code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function _get_cmap_data data kwargs
begin
string Get normalized values to be used with a colormap. Parameters ---------- data : array_like cmap_min : Optional[float] or "min" By default 0. If "min", minimum value of the data. cmap_max : Optional[float] By default, maximum value of the data cmap_normalize : str or color... | def _get_cmap_data(data, kwargs) -> Tuple[colors.Normalize, np.ndarray]:
"""Get normalized values to be used with a colormap.
Parameters
----------
data : array_like
cmap_min : Optional[float] or "min"
By default 0. If "min", minimum value of the data.
cmap_max : Optional[float]
... | Python | jtatman_500k |
function get_conn self
begin
string Retrieves connection to Google Compute Engine. :return: Google Compute Engine services object :rtype: dict
if not _conn
begin
set http_authorized = call _authorize
set _conn = call build string compute api_version http=http_authorized cache_discovery=false
end
return _conn
end functi... | def get_conn(self):
"""
Retrieves connection to Google Compute Engine.
:return: Google Compute Engine services object
:rtype: dict
"""
if not self._conn:
http_authorized = self._authorize()
self._conn = build('compute', self.api_version,
... | Python | jtatman_500k |
function do_unthrottle self *args
begin
string Remove the throughput limits for DQL that were set with 'throttle' # Remove all limits > unthrottle # Remove the limit on total allowed throughput > unthrottle total # Remove the default limit > unthrottle default # Remove the limit on a table > unthrottle mytable # Remove... | def do_unthrottle(self, *args):
"""
Remove the throughput limits for DQL that were set with 'throttle'
# Remove all limits
> unthrottle
# Remove the limit on total allowed throughput
> unthrottle total
# Remove the default limit
> unthrottle default
... | Python | jtatman_500k |
comment exercise
set mydict = dict string window dict string title string Sample Konfabulator Widget ; string name string main_window ; string width 500 ; string height 500 ; string image dict string src string Images/Sun.png ; string name string sun1 ; string hOffset 250 ; string vOffset 250 ; string alignment string ... | #exercise
mydict = {
"window": {
"title": "Sample Konfabulator Widget",
"name": "main_window",
"width": 500,
"height": 500
},
"image": {
"src": "Images/Sun.png",
"name": "sun1",
"hOffset": 250,
"vOffset": 250,
"alignment"... | Python | zaydzuhri_stack_edu_python |
function getProduct self
begin
return product call Product_getProduct _obj
end function | def getProduct(self):
return Product(Product_getProduct(self._obj)) | Python | nomic_cornstack_python_v1 |
comment Your task is to prepare a simple code able to evaluate the end time of a period of time,
comment given as a number of minutes (it could be arbitrarily large).
comment The start time is given as a pair of hours (0..23) and minutes (0..59).
comment The result has to be printed to the console.
set hour = integer i... | #Your task is to prepare a simple code able to evaluate the end time of a period of time,
#given as a number of minutes (it could be arbitrarily large).
#The start time is given as a pair of hours (0..23) and minutes (0..59).
#The result has to be printed to the console.
hour = int(input("Starting time (hours): "))... | Python | zaydzuhri_stack_edu_python |
comment 482. License Key Formatting
class Solution extends object
begin
function licenseKeyFormatting self S K
begin
string :type S: str :type K: int :rtype: str
set S = replace S string - string
set l = length S
if l == 0
begin
return string
end
set result = string
set begin = 0
set end = 0
if l % K > 0
begin
set en... | # 482. License Key Formatting
class Solution(object):
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
S = S.replace('-', '')
l = len(S)
if l == 0:
return ''
result = ''
begin = end = 0
... | Python | zaydzuhri_stack_edu_python |
function agrupar self indiceA indiceB
begin
set agrupA = agrupaciones at indiceA
set agrupB = agrupaciones at indiceB
set inicio_corrimiento = indiceB + 1
for i in range inicio_corrimiento length agrupaciones
begin
call actualizar_indice_agrupamiento agrupaciones at i i - 1
end
call actualizar_indice_agrupamiento agrup... | def agrupar(self,indiceA,indiceB):
agrupA = self.agrupaciones[indiceA]
agrupB = self.agrupaciones[indiceB]
inicio_corrimiento = indiceB+1
for i in range(inicio_corrimiento,len(self.agrupaciones)):
self.actualizar_indice_agrupamiento(self.agrupaciones[i],i-1)
... | Python | nomic_cornstack_python_v1 |
function check_url_format self
begin
set m = match string ^http://www.tesco.com/direct/[0-9a-zA-Z-]+/[0-9-]+\.prd$ product_page_url
set n = match string ^http://www.tesco.com/.*$ product_page_url
return not not m or not not n
end function | def check_url_format(self):
m = re.match("^http://www.tesco.com/direct/[0-9a-zA-Z-]+/[0-9-]+\.prd$", self.product_page_url)
n = re.match("^http://www.tesco.com/.*$", self.product_page_url)
return (not not m) or (not not n) | Python | nomic_cornstack_python_v1 |
from math import inf
from sys import stdout , stdin
set P_BIG = 9369319
set A_BIG = 451543
set P_SMALL = 31
set A_SMALL = 26
class MultiMap
begin
function __init__ self
begin
set hash_p = P_BIG
set a = list none * hash_p
set size = 0
set hash_a = A_BIG
set ripcnt = 0
end function
function insert self x y
begin
if size ... | from math import inf
from sys import stdout, stdin
P_BIG = 9369319
A_BIG = 451543
P_SMALL = 31
A_SMALL = 26
class MultiMap:
def __init__(self):
self.hash_p = P_BIG
self.a = [None] * self.hash_p
self.size = 0
self.hash_a = A_BIG
self.ripcnt = 0
d... | Python | zaydzuhri_stack_edu_python |
function GetEntitiesCount self
begin
return call InvokeTypes 5 LCID 1 tuple 3 0 tuple
end function | def GetEntitiesCount(self):
return self._oleobj_.InvokeTypes(5, LCID, 1, (3, 0), (),) | Python | nomic_cornstack_python_v1 |
import numpy as np
import pickle
function unpickle file
begin
set infile = open file string rb
set data = load pickle infile
close infile
return data
end function
function dopickle obj file
begin
with open file string wb as f
begin
dump obj f
end
end function
function stride_axis arr window
begin
string Takes a numpy a... | import numpy as np
import pickle
def unpickle(file):
infile = open(file, 'rb')
data = pickle.load(infile)
infile.close()
return data
def dopickle(obj, file):
with open(file, 'wb') as f:
pickle.dump(obj, f)
def stride_axis(arr, window):
"""
Takes a numpy array and creates multipl... | Python | zaydzuhri_stack_edu_python |
function nitems_written self *args **kwargs
begin
return call repeater_sptr_nitems_written self *args keyword kwargs
end function | def nitems_written(self, *args, **kwargs):
return _my_lte_swig.repeater_sptr_nitems_written(self, *args, **kwargs) | Python | nomic_cornstack_python_v1 |
from sklearn.tree import DecisionTreeClassifier
from sklearn import tree
from sklearn import datasets
import matplotlib.pyplot as plt
from sklearn.model_selection import cross_val_score
set iris = call load_iris
print iris
set X = data
set y = target
print X
print y
set tree_model = call DecisionTreeClassifier max_dept... | from sklearn.tree import DecisionTreeClassifier
from sklearn import tree
from sklearn import datasets
import matplotlib.pyplot as plt
from sklearn.model_selection import cross_val_score
iris = datasets.load_iris()
print(iris)
X = iris.data
y = iris.target
print(X)
print(y)
tree_model = DecisionTreeClassifier(max_de... | Python | zaydzuhri_stack_edu_python |
function add_random_alpha_variation self image
begin
comment skip mask images
if mode == string L
begin
return image
end
set img_array = array call convert string RGBA
set center_y = random integer 0 shape at 0
set center_x = random integer 0 shape at 1
set alpha_array = call full_like img_array at tuple slice : : s... | def add_random_alpha_variation(self, image: Image.Image) -> Image.Image:
if image.mode == "L": # skip mask images
return image
img_array = np.array(image.convert('RGBA'))
center_y = np.random.randint(0, img_array.shape[0])
center_x = np.random.ran... | Python | nomic_cornstack_python_v1 |
function ad_create template replacements fallback max_len=30 capitalize=true
begin
if length format template fallback > max_len
begin
raise call ValueError string template + fallback should be <= + string max_len + string chars
end
set final_ad = list
for rep in replacements
begin
if length format template rep <= max_... | def ad_create(template, replacements, fallback, max_len=30, capitalize=True):
if len(template.format(fallback)) > max_len:
raise ValueError('template + fallback should be <= '
+ str(max_len) + ' chars')
final_ad = []
for rep in replacements:
if len(template.format(re... | Python | nomic_cornstack_python_v1 |
comment real signature unknown; restored from __doc__
function bit_length self
begin
pass
end function | def bit_length(self): # real signature unknown; restored from __doc__
pass | Python | nomic_cornstack_python_v1 |
function wait_for_connection timeout
begin
global connected
set total_time = 0
while not connected and total_time < timeout
begin
sleep 1
set total_time = total_time + 1
end
if not connected
begin
raise call RuntimeError string Could not connect to MQTT bridge.
end
end function | def wait_for_connection(timeout):
global connected
total_time = 0
while not connected and total_time < timeout:
time.sleep(1)
total_time += 1
if not connected:
raise RuntimeError('Could not connect to MQTT bridge.') | Python | nomic_cornstack_python_v1 |
function convert self out_path
begin
set tape_data_hdf5 = call createTapeHDF5Dict
call deleteFile out_path
call to_hdf5 tape_data_hdf5 out_path
print format string HDF5 file has been successfully saved at {} out_path
end function | def convert(self, out_path: str)->None:
tape_data_hdf5 = self.createTapeHDF5Dict()
self.deleteFile(out_path)
self.to_hdf5(tape_data_hdf5, out_path)
print("HDF5 file has been successfully saved at {}".format(out_path)) | Python | nomic_cornstack_python_v1 |
class TrieNode
begin
function __init__ self label terminal
begin
set label = label
set terminal = terminal
set next_nodes = dict
end function
end class
class Trie
begin
function __init__ self build_lexi=none
begin
set Root = call TrieNode string false
if build_lexi is not none
begin
call construct build_lexi
end
end ... | class TrieNode:
def __init__(self, label, terminal):
self.label = label
self.terminal = terminal
self.next_nodes = {}
class Trie:
def __init__(self, build_lexi=None):
self.Root = TrieNode('', False)
if build_lexi is not None:
self.construct(build_lexi)
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment preamble, line start, line end, post-amble
set c = tuple string fizzbuzz.c string #include<stdio.h> int main(){ string printf(" string "); string }
set cplusplus = tuple string fizzbuzz.cpp string #include <iostream> int main(){ string std::cout << " string "; string }
set java = tu... | #!/usr/bin/env python
# preamble, line start, line end, post-amble
c = ("fizzbuzz.c", "#include<stdio.h>\n\nint main(){\n", " printf(\"", "\");\n", "}")
cplusplus = ("fizzbuzz.cpp", "#include <iostream>\n\nint main(){\n", " std::cout << \"", "\";\n", "}")
java = ("FizzBuzz.java", "public class fizzbuzz {\n pub... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
import os
import tensorflow as tf
import tensorflow.keras.layers as tfl
from tensorflow.keras.preprocessing import image_dataset_from_directory
from tensorflow.keras.layers.experimental.preprocessing import RandomFlip , RandomRotation
comment Data Preparation : Create ... | import matplotlib.pyplot as plt
import numpy as np
import os
import tensorflow as tf
import tensorflow.keras.layers as tfl
from tensorflow.keras.preprocessing import image_dataset_from_directory
from tensorflow.keras.layers.experimental.preprocessing import RandomFlip, RandomRotation
# Data Preparation : Create a Dat... | Python | zaydzuhri_stack_edu_python |
import numpy as np
class InitConfig
begin
string This class holds everything intended to be configurable by the user in one location. I'm doing this instead of a run script with global variables.
function __init__ self
begin
comment Related to generations and breeding
comment Total population per generation
set generat... | import numpy as np
class InitConfig:
"""
This class holds everything intended to be configurable by the user in one
location. I'm doing this instead of a run script with global variables.
"""
def __init__(self) -> None:
# Related to generations and breeding
# Total population pe... | Python | zaydzuhri_stack_edu_python |
function traffic_generator_connectivity testbed get_configuration
begin
if get_configuration at string traffic_generator at string name == string lanforge
begin
set lanforge_ip = get_configuration at string traffic_generator at string details at string ip
set lanforge_port = get_configuration at string traffic_generato... | def traffic_generator_connectivity(testbed, get_configuration):
if get_configuration['traffic_generator']['name'] == "lanforge":
lanforge_ip = get_configuration['traffic_generator']['details']['ip']
lanforge_port = get_configuration['traffic_generator']['details']['port']
# Condition :
... | Python | nomic_cornstack_python_v1 |
import matplotlib.pyplot as plt
import environment
from q_learning_agent import QLearningAgent
import utils
if __name__ == string __main__
begin
comment Initializing Environment
set env = call Env
comment Initializing Graphic Display
set display = call GraphicDisplay env
comment Initializing Q-Learning Agent
set q_lear... | import matplotlib.pyplot as plt
import environment
from q_learning_agent import QLearningAgent
import utils
if __name__ == "__main__":
env = environment.Env() # Initializing Environment
display = utils.GraphicDisplay(env) # Initializing Graphic Display
q_learning_agent = QLearningAgent(env.actions) # In... | Python | zaydzuhri_stack_edu_python |
comment your code goes here
set tuple a b = map str split input
set c = integer b
set d = length a
set s = a
for i in range c
begin
set s = s at - 1 + s at slice : d - 1 :
end
print s | # your code goes here
a,b=map(str,input().split())
c=int(b)
d=len(a)
s=a
for i in range(c):
s=s[-1]+s[:d-1]
print(s)
| Python | zaydzuhri_stack_edu_python |
function get_sample self
begin
if c_heatmap_3
begin
set tuple sample_images sample_conditions = call get_image_condition_pose_mpii_big sample_files condition_dir channel_num=3
set images_visual = merge call denorm_image sample_images list manifold_h_sample manifold_w_sample
end
else
if c_heatmap_all
begin
set tuple sam... | def get_sample(self):
if self.c_heatmap_3:
sample_images, sample_conditions = get_image_condition_pose_mpii_big(
self.sample_files, self.condition_dir, channel_num=3)
images_visual = merge(denorm_image(sample_images), [self.manifold_h_sample, self.manifold_w_sample])
... | Python | nomic_cornstack_python_v1 |
for ch in st at slice : : - 1
begin
if ch == string (
begin
set st_out = st_out + string )
end
else
begin
set st_out = st_out + string (
end
end | for ch in st[::-1]:
if ch == '(':
st_out += ')'
else:
st_out += '(' | Python | zaydzuhri_stack_edu_python |
function get_search_coords bank_folder=string quad_bank/
begin
if not exists path bank_folder
begin
make directory os bank_folder
end
set s_coords = list comprehension split split split fil string / at 1 string _ at 1 string . at 0 for fil in glob glob bank_folder + string *.txt
if length s_coords == 0
begin
print stri... | def get_search_coords(bank_folder="quad_bank/"):
if not os.path.exists(bank_folder):
os.mkdir(bank_folder)
s_coords = [fil.split("/")[1].split("_")[1].split(".")[0]
for fil in glob.glob(bank_folder + "*.txt")]
if len(s_coords) == 0:
print(
f"Error: no seed files f... | Python | nomic_cornstack_python_v1 |
function setInput self
begin
setup gpio bcm_id IN pull_up_down=pull
set mode = IN
end function | def setInput(self):
gpio.setup(self.bcm_id, gpio.IN, pull_up_down=self.pull)
self.mode = gpio.IN | Python | nomic_cornstack_python_v1 |
function main
begin
run use_reloader=true
end function | def main():
app.handler.run(use_reloader=True) | Python | nomic_cornstack_python_v1 |
import sys
import itertools
from io import StringIO
from tikz import *
from pospopcnt import *
function popcnt bytes mask
begin
set res = 0
for b in bytes
begin
if b ? mask
begin
set res = res + 1
end
end
return res
end function
function draw_picture f
begin
set x = 0.0
set y = 0.0
set w_bit = 0.25
set h = 0.45
set inp... | import sys
import itertools
from io import StringIO
from tikz import *
from pospopcnt import *
def popcnt(bytes, mask):
res = 0
for b in bytes:
if b & mask:
res += 1
return res
def draw_picture(f):
x = 0.0
y = 0.0
w_bit = 0.25
h = 0.45
input = QWORD(x, y, 64... | Python | zaydzuhri_stack_edu_python |
function test_get_target self
begin
pass
end function | def test_get_target(self):
pass | Python | nomic_cornstack_python_v1 |
function process_settings settings
begin
function build_passive_voice_regex linking_verbs irregulars
begin
return string (?<!\w)( + join string | linking_verbs + string )\s+(\w+ed| + join string | irregulars + string )(?!\w)
end function
function build_regex_from_wordlist words
begin
set word_to_expr = lambda w -> stri... | def process_settings(settings):
def build_passive_voice_regex(linking_verbs, irregulars):
return r'(?<!\w)(' + '|'.join(linking_verbs) + r')\s+(\w+ed|' + '|'.join(irregulars) + r')(?!\w)'
def build_regex_from_wordlist(words):
word_to_expr = lambda w: r'(?<!\w)' + w + r'(?!\w)'
... | Python | nomic_cornstack_python_v1 |
for i in a
begin
if i not in a1
begin
append a1 i
end
else
begin
set n1 = n1 + 1
end
end
print *a1
print n1 | for i in a:
if i not in a1:
a1.append(i)
else:
n1 += 1
print(*a1)
print(n1)
| Python | zaydzuhri_stack_edu_python |
for value in range 1 6
begin
print value
end
set digits = list range 1 10
print digits
print max digits
print min digits
print sum digits
print digits at slice 1 : 6 :
for digit in digits at slice : 6 :
begin
print digit
end | for value in range(1, 6):
print(value)
digits = list(range(1, 10))
print(digits)
print(max(digits))
print(min(digits))
print(sum(digits))
print(digits[1:6])
for digit in digits[:6]:
print(digit)
| Python | zaydzuhri_stack_edu_python |
function test_save_and_load self tmpdir create_configuration
begin
global example_data
set tmp_file = join tmpdir string configuration.ini
comment create the configuration
set tuple configuration load_args save_args = call create_configuration tmp_file
comment set the values
for tuple group key value args in example_da... | def test_save_and_load(self, tmpdir, create_configuration):
global example_data
tmp_file = tmpdir.join("configuration.ini")
# create the configuration
configuration, load_args, save_args = create_configuration(tmp_file)
# set the values
for group, key, value, args in ... | Python | nomic_cornstack_python_v1 |
function drag_data_received self widget context x y sel_data info time
begin
if sel_data and call get_data
begin
set data = loads call get_data
if is instance data list
begin
set data = list comprehension loads x for x in data
end
else
begin
set data = list data
end
for value in data
begin
set tuple mytype selfid obj r... | def drag_data_received(self, widget, context, x, y, sel_data, info, time):
if sel_data and sel_data.get_data():
data = pickle.loads(sel_data.get_data())
if isinstance(data, list):
data = [pickle.loads(x) for x in data]
else:
data = [data]
... | Python | nomic_cornstack_python_v1 |
function get_properties zos_obj
begin
string Returns a lists of properties bound to the object `zos_obj` @param zos_obj: ZOS API Python COM object @return prop_get: list of properties that are only getters @return prop_set: list of properties that are both getters and setters
set prop_get = set keys _prop_map_get_
set ... | def get_properties(zos_obj):
"""Returns a lists of properties bound to the object `zos_obj`
@param zos_obj: ZOS API Python COM object
@return prop_get: list of properties that are only getters
@return prop_set: list of properties that are both getters and setters
"""
prop_get = set(zos_obj._pro... | Python | jtatman_500k |
function SelectByName self Flags=defaultNamedNotOptArg IdStr=defaultNamedNotOptArg
begin
return call InvokeTypes 65575 LCID 1 tuple 24 0 tuple tuple 3 1 tuple 8 1 Flags IdStr
end function | def SelectByName(self, Flags=defaultNamedNotOptArg, IdStr=defaultNamedNotOptArg):
return self._oleobj_.InvokeTypes(65575, LCID, 1, (24, 0), ((3, 1), (8, 1)),Flags
, IdStr) | Python | nomic_cornstack_python_v1 |
function build_detection_graph config checkpoint batch_size=1 score_threshold=none iou_threshold=none force_nms_cpu=true replace_relu6=true remove_assert=true input_shape=none output_dir=string .generated_model
begin
set config_path = config
set checkpoint_path = checkpoint
comment parse config from file
set config = c... | def build_detection_graph(config, checkpoint,
batch_size=1,
score_threshold=None,
iou_threshold=None,
force_nms_cpu=True,
replace_relu6=True,
remove_assert=Tr... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
from pandas import read_csv
class IMPORT_CEX
begin
function __init__ self path
begin
set path = path
set df = call import_els path
set df = call propre_df df
end function
comment mettre les methode a lancer
function import_els self path
begin
try
begin
set df = read csv path
end
except Typ... | #!/usr/bin/env python3
from pandas import read_csv
class IMPORT_CEX:
def __init__(self, path):
self.path = path
self.df = self.import_els(self.path)
self.df = self.propre_df(self.df)
# mettre les methode a lancer
def import_els(self, path):
try:
df = read_... | Python | zaydzuhri_stack_edu_python |
function FaceInSurfaceSense self
begin
return call InvokeTypes 10 LCID 1 tuple 11 0 tuple
end function | def FaceInSurfaceSense(self):
return self._oleobj_.InvokeTypes(10, LCID, 1, (11, 0), (),) | Python | nomic_cornstack_python_v1 |
comment В файлике train.csv содержится информация о числе ридов с каждым из 4-ёх нуклеотидов по разным позициям (колонки A, T, G, C)).
comment Постройте гистограмму распределения этих чисел
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
comment когда вставляла ссылску на гитхаб, он ругался
set d... | #В файлике train.csv содержится информация о числе ридов с каждым из 4-ёх нуклеотидов по разным позициям (колонки A, T, G, C)).
# Постройте гистограмму распределения этих чисел
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv('/Users/lolitiy/Documents/inst_bioinf_19_20/python/t... | Python | zaydzuhri_stack_edu_python |
function problem1_space_test
begin
set ll = call gen_test_ll 10
print string Before: + string ll
set ll = call problem1_space ll
print string After: + string ll
end function | def problem1_space_test():
ll = gen_test_ll(10)
print('Before: ' + str(ll))
ll = problem1_space(ll)
print('After: ' + str(ll)) | Python | nomic_cornstack_python_v1 |
from pymongo import MongoClient
set client = call MongoClient string localhost 27017
set dict_database = call get_database string dictionary
set teencode_collection = call get_collection string teencodes
set teencode = call find_one
del teencode at string _id
comment teencode_collection.insert_one(teencode)
while true
... | from pymongo import MongoClient
client = MongoClient('localhost', 27017)
dict_database = client.get_database('dictionary')
teencode_collection = dict_database.get_collection('teencodes')
teencode = teencode_collection.find_one()
del teencode["_id"]
# teencode_collection.insert_one(teencode)
while True:
for key i... | Python | zaydzuhri_stack_edu_python |
function verify_neighbor_count device protocol neighbor value neighbor_count
begin
info format string verify the neighbor count on device for protocol {protocol} neighbor {neighbor} value {value} protocol=protocol neighbor=neighbor value=value
set cmd = string show { protocol } { neighbor } | count { value }
try
begin
... | def verify_neighbor_count(device, protocol, neighbor, value, neighbor_count):
log.info(
"verify the neighbor count on device for protocol {protocol} neighbor {neighbor} value {value}".format(
protocol=protocol, neighbor=neighbor, value=value
)
)
cmd = f'show {protocol} {ne... | Python | nomic_cornstack_python_v1 |
function bit_count int_type
begin
set count = 0
while int_type
begin
set int_type = int_type ? int_type - 1
set count = count + 1
end
return count
end function | def bit_count(int_type):
count = 0
while int_type:
int_type &= int_type - 1
count += 1
return count | Python | nomic_cornstack_python_v1 |
function finish self closed=false cont=false
begin
call removeTemporaryObject
if oldWP
begin
set DraftWorkingPlane = oldWP
if has attribute Gui string Snapper
begin
call setGrid
call restack
end
end
set oldWP = none
if length node > 1
begin
if true
begin
call addModule string Draft
comment The command to run is built a... | def finish(self, closed=False, cont=False):
self.removeTemporaryObject()
if self.oldWP:
App.DraftWorkingPlane = self.oldWP
if hasattr(Gui, "Snapper"):
Gui.Snapper.setGrid()
Gui.Snapper.restack()
self.oldWP = None
if len(self.node) ... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import requests
import time
comment Search npi registry for specific taxonomy and return bulk - Sample call: https://npiregistry.cms.hhs.gov/api/?number=&enumeration_type=&taxonomy_description=&first_name=&use_first_name_alias=&last_name=&organization_name=&address_purpose=&city=&state=&postal_code=... | import pandas as pd
import requests
import time
#Search npi registry for specific taxonomy and return bulk - Sample call: https://npiregistry.cms.hhs.gov/api/?number=&enumeration_type=&taxonomy_description=&first_name=&use_first_name_alias=&last_name=&organization_name=&address_purpose=&city=&state=&postal_code=&c... | Python | zaydzuhri_stack_edu_python |
function max_subarray_sum arr
begin
set current_sum = 0
set max_sum = 0
for x in arr
begin
set current_sum = current_sum + x
if current_sum < 0
begin
set current_sum = 0
end
if current_sum > max_sum
begin
set max_sum = current_sum
end
end
return max_sum
end function
set result = call max_subarray_sum list - 2 4 - 1 5 6... | def max_subarray_sum(arr):
current_sum = 0
max_sum = 0
for x in arr:
current_sum += x
if current_sum < 0:
current_sum = 0
if current_sum > max_sum:
max_sum = current_sum
return max_sum
result = max_subarray_sum([-2, 4, -1, 5, 6])
print(result) | Python | iamtarun_python_18k_alpaca |
comment Library to play Go.
import copy
import logging
set BLACK = 1
set WHITE = 2
set PASS = 0
set SURRENDER = 1
class PlayLog
begin
function __init__ self board ko turn action winner
begin
string Defines play log. board: [0/1/2] * 81 ko: 1~81, 0 means no Ko. turn: black:1, white:2 action: 0: pass, 11~99: play, 1: sur... | # Library to play Go.
import copy
import logging
BLACK = 1
WHITE = 2
PASS = 0
SURRENDER = 1
class PlayLog:
def __init__(self, board, ko, turn, action, winner):
""" Defines play log.
board: [0/1/2] * 81
ko: 1~81, 0 means no Ko.
turn: black:1, white:2
action: 0: pass, 11~99: play, 1: surrender
... | Python | zaydzuhri_stack_edu_python |
function report_failure self out test example got
begin
call out call _failure_header test example + call output_difference example got optionflags
end function | def report_failure(self, out, test, example, got):
out(self._failure_header(test, example) +
self._checker.output_difference(example, got, self.optionflags)) | Python | nomic_cornstack_python_v1 |
import pygame
import os
from space_invaders import *
function setup_graphics
begin
call init
set screen = call set_mode tuple 1200 800
call set_caption string Space Invaders
set images = dict
with call scandir string .\images as it
begin
for entry in it
begin
if call is_dir
begin
set imagelist = list
with call scandi... | import pygame
import os
from space_invaders import *
def setup_graphics():
pygame.init()
screen = pygame.display.set_mode((1200, 800))
pygame.display.set_caption("Space Invaders")
images = {}
with os.scandir(".\images") as it:
for entry in it:
if entry.is_dir():
... | Python | zaydzuhri_stack_edu_python |
comment https://en.wikipedia.org/wiki/Methods_of_computing_square_roots#Babylonian_method
function square_root value abs_err=1e-09 iters=10000
begin
set current = value + 1 / 2
set err = 1
set count = 0
while count < iters and err > abs_err
begin
set new = current + value / current / 2
set err = absolute current ^ 2 - ... | # https://en.wikipedia.org/wiki/Methods_of_computing_square_roots#Babylonian_method
def square_root(value, abs_err=1e-9, iters=10000):
current = (value + 1) / 2
err = 1
count = 0
while count < iters and err > abs_err:
new = (current + value / current) / 2
err = abs(current ** 2 - value)
... | Python | zaydzuhri_stack_edu_python |
function labelSlider
begin
global count sliderwords
set text = string welcome to typing speed increaser game
if count >= length text
begin
set count = 0
set sliderwords = string
end
set sliderwords = sliderwords + text at count
set count = count + 1
call configure text=sliderwords
call after 150 labelSlider
end functi... | def labelSlider():
global count,sliderwords
text='welcome to typing speed increaser game'
if(count>=len(text)):
count=0
sliderwords =''
sliderwords=sliderwords+text[count]
count+=1
fontLabel.configure(text=sliderwords)
fontLabel.after(150,labelSlider)
def time... | Python | zaydzuhri_stack_edu_python |
from enum import Enum
from collections import deque
class ModelAction extends Enum
begin
string An action that occurs in the game. These are the actions that the model publishes, and which views may subscribe to.
set tuple player_added player_removed board_created game_started next_player try_again color_played game_wo... | from enum import Enum
from collections import deque
class ModelAction(Enum):
"""An action that occurs in the game.
These are the actions that the model publishes, and which views may
subscribe to.
"""
(
player_added, player_removed, board_created, game_started,
next_player, try_ag... | Python | zaydzuhri_stack_edu_python |
import numpy
from collections import Counter
set n = array list 1 1 2 3 3 3 0
print string original n
print string most common: call most_common
set res = list comprehension x at 1 for x in call most_common if x at 0 > 1
print string Duplicates: res | import numpy
from collections import Counter
n = numpy.array([1, 1, 2, 3, 3, 3, 0])
print("original", n)
print("most common:", Counter(n).most_common())
res = [x[1] for x in Counter(n).most_common() if x[0] > 1]
print("Duplicates: ", res)
| Python | zaydzuhri_stack_edu_python |
function max_prime_factor number
begin
set max_factor = 0
set current_factor = 2
while number > 1
begin
while call is_factor number current_factor
begin
set number = number / current_factor
set max_factor = current_factor
end
set current_factor = current_factor + 1
end
return max_factor
end function | def max_prime_factor(number):
max_factor = 0
current_factor = 2
while number > 1:
while is_factor(number, current_factor):
number /= current_factor
max_factor = current_factor
current_factor += 1
return max_factor
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment count sort
comment k means the max integer(value scope) in list
function countSort alist k
begin
set b = list
set c = list comprehension 0 for i in call xrange k + 1
for i in alist
begin
comment count the value i of alist to c[i]
set c at i = c at i + ... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#count sort
#k means the max integer(value scope) in list
def countSort(alist, k):
b = []
c = [0 for i in xrange(k+1)]
for i in alist:
c[i] += 1 #count the value i of alist to c[i]
c_index = 0 #current index of c
for i in c:
for dup in range(0, i): #dup m... | Python | zaydzuhri_stack_edu_python |
function _match_smaller self
begin
return get size path path < args at string n
end function | def _match_smaller(self):
return os.path.getsize(self.ctx.path) < self.args["n"] | Python | nomic_cornstack_python_v1 |
function bb_temp_watts obs_wavelength pixel_deltalambda source_temp=270 * K
begin
set frequency = to c / obs_wavelength Hz
set bt = call brightness_temperature frequency
set brightness_temp = to source_temp string Jy/steradian equivalencies=bt
set spectral_stuff = call spectral_density obs_wavelength
set zeus_beam_radi... | def bb_temp_watts(obs_wavelength,
pixel_deltalambda,
source_temp=270*units.K
):
frequency = (const.c/obs_wavelength).to(units.Hz)
bt = units.brightness_temperature(frequency)
brightness_temp = source_temp.to("Jy/steradian", equivalencies=bt)
spectral... | Python | nomic_cornstack_python_v1 |
function test_rekey_non_encrypted self
begin
with raises EncryptionError
begin
call rekey string message old_key=b'0' * 32 new_key=b'1' * 32
end
end function | def test_rekey_non_encrypted(self):
with pytest.raises(EncryptionError):
rekey('message', old_key=b'0' * 32, new_key=b'1' * 32) | Python | nomic_cornstack_python_v1 |
function test_no_sites_framework self
begin
delete
del SITE_ID
set response = get client reverse string django-admindocs-views-index
call assertContains response string View documentation
end function | def test_no_sites_framework(self):
Site.objects.all().delete()
del settings.SITE_ID
response = self.client.get(reverse('django-admindocs-views-index'))
self.assertContains(response, 'View documentation') | Python | nomic_cornstack_python_v1 |
from lib.molecule import molecule
import lib.handle_file as hf
comment 单例
class toplogy
begin
comment 分子及其个数
set molecules_list = list
comment 分子种类
set molecules_set = set
comment 按出现的顺序, 分子名——分子拓扑
set molname2molobj = dict
function __init__ self in_file sys_ff
begin
set file = in_file
set ffield = sys_ff
call _extra... | from lib.molecule import molecule
import lib.handle_file as hf
# 单例
class toplogy:
molecules_list = [] # 分子及其个数
molecules_set = set() # 分子种类
molname2molobj = {} # 按出现的顺序, 分子名——分子拓扑
def __init__(self, in_file, sys_ff):
self.file = in_file
self.ffield = sys_ff
se... | Python | zaydzuhri_stack_edu_python |
function spider_booster game_queue args
begin
set dolphin = call get_dolphin args
while not call empty
begin
comment Try to get a game ID non-blocking.
try
begin
set game_id = get game_queue false
end
except Empty
begin
close dolphin
return
end
set spider = call GameSpider game_id dolphin
call crawl
end
close dolphin
e... | def spider_booster(game_queue, args):
dolphin = get_dolphin(args)
while not game_queue.empty():
# Try to get a game ID non-blocking.
try:
game_id = game_queue.get(False)
except queue.Empty:
dolphin.close()
return
spider = GameSpider(game_id, do... | Python | nomic_cornstack_python_v1 |
function parse_contents contents filename date
begin
comment length=len(contents)
set sign = call detect_sign contents
return call Div list call Img src=contents style=dict string width string 30% ; string height string 30% ; string margin string 10px call H4 sign
end function
comment HTML images accept base64 encoded ... | def parse_contents(contents, filename, date):
# length=len(contents)
sign=detect_sign(contents)
return html.Div([
# HTML images accept base64 encoded strings in the same format
# that is supplied by the upload
html.Img(src=contents, style={"width":'30%',"height":"30%",'margin': '10px... | Python | nomic_cornstack_python_v1 |
function read_data_block_size s
begin
set size = call unpack string !I call read_n_bytes s 4
set size = size at 0
debug format string read command block size {} size
return size
end function | def read_data_block_size(s):
size = struct.unpack('!I', read_n_bytes(s, 4))
size = size[0]
logging.debug("read command block size {}".format(size))
return size | Python | nomic_cornstack_python_v1 |
string Python Version: python3.6 OS: OS X El Capitan Version: 10.11.6 Usage: python 3.6 Assembler_Symbol.py filename.asm
from sys import argv
import os.path
import re
string Class Assembler
class Assembler extends object
begin
function __init__ self filename
begin
set filename = filename
set parse = parse
set intermedi... | '''
Python Version:
python3.6
OS:
OS X El Capitan
Version: 10.11.6
Usage:
python 3.6 Assembler_Symbol.py filename.asm
'''
from sys import argv
import os.path
import re
'''Class Assembler'''
class Assembler(object):
def __init__(self, filename):
self.filename = filename
self.parse... | Python | zaydzuhri_stack_edu_python |
function _second_heuristicA self j non_bounds
begin
if E at j > 0
begin
set i = argument minimum E at non_bounds
end
else
begin
set i = argument maximum E at non_bounds
end
if call _take_step i j
begin
return true
end
return false
end function | def _second_heuristicA(self, j, non_bounds):
if self.E[j] > 0:
i = cp.argmin(self.E[non_bounds])
else:
i = cp.argmax(self.E[non_bounds])
if self._take_step(i, j):
return True
return False | Python | nomic_cornstack_python_v1 |
function onBlock self data
begin
pass
end function | def onBlock(self, data) :
pass | Python | nomic_cornstack_python_v1 |
import django
import os
set default environ string DJANGO_SETTINGS_MODULE string portfolio.settings
setup django
import base64
import tempfile
from django.test import TestCase , override_settings
from portfolio.portfolio_projects.forms import CommentForm , ProjectForm
from django.core.files.uploadedfile import InMemory... | import django
import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'portfolio.settings')
django.setup()
import base64
import tempfile
from django.test import TestCase, override_settings
from portfolio.portfolio_projects.forms import CommentForm, ProjectForm
from django.core.files.uploadedfile import ... | Python | jtatman_500k |
for i in list 1 3 5
begin
set product = product * i
print product
end | for i in [1, 3, 5]:
product=product*i
print(product)
| Python | zaydzuhri_stack_edu_python |
function _calculate_momentum self mass vel
begin
comment p = m*v
return mass * vel
end function | def _calculate_momentum(self, mass, vel):
# p = m*v
return mass * vel | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
import sys
import pymysql
class Database
begin
string Database connection class.
function __init__ self config
begin
set host = db_host
set username = db_user
set password = db_password
set port = db_port
set dbname = db_name
set conn = none
end function... | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import sys
import pymysql
class Database:
"""Database connection class."""
def __init__(self, config):
self.host = config.db_host
self.username = config.db_user
self.password = config.db_password
self.port = config.db_port
... | Python | zaydzuhri_stack_edu_python |
comment -*-coding: utf-8 -*-
comment 移除有序数列中重复的元素，并返回剩余数组的长度
comment 用一个tail记录当前的最大长度
function removeDup nums
begin
if not nums
begin
return 0
end
set tail = 0
for i in range 1 length nums
begin
if nums at i != nums at tail
begin
set tail = tail + 1
set nums at tail = nums at i
end
end
return tail + 1
end function
comm... | # -*-coding: utf-8 -*-
#移除有序数列中重复的元素，并返回剩余数组的长度
#用一个tail记录当前的最大长度
def removeDup(nums):
if not nums:
return 0
tail =0
for i in range(1,len(nums)):
if nums[i]!=nums[tail]:
tail+=1
nums[tail]= nums[i]
return tail+1
# 数组中每个元素可以最多出现两次，求删除多余元素后数组的长度。
def remove... | Python | zaydzuhri_stack_edu_python |
comment Permuted multiples
comment Problem 52
comment It can be seen that the number, 125874, and its double, 251748, contain
comment exactly the same digits, but in a different order.
comment Find the smallest positive integer, x, such that 2x, 3x, 4x, 5x, and 6x,
comment contain the same digits.
import time
function ... | # Permuted multiples
# Problem 52
# It can be seen that the number, 125874, and its double, 251748, contain
# exactly the same digits, but in a different order.
# Find the smallest positive integer, x, such that 2x, 3x, 4x, 5x, and 6x,
# contain the same digits.
import time
def permuted_multiples(i):
digits = lis... | Python | zaydzuhri_stack_edu_python |
if a > b
begin
set t = a
set a = b
set b = t
end
print a b | if a>b:
t=a
a=b
b=t
print(a,b)
| Python | zaydzuhri_stack_edu_python |
from PIL import Image
import numpy as np
from scipy.ndimage import filters
import matplotlib.pyplot as plt
set im = array call convert string L
comment sobel导数滤波器
set imx = zeros shape
call sobel im 1 imx
set imy = zeros shape
call sobel im 0 imy
comment This is my trick with axis: just add the operation in your mind t... | from PIL import Image
import numpy as np
from scipy.ndimage import filters
import matplotlib.pyplot as plt
im = np.array(Image.open('../data/empire.jpg').convert('L'))
# sobel导数滤波器
imx = np.zeros(im.shape)
filters.sobel(im, 1, imx)
imy = np.zeros(im.shape)
filters.sobel(im, 0, imy)
# This is my trick with axis: just... | Python | zaydzuhri_stack_edu_python |
function get_object self
begin
return user
end function | def get_object(self):
return self.request.user | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*
import scipy.stats as st
import tensorflow as tf
import numpy as np
import sys
from functools import reduce
function log10 x
begin
set numerator = log x
set denominator = log call constant 10 dtype=dtype
return numerator / denominator
end function
function _tensor_size tensor
begin
from ope... | # -*- coding: utf-8 -*
import scipy.stats as st
import tensorflow as tf
import numpy as np
import sys
from functools import reduce
def log10(x):
numerator = tf.log(x)
denominator = tf.log(tf.constant(10, dtype=numerator.dtype))
return numerator / denominator
def _tensor_size(tensor):
from operator import mu... | Python | zaydzuhri_stack_edu_python |
function get_default_language
begin
set lang = get attribute settings string SOURCE_LANGUAGE_CODE LANGUAGE_CODE
set default = list comprehension l at 0 for l in LANGUAGES if l at 0 == lang
if length default == 0
begin
comment when not found, take first part ('en' instead of 'en-us')
set lang = split lang string - at 0
... | def get_default_language():
lang = getattr(settings, 'SOURCE_LANGUAGE_CODE', settings.LANGUAGE_CODE)
default = [l[0] for l in settings.LANGUAGES if l[0] == lang]
if len(default) == 0:
# when not found, take first part ('en' instead of 'en-us')
lang = lang.split('-')[0]
default ... | Python | nomic_cornstack_python_v1 |
function test_compute_rewards_closest_reward
begin
set device = string cuda
set float_dtype = call get_float device
set flock_size = 1
set n_frequent_seqs = 3
set n_cluster_centers = 5
set seq_length = 4
set seq_lookahead = 3
set context_size = 3
set n_providers = 1
comment region Setup
set buffer = call create_tp_buff... | def test_compute_rewards_closest_reward():
device = 'cuda'
float_dtype = get_float(device)
flock_size = 1
n_frequent_seqs = 3
n_cluster_centers = 5
seq_length = 4
seq_lookahead = 3
context_size = 3
n_providers = 1
# region Setup
buffer = create_tp_buffer(flock_size=flock_s... | Python | nomic_cornstack_python_v1 |
comment tuples are like lists can be used to store multiple values
comment tuples cannot be modified
set numbers = tuple 1 2 3 4 5 | # tuples are like lists can be used to store multiple values
# tuples cannot be modified
numbers = (1, 2, 3, 4, 5)
| Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
function seem_world_up_day str_arg
begin
call important_place_or_group str_arg
print string take_life_for_group
end function
function important_place_or_group str_arg
begin
print str_arg
end function
if __name__ == string __main__
begin
call seem_world_up_day string child_or_point
end | #! /usr/bin/env python
def seem_world_up_day(str_arg):
important_place_or_group(str_arg)
print('take_life_for_group')
def important_place_or_group(str_arg):
print(str_arg)
if __name__ == '__main__':
seem_world_up_day('child_or_point')
| Python | zaydzuhri_stack_edu_python |
function broadcast_inputs tensor_a tensor_b name=string broadcast_inputs
begin
from smaug.python.ops.array_ops import repeat
if length dims != length dims
begin
raise call ValueError string Cannot broadcast: tensor_a has % dimensions but tensor_b has %. % tuple length dims length dims
end
set multiples_a = ones length ... | def broadcast_inputs(tensor_a, tensor_b, name="broadcast_inputs"):
from smaug.python.ops.array_ops import repeat
if len(tensor_a.shape.dims) != len(tensor_b.shape.dims):
raise ValueError(
"Cannot broadcast: tensor_a has % dimensions but tensor_b has %." %
(len(tensor_a.shape.dims), len(tensor_b.... | Python | nomic_cornstack_python_v1 |
function get_clusters board col loose=false
begin
set clusters = list
set remaining_cells = list comprehension tuple i j for i in range s for j in range s
while remaining_cells
begin
set curr = remaining_cells at 0
if board at curr != col
begin
pop remaining_cells 0
continue
end
comment ._get_connections(*curr,loose=l... | def get_clusters(board,col,loose=False):
clusters = []
remaining_cells = [(i,j) for i in range(board.s) for j in range(board.s)]
while remaining_cells:
curr = remaining_cells[0]
if board[curr] != col:
remaining_cells.pop(0)
continue
conn = board._get_conn_rec(curr[0],curr[1],col,loose=loose) #._get_conne... | Python | zaydzuhri_stack_edu_python |
function is_ready_update self
begin
raise call UnityTrainerException string The is_ready_update method was not implemented.
end function | def is_ready_update(self):
raise UnityTrainerException("The is_ready_update method was not implemented.") | Python | nomic_cornstack_python_v1 |
import math as m
import random
comment Combinations of k events in a total of n events
comment Calculates n! / (k! * (n - k)!)
function combinations k n
begin
set tuple num den = tuple 1 1
for i in range k
begin
set num = n - i * num
set den = k - i * den
end
return num / den
end function
function permutations n k
begi... | import math as m
import random
# Combinations of k events in a total of n events
# Calculates n! / (k! * (n - k)!)
def combinations(k, n):
num, den = 1, 1
for i in range(k):
num = (n - i) * num
den = (k - i) * den
return num / den
def permutations(n, k):
num = 1
for i in range(k):... | Python | zaydzuhri_stack_edu_python |
function mime_form self
begin
return __mime_form
end function | def mime_form(self):
return self.__mime_form | Python | nomic_cornstack_python_v1 |
function load_Particle_From_mrcFileDir trainInputDir particle_size model_input_size coordinate_symbol mrc_number produce_negative=true negative_distance_ratio=0.5
begin
set mrc_file_all = list
set mrc_file_coordinate = list
set file_coordinate = list
if not is directory path trainInputDir
begin
print string Invalide... | def load_Particle_From_mrcFileDir(trainInputDir, particle_size, model_input_size, coordinate_symbol, mrc_number, produce_negative = True, negative_distance_ratio = 0.5):
mrc_file_all = []
mrc_file_coordinate = []
file_coordinate = []
if not os.path.isdir(trainInputDir):
prin... | Python | nomic_cornstack_python_v1 |
string Generate some data
with open string data1.bin string wb as f
begin
for _ in range 5
begin
for a in range 200
begin
write f bytes list a 1 a
end
end
end
with open string data2.bin string wb as f
begin
write f bytes list 255
for _ in range 10
begin
for a in range 200
begin
write f bytes list a 1 a
end
end
end | """ Generate some data """
with open('data1.bin', 'wb') as f:
for _ in range(5):
for a in range(200):
f.write(bytes([a, 1, a]))
with open('data2.bin', 'wb') as f:
f.write(bytes([0xff]))
for _ in range(10):
for a in range(200):
f.write(bytes([a, 1, a]))
| Python | zaydzuhri_stack_edu_python |
import requests
from flask import Flask , request , jsonify , send_from_directory
set app = call Flask __name__
import pandas as pd
import quandl
import math
import random
import os
import numpy as np
from sklearn import preprocessing , cross_validation , svm
from sklearn.linear_model import LinearRegression
decorator ... | import requests
from flask import Flask, request, jsonify, send_from_directory
app = Flask(__name__)
import pandas as pd
import quandl
import math
import random
import os
import numpy as np
from sklearn import preprocessing, cross_validation, svm
from sklearn.linear_model import LinearRegression
@app.route('getstockd... | Python | zaydzuhri_stack_edu_python |
function job_output_type self
begin
return get pulumi self string job_output_type
end function | def job_output_type(self) -> str:
return pulumi.get(self, "job_output_type") | Python | nomic_cornstack_python_v1 |
function select_bill_and_audit_submenu self
begin
call select_submenu home_menu_locator bill_and_audit_submenu_locator
end function | def select_bill_and_audit_submenu(self):
self.select_submenu(self.home_menu_locator, self.bill_and_audit_submenu_locator) | Python | nomic_cornstack_python_v1 |
function print_datapoint parts
begin
set t = call fromtimestamp parts at 0
set humid = parts at 1
set temp_c = parts at 2
set temp_f = parts at 3
set heat_c = parts at 4
set heat_f = parts at 5
end function | def print_datapoint(parts):
t = datetime.fromtimestamp(parts[0])
humid = parts[1]
temp_c = parts[2]
temp_f = parts[3]
heat_c = parts[4]
heat_f = parts[5] | Python | nomic_cornstack_python_v1 |
function sample_observations self
begin
set sample_dict = dict
for obs in observations
begin
set domain = properties at string domain
comment If probabilistic, sample from the true distribution
if type == string probabilistic
begin
set probabilities = properties at string probability
end
else
begin
comment If uncontro... | def sample_observations(self):
sample_dict={}
for obs in self.observations:
domain = obs.properties['domain']
#If probabilistic, sample from the true distribution
if obs.type=='probabilistic':
probabilities = obs.properties['probability']
#... | Python | nomic_cornstack_python_v1 |
function url self
begin
return get pulumi self string url
end function | def url(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "url") | Python | nomic_cornstack_python_v1 |
function _filter_for_similar_ligands_2d ligand structures
begin
import pandas as pd
from openeye import oechem
from rdkit import Chem , RDLogger
from rdkit.Chem import AllChem , DataStructs
comment disable RDKit logging
call DisableLog string rdApp.*
debug string Converting OpenEye molecule to RDKit molecule ...
set li... | def _filter_for_similar_ligands_2d(
ligand: oechem.OEGraphMol, structures: pd.DataFrame
) -> pd.DataFrame:
import pandas as pd
from openeye import oechem
from rdkit import Chem, RDLogger
from rdkit.Chem import AllChem, DataStructs
RDLogger.DisableLog("rdApp.*") # di... | Python | nomic_cornstack_python_v1 |
function _handle_PacketIn self event
begin
comment This is the parsed packet data.
set packet = parsed
if not parsed
begin
warning string Ignoring incomplete packet
return
end
comment The actual ofp_packet_in message.
set packet_in = ofp
call act_like_switch packet packet_in
end function | def _handle_PacketIn(self, event):
packet = event.parsed # This is the parsed packet data.
if not packet.parsed:
log.warning("Ignoring incomplete packet")
return
packet_in = event.ofp # The actual ofp_packet_in message.
self.act_like_switch(packet, packet_in) | Python | nomic_cornstack_python_v1 |
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