry", ii)
cObj.setValue("%.4f" % sTup[3] if sTup[3] else None, "ranking_model_geometry", ii)
isBest = "Y" if (rankD[compId][1] == asymId and rankD[compId][2] == altId) else "N"
cObj.setValue(isBest, "is_best_instance", ii)
#
isTarget = "N"
isTargetProv = None
if compId in ccTargets:
isTarget = "Y"
isTargetProv = "Author"
elif compId in excludeList:
isTarget = "N"
elif self.__ccP.getFormulaWeight(compId) and self.__ccP.getFormulaWeight(compId) > 150.0:
isTarget = "Y"
isTargetProv = "RCSB"
cObj.setValue(isTarget, "is_subject_of_investigation", ii)
if isTarget == "Y":
cObj.setValue(isTargetProv, "is_subject_of_investigation_provenance", ii)
#
ii += 1
#
endTime = time.time()
logger.debug("Completed at %s (%.4f seconds)", time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return True
except Exception as e:
logger.exception("For %s %r failing with %s", dataContainer.getName(), catName, str(e))
return False
def __calculateModeledCompleteness(self, entryId, asymId, compId, altId, isBound, ligandAtomCountD, numReportedAtoms, numReportedHydrogenAtoms, numHeavyAtoms, numAtoms, expMethod):
# Ignore a single missing leaving atom if we are bound
# Always ignore hydrogens for X-ray methods
numReportedHeavyAtoms = numReportedAtoms - numReportedHydrogenAtoms
if numReportedAtoms > numHeavyAtoms and expMethod != "X-ray":
# Has hydrogens
completeness = 1.0 if isBound and (numAtoms - numReportedAtoms) == 1 else (float(numReportedAtoms) / float(numAtoms))
else:
completeness = 1.0 if isBound and (numHeavyAtoms - numReportedHeavyAtoms) == 1 else (float(numReportedHeavyAtoms) / float(numHeavyAtoms))
#
if completeness > 1.2:
logger.debug("%s %s ligandAtomCountD %r", entryId, asymId, ligandAtomCountD[asymId])
logger.debug(
"%s asymId %s compId %s altId %r numHeavyAtoms %d numAtoms %d reported %.3f completeness %0.3f",
entryId,
asymId,
compId,
altId,
numHeavyAtoms,
numAtoms,
numReportedAtoms,
completeness,
)
#
if completeness > 1.0:
completeness = 1.0
#
return completeness
def __calculateFitScore(self, rsr, rscc, meanD, stdD, loadingD, completeness):
fitScore = None
fitRanking = 0.0
try:
if rsr and rscc:
if completeness < 1.0:
rsr = rsr + 0.08235 * (1.0 - completeness)
rscc = rscc - 0.09652 * (1.0 - completeness)
fitScore = ((rsr - meanD["rsr"]) / stdD["rsr"]) * loadingD["rsr"] + ((rscc - meanD["rscc"]) / stdD["rscc"]) * loadingD["rscc"]
fitRanking = self.__rlsP.getFitScoreRanking(fitScore)
except Exception as e:
logger.exception("Failing for rsr %r rscc %r with %s", rsr, rscc, str(e))
return fitScore, fitRanking, completeness
def __calculateGeometryScore(self, bondsRmsZ, anglesRmsZ, meanD, stdD, loadingD):
geoScore = None
geoRanking = 0.0
try:
if bondsRmsZ and anglesRmsZ:
geoScore = ((bondsRmsZ - meanD["mogul_bonds_rmsz"]) / stdD["mogul_bonds_rmsz"]) * loadingD["mogul_bonds_rmsz"] + (
(anglesRmsZ - meanD["mogul_angles_rmsz"]) / stdD["mogul_angles_rmsz"]
) * loadingD["mogul_angles_rmsz"]
geoRanking = self.__rlsP.getGeometryScoreRanking(geoScore)
except Exception as e:
logger.exception("Failing for bondsRmsZ %r anglesRmsZ %r with %r", bondsRmsZ, anglesRmsZ, str(e))
return geoScore, geoRanking
def buildInstanceTargetNeighbors(self, dataContainer, catName, **kwargs):
"""Build category rcsb_target_neighbors ...
Example:
"""
logger.debug("Starting with %s %r %r", dataContainer.getName(), catName, kwargs)
startTime = time.time()
try:
if catName != "rcsb_target_neighbors":
return False
if not dataContainer.exists("entry"):
return False
#
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
# Create the new target category
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cObj = dataContainer.getObj(catName)
ii = cObj.getRowCount()
#
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
# -- Get existing interactions or calculate on the fly
if self.__niP.hasEntry(entryId):
ligandIndexD = self.__niP.getLigandNeighborIndex(entryId)
nearestNeighborL = self.__niP.getNearestNeighborList(entryId)
else:
ligandIndexD = self.__commonU.getLigandNeighborIndex(dataContainer)
nearestNeighborL = self.__commonU.getNearestNeighborList(dataContainer)
#
logger.debug("%s (%d) ligandIndexD %r", entryId, len(nearestNeighborL), ligandIndexD)
#
for asymId, nD in ligandIndexD.items():
for (partnerAsymId, partnerAuthSeqId), nIndex in nD.items():
logger.debug("%s pAsym %r pAuthSeqId %r nIndex %d", entryId, partnerAsymId, partnerAuthSeqId, nIndex)
#
neighbor = nearestNeighborL[nIndex]
# neighbor = intNeighborD[asymId][(partnerEntityId, partnerAsymId, pConnectType)][0]
#
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
#
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(neighbor.ligandModelId, "model_id", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
#
cObj.setValue(neighbor.ligandAtomId, "atom_id", ii)
cObj.setValue(neighbor.ligandAltId if neighbor.ligandAltId and neighbor.ligandAltId not in ["?"] else ".", "alt_id", ii)
cObj.setValue(neighbor.ligandCompId, "comp_id", ii)
#
cObj.setValue(neighbor.partnerModelId, "target_model_id", ii)
cObj.setValue(neighbor.partnerEntityId, "target_entity_id", ii)
cObj.setValue(neighbor.partnerAsymId, "target_asym_id", ii)
cObj.setValue(neighbor.partnerCompId, "target_comp_id", ii)
cObj.setValue(neighbor.partnerSeqId, "target_seq_id", ii)
cObj.setValue(neighbor.partnerAuthSeqId, "target_auth_seq_id", ii)
cObj.setValue(neighbor.partnerAtomId, "target_atom_id", ii)
cObj.setValue("N" if neighbor.connectType == "non-bonded" else "Y", "target_is_bound", ii)
cObj.setValue("%.3f" % neighbor.distance, "distance", ii)
# ----
ii += 1
#
endTime = time.time()
logger.debug("Completed at %s (%.4f seconds)", time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return True
except Exception as e:
logger.exception("For %s %r failing with %s", dataContainer.getName(), catName, str(e))
return False
def buildInstanceLigandNeighbors(self, dataContainer, catName, **kwargs):
"""Build category rcsb_target_neighbors ...
Example:
"""
logger.debug("Starting with %s %r %r", dataContainer.getName(), catName, kwargs)
startTime = time.time()
try:
if catName != "rcsb_ligand_neighbors":
return False
if not dataContainer.exists("entry"):
return False
#
eObj = dataContainer.getObj("entry")
entryId = eObj.getValue("id", 0)
#
# Create the new target category
if not dataContainer.exists(catName):
dataContainer.append(DataCategory(catName, attributeNameList=self.__dApi.getAttributeNameList(catName)))
cObj = dataContainer.getObj(catName)
ii = cObj.getRowCount()
#
asymIdD = self.__commonU.getInstanceEntityMap(dataContainer)
asymAuthIdD = self.__commonU.getAsymAuthIdMap(dataContainer)
# -- Get existing interactions or calculate on the fly
#
if self.__niP.hasEntry(entryId):
targetIndexD = self.__niP.getTargetNeighborIndex(entryId)
nearestNeighborL = self.__niP.getNearestNeighborList(entryId)
else:
targetIndexD = self.__commonU.getTargetNeighborIndex(dataContainer)
nearestNeighborL = self.__commonU.getNearestNeighborList(dataContainer)
#
logger.debug("%s (%d) targetIndexD %r", entryId, len(nearestNeighborL), targetIndexD)
#
for (asymId, authSeqId), nD in targetIndexD.items():
for ligandAsymId, nIndex in nD.items():
logger.debug("%s asymId %s authSeqId %s ligandAsym %rnIndex %d", entryId, asymId, authSeqId, ligandAsymId, nIndex)
#
neighbor = nearestNeighborL[nIndex]
#
entityId = asymIdD[asymId]
authAsymId = asymAuthIdD[asymId]
#
cObj.setValue(ii + 1, "ordinal", ii)
cObj.setValue(neighbor.ligandModelId, "model_id", ii)
cObj.setValue(entryId, "entry_id", ii)
cObj.setValue(entityId, "entity_id", ii)
cObj.setValue(asymId, "asym_id", ii)
cObj.setValue(authAsymId, "auth_asym_id", ii)
cObj.setValue(neighbor.partnerCompId, "comp_id", ii)
#
cObj.setValue(neighbor.partnerSeqId, "seq_id", ii)
cObj.setValue(neighbor.partnerAuthSeqId, "auth_seq_id", ii)
cObj.setValue(neighbor.partnerAtomId, "atom_id", ii)
cObj.setValue(neighbor.partnerAltId if neighbor.partnerAltId and neighbor.partnerAltId not in ["?"] else ".", "alt_id", ii)
#
cObj.setValue(neighbor.ligandModelId, "ligand_model_id", ii)
cObj.setValue(asymIdD[neighbor.ligandAsymId], "ligand_entity_id", ii)
cObj.setValue(neighbor.ligandAsymId, "ligand_asym_id", ii)
cObj.setValue(neighbor.ligandCompId, "ligand_comp_id", ii)
cObj.setValue(neighbor.ligandAtomId, "ligand_atom_id", ii)
cObj.setValue(neighbor.ligandAltId, "ligand_alt_id", ii)
cObj.setValue(neighbor.ligandAltId if neighbor.ligandAltId and neighbor.ligandAltId not in ["?"] else ".", "ligand_alt_id", ii)
cObj.setValue("N" if neighbor.connectType == "non-bonded" else "Y", "ligand_is_bound", ii)
cObj.setValue("%.3f" % neighbor.distance, "distance", ii)
# ----
ii += 1
#
endTime = time.time()
logger.debug("Completed at %s (%.4f seconds)", time.strftime("%Y %m %d %H:%M:%S", time.localtime()), endTime - startTime)
return True
except Exception as e:
logger.exception("For %s %r failing with %s", dataContainer.getName(), catName, str(e))
return False
| 56.474068
| 184
| 0.543536
| 13,074
| 139,378
| 5.589873
| 0.065473
| 0.079637
| 0.07337
| 0.047727
| 0.785077
| 0.751745
| 0.712091
| 0.670411
| 0.650995
| 0.632618
| 0
| 0.009702
| 0.359576
| 139,378
| 2,467
| 185
| 56.49696
| 0.809043
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| 0.703576
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| 0.00346
| 0.142303
| 0.05038
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| 1
| 0.012687
| false
| 0.00173
| 0.00346
| 0
| 0.047866
| 0
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| null | 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9e246f8197a11b73a278225e329244b30642e5a1
| 196
|
py
|
Python
|
ch04/return.none.py
|
kxen42/Learn-Python-Programming-Third-Edition
|
851ddc5e6094fadd44f31a9ad1d3876456b04372
|
[
"MIT"
] | 19
|
2021-11-05T22:54:09.000Z
|
2022-03-29T15:03:47.000Z
|
ch04/return.none.py
|
kxen42/Learn-Python-Programming-Third-Edition
|
851ddc5e6094fadd44f31a9ad1d3876456b04372
|
[
"MIT"
] | null | null | null |
ch04/return.none.py
|
kxen42/Learn-Python-Programming-Third-Edition
|
851ddc5e6094fadd44f31a9ad1d3876456b04372
|
[
"MIT"
] | 26
|
2021-11-12T17:04:50.000Z
|
2022-03-29T01:10:35.000Z
|
# return.none.py
def func():
pass
func() # the return of this call won't be collected. It's lost.
a = func() # the return of this one instead is collected into `a`
print(a) # prints: None
| 24.5
| 66
| 0.663265
| 35
| 196
| 3.714286
| 0.685714
| 0.107692
| 0.2
| 0.230769
| 0.292308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.219388
| 196
| 7
| 67
| 28
| 0.849673
| 0.688776
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0.2
| 0
| 0
| 0.2
| 0.2
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
f508880d35de4e5c61d56d0000d4001cccea0293
| 163
|
py
|
Python
|
server/controllers/main.py
|
eruixma/trading-app
|
3db3bbd27fdc405b9ecb41d9e68330899a3dcc6a
|
[
"BSD-2-Clause"
] | 2
|
2019-03-27T04:46:29.000Z
|
2019-10-10T13:03:24.000Z
|
server/controllers/main.py
|
eruixma/trading-app
|
3db3bbd27fdc405b9ecb41d9e68330899a3dcc6a
|
[
"BSD-2-Clause"
] | 1
|
2021-06-01T23:31:21.000Z
|
2021-06-01T23:31:21.000Z
|
server/controllers/main.py
|
eruixma/trading-app
|
3db3bbd27fdc405b9ecb41d9e68330899a3dcc6a
|
[
"BSD-2-Clause"
] | 1
|
2021-08-19T03:09:05.000Z
|
2021-08-19T03:09:05.000Z
|
from flask import Blueprint, current_app
main = Blueprint('main', __name__)
@main.route('/')
def home():
return current_app.send_static_file('index.html')
| 16.3
| 53
| 0.723926
| 22
| 163
| 5
| 0.772727
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134969
| 163
| 9
| 54
| 18.111111
| 0.780142
| 0
| 0
| 0
| 0
| 0
| 0.092593
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.6
| 0.4
| 1
| 0
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 1
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
f523394a40a39dc77c57c643a75603c33eb11af0
| 176
|
py
|
Python
|
lib/models/backbones/efficientdet/__init__.py
|
shachargluska/centerpose
|
01c2c8bfa9d3ee91807f2ffdcc48728d104265bd
|
[
"MIT"
] | 245
|
2019-11-29T02:55:25.000Z
|
2022-03-30T07:30:18.000Z
|
lib/models/backbones/efficientdet/__init__.py
|
shachargluska/centerpose
|
01c2c8bfa9d3ee91807f2ffdcc48728d104265bd
|
[
"MIT"
] | 24
|
2019-11-29T10:05:00.000Z
|
2022-03-30T07:16:06.000Z
|
lib/models/backbones/efficientdet/__init__.py
|
FishLiuabc/centerpose
|
555d753cd82693476f91f78c53aa4147f5a83015
|
[
"MIT"
] | 45
|
2019-11-29T05:12:02.000Z
|
2022-03-21T02:20:36.000Z
|
from .efficientdet import EfficientDet
def get_efficientdet(num_layers, cfg):
model = EfficientDet(intermediate_channels=cfg.MODEL.INTERMEDIATE_CHANNEL)
return model
| 25.142857
| 78
| 0.8125
| 20
| 176
| 6.95
| 0.65
| 0.115108
| 0
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| 0
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| 0.125
| 176
| 6
| 79
| 29.333333
| 0.902597
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| 1
| 0
|
0
| 4
|
f52fef7331b7922effcc0ce7dc2004ff0e5e1b57
| 149
|
py
|
Python
|
src/pygame_utils/sprite/gamecomponent.py
|
MarronEyes/pygame_utils
|
27a1f1328533d04c20ccb95208d44fda3be81a09
|
[
"MIT"
] | null | null | null |
src/pygame_utils/sprite/gamecomponent.py
|
MarronEyes/pygame_utils
|
27a1f1328533d04c20ccb95208d44fda3be81a09
|
[
"MIT"
] | null | null | null |
src/pygame_utils/sprite/gamecomponent.py
|
MarronEyes/pygame_utils
|
27a1f1328533d04c20ccb95208d44fda3be81a09
|
[
"MIT"
] | null | null | null |
import pygame
from graphics.component import Component
class GameComponent(Component):
def __init__(self) -> None:
super().__init__()
| 16.555556
| 40
| 0.718121
| 16
| 149
| 6.1875
| 0.75
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| 0.187919
| 149
| 8
| 41
| 18.625
| 0.818182
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| 1
| 0.2
| false
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| null | 0
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| 1
| 0
| 1
| 0
|
0
| 4
|
f566d3437e302ac56089e454a2ea9560ed781683
| 14,376
|
py
|
Python
|
dttpy/dttdata.py
|
neouniverse/dttpy
|
c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7
|
[
"MIT"
] | null | null | null |
dttpy/dttdata.py
|
neouniverse/dttpy
|
c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7
|
[
"MIT"
] | null | null | null |
dttpy/dttdata.py
|
neouniverse/dttpy
|
c5ff8870d796d84b39c4e6f82ec4eefe523cc3e7
|
[
"MIT"
] | null | null | null |
#
#! coding:utf-8
import xml.etree.ElementTree as ET
from xml.etree import ElementTree
import base64
import binascii
import numpy as np
import matplotlib.pyplot as plt
from collections import OrderedDict
SubType = {'1':'ASD','2':'CSD','3':'TF','4':'???','5':'COH'}
average_type = {'0':'Fixed','1':'Exponential','2':'Accumulative'} # not comfirmed
window_type = {'0':'Uniform','1':'Hanning','2':'Flat-top',
'3':'Welch','4':'Bartlet','5':'BMH'} # not comfirmed
class DttXMLSpectrum():
def __init__(self,child):
self.Name = child.attrib["Name"]
self._getAttribute(child)
self._getStream(child)
def _getAttribute(self,child):
self.dt = child.find("./Param[@Name='dt']").text
self.t0 = child.find("./Time[@Type='GPS']").text
self.BW = child.find("./Param[@Name='BW']").text
self.f0 = child.find("./Param[@Name='f0']").text
self.df = child.find("./Param[@Name='df']").text
self.N = int(child.find("./Param[@Name='N']").text)
self.Window = child.find("./Param[@Name='Window']").text
self.AveType = child.find("./Param[@Name='AverageType']").text
self.Averages = child.find("./Param[@Name='Averages']").text
self.Flag = child.find("./Param[@Name='Flag']").text
self.Subtype = SubType[child.find("./Param[@Name='Subtype']").text]
self.M = int(child.find("./Param[@Name='M']").text)
self.dim = child.find('./Array/Dim').text
channel = child.findall("./Param[@Unit='channel']")
self.Channel = list(map(lambda x:{x.attrib['Name']:x.text},channel))
Channel = OrderedDict(self.Channel[0])
for c in self.Channel:
Channel.update(OrderedDict(c))
self.Channel = Channel
def showInfo(self):
fmt = 'dt [s]\t:{dt:2.10f}\n'+\
't0(GPS)\t:{t0:10.1f}\n'+\
'BW [Hz]\t:{bw:2.10f} \n'+\
'f0 [Hz]\t:{f0:2.10f} \n'+\
'df [Hz]\t:{df:2.10f} \n'+\
'average\t:{average:12d} \n'+\
'Points\t:{n:12d} \n'+\
'window\t:{window:12s} \n'+\
'type\t:{aveType:12s}\n'+\
'flag\t:{flag:12s}'
text = fmt.format(dt=float(self.dt),
t0=float(self.t0),
bw=float(self.BW),
f0=float(self.f0),
df=float(self.df),
n=int(self.N),
window=self.Window,
aveType=self.AveType,
average=int(self.Averages),
flag=self.Flag
)
print(text)
def _getStream(self,child):
stream_str = child.find('./Array/Stream').text
stream_bin = binascii.a2b_base64(stream_str)
if self.Subtype == 'ASD': # float : asd
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
self.f = np.arange(len(self.spectrum))*float(self.df)
elif self.Subtype == 'CSD': # floatcomplex : cross spectrum
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
real = self.spectrum[0::2]
real = real.reshape(self.M,self.N)
imag = self.spectrum[1::2]
imag = imag.reshape(self.M,self.N)
imag = 1j*imag
c = real+imag
#print c[0,:5]
# Cxy
# x:ChannelA
# y:ChannelB[0-]
self.csd = np.absolute(c)
self.deg = np.rad2deg(np.angle(c))
self.f = np.arange(len(self.csd[0]))*float(self.df)
elif self.Subtype == '???': # float : coherence?
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
self.f = np.arange(len(self.spectrum))*float(self.df)
#print len(self.spectrum),len(self.f)
class DttXMLTransferFunction():
def __init__(self,child):
self.Name = child.attrib["Name"]
self._getAttribute(child)
self._getStream(child)
def _getAttribute(self,child):
#self.dt = child.find("./Param[@Name='dt']").text
#self.t0 = child.find("./Time[@Type='GPS']").text
self.BW = child.find("./Param[@Name='BW']").text
self.f0 = child.find("./Param[@Name='f0']").text
self.df = child.find("./Param[@Name='df']").text
self.N = int(child.find("./Param[@Name='N']").text)
self.Window = child.find("./Param[@Name='Window']").text
self.AveType = child.find("./Param[@Name='AverageType']").text
self.Averages = child.find("./Param[@Name='Averages']").text
self.Flag = child.find("./Param[@Name='Flag']").text
self.Subtype = SubType[child.find("./Param[@Name='Subtype']").text]
self.M = int(child.find("./Param[@Name='M']").text)
self.dim = child.find('./Array/Dim').text
channel = child.findall("./Param[@Unit='channel']")
self.Channel = list(map(lambda x:{x.attrib['Name']:x.text},channel))
Channel = OrderedDict(self.Channel[0])
for c in self.Channel:
Channel.update(OrderedDict(c))
self.Channel = Channel
def showInfo(self):
fmt = 'dt [s]\t:{dt:2.10f}\n'+\
't0(GPS)\t:{t0:10.1f}\n'+\
'BW [Hz]\t:{bw:2.10f} \n'+\
'f0 [Hz]\t:{f0:2.10f} \n'+\
'df [Hz]\t:{df:2.10f} \n'+\
'average\t:{average:12d} \n'+\
'Points\t:{n:12d} \n'+\
'window\t:{window:12s} \n'+\
'type\t:{aveType:12s}\n'+\
'flag\t:{flag:12s}'
text = fmt.format(dt=float(self.dt),
t0=float(self.t0),
bw=float(self.BW),
f0=float(self.f0),
df=float(self.df),
n=int(self.N),
window=self.Window,
aveType=self.AveType,
average=int(self.Averages),
flag=self.Flag
)
print(text)
def _getStream(self,child):
stream_str = child.find('./Array/Stream').text
stream_bin = binascii.a2b_base64(stream_str)
#print(stream_bin)
#print(self.Subtype)
#
if self.Subtype == 'ASD': # float : asd
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
#self.f = np.arange(len(self.spectrum))*float(self.df)
elif self.Subtype == 'CSD': # floatcomplex : cross spectrum
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
real = self.spectrum[0::2]
real = real.reshape(self.M,self.N)
imag = self.spectrum[1::2]
imag = imag.reshape(self.M,self.N)
imag = 1j*imag
c = real+imag
#print c[0,:5]
# Cxy
# x:ChannelA
# y:ChannelB[0-]
self.csd = np.absolute(c)
self.deg = np.rad2deg(np.angle(c))
#self.f = np.arange(len(self.csd[0]))*float(self.df)
elif self.Subtype == 'TF':
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
real = self.spectrum[0::2]
real = real.reshape(self.M+1,self.N)
imag = self.spectrum[1::2]
imag = imag.reshape(self.M+1,self.N)
imag = 1j*imag
c = real+imag
self.mag = np.absolute(c)
self.deg = np.rad2deg(np.angle(c))
#print('mag',self.mag)
#print('deg',self.deg)
#self.f = np.arange(len(self.mag[0]))*float(self.df)
#print('###',self.f,self.df)
#exit()
elif self.Subtype == 'COH':
self.spectrum = np.frombuffer(stream_bin, dtype=np.float32)
self.spectrum = self.spectrum.reshape(self.M+1,self.N)
self.mag = self.spectrum
else:
raise ValueError('!')
class DttXMLTestParameter():
def __init__(self,child):
self.Name = child.attrib["Name"]
self._getAttribute(child)
def _getAttribute(self,child):
#self.dt = child.find("./Param[@Name='dt']").text
#self.t0 = child.find("./Time[@Type='GPS']").text
self.sp = child.find("./Param[@Name='SweepPoints']").text
#print(self.sp)
self.sp = list(map(float,self.sp.split()))[0::2]
class DttData():
def __init__(self,xmlname):
'''
'''
tree = ElementTree.parse(xmlname)
root = tree.getroot()
self.spect = [DttXMLSpectrum(child) for child in \
root.findall("./LIGO_LW[@Type='Spectrum']")]
if not self.spect:
self.tfmode = True
self.spect = [DttXMLTransferFunction(child) for child in \
root.findall("./LIGO_LW[@Type='TransferFunction']")]
huge = root.findall("./LIGO_LW[@Type='TestParameter']")
hoge = DttXMLTestParameter(huge[0])
self.f = hoge.sp
def getAllSpectrumName(self):
'''
'''
for s in self.spect:
print(s.Name,s.Subtype,s.Channel['ChannelA'])
def getASDInfo(self,chname,ref=False):
'''
'''
asd = filter(lambda x:x.Subtype=="ASD", self.spect)
asd = filter(lambda x:x.Channel['ChannelA']==chname, asd)
asd = list(asd)
if len(asd)==1:
asd = asd[0]
else:
raise ValueError('Error!')
asd.showInfo()
def getASD(self,chname,ref=False):
'''
'''
asdlist = filter(lambda x:x.Subtype=="ASD", self.spect)
asdlist = filter(lambda x:x.Channel['ChannelA']==chname, asdlist)
asdlist = list(asdlist)
if len(asdlist)==0:
raise ValueError('No ASD with : {0}'.format(chname))
for asd in asdlist:
print(asd.Name,asd.Subtype)
if ref==False:
if 'Result' in asd.Name:
return asd.f,asd.spectrum
else:
raise ValueError('No name')
elif ref==True:
if 'Reference' in asd.Name:
return asd.f,asd.spectrum
else:
raise ValueError('No reference')
else:
print('!')
return None
print('!')
def getResultNum(self,chname,ref=False):
'''
'''
asd = list(filter(lambda x:x.Subtype=="ASD", self.spect))
asd = list(filter(lambda x:x.Channel['ChannelA']==chname, asd))
num = asd[0].Name
return int(num.split('[')[1][0])
def getCSD(self,chnameA,chnameB,ref=False,**kwargs):
'''
'''
import re
csd = list(filter(lambda x:x.Subtype=="CSD", self.spect))
csd = list(filter(lambda x:x.Channel['ChannelA']==chnameA, csd))
if not ref:
csd = list(filter(lambda x: 'Reference' not in x.Name , csd))
numA = self.getResultNum(chnameA,**kwargs)
for c in csd[0].Channel.keys():
if csd[0].Channel[c] == chnameB:
num = int(c[:-1].split('[')[1])
if num >= numA:
num = num -1
elif num < numA:
num = num
#print numA,num,csd[0].Channel[c]
return csd[0].f,csd[0].csd[num],csd[0].deg[num]
def getCoherence(self,chnameA,chnameB,ref=False):
'''
'''
if not self.tfmode:
freq = None
freq,CSD_AB,deg = self.getCSD(chnameA,chnameB)
freq,ASD_A = self.getASD(chnameA)
freq,ASD_B = self.getASD(chnameB)
mag = (CSD_AB/(ASD_A*ASD_B))**2
else:
import re
csd = list(filter(lambda x:x.Subtype=="COH", self.spect))
csd = list(filter(lambda x:x.Channel['ChannelA']==chnameA, csd))
if not ref:
csd = list(filter(lambda x: 'Reference' not in x.Name , csd))
else:
csd = list(filter(lambda x: 'Reference' in x.Name , csd))
if len(csd)==1:
csd = csd[0]
else:
raise ValueError('!')
chnames = list(csd.Channel.values())
label = list(csd.Channel.keys())
print(chnameA,chnames)
num = chnames.index(chnameB)
if ref:
freq = csd.mag[0]
else:
freq = self.f
mag = csd.mag[num]
return freq,mag
def getTF(self,chnameA,chnameB,ref=False,db=True):
'''
'''
if not self.tfmode:
f = None
f,CSD_AB,deg = self.getCSD(chnameA,chnameB)
f,ASD_A = self.getASD(chnameA)
f,ASD_B = self.getASD(chnameB)
mag = CSD_AB/(ASD_B*ASD_B)
return f,mag,deg
else:
import re
csd = list(filter(lambda x:x.Subtype=="TF", self.spect))
csd = list(filter(lambda x:x.Channel['ChannelA']==chnameA, csd))
if not ref:
csd = list(filter(lambda x: 'Reference' not in x.Name , csd))
else:
csd = list(filter(lambda x: 'Reference' in x.Name , csd))
if len(csd)==1:
csd = csd[0]
else:
raise ValueError('!')
chnames = list(csd.Channel.values())
label = list(csd.Channel.keys())
print(chnameA,chnames)
num = chnames.index(chnameB)
if ref:
freq = csd.mag[0]
else:
freq = self.f
mag = csd.mag[num]
deg = csd.deg[num]
if db:
mag = 20*np.log10(mag)
return freq,mag,deg
| 38.438503
| 81
| 0.483097
| 1,673
| 14,376
| 4.115959
| 0.112971
| 0.040517
| 0.048795
| 0.062736
| 0.754284
| 0.726111
| 0.719576
| 0.704328
| 0.685013
| 0.649579
| 0
| 0.018671
| 0.35921
| 14,376
| 373
| 82
| 38.541555
| 0.728832
| 0.059265
| 0
| 0.643836
| 0
| 0
| 0.107916
| 0.044035
| 0
| 0
| 0
| 0
| 0
| 1
| 0.061644
| false
| 0
| 0.034247
| 0
| 0.136986
| 0.027397
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 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
| 4
|
f570cddcfd6909cf11435d43423d70ccb8d64b16
| 133
|
py
|
Python
|
WEEKS/wk17/CodeSignal-Solutions/Core_007_-_lateRide.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
WEEKS/wk17/CodeSignal-Solutions/Core_007_-_lateRide.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
WEEKS/wk17/CodeSignal-Solutions/Core_007_-_lateRide.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
def lateRide(n):
hours = n // 60
minutes = n % 60
return (hours // 10) + (hours % 10) + (minutes // 10) + (minutes % 10)
| 26.6
| 74
| 0.511278
| 18
| 133
| 3.777778
| 0.444444
| 0.088235
| 0.323529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 0.300752
| 133
| 4
| 75
| 33.25
| 0.602151
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f57f22bf388fb4aa2a7b99663c5c1b62f0a9da4f
| 108
|
py
|
Python
|
getpaid/rest_framework/apps.py
|
wuuuduu/django-getpaid
|
d864de53bc947e2d1ab4f2d3879a803cab1216d3
|
[
"MIT"
] | 6
|
2020-05-26T08:49:10.000Z
|
2022-01-03T17:44:19.000Z
|
getpaid/rest_framework/apps.py
|
wuuuduu/django-getpaid
|
d864de53bc947e2d1ab4f2d3879a803cab1216d3
|
[
"MIT"
] | null | null | null |
getpaid/rest_framework/apps.py
|
wuuuduu/django-getpaid
|
d864de53bc947e2d1ab4f2d3879a803cab1216d3
|
[
"MIT"
] | 1
|
2021-08-23T06:59:05.000Z
|
2021-08-23T06:59:05.000Z
|
from django.apps import AppConfig
class GetpaidRestConfig(AppConfig):
name = "getpaid_rest_framework"
| 18
| 35
| 0.796296
| 12
| 108
| 7
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 108
| 5
| 36
| 21.6
| 0.903226
| 0
| 0
| 0
| 0
| 0
| 0.203704
| 0.203704
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
f58a63fcbad7aec0c720d44005782e265c314a57
| 17
|
py
|
Python
|
inventoryanalytics/simulation/deterministic/__init__.py
|
vishalbelsare/inventoryanalytics
|
85feff8f1abaf2c29414e066eed096ac3a74973b
|
[
"MIT"
] | 7
|
2018-06-17T02:45:33.000Z
|
2021-06-11T09:13:06.000Z
|
inventoryanalytics/simulation/deterministic/__init__.py
|
vishalbelsare/inventoryanalytics
|
85feff8f1abaf2c29414e066eed096ac3a74973b
|
[
"MIT"
] | 1
|
2021-02-07T03:33:22.000Z
|
2021-06-02T21:11:59.000Z
|
inventoryanalytics/simulation/deterministic/__init__.py
|
vishalbelsare/inventoryanalytics
|
85feff8f1abaf2c29414e066eed096ac3a74973b
|
[
"MIT"
] | 7
|
2018-07-14T19:45:43.000Z
|
2021-10-12T09:45:04.000Z
|
__all__ = ["des"]
| 17
| 17
| 0.588235
| 2
| 17
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 17
| 1
| 17
| 17
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 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
| 4
|
f59759138fa73fcc525ff95be2e388e6c99396f6
| 530
|
py
|
Python
|
app/models/user.py
|
johnshumon/fastapi-boilerplate
|
f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc
|
[
"MIT"
] | null | null | null |
app/models/user.py
|
johnshumon/fastapi-boilerplate
|
f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc
|
[
"MIT"
] | null | null | null |
app/models/user.py
|
johnshumon/fastapi-boilerplate
|
f0cb31e74ab773b8ce044149b17ce24c2e7fa4fc
|
[
"MIT"
] | null | null | null |
"""
User models module
"""
from sqlalchemy import Column, Integer, String
from app.models import Base
class User(Base):
"""User class"""
id: int = Column(Integer, primary_key=True, index=True)
firstname: str = Column(String(50), nullable=False, index=True)
lastname: str = Column(String(50), nullable=False, index=True)
email: str = Column(String(100), nullable=False)
username: str = Column(String(50), nullable=False, unique=True, index=True)
password: str = Column(String(100), nullable=False)
| 27.894737
| 79
| 0.696226
| 71
| 530
| 5.183099
| 0.408451
| 0.122283
| 0.203804
| 0.138587
| 0.461957
| 0.461957
| 0.211957
| 0.211957
| 0
| 0
| 0
| 0.027088
| 0.164151
| 530
| 18
| 80
| 29.444444
| 0.803612
| 0.054717
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.111111
| 0.222222
| 0
| 1
| 0
| 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
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
f5987f75714e27b31f8445c59b2b8df50b29383c
| 782
|
py
|
Python
|
oops_fhir/r4/value_set/parent_relationship_codes.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
oops_fhir/r4/value_set/parent_relationship_codes.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
oops_fhir/r4/value_set/parent_relationship_codes.py
|
Mikuana/oops_fhir
|
77963315d123756b7d21ae881f433778096a1d25
|
[
"MIT"
] | null | null | null |
from pathlib import Path
from fhir.resources.valueset import ValueSet as _ValueSet
from oops_fhir.utils import ValueSet
from oops_fhir.r4.code_system.v3_role_code import v3RoleCode
__all__ = ["ParentRelationshipCodes"]
_resource = _ValueSet.parse_file(Path(__file__).with_suffix(".json"))
class ParentRelationshipCodes(ValueSet):
"""
Parent Relationship Codes
The value set includes the v3 RoleCode PRN (parent), TWIN (twin) and all
of their specializations. It covers the relationships needed to
establish genetic pedigree relationships between family members.
Status: draft - Version: 4.0.1
http://hl7.org/fhir/ValueSet/parent-relationship-codes
"""
# TODO: fix this template issue1
pass
class Meta:
resource = _resource
| 23
| 76
| 0.751918
| 99
| 782
| 5.747475
| 0.666667
| 0.049209
| 0.056239
| 0.070299
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013953
| 0.175192
| 782
| 33
| 77
| 23.69697
| 0.868217
| 0.468031
| 0
| 0
| 0
| 0
| 0.069136
| 0.05679
| 0
| 0
| 0
| 0.030303
| 0
| 1
| 0
| false
| 0.1
| 0.4
| 0
| 0.6
| 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
| 1
| 0
| 1
| 0
|
0
| 4
|
194c38c24bff2dd1b26d3bd458a2d3f23f28316b
| 121
|
py
|
Python
|
controle_de_estoque/app.py
|
rodrigo-labs/controle_estoque
|
890acefef2c3dace68723d086a0d40f27ff20476
|
[
"MIT"
] | 6
|
2020-09-20T21:38:47.000Z
|
2021-11-15T10:45:02.000Z
|
controle_de_estoque/app.py
|
rodrigo-labs/controle_estoque
|
890acefef2c3dace68723d086a0d40f27ff20476
|
[
"MIT"
] | null | null | null |
controle_de_estoque/app.py
|
rodrigo-labs/controle_estoque
|
890acefef2c3dace68723d086a0d40f27ff20476
|
[
"MIT"
] | 6
|
2019-06-27T18:15:51.000Z
|
2022-02-17T19:31:59.000Z
|
from controle_de_estoque.controllers import controllers
if __name__ == "__main__":
controllers.principal_controle()
| 24.2
| 55
| 0.809917
| 13
| 121
| 6.692308
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115702
| 121
| 4
| 56
| 30.25
| 0.813084
| 0
| 0
| 0
| 0
| 0
| 0.066116
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
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