file_name large_stringlengths 4 140 | prefix large_stringlengths 0 39k | suffix large_stringlengths 0 36.1k | middle large_stringlengths 0 29.4k | fim_type large_stringclasses 4
values |
|---|---|---|---|---|
mod.rs | //! `types` module contains types necessary for Fluent runtime
//! value handling.
//! The core struct is [`FluentValue`] which is a type that can be passed
//! to the [`FluentBundle::format_pattern`](crate::bundle::FluentBundle) as an argument, it can be passed
//! to any Fluent Function, and any function may return i... |
}
impl<'source> From<&'source str> for FluentValue<'source> {
fn from(s: &'source str) -> Self {
FluentValue::String(s.into())
}
}
impl<'source> From<Cow<'source, str>> for FluentValue<'source> {
fn from(s: Cow<'source, str>) -> Self {
FluentValue::String(s)
}
}
impl<'source, T> From... | {
FluentValue::String(s.into())
} | identifier_body |
mod.rs | //! `types` module contains types necessary for Fluent runtime
//! value handling.
//! The core struct is [`FluentValue`] which is a type that can be passed
//! to the [`FluentBundle::format_pattern`](crate::bundle::FluentBundle) as an argument, it can be passed
//! to any Fluent Function, and any function may return i... | match self {
FluentValue::String(s) => w.write_str(s),
FluentValue::Number(n) => w.write_str(&n.as_string()),
FluentValue::Custom(s) => w.write_str(&scope.bundle.intls.stringify_value(&**s)),
FluentValue::Error => Ok(()),
FluentValue::None => Ok(()),
... | }
} | random_line_split |
simplesnake.js | /**********************************************************************
*
* Simple Snake
*
* This code is designed to illustrate the non-intuitive approach to an
* implementation, building a snake game as a cellular automaton rather
* than the more obvious, set of entities (OOP) or a number of sets
* of proce... |
while(length > 0){
var c = this._cells[x + y * this.field_size.width]
c.classList.add('wall')
c.style.backgroundColor = ''
x += direction == 'e' ?
1
: direction == 'w' ?
-1
: 0
x = x < 0 ?
this.field_size.width + x
: x % this.field_size.width
y += directi... | length = length
|| Math.random() * this.field_size.width
| random_line_split |
simplesnake.js | /**********************************************************************
*
* Simple Snake
*
* This code is designed to illustrate the non-intuitive approach to an
* implementation, building a snake game as a cellular automaton rather
* than the more obvious, set of entities (OOP) or a number of sets
* of proce... | (color, age){
score = snake.__top_score =
(!snake.__top_score || snake.__top_score.score < age) ?
{
color: color || '',
score: age || 0,
}
: snake.__top_score
snake._field.setAttribute('score', score.score)
snake._field.setAttribute('snake', score.color)
snake._field.setAttri... | showScore | identifier_name |
simplesnake.js | /**********************************************************************
*
* Simple Snake
*
* This code is designed to illustrate the non-intuitive approach to an
* implementation, building a snake game as a cellular automaton rather
* than the more obvious, set of entities (OOP) or a number of sets
* of proce... |
function digitizeBackground(snake, walls){
snake._cells.forEach(function(c){
var v = Math.floor(Math.random() * 6)
// bg cell...
c.classList.length == 0 ?
(c.style.backgroundColor =
`rgb(${255 - v}, ${255 - v}, ${255 - v})`)
// wall...
: walls && c.classList.contains('wall') ?
(c.style.... | {
document.body.classList.remove('hints') } | identifier_body |
simplesnake.js | /**********************************************************************
*
* Simple Snake
*
* This code is designed to illustrate the non-intuitive approach to an
* implementation, building a snake game as a cellular automaton rather
* than the more obvious, set of entities (OOP) or a number of sets
* of proce... | else {
that.snakeKilled(color, age+2) }
// do the move...
if(move){
next.tick = tick
next.style.backgroundColor = color
next.classList.add('snake')
next.age = age + 1
next.direction = direction }
delete cell.direction } }
cell.tick = tick })
this.t... | {
move = true
// other -> kill...
} | conditional_block |
realtimeLogger.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#### test ####
# import random
##############
import sys
import os
from ADS1256_definitions import *
from pipyadc import ADS1256
import time, datetime
import csv
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
import matplotlib as mpl
mpl.rc... |
# print(data[990])
df = df_maker(data,C_mode)
# 折れ線グラフを再描画する
ax_1ch.yaxis.grid(True)
ax_2ch.yaxis.grid(True)
ax_3ch.yaxis.grid(True)
ax_4ch.yaxis.grid(True)
t_1ch = df[0]
d_1ch = df[1]
d_2ch = df[2]
d_3ch = df[3]
d_4ch = df[4]
ax_1ch.set_ylabel('X [nT]', f... | print("redraw") | random_line_split |
realtimeLogger.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#### test ####
# import random
##############
import sys
import os
from ADS1256_definitions import *
from pipyadc import ADS1256
import time, datetime
import csv
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
import matplotlib as mpl
mpl.rc... | (time_dat,dat,Cutoff):
out = {'time':[],'data':[]}
now_time = eliminate_f(time_dat[0])
buf_t = []
buf_d = []
i = -1
try:
while(1):
i += 1
buf_t.append(time_dat[i])
buf_d.append(dat[i])
if i+1 == len(dat):
clean_d... | medianFilter | identifier_name |
realtimeLogger.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#### test ####
# import random
##############
import sys
import os
from ADS1256_definitions import *
from pipyadc import ADS1256
import time, datetime
import csv
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
import matplotlib as mpl
mpl.rc... |
return df_list['Time'],df_list['1ch'],df_list['2ch'],df_list['3ch'],df_list['4ch']
def get_Srate(time_dat):
now_time = eliminate_f(time_dat[0])
i = 0
try:
#### load head ####
while(1):
i += 1
if now_time != eliminate_f(time_dat[i]):
now_time = e... | df_list['Time'].append(dataday + row[0])
df_list['1ch'].append(float(row[1]))
df_list['2ch'].append(float(row[2]))
df_list['3ch'].append(float(row[3]))
df_list['4ch'].append(float(row[4])) | conditional_block |
realtimeLogger.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#### test ####
# import random
##############
import sys
import os
from ADS1256_definitions import *
from pipyadc import ADS1256
import time, datetime
import csv
import numpy as np
from matplotlib import pyplot as plt
import pandas as pd
import matplotlib as mpl
mpl.rc... |
def df_maker(f,C_mode):
df_list = {'Time':[],'1ch':[],'2ch':[],'3ch':[],'4ch':[]}
index = 0
for row in f:#row is list
if index == 0:
dataday = row[0]
index = 1
else:
if row[0] != 0:
df_list['Time'].append(dataday + row[0])
... | if not os.path.isdir(path):
os.makedirs(path) | identifier_body |
validation.py | """Swagger 2.0 validation
see https://github.com/swagger-api/swagger-editor/tree/master/src/plugins/validate-semantic
for semantic rules (i.e. beyond teh JSONSchema validation of the swagger)"""
import json
import numbers
import re
from itertools import groupby
from pathlib import Path
from typing import Set, Dict, Tu... | try:
rt, obj = reference[2:].split("/")
except ValueError:
events.add(
ReferenceInvalidSyntax(
path=path, reason=f"reference {reference} not of the form '#/section/item'"
)
)
... |
for _, reference, path in get_elements(swagger, ref_jspath):
# handle only local references
if reference.startswith("#/"):
# decompose reference (error if not possible) | random_line_split |
validation.py | """Swagger 2.0 validation
see https://github.com/swagger-api/swagger-editor/tree/master/src/plugins/validate-semantic
for semantic rules (i.e. beyond teh JSONSchema validation of the swagger)"""
import json
import numbers
import re
from itertools import groupby
from pathlib import Path
from typing import Set, Dict, Tu... |
return events
def detect_duplicate_operationId(swagger: Dict):
"""Return list of Action with duplicate operationIds"""
events = set()
# retrieve all operationIds
operationId_jspath = JSPATH_OPERATIONID
def get_operationId_name(name_value_path):
return name_value_path[1]
operat... | if reference.startswith("#/"):
# decompose reference (error if not possible)
try:
rt, obj = reference[2:].split("/")
except ValueError:
events.add(
ReferenceInvalidSyntax(
path=path, reason=f"reference {refer... | conditional_block |
validation.py | """Swagger 2.0 validation
see https://github.com/swagger-api/swagger-editor/tree/master/src/plugins/validate-semantic
for semantic rules (i.e. beyond teh JSONSchema validation of the swagger)"""
import json
import numbers
import re
from itertools import groupby
from pathlib import Path
from typing import Set, Dict, Tu... |
def check_parameters(swagger: Dict):
"""
Check parameters for:
- duplicate items in enum
- default parameter is in line with type when type=string
:param swagger:
:return:
"""
events = set()
parameters_jspath = JSPATH_PARAMETERS
for _, param, path in get_elements(swagger, p... | """Check a parameter structure
For a parameter, the check for consistency are on:
- required and default
- type/format and default
- enum
"""
events = set()
name = param.get("name", "unnamed-parameter")
required = param.get("required", False)
default = param.get("default")
_typ... | identifier_body |
validation.py | """Swagger 2.0 validation
see https://github.com/swagger-api/swagger-editor/tree/master/src/plugins/validate-semantic
for semantic rules (i.e. beyond teh JSONSchema validation of the swagger)"""
import json
import numbers
import re
from itertools import groupby
from pathlib import Path
from typing import Set, Dict, Tu... | (swagger: Dict):
"""
Find reference in paths, for /definitions/ and /responses/ /securityDefinitions/.
Follow from these, references to other references, till no more added.
:param swagger:
:return:
"""
events = set()
ref_jspath = JSPATH_REFERENCES
for _, reference, path in get_e... | check_references | identifier_name |
staged_file.rs | // Copyright 2022 The Fuchsia Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
use {
fidl_fuchsia_io as fio, fuchsia_zircon as zx,
rand::{thread_rng, Rng},
tracing::warn,
};
const TEMPFILE_RANDOM_LENGTH: usize = 8usize;
... | &temp_filename,
fio::OpenFlags::RIGHT_READABLE
| fio::OpenFlags::RIGHT_WRITABLE
| fio::OpenFlags::CREATE,
)
.await?;
Ok(StagedFile { dir_proxy, temp_filename, file_proxy })
}
/// Writes data to the backing staged file proxy.
/... | let temp_filename = generate_tempfile_name(tempfile_prefix);
let file_proxy = fuchsia_fs::directory::open_file(
dir_proxy, | random_line_split |
staged_file.rs | // Copyright 2022 The Fuchsia Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
use {
fidl_fuchsia_io as fio, fuchsia_zircon as zx,
rand::{thread_rng, Rng},
tracing::warn,
};
const TEMPFILE_RANDOM_LENGTH: usize = 8usize;
... |
}
}
}
if failures.is_empty() {
Ok(())
} else {
Err(failures)
}
}
}
/// Generates a temporary filename using |thread_rng| to append random chars to
/// a given |prefix|.
fn generate_tempfile_name(prefix: &str) -> String {
// G... | {
if let Err(unlink_err) = unlink_res {
failures.push(StagedFileError::UnlinkError(zx::Status::from_raw(
unlink_err,
)));
}
} | conditional_block |
staged_file.rs | // Copyright 2022 The Fuchsia Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
use {
fidl_fuchsia_io as fio, fuchsia_zircon as zx,
rand::{thread_rng, Rng},
tracing::warn,
};
const TEMPFILE_RANDOM_LENGTH: usize = 8usize;
... | {
/// Invalid arguments.
#[error("Invalid arguments to create a staged file: {0}")]
InvalidArguments(String),
/// Failed to open a file or directory.
#[error("Failed to open: {0}")]
OpenError(#[from] fuchsia_fs::node::OpenError),
/// Failed during a FIDL call.
#[error("Failed during F... | StagedFileError | identifier_name |
staged_file.rs | // Copyright 2022 The Fuchsia Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
use {
fidl_fuchsia_io as fio, fuchsia_zircon as zx,
rand::{thread_rng, Rng},
tracing::warn,
};
const TEMPFILE_RANDOM_LENGTH: usize = 8usize;
... |
#[test]
fn test_generate_tempfile_name() {
let name1 = generate_tempfile_name("temp-12345");
let name2 = generate_tempfile_name("temp-12345");
let prefix = "temp-12345-";
assert!(name1.starts_with(prefix));
assert!(name2.starts_with(prefix));
assert_eq!(name1.le... | {
let tmp_dir = TempDir::new().unwrap();
let dir = fuchsia_fs::directory::open_in_namespace(
tmp_dir.path().to_str().unwrap(),
fio::OpenFlags::RIGHT_READABLE | fio::OpenFlags::RIGHT_WRITABLE,
)
.expect("could not open temp dir");
// Write a variety of sta... | identifier_body |
python3 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright © 2013 Martin Ueding <dev@martin-ueding.de>
import argparse
import matplotlib.pyplot as pl
import numpy as np
import scipy.optimize as op
from prettytable import PrettyTable
__docformat__ = "restructuredtext en"
# Sensitivität der Thermosäule
S = 30e-6
def phi | :
return U / S
def main():
options = _parse_args()
V = 1000
data = np.genfromtxt("a-leer.csv", delimiter="\t")
t = data[:,0]
U = data[:,1] / V / 1000
U_err = 0.7e-3 / V
offset = np.mean(U[-3:])
x = np.linspace(min(t), max(t))
y = np.ones(x.size) * offset
pl.plot(x, y * 1... | f(U) | identifier_name |
python3 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright © 2013 Martin Ueding <dev@martin-ueding.de>
import argparse
import matplotlib.pyplot as pl
import numpy as np
import scipy.optimize as op
from prettytable import PrettyTable
__docformat__ = "restructuredtext en"
# Sensitivität der Thermosäule
S = 30e-6
def phif... | glanz_popt, glanz_pconv = op.curve_fit(boltzmann, glanz[:,0], glanz_phi)
matt_popt, matt_pconv = op.curve_fit(boltzmann, matt[:,0], matt_phi)
schwarz_popt, schwarz_pconv = op.curve_fit(boltzmann, schwarz[:,0], schwarz_phi)
weiss_popt, weiss_pconv = op.curve_fit(boltzmann, weiss[:,0], weiss_phi)
glanz_... | n epsilon * sigma * T**4 + offset
| identifier_body |
python3 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright © 2013 Martin Ueding <dev@martin-ueding.de>
import argparse
import matplotlib.pyplot as pl
import numpy as np
import scipy.optimize as op
from prettytable import PrettyTable
__docformat__ = "restructuredtext en"
# Sensitivität der Thermosäule
S = 30e-6
def phif... | return parser.parse_args()
if __name__ == "__main__":
main() | random_line_split | |
python3 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright © 2013 Martin Ueding <dev@martin-ueding.de>
import argparse
import matplotlib.pyplot as pl
import numpy as np
import scipy.optimize as op
from prettytable import PrettyTable
__docformat__ = "restructuredtext en"
# Sensitivität der Thermosäule
S = 30e-6
def phif... | le
print
epsilon = 0.1
x = np.linspace(min([min(x) for x in [glanz[:,0], matt[:,0], schwarz[:,0],
weiss[:,0]]]),
max([max(x) for x in [glanz[:,0], matt[:,0], schwarz[:,0],
weiss[:,0]]]),
... | row)
print weiss_tab | conditional_block |
table1.py |
"""
Compute joint probabilities and pseudo-likelihood estimate for a Bayes Net according to
random selection semantics from a database.
Written in haste---bugs likely remain! It's also been eight months since I wrote real
python, so some things might be more concisely expressed using standard idioms.
... |
def __str__ (this):
return this.functor+"("+",".join(this.varList)+") = "+str(this.val)
def __repr__ (this):
return str(this)
""" No used, no more
def match (this, node, grounding):
if not node.isLiteralNode():
raise Exception ("Attempt to match nonprobabil... | this.functor = functor
this.varList = varList
this.val = val | identifier_body |
table1.py |
"""
Compute joint probabilities and pseudo-likelihood estimate for a Bayes Net according to
random selection semantics from a database.
Written in haste---bugs likely remain! It's also been eight months since I wrote real
python, so some things might be more concisely expressed using standard idioms.
... | (this, varList):
this.varList = varList
def val (this, var):
for (v, ground) in this.varList:
if v == var:
return ground
else:
raise Exception ("Var not ground: " + var)
def groundNode (this, node):
gndList = []
for var in node.v... | __init__ | identifier_name |
table1.py |
"""
Compute joint probabilities and pseudo-likelihood estimate for a Bayes Net according to
random selection semantics from a database.
Written in haste---bugs likely remain! It's also been eight months since I wrote real
python, so some things might be more concisely expressed using standard idioms.
... |
else:
return range[0]
def atomList(joints):
""" Return the atoms, derived from the first entry in the joint probability table """
assert len(joints) > 0
first = joints[0]
functorList = first[1][:-2] # Second element of row, last two elements of that are joint prob and log prob
atomList... | return range[1] | conditional_block |
table1.py | """
Compute joint probabilities and pseudo-likelihood estimate for a Bayes Net according to
random selection semantics from a database.
Written in haste---bugs likely remain! It's also been eight months since I wrote real
python, so some things might be more concisely expressed using standard idioms.
... | this.prob = prob
def __str__(this):
return "P("+str(this.child)+" | "+",".join([str(n) for n in this.parentList])+") = "+str(this.prob)
class Grounding (object):
""" A specific assignment of constants to variables """
def __init__ (this, varList):
this.varList = varList
def ... | """ A rule specifying a conditional probability (the class is likely misnamed) """
def __init__ (this, child, parentList, prob):
this.child = child
this.parentList = parentList | random_line_split |
result.rs | //! Operation result structures and helpers.
//!
//! Most LDAP operations return an [`LdapResult`](struct.LdapResult.html). This module
//! contains its definition, as well as that of a number of wrapper structs and
//! helper methods, which adapt LDAP result and error handling to be a closer
//! match to Rust conventi... | (pub LdapResult);
impl CompareResult {
/// If the result code is 5 (compareFalse) or 6 (compareTrue), return the corresponding
/// boolean value wrapped in `Ok()`, otherwise wrap the `LdapResult` part in an `LdapError`.
pub fn equal(self) -> Result<bool> {
match self.0.rc {
5 => Ok(fals... | CompareResult | identifier_name |
result.rs | //! Operation result structures and helpers.
//!
//! Most LDAP operations return an [`LdapResult`](struct.LdapResult.html). This module
//! contains its definition, as well as that of a number of wrapper structs and
//! helper methods, which adapt LDAP result and error handling to be a closer
//! match to Rust conventi... | /// interface, but there are scenarios where this would preclude intentional
/// incorporation of error conditions into query design. Instead, the struct
/// implements helper methods, [`success()`](#method.success) and
/// [`non_error()`](#method.non_error), which may be used for ergonomic error
/// handling when simp... | /// This structure faithfully replicates the components dictated by the standard,
/// and is distinctly C-like with its reliance on numeric codes for the indication
/// of outcome. It would be tempting to hide it behind an automatic `Result`-like | random_line_split |
graph_views.py | # from re import X
# from django.db.models import Q
# from django.http import request
# from django.http.response import HttpResponse # Qオブジェクトは、モデルのデータの中からor検索をする
from django.shortcuts import get_object_or_404, redirect, render
# from django.views import generic
# from plotly import graph_objs
# from .forms import Re... | and test_data.count() == 0:
return redirect('study:two_input')
# 今日の日付を取得
base = datetime.datetime.today()
print('base= ', base)
# ■■■■■■ 勉強時間入力データの加工 ■■■■■■
# record_data = Record.objects.filter(author=request.user).all()
if record_data.count() >0:
record_df = read_frame(record_... | nt() == 0 | identifier_name |
graph_views.py | # from re import X
# from django.db.models import Q
# from django.http import request
# from django.http.response import HttpResponse # Qオブジェクトは、モデルのデータの中からor検索をする
from django.shortcuts import get_object_or_404, redirect, render
# from django.views import generic
# from plotly import graph_objs
# from .forms import Re... | 'author', 'created_at', 'category', 'time'])
record_df = record_df.replace(
{'国語': '1', '数学': '2', '英語': '3', '理科': '4', '社会': '5'})
record_df['date'] = pd.to_datetime(record_df['created_at'].dt.strftime("%Y-%m-%d"))
record_df['time'] = record_df['time'].astype(int) # ... | _data, fieldnames=[
| conditional_block |
graph_views.py | # from re import X
# from django.db.models import Q
# from django.http import request
# from django.http.response import HttpResponse # Qオブジェクトは、モデルのデータの中からor検索をする
from django.shortcuts import get_object_or_404, redirect, render
# from django.views import generic
# from plotly import graph_objs
# from .forms import Re... | 'y': 0.94,
'yanchor': 'bottom',
'yref': 'paper'},
{'font': {'size': 14},
'showarrow': False,
'text': '学年順位',
'x': 0.05,
'xref': 'paper',
... | 'text': '学習記録',
'x': 0.05,
'xref': 'paper', | random_line_split |
graph_views.py | # from re import X
# from django.db.models import Q
# from django.http import request
# from django.http.response import HttpResponse # Qオブジェクトは、モデルのデータの中からor検索をする
from django.shortcuts import get_object_or_404, redirect, render
# from django.views import generic
# from plotly import graph_objs
# from .forms import Re... |
print('base= ', base)
# ■■■■■■ 勉強時間入力データの加工 ■■■■■■
# record_data = Record.objects.filter(author=request.user).all()
if record_data.count() >0:
record_df = read_frame(record_data, fieldnames=[
'author', 'created_at', 'category', 'time'])
record_df = record_df.rep... | identifier_body | |
bytesDemo.go | package main
import (
"bytes"
"fmt"
"unicode"
)
func main() {
//compareDemo()
//containsDemo()
//containsAnyDemo()
//containsRuneDemo()
//countDemo()
//equalDemo()
//equalFoldDemo()
//fieldsDemo()
//fieldsFuncDemo()
//hasPrefixDemo()
//hasSuffixDemo()
//indexFuncDemo()
//jsonDemo()
//lastIndexDemo()
... | une) bool {
if c == '世' {
return true
}
return false
}
fmt.Println(bytes.LastIndexFunc([]byte("Hello, 世界"), f2))
fmt.Println(bytes.LastIndexFunc([]byte("Hello, world"), f2))
}
//21 func Map(mapping func(r rune) rune, s []byte) []byte //做替换单个字符
//Map 根据映射函数返回字节切片s的所有字符修改后的副本。如果映射返回负值，
// 则字符将从字符串中删除而不会被替换。
... | 2 := func(c r | identifier_name |
bytesDemo.go | package main
import (
"bytes"
"fmt"
"unicode"
)
func main() {
//compareDemo()
//containsDemo()
//containsAnyDemo()
//containsRuneDemo()
//countDemo()
//equalDemo()
//equalFoldDemo()
//fieldsDemo()
//fieldsFuncDemo()
//hasPrefixDemo()
//hasSuffixDemo()
//indexFuncDemo()
//jsonDemo()
//lastIndexDemo()
... | ello, 世界"), f2))
fmt.Println(bytes.IndexFunc([]byte("Hello, world"), f2))
}
//16 func Join 指定分隔符拼接byte数组
//func Join(s [][]byte, sep []byte) []byte
//Join 连接 s的元素以创建一个新的字节片。分隔符 sep 放置在生成的切片中的元素之间。
func jsonDemo() {
s := [][]byte{[]byte("foo"), []byte("bar"), []byte("baz")}
fmt.Printf("%s", bytes.Join(s, []byte(", "... | .IndexFunc([]byte("H | conditional_block |
bytesDemo.go | package main
import (
"bytes"
"fmt"
"unicode"
)
func main() {
//compareDemo()
//containsDemo()
//containsAnyDemo()
//containsRuneDemo()
//countDemo()
//equalDemo()
//equalFoldDemo()
//fieldsDemo()
//fieldsFuncDemo()
//hasPrefixDemo()
//hasSuffixDemo()
//indexFuncDemo()
//jsonDemo()
//lastIndexDemo()
... |
//29 func Title 转大写
//func Title(s []byte) []byte
//标题返回一个 s 的副本，其中包含所有 Unicode 字母，这些字母开始被映射到其标题大小写。
//BUG(rsc)：规则标题用于单词边界的规则不能正确处理 Unicode 标点符号。
func titleDemo() {
//ToTitle 全部大写 title首字母大写
fmt.Printf("%s", bytes.ToTitle([]byte("her royal highness")))
}
//30 func ToLower 转小写
//func ToLower(s []byte) []byte
//To... | //28 SplitAfterN 参考SplitN
//func SplitAfterN(s, sep []byte, n int) [][]byte
//在每个 sep 实例之后，SplitAfterN 将 s 分割成子项，并返回这些子项的一部分。
// 如果 sep 为空，则 SplitAfterN 在每个 UTF-8 序列之后分割。计数确定要返回的子备份数量： | random_line_split |
bytesDemo.go | package main
import (
"bytes"
"fmt"
"unicode"
)
func main() {
//compareDemo()
//containsDemo()
//containsAnyDemo()
//containsRuneDemo()
//countDemo()
//equalDemo()
//equalFoldDemo()
//fieldsDemo()
//fieldsFuncDemo()
//hasPrefixDemo()
//hasSuffixDemo()
//indexFuncDemo()
//jsonDemo()
//lastIndexDemo()
... | byte
//Join 连接 s的元素以创建一个新的字节片。分隔符 sep 放置在生成的切片中的元素之间。
func jsonDemo() {
s := [][]byte{[]byte("foo"), []byte("bar"), []byte("baz")}
fmt.Printf("%s", bytes.Join(s, []byte(", ")))
}
//17 func LastIndex
//func LastIndex(s, sep []byte) int
//LastIndex 返回 s 中最后一个 sep 实例的索引，如果 sep 中不存在 s，则返回-1。
func lastIndexDemo() {
fmt... | xFuncDemo() {
f2 := func(c rune) bool {
return unicode.Is(unicode.Han, c)
}
fmt.Println(bytes.IndexFunc([]byte("Hello, 世界"), f2))
fmt.Println(bytes.IndexFunc([]byte("Hello, world"), f2))
}
//16 func Join 指定分隔符拼接byte数组
//func Join(s [][]byte, sep []byte) [] | identifier_body |
dom-utils.ts | import { Matrix4 } from "three/src/math/Matrix4"
function id(element: HTMLElement) {
return element.id ? `#${element.id}` : ''
}
function classes(element: HTMLElement) |
function nthChild(element: HTMLElement) {
let childNumber = 0
const childNodes = element.parentNode!.childNodes
for (const node of childNodes) {
if (node.nodeType === Node.ELEMENT_NODE) ++childNumber
if (node === element) return `:nth-child('${childNumber}')`
}
}
function attributes(element: HTMLElem... | {
let classSelector = ''
const classList = element.classList
for (const c of classList) {
classSelector += '.' + c
}
return classSelector
} | identifier_body |
dom-utils.ts | import { Matrix4 } from "three/src/math/Matrix4"
function id(element: HTMLElement) {
return element.id ? `#${element.id}` : ''
}
function classes(element: HTMLElement) {
let classSelector = ''
const classList = element.classList
for (const c of classList) {
classSelector += '.' + c
}
return classSelec... |
}
export class Bounds {
left = 0
top = 0
width = 0
height = 0
copy(rect: Bounds) {
this.top = rect.top
this.left = rect.left
this.width = rect.width
this.height = rect.height
return this
}
}
export class Edges {
left = 0
top = 0
right = 0
bottom = 0
copy(rect: Edges) {
t... | {
sheet.addRule(selector, rules, index)
} | conditional_block |
dom-utils.ts | import { Matrix4 } from "three/src/math/Matrix4"
function id(element: HTMLElement) {
return element.id ? `#${element.id}` : ''
}
function classes(element: HTMLElement) {
let classSelector = ''
const classList = element.classList
for (const c of classList) {
classSelector += '.' + c
}
return classSelec... | top += parseFloat(computedStyle.borderTopWidth) || 0
left += parseFloat(computedStyle.borderLeftWidth) || 0
offsetParent = el.offsetParent as HTMLElement
}
prevComputedStyle = computedStyle
}
// if (prevComputedStyle.position === 'relative' || prevComputedStyle.position === 'static') {
... | left += el.offsetLeft | random_line_split |
dom-utils.ts | import { Matrix4 } from "three/src/math/Matrix4"
function id(element: HTMLElement) {
return element.id ? `#${element.id}` : ''
}
function classes(element: HTMLElement) {
let classSelector = ''
const classList = element.classList
for (const c of classList) {
classSelector += '.' + c
}
return classSelec... | (bounds: Bounds) {
if (!viewportTester.parentNode) document.documentElement.append(viewportTester)
bounds.left = pageXOffset
bounds.top = pageYOffset
bounds.width = viewportTester.offsetWidth
bounds.height = viewportTester.offsetHeight
return bounds
}
const viewportTester = document.createElement('div')
vie... | getViewportBounds | identifier_name |
Legend.js | /**
* Defines a legend for a chart's series.
* The 'chart' member must be set prior to rendering.
* The legend class displays a list of legend items each of them related with a
* series being rendered. In order to render the legend item of the proper series
* the series configuration object must have {@link Ext.ch... | (this.getPopup() ? this.getSheet() : this.getView()).show();
},
/**
* Hides the legend if it is currently shown.
*/
hide: function () {
(this.getPopup() ? this.getSheet() : this.getView()).hide();
},
/**
* @protected Fired when two legend items are combined via drag-... | /**
* Shows the legend if it is currently hidden.
*/
show: function () { | random_line_split |
Legend.js | /**
* Defines a legend for a chart's series.
* The 'chart' member must be set prior to rendering.
* The legend class displays a list of legend items each of them related with a
* series being rendered. In order to render the legend item of the proper series
* the series configuration object must have {@link Ext.ch... | else {
view.hide();
}
}
},
/**
* Calculate and return the number of pixels that should be reserved for the legend along
* its edge. Only returns a non-zero value if the legend is positioned to one of the four
* named edges, and if it is not {@link #dock docke... | {
// Calculate the natural size
view.show();
view.element.setSize(isVertical ? undef : null, isVertical ? null : undef); //clear fixed scroller length
legendWidth = view.element.getWidth();
legendHeight = view.element.getHeight();
... | conditional_block |
deflate.rs | use super::Source;
use super::huffman::Huffman;
use super::bitstream::BitStream;
use super::bufferedwriter::BufferedWriter;
struct DynamicBlock {
// If we encounter a repeat, we should set our state so that we keep producing
// repeats until they run out, instead of reading from the bit stream.
repeats_remaining: u... |
}
impl <'a> Source<Option<u8>> for DEFLATEReader<'a> {
fn next(self: &mut DEFLATEReader<'a>) -> Option<u8> {
// We set this field when we have finished with a block or haven't started yet
// this field tells us that we should begin reading a new block which involves
// decoding all the headers and huffman tree... | {
DEFLATEReader{
buffered_writer: BufferedWriter::new(),
bit_stream: BitStream::new(input),
has_seen_final_block: false,
current_block: None,
}
} | identifier_body |
deflate.rs | use super::Source;
use super::huffman::Huffman;
use super::bitstream::BitStream;
use super::bufferedwriter::BufferedWriter;
struct DynamicBlock {
// If we encounter a repeat, we should set our state so that we keep producing
// repeats until they run out, instead of reading from the bit stream.
repeats_remaining: u... | <'a> {
// The following two fields are used to manage input/output
buffered_writer: BufferedWriter,
bit_stream: BitStream<'a>,
// The following two fields control if we read another block
has_seen_final_block: bool,
current_block: Option<DynamicBlock>,
}
const BTYPE_DYNAMIC : u8 = 0b10;
impl <'a> DEFLATEReader... | DEFLATEReader | identifier_name |
deflate.rs | use super::Source;
use super::huffman::Huffman;
use super::bitstream::BitStream;
use super::bufferedwriter::BufferedWriter;
struct DynamicBlock {
// If we encounter a repeat, we should set our state so that we keep producing
// repeats until they run out, instead of reading from the bit stream.
repeats_remaining: u... | println!("Literal/Length Huffman = {:?}", result);
result
}
fn read_distance_huffman(length: usize, input_stream: &mut BitStream, code_length_huffman: &Huffman<usize>) -> Huffman<usize> {
let alphabet = (0..length).collect();
let lengths = DynamicBlock::read_code_lengths(length, input_stream, code_length_huf... | let result = Huffman::new(&alphabet, &lengths); | random_line_split |
deflate.rs | use super::Source;
use super::huffman::Huffman;
use super::bitstream::BitStream;
use super::bufferedwriter::BufferedWriter;
struct DynamicBlock {
// If we encounter a repeat, we should set our state so that we keep producing
// repeats until they run out, instead of reading from the bit stream.
repeats_remaining: u... |
},
Huffman::Leaf(value) => *value,
Huffman::DeadEnd => panic!("Reached dead end!"),
}
}
fn next(&mut self, bit_stream: &mut BitStream) -> DEFLATEResult {
if self.repeats_remaining > 0 {
self.repeats_remaining -= 1;
return DEFLATEResult::Repeat(self.last_repeat_distance)
}
let value = Dynamic... | {
DynamicBlock::get_next_huffman_encoded_value(zero, input_stream)
} | conditional_block |
pykernel.py | #!/usr/bin/env python
"""A simple interactive kernel that talks to a frontend over 0MQ.
Things to do:
* Implement `set_parent` logic. Right before doing exec, the Kernel should
call set_parent on all the PUB objects with the message about to be executed.
* Implement random port and security key logic.
* Implement c... | (self, ident, parent):
try:
code = parent[u'content'][u'code']
except:
print>>sys.__stderr__, "Got bad msg: "
print>>sys.__stderr__, Message(parent)
return
pyin_msg = self.session.msg(u'pyin',{u'code':code}, parent=parent)
self.pub_socket.s... | execute_request | identifier_name |
pykernel.py | #!/usr/bin/env python
"""A simple interactive kernel that talks to a frontend over 0MQ.
Things to do:
* Implement `set_parent` logic. Right before doing exec, the Kernel should
call set_parent on all the PUB objects with the message about to be executed.
* Implement random port and security key logic.
* Implement c... | handler(ident, omsg)
def record_ports(self, xrep_port, pub_port, req_port, hb_port):
"""Record the ports that this kernel is using.
The creator of the Kernel instance must call this methods if they
want the :meth:`connect_request` method to return the port numbers.
... | print>>sys.__stdout__, omsg
handler = self.handlers.get(omsg.msg_type, None)
if handler is None:
print >> sys.__stderr__, "UNKNOWN MESSAGE TYPE:", omsg
else: | random_line_split |
pykernel.py | #!/usr/bin/env python
"""A simple interactive kernel that talks to a frontend over 0MQ.
Things to do:
* Implement `set_parent` logic. Right before doing exec, the Kernel should
call set_parent on all the PUB objects with the message about to be executed.
* Implement random port and security key logic.
* Implement c... |
return symbol, []
#-----------------------------------------------------------------------------
# Kernel main and launch functions
#-----------------------------------------------------------------------------
def launch_kernel(ip=None, xrep_port=0, pub_port=0, req_port=0, hb_port=0,
inde... | new_symbol = getattr(symbol, name, None)
if new_symbol is None:
return symbol, context[i:]
else:
symbol = new_symbol | conditional_block |
pykernel.py | #!/usr/bin/env python
"""A simple interactive kernel that talks to a frontend over 0MQ.
Things to do:
* Implement `set_parent` logic. Right before doing exec, the Kernel should
call set_parent on all the PUB objects with the message about to be executed.
* Implement random port and security key logic.
* Implement c... |
def start(self):
""" Start the kernel main loop.
"""
while True:
ident = self.reply_socket.recv()
assert self.reply_socket.rcvmore(), "Missing message part."
msg = self.reply_socket.recv_json()
omsg = Message(msg)
print>>sys.__std... | super(Kernel, self).__init__(**kwargs)
self.user_ns = {}
self.history = []
self.compiler = CommandCompiler()
self.completer = KernelCompleter(self.user_ns)
# Build dict of handlers for message types
msg_types = [ 'execute_request', 'complete_request',
... | identifier_body |
E4418.py | import time
from ..SCPI import scpi
# main class
# ==========
class E4418(scpi.scpi_family):
manufacturer = 'Agilent'
product_name = 'E4418'
classification = 'Power Meter'
_scpi_enable = '*CLS *DDT *ESE *ESR? *IDN? *OPC *OPT? *RCL *RST *SAV ' +\
'*SRE *STB? *TST? *WAI'
... |
_msg = 'Power meter returned Error message.\n'
emsg = '%s (%d)\n'%(msg, num)
_msg += '*'*len(emsg) + '\n'
_msg += emsg
_msg += '*'*len(emsg) + '\n'
raise StandardError(_msg)
return
| if msg == e.msg:
emsg = '%s (%d)'%(e.msg, e.num)
msg = 'Power meter returned Error message.\n'
msg += '*'*len(emsg) + '\n'
msg += emsg + '\n'
msg += '*'*len(emsg) + '\n'
msg += e.txt + '\n'
raise StandardErro... | conditional_block |
E4418.py | import time
from ..SCPI import scpi
# main class
# ==========
class E4418(scpi.scpi_family):
manufacturer = 'Agilent'
product_name = 'E4418'
classification = 'Power Meter'
_scpi_enable = '*CLS *DDT *ESE *ESR? *IDN? *OPC *OPT? *RCL *RST *SAV ' +\
'*SRE *STB? *TST? *WAI'
... | if num==0: return
for e in cls.error_list:
if msg == e.msg:
emsg = '%s (%d)'%(e.msg, e.num)
msg = 'Power meter returned Error message.\n'
msg += '*'*len(emsg) + '\n'
msg += emsg + '\n'
msg += '*'*len(emsg) + '\n'
... | identifier_body | |
E4418.py | import time
from ..SCPI import scpi
# main class
# ==========
class E4418(scpi.scpi_family):
manufacturer = 'Agilent'
product_name = 'E4418'
classification = 'Power Meter'
_scpi_enable = '*CLS *DDT *ESE *ESR? *IDN? *OPC *OPT? *RCL *RST *SAV ' +\
'*SRE *STB? *TST? *WAI'
... | -------------------------------
This command is used to enable and disable averaging.
Args
====
< on_off : int or str : 0,1,'ON','OFF' >
Specify the averaging status.
0 = 'OFF', 1 = 'ON'
< ch : int : 1,2 >
Specify the ... | def average_on_off(self, on_off, ch=1):
"""
SENSn:AVER : Set Average ON/OFF | random_line_split |
E4418.py | import time
from ..SCPI import scpi
# main class
# ==========
class E4418(scpi.scpi_family):
manufacturer = 'Agilent'
product_name = 'E4418'
classification = 'Power Meter'
_scpi_enable = '*CLS *DDT *ESE *ESR? *IDN? *OPC *OPT? *RCL *RST *SAV ' +\
'*SRE *STB? *TST? *WAI'
... | (self):
err_num, err_msg = self.error_query()
error_handler.check(err_num, err_msg)
return
def error_query(self):
"""
SYST:ERR? : Query Error Numbers
-------------------------------
This query returns error numbers and messages from the power meter's
... | _error_check | identifier_name |
main.rs | // #! global
// #![warn()] enable
// #![allow()] disable
#![allow(non_snake_case)]
#![allow(dead_code)]
use hmac::Hmac;
use http::method;
use openssl::{hash, pkcs5::pbkdf2_hmac};
use reqwest::Client;
use std::{borrow::Borrow, collections::{HashMap, VecDeque}, default, ops::Index};
use std::{fs::File, usize};
// use sh... | }
fn md5str(s: String) -> String {
let mut hasher = md5::Md5::new();
hasher.input_str(&s);
hasher.result_str()
}
fn escapeUri(s: String) -> String {
// let s = String::from("/xx/中文.log");
if s == "" {
let _s = String::from("中文");
}
let escape: [u32; 8] = [
0xffffffff, 0xfc0... |
}
Ok(())
} | random_line_split |
main.rs | // #! global
// #![warn()] enable
// #![allow()] disable
#![allow(non_snake_case)]
#![allow(dead_code)]
use hmac::Hmac;
use http::method;
use openssl::{hash, pkcs5::pbkdf2_hmac};
use reqwest::Client;
use std::{borrow::Borrow, collections::{HashMap, VecDeque}, default, ops::Index};
use std::{fs::File, usize};
// use sh... | yper::Method, url:String, headers: HashMap<String,String>, body: Vec<u8>){
match hyper::Request::builder().method(method).uri(url).body(body){
Ok(req) => {
for (key,value) in headers{
if key.to_lowercase() == "host"{
// req.
... | Some(Value ) => Value.to_string(),
None => host
}
}
/// FIXME
fn doHTTPRequest(&mut self,method: h | identifier_body |
main.rs | // #! global
// #![warn()] enable
// #![allow()] disable
#![allow(non_snake_case)]
#![allow(dead_code)]
use hmac::Hmac;
use http::method;
use openssl::{hash, pkcs5::pbkdf2_hmac};
use reqwest::Client;
use std::{borrow::Borrow, collections::{HashMap, VecDeque}, default, ops::Index};
use std::{fs::File, usize};
// use sh... | (self) -> Self {
self
}
}
impl UpYunConfig {
fn new(Bucket: String, Operator: String, Password: String) -> Self{
UpYunConfig{
Bucket:Bucket,
Operator:Operator,
Password: Password,
..Default::default()
}
}
fn build(mut self) -> Sel... | build | identifier_name |
main.rs | // #! global
// #![warn()] enable
// #![allow()] disable
#![allow(non_snake_case)]
#![allow(dead_code)]
use hmac::Hmac;
use http::method;
use openssl::{hash, pkcs5::pbkdf2_hmac};
use reqwest::Client;
use std::{borrow::Borrow, collections::{HashMap, VecDeque}, default, ops::Index};
use std::{fs::File, usize};
// use sh... | .to_string(),
":".to_string(),
sign_str,
];
let _back_str = back_vec.concat();
}
#[test]
fn hmac_test() {
let value = "xx".as_bytes();
let key = "yy".as_bytes();
assert_eq!(
"3124cf1daef6d713c312065988652d8b7fca587e".to_string(),
... | ring> = vec![
"Upyun".to_string(),
"Operator" | conditional_block |
BankDataset.py |
# coding: utf-8
# In[1]:
get_ipython().run_cell_magic('javascript', '', '<!-- Ignore this block -->\nIPython.OutputArea.prototype._should_scroll = function(lines) {\n return false;\n}')
# In[2]:
#%config InlineBackend.figure_format = 'retina'
from __future__ import division
import pandas as pd
from itertool... |
"""Shuffle the indices"""
np.random.shuffle(indices)
"""Will split. May be uneven"""
batches = np.array_split(indices, batchSize)
if verbose:
print("Total batches created"+str(len(batches)))
... | print("Epoch-"+str(i)) | conditional_block |
BankDataset.py | # coding: utf-8
# In[1]:
get_ipython().run_cell_magic('javascript', '', '<!-- Ignore this block -->\nIPython.OutputArea.prototype._should_scroll = function(lines) {\n return false;\n}')
# In[2]:
#%config InlineBackend.figure_format = 'retina'
from __future__ import division
import pandas as pd
from itertools... | B = B - B.mean()
return ((A * B).sum())/(sqrt((A * A).sum()) * sqrt((B * B).sum()))
# ### TextEncoder
#
# Here the data is mix of numbers and text. Text value cannot be directly used and should be converted to numeric data.<br>
# For this I have created a function text encoder which accepts a pandas series.... | """Generate pearson's coefficient"""
def generatePearsonCoefficient(A, B):
A = A - A.mean() | random_line_split |
BankDataset.py |
# coding: utf-8
# In[1]:
get_ipython().run_cell_magic('javascript', '', '<!-- Ignore this block -->\nIPython.OutputArea.prototype._should_scroll = function(lines) {\n return false;\n}')
# In[2]:
#%config InlineBackend.figure_format = 'retina'
from __future__ import division
import pandas as pd
from itertool... | (x):
mean = np.mean(x)
stdDeviation = np.std(x)
return x.apply(lambda y: ((y * 1.0) - mean)/(stdDeviation))
# ## SplitDataSet Procedure
# This method splits the dataset into trainset and testset based upon the trainSetSize value. For splitting the dataset, I am using pandas.sample to split the data. This ... | scaleFeature | identifier_name |
BankDataset.py |
# coding: utf-8
# In[1]:
get_ipython().run_cell_magic('javascript', '', '<!-- Ignore this block -->\nIPython.OutputArea.prototype._should_scroll = function(lines) {\n return false;\n}')
# In[2]:
#%config InlineBackend.figure_format = 'retina'
from __future__ import division
import pandas as pd
from itertool... |
# ## Regularization
# <img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/d55221bf8c9b730ff7c4eddddb9473af47bb1d1c">
# ### L2 loss
# L2 loss or Tikhonov regularization
# <img src="https://wikimedia.org/api/rest_v1/media/math/render/svg/7328255ad4abce052b3f6f39c43e974808d0cdb6">
# Caution: Do not regul... | return 1.0/(1.0 + np.exp(-x)) | identifier_body |
tos.py | # Copyright (c) 2008 Johns Hopkins University.
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose, without fee, and without written
# agreement is hereby granted, provided that the above copyright
# notice, the (updated) modification history ... |
self._out_lock.acquire()
self._seqno = (self._seqno + 1) % 100
packet = DataFrame();
packet.protocol = self.SERIAL_PROTO_PACKET_ACK
packet.seqno = self._seqno
packet.dispatch = 0
packet.data = payload
packet = packet.payload()
crc = self._crc16(0,... | payload = payload.payload() | conditional_block |
tos.py | # Copyright (c) 2008 Johns Hopkins University.
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose, without fee, and without written
# agreement is hereby granted, provided that the above copyright
# notice, the (updated) modification history ... | (Packet):
def __init__(self, gpacket = None, amid = 0x00, dest = 0xFFFF):
if type(gpacket) == type([]):
payload = gpacket
else:
# Assume this will be derived from Packet
payload = None
Packet.__init__(self,
[('destination', 'int', 2... | ActiveMessage | identifier_name |
tos.py | # Copyright (c) 2008 Johns Hopkins University.
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose, without fee, and without written
# agreement is hereby granted, provided that the above copyright
# notice, the (updated) modification history ... | self._s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._s.connect((host, port))
data = self._s.recv(2)
if data != 'U ':
print "Wrong handshake"
self._s.send("U ")
print "Connected"
thread.start_new_thread(self.run, ())
def run(self):
... | class SFClient:
def __init__(self, host, port, qsize=10):
self._in_queue = Queue(qsize) | random_line_split |
tos.py | # Copyright (c) 2008 Johns Hopkins University.
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose, without fee, and without written
# agreement is hereby granted, provided that the above copyright
# notice, the (updated) modification history ... |
def __setattr__(self, name, value):
if type(name) == type(0):
self._values[name] = value
else:
self._values[self._names.index(name)] = value
def __ne__(self, other):
if other.__class__ == self.__class__:
return self._values != other._values
... | if type(name) == type(0):
return self._names[name]
else:
return self._values[self._names.index(name)] | identifier_body |
screen.component.ts | import {Component, Input, OnChanges, OnDestroy, OnInit, SimpleChanges} from '@angular/core';
import * as THREE from 'three';
import {
BoxGeometry,
Line,
Mesh,
MeshBasicMaterial,
Object3D,
Scene,
Vector2,
Vector3,
WebGLRenderer
} from 'three';
import * as TWEEN from '@tweenjs/tween.js';
import {Subscr... | );
this.subscriptions.push(
this.screenInteractionService.cursorState$.subscribe((state => {
if (state.position) {
this.spatialCursor.position.copy(state.position);
this.tooltipService.setMousePosition(this.getTooltipPosition(), this.screenType);
}
this.spatialC... | this.highlightBoxes.forEach((value, index) => this.highlightElement(this.scene.getObjectByName(highlightedElements[index]), value));
}) | random_line_split |
screen.component.ts | import {Component, Input, OnChanges, OnDestroy, OnInit, SimpleChanges} from '@angular/core';
import * as THREE from 'three';
import {
BoxGeometry,
Line,
Mesh,
MeshBasicMaterial,
Object3D,
Scene,
Vector2,
Vector3,
WebGLRenderer
} from 'three';
import * as TWEEN from '@tweenjs/tween.js';
import {Subscr... | (changes: SimpleChanges) {
if (this.activeViewType !== null && this.metricTree !== null && this.activeFilter !== null) {
this.isMergedView = this.activeViewType === ViewType.MERGED;
this.interactionHandler.setIsMergedView(this.isMergedView);
if (this.isMergedView) {
this.view = new Merged... | ngOnChanges | identifier_name |
screen.component.ts | import {Component, Input, OnChanges, OnDestroy, OnInit, SimpleChanges} from '@angular/core';
import * as THREE from 'three';
import {
BoxGeometry,
Line,
Mesh,
MeshBasicMaterial,
Object3D,
Scene,
Vector2,
Vector3,
WebGLRenderer
} from 'three';
import * as TWEEN from '@tweenjs/tween.js';
import {Subscr... |
}
resumeRendering() {
if (this.renderingIsPaused) {
this.render();
this.renderingIsPaused = false;
}
}
prepareView(metricTree) {
if (metricTree.children.length === 0) {
return;
}
this.view.setMetricTree(metricTree);
this.view.recalculate();
this.view.getBlockElem... | {
cancelAnimationFrame(this.requestAnimationFrameId);
this.resetScene();
this.renderingIsPaused = true;
} | conditional_block |
screen.component.ts | import {Component, Input, OnChanges, OnDestroy, OnInit, SimpleChanges} from '@angular/core';
import * as THREE from 'three';
import {
BoxGeometry,
Line,
Mesh,
MeshBasicMaterial,
Object3D,
Scene,
Vector2,
Vector3,
WebGLRenderer
} from 'three';
import * as TWEEN from '@tweenjs/tween.js';
import {Subscr... |
private handleViewChanged() {
this.updateCamera();
this.updateRenderer();
}
private applyFilter(activeFilter: IFilter) {
for (let i = this.scene.children.length - 1; i >= 0; i--) {
const node = this.scene.children[i];
if (node.userData && (node.userData.type === NodeType.FILE || node.us... | {
window.addEventListener('resize', this.handleViewChanged.bind(this), false);
} | identifier_body |
zun.go | package openstack
import (
"context"
"fmt"
"github.com/gophercloud/gophercloud"
"github.com/gophercloud/gophercloud/openstack"
zun_container "github.com/gophercloud/gophercloud/openstack/container/v1/container"
"github.com/gophercloud/gophercloud/pagination"
"github.com/virtual-kubelet/virtual-kubelet/manager"
... | (c *zun_container.Container, podInfo *PodOTemplate) (pod *v1.Pod, err error) {
containers := make([]v1.Container, 1)
containerStatuses := make([]v1.ContainerStatus, 0)
containerMemoryMB := 0
if c.Memory != "" {
containerMemory, err := strconv.Atoi(c.Memory)
if err != nil {
log.Println(err)
}
containerMem... | containerToPod | identifier_name |
zun.go | package openstack
import (
"context"
"fmt"
"github.com/gophercloud/gophercloud"
"github.com/gophercloud/gophercloud/openstack"
zun_container "github.com/gophercloud/gophercloud/openstack/container/v1/container"
"github.com/gophercloud/gophercloud/pagination"
"github.com/virtual-kubelet/virtual-kubelet/manager"
... |
createOpts.Cpu = cpuLimit
createOpts.Memory = int(memoryLimit)
} else if container.Resources.Requests != nil {
cpuRequests := float64(1)
if _, ok := container.Resources.Requests[v1.ResourceCPU]; ok {
cpuRequests = float64(container.Resources.Requests.Cpu().MilliValue()) / 1000.00
}
memoryRequ... | {
memoryLimit = float64(container.Resources.Limits.Memory().Value()) / (1024 * 1024)
} | conditional_block |
zun.go | package openstack
import (
"context"
"fmt"
"github.com/gophercloud/gophercloud"
"github.com/gophercloud/gophercloud/openstack"
zun_container "github.com/gophercloud/gophercloud/openstack/container/v1/container"
"github.com/gophercloud/gophercloud/pagination"
"github.com/virtual-kubelet/virtual-kubelet/manager"
... | cpuLimit = float64(container.Resources.Limits.Cpu().MilliValue()) / 1000.00
}
memoryLimit := 0.5
if _, ok := container.Resources.Limits[v1.ResourceMemory]; ok {
memoryLimit = float64(container.Resources.Limits.Memory().Value()) / (1024 * 1024)
}
createOpts.Cpu = cpuLimit
createOpts.Memory = ... | if container.Resources.Limits != nil {
cpuLimit := float64(1)
if _, ok := container.Resources.Limits[v1.ResourceCPU]; ok { | random_line_split |
zun.go | package openstack
import (
"context"
"fmt"
"github.com/gophercloud/gophercloud"
"github.com/gophercloud/gophercloud/openstack"
zun_container "github.com/gophercloud/gophercloud/openstack/container/v1/container"
"github.com/gophercloud/gophercloud/pagination"
"github.com/virtual-kubelet/virtual-kubelet/manager"
... |
// OperatingSystem returns the operating system the provider is for.
func (p *ZunProvider) OperatingSystem() string {
if p.operatingSystem != "" {
return p.operatingSystem
}
return providers.OperatingSystemLinux
}
func zunContainerStausToContainerStatus(cs *zun_container.Container) v1.ContainerState {
// Zun a... | {
return &v1.NodeDaemonEndpoints{
KubeletEndpoint: v1.DaemonEndpoint{
Port: p.daemonEndpointPort,
},
}
} | identifier_body |
EDA.py | #!/usr/bin/env python
# coding: utf-8
# 
#
# ## BT2101 Final Project
# ### I. Import Libraries
# In[268]:
get_ipython().run_line_magic('matplotlib', 'inline')
# Imports
from clr import AddReference
AddReference("System")
AddReference("QuantCo... | model = ARIMA(data_train, order=(p,1,1))
model_fit = model.fit(disp=0)
if model_fit.aic <= best_AIC:
best_model, best_AIC = model, model_fit.aic | conditional_block | |
EDA.py | #!/usr/bin/env python
# coding: utf-8
# 
#
# ## BT2101 Final Project
# ### I. Import Libraries
# In[268]:
get_ipython().run_line_magic('matplotlib', 'inline')
# Imports
from clr import AddReference
AddReference("System")
AddReference("QuantCo... | dfoutput['Critical Value (%s)'%key] = value
print (dfoutput)
# #### This time, we find that Dickey-Fuller test is significant (p-value<5%). This means, after removing general trend, the time series data probably become stationary.
#
# #### However, let us decompose the time series into trend, seasonality and re... | # Dickey-Fuller test
dftest = adfuller(data_log_moving_avg_diff, autolag=None)
dfoutput = pd.Series(dftest[0:4], index=['Test Statistic','p-value','#Lags Used','Number of Observations Used'])
for key, value in dftest[4].items(): | random_line_split |
EDA.py | #!/usr/bin/env python
# coding: utf-8
# 
#
# ## BT2101 Final Project
# ### I. Import Libraries
# In[268]:
get_ipython().run_line_magic('matplotlib', 'inline')
# Imports
from clr import AddReference
AddReference("System")
AddReference("QuantCo... |
# In[271]:
## modified function for plotting BollingerBand ##
'''
Based off some research done online, our group has decided to drill down further
into the following 3 currency pairs due to their relatively higher volatility.
The pair with the highest volatility was eventually chosen as the base pair acting
a... | plt.style.use('fivethirtyeight')
fig = plt.figure(figsize=(12,6))
ax = fig.add_subplot(111)
ax.set_title(cp)
ax.set_xlabel('Time')
ax.set_ylabel('Exchange Rate')
x_axis = list(data.loc[data['symbol'] == cp]['time'])
# x_axis = data.loc[data['symbol'] == cp].index.get_level_values(0)
... | identifier_body |
EDA.py | #!/usr/bin/env python
# coding: utf-8
# 
#
# ## BT2101 Final Project
# ### I. Import Libraries
# In[268]:
get_ipython().run_line_magic('matplotlib', 'inline')
# Imports
from clr import AddReference
AddReference("System")
AddReference("QuantCo... | (cp, data, mean, std):
plt.style.use('fivethirtyeight')
fig = plt.figure(figsize=(12,6))
ax = fig.add_subplot(111)
ax.set_title(cp)
ax.set_xlabel('Time')
ax.set_ylabel('Exchange Rate')
x_axis = list(data.loc[data['symbol'] == cp]['time'])
# x_axis = data.loc[data['symbol'] == cp].in... | BollingerBand | identifier_name |
inference.py | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
@functools.lru_cache(maxsize=None)
def memoized_inferrer(
savedmodel_dir_path,
activation_type=tf.saved_model.signature_constants
.DEFAULT_SERVING_SIGNATURE_DEF_KEY,
batch_size=16,
use_tqdm=False,
session_config=None,
memoize_inference_results=False,
use_latest_savedmodel=False,
):
... | """Add an in-graph inferrer to the active default graph.
Additionally performs in-graph preprocessing, splitting strings, and encoding
residues.
Args:
sequences: A tf.string Tensor representing a batch of sequences with shape
[None].
savedmodel_dir_path: Path to the directory with the SavedModel b... | identifier_body |
inference.py | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | (self, name):
return self._graph.get_tensor_by_name('{}/{}'.format(
self._model_name_scope, name))
def _get_activations_for_batch_unmemoized(self,
seqs,
custom_tensor_to_retrieve=None):
"""Gets activations for eac... | _get_tensor_by_name | identifier_name |
inference.py | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
# |
"""Compute activations for trained model from input sequences."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import base64
import functools
import gzip
import io
import itertools
import os
from typing import Dict, FrozenSet, Iterator, List, Text, Tupl... | # Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License. | random_line_split |
inference.py | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
# Sort by suffix to take the model corresponding the most
# recent training step.
return os.path.join(protein_export_base_path, sorted(suffixes)[-1])
def predictions_for_df(df, inferrer):
"""Returns df with column that's the activations for each sequence.
Args:
df: DataFrame with columns 'sequence' a... | raise ValueError('No SavedModels found in %s' % protein_export_base_path) | conditional_block |
session.go | package session
import (
"context"
"crypto/tls"
"crypto/x509"
"errors"
"fmt"
"io"
"net"
"sync"
"time"
log "github.com/Sirupsen/logrus"
"github.com/fuserobotics/netproto"
"github.com/fuserobotics/quic-channel/identity"
"github.com/fuserobotics/quic-channel/network"
"github.com/fuserobotics/quic-channel/p... |
l := log.WithField("streamType", streamType)
stream, err := s.session.OpenStream()
if err != nil {
return nil, err
}
streamId := stream.ID()
l = l.WithField("stream", streamId)
l.Debug("Stream opened (by us)")
rw := packet.NewPacketReadWriter(stream)
err = rw.WriteProtoPacket(&StreamInit{StreamType: uint... | {
return nil, fmt.Errorf("Unknown stream type: %d", streamType)
} | conditional_block |
session.go | package session
import (
"context"
"crypto/tls"
"crypto/x509"
"errors"
"fmt"
"io"
"net"
"sync"
"time"
log "github.com/Sirupsen/logrus"
"github.com/fuserobotics/netproto"
"github.com/fuserobotics/quic-channel/identity"
"github.com/fuserobotics/quic-channel/network"
"github.com/fuserobotics/quic-channel/p... | // GetLocalAddr returns the local address.
func (s *Session) GetLocalAddr() net.Addr {
return s.session.LocalAddr()
}
// GetRemoteAddr returns the remote address.
func (s *Session) GetRemoteAddr() net.Addr {
return s.session.RemoteAddr()
}
// acceptStreamPump handles incoming streams.
func (s *Session) acceptStream... | }
| random_line_split |
session.go | package session
import (
"context"
"crypto/tls"
"crypto/x509"
"errors"
"fmt"
"io"
"net"
"sync"
"time"
log "github.com/Sirupsen/logrus"
"github.com/fuserobotics/netproto"
"github.com/fuserobotics/quic-channel/identity"
"github.com/fuserobotics/quic-channel/network"
"github.com/fuserobotics/quic-channel/p... |
// GetLocalAddr returns the local address.
func (s *Session) GetLocalAddr() net.Addr {
return s.session.LocalAddr()
}
// GetRemoteAddr returns the remote address.
func (s *Session) GetRemoteAddr() net.Addr {
return s.session.RemoteAddr()
}
// acceptStreamPump handles incoming streams.
func (s *Session) acceptStre... | {
if s.inter != nil {
return s.inter
}
remAddr := s.session.RemoteAddr()
uadr, ok := remAddr.(*net.UDPAddr)
if !ok {
return nil
}
inter, _ := network.FromAddr(uadr.IP)
s.inter = inter
return inter
} | identifier_body |
session.go | package session
import (
"context"
"crypto/tls"
"crypto/x509"
"errors"
"fmt"
"io"
"net"
"sync"
"time"
log "github.com/Sirupsen/logrus"
"github.com/fuserobotics/netproto"
"github.com/fuserobotics/quic-channel/identity"
"github.com/fuserobotics/quic-channel/network"
"github.com/fuserobotics/quic-channel/p... | (handler StreamHandler, stream netproto.Stream) {
id := stream.ID()
s.streamHandlersMtx.Lock()
s.streamHandlers[uint32(id)] = handler
s.streamHandlersMtx.Unlock()
ctx, ctxCancel := context.WithCancel(s.childContext)
defer ctxCancel()
err := handler.Handle(ctx)
l := s.log.WithField("stream", uint32(id))
sele... | runStreamHandler | identifier_name |
rpnet.py | # Compared to fh0.py
# fh02.py remove the redundant ims in model input
from __future__ import print_function, division
import cv2
import torch
import torch.nn as nn
import torch.optim as optim
import sys
from torch.autograd import Variable
import numpy as np
import os
import argparse
from time import time
from load_dat... | x2 = self.wR2.module.features[2](_x1)
_x3 = self.wR2.module.features[3](x2)
x4 = self.wR2.module.features[4](_x3)
_x5 = self.wR2.module.features[5](x4)
x6 = self.wR2.module.features[6](_x5)
x7 = self.wR2.module.features[7](x6)
x8 = self.wR2.module.features[8](x7)... | torch.cuda.device_count()))
else:
self.wR2 = torch.nn.DataParallel(self.wR2)
if not path is None:
if use_gpu:
self.wR2.load_state_dict(torch.load(path))
else:
self.wR2.load_state_dict(torch.load(path,map_location='cpu'))
# ... | identifier_body |
rpnet.py | # Compared to fh0.py
# fh02.py remove the redundant ims in model input
from __future__ import print_function, division
import cv2
import torch
import torch.nn as nn
import torch.optim as optim
import sys
from torch.autograd import Variable
import numpy as np
import os
import argparse
from time import time
from load_dat... |
class fh02(nn.Module):
def __init__(self, num_points, num_classes, wrPath=None):
super(fh02, self).__init__()
self.load_wR2(wrPath)
self.classifier1 = nn.Sequential(
# nn.Dropout(),
nn.Linear(53248, 128),
# nn.ReLU(inplace=True),
# nn.Dropout... | def forward(self, x):
x1 = self.features(x)
x11 = x1.view(x1.size(0), -1)
x = self.classifier(x11)
return x | random_line_split |
rpnet.py | # Compared to fh0.py
# fh02.py remove the redundant ims in model input
from __future__ import print_function, division
import cv2
import torch
import torch.nn as nn
import torch.optim as optim
import sys
from torch.autograd import Variable
import numpy as np
import os
import argparse
from time import time
from load_dat... | tial(
nn.Conv2d(in_channels=3, out_channels=48, kernel_size=5, padding=2, stride=2),
nn.BatchNorm2d(num_features=48),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2, padding=1),
nn.Dropout(0.2)
)
hidden2 = nn.Sequential(
nn.Conv2d(... | uen | identifier_name |
rpnet.py | # Compared to fh0.py
# fh02.py remove the redundant ims in model input
from __future__ import print_function, division
import cv2
import torch
import torch.nn as nn
import torch.optim as optim
import sys
from torch.autograd import Variable
import numpy as np
import os
import argparse
from time import time
from load_dat... | assfication_loss：{} ] spend time:{}'.format(epoch,i,torch.sum(total)//batchSize//batchSize, sum(lossAver) / len(lossAver), detection_loss,classfication_loss, time()-start))
# if i % 50 == 1:#没50个batch写一次日志
# with open(args['writeFile'], 'a') as outF:
# outF.write('... | {}/{}]===>train average loss:{} = [detection_loss : {} + cl | conditional_block |
LatexGenerator.py | #!/bin/env python
################################################################################
#
# file : LatexGenerator.py
#
# author: Lakshmi Manohar Rao Velicheti - lveliche@iupui.edu
#
################################################################################
from ..ReportGenerator import ReportGenerat... |
# Handle the bugs
for bug in suite.bugs:
# Find the target, this will create the necessary keys if required
target = self._get_target (weakness, suite, bug)
if not target:
# First time seeing this file/fuction/line, need to set its value
newdict =... | target['flaws'].append (flaw) | conditional_block |
LatexGenerator.py | #!/bin/env python
################################################################################
#
# file : LatexGenerator.py
#
# author: Lakshmi Manohar Rao Velicheti - lveliche@iupui.edu
#
################################################################################
from ..ReportGenerator import ReportGenerat... |
#
# Build a datapoint from the provided data structure
#
def build_datapoint (self, organizer, data, wrong_checker_is_fp):
# Get the probability matrix
(tp, fp, fn) = self.compute_probability (data, wrong_checker_is_fp)
# Build a data point
result = DataPoint ()
result.tp = tp
result... | organizer = Organizer (grainularity,
truth,
build)
organizer.organize ()
# We create two permutations for each grainularity:
# One where Bugs with wrong checkers count as false postives ([tool].[grainularity].tex)
# One where Bugs with wrong checker... | identifier_body |
LatexGenerator.py | #!/bin/env python
################################################################################
#
# file : LatexGenerator.py
#
# author: Lakshmi Manohar Rao Velicheti - lveliche@iupui.edu
#
################################################################################
from ..ReportGenerator import ReportGenerat... | (self, args):
# Call the base class (Command) init
super (LatexGenerator, self).parse_args (args)
self.pages = []
self.appendix = None
self.load_pages ()
#
# Load the pages
#
def load_pages (self):
# Some pages are repeated per grainularity (i.e. Summary). These should
# be in the... | parse_args | identifier_name |
LatexGenerator.py | #!/bin/env python
################################################################################
#
# file : LatexGenerator.py
#
# author: Lakshmi Manohar Rao Velicheti - lveliche@iupui.edu
#
################################################################################
from ..ReportGenerator import ReportGenerat... | def organize (self):
self._group (self.truth_rs)
self._group (self.build_rs)
def _group (self, result_set):
for weakness in result_set.weaknesses ():
for suite in weakness.suites:
# Handle the flaws
for flaw in suite.flaws:
# Find the target, this will create the necessa... | random_line_split | |
admin.js | // ************************ Drag and drop ***************** //
let dropArea = document.getElementById("drop-area")
// Prevent default drag behaviors
;
['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
dropArea.addEventListener(eventName, preventDefaults, false)
document.body.addEventListene... | (e) {
dropArea.classList.add('highlight')
}
function unhighlight(e) {
dropArea.classList.remove('active')
}
function handleDrop(e) {
e.preventDefault();
e.stopPropagation();
var items = e.dataTransfer.items;
var files = e.dataTransfer.files;
console.log(items, files);
let p = Promise... | highlight | identifier_name |
admin.js | // ************************ Drag and drop ***************** //
let dropArea = document.getElementById("drop-area")
// Prevent default drag behaviors
;
['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
dropArea.addEventListener(eventName, preventDefaults, false)
document.body.addEventListene... | lterComponent(queryData);
// updateChart();
// renderGraph();
}) | {
initVersionPanel();
initFi | identifier_body |
admin.js | // ************************ Drag and drop ***************** //
let dropArea = document.getElementById("drop-area")
// Prevent default drag behaviors
;
['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
dropArea.addEventListener(eventName, preventDefaults, false)
document.body.addEventListene... | });
}
function onUploadFilesDone() {
let data = {
version: document.getElementById("publishVersion").value,
update_teacher: document.getElementById("checkbox-update-teacher").checked,
update_student: document.getElementById("checkbox-update-student").checked,
update_server: docu... | random_line_split | |
admin.js | // ************************ Drag and drop ***************** //
let dropArea = document.getElementById("drop-area")
// Prevent default drag behaviors
;
['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
dropArea.addEventListener(eventName, preventDefaults, false)
document.body.addEventListene... | }, false);
return xhr;
},
type: "POST",
url: "./upload.php",
processData: false,
contentType: false,
success: function (data) {
console.log(data);
if (da... | var percentComplete = evt.loaded / evt.total;
//Do something with upload progress
$('#progressbar').css("width", (percentComplete * 100) + "%");
console.log(percentComplete);
}
| conditional_block |
demo.py | #!/usr/bin/env python
########################################
# Mario Rosasco, 2017
########################################
from Model import *
from Visualization import *
from scipy.optimize import minimize
from allensdk.ephys.ephys_features import detect_putative_spikes
import numpy as np
import sys
... | continue
# test pulse example
if selection == 1:
# Run the model with a test pulse of the 'long square' type
print "Running model with a long square current injection pulse of 210pA"
output = currModel.long_square(0.21)
... | print "Invalid selection."
| random_line_split |
demo.py | #!/usr/bin/env python
########################################
# Mario Rosasco, 2017
########################################
from Model import *
from Visualization import *
from scipy.optimize import minimize
from allensdk.ephys.ephys_features import detect_putative_spikes
import numpy as np
import sys
... |
def run_visualization(currModel, show_simulation_dynamics = False):
print "Setting up visualization..."
morphology = currModel.get_reconstruction()
# Prepare model coordinates for uploading to OpenGL.
tempIndices = []
tempVertices = []
n_index = 0
tempX = []
... | print "Loading parameters for model", modelID
selection=raw_input('Would you like to download NWB data for model? [Y/N] ')
if selection[0] == 'y' or selection[0] == 'Y':
currModel = Model(modelID, cache_stim = True)
if selection[0] == 'n' or selection[0] == 'N':
currModel = Model(modelI... | identifier_body |
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