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рутноп хоп хлоп тензорфлоп

kpmy 5 년 전
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66dca83116
11개의 변경된 파일158개의 추가작업 그리고 0개의 파일을 삭제
  1. 44 0
      .editorconfig
  2. 3 0
      .gitignore
  3. 0 0
      __init__.py
  4. 1 0
      mood/__init__.py
  5. 3 0
      mood/boom.py
  6. 32 0
      ne.py
  7. 68 0
      odd.py
  8. 0 0
      python
  9. 1 0
      requirements.txt
  10. 3 0
      some.py
  11. 3 0
      venv/pyvenv.cfg

+ 44 - 0
.editorconfig

@@ -0,0 +1,44 @@
+# https://editorconfig.org/
+
+root = true
+
+[*]
+indent_style = space
+indent_size = 4
+insert_final_newline = true
+trim_trailing_whitespace = true
+end_of_line = lf
+charset = utf-8
+
+# Docstrings and comments use max_line_length = 79
+[*.py]
+max_line_length = 119
+
+# Use 2 spaces for the HTML files
+[*.html]
+indent_size = 2
+
+# The JSON files contain newlines inconsistently
+[*.json]
+indent_size = 2
+insert_final_newline = ignore
+
+[**/admin/js/vendor/**]
+indent_style = ignore
+indent_size = ignore
+
+# Minified JavaScript files shouldn't be changed
+[**.min.js]
+indent_style = ignore
+insert_final_newline = ignore
+
+# Makefiles always use tabs for indentation
+[Makefile]
+indent_style = tab
+
+# Batch files use tabs for indentation
+[*.bat]
+indent_style = tab
+
+[docs/**.txt]
+max_line_length = 79

+ 3 - 0
.gitignore

@@ -58,3 +58,6 @@ docs/_build/
 # PyBuilder
 target/
 
+/*.iml
+/*.ipr
+/*.iws

+ 0 - 0
__init__.py


+ 1 - 0
mood/__init__.py

@@ -0,0 +1 @@
+

+ 3 - 0
mood/boom.py

@@ -0,0 +1,3 @@
+class Boom:
+    def kaboom(self):
+        print("kaboom")

+ 32 - 0
ne.py

@@ -0,0 +1,32 @@
+import tensorflow as tf
+
+mnist = tf.keras.datasets.mnist
+
+(x_train, y_train), (x_test, y_test) = mnist.load_data()
+x_train, x_test = x_train / 255.0, x_test / 255.0
+
+model = tf.keras.models.Sequential([
+    tf.keras.layers.Flatten(input_shape=(28, 28)),
+    tf.keras.layers.Dense(128, activation='relu'),
+    tf.keras.layers.Dropout(0.2),
+    tf.keras.layers.Dense(10)
+])
+
+predictions = model(x_train[:1]).numpy()
+print(predictions)
+
+predictions_softmax = tf.nn.softmax(predictions).numpy()
+print(predictions_softmax)
+
+loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
+loss = loss_fn(y_train[:1], predictions).numpy()
+print(loss)
+
+model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])
+model.fit(x_train, y_train, epochs=25)
+model.evaluate(x_test, y_test, verbose=2)
+probability_model = tf.keras.Sequential([model, tf.keras.layers.Softmax()])
+test0 = probability_model(x_test[:5])
+print(test0)
+
+print("doen")

+ 68 - 0
odd.py

@@ -0,0 +1,68 @@
+import math
+
+import mood.boom
+import some
+
+numbers = [1, 2, 3, 4, 5, 6]
+
+# suka blyat
+
+odd_numbers = []
+for n in numbers:
+    if n % 2 == 0:
+        odd_numbers.append(n)
+
+print(numbers, odd_numbers)
+
+cmp = 1 + 1j
+
+print(cmp)
+
+st = 'Asdfasdfasdfasфывафыва'
+
+print(st)
+
+print((st, cmp))
+
+rs = {}
+for r in [1, 2, 3]:
+    for i in range(3):
+        print((r, i, r + i * 1j))
+        rs[(r, i)] = math.pow(r, i)
+
+print(rs)
+
+
+def fn1():
+    print("blablabl")
+
+
+fn1()
+
+
+class Ass:
+    def __init__(self):
+        self.kicked = False
+
+    def kick(self):
+        self.kicked = True
+        print("kicked %(kick)s" % {'kick': 'yes'})
+
+
+ass = Ass()
+ass.kick()
+
+
+def kick_once(self):
+    print("kick again")
+
+
+Ass.kick_once = kick_once
+
+ass.kick_once()
+
+b = mood.boom.Boom()
+
+b.kaboom()
+
+some.Know()

+ 0 - 0
python


+ 1 - 0
requirements.txt

@@ -0,0 +1 @@
+tensorflow~=2.2.0

+ 3 - 0
some.py

@@ -0,0 +1,3 @@
+class Know:
+    def __init__(self):
+        print("know your tapire")

+ 3 - 0
venv/pyvenv.cfg

@@ -0,0 +1,3 @@
+home = C:\Python38
+include-system-site-packages = false
+version = 3.8.3